| 2023 | 2D-3D Interlaced Transformer for Point Cloud Segmentation with Scene-Level Supervision. Cheng-Kun Yang, Min-Hung Chen, Yung-Yu Chuang, Yen-Yu Lin |
| 2023 | 2D3D-MATR: 2D-3D Matching Transformer for Detection-free Registration between Images and Point Clouds. Minhao Li, Zheng Qin, Zhirui Gao, Renjiao Yi, Chenyang Zhu, Yulan Guo, Kai Xu |
| 2023 | 360VOT: A New Benchmark Dataset for Omnidirectional Visual Object Tracking. Huajian Huang, Yinzhe Xu, Yingshu Chen, Sai-Kit Yeung |
| 2023 | 3D Distillation: Improving Self-Supervised Monocular Depth Estimation on Reflective Surfaces. Xuepeng Shi, Georgi Dikov, Gerhard Reitmayr, Tae-Kyun Kim, Mohsen Ghafoorian |
| 2023 | 3D Human Mesh Recovery with Sequentially Global Rotation Estimation. Dongkai Wang, Shiliang Zhang |
| 2023 | 3D Implicit Transporter for Temporally Consistent Keypoint Discovery. Chengliang Zhong, Yuhang Zheng, Yupeng Zheng, Hao Zhao, Li Yi, Xiaodong Mu, Ling Wang, Pengfei Li, Guyue Zhou, Chao Yang, Xinliang Zhang, Jian Zhao |
| 2023 | 3D Instance Segmentation via Enhanced Spatial and Semantic Supervision. Salwa K. Al Khatib, Mohamed El Amine Boudjoghra, Jean Lahoud, Fahad Shahbaz Khan |
| 2023 | 3D Motion Magnification: Visualizing Subtle Motions with Time-Varying Radiance Fields. Brandon Y. Feng, Hadi Alzayer, Michael Rubinstein, William T. Freeman, Jia-Bin Huang |
| 2023 | 3D Neural Embedding Likelihood: Probabilistic Inverse Graphics for Robust 6D Pose Estimation. Guangyao Zhou, Nishad Gothoskar, Lirui Wang, Joshua B. Tenenbaum, Dan Gutfreund, Miguel Lázaro-Gredilla, Dileep George, Vikash K. Mansinghka |
| 2023 | 3D Segmentation of Humans in Point Clouds with Synthetic Data. Ayça Takmaz, Jonas Schult, Irem Kaftan, Mertcan Akçay, Bastian Leibe, Robert W. Sumner, Francis Engelmann, Siyu Tang |
| 2023 | 3D Semantic Subspace Traverser: Empowering 3D Generative Model with Shape Editing Capability. Ruowei Wang, Yu Liu, Pei Su, Jianwei Zhang, Qijun Zhao |
| 2023 | 3D VR Sketch Guided 3D Shape Prototyping and Exploration. Ling Luo, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song, Yulia Gryaditskaya |
| 2023 | 3D-Aware Generative Model for Improved Side-View Image Synthesis. Kyungmin Jo, Wonjoon Jin, Jaegul Choo, Hyunjoon Lee, Sunghyun Cho |
| 2023 | 3D-Aware Neural Body Fitting for Occlusion Robust 3D Human Pose Estimation. Yi Zhang, Pengliang Ji, Angtian Wang, Jieru Mei, Adam Kortylewski, Alan L. Yuille |
| 2023 | 3D-VisTA: Pre-trained Transformer for 3D Vision and Text Alignment. Ziyu Zhu, Xiaojian Ma, Yixin Chen, Zhidong Deng, Siyuan Huang, Qing Li |
| 2023 | 3D-aware Blending with Generative NeRFs. Hyunsu Kim, Gayoung Lee, Yunjey Choi, Jin-Hwa Kim, Jun-Yan Zhu |
| 2023 | 3D-aware Image Generation using 2D Diffusion Models. Jianfeng Xiang, Jiaolong Yang, Binbin Huang, Xin Tong |
| 2023 | 3DHacker: Spectrum-based Decision Boundary Generation for Hard-label 3D Point Cloud Attack. Yunbo Tao, Daizong Liu, Pan Zhou, Yulai Xie, Wei Du, Wei Hu |
| 2023 | 3DHumanGAN: 3D-Aware Human Image Generation with 3D Pose Mapping. Zhuoqian Yang, Shikai Li, Wayne Wu, Bo Dai |
| 2023 | 3DMOTFormer: Graph Transformer for Online 3D Multi-Object Tracking. Shuxiao Ding, Eike Rehder, Lukas Schneider, Marius Cordts, Juergen Gall |
| 2023 | 3DMiner: Discovering Shapes from Large-Scale Unannotated Image Datasets. Ta Ying Cheng, Matheus Gadelha, Sören Pirk, Thibault Groueix, Radomír Mech, Andrew Markham, Niki Trigoni |
| 2023 | 3DPPE: 3D Point Positional Encoding for Transformer-based Multi-Camera 3D Object Detection. Changyong Shu, Jiajun Deng, Fisher Yu, Yifan Liu |
| 2023 | 4D Myocardium Reconstruction with Decoupled Motion and Shape Model. Xiaohan Yuan, Cong Liu, Yangang Wang |
| 2023 | 4D Panoptic Segmentation as Invariant and Equivariant Field Prediction. Minghan Zhu, Shizhong Han, Maani Ghaffari, Hong Cai, Fatih Porikli, Shubhankar Borse |
| 2023 | A 5-Point Minimal Solver for Event Camera Relative Motion Estimation. Ling Gao, Hang Su, Daniel Gehrig, Marco Cannici, Davide Scaramuzza, Laurent Kneip |
| 2023 | A Benchmark for Chinese-English Scene Text Image Super-resolution. Jianqi Ma, Zhetong Liang, Wangmeng Xiang, Xi Yang, Lei Zhang |
| 2023 | A Complete Recipe for Diffusion Generative Models. Kushagra Pandey, Stephan Mandt |
| 2023 | A Dynamic Dual-Processing Object Detection Framework Inspired by the Brain's Recognition Mechanism. Minying Zhang, Tianpeng Bu, Lulu Hu |
| 2023 | A Fast Unified System for 3D Object Detection and Tracking. Thomas Heitzinger, Martin Kampel |
| 2023 | A Game of Bundle Adjustment - Learning Efficient Convergence. Amir Belder, Refael Vivanti, Ayellet Tal |
| 2023 | A Generalist Framework for Panoptic Segmentation of Images and Videos. Ting Chen, Lala Li, Saurabh Saxena, Geoffrey E. Hinton, David J. Fleet |
| 2023 | A Good Student is Cooperative and Reliable: CNN-Transformer Collaborative Learning for Semantic Segmentation. Jinjing Zhu, Yunhao Luo, Xu Zheng, Hao Wang, Lin Wang |
| 2023 | A Large-Scale Outdoor Multi-modal Dataset and Benchmark for Novel View Synthesis and Implicit Scene Reconstruction. Chongshan Lu, Fukun Yin, Xin Chen, Wen Liu, Tao Chen, Gang Yu, Jiayuan Fan |
| 2023 | A Large-scale Study of Spatiotemporal Representation Learning with a New Benchmark on Action Recognition. Andong Deng, Taojiannan Yang, Chen Chen |
| 2023 | A Latent Space of Stochastic Diffusion Models for Zero-Shot Image Editing and Guidance. Chen Henry Wu, Fernando De la Torre |
| 2023 | A Low-Shot Object Counting Network With Iterative Prototype Adaptation. Nikola Ðukic, Alan Lukezic, Vitjan Zavrtanik, Matej Kristan |
| 2023 | A Multidimensional Analysis of Social Biases in Vision Transformers. Jannik Brinkmann, Paul Swoboda, Christian Bartelt |
| 2023 | A Parse-Then-Place Approach for Generating Graphic Layouts from Textual Descriptions. Jiawei Lin, Jiaqi Guo, Shizhao Sun, Weijiang Xu, Ting Liu, Jian-Guang Lou, Dongmei Zhang |
| 2023 | A Retrospect to Multi-prompt Learning across Vision and Language. Ziliang Chen, Xin Huang, Quanlong Guan, Liang Lin, Weiqi Luo |
| 2023 | A Sentence Speaks a Thousand Images: Domain Generalization through Distilling CLIP with Language Guidance. Zeyi Huang, Andy Zhou, Zijian Lin, Mu Cai, Haohan Wang, Yong Jae Lee |
| 2023 | A Simple Framework for Open-Vocabulary Segmentation and Detection. Hao Zhang, Feng Li, Xueyan Zou, Shilong Liu, Chunyuan Li, Jianwei Yang, Lei Zhang |
| 2023 | A Simple Recipe to Meta-Learn Forward and Backward Transfer. Edoardo Cetin, Antonio Carta, Oya Çeliktutan |
| 2023 | A Simple Vision Transformer for Weakly Semi-supervised 3D Object Detection. Dingyuan Zhang, Dingkang Liang, Zhikang Zou, Jingyu Li, Xiaoqing Ye, Zhe Liu, Xiao Tan, Xiang Bai |
| 2023 | A Theory of Topological Derivatives for Inverse Rendering of Geometry. Ishit Mehta, Manmohan Chandraker, Ravi Ramamoorthi |
| 2023 | A Unified Continual Learning Framework with General Parameter-Efficient Tuning. Qiankun Gao, Chen Zhao, Yifan Sun, Teng Xi, Gang Zhang, Bernard Ghanem, Jian Zhang |
| 2023 | A Unified Framework for Robustness on Diverse Sampling Errors. Myeongho Jeon, Myungjoo Kang, Joonseok Lee |
| 2023 | A skeletonization algorithm for gradient-based optimization. Martin J. Menten, Johannes C. Paetzold, Veronika A. Zimmer, Suprosanna Shit, Ivan Ezhov, Robbie Holland, Monika Probst, Julia A. Schnabel, Daniel Rueckert |
| 2023 | A soft nearest-neighbor framework for continual semi-supervised learning. Zhiqi Kang, Enrico Fini, Moin Nabi, Elisa Ricci, Karteek Alahari |
| 2023 | A step towards understanding why classification helps regression. Silvia L. Pintea, Yancong Lin, Jouke Dijkstra, Jan C. van Gemert |
| 2023 | A-STAR: Test-time Attention Segregation and Retention for Text-to-image Synthesis. Aishwarya Agarwal, Srikrishna Karanam, K. J. Joseph, Apoorv Saxena, Koustava Goswami, Balaji Vasan Srinivasan |
| 2023 | A2Q: Accumulator-Aware Quantization with Guaranteed Overflow Avoidance. Ian Colbert, Alessandro Pappalardo, Jakoba Petri-Koenig |
| 2023 | ACLS: Adaptive and Conditional Label Smoothing for Network Calibration. Hyekang Park, Jongyoun Noh, Youngmin Oh, Donghyeon Baek, Bumsub Ham |
| 2023 | ACTIVE: Towards Highly Transferable 3D Physical Camouflage for Universal and Robust Vehicle Evasion. Naufal Suryanto, Yongsu Kim, Harashta Tatimma Larasati, Hyoeun Kang, Thi-Thu-Huong Le, Yoonyoung Hong, Hunmin Yang, Se-Yoon Oh, Howon Kim |
| 2023 | ADAPT: Efficient Multi-Agent Trajectory Prediction with Adaptation. Görkay Aydemir, Adil Kaan Akan, Fatma Güney |
| 2023 | ADNet: Lane Shape Prediction via Anchor Decomposition. Lingyu Xiao, Xiang Li, Sen Yang, Wankou Yang |
| 2023 | AG3D: Learning to Generate 3D Avatars from 2D Image Collections. Zijian Dong, Xu Chen, Jinlong Yang, Michael J. Black, Otmar Hilliges, Andreas Geiger |
| 2023 | AGG-Net: Attention Guided Gated-convolutional Network for Depth Image Completion. Dongyue Chen, Tingxuan Huang, Zhimin Song, Shizhuo Deng, Tong Jia |
| 2023 | AIDE: A Vision-Driven Multi-View, Multi-Modal, Multi-Tasking Dataset for Assistive Driving Perception. Dingkang Yang, Shuai Huang, Zhi Xu, Zhenpeng Li, Shunli Wang, Mingcheng Li, Yuzheng Wang, Yang Liu, Kun Yang, Zhaoyu Chen, Yan Wang, Jing Liu, Peixuan Zhang, Peng Zhai, Lihua Zhang |
| 2023 | ALIP: Adaptive Language-Image Pre-training with Synthetic Caption. Kaicheng Yang, Jiankang Deng, Xiang An, Jiawei Li, Ziyong Feng, Jia Guo, Jing Yang, Tongliang Liu |
| 2023 | ALWOD: Active Learning for Weakly-Supervised Object Detection. Yuting Wang, Velibor Ilic, Jiatong Li, Branislav Kisacanin, Vladimir Pavlovic |
| 2023 | AREA: Adaptive Reweighting via Effective Area for Long-Tailed Classification. Xiaohua Chen, Yucan Zhou, Dayan Wu, Chule Yang, Bo Li, Qinghua Hu, Weiping Wang |
| 2023 | ARNOLD: A Benchmark for Language-Grounded Task Learning With Continuous States in Realistic 3D Scenes. Ran Gong, Jiangyong Huang, Yizhou Zhao, Haoran Geng, Xiaofeng Gao, Qingyang Wu, Wensi Ai, Ziheng Zhou, Demetri Terzopoulos, Song-Chun Zhu, Baoxiong Jia, Siyuan Huang |
| 2023 | ASAG: Building Strong One-Decoder-Layer Sparse Detectors via Adaptive Sparse Anchor Generation. Shenghao Fu, Junkai Yan, Yipeng Gao, Xiaohua Xie, Wei-Shi Zheng |
| 2023 | ASIC: Aligning Sparse in-the-wild Image Collections. Kamal Gupta, Varun Jampani, Carlos Esteves, Abhinav Shrivastava, Ameesh Makadia, Noah Snavely, Abhishek Kar |
| 2023 | ASM: Adaptive Skinning Model for High-Quality 3D Face Modeling. Kai Yang, Hong Shang, Tianyang Shi, Xinghan Chen, Jingkai Zhou, Zhongqian Sun, Wei Yang |
| 2023 | ATT3D: Amortized Text-to-3D Object Synthesis. Jonathan Lorraine, Kevin Xie, Xiaohui Zeng, Chen-Hsuan Lin, Towaki Takikawa, Nicholas Sharp, Tsung-Yi Lin, Ming-Yu Liu, Sanja Fidler, James Lucas |
| 2023 | Ablating Concepts in Text-to-Image Diffusion Models. Nupur Kumari, Bingliang Zhang, Sheng-Yu Wang, Eli Shechtman, Richard Zhang, Jun-Yan Zhu |
| 2023 | AccFlow: Backward Accumulation for Long-Range Optical Flow. Guangyang Wu, Xiaohong Liu, Kunming Luo, Xi Liu, Qingqing Zheng, Shuaicheng Liu, Xinyang Jiang, Guangtao Zhai, Wenyi Wang |
| 2023 | Accurate 3D Face Reconstruction with Facial Component Tokens. Tianke Zhang, Xuangeng Chu, Yunfei Liu, Lijian Lin, Zhendong Yang, Zhengzhuo Xu, Chengkun Cao, Fei Yu, Changyin Zhou, Chun Yuan, Yu Li |
| 2023 | Accurate and Fast Compressed Video Captioning. Yaojie Shen, Xin Gu, Kai Xu, Heng Fan, Longyin Wen, Libo Zhang |
| 2023 | Achievement-based Training Progress Balancing for Multi-Task Learning. Hayoung Yun, Hanjoo Cho |
| 2023 | ActFormer: A GAN-based Transformer towards General Action-Conditioned 3D Human Motion Generation. Liang Xu, Ziyang Song, Dongliang Wang, Jing Su, Zhicheng Fang, Chenjing Ding, Weihao Gan, Yichao Yan, Xin Jin, Xiaokang Yang, Wenjun Zeng, Wei Wu |
| 2023 | Action Sensitivity Learning for Temporal Action Localization. Jiayi Shao, Xiaohan Wang, Ruijie Quan, Junjun Zheng, Jiang Yang, Yi Yang |
| 2023 | Activate and Reject: Towards Safe Domain Generalization under Category Shift. Chaoqi Chen, Luyao Tang, Leitian Tao, Hong-Yu Zhou, Yue Huang, Xiaoguang Han, Yizhou Yu |
| 2023 | Active Neural Mapping. Zike Yan, Haoxiang Yang, Hongbin Zha |
| 2023 | Active Self-Supervised Learning: A Few Low-Cost Relationships Are All You Need. Vivien Cabannes, Léon Bottou, Yann LeCun, Randall Balestriero |
| 2023 | Active Stereo Without Pattern Projector. Luca Bartolomei, Matteo Poggi, Fabio Tosi, Andrea Conti, Stefano Mattoccia |
| 2023 | ActorsNeRF: Animatable Few-shot Human Rendering with Generalizable NeRFs. Jiteng Mu, Shen Sang, Nuno Vasconcelos, Xiaolong Wang |
| 2023 | AdVerb: Visually Guided Audio Dereverberation. Sanjoy Chowdhury, Sreyan Ghosh, Subhrajyoti Dasgupta, Anton Ratnarajah, Utkarsh Tyagi, Dinesh Manocha |
| 2023 | Ada3D : Exploiting the Spatial Redundancy with Adaptive Inference for Efficient 3D Object Detection. Tianchen Zhao, Xuefei Ning, Ke Hong, Zhongyuan Qiu, Pu Lu, Yali Zhao, Linfeng Zhang, Lipu Zhou, Guohao Dai, Huazhong Yang, Yu Wang |
| 2023 | AdaMV-MoE: Adaptive Multi-Task Vision Mixture-of-Experts. Tianlong Chen, Xuxi Chen, Xianzhi Du, Abdullah Rashwan, Fan Yang, Huizhong Chen, Zhangyang Wang, Yeqing Li |
| 2023 | AdaNIC: Towards Practical Neural Image Compression via Dynamic Transform Routing. Lvfang Tao, Wei Gao, Ge Li, Chenhao Zhang |
| 2023 | Adaptive Calibrator Ensemble: Navigating Test Set Difficulty in Out-of-Distribution Scenarios. Yuli Zou, Weijian Deng, Liang Zheng |
| 2023 | Adaptive Frequency Filters As Efficient Global Token Mixers. Zhipeng Huang, Zhizheng Zhang, Cuiling Lan, Zheng-Jun Zha, Yan Lu, Baining Guo |
| 2023 | Adaptive Illumination Mapping for Shadow Detection in Raw Images. Jiayu Sun, Ke Xu, Youwei Pang, Lihe Zhang, Huchuan Lu, Gerhard P. Hancke, Rynson W. H. Lau |
| 2023 | Adaptive Image Anonymization in the Context of Image Classification with Neural Networks. Nadiya Shvai, Arcadi Llanza Carmona, Amir Nakib |
| 2023 | Adaptive Nonlinear Latent Transformation for Conditional Face Editing. Zhizhong Huang, Siteng Ma, Junping Zhang, Hongming Shan |
| 2023 | Adaptive Positional Encoding for Bundle-Adjusting Neural Radiance Fields. Zelin Gao, Weichen Dai, Yu Zhang |
| 2023 | Adaptive Reordering Sampler with Neurally Guided MAGSAC. Tong Wei, Jirí Matas, Daniel Barath |
| 2023 | Adaptive Rotated Convolution for Rotated Object Detection. Yifan Pu, Yiru Wang, Zhuofan Xia, Yizeng Han, Yulin Wang, Weihao Gan, Zidong Wang, Shiji Song, Gao Huang |
| 2023 | Adaptive Similarity Bootstrapping for Self-Distillation based Representation Learning. Tim Lebailly, Thomas Stegmüller, Behzad Bozorgtabar, Jean-Philippe Thiran, Tinne Tuytelaars |
| 2023 | Adaptive Spiral Layers for Efficient 3D Representation Learning on Meshes. Francesca Babiloni, Matteo Maggioni, Thomas Tanay, Jiankang Deng, Ales Leonardis, Stefanos Zafeiriou |
| 2023 | Adaptive Superpixel for Active Learning in Semantic Segmentation. Hoyoung Kim, Minhyeon Oh, Sehyun Hwang, Suha Kwak, Jungseul Ok |
| 2023 | Adaptive Template Transformer for Mitochondria Segmentation in Electron Microscopy Images. Yuwen Pan, Naisong Luo, Rui Sun, Meng Meng, Tianzhu Zhang, Zhiwei Xiong, Yongdong Zhang |
| 2023 | Adaptive Testing of Computer Vision Models. Irena Gao, Gabriel Ilharco, Scott M. Lundberg, Marco Túlio Ribeiro |
| 2023 | Adaptive and Background-Aware Vision Transformer for Real-Time UAV Tracking. Shuiwang Li, Yangxiang Yang, Dan Zeng, Xucheng Wang |
| 2023 | Adding Conditional Control to Text-to-Image Diffusion Models. Lvmin Zhang, Anyi Rao, Maneesh Agrawala |
| 2023 | AdvDiffuser: Natural Adversarial Example Synthesis with Diffusion Models. Xinquan Chen, Xitong Gao, Juanjuan Zhao, Kejiang Ye, Cheng-Zhong Xu |
| 2023 | Advancing Example Exploitation Can Alleviate Critical Challenges in Adversarial Training. Yao Ge, Yun Li, Keji Han, Junyi Zhu, Xianzhong Long |
| 2023 | Advancing Referring Expression Segmentation Beyond Single Image. Yixuan Wu, Zhao Zhang, Chi Xie, Feng Zhu, Rui Zhao |
| 2023 | Adversarial Bayesian Augmentation for Single-Source Domain Generalization. Sheng Cheng, Tejas Gokhale, Yezhou Yang |
| 2023 | Adversarial Finetuning with Latent Representation Constraint to Mitigate Accuracy-Robustness Tradeoff. Satoshi Suzuki, Shin'ya Yamaguchi, Shoichiro Takeda, Sekitoshi Kanai, Naoki Makishima, Atsushi Ando, Ryo Masumura |
| 2023 | Adverse Weather Removal with Codebook Priors. Tian Ye, Sixiang Chen, Jinbin Bai, Jun Shi, Chenghao Xue, Jingxia Jiang, Junjie Yin, Erkang Chen, Yun Liu |
| 2023 | AerialVLN: Vision-and-Language Navigation for UAVs. Shubo Liu, Hongsheng Zhang, Yuankai Qi, Peng Wang, Yanning Zhang, Qi Wu |
| 2023 | AesPA-Net: Aesthetic Pattern-Aware Style Transfer Networks. Kibeom Hong, Seogkyu Jeon, Junsoo Lee, Namhyuk Ahn, Kunhee Kim, Pilhyeon Lee, Daesik Kim, Youngjung Uh, Hyeran Byun |
| 2023 | Affective Image Filter: Reflecting Emotions from Text to Images. Shuchen Weng, Peixuan Zhang, Zheng Chang, Xinlong Wang, Si Li, Boxin Shi |
| 2023 | Affine-Consistent Transformer for Multi-Class Cell Nuclei Detection. Junjia Huang, Haofeng Li, Xiang Wan, Guanbin Li |
| 2023 | AffordPose: A Large-scale Dataset of Hand-Object Interactions with Affordance-driven Hand Pose. Juntao Jian, Xiuping Liu, Manyi Li, Ruizhen Hu, Jian Liu |
| 2023 | Agglomerative Transformer for Human-Object Interaction Detection. Danyang Tu, Wei Sun, Guangtao Zhai, Wei Shen |
| 2023 | Aggregating Feature Point Cloud for Depth Completion. Zhu Yu, Zehua Sheng, Zili Zhou, Lun Luo, Si-Yuan Cao, Hong Gu, Huaqi Zhang, Hui-Liang Shen |
| 2023 | Agile Modeling: From Concept to Classifier in Minutes. Otilia Stretcu, Edward Vendrow, Kenji Hata, Krishnamurthy Viswanathan, Vittorio Ferrari, Sasan Tavakkol, Wenlei Zhou, Aditya Avinash, Enming Luo, Neil Gordon Alldrin, MohammadHossein Bateni, Gabriel Berger, Andrew Bunner, Chun-Ta Lu, Javier A Rey, Giulia DeSalvo, Ranjay Krishna, Ariel Fuxman |
| 2023 | Algebraically rigorous quaternion framework for the neural network pose estimation problem. Chen Lin, Andrew J. Hanson, Sonya M. Hanson |
| 2023 | AlignDet: Aligning Pre-training and Fine-tuning in Object Detection. Ming Li, Jie Wu, Xionghui Wang, Chen Chen, Jie Qin, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan |
| 2023 | Alignment Before Aggregation: Trajectory Memory Retrieval Network for Video Object Segmentation. Rui Sun, Yuan Wang, Huayu Mai, Tianzhu Zhang, Feng Wu |
| 2023 | Alignment-free HDR Deghosting with Semantics Consistent Transformer. Steven Tel, Zongwei Wu, Yulun Zhang, Barthélémy Heyrman, Cédric Demonceaux, Radu Timofte, Dominique Ginhac |
| 2023 | All in Tokens: Unifying Output Space of Visual Tasks via Soft Token. Jia Ning, Chen Li, Zheng Zhang, Chunyu Wang, Zigang Geng, Qi Dai, Kun He, Han Hu |
| 2023 | All-to-key Attention for Arbitrary Style Transfer. Mingrui Zhu, Xiao He, Nannan Wang, Xiaoyu Wang, Xinbo Gao |
| 2023 | All4One: Symbiotic Neighbour Contrastive Learning via Self-Attention and Redundancy Reduction. Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva |
| 2023 | Alleviating Catastrophic Forgetting of Incremental Object Detection via Within-Class and Between-Class Knowledge Distillation. Mengxue Kang, Jinpeng Zhang, Jinming Zhang, Xiashuang Wang, Yang Chen, Zhe Ma, Xuhui Huang |
| 2023 | Among Us: Adversarially Robust Collaborative Perception by Consensus. Yiming Li, Qi Fang, Jiamu Bai, Siheng Chen, Felix Juefei-Xu, Chen Feng |
| 2023 | An Adaptive Model Ensemble Adversarial Attack for Boosting Adversarial Transferability. Bin Chen, Jia-Li Yin, Shukai Chen, Bohao Chen, Ximeng Liu |
| 2023 | An Embarrassingly Simple Backdoor Attack on Self-supervised Learning. Changjiang Li, Ren Pang, Zhaohan Xi, Tianyu Du, Shouling Ji, Yuan Yao, Ting Wang |
| 2023 | Anatomical Invariance Modeling and Semantic Alignment for Self-supervised Learning in 3D Medical Image Analysis. Yankai Jiang, Mingze Sun, Heng Guo, Xiaoyu Bai, Ke Yan, Le Lu, Minfeng Xu |
| 2023 | Anchor Structure Regularization Induced Multi-view Subspace Clustering via Enhanced Tensor Rank Minimization. Jintian Ji, Songhe Feng |
| 2023 | Anchor-Intermediate Detector: Decoupling and Coupling Bounding Boxes for Accurate Object Detection. Yilong Lv, Min Li, Yujie He, Zhuzhen He, Shaopeng Li, Aitao Yang |
| 2023 | Animal3D: A Comprehensive Dataset of 3D Animal Pose and Shape. Jiacong Xu, Yi Zhang, Jiawei Peng, Wufei Ma, Artur Jesslen, Pengliang Ji, Qixin Hu, Jiehua Zhang, Qihao Liu, Jiahao Wang, Wei Ji, Chen Wang, Xiaoding Yuan, Prakhar Kaushik, Guofeng Zhang, Jie Liu, Yushan Xie, Yawen Cui, Alan L. Yuille, Adam Kortylewski |
| 2023 | Anomaly Detection under Distribution Shift. Tri Cao, Jiawen Zhu, Guansong Pang |
| 2023 | Anomaly Detection using Score-based Perturbation Resilience. Woosang Shin, Jonghyeon Lee, Taehan Lee, Sangmoon Lee, Jong Pil Yun |
| 2023 | Anti-DreamBooth: Protecting users from personalized text-to-image synthesis. Thanh Van Le, Hao Phung, Thuan Hoang Nguyen, Quan Dao, Ngoc N. Tran, Anh Tuan Tran |
| 2023 | Aperture Diffraction for Compact Snapshot Spectral Imaging. Tao Lv, Hao Ye, Quan Yuan, Zhan Shi, Yibo Wang, Shuming Wang, Xun Cao |
| 2023 | Aria Digital Twin: A New Benchmark Dataset for Egocentric 3D Machine Perception. Xiaqing Pan, Nicholas Charron, Yongqian Yang, Scott Peters, Thomas Whelan, Chen Kong, Omkar M. Parkhi, Richard A. Newcombe, Carl Yuheng Ren |
| 2023 | AssetField: Assets Mining and Reconfiguration in Ground Feature Plane Representation. Yuanbo Xiangli, Linning Xu, Xingang Pan, Nanxuan Zhao, Bo Dai, Dahua Lin |
| 2023 | Atmospheric Transmission and Thermal Inertia Induced Blind Road Segmentation with a Large-Scale Dataset TBRSD. Junzhang Chen, Xiangzhi Bai |
| 2023 | AttT2M: Text-Driven Human Motion Generation with Multi-Perspective Attention Mechanism. Chongyang Zhong, Lei Hu, Zihao Zhang, Shihong Xia |
| 2023 | Attention Discriminant Sampling for Point Clouds. Cheng-Yao Hong, Yu-Ying Chou, Tyng-Luh Liu |
| 2023 | Attention Where It Matters: Rethinking Visual Document Understanding with Selective Region Concentration. Haoyu Cao, Changcun Bao, Chaohu Liu, Huang Chen, Kun Yin, Hao Liu, Yinsong Liu, Deqiang Jiang, Xing Sun |
| 2023 | Attentive Mask CLIP. Yifan Yang, Weiquan Huang, Yixuan Wei, Houwen Peng, Xinyang Jiang, Huiqiang Jiang, Fangyun Wei, Yin Wang, Han Hu, Lili Qiu, Yuqing Yang |
| 2023 | Audio-Enhanced Text-to-Video Retrieval using Text-Conditioned Feature Alignment. Sarah Ibrahimi, Xiaohang Sun, Pichao Wang, Amanmeet Garg, Ashutosh Sanan, Mohamed Omar |
| 2023 | Audio-Visual Class-Incremental Learning. Weiguo Pian, Shentong Mo, Yunhui Guo, Yapeng Tian |
| 2023 | Audio-Visual Deception Detection: DOLOS Dataset and Parameter-Efficient Crossmodal Learning. Xiaobao Guo, Nithish Muthuchamy Selvaraj, Zitong Yu, Adams Wai-Kin Kong, Bingquan Shen, Alex C. Kot |
| 2023 | Audio-Visual Glance Network for Efficient Video Recognition. Muhammad Adi Nugroho, Sangmin Woo, Sumin Lee, Changick Kim |
| 2023 | Audiovisual Masked Autoencoders. Mariana-Iuliana Georgescu, Eduardo Fonseca, Radu Tudor Ionescu, Mario Lucic, Cordelia Schmid, Anurag Arnab |
| 2023 | Augmented Box Replay: Overcoming Foreground Shift for Incremental Object Detection. Yuyang Liu, Yang Cong, Dipam Goswami, Xialei Liu, Joost van de Weijer |
| 2023 | Augmenting and Aligning Snippets for Few-Shot Video Domain Adaptation. Yuecong Xu, Jianfei Yang, Yunjiao Zhou, Zhenghua Chen, Min Wu, Xiaoli Li |
| 2023 | AutoAD II: The Sequel - Who, When, and What in Movie Audio Description. Tengda Han, Max Bain, Arsha Nagrani, Gül Varol, Weidi Xie, Andrew Zisserman |
| 2023 | AutoDiffusion: Training-Free Optimization of Time Steps and Architectures for Automated Diffusion Model Acceleration. Lijiang Li, Huixia Li, Xiawu Zheng, Jie Wu, Xuefeng Xiao, Rui Wang, Min Zheng, Xin Pan, Fei Chao, Rongrong Ji |
| 2023 | AutoReP: Automatic ReLU Replacement for Fast Private Network Inference. Hongwu Peng, Shaoyi Huang, Tong Zhou, Yukui Luo, Chenghong Wang, Zigeng Wang, Jiahui Zhao, Xi Xie, Ang Li, Tony Geng, Kaleel Mahmood, Wujie Wen, Xiaolin Xu, Caiwen Ding |
| 2023 | AutoSynth: Learning to Generate 3D Training Data for Object Point Cloud Registration. Zheng Dang, Mathieu Salzmann |
| 2023 | Automated Knowledge Distillation via Monte Carlo Tree Search. Lujun Li, Peijie Dong, Zimian Wei, Ya Yang |
| 2023 | Automatic Animation of Hair Blowing in Still Portrait Photos. Wenpeng Xiao, Wentao Liu, Yitong Wang, Bernard Ghanem, Bing Li |
| 2023 | Automatic Network Pruning via Hilbert-Schmidt Independence Criterion Lasso under Information Bottleneck Principle. Song Guo, Lei Zhang, Xiawu Zheng, Yan Wang, Yuchao Li, Fei Chao, Chenglin Wu, Shengchuan Zhang, Rongrong Ji |
| 2023 | Auxiliary Tasks Benefit 3D Skeleton-based Human Motion Prediction. Chenxin Xu, Robby T. Tan, Yuhong Tan, Siheng Chen, Xinchao Wang, Yanfeng Wang |
| 2023 | AvatarCraft: Transforming Text into Neural Human Avatars with Parameterized Shape and Pose Control. Ruixiang Jiang, Can Wang, Jingbo Zhang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao |
| 2023 | BANSAC: A dynamic BAyesian Network for adaptive SAmple Consensus. Valter Piedade, Pedro Miraldo |
| 2023 | BEV-DG: Cross-Modal Learning under Bird's-Eye View for Domain Generalization of 3D Semantic Segmentation. Miaoyu Li, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu |
| 2023 | BEVPlace: Learning LiDAR-based Place Recognition using Bird's Eye View Images. Lun Luo, Shuhang Zheng, Yixuan Li, Yongzhi Fan, Beinan Yu, Si-Yuan Cao, Junwei Li, Hui-Liang Shen |
| 2023 | BT Yifei Zhou, Zilu Li, Abhinav Shrivastava, Hengshuang Zhao, Antonio Torralba, Tai-Peng Tian, Ser-Nam Lim |
| 2023 | BUS : Efficient and Effective Vision-language Pre-training with Bottom-Up Patch Summarization. Chaoya Jiang, Haiyang Xu, Wei Ye, Qinghao Ye, Chenliang Li, Ming Yan, Bin Bi, Shikun Zhang, Fei Huang, Songfang Huang |
| 2023 | BaRe-ESA: A Riemannian Framework for Unregistered Human Body Shapes. Emmanuel Hartman, Emery Pierson, Martin Bauer, Nicolas Charon, Mohamed Daoudi |
| 2023 | Backpropagation Path Search On Adversarial Transferability. Zhuoer Xu, Zhangxuan Gu, Jianping Zhang, Shiwen Cui, Changhua Meng, Weiqiang Wang |
| 2023 | BallGAN: 3D-aware Image Synthesis with a Spherical Background. Minjung Shin, Yunji Seo, Jeongmin Bae, Young Sun Choi, Hyunsu Kim, Hyeran Byun, Youngjung Uh |
| 2023 | Batch-based Model Registration for Fast 3D Sherd Reconstruction. Jiepeng Wang, Congyi Zhang, Peng Wang, Xin Li, Peter J. Cobb, Christian Theobalt, Wenping Wang |
| 2023 | Bayesian Optimization Meets Self-Distillation. HyunJae Lee, Heon Song, Hyeonsoo Lee, Gihyeon Lee, Suyeong Park, Donggeun Yoo |
| 2023 | Bayesian Prompt Learning for Image-Language Model Generalization. Mohammad Mahdi Derakhshani, Enrique Sanchez, Adrian Bulat, Victor Guilherme Turrisi da Costa, Cees G. M. Snoek, Georgios Tzimiropoulos, Brais Martínez |
| 2023 | Be Everywhere - Hear Everything (BEE): Audio Scene Reconstruction by Sparse Audio-Visual Samples. Mingfei Chen, Kun Su, Eli Shlizerman |
| 2023 | BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction. Germán Barquero, Sergio Escalera, Cristina Palmero |
| 2023 | Beating Backdoor Attack at Its Own Game. Min Liu, Alberto L. Sangiovanni-Vincentelli, Xiangyu Yue |
| 2023 | Benchmarking Algorithmic Bias in Face Recognition: An Experimental Approach Using Synthetic Faces and Human Evaluation. Hao Liang, Pietro Perona, Guha Balakrishnan |
| 2023 | Benchmarking Low-Shot Robustness to Natural Distribution Shifts. Aaditya Singh, Kartik Sarangmath, Prithvijit Chattopadhyay, Judy Hoffman |
| 2023 | Benchmarking and Analyzing Robust Point Cloud Recognition: Bag of Tricks for Defending Adversarial Examples. Qiufan Ji, Lin Wang, Cong Shi, Shengshan Hu, Yingying Chen, Lichao Sun |
| 2023 | Betrayed by Captions: Joint Caption Grounding and Generation for Open Vocabulary Instance Segmentation. Jianzong Wu, Xiangtai Li, Henghui Ding, Xia Li, Guangliang Cheng, Yunhai Tong, Chen Change Loy |
| 2023 | Better May Not Be Fairer: A Study on Subgroup Discrepancy in Image Classification. Ming-Chang Chiu, Pin-Yu Chen, Xuezhe Ma |
| 2023 | Beyond Image Borders: Learning Feature Extrapolation for Unbounded Image Composition. Xiaoyu Liu, Ming Liu, Junyi Li, Shuai Liu, Xiaotao Wang, Lei Lei, Wangmeng Zuo |
| 2023 | Beyond Object Recognition: A New Benchmark towards Object Concept Learning. Yonglu Li, Yue Xu, Xinyu Xu, Xiaohan Mao, Yuan Yao, Siqi Liu, Cewu Lu |
| 2023 | Beyond One-to-One: Rethinking the Referring Image Segmentation. Yutao Hu, Qixiong Wang, Wenqi Shao, Enze Xie, Zhenguo Li, Jungong Han, Ping Luo |
| 2023 | Beyond Single Path Integrated Gradients for Reliable Input Attribution via Randomized Path Sampling. Giyoung Jeon, Haedong Jeong, Jaesik Choi |
| 2023 | Beyond Skin Tone: A Multidimensional Measure of Apparent Skin Color. William Thong, Przemyslaw Joniak, Alice Xiang |
| 2023 | Beyond the Pixel: a Photometrically Calibrated HDR Dataset for Luminance and Color Prediction. Christophe Bolduc, Justine Giroux, Marc Hébert, Claude Demers, Jean-François Lalonde |
| 2023 | Beyond the limitation of monocular 3D detector via knowledge distillation. Yiran Yang, Dongshuo Yin, Xuee Rong, Xian Sun, Wenhui Diao, Xinming Li |
| 2023 | BiFF: Bi-level Future Fusion with Polyline-based Coordinate for Interactive Trajectory Prediction. Yiyao Zhu, Di Luan, Shaojie Shen |
| 2023 | BiViT: Extremely Compressed Binary Vision Transformers. Yefei He, Zhenyu Lou, Luoming Zhang, Jing Liu, Weijia Wu, Hong Zhou, Bohan Zhuang |
| 2023 | Bidirectional Alignment for Domain Adaptive Detection with Transformers. Liqiang He, Wei Wang, Albert Chen, Min Sun, Cheng-Hao Kuo, Sinisa Todorovic |
| 2023 | Bidirectionally Deformable Motion Modulation For Video-based Human Pose Transfer. Wing Yin Yu, Lai-Man Po, Ray C. C. Cheung, Yuzhi Zhao, Yu Xue, Kun Li |
| 2023 | Bird's-Eye-View Scene Graph for Vision-Language Navigation. Rui Liu, Xiaohan Wang, Wenguan Wang, Yi Yang |
| 2023 | Black Box Few-Shot Adaptation for Vision-Language models. Yassine Ouali, Adrian Bulat, Brais Martínez, Georgios Tzimiropoulos |
| 2023 | Black-box Unsupervised Domain Adaptation with Bi-directional Atkinson-Shiffrin Memory. Jingyi Zhang, Jiaxing Huang, Xueying Jiang, Shijian Lu |
| 2023 | BlendFace: Re-designing Identity Encoders for Face-Swapping. Kaede Shiohara, Xingchao Yang, Takafumi Taketomi |
| 2023 | Blending-NeRF: Text-Driven Localized Editing in Neural Radiance Fields. Hyeonseop Song, Seokhun Choi, Hoseok Do, Chul Lee, TaeHyeong Kim |
| 2023 | BlindHarmony: "Blind" Harmonization for MR Images via Flow model. Hwihun Jeong, Heejoon Byun, Dong Un Kang, Jongho Lee |
| 2023 | BoMD: Bag of Multi-label Descriptors for Noisy Chest X-ray Classification. Yuanhong Chen, Fengbei Liu, Hu Wang, Chong Wang, Yuyuan Liu, Yu Tian, Gustavo Carneiro |
| 2023 | Body Knowledge and Uncertainty Modeling for Monocular 3D Human Body Reconstruction. Yufei Zhang, Hanjing Wang, Jeffrey O. Kephart, Qiang Ji |
| 2023 | Bold but Cautious: Unlocking the Potential of Personalized Federated Learning through Cautiously Aggressive Collaboration. Xinghao Wu, Xuefeng Liu, Jianwei Niu, Guogang Zhu, Shaojie Tang |
| 2023 | Boosting 3-DoF Ground-to-Satellite Camera Localization Accuracy via Geometry-Guided Cross-View Transformer. Yujiao Shi, Fei Wu, Akhil Perincherry, Ankit Vora, Hongdong Li |
| 2023 | Boosting Adversarial Transferability via Gradient Relevance Attack. Hegui Zhu, Yuchen Ren, Xiaoyan Sui, Lianping Yang, Wuming Jiang |
| 2023 | Boosting Few-shot Action Recognition with Graph-guided Hybrid Matching. Jiazheng Xing, Mengmeng Wang, Yudi Ruan, Bofan Chen, Yaowei Guo, Boyu Mu, Guang Dai, Jingdong Wang, Yong Liu |
| 2023 | Boosting Long-tailed Object Detection via Step-wise Learning on Smooth-tail Data. Na Dong, Yongqiang Zhang, Mingli Ding, Gim Hee Lee |
| 2023 | Boosting Multi-modal Model Performance with Adaptive Gradient Modulation. Hong Li, Xingyu Li, Pengbo Hu, Yinuo Lei, Chunxiao Li, Yi Zhou |
| 2023 | Boosting Novel Category Discovery Over Domains with Soft Contrastive Learning and All in One Classifier. Zelin Zang, Lei Shang, Senqiao Yang, Fei Wang, Baigui Sun, Xuansong Xie, Stan Z. Li |
| 2023 | Boosting Positive Segments for Weakly-Supervised Audio-Visual Video Parsing. Kranthi Kumar Rachavarapu, A. N. Rajagopalan |
| 2023 | Boosting Semantic Segmentation from the Perspective of Explicit Class Embeddings. Yuhe Liu, Chuanjian Liu, Kai Han, Quan Tang, Zengchang Qin |
| 2023 | Boosting Single Image Super-Resolution via Partial Channel Shifting. Xiaoming Zhang, Tianrui Li, Xiaole Zhao |
| 2023 | Boosting Whole Slide Image Classification from the Perspectives of Distribution, Correlation and Magnification. Linhao Qu, Zhiwei Yang, Minghong Duan, Yingfan Ma, Shuo Wang, Manning Wang, Zhijian Song |
| 2023 | Bootstrap Motion Forecasting With Self-Consistent Constraints. Maosheng Ye, Jiamiao Xu, Xunnong Xu, Tengfei Wang, Tongyi Cao, Qifeng Chen |
| 2023 | Borrowing Knowledge From Pre-trained Language Model: A New Data-efficient Visual Learning Paradigm. Wenxuan Ma, Shuang Li, Jinming Zhang, Chi Harold Liu, Jingxuan Kang, Yulin Wang, Gao Huang |
| 2023 | Both Diverse and Realism Matter: Physical Attribute and Style Alignment for Rainy Image Generation. Changfeng Yu, Shiming Chen, Yi Chang, Yibing Song, Luxin Yan |
| 2023 | Boundary-Aware Divide and Conquer: A Diffusion-based Solution for Unsupervised Shadow Removal. Lanqing Guo, Chong Wang, Wenhan Yang, Yufei Wang, Bihan Wen |
| 2023 | Box-based Refinement for Weakly Supervised and Unsupervised Localization Tasks. Eyal Gomel, Tal Shaharabany, Lior Wolf |
| 2023 | BoxDiff: Text-to-Image Synthesis with Training-Free Box-Constrained Diffusion. Jinheng Xie, Yuexiang Li, Yawen Huang, Haozhe Liu, Wentian Zhang, Yefeng Zheng, Mike Zheng Shou |
| 2023 | BoxSnake: Polygonal Instance Segmentation with Box Supervision. Rui Yang, Lin Song, Yixiao Ge, Xiu Li |
| 2023 | Breaking Common Sense: WHOOPS! A Vision-and-Language Benchmark of Synthetic and Compositional Images. Nitzan Bitton Guetta, Yonatan Bitton, Jack Hessel, Ludwig Schmidt, Yuval Elovici, Gabriel Stanovsky, Roy Schwartz |
| 2023 | Breaking Temporal Consistency: Generating Video Universal Adversarial Perturbations Using Image Models. Hee-Seon Kim, Minji Son, Minbeom Kim, Myung-Joon Kwon, Changick Kim |
| 2023 | Breaking The Limits of Text-conditioned 3D Motion Synthesis with Elaborative Descriptions. Yijun Qian, Jack Urbanek, Alexander G. Hauptmann, Jungdam Won |
| 2023 | Bridging Cross-task Protocol Inconsistency for Distillation in Dense Object Detection. Longrong Yang, Xianpan Zhou, Xuewei Li, Liang Qiao, Zheyang Li, Ziwei Yang, Gaoang Wang, Xi Li |
| 2023 | Bridging Vision and Language Encoders: Parameter-Efficient Tuning for Referring Image Segmentation. Zunnan Xu, Zhihong Chen, Yong Zhang, Yibing Song, Xiang Wan, Guanbin Li |
| 2023 | Bring Clipart to Life. Nanxuan Zhao, Shengqi Dang, Hexun Lin, Yang Shi, Nan Cao |
| 2023 | Building Bridge Across the Time: Disruption and Restoration of Murals In the Wild. Huiyang Shao, Qianqian Xu, Peisong Wen, Peifeng Gao, Zhiyong Yang, Qingming Huang |
| 2023 | Building Vision Transformers with Hierarchy Aware Feature Aggregation. Yongjie Chen, Hongmin Liu, Haoran Yin, Bin Fan |
| 2023 | Building a Winning Team: Selecting Source Model Ensembles using a Submodular Transferability Estimation Approach. Vimal K. B., Saketh Bachu, Tanmay Garg, Niveditha Lakshmi Narasimhan, Raghavan Konuru, Vineeth N. Balasubramanian |
| 2023 | Building3D: An Urban-Scale Dataset and Benchmarks for Learning Roof Structures from Point Clouds. Ruisheng Wang, Shangfeng Huang, Hongxin Yang |
| 2023 | C Huaiwen Zhang, Zihang Guo, Yang Yang, Xin Liu, De Hu |
| 2023 | C2F2NeUS: Cascade Cost Frustum Fusion for High Fidelity and Generalizable Neural Surface Reconstruction. Luoyuan Xu, Tao Guan, Yuesong Wang, Wenkai Liu, Zhaojie Zeng, Junle Wang, Wei Yang |
| 2023 | CAD-Estate: Large-scale CAD Model Annotation in RGB Videos. Kevis-Kokitsi Maninis, Stefan Popov, Matthias Nießner, Vittorio Ferrari |
| 2023 | CAFA: Class-Aware Feature Alignment for Test-Time Adaptation. Sanghun Jung, Jungsoo Lee, Nanhee Kim, Amirreza Shaban, Byron Boots, Jaegul Choo |
| 2023 | CAME: Contrastive Automated Model Evaluation. Ru Peng, Qiuyang Duan, Haobo Wang, Jiachen Ma, Yanbo Jiang, Yongjun Tu, Xiu Jiang, Junbo Zhao |
| 2023 | CASSPR: Cross Attention Single Scan Place Recognition. Yan Xia, Mariia Gladkova, Rui Wang, Qianyun Li, Uwe Stilla, João F. Henriques, Daniel Cremers |
| 2023 | CBA: Improving Online Continual Learning via Continual Bias Adaptor. Quanziang Wang, Renzhen Wang, Yichen Wu, Xixi Jia, Deyu Meng |
| 2023 | CC3D: Layout-Conditioned Generation of Compositional 3D Scenes. Sherwin Bahmani, Jeong Joon Park, Despoina Paschalidou, Xingguang Yan, Gordon Wetzstein, Leonidas J. Guibas, Andrea Tagliasacchi |
| 2023 | CDAC: Cross-domain Attention Consistency in Transformer for Domain Adaptive Semantic Segmentation. Kaihong Wang, Donghyun Kim, Rogério Feris, Margrit Betke |
| 2023 | CDFSL-V: Cross-Domain Few-Shot Learning for Videos. Sarinda Samarasinghe, Mamshad Nayeem Rizve, Navid Kardan, Mubarak Shah |
| 2023 | CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification. Rabab Abdelfattah, Qing Guo, Xiaoguang Li, Xiaofeng Wang, Song Wang |
| 2023 | CFCG: Semi-Supervised Semantic Segmentation via Cross-Fusion and Contour Guidance Supervision. Shuo Li, Yue He, Weiming Zhang, Wei Zhang, Xiao Tan, Junyu Han, Errui Ding, Jingdong Wang |
| 2023 | CGBA: Curvature-aware Geometric Black-box Attack. Md Farhamdur Reza, Ali Rahmati, Tianfu Wu, Huaiyu Dai |
| 2023 | CHORUS: Learning Canonicalized 3D Human-Object Spatial Relations from Unbounded Synthesized Images. Sookwan Han, Hanbyul Joo |
| 2023 | CIRI: Curricular Inactivation for Residue-aware One-shot Video Inpainting. Weiying Zheng, Cheng Xu, Xuemiao Xu, Wenxi Liu, Shengfeng He |
| 2023 | CL-MVSNet: Unsupervised Multi-view Stereo with Dual-level Contrastive Learning. Kaiqiang Xiong, Rui Peng, Zhe Zhang, Tianxing Feng, Jianbo Jiao, Feng Gao, Ronggang Wang |
| 2023 | CLIP-Cluster: CLIP-Guided Attribute Hallucination for Face Clustering. Shuai Shen, Wanhua Li, Xiaobing Wang, Dafeng Zhang, Zhezhu Jin, Jie Zhou, Jiwen Lu |
| 2023 | CLIP-Driven Universal Model for Organ Segmentation and Tumor Detection. Jie Liu, Yixiao Zhang, Jieneng Chen, Junfei Xiao, Yongyi Lu, Bennett A. Landman, Yixuan Yuan, Alan L. Yuille, Yucheng Tang, Zongwei Zhou |
| 2023 | CLIP2Point: Transfer CLIP to Point Cloud Classification with Image-Depth Pre-Training. Tianyu Huang, Bowen Dong, Yunhan Yang, Xiaoshui Huang, Rynson W. H. Lau, Wanli Ouyang, Wangmeng Zuo |
| 2023 | CLIPN for Zero-Shot OOD Detection: Teaching CLIP to Say No. Hualiang Wang, Yi Li, Huifeng Yao, Xiaomeng Li |
| 2023 | CLIPTER: Looking at the Bigger Picture in Scene Text Recognition. Aviad Aberdam, David Bensaïd, Alona Golts, Roy Ganz, Oren Nuriel, Royee Tichauer, Shai Mazor, Ron Litman |
| 2023 | CLIPTrans: Transferring Visual Knowledge with Pre-trained Models for Multimodal Machine Translation. Devaansh Gupta, Siddhant Kharbanda, Jiawei Zhou, Wanhua Li, Hanspeter Pfister, Donglai Wei |
| 2023 | CLIPascene: Scene Sketching with Different Types and Levels of Abstraction. Yael Vinker, Yuval Alaluf, Daniel Cohen-Or, Ariel Shamir |
| 2023 | CLNeRF: Continual Learning Meets NeRF. Zhipeng Cai, Matthias Müller |
| 2023 | CLR: Channel-wise Lightweight Reprogramming for Continual Learning. Yunhao Ge, Yuecheng Li, Shuo Ni, Jiaping Zhao, Ming-Hsuan Yang, Laurent Itti |
| 2023 | CMDA: Cross-Modality Domain Adaptation for Nighttime Semantic Segmentation. Ruihao Xia, Chaoqiang Zhao, Meng Zheng, Ziyan Wu, Qiyu Sun, Yang Tang |
| 2023 | CO-Net: Learning Multiple Point Cloud Tasks at Once with A Cohesive Network. Tao Xie, Ke Wang, Siyi Lu, Yukun Zhang, Kun Dai, Xiaoyu Li, Jie Xu, Li Wang, Lijun Zhao, Xinyu Zhang, Ruifeng Li |
| 2023 | CO-PILOT: Dynamic Top-Down Point Cloud with Conditional Neighborhood Aggregation for Multi-Gigapixel Histopathology Image Representation. Ramin Nakhli, Allen W. Zhang, Ali Khajegili Mirabadi, Katherine Rich, Maryam Asadi, C. Blake Gilks, Hossein Farahani, Ali Bashashati |
| 2023 | COCO-O: A Benchmark for Object Detectors under Natural Distribution Shifts. Xiaofeng Mao, Yuefeng Chen, Yao Zhu, Da Chen, Hang Su, Rong Zhang, Hui Xue |
| 2023 | COMPASS: High-Efficiency Deep Image Compression with Arbitrary-scale Spatial Scalability. Jongmin Park, Jooyoung Lee, Munchurl Kim |
| 2023 | COOL-CHIC: Coordinate-based Low Complexity Hierarchical Image Codec. Théo Ladune, Pierrick Philippe, Félix Henry, Gordon Clare, Thomas Leguay |
| 2023 | COOP: Decoupling and Coupling of Whole-Body Grasping Pose Generation. Yanzhao Zheng, Yunzhou Shi, Yuhao Cui, Zhongzhou Zhao, Zhiling Luo, Wei Zhou |
| 2023 | COPILOT: Human-Environment Collision Prediction and Localization from Egocentric Videos. Boxiao Pan, Bokui Shen, Davis Rempe, Despoina Paschalidou, Kaichun Mo, Yanchao Yang, Leonidas J. Guibas |
| 2023 | CORE: Co-planarity Regularized Monocular Geometry Estimation with Weak Supervision. Yuguang Li, Kai Wang, Hui Li, Seon-Min Rhee, Seungju Han, Jihye Kim, Min Yang, Ran Yang, Feng Zhu |
| 2023 | CPCM: Contextual Point Cloud Modeling for Weakly-supervised Point Cloud Semantic Segmentation. Lizhao Liu, Zhuangwei Zhuang, Shangxin Huang, Xunlong Xiao, Tianhang Xiang, Cen Chen, Jingdong Wang, Mingkui Tan |
| 2023 | CRN: Camera Radar Net for Accurate, Robust, Efficient 3D Perception. Youngseok Kim, Juyeb Shin, Sanmin Kim, In-Jae Lee, Jun Won Choi, Dongsuk Kum |
| 2023 | CROSSFIRE: Camera Relocalization On Self-Supervised Features from an Implicit Representation. Arthur Moreau, Nathan Piasco, Moussâb Bennehar, Dzmitry Tsishkou, Bogdan Stanciulescu, Arnaud de La Fortelle |
| 2023 | CSDA: Learning Category-Scale Joint Feature for Domain Adaptive Object Detection. Changlong Gao, Chengxu Liu, Yujie Dun, Xueming Qian |
| 2023 | CTP: Towards Vision-Language Continual Pretraining via Compatible Momentum Contrast and Topology Preservation. Hongguang Zhu, Yunchao Wei, Xiaodan Liang, Chunjie Zhang, Yao Zhao |
| 2023 | CTVIS: Consistent Training for Online Video Instance Segmentation. Kaining Ying, Qing Zhong, Weian Mao, Zhenhua Wang, Hao Chen, Lin Yuanbo Wu, Yifan Liu, Chengxiang Fan, Yunzhi Zhuge, Chunhua Shen |
| 2023 | CVRecon: Rethinking 3D Geometric Feature Learning For Neural Reconstruction. Ziyue Feng, Liang Yang, Pengsheng Guo, Bing Li |
| 2023 | CVSformer: Cross-View Synthesis Transformer for Semantic Scene Completion. Haotian Dong, Enhui Ma, Lubo Wang, Miaohui Wang, Wuyuan Xie, Qing Guo, Ping Li, Lingyu Liang, Kairui Yang, Di Lin |
| 2023 | CaPhy: Capturing Physical Properties for Animatable Human Avatars. Zhaoqi Su, Liangxiao Hu, Siyou Lin, Hongwen Zhang, Shengping Zhang, Justus Thies, Yebin Liu |
| 2023 | Calibrating Panoramic Depth Estimation for Practical Localization and Mapping. Junho Kim, Eun Sun Lee, Young Min Kim |
| 2023 | Calibrating Uncertainty for Semi-Supervised Crowd Counting. Chen Li, Xiaoling Hu, Shahira Abousamra, Chao Chen |
| 2023 | Camera-Driven Representation Learning for Unsupervised Domain Adaptive Person Re-identification. Geon Lee, Sanghoon Lee, Dohyung Kim, Younghoon Shin, Yongsang Yoon, Bumsub Ham |
| 2023 | Can Language Models Learn to Listen? Evonne Ng, Sanjay Subramanian, Dan Klein, Angjoo Kanazawa, Trevor Darrell, Shiry Ginosar |
| 2023 | CancerUniT: Towards a Single Unified Model for Effective Detection, Segmentation, and Diagnosis of Eight Major Cancers Using a Large Collection of CT Scans. Jieneng Chen, Yingda Xia, Jiawen Yao, Ke Yan, Jianpeng Zhang, Le Lu, Fakai Wang, Bo Zhou, Mingyan Qiu, Qihang Yu, Mingze Yuan, Wei Fang, Yuxing Tang, Minfeng Xu, Jian Zhou, Yuqian Zhao, Qifeng Wang, Xianghua Ye, Xiaoli Yin, Yu Shi, Xin Chen, Jingren Zhou, Alan L. Yuille, Zaiyi Liu, Ling Zhang |
| 2023 | Candidate-aware Selective Disambiguation Based On Normalized Entropy for Instance-dependent Partial-label Learning. Shuo He, Guowu Yang, Lei Feng |
| 2023 | Canonical Factors for Hybrid Neural Fields. Brent Yi, Weijia Zeng, Sam Buchanan, Yi Ma |
| 2023 | Cascade-DETR: Delving into High-Quality Universal Object Detection. Mingqiao Ye, Lei Ke, Siyuan Li, Yu-Wing Tai, Chi-Keung Tang, Martin Danelljan, Fisher Yu |
| 2023 | Category-aware Allocation Transformer for Weakly Supervised Object Localization. Zhiwei Chen, Jinren Ding, Liujuan Cao, Yunhang Shen, Shengchuan Zhang, Guannan Jiang, Rongrong Ji |
| 2023 | CauSSL: Causality-inspired Semi-supervised Learning for Medical Image Segmentation. Juzheng Miao, Cheng Chen, Furui Liu, Hao Wei, Pheng-Ann Heng |
| 2023 | Causal-DFQ: Causality Guided Data-free Network Quantization. Yuzhang Shang, Bingxin Xu, Gaowen Liu, Ramana Rao Kompella, Yan Yan |
| 2023 | Center-Based Decoupled Point Cloud Registration for 6D Object Pose Estimation. Haobo Jiang, Zheng Dang, Shuo Gu, Jin Xie, Mathieu Salzmann, Jian Yang |
| 2023 | Champagne: Learning Real-world Conversation from Large-Scale Web Videos. Seungju Han, Jack Hessel, Nouha Dziri, Yejin Choi, Youngjae Yu |
| 2023 | Chaotic World: A Large and Challenging Benchmark for Human Behavior Understanding in Chaotic Events. Kian Eng Ong, Xun Long Ng, Yanchao Li, Wenjie Ai, Kuangyi Zhao, Si Yong Yeo, Jun Liu |
| 2023 | ChartReader: A Unified Framework for Chart Derendering and Comprehension without Heuristic Rules. Zhi-Qi Cheng, Qi Dai, Alexander G. Hauptmann |
| 2023 | Chasing clouds: Differentiable volumetric rasterisation of point clouds as a highly efficient and accurate loss for large-scale deformable 3D registration. Mattias P. Heinrich, Alexander Bigalke, Christoph Großbröhmer, Lasse Hansen |
| 2023 | CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network. Ruyi Lian, Haibin Ling |
| 2023 | ChildPlay: A New Benchmark for Understanding Children's Gaze Behaviour. Samy Tafasca, Anshul Gupta, Jean-Marc Odobez |
| 2023 | Chinese Text Recognition with A Pre-Trained CLIP-Like Model Through Image-IDS Aligning. Haiyang Yu, Xiaocong Wang, Bin Li, Xiangyang Xue |
| 2023 | Chop & Learn: Recognizing and Generating Object-State Compositions. Nirat Saini, Hanyu Wang, Archana Swaminathan, Vinoj Jayasundara, Bo He, Kamal Gupta, Abhinav Shrivastava |
| 2023 | Chord: Category-level Hand-held Object Reconstruction via Shape Deformation. Kailin Li, Lixin Yang, Haoyu Zhen, Zenan Lin, Xinyu Zhan, Licheng Zhong, Jian Xu, Kejian Wu, Cewu Lu |
| 2023 | Chordal Averaging on Flag Manifolds and Its Applications. Nathan Mankovich, Tolga Birdal |
| 2023 | Chupa: Carving 3D Clothed Humans from Skinned Shape Priors using 2D Diffusion Probabilistic Models. Byungjun Kim, Patrick Kwon, Kwangho Lee, Myunggi Lee, Sookwan Han, Daesik Kim, Hanbyul Joo |
| 2023 | CiT: Curation in Training for Effective Vision-Language Data. Hu Xu, Saining Xie, Po-Yao Huang, Licheng Yu, Russell Howes, Gargi Ghosh, Luke Zettlemoyer, Christoph Feichtenhofer |
| 2023 | CiteTracker: Correlating Image and Text for Visual Tracking. Xin Li, Yuqing Huang, Zhenyu He, Yaowei Wang, Huchuan Lu, Ming-Hsuan Yang |
| 2023 | Class Prior-Free Positive-Unlabeled Learning with Taylor Variational Loss for Hyperspectral Remote Sensing Imagery. Hengwei Zhao, Xinyu Wang, Jingtao Li, Yanfei Zhong |
| 2023 | Class-Aware Patch Embedding Adaptation for Few-Shot Image Classification. Fusheng Hao, Fengxiang He, Liu Liu, Fuxiang Wu, Dacheng Tao, Jun Cheng |
| 2023 | Class-Incremental Grouping Network for Continual Audio-Visual Learning. Shentong Mo, Weiguo Pian, Yapeng Tian |
| 2023 | Class-incremental Continual Learning for Instance Segmentation with Image-level Weak Supervision. Yu-Hsing Hsieh, Guan-Sheng Chen, Shun-Xian Cai, Ting-Yun Wei, Huei-Fang Yang, Chu-Song Chen |
| 2023 | Class-relation Knowledge Distillation for Novel Class Discovery. Peiyan Gu, Chuyu Zhang, Ruijie Xu, Xuming He |
| 2023 | CleanCLIP: Mitigating Data Poisoning Attacks in Multimodal Contrastive Learning. Hritik Bansal, Fan Yin, Nishad Singhi, Aditya Grover, Yu Yang, Kai-Wei Chang |
| 2023 | ClimateNeRF: Extreme Weather Synthesis in Neural Radiance Field. Yuan Li, Zhi-Hao Lin, David A. Forsyth, Jia-Bin Huang, Shenlong Wang |
| 2023 | Cloth2Body: Generating 3D Human Body Mesh from 2D Clothing. Lu Dai, Liqian Ma, Shenhan Qian, Hao Liu, Ziwei Liu, Hui Xiong |
| 2023 | ClothPose: A Real-world Benchmark for Visual Analysis of Garment Pose via An Indirect Recording Solution. Wenqiang Xu, Wenxin Du, Han Xue, Yutong Li, Ruolin Ye, Yanfeng Wang, Cewu Lu |
| 2023 | ClothesNet: An Information-Rich 3D Garment Model Repository with Simulated Clothes Environment. Bingyang Zhou, Haoyu Zhou, Tianhai Liang, Qiaojun Yu, Siheng Zhao, Yuwei Zeng, Jun Lv, Siyuan Luo, Qiancai Wang, Xinyuan Yu, Haonan Chen, Cewu Lu, Lin Shao |
| 2023 | ClusT3: Information Invariant Test-Time Training. Gustavo Adolfo Vargas Hakim, David Osowiechi, Mehrdad Noori, Milad Cheraghalikhani, Ali Bahri, Ismail Ben Ayed, Christian Desrosiers |
| 2023 | Clusterformer: Cluster-based Transformer for 3D Object Detection in Point Clouds. Yu Pei, Xian Zhao, Hao Li, Jingyuan Ma, Jingwei Zhang, Shiliang Pu |
| 2023 | Clustering based Point Cloud Representation Learning for 3D Analysis. Tuo Feng, Wenguan Wang, Xiaohan Wang, Yi Yang, Qinghua Zheng |
| 2023 | Clutter Detection and Removal in 3D Scenes with View-Consistent Inpainting. Fangyin Wei, Thomas A. Funkhouser, Szymon Rusinkiewicz |
| 2023 | Co-Evolution of Pose and Mesh for 3D Human Body Estimation from Video. Yingxuan You, Hong Liu, Ti Wang, Wenhao Li, Runwei Ding, Xia Li |
| 2023 | CoIn: Contrastive Instance Feature Mining for Outdoor 3D Object Detection with Very Limited Annotations. Qiming Xia, Jinhao Deng, Chenglu Wen, Hai Wu, Shaoshuai Shi, Xin Li, Cheng Wang |
| 2023 | CoSign: Exploring Co-occurrence Signals in Skeleton-based Continuous Sign Language Recognition. Peiqi Jiao, Yuecong Min, Yanan Li, Xiaotao Wang, Lei Lei, Xilin Chen |
| 2023 | CoTDet: Affordance Knowledge Prompting for Task Driven Object Detection. Jiajin Tang, Ge Zheng, Jingyi Yu, Sibei Yang |
| 2023 | Coarse-to-Fine Amodal Segmentation with Shape Prior. Jianxiong Gao, Xuelin Qian, Yikai Wang, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu |
| 2023 | Coarse-to-Fine: Learning Compact Discriminative Representation for Single-Stage Image Retrieval. Yunquan Zhu, Xinkai Gao, Bo Ke, Ruizhi Qiao, Xing Sun |
| 2023 | Coherent Event Guided Low-Light Video Enhancement. Jinxiu Liang, Yixin Yang, Boyu Li, Peiqi Duan, Yong Xu, Boxin Shi |
| 2023 | CoinSeg: Contrast Inter- and Intra- Class Representations for Incremental Segmentation. Zekang Zhang, Guangyu Gao, Jianbo Jiao, Chi Harold Liu, Yunchao Wei |
| 2023 | Collaborative Propagation on Multiple Instance Graphs for 3D Instance Segmentation with Single-point Supervision. Shichao Dong, Ruibo Li, Jiacheng Wei, Fayao Liu, Guosheng Lin |
| 2023 | Collaborative Tracking Learning for Frame-Rate-Insensitive Multi-Object Tracking. Yiheng Liu, Junta Wu, Yi Fu |
| 2023 | Collecting The Puzzle Pieces: Disentangled Self-Driven Human Pose Transfer by Permuting Textures. Nannan Li, Kevin J. Shih, Bryan A. Plummer |
| 2023 | Combating Noisy Labels with Sample Selection by Mining High-Discrepancy Examples. Xiaobo Xia, Bo Han, Yibing Zhan, Jun Yu, Mingming Gong, Chen Gong, Tongliang Liu |
| 2023 | Communication-Efficient Vertical Federated Learning with Limited Overlapping Samples. Jingwei Sun, Ziyue Xu, Dong Yang, Vishwesh Nath, Wenqi Li, Can Zhao, Daguang Xu, Yiran Chen, Holger R. Roth |
| 2023 | Communication-efficient Federated Learning with Single-Step Synthetic Features Compressor for Faster Convergence. Yuhao Zhou, Mingjia Shi, Yuanxi Li, Yanan Sun, Qing Ye, Jiancheng Lv |
| 2023 | Compatibility of Fundamental Matrices for Complete Viewing Graphs. Martin Bråtelund, Felix Rydell |
| 2023 | Complementary Domain Adaptation and Generalization for Unsupervised Continual Domain Shift Learning. Wonguk Cho, Jinha Park, Taesup Kim |
| 2023 | Compositional Feature Augmentation for Unbiased Scene Graph Generation. Lin Li, Guikun Chen, Jun Xiao, Yi Yang, Chunping Wang, Long Chen |
| 2023 | Computation and Data Efficient Backdoor Attacks. Yutong Wu, Xingshuo Han, Han Qiu, Tianwei Zhang |
| 2023 | Computational 3D Imaging with Position Sensors. Jeremy Klotz, Mohit Gupta, Aswin C. Sankaranarayanan |
| 2023 | Computationally-Efficient Neural Image Compression with Shallow Decoders. Yibo Yang, Stephan Mandt |
| 2023 | ConSlide: Asynchronous Hierarchical Interaction Transformer with Breakup-Reorganize Rehearsal for Continual Whole Slide Image Analysis. Yanyan Huang, Weiqin Zhao, Shujun Wang, Yu Fu, Yuming Jiang, Lequan Yu |
| 2023 | Concept-wise Fine-tuning Matters in Preventing Negative Transfer. Yunqiao Yang, Long-Kai Huang, Ying Wei |
| 2023 | Conceptual and Hierarchical Latent Space Decomposition for Face Editing. Savas Özkan, Mete Özay, Tom Robinson |
| 2023 | Conditional 360-degree Image Synthesis for Immersive Indoor Scene Decoration. Ka-Chun Shum, Hong-Wing Pang, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung |
| 2023 | Conditional Cross Attention Network for Multi-Space Embedding without Entanglement in Only a SINGLE Network. Chull Hwan Song, Taebaek Hwang, Jooyoung Yoon, Shunghyun Choi, Yeong Hyeon Gu |
| 2023 | Confidence-aware Pseudo-label Learning for Weakly Supervised Visual Grounding. Yang Liu, Jiahua Zhang, Qingchao Chen, Yuxin Peng |
| 2023 | Confidence-based Visual Dispersal for Few-shot Unsupervised Domain Adaptation. Yizhe Xiong, Hui Chen, Zijia Lin, Sicheng Zhao, Guiguang Ding |
| 2023 | Consistent Depth Prediction for Transparent Object Reconstruction from RGB-D Camera. Yuxiang Cai, Yifan Zhu, Haiwei Zhang, Bo Ren |
| 2023 | Constraining Depth Map Geometry for Multi-View Stereo: A Dual-Depth Approach with Saddle-shaped Depth Cells. Xinyi Ye, Weiyue Zhao, Tianqi Liu, Zihao Huang, Zhiguo Cao, Xin Li |
| 2023 | ContactGen: Generative Contact Modeling for Grasp Generation. Shaowei Liu, Yang Zhou, Jimei Yang, Saurabh Gupta, Shenlong Wang |
| 2023 | Contactless Pulse Estimation Leveraging Pseudo Labels and Self-Supervision. Zhihua Li, Lijun Yin |
| 2023 | Content-Aware Local GAN for Photo-Realistic Super-Resolution. Joonkyu Park, Sanghyun Son, Kyoung Mu Lee |
| 2023 | Context-Aware Planning and Environment-Aware Memory for Instruction Following Embodied Agents. Byeonghwi Kim, Jinyeon Kim, Yuyeong Kim, Cheolhong Min, Jonghyun Choi |
| 2023 | Continual Learning for Personalized Co-Speech Gesture Generation. Chaitanya Ahuja, Pratik Joshi, Ryo Ishii, Louis-Philippe Morency |
| 2023 | Continual Segment: Towards a Single, Unified and Non-forgetting Continual Segmentation Model of 143 Whole-body Organs in CT Scans. Zhanghexuan Ji, Dazhou Guo, Puyang Wang, Ke Yan, Le Lu, Minfeng Xu, Qifeng Wang, Jia Ge, Mingchen Gao, Xianghua Ye, Dakai Jin |
| 2023 | Continual Zero-Shot Learning through Semantically Guided Generative Random Walks. Wenxuan Zhang, Paul Janson, Kai Yi, Ivan Skorokhodov, Mohamed Elhoseiny |
| 2023 | Continuously Masked Transformer for Image Inpainting. Keunsoo Ko, Chang-Su Kim |
| 2023 | Contrastive Continuity on Augmentation Stability Rehearsal for Continual Self-Supervised Learning. Haoyang Cheng, Haitao Wen, Xiaoliang Zhang, Heqian Qiu, Lanxiao Wang, Hongliang Li |
| 2023 | Contrastive Feature Masking Open-Vocabulary Vision Transformer. Dahun Kim, Anelia Angelova, Weicheng Kuo |
| 2023 | Contrastive Learning Relies More on Spatial Inductive Bias Than Supervised Learning: An Empirical Study. Yuanyi Zhong, Haoran Tang, Jun-Kun Chen, Yu-Xiong Wang |
| 2023 | Contrastive Model Adaptation for Cross-Condition Robustness in Semantic Segmentation. David Brüggemann, Christos Sakaridis, Tim Brödermann, Luc Van Gool |
| 2023 | Contrastive Pseudo Learning for Open-World DeepFake Attribution. Zhimin Sun, Shen Chen, Taiping Yao, Bangjie Yin, Ran Yi, Shouhong Ding, Lizhuang Ma |
| 2023 | Controllable Guide-Space for Generalizable Face Forgery Detection. Ying Guo, Cheng Zhen, Pengfei Yan |
| 2023 | Controllable Person Image Synthesis with Pose-Constrained Latent Diffusion. Xiao Han, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang |
| 2023 | Controllable Visual-Tactile Synthesis. Ruihan Gao, Wenzhen Yuan, Jun-Yan Zhu |
| 2023 | Convex Decomposition of Indoor Scenes. Vaibhav Vavilala, David A. Forsyth |
| 2023 | Convolutional Networks with Oriented 1D Kernels. Alexandre Kirchmeyer, Jia Deng |
| 2023 | Coordinate Quantized Neural Implicit Representations for Multi-view Reconstruction. Sijia Jiang, Jing Hua, Zhizhong Han |
| 2023 | Coordinate Transformer: Achieving Single-stage Multi-person Mesh Recovery from Videos. Haoyuan Li, Haoye Dong, Hanchao Jia, Dong Huang, Michael C. Kampffmeyer, Liang Lin, Xiaodan Liang |
| 2023 | CopyRNeRF: Protecting the CopyRight of Neural Radiance Fields. Ziyuan Luo, Qing Guo, Ka Chun Cheung, Simon See, Renjie Wan |
| 2023 | Core: Cooperative Reconstruction for Multi-Agent Perception. Binglu Wang, Lei Zhang, Zhaozhong Wang, Yongqiang Zhao, Tianfei Zhou |
| 2023 | Corrupting Neuron Explanations of Deep Visual Features. Divyansh Srivastava, Tuomas P. Oikarinen, Tsui-Wei Weng |
| 2023 | Counterfactual-based Saliency Map: Towards Visual Contrastive Explanations for Neural Networks. Xue Wang, Zhibo Wang, Haiqin Weng, Hengchang Guo, Zhifei Zhang, Lu Jin, Tao Wei, Kui Ren |
| 2023 | Counting Crowds in Bad Weather. Zhi-Kai Huang, Wei-Ting Chen, Yuan-Chun Chiang, Sy-Yen Kuo, Ming-Hsuan Yang |
| 2023 | Creative Birds: Self-Supervised Single-View 3D Style Transfer. Renke Wang, Guimin Que, Shuo Chen, Xiang Li, Jun Li, Jian Yang |
| 2023 | CroCo v2: Improved Cross-view Completion Pre-training for Stereo Matching and Optical Flow. Philippe Weinzaepfel, Thomas Lucas, Vincent Leroy, Yohann Cabon, Vaibhav Arora, Romain Brégier, Gabriela Csurka, Leonid Antsfeld, Boris Chidlovskii, Jérôme Revaud |
| 2023 | Cross Contrasting Feature Perturbation for Domain Generalization. Chenming Li, Daoan Zhang, Wenjian Huang, Jianguo Zhang |
| 2023 | Cross Modal Transformer: Towards Fast and Robust 3D Object Detection. Junjie Yan, Yingfei Liu, Jianjian Sun, Fan Jia, Shuailin Li, Tiancai Wang, Xiangyu Zhang |
| 2023 | Cross-Domain Product Representation Learning for Rich-Content E-Commerce. Xuehan Bai, Yan Li, Yanhua Cheng, Wenjie Yang, Quan Chen, Han Li |
| 2023 | Cross-Modal Learning with 3D Deformable Attention for Action Recognition. Sangwon Kim, Dasom Ahn, ByoungChul Ko |
| 2023 | Cross-Modal Translation and Alignment for Survival Analysis. Fengtao Zhou, Hao Chen |
| 2023 | Cross-Ray Neural Radiance Fields for Novel-view Synthesis from Unconstrained Image Collections. Yifan Yang, Shuhai Zhang, Zixiong Huang, Yubing Zhang, Mingkui Tan |
| 2023 | Cross-modal Latent Space Alignment for Image to Avatar Translation. Manuel Ladron de Guevara, Yannick Hold-Geoffroy, Jose Echevarria, Cameron Smith, Yijun Li, Daichi Ito |
| 2023 | Cross-modal Orthogonal High-rank Augmentation for RGB-Event Transformer-trackers. Zhiyu Zhu, Junhui Hou, Dapeng Oliver Wu |
| 2023 | Cross-modal Scalable Hyperbolic Hierarchical Clustering. Teng Long, Nanne van Noord |
| 2023 | Cross-view Semantic Alignment for Livestreaming Product Recognition. Wenjie Yang, Yiyi Chen, Yan Li, Yanhua Cheng, Xudong Liu, Quan Chen, Han Li |
| 2023 | Cross-view Topology Based Consistent and Complementary Information for Deep Multi-view Clustering. Zhibin Dong, Siwei Wang, Jiaqi Jin, Xinwang Liu, En Zhu |
| 2023 | CrossLoc3D: Aerial-Ground Cross-Source 3D Place Recognition. Tianrui Guan, Aswath Muthuselvam, Montana Hoover, Xijun Wang, Jing Liang, Adarsh Jagan Sathyamoorthy, Damon Conover, Dinesh Manocha |
| 2023 | CrossMatch: Source-Free Domain Adaptive Semantic Segmentation via Cross-Modal Consistency Training. Yifang Yin, Wenmiao Hu, Zhenguang Liu, Guanfeng Wang, Shili Xiang, Roger Zimmermann |
| 2023 | CuNeRF: Cube-Based Neural Radiance Field for Zero-Shot Medical Image Arbitrary-Scale Super Resolution. Zixuan Chen, Lingxiao Yang, Jian-Huang Lai, Xiaohua Xie |
| 2023 | Cumulative Spatial Knowledge Distillation for Vision Transformers. Borui Zhao, Renjie Song, Jiajun Liang |
| 2023 | Curvature-Aware Training for Coordinate Networks. Hemanth Saratchandran, Shin-Fang Ch'ng, Sameera Ramasinghe, Lachlan E. MacDonald, Simon Lucey |
| 2023 | Cyclic Test-Time Adaptation on Monocular Video for 3D Human Mesh Reconstruction. Hyeongjin Nam, Daniel Sungho Jung, Yeonguk Oh, Kyoung Mu Lee |
| 2023 | Cyclic-Bootstrap Labeling for Weakly Supervised Object Detection. Yufei Yin, Jiajun Deng, Wengang Zhou, Li Li, Houqiang Li |
| 2023 | D-IF: Uncertainty-aware Human Digitization via Implicit Distribution Field. Xueting Yang, Yihao Luo, Yuliang Xiu, Wei Wang, Hao Xu, Zhaoxin Fan |
| 2023 | D3G: Exploring Gaussian Prior for Temporal Sentence Grounding with Glance Annotation. Hanjun Li, Xiujun Shu, Sunan He, Ruizhi Qiao, Wei Wen, Taian Guo, Bei Gan, Xing Sun |
| 2023 | DALL-EVAL: Probing the Reasoning Skills and Social Biases of Text-to-Image Generation Models. Jaemin Cho, Abhay Zala, Mohit Bansal |
| 2023 | DARTH: Holistic Test-time Adaptation for Multiple Object Tracking. Mattia Segù, Bernt Schiele, Fisher Yu |
| 2023 | DCPB: Deformable Convolution based on the Poincaré Ball for Top-view Fisheye Cameras. Xuan Wei, Zhidan Ran, Xiaobo Lu |
| 2023 | DDColor: Towards Photo-Realistic Image Colorization via Dual Decoders. Xiaoyang Kang, Tao Yang, Wenqi Ouyang, Peiran Ren, Lingzhi Li, Xuansong Xie |
| 2023 | DDFM: Denoising Diffusion Model for Multi-Modality Image Fusion. Zixiang Zhao, Haowen Bai, Yuanzhi Zhu, Jiangshe Zhang, Shuang Xu, Yulun Zhang, Kai Zhang, Deyu Meng, Radu Timofte, Luc Van Gool |
| 2023 | DDG-Net: Discriminability-Driven Graph Network for Weakly-supervised Temporal Action Localization. Xiaojun Tang, Junsong Fan, Chuanchen Luo, Zhaoxiang Zhang, Man Zhang, Zongyuan Yang |
| 2023 | DDIT: Semantic Scene Completion via Deformable Deep Implicit Templates. Haoang Li, Jinhu Dong, Binghui Wen, Ming Gao, Tianyu Huang, Yun-Hui Liu, Daniel Cremers |
| 2023 | DDP: Diffusion Model for Dense Visual Prediction. Yuanfeng Ji, Zhe Chen, Enze Xie, Lanqing Hong, Xihui Liu, Zhaoqiang Liu, Tong Lu, Zhenguo Li, Ping Luo |
| 2023 | DDS2M: Self-Supervised Denoising Diffusion Spatio-Spectral Model for Hyperspectral Image Restoration. Yuchun Miao, Lefei Zhang, Liangpei Zhang, Dacheng Tao |
| 2023 | DECO: Dense Estimation of 3D Human-Scene Contact In The Wild. Shashank Tripathi, Agniv Chatterjee, Jean-Claude Passy, Hongwei Yi, Dimitrios Tzionas, Michael J. Black |
| 2023 | DELFlow: Dense Efficient Learning of Scene Flow for Large-Scale Point Clouds. Chensheng Peng, Guangming Wang, Xian Wan Lo, Xinrui Wu, Chenfeng Xu, Masayoshi Tomizuka, Wei Zhan, Hesheng Wang |
| 2023 | DETA: Denoised Task Adaptation for Few-Shot Learning. Ji Zhang, Lianli Gao, Xu Luo, Hengtao Shen, Jingkuan Song |
| 2023 | DETR Does Not Need Multi-Scale or Locality Design. Yutong Lin, Yuhui Yuan, Zheng Zhang, Chen Li, Nanning Zheng, Han Hu |
| 2023 | DETRDistill: A Universal Knowledge Distillation Framework for DETR-families. Jiahao Chang, Shuo Wang, Hai-Ming Xu, Zehui Chen, Chenhongyi Yang, Feng Zhao |
| 2023 | DETRs with Collaborative Hybrid Assignments Training. Zhuofan Zong, Guanglu Song, Yu Liu |
| 2023 | DFA3D: 3D Deformable Attention For 2D-to-3D Feature Lifting. Hongyang Li, Hao Zhang, Zhaoyang Zeng, Shilong Liu, Feng Li, Tianhe Ren, Lei Zhang |
| 2023 | DG-Recon: Depth-Guided Neural 3D Scene Reconstruction. Jihong Ju, Ching Wei Tseng, Oleksandr Bailo, Georgi Dikov, Mohsen Ghafoorian |
| 2023 | DG3D: Generating High Quality 3D Textured Shapes by Learning to Discriminate Multi-Modal Diffusion-Renderings. Qi Zuo, Yafei Song, Jianfang Li, Lin Liu, Liefeng Bo |
| 2023 | DIME-FM : DIstilling Multimodal and Efficient Foundation Models. Ximeng Sun, Pengchuan Zhang, Peizhao Zhang, Hardik Shah, Kate Saenko, Xide Xia |
| 2023 | DINAR: Diffusion Inpainting of Neural Textures for One-Shot Human Avatars. David Svitov, Dmitrii Gudkov, Renat Bashirov, Victor Lempitsky |
| 2023 | DIRE for Diffusion-Generated Image Detection. Zhendong Wang, Jianmin Bao, Wengang Zhou, Weilun Wang, Hezhen Hu, Hong Chen, Houqiang Li |
| 2023 | DISeR: Designing Imaging Systems with Reinforcement Learning. Tzofi Klinghoffer, Kushagra Tiwary, Nikhil Behari, Bhavya Agrawalla, Ramesh Raskar |
| 2023 | DLGSANet: Lightweight Dynamic Local and Global Self-Attention Network for Image Super-Resolution. Xiang Li, Jiangxin Dong, Jinhui Tang, Jinshan Pan |
| 2023 | DLT: Conditioned layout generation with Joint Discrete-Continuous Diffusion Layout Transformer. Elad Levi, Eli Brosh, Mykola Mykhailych, Meir Perez |
| 2023 | DMNet: Delaunay Meshing Network for 3D Shape Representation. Chen Zhang, Ganzhangqin Yuan, Wenbing Tao |
| 2023 | DNA-Rendering: A Diverse Neural Actor Repository for High-Fidelity Human-centric Rendering. Wei Cheng, Ruixiang Chen, Siming Fan, Wanqi Yin, Keyu Chen, Zhongang Cai, Jingbo Wang, Yang Gao, Zhengming Yu, Zhengyu Lin, Daxuan Ren, Lei Yang, Ziwei Liu, Chen Change Loy, Chen Qian, Wayne Wu, Dahua Lin, Bo Dai, Kwan-Yee Lin |
| 2023 | DOLCE: A Model-Based Probabilistic Diffusion Framework for Limited-Angle CT Reconstruction. Jiaming Liu, Rushil Anirudh, Jayaraman J. Thiagarajan, Stewart He, K. Aditya Mohan, Ulugbek S. Kamilov, Hyojin Kim |
| 2023 | DOT: A Distillation-Oriented Trainer. Borui Zhao, Quan Cui, Renjie Song, Jiajun Liang |
| 2023 | DPF-Net: Combining Explicit Shape Priors in Deformable Primitive Field for Unsupervised Structural Reconstruction of 3D Objects. Qingyao Shuai, Chi Zhang, Kaizhi Yang, Xuejin Chen |
| 2023 | DPM-OT: A New Diffusion Probabilistic Model Based on Optimal Transport. Zezeng Li, Shenghao Li, Zhanpeng Wang, Na Lei, Zhongxuan Luo, Xianfeng David Gu |
| 2023 | DPS-Net: Deep Polarimetric Stereo Depth Estimation. Chaoran Tian, Weihong Pan, Zimo Wang, Mao Mao, Guofeng Zhang, Hujun Bao, Ping Tan, Zhaopeng Cui |
| 2023 | DQS3D: Densely-matched Quantization-aware Semi-supervised 3D Detection. Huan-ang Gao, Beiwen Tian, Pengfei Li, Hao Zhao, Guyue Zhou |
| 2023 | DR-Tune: Improving Fine-tuning of Pretrained Visual Models by Distribution Regularization with Semantic Calibration. Nan Zhou, Jiaxin Chen, Di Huang |
| 2023 | DRAW: Defending Camera-shooted RAW against Image Manipulation. Xiaoxiao Hu, Qichao Ying, Zhenxing Qian, Sheng Li, Xinpeng Zhang |
| 2023 | DREAM: Efficient Dataset Distillation by Representative Matching. Yanqing Liu, Jianyang Gu, Kai Wang, Zheng Zhu, Wei Jiang, Yang You |
| 2023 | DReg-NeRF: Deep Registration for Neural Radiance Fields. Yu Chen, Gim Hee Lee |
| 2023 | DS-Fusion: Artistic Typography via Discriminated and Stylized Diffusion. Maham Tanveer, Yizhi Wang, Ali Mahdavi-Amiri, Hao Zhang |
| 2023 | DVGaze: Dual-View Gaze Estimation. Yihua Cheng, Feng Lu |
| 2023 | DVIS: Decoupled Video Instance Segmentation Framework. Tao Zhang, Xingye Tian, Yu Wu, Shunping Ji, Xuebo Wang, Yuan Zhang, Pengfei Wan |
| 2023 | Dancing in the Dark: A Benchmark towards General Low-light Video Enhancement. Huiyuan Fu, Wenkai Zheng, Xicong Wang, Jiaxuan Wang, Heng Zhang, Huadong Ma |
| 2023 | DandelionNet: Domain Composition with Instance Adaptive Classification for Domain Generalization. Lanqing Hu, Meina Kan, Shiguang Shan, Xilin Chen |
| 2023 | DarSwin: Distortion Aware Radial Swin Transformer. Akshaya Athwale, Arman Afrasiyabi, Justin Lagüe, Ichrak Shili, Ola Ahmad, Jean-François Lalonde |
| 2023 | Dark Side Augmentation: Generating Diverse Night Examples for Metric Learning. Albert Mohwald, Tomás Jenícek, Ondrej Chum |
| 2023 | Data Augmented Flatness-aware Gradient Projection for Continual Learning. Enneng Yang, Li Shen, Zhenyi Wang, Shiwei Liu, Guibing Guo, Xingwei Wang |
| 2023 | Data-Free Class-Incremental Hand Gesture Recognition. Shubhra Aich, Jesús Ruiz-Santaquiteria, Zhenyu Lu, Prachi Garg, K. J. Joseph, Alvaro Fernandez Garcia, Vineeth N. Balasubramanian, Kenrick Kin, Chengde Wan, Necati Cihan Camgöz, Shugao Ma, Fernando De la Torre |
| 2023 | Data-free Knowledge Distillation for Fine-grained Visual Categorization. Renrong Shao, Wei Zhang, Jianhua Yin, Jun Wang |
| 2023 | DataDAM: Efficient Dataset Distillation with Attention Matching. Ahmad Sajedi, Samir Khaki, Ehsan Amjadian, Lucy Z. Liu, Yuri A. Lawryshyn, Konstantinos N. Plataniotis |
| 2023 | Dataset Quantization. Daquan Zhou, Kai Wang, Jianyang Gu, Xiangyu Peng, Dongze Lian, Yifan Zhang, Yang You, Jiashi Feng |
| 2023 | DeDrift: Robust Similarity Search under Content Drift. Dmitry Baranchuk, Matthijs Douze, Yash Upadhyay, I. Zeki Yalniz |
| 2023 | DeFormer: Integrating Transformers with Deformable Models for 3D Shape Abstraction from a Single Image. Di Liu, Xiang Yu, Meng Ye, Qilong Zhangli, Zhuowei Li, Zhixing Zhang, Dimitris N. Metaxas |
| 2023 | DeLiRa: Self-Supervised Depth, Light, and Radiance Fields. Vitor Guizilini, Igor Vasiljevic, Jiading Fang, Rares Ambrus, Sergey Zakharov, Vincent Sitzmann, Adrien Gaidon |
| 2023 | Dec-Adapter: Exploring Efficient Decoder-Side Adapter for Bridging Screen Content and Natural Image Compression. Sheng Shen, Huanjing Yue, Jingyu Yang |
| 2023 | Decomposition-Based Variational Network for Multi-Contrast MRI Super-Resolution and Reconstruction. Pengcheng Lei, Faming Fang, Guixu Zhang, Tieyong Zeng |
| 2023 | Decouple Before Interact: Multi-Modal Prompt Learning for Continual Visual Question Answering. Zi Qian, Xin Wang, Xuguang Duan, Pengda Qin, Yuhong Li, Wenwu Zhu |
| 2023 | Decoupled DETR: Spatially Disentangling Localization and Classification for Improved End-to-End Object Detection. Manyuan Zhang, Guanglu Song, Yu Liu, Hongsheng Li |
| 2023 | Decoupled Iterative Refinement Framework for Interacting Hands Reconstruction from a Single RGB Image. Pengfei Ren, Chao Wen, Xiaozheng Zheng, Zhou Xue, Haifeng Sun, Qi Qi, Jingyu Wang, Jianxin Liao |
| 2023 | DeePoint: Visual Pointing Recognition and Direction Estimation. Shu Nakamura, Yasutomo Kawanishi, Shohei Nobuhara, Ko Nishino |
| 2023 | Deep Active Contours for Real-time 6-DoF Object Tracking. Long Wang, Shen Yan, Jianan Zhen, Yu Liu, Maojun Zhang, Guofeng Zhang, Xiaowei Zhou |
| 2023 | Deep Directly-Trained Spiking Neural Networks for Object Detection. Qiaoyi Su, Yuhong Chou, Yifan Hu, Jianing Li, Shijie Mei, Ziyang Zhang, Guoqi Li |
| 2023 | Deep Equilibrium Object Detection. Shuai Wang, Yao Teng, Limin Wang |
| 2023 | Deep Feature Deblurring Diffusion for Detecting Out-of-Distribution Objects. Aming Wu, Da Chen, Cheng Deng |
| 2023 | Deep Fusion Transformer Network with Weighted Vector-Wise Keypoints Voting for Robust 6D Object Pose Estimation. Jun Zhou, Kai Chen, Linlin Xu, Qi Dou, Jing Qin |
| 2023 | Deep Geometrized Cartoon Line Inbetweening. Li Siyao, Tianpei Gu, Weiye Xiao, Henghui Ding, Ziwei Liu, Chen Change Loy |
| 2023 | Deep Homography Mixture for Single Image Rolling Shutter Correction. Weilong Yan, Robby T. Tan, Bing Zeng, Shuaicheng Liu |
| 2023 | Deep Image Harmonization with Globally Guided Feature Transformation and Relation Distillation. Li Niu, Linfeng Tan, Xinhao Tao, Junyan Cao, Fengjun Guo, Teng Long, Liqing Zhang |
| 2023 | Deep Image Harmonization with Learnable Augmentation. Li Niu, Junyan Cao, Wenyan Cong, Liqing Zhang |
| 2023 | Deep Incubation: Training Large Models by Divide-and-Conquering. Zanlin Ni, Yulin Wang, Jiangwei Yu, Haojun Jiang, Yue Cao, Gao Huang |
| 2023 | Deep Multitask Learning with Progressive Parameter Sharing. Haosen Shi, Shen Ren, Tianwei Zhang, Sinno Jialin Pan |
| 2023 | Deep Multiview Clustering by Contrasting Cluster Assignments. Jie Chen, Hua Mao, Wai Lok Woo, Xi Peng |
| 2023 | Deep Optics for Video Snapshot Compressive Imaging. Ping Wang, Lishun Wang, Xin Yuan |
| 2023 | Deep Video Demoiréing via Compact Invertible Dyadic Decomposition. Yuhui Quan, Haoran Huang, Shengfeng He, Ruotao Xu |
| 2023 | Deep geometry-aware camera self-calibration from video. Annika Hagemann, Moritz Knorr, Christoph Stiller |
| 2023 | DeepChange: A Long-Term Person Re-Identification Benchmark with Clothes Change. Peng Xu, Xiatian Zhu |
| 2023 | DeformToon3d: Deformable Neural Radiance Fields for 3D Toonification. Junzhe Zhang, Yushi Lan, Shuai Yang, Fangzhou Hong, Quan Wang, Chai Kiat Yeo, Ziwei Liu, Chen Change Loy |
| 2023 | Deformable Model-Driven Neural Rendering for High-Fidelity 3D Reconstruction of Human Heads Under Low-View Settings. Baixin Xu, Jiarui Zhang, Kwan-Yee Lin, Chen Qian, Ying He |
| 2023 | Deformable Neural Radiance Fields using RGB and Event Cameras. Qi Ma, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool |
| 2023 | Deformer: Dynamic Fusion Transformer for Robust Hand Pose Estimation. Qichen Fu, Xingyu Liu, Ran Xu, Juan Carlos Niebles, Kris M. Kitani |
| 2023 | Degradation-Resistant Unfolding Network for Heterogeneous Image Fusion. Chunming He, Kai Li, Guoxia Xu, Yulun Zhang, Runze Hu, Zhenhua Guo, Xiu Li |
| 2023 | Delicate Textured Mesh Recovery from NeRF via Adaptive Surface Refinement. Jiaxiang Tang, Hang Zhou, Xiaokang Chen, Tianshu Hu, Errui Ding, Jingdong Wang, Gang Zeng |
| 2023 | Delta Denoising Score. Amir Hertz, Kfir Aberman, Daniel Cohen-Or |
| 2023 | Delving into Motion-Aware Matching for Monocular 3D Object Tracking. Kuan-Chih Huang, Ming-Hsuan Yang, Yi-Hsuan Tsai |
| 2023 | Democratising 2D Sketch to 3D Shape Retrieval Through Pivoting. Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Aneeshan Sain, Subhadeep Koley, Tao Xiang, Yi-Zhe Song |
| 2023 | Denoising Diffusion Autoencoders are Unified Self-supervised Learners. Weilai Xiang, Hongyu Yang, Di Huang, Yunhong Wang |
| 2023 | Dense 2D-3D Indoor Prediction with Sound via Aligned Cross-Modal Distillation. Heeseung Yun, Joonil Na, Gunhee Kim |
| 2023 | Dense Text-to-Image Generation with Attention Modulation. Yunji Kim, Jiyoung Lee, Jin-Hwa Kim, Jung-Woo Ha, Jun-Yan Zhu |
| 2023 | DenseShift : Towards Accurate and Efficient Low-Bit Power-of-Two Quantization. Xinlin Li, Bang Liu, Rui Heng Yang, Vanessa Courville, Chao Xing, Vahid Partovi Nia |
| 2023 | Density-invariant Features for Distant Point Cloud Registration. Quan Liu, Hongzi Zhu, Yunsong Zhou, Hongyang Li, Shan Chang, Minyi Guo |
| 2023 | Designing Phase Masks for Under-Display Cameras. Anqi Yang, Eunhee Kang, Hyong-Euk Lee, Aswin C. Sankaranarayanan |
| 2023 | DetZero: Rethinking Offboard 3D Object Detection with Long-term Sequential Point Clouds. Tao Ma, Xuemeng Yang, Hongbin Zhou, Xin Li, Botian Shi, Junjie Liu, Yuchen Yang, Zhizheng Liu, Liang He, Yu Qiao, Yikang Li, Hongsheng Li |
| 2023 | Detecting Objects with Context-Likelihood Graphs and Graph Refinement. Aritra Bhowmik, Yu Wang, Nora Baka, Martin R. Oswald, Cees G. M. Snoek |
| 2023 | Detection Transformer with Stable Matching. Shilong Liu, Tianhe Ren, Jiayu Chen, Zhaoyang Zeng, Hao Zhang, Feng Li, Hongyang Li, Jun Huang, Hang Su, Jun Zhu, Lei Zhang |
| 2023 | DetermiNet: A Large-Scale Diagnostic Dataset for Complex Visually-Grounded Referencing using Determiners. Clarence Lee, M. Ganesh Kumar, Cheston Tan |
| 2023 | DiFaReli: Diffusion Face Relighting. Puntawat Ponglertnapakorn, Nontawat Tritrong, Supasorn Suwajanakorn |
| 2023 | DiLiGenT-Π: Photometric Stereo for Planar Surfaces with Rich Details - Benchmark Dataset and Beyond. Feishi Wang, Jieji Ren, Heng Guo, Mingjun Ren, Boxin Shi |
| 2023 | Diff-Retinex: Rethinking Low-light Image Enhancement with A Generative Diffusion Model. Xunpeng Yi, Han Xu, Hao Zhang, Linfeng Tang, Jiayi Ma |
| 2023 | DiffCloth: Diffusion Based Garment Synthesis and Manipulation via Structural Cross-modal Semantic Alignment. Xujie Zhang, Binbin Yang, Michael C. Kampffmeyer, Wenqing Zhang, Shiyue Zhang, Guansong Lu, Liang Lin, Hang Xu, Xiaodan Liang |
| 2023 | DiffDis: Empowering Generative Diffusion Model with Cross-Modal Discrimination Capability. Runhui Huang, Jianhua Han, Guansong Lu, Xiaodan Liang, Yihan Zeng, Wei Zhang, Hang Xu |
| 2023 | DiffDreamer: Towards Consistent Unsupervised Single-view Scene Extrapolation with Conditional Diffusion Models. Shengqu Cai, Eric Ryan Chan, Songyou Peng, Mohamad Shahbazi, Anton Obukhov, Luc Van Gool, Gordon Wetzstein |
| 2023 | DiffFacto: Controllable Part-Based 3D Point Cloud Generation with Cross Diffusion. George Kiyohiro Nakayama, Mikaela Angelina Uy, Jiahui Huang, Shi-Min Hu, Ke Li, Leonidas J. Guibas |
| 2023 | DiffFit: Unlocking Transferability of Large Diffusion Models via Simple Parameter-Efficient Fine-Tuning. Enze Xie, Lewei Yao, Han Shi, Zhili Liu, Daquan Zhou, Zhaoqiang Liu, Jiawei Li, Zhenguo Li |
| 2023 | DiffGuard: Semantic Mismatch-Guided Out-of-Distribution Detection using Pre-trained Diffusion Models. Ruiyuan Gao, Chenchen Zhao, Lanqing Hong, Qiang Xu |
| 2023 | DiffIR: Efficient Diffusion Model for Image Restoration. Bin Xia, Yulun Zhang, Shiyin Wang, Yitong Wang, Xinglong Wu, Yapeng Tian, Wenming Yang, Luc Van Gool |
| 2023 | DiffPose: Multi-hypothesis Human Pose Estimation using Diffusion Models. Karl Holmquist, Bastian Wandt |
| 2023 | DiffPose: SpatioTemporal Diffusion Model for Video-Based Human Pose Estimation. Runyang Feng, Yixing Gao, Tze Ho Elden Tse, Xueqing Ma, Hyung Jin Chang |
| 2023 | DiffRate : Differentiable Compression Rate for Efficient Vision Transformers. Mengzhao Chen, Wenqi Shao, Peng Xu, Mingbao Lin, Kaipeng Zhang, Fei Chao, Rongrong Ji, Yu Qiao, Ping Luo |
| 2023 | DiffTAD: Temporal Action Detection with Proposal Denoising Diffusion. Sauradip Nag, Xiatian Zhu, Jiankang Deng, Yi-Zhe Song, Tao Xiang |
| 2023 | DiffV2S: Diffusion-based Video-to-Speech Synthesis with Vision-guided Speaker Embedding. Jeongsoo Choi, Joanna Hong, Yong Man Ro |
| 2023 | Differentiable Transportation Pruning. Yunqiang Li, Jan C. van Gemert, Torsten Hoefler, Bert Moons, Evangelos Eleftheriou, Bram-Ernst Verhoef |
| 2023 | DiffuMask: Synthesizing Images with Pixel-level Annotations for Semantic Segmentation Using Diffusion Models. Weijia Wu, Yuzhong Zhao, Mike Zheng Shou, Hong Zhou, Chunhua Shen |
| 2023 | Diffuse3D: Wide-Angle 3D Photography via Bilateral Diffusion. Yutao Jiang, Yang Zhou, Yuan Liang, Wenxi Liu, Jianbo Jiao, Yuhui Quan, Shengfeng He |
| 2023 | Diffusion Action Segmentation. Daochang Liu, Qiyue Li, Anh-Dung Dinh, Tingting Jiang, Mubarak Shah, Chang Xu |
| 2023 | Diffusion Model as Representation Learner. Xingyi Yang, Xinchao Wang |
| 2023 | Diffusion Models as Masked Autoencoders. Chen Wei, Karttikeya Mangalam, Po-Yao Huang, Yanghao Li, Haoqi Fan, Hu Xu, Huiyu Wang, Cihang Xie, Alan L. Yuille, Christoph Feichtenhofer |
| 2023 | Diffusion in Style. Martin Nicolas Everaert, Marco Bocchio, Sami Arpa, Sabine Süsstrunk, Radhakrishna Achanta |
| 2023 | Diffusion-Based 3D Human Pose Estimation with Multi-Hypothesis Aggregation. Wenkang Shan, Zhenhua Liu, Xinfeng Zhang, Zhao Wang, Kai Han, Shanshe Wang, Siwei Ma, Wen Gao |
| 2023 | Diffusion-Guided Reconstruction of Everyday Hand-Object Interaction Clips. Yufei Ye, Poorvi Hebbar, Abhinav Gupta, Shubham Tulsiani |
| 2023 | Diffusion-SDF: Conditional Generative Modeling of Signed Distance Functions. Gene Chou, Yuval Bahat, Felix Heide |
| 2023 | Diffusion-based Image Translation with Label Guidance for Domain Adaptive Semantic Segmentation. Duo Peng, Ping Hu, Qiuhong Ke, Jun Liu |
| 2023 | DiffusionDet: Diffusion Model for Object Detection. Shoufa Chen, Peize Sun, Yibing Song, Ping Luo |
| 2023 | DiffusionRet: Generative Text-Video Retrieval with Diffusion Model. Peng Jin, Hao Li, Zesen Cheng, Kehan Li, Xiangyang Ji, Chang Liu, Li Yuan, Jie Chen |
| 2023 | Discovering Spatio-Temporal Rationales for Video Question Answering. Yicong Li, Junbin Xiao, Chun Feng, Xiang Wang, Tat-Seng Chua |
| 2023 | Discrepant and Multi-instance Proxies for Unsupervised Person Re-identification. Chang Zou, Zeqi Chen, Zhichao Cui, Yuehu Liu, Chi Zhang |
| 2023 | Discriminative Class Tokens for Text-to-Image Diffusion Models. Idan Schwartz, Vésteinn Snæbjarnarson, Hila Chefer, Serge J. Belongie, Lior Wolf, Sagie Benaim |
| 2023 | Disentangle then Parse: Night-time Semantic Segmentation with Illumination Disentanglement. Zhixiang Wei, Lin Chen, Tao Tu, Pengyang Ling, Huaian Chen, Yi Jin |
| 2023 | Disentangling Spatial and Temporal Learning for Efficient Image-to-Video Transfer Learning. Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yingya Zhang, Changxin Gao, Deli Zhao, Nong Sang |
| 2023 | Disposable Transfer Learning for Selective Source Task Unlearning. Seunghee Koh, Hyounguk Shon, Janghyeon Lee, Hyeong Gwon Hong, Junmo Kim |
| 2023 | DistillBEV: Boosting Multi-Camera 3D Object Detection with Cross-Modal Knowledge Distillation. Zeyu Wang, Dingwen Li, Chenxu Luo, Cihang Xie, Xiaodong Yang |
| 2023 | Distilled Reverse Attention Network for Open-world Compositional Zero-Shot Learning. Yun Li, Zhe Liu, Saurav Jha, Lina Yao |
| 2023 | Distilling Coarse-to-Fine Semantic Matching Knowledge for Weakly Supervised 3D Visual Grounding. Zehan Wang, Haifeng Huang, Yang Zhao, Linjun Li, Xize Cheng, Yichen Zhu, Aoxiong Yin, Zhou Zhao |
| 2023 | Distilling DETR with Visual-Linguistic Knowledge for Open-Vocabulary Object Detection. Liangqi Li, Jiaxu Miao, Dahu Shi, Wenming Tan, Ye Ren, Yi Yang, Shiliang Pu |
| 2023 | Distilling Large Vision-Language Model with Out-of-Distribution Generalizability. Xuanlin Li, Yunhao Fang, Minghua Liu, Zhan Ling, Zhuowen Tu, Hao Su |
| 2023 | Distilling from Similar Tasks for Transfer Learning on a Budget. Kenneth Borup, Cheng Perng Phoo, Bharath Hariharan |
| 2023 | Distracting Downpour: Adversarial Weather Attacks for Motion Estimation. Jenny Schmalfuss, Lukas Mehl, Andrés Bruhn |
| 2023 | Distributed bundle adjustment with block-based sparse matrix compression for super large scale datasets. Maoteng Zheng, Nengcheng Chen, Junfeng Zhu, Xiaoru Zeng, Huanbin Qiu, Yuyao Jiang, Xingyue Lu, Hao Qu |
| 2023 | Distribution Shift Matters for Knowledge Distillation with Webly Collected Images. Jialiang Tang, Shuo Chen, Gang Niu, Masashi Sugiyama, Chen Gong |
| 2023 | Distribution-Aligned Diffusion for Human Mesh Recovery. Lin Geng Foo, Jia Gong, Hossein Rahmani, Jun Liu |
| 2023 | Distribution-Aware Prompt Tuning for Vision-Language Models. Eulrang Cho, Jooyeon Kim, Hyunwoo J. Kim |
| 2023 | Distribution-Consistent Modal Recovering for Incomplete Multimodal Learning. Yuanzhi Wang, Zhen Cui, Yong Li |
| 2023 | Diverse Cotraining Makes Strong Semi-Supervised Segmentor. Yijiang Li, Xinjiang Wang, Lihe Yang, Litong Feng, Wayne Zhang, Ying Gao |
| 2023 | Diverse Data Augmentation with Diffusions for Effective Test-time Prompt Tuning. Chun-Mei Feng, Kai Yu, Yong Liu, Salman Khan, Wangmeng Zuo |
| 2023 | Diverse Inpainting and Editing with GAN Inversion. Ahmet Burak Yildirim, Hamza Pehlivan, Bahri Batuhan Bilecen, Aysegul Dundar |
| 2023 | Divide and Conquer: 3D Point Cloud Instance Segmentation With Point-Wise Binarization. Weiguang Zhao, Yuyao Yan, Chaolong Yang, Jianan Ye, Xi Yang, Kaizhu Huang |
| 2023 | Divide and Conquer: a Two-Step Method for High Quality Face De-identification with Model Explainability. Yunqian Wen, Bo Liu, Jingyi Cao, Rong Xie, Li Song |
| 2023 | Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition. Gabriele Trivigno, Gabriele Moreno Berton, Juan Aragon, Barbara Caputo, Carlo Masone |
| 2023 | Do DALL-E and Flamingo Understand Each Other? Hang Li, Jindong Gu, Rajat Koner, Sahand Sharifzadeh, Volker Tresp |
| 2023 | DocTr: Document Transformer for Structured Information Extraction in Documents. Haofu Liao, Aruni RoyChowdhury, Weijian Li, Ankan Bansal, Yuting Zhang, Zhuowen Tu, Ravi Kumar Satzoda, R. Manmatha, Vijay Mahadevan |
| 2023 | Document Understanding Dataset and Evaluation (DUDE). Jordy Van Landeghem, Rafal Powalski, Rubèn Tito, Dawid Jurkiewicz, Matthew B. Blaschko, Lukasz Borchmann, Mickaël Coustaty, Sien Moens, Michal Pietruszka, Bertrand Anckaert, Tomasz Stanislawek, Pawel Józiak, Ernest Valveny |
| 2023 | Does Physical Adversarial Example Really Matter to Autonomous Driving? Towards System-Level Effect of Adversarial Object Evasion Attack. Ningfei Wang, Yunpeng Luo, Takami Sato, Kaidi Xu, Qi Alfred Chen |
| 2023 | Domain Adaptive Few-Shot Open-Set Learning. Debabrata Pal, Deeptej More, Sai Bhargav, Dipesh Tamboli, Vaneet Aggarwal, Biplab Banerjee |
| 2023 | Domain Generalization Guided by Gradient Signal to Noise Ratio of Parameters. Mateusz Michalkiewicz, Masoud Faraki, Xiang Yu, Manmohan Chandraker, Mahsa Baktashmotlagh |
| 2023 | Domain Generalization via Balancing Training Difficulty and Model Capability. Xueying Jiang, Jiaxing Huang, Sheng Jin, Shijian Lu |
| 2023 | Domain Generalization via Rationale Invariance. Liang Chen, Yong Zhang, Yibing Song, Anton van den Hengel, Lingqiao Liu |
| 2023 | Domain Specified Optimization for Deployment Authorization. Haotian Wang, Haoang Chi, Wenjing Yang, Zhipeng Lin, Mingyang Geng, Long Lan, Jing Zhang, Dacheng Tao |
| 2023 | Domain generalization of 3D semantic segmentation in autonomous driving. Jules Sanchez, Jean-Emmanuel Deschaud, François Goulette |
| 2023 | Domain-Specificity Inducing Transformers for Source-Free Domain Adaptation. Sunandini Sanyal, Ashish Ramayee Asokan, Suvaansh Bhambri, Akshay R. Kulkarni, Jogendra Nath Kundu, R. Venkatesh Babu |
| 2023 | DomainAdaptor: A Novel Approach to Test-time Adaptation. Jian Zhang, Lei Qi, Yinghuan Shi, Yang Gao |
| 2023 | DomainDrop: Suppressing Domain-Sensitive Channels for Domain Generalization. Jintao Guo, Lei Qi, Yinghuan Shi |
| 2023 | Doppelgangers: Learning to Disambiguate Images of Similar Structures. Ruojin Cai, Joseph Tung, Qianqian Wang, Hadar Averbuch-Elor, Bharath Hariharan, Noah Snavely |
| 2023 | Downscaled Representation Matters: Improving Image Rescaling with Collaborative Downscaled Images. Bingna Xu, Yong Guo, Luoqian Jiang, Mianjie Yu, Jian Chen |
| 2023 | Downstream-agnostic Adversarial Examples. Ziqi Zhou, Shengshan Hu, Ruizhi Zhao, Qian Wang, Leo Yu Zhang, Junhui Hou, Hai Jin |
| 2023 | DreamBooth3D: Subject-Driven Text-to-3D Generation. Amit Raj, Srinivas Kaza, Ben Poole, Michael Niemeyer, Nataniel Ruiz, Ben Mildenhall, Shiran Zada, Kfir Aberman, Michael Rubinstein, Jonathan T. Barron, Yuanzhen Li, Varun Jampani |
| 2023 | DreamPose: Fashion Image-to-Video Synthesis via Stable Diffusion. Johanna Suvi Karras, Aleksander Holynski, Ting-Chun Wang, Ira Kemelmacher-Shlizerman |
| 2023 | DreamTeacher: Pretraining Image Backbones with Deep Generative Models. Daiqing Li, Huan Ling, Amlan Kar, David Acuna, Seung Wook Kim, Karsten Kreis, Antonio Torralba, Sanja Fidler |
| 2023 | Dreamwalker: Mental Planning for Continuous Vision-Language Navigation. Hanqing Wang, Wei Liang, Luc Van Gool, Wenguan Wang |
| 2023 | DriveAdapter: Breaking the Coupling Barrier of Perception and Planning in End-to-End Autonomous Driving. Xiaosong Jia, Yulu Gao, Li Chen, Junchi Yan, Patrick Langechuan Liu, Hongyang Li |
| 2023 | Dual Aggregation Transformer for Image Super-Resolution. Zheng Chen, Yulun Zhang, Jinjin Gu, Linghe Kong, Xiaokang Yang, Fisher Yu |
| 2023 | Dual Learning with Dynamic Knowledge Distillation for Partially Relevant Video Retrieval. Jianfeng Dong, Minsong Zhang, Zheng Zhang, Xianke Chen, Daizong Liu, Xiaoye Qu, Xun Wang, Baolong Liu |
| 2023 | Dual Meta-Learning with Longitudinally Generalized Regularization for One-Shot Brain Tissue Segmentation Across the Human Lifespan. Yongheng Sun, Fan Wang, Jun Shu, Haifeng Wang, Li Wang, Deyu Meng, Chunfeng Lian |
| 2023 | Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification. Jiangming Shi, Yachao Zhang, Xiangbo Yin, Yuan Xie, Zhizhong Zhang, Jianping Fan, Zhongchao Shi, Yanyun Qu |
| 2023 | DyGait: Exploiting Dynamic Representations for High-performance Gait Recognition. Ming Wang, Xianda Guo, Beibei Lin, Tian Yang, Zheng Zhu, Lincheng Li, Shunli Zhang, Xin Yu |
| 2023 | DynaMITe: Dynamic Query Bootstrapping for Multi-object Interactive Segmentation Transformer. Amit Kumar Rana, Sabarinath Mahadevan, Alexander Hermans, Bastian Leibe |
| 2023 | Dynamic Hyperbolic Attention Network for Fine Hand-object Reconstruction. Zhiying Leng, Shun-Cheng Wu, Mahdi Saleh, Antonio Montanaro, Hao Yu, Yin Wang, Nassir Navab, Xiaohui Liang, Federico Tombari |
| 2023 | Dynamic Mesh Recovery from Partial Point Cloud Sequence. Hojun Jang, Minkwan Kim, Jinseok Bae, Young Min Kim |
| 2023 | Dynamic Mesh-Aware Radiance Fields. Yi-Ling Qiao, Alexander Gao, Yiran Xu, Yue Feng, Jia-Bin Huang, Ming C. Lin |
| 2023 | Dynamic Perceiver for Efficient Visual Recognition. Yizeng Han, Dongchen Han, Zeyu Liu, Yulin Wang, Xuran Pan, Yifan Pu, Chao Deng, Junlan Feng, Shiji Song, Gao Huang |
| 2023 | Dynamic PlenOctree for Adaptive Sampling Refinement in Explicit NeRF. Haotian Bai, Yiqi Lin, Yize Chen, Lin Wang |
| 2023 | Dynamic Point Fields. Sergey Prokudin, Qianli Ma, Maxime Raafat, Julien Valentin, Siyu Tang |
| 2023 | Dynamic Residual Classifier for Class Incremental Learning. Xiuwei Chen, Xiaobin Chang |
| 2023 | Dynamic Snake Convolution based on Topological Geometric Constraints for Tubular Structure Segmentation. Yaolei Qi, Yuting He, Xiaoming Qi, Yuan Zhang, Guanyu Yang |
| 2023 | Dynamic Token Pruning in Plain Vision Transformers for Semantic Segmentation. Quan Tang, Bowen Zhang, Jiajun Liu, Fagui Liu, Yifan Liu |
| 2023 | DynamicISP: Dynamically Controlled Image Signal Processor for Image Recognition. Masakazu Yoshimura, Junji Otsuka, Atsushi Irie, Takeshi Ohashi |
| 2023 | E Cheng Han, Qifan Wang, Yiming Cui, Zhiwen Cao, Wenguan Wang, Siyuan Qi, Dongfang Liu |
| 2023 | E Yunshan Qi, Lin Zhu, Yu Zhang, Jia Li |
| 2023 | E2E-LOAD: End-to-End Long-form Online Action Detection. Shuqiang Cao, Weixin Luo, Bairui Wang, Wei Zhang, Lin Ma |
| 2023 | E3Sym: Leveraging E(3) Invariance for Unsupervised 3D Planar Reflective Symmetry Detection. Ren-Wu Li, Ling-Xiao Zhang, Chunpeng Li, Yu-Kun Lai, Lin Gao |
| 2023 | EDAPS: Enhanced Domain-Adaptive Panoptic Segmentation. Suman Saha, Lukas Hoyer, Anton Obukhov, Dengxin Dai, Luc Van Gool |
| 2023 | EGC: Image Generation and Classification via a Diffusion Energy-Based Model. Qiushan Guo, Chuofan Ma, Yi Jiang, Zehuan Yuan, Yizhou Yu, Ping Luo |
| 2023 | EGformer: Equirectangular Geometry-biased Transformer for 360 Depth Estimation. Ilwi Yun, Chanyong Shin, Hyunku Lee, Hyuk-Jae Lee, Chae-Eun Rhee |
| 2023 | ELFNet: Evidential Local-global Fusion for Stereo Matching. Jieming Lou, Weide Liu, Zhuo Chen, Fayao Liu, Jun Cheng |
| 2023 | ELITE: Encoding Visual Concepts into Textual Embeddings for Customized Text-to-Image Generation. Yuxiang Wei, Yabo Zhang, Zhilong Ji, Jinfeng Bai, Lei Zhang, Wangmeng Zuo |
| 2023 | EMDB: The Electromagnetic Database of Global 3D Human Pose and Shape in the Wild. Manuel Kaufmann, Jie Song, Chen Guo, Kaiyue Shen, Tianjian Jiang, Chengcheng Tang, Juan José Zarate, Otmar Hilliges |
| 2023 | EMMN: Emotional Motion Memory Network for Audio-driven Emotional Talking Face Generation. Shuai Tan, Bin Ji, Ye Pan |
| 2023 | EMQ: Evolving Training-free Proxies for Automated Mixed Precision Quantization. Peijie Dong, Lujun Li, Zimian Wei, Xin Niu, Zhiliang Tian, Hengyue Pan |
| 2023 | EMR-MSF: Self-Supervised Recurrent Monocular Scene Flow Exploiting Ego-Motion Rigidity. Zijie Jiang, Masatoshi Okutomi |
| 2023 | ENTL: Embodied Navigation Trajectory Learner. Klemen Kotar, Aaron Walsman, Roozbeh Mottaghi |
| 2023 | ENVIDR: Implicit Differentiable Renderer with Neural Environment Lighting. Ruofan Liang, Huiting Chen, Chunlin Li, Fan Chen, Selvakumar Panneer, Nandita Vijaykumar |
| 2023 | EP2P-Loc: End-to-End 3D Point to 2D Pixel Localization for Large-Scale Visual Localization. Minjung Kim, Junseo Koo, Gunhee Kim |
| 2023 | EPiC: Ensemble of Partial Point Clouds for Robust Classification. Meir Yossef Levi, Guy Gilboa |
| 2023 | EQ-Net: Elastic Quantization Neural Networks. Ke Xu, Lei Han, Ye Tian, Shangshang Yang, Xingyi Zhang |
| 2023 | ESSAformer: Efficient Transformer for Hyperspectral Image Super-resolution. Mingjin Zhang, Chi Zhang, Qiming Zhang, Jie Guo, Xinbo Gao, Jing Zhang |
| 2023 | ESTextSpotter: Towards Better Scene Text Spotting with Explicit Synergy in Transformer. Mingxin Huang, Jiaxin Zhang, Dezhi Peng, Hao Lu, Can Huang, Yuliang Liu, Xiang Bai, Lianwen Jin |
| 2023 | ETran: Energy-Based Transferability Estimation. Mohsen Gholami, Mohammad Akbari, Xinglu Wang, Behnam Kamranian, Yong Zhang |
| 2023 | EdaDet: Open-Vocabulary Object Detection Using Early Dense Alignment. Cheng Shi, Sibei Yang |
| 2023 | Editable Image Geometric Abstraction via Neural Primitive Assembly. Ye Chen, Bingbing Ni, Xuanhong Chen, Zhangli Hu |
| 2023 | Editing Implicit Assumptions in Text-to-Image Diffusion Models. Hadas Orgad, Bahjat Kawar, Yonatan Belinkov |
| 2023 | Effective Real Image Editing with Accelerated Iterative Diffusion Inversion. Zhihong Pan, Riccardo Gherardi, Xiufeng Xie, Stephen Huang |
| 2023 | Efficient 3D Semantic Segmentation with Superpoint Transformer. Damien Robert, Hugo Raguet, Loïc Landrieu |
| 2023 | Efficient Adaptive Human-Object Interaction Detection with Concept-guided Memory. Ting Lei, Fabian Caba, Qingchao Chen, Hailin Jin, Yuxin Peng, Yang Liu |
| 2023 | Efficient Computation Sharing for Multi-Task Visual Scene Understanding. Sara Shoouri, Mingyu Yang, Zichen Fan, Hun-Seok Kim |
| 2023 | Efficient Controllable Multi-Task Architectures. Abhishek Aich, Samuel Schulter, Amit K. Roy-Chowdhury, Manmohan Chandraker, Yumin Suh |
| 2023 | Efficient Converted Spiking Neural Network for 3D and 2D Classification. Yuxiang Lan, Yachao Zhang, Xu Ma, Yanyun Qu, Yun Fu |
| 2023 | Efficient Decision-based Black-box Patch Attacks on Video Recognition. Kaixun Jiang, Zhaoyu Chen, Hao Huang, Jiafeng Wang, Dingkang Yang, Bo Li, Yan Wang, Wenqiang Zhang |
| 2023 | Efficient Deep Space Filling Curve. Wanli Chen, Xufeng Yao, Xinyun Zhang, Bei Yu |
| 2023 | Efficient Diffusion Training via Min-SNR Weighting Strategy. Tiankai Hang, Shuyang Gu, Chen Li, Jianmin Bao, Dong Chen, Han Hu, Xin Geng, Baining Guo |
| 2023 | Efficient Discovery and Effective Evaluation of Visual Perceptual Similarity: A Benchmark and Beyond. Oren Barkan, Tal Reiss, Jonathan Weill, Ori Katz, Roy Hirsch, Itzik Malkiel, Noam Koenigstein |
| 2023 | Efficient Emotional Adaptation for Audio-Driven Talking-Head Generation. Yuan Gan, Zongxin Yang, Xihang Yue, Lingyun Sun, Yi Yang |
| 2023 | Efficient Joint Optimization of Layer-Adaptive Weight Pruning in Deep Neural Networks. Kaixin Xu, Zhe Wang, Xue Geng, Min Wu, Xiaoli Li, Weisi Lin |
| 2023 | Efficient LiDAR Point Cloud Oversegmentation Network. Le Hui, Linghua Tang, Yuchao Dai, Jin Xie, Jian Yang |
| 2023 | Efficient Model Personalization in Federated Learning via Client-Specific Prompt Generation. Fu-En Yang, Chien-Yi Wang, Yu-Chiang Frank Wang |
| 2023 | Efficient Region-Aware Neural Radiance Fields for High-Fidelity Talking Portrait Synthesis. Jiahe Li, Jiawei Zhang, Xiao Bai, Jun Zhou, Lin Gu |
| 2023 | Efficient Transformer-based 3D Object Detection with Dynamic Token Halting. Mao Ye, Gregory P. Meyer, Yuning Chai, Qiang Liu |
| 2023 | Efficient Unified Demosaicing for Bayer and Non-Bayer Patterned Image Sensors. Haechang Lee, Dongwon Park, Wongi Jeong, Kijeong Kim, Hyunwoo Je, Dongil Ryu, Se Young Chun |
| 2023 | Efficient Video Action Detection with Token Dropout and Context Refinement. Lei Chen, Zhan Tong, Yibing Song, Gangshan Wu, Limin Wang |
| 2023 | Efficient Video Prediction via Sparsely Conditioned Flow Matching. Aram Davtyan, Sepehr Sameni, Paolo Favaro |
| 2023 | Efficient View Synthesis with Neural Radiance Distribution Field. Yushuang Wu, Xiao Li, Jinglu Wang, Xiaoguang Han, Shuguang Cui, Yan Lu |
| 2023 | Efficient neural supersampling on a novel gaming dataset. Antoine Mercier, Ruan Erasmus, Yashesh Savani, Manik Dhingra, Fatih Porikli, Guillaume Berger |
| 2023 | Efficient-VQGAN: Towards High-Resolution Image Generation with Efficient Vision Transformers. Shiyue Cao, Yueqin Yin, Lianghua Huang, Yu Liu, Xin Zhao, Deli Zhao, Kaiqi Huang |
| 2023 | EfficientTrain: Exploring Generalized Curriculum Learning for Training Visual Backbones. Yulin Wang, Yang Yue, Rui Lu, Tianjiao Liu, Zhao Zhong, Shiji Song, Gao Huang |
| 2023 | EfficientViT: Lightweight Multi-Scale Attention for High-Resolution Dense Prediction. Han Cai, Junyan Li, Muyan Hu, Chuang Gan, Song Han |
| 2023 | Efficiently Robustify Pre-Trained Models. Nishant Jain, Harkirat S. Behl, Yogesh Singh Rawat, Vibhav Vineet |
| 2023 | Ego-Only: Egocentric Action Detection without Exocentric Transferring. Huiyu Wang, Mitesh Kumar Singh, Lorenzo Torresani |
| 2023 | EgoHumans: An Egocentric 3D Multi-Human Benchmark. Rawal Khirodkar, Aayush Bansal, Lingni Ma, Richard A. Newcombe, Minh Vo, Kris Kitani |
| 2023 | EgoLoc: Revisiting 3D Object Localization from Egocentric Videos with Visual Queries. Jinjie Mai, Abdullah Hamdi, Silvio Giancola, Chen Zhao, Bernard Ghanem |
| 2023 | EgoObjects: A Large-Scale Egocentric Dataset for Fine-Grained Object Understanding. Chenchen Zhu, Fanyi Xiao, Andres Alvarado, Yasmine Babaei, Jiabo Hu, Hichem El-Mohri, Sean Chang Culatana, Roshan Sumbaly, Zhicheng Yan |
| 2023 | EgoPCA: A New Framework for Egocentric Hand-Object Interaction Understanding. Yue Xu, Yong-Lu Li, Zhemin Huang, Michael Xu Liu, Cewu Lu, Yu-Wing Tai, Chi-Keung Tang |
| 2023 | EgoTV: Egocentric Task Verification from Natural Language Task Descriptions. Rishi Hazra, Brian Chen, Akshara Rai, Nitin Kamra, Ruta Desai |
| 2023 | EgoVLPv2: Egocentric Video-Language Pre-training with Fusion in the Backbone. Shraman Pramanick, Yale Song, Sayan Nag, Kevin Qinghong Lin, Hardik Shah, Mike Zheng Shou, Rama Chellappa, Pengchuan Zhang |
| 2023 | EigenPlaces: Training Viewpoint Robust Models for Visual Place Recognition. Gabriele Moreno Berton, Gabriele Trivigno, Barbara Caputo, Carlo Masone |
| 2023 | EigenTrajectory: Low-Rank Descriptors for Multi-Modal Trajectory Forecasting. Inhwan Bae, Jean Oh, Hae-Gon Jeon |
| 2023 | ElasticViT: Conflict-aware Supernet Training for Deploying Fast Vision Transformer on Diverse Mobile Devices. Chen Tang, Li Lyna Zhang, Huiqiang Jiang, Jiahang Xu, Ting Cao, Quanlu Zhang, Yuqing Yang, Zhi Wang, Mao Yang |
| 2023 | EmoSet: A Large-scale Visual Emotion Dataset with Rich Attributes. Jingyuan Yang, Qirui Huang, Tingting Ding, Dani Lischinski, Daniel Cohen-Or, Hui Huang |
| 2023 | EmoTalk: Speech-Driven Emotional Disentanglement for 3D Face Animation. Ziqiao Peng, Haoyu Wu, Zhenbo Song, Hao Xu, Xiangyu Zhu, Jun He, Hongyan Liu, Zhaoxin Fan |
| 2023 | Emotional Listener Portrait: Realistic Listener Motion Simulation in Conversation. Luchuan Song, Guojun Yin, Zhenchao Jin, Xiaoyi Dong, Chenliang Xu |
| 2023 | Empowering Low-Light Image Enhancer through Customized Learnable Priors. Naishan Zheng, Man Zhou, Yanmeng Dong, Xiangyu Rui, Jie Huang, Chongyi Li, Feng Zhao |
| 2023 | Encyclopedic VQA: Visual questions about detailed properties of fine-grained categories. Thomas Mensink, Jasper R. R. Uijlings, Lluís Castrejón, Arushi Goel, Felipe Cadar, Howard Zhou, Fei Sha, André Araújo, Vittorio Ferrari |
| 2023 | End-to-End Diffusion Latent Optimization Improves Classifier Guidance. Bram Wallace, Akash Gokul, Stefano Ermon, Nikhil Naik |
| 2023 | End-to-end 3D Tracking with Decoupled Queries. Yanwei Li, Zhiding Yu, Jonah Philion, Anima Anandkumar, Sanja Fidler, Jiaya Jia, Jose Alvarez |
| 2023 | End2End Multi-View Feature Matching with Differentiable Pose Optimization. Barbara Roessle, Matthias Nießner |
| 2023 | Energy-based Self-Training and Normalization for Unsupervised Domain Adaptation. Samitha Herath, Basura Fernando, Ehsan Abbasnejad, Munawar Hayat, Shahram Khadivi, Mehrtash Harandi, Hamid Rezatofighi, Gholamreza Haffari |
| 2023 | Enhanced Meta Label Correction for Coping with Label Corruption. Mitchell Keren Taraday, Chaim Baskin |
| 2023 | Enhanced Soft Label for Semi-Supervised Semantic Segmentation. Jie Ma, Chuan Wang, Yang Liu, Liang Lin, Guanbin Li |
| 2023 | Enhancing Adversarial Robustness in Low-Label Regime via Adaptively Weighted Regularization and Knowledge Distillation. Dongyoon Yang, Insung Kong, Yongdai Kim |
| 2023 | Enhancing Fine-Tuning based Backdoor Defense with Sharpness-Aware Minimization. Mingli Zhu, Shaokui Wei, Li Shen, Yanbo Fan, Baoyuan Wu |
| 2023 | Enhancing Generalization of Universal Adversarial Perturbation through Gradient Aggregation. Xuannan Liu, Yaoyao Zhong, Yuhang Zhang, Lixiong Qin, Weihong Deng |
| 2023 | Enhancing Modality-Agnostic Representations via Meta-learning for Brain Tumor Segmentation. Aishik Konwer, Xiaoling Hu, Joseph Bae, Xuan Xu, Chao Chen, Prateek Prasanna |
| 2023 | Enhancing NeRF akin to Enhancing LLMs: Generalizable NeRF Transformer with Mixture-of-View-Experts. Wenyan Cong, Hanxue Liang, Peihao Wang, Zhiwen Fan, Tianlong Chen, Mukund Varma T., Yi Wang, Zhangyang Wang |
| 2023 | Enhancing Non-line-of-sight Imaging via Learnable Inverse Kernel and Attention Mechanisms. Yanhua Yu, Siyuan Shen, Zi Wang, Binbin Huang, Yuehan Wang, Xingyue Peng, Suan Xia, Ping Liu, Ruiqian Li, Shiying Li |
| 2023 | Enhancing Privacy Preservation in Federated Learning via Learning Rate Perturbation. Guangnian Wan, Haitao Du, Xuejing Yuan, Jun Yang, Meiling Chen, Jie Xu |
| 2023 | Enhancing Sample Utilization through Sample Adaptive Augmentation in Semi-Supervised Learning. Guan Gui, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2023 | Environment Agnostic Representation for Visual Reinforcement learning. Hyesong Choi, Hunsang Lee, Seongwon Jeong, Dongbo Min |
| 2023 | Environment-Invariant Curriculum Relation Learning for Fine-Grained Scene Graph Generation. Yukuan Min, Aming Wu, Cheng Deng |
| 2023 | Equivariant Similarity for Vision-Language Foundation Models. Tan Wang, Kevin Lin, Linjie Li, Chung-Ching Lin, Zhengyuan Yang, Hanwang Zhang, Zicheng Liu, Lijuan Wang |
| 2023 | Erasing Concepts from Diffusion Models. Rohit Gandikota, Joanna Materzynska, Jaden Fiotto-Kaufman, David Bau |
| 2023 | Essential Matrix Estimation using Convex Relaxations in Orthogonal Space. Arman Karimian, Roberto Tron |
| 2023 | Estimator Meets Equilibrium Perspective: A Rectified Straight Through Estimator for Binary Neural Networks Training. Xiao-Ming Wu, Dian Zheng, Zuhao Liu, Wei-Shi Zheng |
| 2023 | Eulerian Single-Photon Vision. Shantanu Gupta, Mohit Gupta |
| 2023 | Evaluating Data Attribution for Text-to-Image Models. Sheng-Yu Wang, Alexei A. Efros, Jun-Yan Zhu, Richard Zhang |
| 2023 | Evaluation and Improvement of Interpretability for Self-Explainable Part-Prototype Networks. Qihan Huang, Mengqi Xue, Wenqi Huang, Haofei Zhang, Jie Song, Yongcheng Jing, Mingli Song |
| 2023 | Event Camera Data Pre-training. Yan Yang, Liyuan Pan, Liu Liu |
| 2023 | Event-Guided Procedure Planning from Instructional Videos with Text Supervision. An-Lan Wang, Kun-Yu Lin, Jia-Run Du, Jingke Meng, Wei-Shi Zheng |
| 2023 | Event-based Temporally Dense Optical Flow Estimation with Sequential Learning. Wachirawit Ponghiran, Chamika Mihiranga Liyanagedera, Kaushik Roy |
| 2023 | Eventful Transformers: Leveraging Temporal Redundancy in Vision Transformers. Matthew Dutson, Yin Li, Mohit Gupta |
| 2023 | EverLight: Indoor-Outdoor Editable HDR Lighting Estimation. Mohammad Reza Karimi Dastjerdi, Jonathan Eisenmann, Yannick Hold-Geoffroy, Jean-François Lalonde |
| 2023 | ExBluRF: Efficient Radiance Fields for Extreme Motion Blurred Images. Dongwoo Lee, Jeongtaek Oh, Jaesung Rim, Sunghyun Cho, Kyoung Mu Lee |
| 2023 | Examining Autoexposure for Challenging Scenes. SaiKiran Kumar Tedla, Beixuan Yang, Michael S. Brown |
| 2023 | Exemplar-Free Continual Transformer with Convolutions. Anurag Roy, Vinay Kumar Verma, Sravan Voonna, Kripabandhu Ghosh, Saptarshi Ghosh, Abir Das |
| 2023 | Explaining Adversarial Robustness of Neural Networks from Clustering Effect Perspective. Yulin Jin, Xiaoyu Zhang, Jian Lou, Xu Ma, Zilong Wang, Xiaofeng Chen |
| 2023 | Explicit Motion Disentangling for Efficient Optical Flow Estimation. Changxing Deng, Ao Luo, Haibin Huang, Shaodan Ma, Jiangyu Liu, Shuaicheng Liu |
| 2023 | Exploiting Proximity-Aware Tasks for Embodied Social Navigation. Enrico Cancelli, Tommaso Campari, Luciano Serafini, Angel X. Chang, Lamberto Ballan |
| 2023 | Explore and Tell: Embodied Visual Captioning in 3D Environments. Anwen Hu, Shizhe Chen, Liang Zhang, Qin Jin |
| 2023 | Exploring Group Video Captioning with Efficient Relational Approximation. Wang Lin, Tao Jin, Ye Wang, Wenwen Pan, Linjun Li, Xize Cheng, Zhou Zhao |
| 2023 | Exploring Lightweight Hierarchical Vision Transformers for Efficient Visual Tracking. Ben Kang, Xin Chen, Dong Wang, Houwen Peng, Huchuan Lu |
| 2023 | Exploring Model Transferability through the Lens of Potential Energy. Xiaotong Li, Zixuan Hu, Yixiao Ge, Ying Shan, Ling-Yu Duan |
| 2023 | Exploring Object-Centric Temporal Modeling for Efficient Multi-View 3D Object Detection. Shihao Wang, Yingfei Liu, Tiancai Wang, Ying Li, Xiangyu Zhang |
| 2023 | Exploring Open-Vocabulary Semantic Segmentation from CLIP Vision Encoder Distillation Only. Jun Chen, Deyao Zhu, Guocheng Qian, Bernard Ghanem, Zhicheng Yan, Chenchen Zhu, Fanyi Xiao, Sean Chang Culatana, Mohamed Elhoseiny |
| 2023 | Exploring Positional Characteristics of Dual-Pixel Data for Camera Autofocus. Myungsub Choi, Hana Lee, Hyong-Euk Lee |
| 2023 | Exploring Predicate Visual Context in Detecting of Human-Object Interactions. Frederic Z. Zhang, Yuhui Yuan, Dylan Campbell, Zhuoyao Zhong, Stephen Gould |
| 2023 | Exploring Temporal Concurrency for Video-Language Representation Learning. Heng Zhang, Daqing Liu, Zezhong Lv, Bing Su, Dacheng Tao |
| 2023 | Exploring Temporal Frequency Spectrum in Deep Video Deblurring. Qi Zhu, Man Zhou, Naishan Zheng, Chongyi Li, Jie Huang, Feng Zhao |
| 2023 | Exploring Transformers for Open-world Instance Segmentation. Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo |
| 2023 | Exploring Video Quality Assessment on User Generated Contents from Aesthetic and Technical Perspectives. Haoning Wu, Erli Zhang, Liang Liao, Chaofeng Chen, Jingwen Hou, Annan Wang, Wenxiu Sun, Qiong Yan, Weisi Lin |
| 2023 | Exploring the Benefits of Visual Prompting in Differential Privacy. Yizhe Li, Yu-Lin Tsai, Chia-Mu Yu, Pin-Yu Chen, Xuebin Ren |
| 2023 | Exploring the Sim2Real Gap using Digital Twins. Sruthi Sudhakar, Jon Hanzelka, Josh Bobillot, Tanmay Randhavane, Neel Joshi, Vibhav Vineet |
| 2023 | ExposureDiffusion: Learning to Expose for Low-light Image Enhancement. Yufei Wang, Yi Yu, Wenhan Yang, Lanqing Guo, Lap-Pui Chau, Alex C. Kot, Bihan Wen |
| 2023 | Expressive Text-to-Image Generation with Rich Text. Songwei Ge, Taesung Park, Jun-Yan Zhu, Jia-Bin Huang |
| 2023 | Extensible and Efficient Proxy for Neural Architecture Search. Yuhong Li, Jiajie Li, Cong Hao, Pan Li, Jinjun Xiong, Deming Chen |
| 2023 | F&F Attack: Adversarial Attack against Multiple Object Trackers by Inducing False Negatives and False Positives. Tao Zhou, Qi Ye, Wenhan Luo, Kaihao Zhang, Zhiguo Shi, Jiming Chen |
| 2023 | FACET: Fairness in Computer Vision Evaluation Benchmark. Laura Gustafson, Chloé Rolland, Nikhila Ravi, Quentin Duval, Aaron Adcock, Cheng-Yang Fu, Melissa Hall, Candace Ross |
| 2023 | FACTS: First Amplify Correlations and Then Slice to Discover Bias. Sriram Yenamandra, Pratik Ramesh, Viraj Prabhu, Judy Hoffman |
| 2023 | FB-BEV: BEV Representation from Forward-Backward View Transformations. Zhiqi Li, Zhiding Yu, Wenhai Wang, Anima Anandkumar, Tong Lu, José M. Álvarez |
| 2023 | FBLNet: FeedBack Loop Network for Driver Attention Prediction. Yilong Chen, Zhixiong Nan, Tao Xiang |
| 2023 | FCCNs: Fully Complex-valued Convolutional Networks using Complex-valued Color Model and Loss Function. Saurabh Yadav, Koteswar Rao Jerripothula |
| 2023 | FDViT: Improve the Hierarchical Architecture of Vision Transformer. Yixing Xu, Chao Li, Dong Li, Xiao Sheng, Fan Jiang, Lu Tian, Ashish Sirasao |
| 2023 | FLIP: Cross-domain Face Anti-spoofing with Language Guidance. Koushik Srivatsan, Muzammal Naseer, Karthik Nandakumar |
| 2023 | FLatten Transformer: Vision Transformer using Focused Linear Attention. Dongchen Han, Xuran Pan, Yizeng Han, Shiji Song, Gao Huang |
| 2023 | FPR: False Positive Rectification for Weakly Supervised Semantic Segmentation. Liyi Chen, Chenyang Lei, Ruihuang Li, Shuai Li, Zhaoxiang Zhang, Lei Zhang |
| 2023 | FRAug: Tackling Federated Learning with Non-IID Features via Representation Augmentation. Haokun Chen, Ahmed Frikha, Denis Krompass, Jindong Gu, Volker Tresp |
| 2023 | FS-DETR: Few-Shot DEtection TRansformer with prompting and without re-training. Adrian Bulat, Ricardo Guerrero, Brais Martínez, Georgios Tzimiropoulos |
| 2023 | FSAR: Federated Skeleton-based Action Recognition with Adaptive Topology Structure and Knowledge Distillation. Jingwen Guo, Hong Liu, Shitong Sun, Tianyu Guo, Min Zhang, Chenyang Si |
| 2023 | FSI: Frequency and Spatial Interactive Learning for Image Restoration in Under-Display Cameras. Chengxu Liu, Xuan Wang, Shuai Li, Yuzhi Wang, Xueming Qian |
| 2023 | FULLER: Unified Multi-modality Multi-task 3D Perception via Multi-level Gradient Calibration. Zhijian Huang, Sihao Lin, Guiyu Liu, Mukun Luo, Chaoqiang Ye, Hang Xu, Xiaojun Chang, Xiaodan Liang |
| 2023 | Face Clustering via Graph Convolutional Networks with Confidence Edges. Yang Wu, Zhiwei Ge, Yuhao Luo, Lin Liu, Sulong Xu |
| 2023 | FaceCLIPNeRF: Text-driven 3D Face Manipulation using Deformable Neural Radiance Fields. Sungwon Hwang, Junha Hyung, DaeJin Kim, Min-Jung Kim, Jaegul Choo |
| 2023 | Factorized Inverse Path Tracing for Efficient and Accurate Material-Lighting Estimation. Liwen Wu, Rui Zhu, Mustafa B. Yaldiz, Yinhao Zhu, Hong Cai, Janarbek Matai, Fatih Porikli, Tzu-Mao Li, Manmohan Chandraker, Ravi Ramamoorthi |
| 2023 | Fan-Beam Binarization Difference Projection (FB-BDP): A Novel Local Object Descriptor for Fine-Grained Leaf Image Retrieval. Xin Chen, Bin Wang, Yongsheng Gao |
| 2023 | Fantasia3D: Disentangling Geometry and Appearance for High-quality Text-to-3D Content Creation. Rui Chen, Yongwei Chen, Ningxin Jiao, Kui Jia |
| 2023 | FashionNTM: Multi-turn Fashion Image Retrieval via Cascaded Memory. Anwesan Pal, Sahil Wadhwa, Ayush Jaiswal, Xu Zhang, Yue Wu, Rakesh Chada, Pradeep Natarajan, Henrik I. Christensen |
| 2023 | Fast Adversarial Training with Smooth Convergence. Mengnan Zhao, Lihe Zhang, Yuqiu Kong, Baocai Yin |
| 2023 | Fast Full-frame Video Stabilization with Iterative Optimization. Weiyue Zhao, Xin Li, Zhan Peng, Xianrui Luo, Xinyi Ye, Hao Lu, Zhiguo Cao |
| 2023 | Fast Globally Optimal Surface Normal from an Affine Correspondence. Levente Hajder, Lajos Lóczi, Daniel Barath |
| 2023 | Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction. Takahiro Maeda, Norimichi Ukita |
| 2023 | Fast Neural Scene Flow. Xueqian Li, Jianqiao Zheng, Francesco Ferroni, Jhony Kaesemodel Pontes, Simon Lucey |
| 2023 | Fast and Accurate Transferability Measurement by Evaluating Intra-class Feature Variance. Huiwen Xu, U Kang |
| 2023 | FastRecon: Few-shot Industrial Anomaly Detection via Fast Feature Reconstruction. Zheng Fang, Xiaoyang Wang, Haocheng Li, Jiejie Liu, Qiugui Hu, Jimin Xiao |
| 2023 | FastViT: A Fast Hybrid Vision Transformer using Structural Reparameterization. Pavan Kumar Anasosalu Vasu, James Gabriel, Jeff Zhu, Oncel Tuzel, Anurag Ranjan |
| 2023 | FateZero: Fusing Attentions for Zero-shot Text-based Video Editing. Chenyang Qi, Xiaodong Cun, Yong Zhang, Chenyang Lei, Xintao Wang, Ying Shan, Qifeng Chen |
| 2023 | Fcaformer: Forward Cross Attention in Hybrid Vision Transformer. Haokui Zhang, Wenze Hu, Xiaoyu Wang |
| 2023 | FeatEnHancer: Enhancing Hierarchical Features for Object Detection and Beyond Under Low-Light Vision. Khurram Azeem Hashmi, Goutham Kallempudi, Didier Stricker, Muhammad Zeshan Afzal |
| 2023 | Feature Modulation Transformer: Cross-Refinement of Global Representation via High-Frequency Prior for Image Super-Resolution. Ao Li, Le Zhang, Yun Liu, Ce Zhu |
| 2023 | Feature Prediction Diffusion Model for Video Anomaly Detection. Cheng Yan, Shiyu Zhang, Yang Liu, Guansong Pang, Wenjun Wang |
| 2023 | Feature Proliferation - the "Cancer" in StyleGAN and its Treatments. Shuang Song, Yuanbang Liang, Jing Wu, Yu-Kun Lai, Yipeng Qin |
| 2023 | FeatureNeRF: Learning Generalizable NeRFs by Distilling Foundation Models. Jianglong Ye, Naiyan Wang, Xiaolong Wang |
| 2023 | FedPD: Federated Open Set Recognition with Parameter Disentanglement. Chen Yang, Meilu Zhu, Yifan Liu, Yixuan Yuan |
| 2023 | FedPerfix: Towards Partial Model Personalization of Vision Transformers in Federated Learning. Guangyu Sun, Matías Mendieta, Jun Luo, Shandong Wu, Chen Chen |
| 2023 | Federated Learning Over Images: Vertical Decompositions and Pre-Trained Backbones Are Difficult to Beat. Erdong Hu, Yuxin Tang, Anastasios Kyrillidis, Chris Jermaine |
| 2023 | FemtoDet: An Object Detection Baseline for Energy Versus Performance Tradeoffs. Peng Tu, Xu Xie, Guo Ai, Yuexiang Li, Yawen Huang, Yefeng Zheng |
| 2023 | FerKD: Surgical Label Adaptation for Efficient Distillation. Zhiqiang Shen |
| 2023 | Few shot font generation via transferring similarity guided global style and quantization local style. Wei Pan, Anna Zhu, Xinyu Zhou, Brian Kenji Iwana, Shilin Li |
| 2023 | Few-Shot Common Action Localization via Cross-Attentional Fusion of Context and Temporal Dynamics. Juntae Lee, Mihir Jain, Sungrack Yun |
| 2023 | Few-Shot Dataset Distillation via Translative Pre-Training. Songhua Liu, Xinchao Wang |
| 2023 | Few-Shot Physically-Aware Articulated Mesh Generation via Hierarchical Deformation. Xueyi Liu, Bin Wang, He Wang, Li Yi |
| 2023 | Few-Shot Video Classification via Representation Fusion and Promotion Learning. Haifeng Xia, Kai Li, Martin Renqiang Min, Zhengming Ding |
| 2023 | Few-shot Continual Infomax Learning. Ziqi Gu, Chunyan Xu, Jian Yang, Zhen Cui |
| 2023 | Fg-T2M: Fine-Grained Text-Driven Human Motion Generation via Diffusion Model. Yin Wang, Zhiying Leng, Frederick W. B. Li, Shun-Cheng Wu, Xiaohui Liang |
| 2023 | Fine-grained Unsupervised Domain Adaptation for Gait Recognition. Kang Ma, Ying Fu, Dezhi Zheng, Yunjie Peng, Chunshui Cao, Yongzhen Huang |
| 2023 | Fine-grained Visible Watermark Removal. Li Niu, Xing Zhao, Bo Zhang, Liqing Zhang |
| 2023 | FineDance: A Fine-grained Choreography Dataset for 3D Full Body Dance Generation. Ronghui Li, Junfan Zhao, Yachao Zhang, Mingyang Su, Zeping Ren, Han Zhang, Yansong Tang, Xiu Li |
| 2023 | FineRecon: Depth-aware Feed-forward Network for Detailed 3D Reconstruction. Noah Stier, Anurag Ranjan, Alex Colburn, Yajie Yan, Liang Yang, Fangchang Ma, Baptiste Angles |
| 2023 | Fingerprinting Deep Image Restoration Models. Yuhui Quan, Huan Teng, Ruotao Xu, Jun Huang, Hui Ji |
| 2023 | First Session Adaptation: A Strong Replay-Free Baseline for Class-Incremental Learning. Aristeidis Panos, Yuriko Kobe, Daniel Olmeda Reino, Rahaf Aljundi, Richard E. Turner |
| 2023 | FishNet: A Large-scale Dataset and Benchmark for Fish Recognition, Detection, and Functional Trait Prediction. Faizan Farooq Khan, Xiang Li, Andrew J. Temple, Mohamed Elhoseiny |
| 2023 | Flatness-Aware Minimization for Domain Generalization. Xingxuan Zhang, Renzhe Xu, Han Yu, Yancheng Dong, Pengfei Tian, Peng Cui |
| 2023 | Flexible Visual Recognition by Evidential Modeling of Confusion and Ignorance. Lei Fan, Bo Liu, Haoxiang Li, Ying Wu, Gang Hua |
| 2023 | FlipNeRF: Flipped Reflection Rays for Few-shot Novel View Synthesis. Seunghyeon Seo, Yeonjin Chang, Nojun Kwak |
| 2023 | Focal Network for Image Restoration. Yuning Cui, Wenqi Ren, Xiaochun Cao, Alois Knoll |
| 2023 | FocalFormer3D : Focusing on Hard Instance for 3D Object Detection. Yilun Chen, Zhiding Yu, Yukang Chen, Shiyi Lan, Anima Anandkumar, Jiaya Jia, José M. Álvarez |
| 2023 | Focus on Your Target: A Dual Teacher-Student Framework for Domain-adaptive Semantic Segmentation. Xinyue Huo, Lingxi Xie, Wengang Zhou, Houqiang Li, Qi Tian |
| 2023 | Focus the Discrepancy: Intra- and Inter-Correlation Learning for Image Anomaly Detection. Xincheng Yao, Ruoqi Li, Zefeng Qian, Yan Luo, Chongyang Zhang |
| 2023 | Forecast-MAE: Self-supervised Pre-training for Motion Forecasting with Masked Autoencoders. Jie Cheng, Xiaodong Mei, Ming Liu |
| 2023 | Foreground Object Search by Distilling Composite Image Feature. Bo Zhang, Jiacheng Sui, Li Niu |
| 2023 | Foreground and Text-lines Aware Document Image Rectification. Heng Li, Xiangping Wu, Qingcai Chen, Qianjin Xiang |
| 2023 | Foreground-Background Distribution Modeling Transformer for Visual Object Tracking. Dawei Yang, Jianfeng He, Yinchao Ma, Qianjin Yu, Tianzhu Zhang |
| 2023 | Foreground-Background Separation through Concept Distillation from Generative Image Foundation Models. Mischa Dombrowski, Hadrien Reynaud, Matthew Baugh, Bernhard Kainz |
| 2023 | Forward Flow for Novel View Synthesis of Dynamic Scenes. Xiang Guo, Jiadai Sun, Yuchao Dai, Guanying Chen, Xiaoqing Ye, Xiao Tan, Errui Ding, Yumeng Zhang, Jingdong Wang |
| 2023 | FreeCOS: Self-Supervised Learning from Fractals and Unlabeled Images for Curvilinear Object Segmentation. Tianyi Shi, Xiaohuan Ding, Liang Zhang, Xin Yang |
| 2023 | FreeDoM: Training-Free Energy-Guided Conditional Diffusion Model. Jiwen Yu, Yinhuai Wang, Chen Zhao, Bernard Ghanem, Jian Zhang |
| 2023 | Frequency Guidance Matters in Few-Shot Learning. Hao Cheng, Siyuan Yang, Joey Tianyi Zhou, Lanqing Guo, Bihan Wen |
| 2023 | Frequency-aware GAN for Adversarial Manipulation Generation. Peifei Zhu, Genki Osada, Hirokatsu Kataoka, Tsubasa Takahashi |
| 2023 | From Chaos Comes Order: Ordering Event Representations for Object Recognition and Detection. Nikola Zubic, Daniel Gehrig, Mathias Gehrig, Davide Scaramuzza |
| 2023 | From Knowledge Distillation to Self-Knowledge Distillation: A Unified Approach with Normalized Loss and Customized Soft Labels. Zhendong Yang, Ailing Zeng, Zhe Li, Tianke Zhang, Chun Yuan, Yu Li |
| 2023 | From Sky to the Ground: A Large-scale Benchmark and Simple Baseline Towards Real Rain Removal. Yun Guo, Xueyao Xiao, Yi Chang, Shumin Deng, Luxin Yan |
| 2023 | FrozenRecon: Pose-free 3D Scene Reconstruction with Frozen Depth Models. Guangkai Xu, Wei Yin, Hao Chen, Chunhua Shen, Kai Cheng, Feng Zhao |
| 2023 | Full-Body Articulated Human-Object Interaction. Nan Jiang, Tengyu Liu, Zhexuan Cao, Jieming Cui, Zhiyuan Zhang, Yixin Chen, He Wang, Yixin Zhu, Siyuan Huang |
| 2023 | Fully Attentional Networks with Self-emerging Token Labeling. Bingyin Zhao, Zhiding Yu, Shiyi Lan, Yutao Cheng, Anima Anandkumar, Yingjie Lao, José M. Álvarez |
| 2023 | FunnyBirds: A Synthetic Vision Dataset for a Part-Based Analysis of Explainable AI Methods. Robin Hesse, Simone Schaub-Meyer, Stefan Roth |
| 2023 | G2L: Semantically Aligned and Uniform Video Grounding via Geodesic and Game Theory. Hongxiang Li, Meng Cao, Xuxin Cheng, Yaowei Li, Zhihong Zhu, Yuexian Zou |
| 2023 | GACE: Geometry Aware Confidence Enhancement for Black-box 3D Object Detectors on LiDAR-Data. David Schinagl, Georg Krispel, Christian Fruhwirth-Reisinger, Horst Possegger, Horst Bischof |
| 2023 | GAFlow: Incorporating Gaussian Attention into Optical Flow. Ao Luo, Fan Yang, Xin Li, Lang Nie, Chunyu Lin, Haoqiang Fan, Shuaicheng Liu |
| 2023 | GAIT: Generating Aesthetic Indoor Tours with Deep Reinforcement Learning. Desai Xie, Ping Hu, Xin Sun, Sören Pirk, Jianming Zhang, Radomír Mech, Arie E. Kaufman |
| 2023 | GECCO: Geometrically-Conditioned Point Diffusion Models. Michal J. Tyszkiewicz, Pascal Fua, Eduard Trulls |
| 2023 | GEDepth: Ground Embedding for Monocular Depth Estimation. Xiaodong Yang, Zhuang Ma, Zhiyu Ji, Zhe Ren |
| 2023 | GET: Group Event Transformer for Event-Based Vision. Yansong Peng, Yueyi Zhang, Zhiwei Xiong, Xiaoyan Sun, Feng Wu |
| 2023 | GETAvatar: Generative Textured Meshes for Animatable Human Avatars. Xuanmeng Zhang, Jianfeng Zhang, Rohan Chacko, Hongyi Xu, Guoxian Song, Yi Yang, Jiashi Feng |
| 2023 | GIFD: A Generative Gradient Inversion Method with Feature Domain Optimization. Hao Fang, Bin Chen, Xuan Wang, Zhi Wang, Shu-Tao Xia |
| 2023 | GLA-GCN: Global-local Adaptive Graph Convolutional Network for 3D Human Pose Estimation from Monocular Video. Bruce X. B. Yu, Zhi Zhang, Yongxu Liu, Sheng-hua Zhong, Yan Liu, Chang Wen Chen |
| 2023 | GO-SLAM: Global Optimization for Consistent 3D Instant Reconstruction. Youmin Zhang, Fabio Tosi, Stefano Mattoccia, Matteo Poggi |
| 2023 | GPA-3D: Geometry-aware Prototype Alignment for Unsupervised Domain Adaptive 3D Object Detection from Point Clouds. Ziyu Li, Jingming Guo, Tongtong Cao, Bingbing Liu, Wankou Yang |
| 2023 | GPFL: Simultaneously Learning Global and Personalized Feature Information for Personalized Federated Learning. Jianqing Zhang, Yang Hua, Hao Wang, Tao Song, Zhengui Xue, Ruhui Ma, Jian Cao, Haibing Guan |
| 2023 | GPGait: Generalized Pose-based Gait Recognition. Yang Fu, Shibei Meng, Saihui Hou, Xuecai Hu, Yongzhen Huang |
| 2023 | GRAM-HD: 3D-Consistent Image Generation at High Resolution with Generative Radiance Manifolds. Jianfeng Xiang, Jiaolong Yang, Yu Deng, Xin Tong |
| 2023 | GaPro: Box-Supervised 3D Point Cloud Instance Segmentation Using Gaussian Processes as Pseudo Labelers. Tuan Duc Ngo, Binh-Son Hua, Khoi Nguyen |
| 2023 | GameFormer: Game-theoretic Modeling and Learning of Transformer-based Interactive Prediction and Planning for Autonomous Driving. Zhiyu Huang, Haochen Liu, Chen Lv |
| 2023 | GasMono: Geometry-Aided Self-Supervised Monocular Depth Estimation for Indoor Scenes. Chaoqiang Zhao, Matteo Poggi, Fabio Tosi, Lei Zhou, Qiyu Sun, Yang Tang, Stefano Mattoccia |
| 2023 | GePSAn: Generative Procedure Step Anticipation in Cooking Videos. Mohamed Ashraf Abdelsalam, Samrudhdhi B. Rangrej, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Afsaneh Fazly |
| 2023 | GeT: Generative Target Structure Debiasing for Domain Adaptation. Can Zhang, Gim Hee Lee |
| 2023 | Gender Artifacts in Visual Datasets. Nicole Meister, Dora Zhao, Angelina Wang, Vikram V. Ramaswamy, Ruth Fong, Olga Russakovsky |
| 2023 | General Image-to-Image Translation with One-Shot Image Guidance. Bin Cheng, Zuhao Liu, Yunbo Peng, Yue Lin |
| 2023 | General Planar Motion from a Pair of 3D Correspondences. Juan Carlos Dibene, Zhixiang Min, Enrique Dunn |
| 2023 | Generalizable Decision Boundaries: Dualistic Meta-Learning for Open Set Domain Generalization. Xiran Wang, Jian Zhang, Lei Qi, Yinghuan Shi |
| 2023 | Generalizable Neural Fields as Partially Observed Neural Processes. Jeffrey Gu, Kuan-Chieh Wang, Serena Yeung |
| 2023 | Generalized Differentiable RANSAC. Tong Wei, Yash Patel, Alexander Shekhovtsov, Jirí Matas, Daniel Barath |
| 2023 | Generalized Few-Shot Point Cloud Segmentation Via Geometric Words. Yating Xu, Conghui Hu, Na Zhao, Gim Hee Lee |
| 2023 | Generalized Lightness Adaptation with Channel Selective Normalization. Mingde Yao, Jie Huang, Xin Jin, Ruikang Xu, Shenglong Zhou, Man Zhou, Zhiwei Xiong |
| 2023 | Generalized Sum Pooling for Metric Learning. Yeti Ziya Gürbüz, Ozan Sener, A. Aydin Alatan |
| 2023 | Generalizing Event-Based Motion Deblurring in Real-World Scenarios. Xiang Zhang, Lei Yu, Wen Yang, Jianzhuang Liu, Gui-Song Xia |
| 2023 | Generalizing Neural Human Fitting to Unseen Poses With Articulated SE(3) Equivariance. Haiwen Feng, Peter Kulits, Shichen Liu, Michael J. Black, Victoria Fernández Abrevaya |
| 2023 | Generating Dynamic Kernels via Transformers for Lane Detection. Ziye Chen, Yu Liu, Mingming Gong, Bo Du, Guoqi Qian, Kate Smith-Miles |
| 2023 | Generating Instance-level Prompts for Rehearsal-free Continual Learning. Dahuin Jung, Dongyoon Han, Jihwan Bang, Hwanjun Song |
| 2023 | Generating Realistic Images from In-the-wild Sounds. Taegyeong Lee, Jeonghun Kang, Hyeonyu Kim, Taehwan Kim |
| 2023 | Generating Visual Scenes from Touch. Fengyu Yang, Jiacheng Zhang, Andrew Owens |
| 2023 | Generative Action Description Prompts for Skeleton-based Action Recognition. Wangmeng Xiang, Chao Li, Yuxuan Zhou, Biao Wang, Lei Zhang |
| 2023 | Generative Gradient Inversion via Over-Parameterized Networks in Federated Learning. Chi Zhang, Xiaoman Zhang, Ekanut Sotthiwat, Yanyu Xu, Ping Liu, Liangli Zhen, Yong Liu |
| 2023 | Generative Multiplane Neural Radiance for 3D-Aware Image Generation. Amandeep Kumar, Ankan Kumar Bhunia, Sanath Narayan, Hisham Cholakkal, Rao Muhammad Anwer, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan |
| 2023 | Generative Novel View Synthesis with 3D-Aware Diffusion Models. Eric R. Chan, Koki Nagano, Matthew A. Chan, Alexander W. Bergman, Jeong Joon Park, Axel Levy, Miika Aittala, Shalini De Mello, Tero Karras, Gordon Wetzstein |
| 2023 | Generative Prompt Model for Weakly Supervised Object Localization. Yuzhong Zhao, Qixiang Ye, Weijia Wu, Chunhua Shen, Fang Wan |
| 2023 | GeoMIM: Towards Better 3D Knowledge Transfer via Masked Image Modeling for Multi-view 3D Understanding. Jihao Liu, Tai Wang, Boxiao Liu, Qihang Zhang, Yu Liu, Hongsheng Li |
| 2023 | GeoUDF: Surface Reconstruction from 3D Point Clouds via Geometry-guided Distance Representation. Siyu Ren, Junhui Hou, Xiaodong Chen, Ying He, Wenping Wang |
| 2023 | Geometric Viewpoint Learning with Hyper-Rays and Harmonics Encoding. Zhixiang Min, Juan Carlos Dibene, Enrique Dunn |
| 2023 | Geometrized Transformer for Self-Supervised Homography Estimation. Jiazhen Liu, Xirong Li |
| 2023 | Geometry-guided Feature Learning and Fusion for Indoor Scene Reconstruction. Ruihong Yin, Sezer Karaoglu, Theo Gevers |
| 2023 | Get the Best of Both Worlds: Improving Accuracy and Transferability by Grassmann Class Representation. Haoqi Wang, Zhizhong Li, Wayne Zhang |
| 2023 | Get3DHuman: Lifting StyleGAN-Human into a 3D Generative Model using Pixel-aligned Reconstruction Priors. Zhangyang Xiong, Di Kang, Derong Jin, Weikai Chen, Linchao Bao, Shuguang Cui, Xiaoguang Han |
| 2023 | Global Adaptation meets Local Generalization: Unsupervised Domain Adaptation for 3D Human Pose Estimation. Wenhao Chai, Zhongyu Jiang, Jenq-Neng Hwang, Gaoang Wang |
| 2023 | Global Balanced Experts for Federated Long-Tailed Learning. Yaopei Zeng, Lei Liu, Li Liu, Li Shen, Shaoguo Liu, Baoyuan Wu |
| 2023 | Global Features are All You Need for Image Retrieval and Reranking. Shihao Shao, Kaifeng Chen, Arjun Karpur, Qinghua Cui, André Araújo, Bingyi Cao |
| 2023 | Global Knowledge Calibration for Fast Open-Vocabulary Segmentation. Kunyang Han, Yong Liu, Jun Hao Liew, Henghui Ding, Jiajun Liu, Yitong Wang, Yansong Tang, Yujiu Yang, Jiashi Feng, Yao Zhao, Yunchao Wei |
| 2023 | Global Perception Based Autoregressive Neural Processes. Jinyang Tai |
| 2023 | GlobalMapper: Arbitrary-Shaped Urban Layout Generation. Liu He, Daniel G. Aliaga |
| 2023 | Gloss-free Sign Language Translation: Improving from Visual-Language Pretraining. Benjia Zhou, Zhigang Chen, Albert Clapés, Jun Wan, Yanyan Liang, Sergio Escalera, Zhen Lei, Du Zhang |
| 2023 | GlowGAN: Unsupervised Learning of HDR Images from LDR Images in the Wild. Chao Wang, Ana Serrano, Xingang Pan, Bin Chen, Karol Myszkowski, Hans-Peter Seidel, Christian Theobalt, Thomas Leimkühler |
| 2023 | GlueGen: Plug and Play Multi-modal Encoders for X-to-image Generation. Can Qin, Ning Yu, Chen Xing, Shu Zhang, Zeyuan Chen, Stefano Ermon, Yun Fu, Caiming Xiong, Ran Xu |
| 2023 | GlueStick: Robust Image Matching by Sticking Points and Lines Together. Rémi Pautrat, Iago Suárez, Yifan Yu, Marc Pollefeys, Viktor Larsson |
| 2023 | Going Beyond Nouns With Vision & Language Models Using Synthetic Data. Paola Cascante-Bonilla, Khaled Shehada, James Seale Smith, Sivan Doveh, Donghyun Kim, Rameswar Panda, Gül Varol, Aude Oliva, Vicente Ordonez, Rogério Feris, Leonid Karlinsky |
| 2023 | Going Denser with Open-Vocabulary Part Segmentation. Peize Sun, Shoufa Chen, Chenchen Zhu, Fanyi Xiao, Ping Luo, Saining Xie, Zhicheng Yan |
| 2023 | Gradient-Regulated Meta-Prompt Learning for Generalizable Vision-Language Models. Juncheng Li, Minghe Gao, Longhui Wei, Siliang Tang, Wenqiao Zhang, Mengze Li, Wei Ji, Qi Tian, Tat-Seng Chua, Yueting Zhuang |
| 2023 | Gradient-based Sampling for Class Imbalanced Semi-supervised Object Detection. Jiaming Li, Xiangru Lin, Wei Zhang, Xiao Tan, Yingying Li, Junyu Han, Errui Ding, Jingdong Wang, Guanbin Li |
| 2023 | Gram-based Attentive Neural Ordinary Differential Equations Network for Video Nystagmography Classification. Xihe Qiu, Shaojie Shi, Xiaoyu Tan, Chao Qu, Zhijun Fang, Hailing Wang, Yongbin Gao, Peixia Wu, Huawei Li |
| 2023 | Gramian Attention Heads are Strong yet Efficient Vision Learners. Jongbin Ryu, Dongyoon Han, Jongwoo Lim |
| 2023 | Graph Matching with Bi-level Noisy Correspondence. Yijie Lin, Mouxing Yang, Jun Yu, Peng Hu, Changqing Zhang, Xi Peng |
| 2023 | GraphAlign: Enhancing Accurate Feature Alignment by Graph matching for Multi-Modal 3D Object Detection. Ziying Song, Haiyue Wei, Lin Bai, Lei Yang, Caiyan Jia |
| 2023 | GraphEcho: Graph-Driven Unsupervised Domain Adaptation for Echocardiogram Video Segmentation. Jiewen Yang, Xinpeng Ding, Ziyang Zheng, Xiaowei Xu, Xiaomeng Li |
| 2023 | Graphics2RAW: Mapping Computer Graphics Images to Sensor RAW Images. Donghwan Seo, Abhijith Punnappurath, Luxi Zhao, Abdelrahman Abdelhamed, SaiKiran Kumar Tedla, Sanguk Park, Jihwan Choe, Michael S. Brown |
| 2023 | GridMM: Grid Memory Map for Vision-and-Language Navigation. Zihan Wang, Xiangyang Li, Jiahao Yang, Yeqi Liu, Shuqiang Jiang |
| 2023 | GridPull: Towards Scalability in Learning Implicit Representations from 3D Point Clouds. Chao Chen, Yu-Shen Liu, Zhizhong Han |
| 2023 | Grounded Entity-Landmark Adaptive Pre-training for Vision-and-Language Navigation. Yibo Cui, Liang Xie, Yakun Zhang, Meishan Zhang, Ye Yan, Erwei Yin |
| 2023 | Grounded Image Text Matching with Mismatched Relation Reasoning. Yu Wu, Yana Wei, Haozhe Wang, Yongfei Liu, Sibei Yang, Xuming He |
| 2023 | Grounding 3D Object Affordance from 2D Interactions in Images. Yuhang Yang, Wei Zhai, Hongchen Luo, Yang Cao, Jiebo Luo, Zheng-Jun Zha |
| 2023 | Group DETR: Fast DETR Training with Group-Wise One-to-Many Assignment. Qiang Chen, Xiaokang Chen, Jian Wang, Shan Zhang, Kun Yao, Haocheng Feng, Junyu Han, Errui Ding, Gang Zeng, Jingdong Wang |
| 2023 | Group Pose: A Simple Baseline for End-to-End Multi-person Pose Estimation. Huan Liu, Qiang Chen, Zichang Tan, Jiang-Jiang Liu, Jian Wang, Xiangbo Su, Xiaolong Li, Kun Yao, Junyu Han, Errui Ding, Yao Zhao, Jingdong Wang |
| 2023 | GrowCLIP: Data-aware Automatic Model Growing for Large-scale Contrastive Language-Image Pre-training. Xinchi Deng, Han Shi, Runhui Huang, Changlin Li, Hang Xu, Jianhua Han, James T. Kwok, Shen Zhao, Wei Zhang, Xiaodan Liang |
| 2023 | Growing a Brain with Sparsity-Inducing Generation for Continual Learning. Hyundong Jin, Gyeong-Hyeon Kim, Chanho Ahn, Eunwoo Kim |
| 2023 | Guided Motion Diffusion for Controllable Human Motion Synthesis. Korrawe Karunratanakul, Konpat Preechakul, Supasorn Suwajanakorn, Siyu Tang |
| 2023 | Guiding Local Feature Matching with Surface Curvature. Shuzhe Wang, Juho Kannala, Marc Pollefeys, Daniel Barath |
| 2023 | Guiding image captioning models toward more specific captions. Simon Kornblith, Lala Li, Zirui Wang, Thao Nguyen |
| 2023 | H3WB: Human3.6M 3D WholeBody Dataset and Benchmark. Yue Zhu, Nermin Samet, David Picard |
| 2023 | HAL3D: Hierarchical Active Learning for Fine-Grained 3D Part Labeling. Fenggen Yu, Yiming Qian, Francisca Gil-Ureta, Brian Jackson, Eric P. Bennett, Hao Zhang |
| 2023 | HDG-ODE: A Hierarchical Continuous-Time Model for Human Pose Forecasting. Yucheng Xing, Xin Wang |
| 2023 | HM-ViT: Hetero-modal Vehicle-to-Vehicle Cooperative Perception with Vision Transformer. Hao Xiang, Runsheng Xu, Jiaqi Ma |
| 2023 | HMD-NeMo: Online 3D Avatar Motion Generation From Sparse Observations. Sadegh Aliakbarian, Fatemeh Sadat Saleh, David Collier, Pashmina Cameron, Darren Cosker |
| 2023 | HOSNeRF: Dynamic Human-Object-Scene Neural Radiance Fields from a Single Video. Jia-Wei Liu, Yan-Pei Cao, Tianyuan Yang, Zhongcong Xu, Jussi Keppo, Ying Shan, Xiaohu Qie, Mike Zheng Shou |
| 2023 | HRS-Bench: Holistic, Reliable and Scalable Benchmark for Text-to-Image Models. Eslam Mohamed Bakr, Pengzhan Sun, Xiaoqian Shen, Faizan Farooq Khan, Li Erran Li, Mohamed Elhoseiny |
| 2023 | HSE: Hybrid Species Embedding for Deep Metric Learning. Bailin Yang, Haoqiang Sun, Frederick W. B. Li, Zheng Chen, Jianlu Cai, Chao Song |
| 2023 | HSR-Diff: Hyperspectral Image Super-Resolution via Conditional Diffusion Models. Chanyue Wu, Dong Wang, Yunpeng Bai, Hanyu Mao, Ying Li, Qiang Shen |
| 2023 | HTML: Hybrid Temporal-scale Multimodal Learning Framework for Referring Video Object Segmentation. Mingfei Han, Yali Wang, Zhihui Li, Lina Yao, Xiaojun Chang, Yu Qiao |
| 2023 | HaMuCo: Hand Pose Estimation via Multiview Collaborative Self-Supervised Learning. Xiaozheng Zheng, Chao Wen, Zhou Xue, Pengfei Ren, Jingyu Wang |
| 2023 | HairCLIPv2: Unifying Hair Editing via Proxy Feature Blending. Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Weiming Zhang, Gang Hua, Nenghai Yu |
| 2023 | HairNeRF: Geometry-Aware Image Synthesis for Hairstyle Transfer. Seunggyu Chang, Gihoon Kim, Hayeon Kim |
| 2023 | Hallucination Improves the Performance of Unsupervised Visual Representation Learning. Jing Wu, Jennifer A. Hobbs, Naira Hovakimyan |
| 2023 | HandR Wencan Cheng, Jong Hwan Ko |
| 2023 | Handwritten and Printed Text Segmentation: A Signature Case Study. Sina Gholamian, Ali Vahdat |
| 2023 | Hard No-Box Adversarial Attack on Skeleton-Based Human Action Recognition with Skeleton-Motion-Informed Gradient. Zhengzhi Lu, He Wang, Ziyi Chang, Guoan Yang, Hubert P. H. Shum |
| 2023 | Harnessing the Spatial-Temporal Attention of Diffusion Models for High-Fidelity Text-to-Image Synthesis. Qiucheng Wu, Yujian Liu, Handong Zhao, Trung Bui, Zhe Lin, Yang Zhang, Shiyu Chang |
| 2023 | Harvard Glaucoma Detection and Progression: A Multimodal Multitask Dataset and Generalization-Reinforced Semi-Supervised Learning. Yan Luo, Min Shi, Yu Tian, Tobias Elze, Mengyu Wang |
| 2023 | Hashing Neural Video Decomposition with Multiplicative Residuals in Space-Time. Cheng-Hung Chan, Cheng-Yang Yuan, Cheng Sun, Hwann-Tzong Chen |
| 2023 | Helping Hands: An Object-Aware Ego-Centric Video Recognition Model. Chuhan Zhang, Ankush Gupta, Andrew Zisserman |
| 2023 | Heterogeneous Diversity Driven Active Learning for Multi-Object Tracking. Rui Li, Baopeng Zhang, Jun Liu, Wei Liu, Jian Zhao, Zhu Teng |
| 2023 | Heterogeneous Forgetting Compensation for Class-Incremental Learning. Jiahua Dong, Wenqi Liang, Yang Cong, Gan Sun |
| 2023 | HiFace: High-Fidelity 3D Face Reconstruction by Learning Static and Dynamic Details. Zenghao Chai, Tianke Zhang, Tianyu He, Xu Tan, Tadas Baltrusaitis, HsiangTao Wu, Runnan Li, Sheng Zhao, Chun Yuan, Jiang Bian |
| 2023 | HiLo: Exploiting High Low Frequency Relations for Unbiased Panoptic Scene Graph Generation. Zijian Zhou, Miaojing Shi, Holger Caesar |
| 2023 | HiTeA: Hierarchical Temporal-Aware Video-Language Pre-training. Qinghao Ye, Guohai Xu, Ming Yan, Haiyang Xu, Qi Qian, Ji Zhang, Fei Huang |
| 2023 | HiVLP: Hierarchical Interactive Video-Language Pre-Training. Bin Shao, Jianzhuang Liu, Renjing Pei, Songcen Xu, Peng Dai, Juwei Lu, Weimian Li, Youliang Yan |
| 2023 | Hidden Biases of End-to-End Driving Models. Bernhard Jaeger, Kashyap Chitta, Andreas Geiger |
| 2023 | Hiding Visual Information via Obfuscating Adversarial Perturbations. Zhigang Su, Dawei Zhou, Nannan Wang, Decheng Liu, Zhen Wang, Xinbo Gao |
| 2023 | Hierarchical Contrastive Learning for Pattern-Generalizable Image Corruption Detection. Xin Feng, Yifeng Xu, Guangming Lu, Wenjie Pei |
| 2023 | Hierarchical Generation of Human-Object Interactions with Diffusion Probabilistic Models. Huaijin Pi, Sida Peng, Minghui Yang, Xiaowei Zhou, Hujun Bao |
| 2023 | Hierarchical Point-based Active Learning for Semi-supervised Point Cloud Semantic Segmentation. Zongyi Xu, Bo Yuan, Shanshan Zhao, Qianni Zhang, Xinbo Gao |
| 2023 | Hierarchical Prior Mining for Non-local Multi-View Stereo. Chunlin Ren, Qingshan Xu, Shikun Zhang, Jiaqi Yang |
| 2023 | Hierarchical Spatio-Temporal Representation Learning for Gait Recognition. Lei Wang, Bo Liu, Fangfang Liang, Bincheng Wang |
| 2023 | Hierarchical Visual Categories Modeling: A Joint Representation Learning and Density Estimation Framework for Out-of-Distribution Detection. Jinglun Li, Xinyu Zhou, Pinxue Guo, Yixuan Sun, Yiwen Huang, Weifeng Ge, Wenqiang Zhang |
| 2023 | Hierarchical Visual Primitive Experts for Compositional Zero-Shot Learning. Hanjae Kim, Jiyoung Lee, Seongheon Park, Kwanghoon Sohn |
| 2023 | Hierarchically Decomposed Graph Convolutional Networks for Skeleton-Based Action Recognition. Jungho Lee, Minhyeok Lee, Dogyoon Lee, Sangyoun Lee |
| 2023 | High Quality Entity Segmentation. Lu Qi, Jason Kuen, Tiancheng Shen, Jiuxiang Gu, Wenbo Li, Weidong Guo, Jiaya Jia, Zhe Lin, Ming-Hsuan Yang |
| 2023 | High-Resolution Document Shadow Removal via A Large-Scale Real-World Dataset and A Frequency-Aware Shadow Erasing Net. Zinuo Li, Xuhang Chen, Chi-Man Pun, Xiaodong Cun |
| 2023 | Holistic Geometric Feature Learning for Structured Reconstruction. Ziqiong Lu, Linxi Huan, Qiyuan Ma, Xianwei Zheng |
| 2023 | Holistic Label Correction for Noisy Multi-Label Classification. Xiaobo Xia, Jiankang Deng, Wei Bao, Yuxuan Du, Bo Han, Shiguang Shan, Tongliang Liu |
| 2023 | HollowNeRF: Pruning Hashgrid-Based NeRFs with Trainable Collision Mitigation. Xiufeng Xie, Riccardo Gherardi, Zhihong Pan, Stephen Huang |
| 2023 | HoloAssist: an Egocentric Human Interaction Dataset for Interactive AI Assistants in the Real World. Xin Wang, Taein Kwon, Mahdi Rad, Bowen Pan, Ishani Chakraborty, Sean Andrist, Dan Bohus, Ashley Feniello, Bugra Tekin, Felipe Vieira Frujeri, Neel Joshi, Marc Pollefeys |
| 2023 | HoloFusion: Towards Photo-realistic 3D Generative Modeling. Animesh Karnewar, Niloy J. Mitra, Andrea Vedaldi, David Novotný |
| 2023 | Homeomorphism Alignment for Unsupervised Domain Adaptation. Lihua Zhou, Mao Ye, Xiatian Zhu, Siying Xiao, Xuqian Fan, Ferrante Neri |
| 2023 | Homography Guided Temporal Fusion for Road Line and Marking Segmentation. Shan Wang, Chuong Nguyen, Jiawei Liu, Kaihao Zhang, Wenhan Luo, Yanhao Zhang, Sundaram Muthu, Fahira Afzal Maken, Hongdong Li |
| 2023 | HopFIR: Hop-wise GraphFormer with Intragroup Joint Refinement for 3D Human Pose Estimation. Kai Zhai, Qiang Nie, Bo Ouyang, Xiang Li, Shanlin Yang |
| 2023 | Householder Projector for Unsupervised Latent Semantics Discovery. Yue Song, Jichao Zhang, Nicu Sebe, Wei Wang |
| 2023 | How Far Pre-trained Models Are from Neural Collapse on the Target Dataset Informs their Transferability. Zijian Wang, Yadan Luo, Liang Zheng, Zi Huang, Mahsa Baktashmotlagh |
| 2023 | How Much Temporal Long-Term Context is Needed for Action Segmentation? Emad Bahrami Rad, Gianpiero Francesca, Juergen Gall |
| 2023 | How to Boost Face Recognition with StyleGAN? Artem Sevastopolsky, Yury Malkov, Nikita Durasov, Luisa Verdoliva, Matthias Nießner |
| 2023 | How to choose your best allies for a transferable attack? Thibault Maho, Seyed-Mohsen Moosavi-Dezfooli, Teddy Furon |
| 2023 | Human Part-wise 3D Motion Context Learning for Sign Language Recognition. Taeryung Lee, Yeonguk Oh, Kyoung Mu Lee |
| 2023 | Human Preference Score: Better Aligning Text-to-image Models with Human Preference. Xiaoshi Wu, Keqiang Sun, Feng Zhu, Rui Zhao, Hongsheng Li |
| 2023 | Human from Blur: Human Pose Tracking from Blurry Images. Yiming Zhao, Denys Rozumnyi, Jie Song, Otmar Hilliges, Marc Pollefeys, Martin R. Oswald |
| 2023 | Human-Inspired Facial Sketch Synthesis with Dynamic Adaptation. Fei Gao, Yifan Zhu, Chang Jiang, Nannan Wang |
| 2023 | Human-centric Scene Understanding for 3D Large-scale Scenarios. Yiteng Xu, Peishan Cong, Yichen Yao, Runnan Chen, Yuenan Hou, Xinge Zhu, Xuming He, Jingyi Yu, Yuexin Ma |
| 2023 | HumanMAC: Masked Motion Completion for Human Motion Prediction. Ling-Hao Chen, Jiawei Zhang, Yewen Li, Yiren Pang, Xiaobo Xia, Tongliang Liu |
| 2023 | HumanSD: A Native Skeleton-Guided Diffusion Model for Human Image Generation. Xuan Ju, Ailing Zeng, Chenchen Zhao, Jianan Wang, Lei Zhang, Qiang Xu |
| 2023 | Humans in 4D: Reconstructing and Tracking Humans with Transformers. Shubham Goel, Georgios Pavlakos, Jathushan Rajasegaran, Angjoo Kanazawa, Jitendra Malik |
| 2023 | Hybrid Spectral Denoising Transformer with Guided Attention. Zeqiang Lai, Chenggang Yan, Ying Fu |
| 2023 | HybridAugment++: Unified Frequency Spectra Perturbations for Model Robustness. Mehmet Kerim Yucel, Ramazan Gokberk Cinbis, Pinar Duygulu |
| 2023 | HyperDiffusion: Generating Implicit Neural Fields with Weight-Space Diffusion. Ziya Erkoç, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai |
| 2023 | HyperReenact: One-Shot Reenactment via Jointly Learning to Refine and Retarget Faces. Stella Bounareli, Christos Tzelepis, Vasileios Argyriou, Ioannis Patras, Georgios Tzimiropoulos |
| 2023 | Hyperbolic Audio-visual Zero-shot Learning. Jie Hong, Zeeshan Hayder, Junlin Han, Pengfei Fang, Mehrtash Harandi, Lars Petersson |
| 2023 | Hyperbolic Chamfer Distance for Point Cloud Completion. Fangzhou Lin, Yun Yue, Songlin Hou, Xuechu Yu, Yajun Xu, Kazunori D. Yamada, Ziming Zhang |
| 2023 | I can't believe there's no images! : Learning Visual Tasks Using Only Language Supervision. Sophia Gu, Christopher Clark, Aniruddha Kembhavi |
| 2023 | I-ViT: Integer-only Quantization for Efficient Vision Transformer Inference. Zhikai Li, Qingyi Gu |
| 2023 | ICD-Face: Intra-class Compactness Distillation for Face Recognition. Zhipeng Yu, Jiaheng Liu, Haoyu Qin, Yichao Wu, Kun Hu, Jiayi Tian, Ding Liang |
| 2023 | ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization. Jae-Hyeok Lee, Dae-Shik Kim |
| 2023 | ICICLE: Interpretable Class Incremental Continual Learning. Dawid Rymarczyk, Joost van de Weijer, Bartosz Zielinski, Bartlomiej Twardowski |
| 2023 | ICL-D3IE: In-Context Learning with Diverse Demonstrations Updating for Document Information Extraction. Jiabang He, Lei Wang, Yi Hu, Ning Liu, Hui Liu, Xing Xu, Heng Tao Shen |
| 2023 | IDiff-Face: Synthetic-based Face Recognition through Fizzy Identity-Conditioned Diffusion Models. Fadi Boutros, Jonas Henry Grebe, Arjan Kuijper, Naser Damer |
| 2023 | IEEE/CVF International Conference on Computer Vision, ICCV 2023, Paris, France, October 1-6, 2023 |
| 2023 | IHNet: Iterative Hierarchical Network Guided by High-Resolution Estimated Information for Scene Flow Estimation. Yun Wang, Cheng Chi, Min Lin, Xin Yang |
| 2023 | IIEU: Rethinking Neural Feature Activation from Decision-Making. Sudong Cai |
| 2023 | INSTA-BNN: Binary Neural Network with INSTAnce-aware Threshold. Changhun Lee, Hyungjun Kim, Eunhyeok Park, Jae-Joon Kim |
| 2023 | INT2: Interactive Trajectory Prediction at Intersections. Zhijie Yan, Pengfei Li, Zheng Fu, Shaocong Xu, Yongliang Shi, Xiaoxue Chen, Yuhang Zheng, Yang Li, Tianyu Liu, Chuxuan Li, Nairui Luo, Xu Gao, Yilun Chen, Zuoxu Wang, Yifeng Shi, Pengfei Huang, Zhengxiao Han, Jirui Yuan, Jiangtao Gong, Guyue Zhou, Hang Zhao, Hao Zhao |
| 2023 | IOMatch: Simplifying Open-Set Semi-Supervised Learning with Joint Inliers and Outliers Utilization. Zekun Li, Lei Qi, Yinghuan Shi, Yang Gao |
| 2023 | IST-Net: Prior-free Category-level Pose Estimation with Implicit Space Transformation. JianHui Liu, Yukang Chen, Xiaoqing Ye, Xiaojuan Qi |
| 2023 | ITI-Gen: Inclusive Text-to-Image Generation. Cheng Zhang, Xuanbai Chen, Siqi Chai, Chen Henry Wu, Dmitry Lagun, Thabo Beeler, Fernando De la Torre |
| 2023 | Identification of Systematic Errors of Image Classifiers on Rare Subgroups. Jan Hendrik Metzen, Robin Hutmacher, N. Grace Hua, Valentyn Boreiko, Dan Zhang |
| 2023 | Identity-Consistent Aggregation for Video Object Detection. Chaorui Deng, Da Chen, Qi Wu |
| 2023 | Identity-Seeking Self-Supervised Representation Learning for Generalizable Person Re-identification. Zhaopeng Dou, Zhongdao Wang, Yali Li, Shengjin Wang |
| 2023 | ImGeoNet: Image-induced Geometry-aware Voxel Representation for Multi-view 3D Object Detection. Tao Tu, Shun-Po Chuang, Yu-Lun Liu, Cheng Sun, Ke Zhang, Donna Roy, Cheng-Hao Kuo, Min Sun |
| 2023 | Image-free Classifier Injection for Zero-Shot Classification. Anders Christensen, Massimiliano Mancini, A. Sophia Koepke, Ole Winther, Zeynep Akata |
| 2023 | ImbSAM: A Closer Look at Sharpness-Aware Minimization in Class-Imbalanced Recognition. Yixuan Zhou, Yi Qu, Xing Xu, Hengtao Shen |
| 2023 | Imitator: Personalized Speech-driven 3D Facial Animation. Balamurugan Thambiraja, Ikhsanul Habibie, Sadegh Aliakbarian, Darren Cosker, Christian Theobalt, Justus Thies |
| 2023 | Implicit Autoencoder for Point-Cloud Self-Supervised Representation Learning. Siming Yan, Zhenpei Yang, Haoxiang Li, Chen Song, Li Guan, Hao Kang, Gang Hua, Qixing Huang |
| 2023 | Implicit Identity Representation Conditioned Memory Compensation Network for Talking Head Video Generation. Fa-Ting Hong, Dan Xu |
| 2023 | Implicit Neural Representation for Cooperative Low-light Image Enhancement. Shuzhou Yang, Moxuan Ding, Yanmin Wu, Zihan Li, Jian Zhang |
| 2023 | Implicit Temporal Modeling with Learnable Alignment for Video Recognition. Shuyuan Tu, Qi Dai, Zuxuan Wu, Zhi-Qi Cheng, Han Hu, Yu-Gang Jiang |
| 2023 | Improved Knowledge Transfer for Semi-supervised Domain Adaptation via Trico Training Strategy. Ba Hung Ngo, Yeon Jeong Chae, Jung Eun Kwon, Jae Hyeon Park, Sung In Cho |
| 2023 | Improved Visual Fine-tuning with Natural Language Supervision. Junyang Wang, Yuanhong Xu, Juhua Hu, Ming Yan, Jitao Sang, Qi Qian |
| 2023 | Improving 3D Imaging with Pre-Trained Perpendicular 2D Diffusion Models. Suhyeon Lee, Hyungjin Chung, Minyoung Park, Jonghyuk Park, Wi-Sun Ryu, Jong Chul Ye |
| 2023 | Improving Adversarial Robustness of Masked Autoencoders via Test-time Frequency-domain Prompting. Qidong Huang, Xiaoyi Dong, Dongdong Chen, Yinpeng Chen, Lu Yuan, Gang Hua, Weiming Zhang, Nenghai Yu |
| 2023 | Improving CLIP Fine-tuning Performance. Yixuan Wei, Han Hu, Zhenda Xie, Ze Liu, Zheng Zhang, Yue Cao, Jianmin Bao, Dong Chen, Baining Guo |
| 2023 | Improving Continuous Sign Language Recognition with Cross-Lingual Signs. Fangyun Wei, Yutong Chen |
| 2023 | Improving Diversity in Zero-Shot GAN Adaptation with Semantic Variations. Seogkyu Jeon, Bei Liu, Pilhyeon Lee, Kibeom Hong, Jianlong Fu, Hyeran Byun |
| 2023 | Improving Equivariance in State-of-the-Art Supervised Depth and Normal Predictors. Yuanyi Zhong, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth |
| 2023 | Improving Generalization in Visual Reinforcement Learning via Conflict-aware Gradient Agreement Augmentation. Siao Liu, Zhaoyu Chen, Yang Liu, Yuzheng Wang, Dingkang Yang, Zhile Zhao, Ziqing Zhou, Xie Yi, Wei Li, Wenqiang Zhang, Zhongxue Gan |
| 2023 | Improving Generalization of Adversarial Training via Robust Critical Fine-Tuning. Kaijie Zhu, Xixu Hu, Jindong Wang, Xing Xie, Ge Yang |
| 2023 | Improving Lens Flare Removal with General-Purpose Pipeline and Multiple Light Sources Recovery. Yuyan Zhou, Dong Liang, Songcan Chen, Sheng-Jun Huang, Shuo Yang, Chongyi Li |
| 2023 | Improving Online Lane Graph Extraction by Object-Lane Clustering. Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool |
| 2023 | Improving Pixel-based MIM by Reducing Wasted Modeling Capability. Yuan Liu, Songyang Zhang, Jiacheng Chen, Zhaohui Yu, Kai Chen, Dahua Lin |
| 2023 | Improving Representation Learning for Histopathologic Images with Cluster Constraints. Weiyi Wu, Chongyang Gao, Joseph DiPalma, Soroush Vosoughi, Saeed Hassanpour |
| 2023 | Improving Sample Quality of Diffusion Models Using Self-Attention Guidance. Susung Hong, Gyuseong Lee, Wooseok Jang, Seungryong Kim |
| 2023 | Improving Transformer-based Image Matching by Cascaded Capturing Spatially Informative Keypoints. Chenjie Cao, Yanwei Fu |
| 2023 | Improving Unsupervised Visual Program Inference with Code Rewriting Families. Aditya Ganeshan, R. Kenny Jones, Daniel Ritchie |
| 2023 | In-Style: Bridging Text and Uncurated Videos with Style Transfer for Text-Video Retrieval. Nina Shvetsova, Anna Kukleva, Bernt Schiele, Hilde Kuehne |
| 2023 | Incremental Generalized Category Discovery. Bingchen Zhao, Oisin Mac Aodha |
| 2023 | Indoor Depth Recovery Based on Deep Unfolding with Non-Local Prior. Yuhui Dai, Junkang Zhang, Faming Fang, Guixu Zhang |
| 2023 | Inducing Neural Collapse to a Fixed Hierarchy-Aware Frame for Reducing Mistake Severity. Tong Liang, Jim Davis |
| 2023 | InfiniCity: Infinite-Scale City Synthesis. Chieh Hubert Lin, Hsin-Ying Lee, Willi Menapace, Menglei Chai, Aliaksandr Siarohin, Ming-Hsuan Yang, Sergey Tulyakov |
| 2023 | Informative Data Mining for One-shot Cross-Domain Semantic Segmentation. Yuxi Wang, Jian Liang, Jun Xiao, Shuqi Mei, Yuran Yang, Zhaoxiang Zhang |
| 2023 | Inherent Redundancy in Spiking Neural Networks. Man Yao, Jiakui Hu, Guangshe Zhao, Yaoyuan Wang, Ziyang Zhang, Bo Xu, Guoqi Li |
| 2023 | Innovating Real Fisheye Image Correction with Dual Diffusion Architecture. Shangrong Yang, Chunyu Lin, Kang Liao, Yao Zhao |
| 2023 | Inspecting the Geographical Representativeness of Images from Text-to-Image Models. Abhipsa Basu, R. Venkatesh Babu, Danish Pruthi |
| 2023 | Instance Neural Radiance Field. Yichen Liu, Benran Hu, Junkai Huang, Yu-Wing Tai, Chi-Keung Tang |
| 2023 | Instance and Category Supervision are Alternate Learners for Continual Learning. Xudong Tian, Zhizhong Zhang, Xin Tan, Jun Liu, Chengjie Wang, Yanyun Qu, Guannan Jiang, Yuan Xie |
| 2023 | Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models. Yaohua Zha, Jinpeng Wang, Tao Dai, Bin Chen, Zhi Wang, Shu-Tao Xia |
| 2023 | Instruct-NeRF2NeRF: Editing 3D Scenes with Instructions. Ayaan Haque, Matthew Tancik, Alexei A. Efros, Aleksander Holynski, Angjoo Kanazawa |
| 2023 | Integrally Migrating Pre-trained Transformer Encoder-decoders for Visual Object Detection. Feng Liu, Xiaosong Zhang, Zhiliang Peng, Zonghao Guo, Fang Wan, Xiangyang Ji, Qixiang Ye |
| 2023 | Integrating Boxes and Masks: A Multi-Object Framework for Unified Visual Tracking and Segmentation. Yuanyou Xu, Zongxin Yang, Yi Yang |
| 2023 | IntentQA: Context-aware Video Intent Reasoning. Jiapeng Li, Ping Wei, Wenjuan Han, Lifeng Fan |
| 2023 | Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification. Declan McIntosh, Alexandra Branzan Albu |
| 2023 | InterDiff: Generating 3D Human-Object Interactions with Physics-Informed Diffusion. Sirui Xu, Zhengyuan Li, Yu-Xiong Wang, Liang-Yan Gui |
| 2023 | InterFormer Real-time Interactive Image Segmentation. You Huang, Hao Yang, Ke Sun, Shengchuan Zhang, Liujuan Cao, Guannan Jiang, Rongrong Ji |
| 2023 | Interaction-aware Joint Attention Estimation Using People Attributes. Chihiro Nakatani, Hiroaki Kawashima, Norimichi Ukita |
| 2023 | Interactive Class-Agnostic Object Counting. Yifeng Huang, Viresh Ranjan, Minh Hoai |
| 2023 | IntrinsicNeRF: Learning Intrinsic Neural Radiance Fields for Editable Novel View Synthesis. Weicai Ye, Shuo Chen, Chong Bao, Hujun Bao, Marc Pollefeys, Zhaopeng Cui, Guofeng Zhang |
| 2023 | Introducing Language Guidance in Prompt-based Continual Learning. Muhammad Gul Zain Ali Khan, Muhammad Ferjad Naeem, Luc Van Gool, Didier Stricker, Federico Tombari, Muhammad Zeshan Afzal |
| 2023 | Invariant Feature Regularization for Fair Face Recognition. Jiali Ma, Zhongqi Yue, Tomoyuki Kagaya, Tomoki Suzuki, Jayashree Karlekar, Sugiri Pranata, Hanwang Zhang |
| 2023 | Invariant Training 2D-3D Joint Hard Samples for Few-Shot Point Cloud Recognition. Xuanyu Yi, Jiajun Deng, Qianru Sun, Xian-Sheng Hua, Joo-Hwee Lim, Hanwang Zhang |
| 2023 | Inverse Compositional Learning for Weakly-supervised Relation Grounding. Huan Li, Ping Wei, Zeyu Ma, Nanning Zheng |
| 2023 | Inverse problem regularization with hierarchical variational autoencoders. Jean Prost, Antoine Houdard, Andrés Almansa, Nicolas Papadakis |
| 2023 | Is Imitation All You Need? Generalized Decision-Making with Dual-Phase Training. Yao Wei, Yanchao Sun, Ruijie Zheng, Sai Vemprala, Rogerio Bonatti, Shuhang Chen, Ratnesh Madaan, Zhongjie Ba, Ashish Kapoor, Shuang Ma |
| 2023 | Isomer: Isomerous Transformer for Zero-shot Video Object Segmentation. Yichen Yuan, Yifan Wang, Lijun Wang, Xiaoqi Zhao, Huchuan Lu, Yu Wang, Weibo Su, Lei Zhang |
| 2023 | Iterative Denoiser and Noise Estimator for Self-Supervised Image Denoising. Yunhao Zou, Chenggang Yan, Ying Fu |
| 2023 | Iterative Prompt Learning for Unsupervised Backlit Image Enhancement. Zhexin Liang, Chongyi Li, Shangchen Zhou, Ruicheng Feng, Chen Change Loy |
| 2023 | Iterative Soft Shrinkage Learning for Efficient Image Super-Resolution. Jiamian Wang, Huan Wang, Yulun Zhang, Yun Fu, Zhiqiang Tao |
| 2023 | Iterative Superquadric Recomposition of 3D Objects from Multiple Views. Stephan Alaniz, Massimiliano Mancini, Zeynep Akata |
| 2023 | JOTR: 3D Joint Contrastive Learning with Transformers for Occluded Human Mesh Recovery. Jiahao Li, Zongxin Yang, Xiaohan Wang, Jianxin Ma, Chang Zhou, Yi Yang |
| 2023 | Joint Demosaicing and Deghosting of Time-Varying Exposures for Single-Shot HDR Imaging. Jungwoo Kim, Min H. Kim |
| 2023 | Joint Implicit Neural Representation for High-fidelity and Compact Vector Fonts. Chia-Hao Chen, Ying-Tian Liu, Zhifei Zhang, Yuan-Chen Guo, Song-Hai Zhang |
| 2023 | Joint Metrics Matter: A Better Standard for Trajectory Forecasting. Erica Weng, Hana Hoshino, Deva Ramanan, Kris Kitani |
| 2023 | Joint-Relation Transformer for Multi-Person Motion Prediction. Qingyao Xu, Weibo Mao, Jingze Gong, Chenxin Xu, Siheng Chen, Weidi Xie, Ya Zhang, Yanfeng Wang |
| 2023 | Jumping through Local Minima: Quantization in the Loss Landscape of Vision Transformers. Natalia Frumkin, Dibakar Gope, Diana Marculescu |
| 2023 | Kecor: Kernel Coding Rate Maximization for Active 3D Object Detection. Yadan Luo, Zhuoxiao Chen, Zhen Fang, Zheng Zhang, Mahsa Baktashmotlagh, Zi Huang |
| 2023 | Keep It SimPool: Who Said Supervised Transformers Suffer from Attention Deficit? Bill Psomas, Ioannis Kakogeorgiou, Konstantinos Karantzalos, Yannis Avrithis |
| 2023 | Kick Back & Relax: Learning to Reconstruct the World by Watching SlowTV. Jaime Spencer, Simon Hadfield, Chris Russell, Richard Bowden |
| 2023 | Knowing Where to Focus: Event-aware Transformer for Video Grounding. Jinhyun Jang, Jungin Park, Jin Kim, Hyeongjun Kwon, Kwanghoon Sohn |
| 2023 | Knowledge Proxy Intervention for Deconfounded Video Question Answering. Jiangtong Li, Li Niu, Liqing Zhang |
| 2023 | Knowledge Restore and Transfer for Multi-Label Class-Incremental Learning. Songlin Dong, Haoyu Luo, Yuhang He, Xing Wei, Jie Cheng, Yihong Gong |
| 2023 | Knowledge-Aware Federated Active Learning with Non-IID Data. Yu-Tong Cao, Ye Shi, Baosheng Yu, Jingya Wang, Dacheng Tao |
| 2023 | Knowledge-Aware Prompt Tuning for Generalizable Vision-Language Models. Baoshuo Kan, Teng Wang, Wenpeng Lu, Xiantong Zhen, Weili Guan, Feng Zheng |
| 2023 | Knowledge-Spreader: Learning Semi-Supervised Facial Action Dynamics by Consistifying Knowledge Granularity. Xiaotian Li, Xiang Zhang, Taoyue Wang, Lijun Yin |
| 2023 | L-DAWA: Layer-wise Divergence Aware Weight Aggregation in Federated Self-Supervised Visual Representation Learning. Yasar Abbas Ur Rehman, Yan Gao, Pedro Porto Buarque de Gusmão, Mina Alibeigi, Jiajun Shen, Nicholas D. Lane |
| 2023 | LA-Net: Landmark-Aware Learning for Reliable Facial Expression Recognition under Label Noise. Zhiyu Wu, Jinshi Cui |
| 2023 | LAC - Latent Action Composition for Skeleton-based Action Segmentation. Di Yang, Yaohui Wang, Antitza Dantcheva, Quan Kong, Lorenzo Garattoni, Gianpiero Francesca, François Brémond |
| 2023 | LAN-HDR: Luminance-based Alignment Network for High Dynamic Range Video Reconstruction. Haesoo Chung, Nam Ik Cho |
| 2023 | LATR: 3D Lane Detection from Monocular Images with Transformer. Yueru Luo, Chaoda Zheng, Xu Yan, Tang Kun, Chao Zheng, Shuguang Cui, Zhen Li |
| 2023 | LAW-Diffusion: Complex Scene Generation by Diffusion with Layouts. Binbin Yang, Yi Luo, Ziliang Chen, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2023 | LD-ZNet: A Latent Diffusion Approach for Text-Based Image Segmentation. Koutilya PNVR, Bharat Singh, Pallabi Ghosh, Behjat Siddiquie, David Jacobs |
| 2023 | LDL: Line Distance Functions for Panoramic Localization. Junho Kim, Changwoon Choi, Hojun Jang, Young Min Kim |
| 2023 | LDP-Feat: Image Features with Local Differential Privacy. Francesco Pittaluga, Bingbing Zhuang |
| 2023 | LEA Yaguan Qian, Shuke He, Chenyu Zhao, Jiaqiang Sha, Wei Wang, Bin Wang |
| 2023 | LERF: Language Embedded Radiance Fields. Justin Kerr, Chung Min Kim, Ken Goldberg, Angjoo Kanazawa, Matthew Tancik |
| 2023 | LFS-GAN: Lifelong Few-Shot Image Generation. Juwon Seo, Ji-Su Kang, Gyeong-Moon Park |
| 2023 | LIMITR: Leveraging Local Information for Medical Image-Text Representation. Gefen Dawidowicz, Elad Hirsch, Ayellet Tal |
| 2023 | LIST: Learning Implicitly from Spatial Transformers for Single-View 3D Reconstruction. Mohammad Samiul Arshad, William J. Beksi |
| 2023 | LISTER: Neighbor Decoding for Length-Insensitive Scene Text Recognition. Changxu Cheng, Peng Wang, Cheng Da, Qi Zheng, Cong Yao |
| 2023 | LLM-Planner: Few-Shot Grounded Planning for Embodied Agents with Large Language Models. Chan Hee Song, Brian M. Sadler, Jiaman Wu, Wei-Lun Chao, Clayton Washington, Yu Su |
| 2023 | LMR: A Large-Scale Multi-Reference Dataset for Reference-based Super-Resolution. Lin Zhang, Xin Li, Dongliang He, Fu Li, Errui Ding, Zhaoxiang Zhang |
| 2023 | LNPL-MIL: Learning from Noisy Pseudo Labels for Promoting Multiple Instance Learning in Whole Slide Image. Zhuchen Shao, Yifeng Wang, Yang Chen, Hao Bian, Shaohui Liu, Haoqian Wang, Yongbing Zhang |
| 2023 | LPFF: A Portrait Dataset for Face Generators Across Large Poses. Yiqian Wu, Jing Zhang, Hongbo Fu, Xiaogang Jin |
| 2023 | LRRU: Long-short Range Recurrent Updating Networks for Depth Completion. Yufei Wang, Bo Li, Ge Zhang, Qi Liu, Tao Gao, Yuchao Dai |
| 2023 | LU-NeRF: Scene and Pose Estimation by Synchronizing Local Unposed NeRFs. Zezhou Cheng, Carlos Esteves, Varun Jampani, Abhishek Kar, Subhransu Maji, Ameesh Makadia |
| 2023 | LVOS: A Benchmark for Long-term Video Object Segmentation. Lingyi Hong, Wenchao Chen, Zhongying Liu, Wei Zhang, Pinxue Guo, Zhaoyu Chen, Wenqiang Zhang |
| 2023 | LaPE: Layer-adaptive Position Embedding for Vision Transformers with Independent Layer Normalization. Runyi Yu, Zhennan Wang, Yinhuai Wang, Kehan Li, Chang Liu, Haoyi Duan, Xiangyang Ji, Jie Chen |
| 2023 | LaRS: A Diverse Panoptic Maritime Obstacle Detection Dataset and Benchmark. Lojze Zust, Janez Pers, Matej Kristan |
| 2023 | Label Shift Adapter for Test-Time Adaptation under Covariate and Label Shifts. Sunghyun Park, Seunghan Yang, Jaegul Choo, Sungrack Yun |
| 2023 | Label-Efficient Online Continual Object Detection in Streaming Video. Jay Zhangjie Wu, David Junhao Zhang, Wynne Hsu, Mengmi Zhang, Mike Zheng Shou |
| 2023 | Label-Free Event-based Object Recognition via Joint Learning with Image Reconstruction from Events. Hoonhee Cho, Hyeonseong Kim, Yujeong Chae, Kuk-Jin Yoon |
| 2023 | Label-Guided Knowledge Distillation for Continual Semantic Segmentation on 2D Images and 3D Point Clouds. Ze Yang, Ruibo Li, Evan Ling, Chi Zhang, Yiming Wang, Dezhao Huang, Keng Teck Ma, Minhoe Hur, Guosheng Lin |
| 2023 | Label-Noise Learning with Intrinsically Long-Tailed Data. Yang Lu, Yiliang Zhang, Bo Han, Yiu-ming Cheung, Hanzi Wang |
| 2023 | Landscape Learning for Neural Network Inversion. Ruoshi Liu, Chengzhi Mao, Purva Tendulkar, Hao Wang, Carl Vondrick |
| 2023 | Large Selective Kernel Network for Remote Sensing Object Detection. Yuxuan Li, Qibin Hou, Zhaohui Zheng, Ming-Ming Cheng, Jian Yang, Xiang Li |
| 2023 | Large-Scale Land Cover Mapping with Fine-Grained Classes via Class-Aware Semi-Supervised Semantic Segmentation. Runmin Dong, Lichao Mou, Mengxuan Chen, Weijia Li, Xin-Yi Tong, Shuai Yuan, Lixian Zhang, Juepeng Zheng, Xiao Xiang Zhu, Haohuan Fu |
| 2023 | Large-Scale Person Detection and Localization using Overhead Fisheye Cameras. Lu Yang, Liulei Li, Xueshi Xin, Yifan Sun, Qing Song, Wenguan Wang |
| 2023 | Late Stopping: Avoiding Confidently Learning from Mislabeled Examples. Suqin Yuan, Lei Feng, Tongliang Liu |
| 2023 | Latent-OFER: Detect, Mask, and Reconstruct with Latent Vectors for Occluded Facial Expression Recognition. Isack Lee, Eungi Lee, Seok Bong Yoo |
| 2023 | LayoutDiffusion: Improving Graphic Layout Generation by Discrete Diffusion Probabilistic Models. Junyi Zhang, Jiaqi Guo, Shizhao Sun, Jian-Guang Lou, Dongmei Zhang |
| 2023 | LeaF: Learning Frames for 4D Point Cloud Sequence Understanding. Yunze Liu, Junyu Chen, Zekai Zhang, Jingwei Huang, Li Yi |
| 2023 | Leaping Into Memories: Space-Time Deep Feature Synthesis. Alexandros Stergiou, Nikos Deligiannis |
| 2023 | Learn TAROT with MENTOR: A Meta-Learned Self-supervised Approach for Trajectory Prediction. Mozhgan Pourkeshavarz, Changhe Chen, Amir Rasouli |
| 2023 | Learned Compressive Representations for Single-Photon 3D Imaging. Felipe Gutierrez-Barragan, Fangzhou Mu, Andrei Ardelean, Atul Ingle, Claudio Bruschini, Edoardo Charbon, Yin Li, Mohit Gupta, Andreas Velten |
| 2023 | Learned Image Reasoning Prior Penetrates Deep Unfolding Network for Panchromatic and Multi-Spectral Image Fusion. Man Zhou, Jie Huang, Naishan Zheng, Chongyi Li |
| 2023 | Learning A Room with the Occ-SDF Hybrid: Signed Distance Function Mingled with Occupancy Aids Scene Representation. Xiaoyang Lyu, Peng Dai, Zizhang Li, Dongyu Yan, Yi Lin, Yifan Peng, Xiaojuan Qi |
| 2023 | Learning Adaptive Neighborhoods for Graph Neural Networks. Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2023 | Learning Clothing and Pose Invariant 3D Shape Representation for Long-Term Person Re-Identification. Feng Liu, Minchul Kim, ZiAng Gu, Anil Jain, Xiaoming Liu |
| 2023 | Learning Concise and Descriptive Attributes for Visual Recognition. An Yan, Yu Wang, Yiwu Zhong, Chengyu Dong, Zexue He, Yujie Lu, William Yang Wang, Jingbo Shang, Julian J. McAuley |
| 2023 | Learning Concordant Attention via Target-aware Alignment for Visible-Infrared Person Re-identification. Jianbing Wu, Hong Liu, Yuxin Su, Wei Shi, Hao Tang |
| 2023 | Learning Continuous Exposure Value Representations for Single-Image HDR Reconstruction. Su-Kai Chen, Hung-Lin Yen, Yu-Lun Liu, Min-Hung Chen, Hou-Ning Hu, Wen-Hsiao Peng, Yen-Yu Lin |
| 2023 | Learning Correction Filter via Degradation-Adaptive Regression for Blind Single Image Super-Resolution. Hongyang Zhou, Xiaobin Zhu, Jianqing Zhu, Zheng Han, Shi-Xue Zhang, Jingyan Qin, Xu-Cheng Yin |
| 2023 | Learning Cross-Modal Affinity for Referring Video Object Segmentation Targeting Limited Samples. Guanghui Li, Mingqi Gao, Heng Liu, Xiantong Zhen, Feng Zheng |
| 2023 | Learning Cross-Representation Affinity Consistency for Sparsely Supervised Biomedical Instance Segmentation. Xiaoyu Liu, Wei Huang, Zhiwei Xiong, Shenglong Zhou, Yueyi Zhang, Xuejin Chen, Zheng-Jun Zha, Feng Wu |
| 2023 | Learning Data-Driven Vector-Quantized Degradation Model for Animation Video Super-Resolution. Zixi Tuo, Huan Yang, Jianlong Fu, Yujie Dun, Xueming Qian |
| 2023 | Learning Depth Estimation for Transparent and Mirror Surfaces. Alex Costanzino, Pierluigi Zama Ramirez, Matteo Poggi, Fabio Tosi, Stefano Mattoccia, Luigi Di Stefano |
| 2023 | Learning Fine-Grained Features for Pixel-wise Video Correspondences. Rui Li, Shenglong Zhou, Dong Liu |
| 2023 | Learning Foresightful Dense Visual Affordance for Deformable Object Manipulation. Ruihai Wu, Chuanruo Ning, Hao Dong |
| 2023 | Learning Gabor Texture Features for Fine-Grained Recognition. Lanyun Zhu, Tianrun Chen, Jianxiong Yin, Simon See, Jun Liu |
| 2023 | Learning Global-aware Kernel for Image Harmonization. Xintian Shen, Jiangning Zhang, Jun Chen, Shipeng Bai, Yue Han, Yabiao Wang, Chengjie Wang, Yong Liu |
| 2023 | Learning Hierarchical Features with Joint Latent Space Energy-Based Prior. Jiali Cui, Ying Nian Wu, Tian Han |
| 2023 | Learning Human Dynamics in Autonomous Driving Scenarios. Jingbo Wang, Ye Yuan, Zhengyi Luo, Kevin Xie, Dahua Lin, Umar Iqbal, Sanja Fidler, Sameh Khamis |
| 2023 | Learning Human-Human Interactions in Images from Weak Textual Supervision. Morris Alper, Hadar Averbuch-Elor |
| 2023 | Learning Image Harmonization in the Linear Color Space. Ke Xu, Gerhard Petrus Hancke, Rynson W. H. Lau |
| 2023 | Learning Image-Adaptive Codebooks for Class-Agnostic Image Restoration. Kechun Liu, Yitong Jiang, Inchang Choi, Jinwei Gu |
| 2023 | Learning Long-range Information with Dual-Scale Transformers for Indoor Scene Completion. Ziqi Wang, Fei Luo, Xiaoxiao Long, Wenxiao Zhang, Chunxia Xiao |
| 2023 | Learning Navigational Visual Representations with Semantic Map Supervision. Yicong Hong, Yang Zhou, Ruiyi Zhang, Franck Dernoncourt, Trung Bui, Stephen Gould, Hao Tan |
| 2023 | Learning Neural Eigenfunctions for Unsupervised Semantic Segmentation. Zhijie Deng, Yucen Luo |
| 2023 | Learning Neural Implicit Surfaces with Object-Aware Radiance Fields. Yiheng Zhang, Zhaofan Qiu, Yingwei Pan, Ting Yao, Tao Mei |
| 2023 | Learning Non-Local Spatial-Angular Correlation for Light Field Image Super-Resolution. Zhengyu Liang, Yingqian Wang, Longguang Wang, Jungang Yang, Shilin Zhou, Yulan Guo |
| 2023 | Learning Optical Flow from Event Camera with Rendered Dataset. Xinglong Luo, Kunming Luo, Ao Luo, Zhengning Wang, Ping Tan, Shuaicheng Liu |
| 2023 | Learning Point Cloud Completion without Complete Point Clouds: A Pose-Aware Approach. Jihun Kim, Hyeokjun Kwon, Yunseo Yang, Kuk-Jin Yoon |
| 2023 | Learning Pseudo-Relations for Cross-domain Semantic Segmentation. Dong Zhao, Shuang Wang, Qi Zang, Dou Quan, Xiutiao Ye, Rui Yang, Licheng Jiao |
| 2023 | Learning Rain Location Prior for Nighttime Deraining. Fan Zhang, Shaodi You, Yu Li, Ying Fu |
| 2023 | Learning Robust Representations with Information Bottleneck and Memory Network for RGB-D-based Gesture Recognition. Yunan Li, Huizhou Chen, Guanwen Feng, Qiguang Miao |
| 2023 | Learning Semi-supervised Gaussian Mixture Models for Generalized Category Discovery. Bingchen Zhao, Xin Wen, Kai Han |
| 2023 | Learning Shape Primitives via Implicit Convexity Regularization. Xiaoyang Huang, Yi Zhang, Kai Chen, Teng Li, Wenjun Zhang, Bingbing Ni |
| 2023 | Learning Spatial-context-aware Global Visual Feature Representation for Instance Image Retrieval. Zhongyan Zhang, Lei Wang, Luping Zhou, Piotr Koniusz |
| 2023 | Learning Support and Trivial Prototypes for Interpretable Image Classification. Chong Wang, Yuyuan Liu, Yuanhong Chen, Fengbei Liu, Yu Tian, Davis J. McCarthy, Helen Frazer, Gustavo Carneiro |
| 2023 | Learning Symmetry-Aware Geometry Correspondences for 6D Object Pose Estimation. Heng Zhao, Shenxing Wei, Dahu Shi, Wenming Tan, Zheyang Li, Ye Ren, Xing Wei, Yi Yang, Shiliang Pu |
| 2023 | Learning Trajectory-Word Alignments for Video-Language Tasks. Xu Yang, Zhangzikang Li, Haiyang Xu, Hanwang Zhang, Qinghao Ye, Chenliang Li, Ming Yan, Yu Zhang, Fei Huang, Songfang Huang |
| 2023 | Learning Unified Decompositional and Compositional NeRF for Editable Novel View Synthesis. Yuxin Wang, Wayne Wu, Dan Xu |
| 2023 | Learning Versatile 3D Shape Generation with Improved Auto-regressive Models. Simian Luo, Xuelin Qian, Yanwei Fu, Yinda Zhang, Ying Tai, Zhenyu Zhang, Chengjie Wang, Xiangyang Xue |
| 2023 | Learning Vision-and-Language Navigation from YouTube Videos. Kunyang Lin, Peihao Chen, Diwei Huang, Thomas H. Li, Mingkui Tan, Chuang Gan |
| 2023 | Learning a More Continuous Zero Level Set in Unsigned Distance Fields through Level Set Projection. Junsheng Zhou, Baorui Ma, Shujuan Li, Yu-Shen Liu, Zhizhong Han |
| 2023 | Learning by Sorting: Self-supervised Learning with Group Ordering Constraints. Nina Shvetsova, Felix Petersen, Anna Kukleva, Bernt Schiele, Hilde Kuehne |
| 2023 | Learning from Noisy Pseudo Labels for Semi-Supervised Temporal Action Localization. Kun Xia, Le Wang, Sanping Zhou, Gang Hua, Wei Tang |
| 2023 | Learning from Semantic Alignment between Unpaired Multiviews for Egocentric Video Recognition. Qitong Wang, Long Zhao, Liangzhe Yuan, Ting Liu, Xi Peng |
| 2023 | Learning in Imperfect Environment: Multi-Label Classification with Long-Tailed Distribution and Partial Labels. Wenqiao Zhang, Changshuo Liu, Lingze Zeng, Beng Chin Ooi, Siliang Tang, Yueting Zhuang |
| 2023 | Learning to Distill Global Representation for Sparse-View CT. Zilong Li, Chenglong Ma, Jie Chen, Junping Zhang, Hongming Shan |
| 2023 | Learning to Generate Semantic Layouts for Higher Text-Image Correspondence in Text-to-Image Synthesis. Minho Park, Jooyeol Yun, Seunghwan Choi, Jaegul Choo |
| 2023 | Learning to Ground Instructional Articles in Videos through Narrations. Effrosyni Mavroudi, Triantafyllos Afouras, Lorenzo Torresani |
| 2023 | Learning to Identify Critical States for Reinforcement Learning from Videos. Haozhe Liu, Mingchen Zhuge, Bing Li, Yuhui Wang, Francesco Faccio, Bernard Ghanem, Jürgen Schmidhuber |
| 2023 | Learning to Learn: How to Continuously Teach Humans and Machines. Parantak Singh, You Li, Ankur Sikarwar, Weixian Lei, Difei Gao, Morgan B. Talbot, Ying Sun, Mike Zheng Shou, Gabriel Kreiman, Mengmi Zhang |
| 2023 | Learning to Transform for Generalizable Instance-wise Invariance. Utkarsh Singhal, Carlos Esteves, Ameesh Makadia, Stella X. Yu |
| 2023 | Learning to Upsample by Learning to Sample. Wenze Liu, Hao Lu, Hongtao Fu, Zhiguo Cao |
| 2023 | Learning with Diversity: Self-Expanded Equalization for Better Generalized Deep Metric Learning. Jiexi Yan, Zhihui Yin, Erkun Yang, Yanhua Yang, Heng Huang |
| 2023 | Learning with Noisy Data for Semi-Supervised 3D Object Detection. Zehui Chen, Zhenyu Li, Shuo Wang, Dengpan Fu, Feng Zhao |
| 2023 | Lecture Presentations Multimodal Dataset: Towards Understanding Multimodality in Educational Videos. Dong Won Lee, Chaitanya Ahuja, Paul Pu Liang, Sanika Natu, Louis-Philippe Morency |
| 2023 | Lens Parameter Estimation for Realistic Depth of Field Modeling. Dominique Piché-Meunier, Yannick Hold-Geoffroy, Jianming Zhang, Jean-François Lalonde |
| 2023 | Less is More: Focus Attention for Efficient DETR. Dehua Zheng, Wenhui Dong, Hailin Hu, Xinghao Chen, Yunhe Wang |
| 2023 | Leveraging Inpainting for Single-Image Shadow Removal. Xiaoguang Li, Qing Guo, Rabab Abdelfattah, Di Lin, Wei Feng, Ivor W. Tsang, Song Wang |
| 2023 | Leveraging Intrinsic Properties for Non-Rigid Garment Alignment. Siyou Lin, Boyao Zhou, Zerong Zheng, Hongwen Zhang, Yebin Liu |
| 2023 | Leveraging SE(3) Equivariance for Learning 3D Geometric Shape Assembly. Ruihai Wu, Chenrui Tie, Yushi Du, Yan Zhao, Hao Dong |
| 2023 | Leveraging Spatio-Temporal Dependency for Skeleton-Based Action Recognition. Jungho Lee, Minhyeok Lee, Suhwan Cho, Sungmin Woo, Sungjun Jang, Sangyoun Lee |
| 2023 | LexLIP: Lexicon-Bottlenecked Language-Image Pre-Training for Large-Scale Image-Text Sparse Retrieval. Ziyang Luo, Pu Zhao, Can Xu, Xiubo Geng, Tao Shen, Chongyang Tao, Jing Ma, Qingwei Lin, Daxin Jiang |
| 2023 | LiDAR-Camera Panoptic Segmentation via Geometry-Consistent and Semantic-Aware Alignment. Zhiwei Zhang, Zhizhong Zhang, Qian Yu, Ran Yi, Yuan Xie, Lizhuang Ma |
| 2023 | LiDAR-UDA: Self-ensembling Through Time for Unsupervised LiDAR Domain Adaptation. Amirreza Shaban, Joonho Lee, Sanghun Jung, Xiangyun Meng, Byron Boots |
| 2023 | LightDepth: Single-View Depth Self-Supervision from Illumination Decline. Javier Rodriguez Puigvert, Victor M. Batlle, J. M. M. Montiel, Ruben Martinez-Cantin, Pascal Fua, Juan D. Tardós, Javier Civera |
| 2023 | LightGlue: Local Feature Matching at Light Speed. Philipp Lindenberger, Paul-Edouard Sarlin, Marc Pollefeys |
| 2023 | Lighting Every Darkness in Two Pairs : A Calibration-Free Pipeline for RAW Denoising. Xin Jin, Jia-Wen Xiao, Linghao Han, Chunle Guo, Ruixun Zhang, Xialei Liu, Chongyi Li |
| 2023 | Lighting up NeRF via Unsupervised Decomposition and Enhancement. Haoyuan Wang, Xiaogang Xu, Ke Xu, Rynson W. H. Lau |
| 2023 | Lightweight Image Super-Resolution with Superpixel Token Interaction. Aiping Zhang, Wenqi Ren, Yi Liu, Xiaochun Cao |
| 2023 | Linear Spaces of Meanings: Compositional Structures in Vision-Language Models. Matthew Trager, Pramuditha Perera, Luca Zancato, Alessandro Achille, Parminder Bhatia, Stefano Soatto |
| 2023 | Linear-Covariance Loss for End-to-End Learning of 6D Pose Estimation. Fulin Liu, Yinlin Hu, Mathieu Salzmann |
| 2023 | LinkGAN: Linking GAN Latents to Pixels for Controllable Image Synthesis. Jiapeng Zhu, Ceyuan Yang, Yujun Shen, Zifan Shi, Bo Dai, Deli Zhao, Qifeng Chen |
| 2023 | Lip Reading for Low-resource Languages by Learning and Combining General Speech Knowledge and Language-specific Knowledge. Minsu Kim, Jeong Hun Yeo, Jeongsoo Choi, Yong Man Ro |
| 2023 | Lip2Vec: Efficient and Robust Visual Speech Recognition via Latent-to-Latent Visual to Audio Representation Mapping. Yasser Abdelaziz Dahou Djilali, Sanath Narayan, Haithem Boussaid, Ebtesam Almazrouei, Mérouane Debbah |
| 2023 | LiveHand: Real-time and Photorealistic Neural Hand Rendering. Akshay Mundra, Mallikarjun B. R., Jiayi Wang, Marc Habermann, Christian Theobalt, Mohamed A. Elgharib |
| 2023 | LivePose: Online 3D Reconstruction from Monocular Video with Dynamic Camera Poses. Noah Stier, Baptiste Angles, Liang Yang, Yajie Yan, Alex Colburn, Ming Chuang |
| 2023 | LivelySpeaker: Towards Semantic-Aware Co-Speech Gesture Generation. Yihao Zhi, Xiaodong Cun, Xuelin Chen, Xi Shen, Wen Guo, Shaoli Huang, Shenghua Gao |
| 2023 | LoCUS: Learning Multiscale 3D-consistent Features from Posed Images. Dominik A. Kloepfer, Dylan Campbell, João F. Henriques |
| 2023 | LoGoPrompt: Synthetic Text Images Can Be Good Visual Prompts for Vision-Language Models. Cheng Shi, Sibei Yang |
| 2023 | LoLep: Single-View View Synthesis with Locally-Learned Planes and Self-Attention Occlusion Inference. Cong Wang, Yu-Ping Wang, Dinesh Manocha |
| 2023 | LoTE-Animal: A Long Time-span Dataset for Endangered Animal Behavior Understanding. Dan Liu, Jin Hou, Shaoli Huang, Jing Liu, Yuxin He, Bochuan Zheng, Jifeng Ning, Jindong Zhang |
| 2023 | Local Context-Aware Active Domain Adaptation. Tao Sun, Cheng Lu, Haibin Ling |
| 2023 | Local and Global Logit Adjustments for Long-Tailed Learning. Yingfan Tao, Jingna Sun, Hao Yang, Li Chen, Xu Wang, Wenming Yang, Daniel K. Du, Min Zheng |
| 2023 | Local or Global: Selective Knowledge Assimilation for Federated Learning with Limited Labels. Yae Jee Cho, Gauri Joshi, Dimitrios Dimitriadis |
| 2023 | Localizing Moments in Long Video Via Multimodal Guidance. Wayner Barrios, Mattia Soldan, Alberto Mario Ceballos-Arroyo, Fabian Caba Heilbron, Bernard Ghanem |
| 2023 | Localizing Object-level Shape Variations with Text-to-Image Diffusion Models. Or Patashnik, Daniel Garibi, Idan Azuri, Hadar Averbuch-Elor, Daniel Cohen-Or |
| 2023 | Locally Stylized Neural Radiance Fields. Hong-Wing Pang, Binh-Son Hua, Sai-Kit Yeung |
| 2023 | Locating Noise is Halfway Denoising for Semi-Supervised Segmentation. Yan Fang, Feng Zhu, Bowen Cheng, Luoqi Liu, Yao Zhao, Yunchao Wei |
| 2023 | Locomotion-Action-Manipulation: Synthesizing Human-Scene Interactions in Complex 3D Environments. Jiye Lee, Hanbyul Joo |
| 2023 | Logic-induced Diagnostic Reasoning for Semi-supervised Semantic Segmentation. Chen Liang, Wenguan Wang, Jiaxu Miao, Yi Yang |
| 2023 | LogicSeg: Parsing Visual Semantics with Neural Logic Learning and Reasoning. Liulei Li, Wenguan Wang, Yang Yi |
| 2023 | Long-Range Grouping Transformer for Multi-View 3D Reconstruction. Liying Yang, Zhenwei Zhu, Xuxin Lin, Jian Nong, Yanyan Liang |
| 2023 | Long-Term Photometric Consistent Novel View Synthesis with Diffusion Models. Jason J. Yu, Fereshteh Forghani, Konstantinos G. Derpanis, Marcus A. Brubaker |
| 2023 | Long-range Multimodal Pretraining for Movie Understanding. Dawit Mureja Argaw, Joon-Young Lee, Markus Woodson, In So Kweon, Fabian Caba Heilbron |
| 2023 | Look at the Neighbor: Distortion-aware Unsupervised Domain Adaptation for Panoramic Semantic Segmentation. Xu Zheng, Tianbo Pan, Yunhao Luo, Lin Wang |
| 2023 | Lossy and Lossless (L Yumeng Shi, Shihao Bai, Xiuying Wei, Ruihao Gong, Jianlei Yang |
| 2023 | Low-Light Image Enhancement with Illumination-Aware Gamma Correction and Complete Image Modelling Network. Yinglong Wang, Zhen Liu, Jianzhuang Liu, Songcen Xu, Shuaicheng Liu |
| 2023 | Low-Light Image Enhancement with Multi-stage Residue Quantization and Brightness-aware Attention. Yunlong Liu, Tao Huang, Weisheng Dong, Fangfang Wu, Xin Li, Guangming Shi |
| 2023 | Luminance-aware Color Transform for Multiple Exposure Correction. Jong-Hyeon Baek, Daehyun Kim, Su-Min Choi, Hyo-Jun Lee, Hanul Kim, Yeong Jun Koh |
| 2023 | M2T: Masking Transformers Twice for Faster Decoding. Fabian Mentzer, Eirikur Agustsson, Michael Tschannen |
| 2023 | MAAL: Multimodality-Aware Autoencoder-based Affordance Learning for 3D Articulated Objects. Yuanzhi Liang, Xiaohan Wang, Linchao Zhu, Yi Yang |
| 2023 | MAGI: Multi-Annotated Explanation-Guided Learning. Yifei Zhang, Siyi Gu, Yuyang Gao, Bo Pan, Xiaofeng Yang, Liang Zhao |
| 2023 | MAMo: Leveraging Memory and Attention for Monocular Video Depth Estimation. Rajeev Yasarla, Hong Cai, Jisoo Jeong, Yunxiao Shi, Risheek Garrepalli, Fatih Porikli |
| 2023 | MAP: Towards Balanced Generalization of IID and OOD through Model-Agnostic Adapters. Min Zhang, Junkun Yuan, Yue He, Wenbin Li, Zhengyu Chen, Kun Kuang |
| 2023 | MAPConNet: Self-supervised 3D Pose Transfer with Mesh and Point Contrastive Learning. Jiaze Sun, Zhixiang Chen, Tae-Kyun Kim |
| 2023 | MARS: Model-agnostic Biased Object Removal without Additional Supervision for Weakly-Supervised Semantic Segmentation. Sanghyun Jo, In-Jae Yu, Kyungsu Kim |
| 2023 | MAS: Towards Resource-Efficient Federated Multiple-Task Learning. Weiming Zhuang, Yonggang Wen, Lingjuan Lyu, Shuai Zhang |
| 2023 | MATE: Masked Autoencoders are Online 3D Test-Time Learners. Muhammad Jehanzeb Mirza, Inkyu Shin, Wei Lin, Andreas Schriebl, Kunyang Sun, Jaesung Choe, Mateusz Kozinski, Horst Possegger, In So Kweon, Kuk-Jin Yoon, Horst Bischof |
| 2023 | MAtch, eXpand and Improve: Unsupervised Finetuning for Zero-Shot Action Recognition with Language Knowledge. Wei Lin, Leonid Karlinsky, Nina Shvetsova, Horst Possegger, Mateusz Kozinski, Rameswar Panda, Rogério Feris, Hilde Kuehne, Horst Bischof |
| 2023 | MB-TaylorFormer: Multi-branch Efficient Transformer Expanded by Taylor Formula for Image Dehazing. Yuwei Qiu, Kaihao Zhang, Chenxi Wang, Wenhan Luo, Hongdong Li, Zhi Jin |
| 2023 | MBPTrack: Improving 3D Point Cloud Tracking with Memory networks and Box Priors. Tian-Xing Xu, Yuan-Chen Guo, Yu-Kun Lai, Song-Hai Zhang |
| 2023 | MDCS: More Diverse Experts with Consistency Self-distillation for Long-tailed Recognition. Qihao Zhao, Chen Jiang, Wei Hu, Fan Zhang, Jun Liu |
| 2023 | MEFLUT: Unsupervised 1D Lookup Tables for Multi-exposure Image Fusion. Ting Jiang, Chuan Wang, Xinpeng Li, Ru Li, Haoqiang Fan, Shuaicheng Liu |
| 2023 | MEGA: Multimodal Alignment Aggregation and Distillation For Cinematic Video Segmentation. Najmeh Sadoughi, Xinyu Li, Avijit Vajpayee, David Fan, Bing Shuai, Hector J. Santos-Villalobos, Vimal Bhat, Rohith MV |
| 2023 | MGMAE: Motion Guided Masking for Video Masked Autoencoding. Bingkun Huang, Zhiyu Zhao, Guozhen Zhang, Yu Qiao, Limin Wang |
| 2023 | MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering. Fangfei Lin, Bing Bai, Yiwen Guo, Hao Chen, Yazhou Ren, Zenglin Xu |
| 2023 | MHEntropy: Entropy Meets Multiple Hypotheses for Pose and Shape Recovery. Rongyu Chen, Linlin Yang, Angela Yao |
| 2023 | MI-GAN: A Simple Baseline for Image Inpainting on Mobile Devices. Andranik Sargsyan, Shant Navasardyan, Xingqian Xu, Humphrey Shi |
| 2023 | MIMO-NeRF: Fast Neural Rendering with Multi-input Multi-output Neural Radiance Fields. Takuhiro Kaneko |
| 2023 | MMST-ViT: Climate Change-aware Crop Yield Prediction via Multi-Modal Spatial-Temporal Vision Transformer. Fudong Lin, Summer Crawford, Kaleb Guillot, Yihe Zhang, Yan Chen, Xu Yuan, Li Chen, Shelby Williams, Robert Minvielle, Xiangming Xiao, Drew Gholson, Nicolas Ashwell, Tri Setiyono, Brenda Tubana, Lu Peng, Magdy A. Bayoumi, Nian-Feng Tzeng |
| 2023 | MMVP: Motion-Matrix-based Video Prediction. Yiqi Zhong, Luming Liang, Ilya Zharkov, Ulrich Neumann |
| 2023 | MODA: Mapping-Once Audio-driven Portrait Animation with Dual Attentions. Yunfei Liu, Lijian Lin, Fei Yu, Changyin Zhou, Yu Li |
| 2023 | MOSE: A New Dataset for Video Object Segmentation in Complex Scenes. Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Philip H. S. Torr, Song Bai |
| 2023 | MOST: Multiple Object localization with Self-supervised Transformers for object discovery. Sai Saketh Rambhatla, Ishan Misra, Rama Chellappa, Abhinav Shrivastava |
| 2023 | MPCViT: Searching for Accurate and Efficient MPC-Friendly Vision Transformer with Heterogeneous Attention. Wenxuan Zeng, Meng Li, Wenjie Xiong, Tong Tong, Wen-jie Lu, Jin Tan, Runsheng Wang, Ru Huang |
| 2023 | MPI-Flow: Learning Realistic Optical Flow with Multiplane Images. Yingping Liang, Jiaming Liu, Debing Zhang, Ying Fu |
| 2023 | MRM: Masked Relation Modeling for Medical Image Pre-Training with Genetics. Qiushi Yang, Wuyang Li, Baopu Li, Yixuan Yuan |
| 2023 | MRN: Multiplexed Routing Network for Incremental Multilingual Text Recognition. Tianlun Zheng, Zhineng Chen, Bingchen Huang, Wei Zhang, Yu-Gang Jiang |
| 2023 | MSI: Maximize Support-Set Information for Few-Shot Segmentation. Seonghyeon Moon, Samuel S. Sohn, Honglu Zhou, Sejong Yoon, Vladimir Pavlovic, Muhammad Haris Khan, Mubbasir Kapadia |
| 2023 | MST-compression: Compressing and Accelerating Binary Neural Networks with Minimum Spanning Tree. Quang Hieu Vo, Linh-Tam Tran, Sung-Ho Bae, Lok-Won Kim, Choong Seon Hong |
| 2023 | MULLER: Multilayer Laplacian Resizer for Vision. Zhengzhong Tu, Peyman Milanfar, Hossein Talebi |
| 2023 | MUVA: A New Large-Scale Benchmark for Multi-view Amodal Instance Segmentation in the Shopping Scenario. Zhixuan Li, Weining Ye, Juan R. Terven, Zachary Bennett, Ying Zheng, Tingting Jiang, Tiejun Huang |
| 2023 | MUter: Machine Unlearning on Adversarially Trained Models. Junxu Liu, Mingsheng Xue, Jian Lou, Xiaoyu Zhang, Li Xiong, Zhan Qin |
| 2023 | MV-DeepSDF: Implicit Modeling with Multi-Sweep Point Clouds for 3D Vehicle Reconstruction in Autonomous Driving. Yibo Liu, Kelly Zhu, Guile Wu, Yuan Ren, Bingbing Liu, Yang Liu, Jinjun Shan |
| 2023 | MV-Map: Offboard HD Map Generation with Multi-view Consistency. Ziyang Xie, Ziqi Pang, Yu-Xiong Wang |
| 2023 | MVPSNet: Fast Generalizable Multi-view Photometric Stereo. Dongxu Zhao, Daniel Lichy, Pierre-Nicolas Perrin, Jan-Michael Frahm, Soumyadip Sengupta |
| 2023 | MagicFusion: Boosting Text-to-Image Generation Performance by Fusing Diffusion Models. Jing Zhao, Heliang Zheng, Chaoyue Wang, Long Lan, Wenjing Yang |
| 2023 | Make Encoder Great Again in 3D GAN Inversion through Geometry and Occlusion-Aware Encoding. Ziyang Yuan, Yiming Zhu, Yu Li, Hongyu Liu, Chun Yuan |
| 2023 | Make-An-Animation: Large-Scale Text-conditional 3D Human Motion Generation. Samaneh Azadi, Akbar Shah, Thomas Hayes, Devi Parikh, Sonal Gupta |
| 2023 | Make-It-3D: High-Fidelity 3D Creation from A Single Image with Diffusion Prior. Junshu Tang, Tengfei Wang, Bo Zhang, Ting Zhang, Ran Yi, Lizhuang Ma, Dong Chen |
| 2023 | Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations. Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta |
| 2023 | MapFormer: Boosting Change Detection by Using Pre-change Information. Maximilian Bernhard, Niklas Strauß, Matthias Schubert |
| 2023 | MapPrior: Bird's-Eye View Map Layout Estimation with Generative Models. Xiyue Zhu, Vlas Zyrianov, Zhijian Liu, Shenlong Wang |
| 2023 | March in Chat: Interactive Prompting for Remote Embodied Referring Expression. Yanyuan Qiao, Yuankai Qi, Zheng Yu, Jing Liu, Qi Wu |
| 2023 | Markov Game Video Augmentation for Action Segmentation. Nicolas Aziere, Sinisa Todorovic |
| 2023 | MasQCLIP for Open-Vocabulary Universal Image Segmentation. Xin Xu, Tianyi Xiong, Zheng Ding, Zhuowen Tu |
| 2023 | MasaCtrl: Tuning-Free Mutual Self-Attention Control for Consistent Image Synthesis and Editing. Mingdeng Cao, Xintao Wang, Zhongang Qi, Ying Shan, Xiaohu Qie, Yinqiang Zheng |
| 2023 | Mask-Attention-Free Transformer for 3D Instance Segmentation. Xin Lai, Yuhui Yuan, Ruihang Chu, Yukang Chen, Han Hu, Jiaya Jia |
| 2023 | Masked Autoencoders Are Stronger Knowledge Distillers. Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang |
| 2023 | Masked Autoencoders are Efficient Class Incremental Learners. Jiang-Tian Zhai, Xialei Liu, Andrew D. Bagdanov, Ke Li, Ming-Ming Cheng |
| 2023 | Masked Diffusion Transformer is a Strong Image Synthesizer. Shanghua Gao, Pan Zhou, Ming-Ming Cheng, Shuicheng Yan |
| 2023 | Masked Motion Predictors are Strong 3D Action Representation Learners. Yunyao Mao, Jiajun Deng, Wengang Zhou, Yao Fang, Wanli Ouyang, Houqiang Li |
| 2023 | Masked Retraining Teacher-Student Framework for Domain Adaptive Object Detection. Zijing Zhao, Sitong Wei, Qingchao Chen, Dehui Li, Yifan Yang, Yuxin Peng, Yang Liu |
| 2023 | Masked Spatio-Temporal Structure Prediction for Self-supervised Learning on Point Cloud Videos. Zhiqiang Shen, Xiaoxiao Sheng, Hehe Fan, Longguang Wang, Yulan Guo, Qiong Liu, Hao Wen, Xi Zhou |
| 2023 | Masked Spiking Transformer. Ziqing Wang, Yuetong Fang, Jiahang Cao, Qiang Zhang, Zhongrui Wang, Renjing Xu |
| 2023 | Mastering Spatial Graph Prediction of Road Networks. Sotiris Anagnostidis, Aurélien Lucchi, Thomas Hofmann |
| 2023 | MatrixCity: A Large-scale City Dataset for City-scale Neural Rendering and Beyond. Yixuan Li, Lihan Jiang, Linning Xu, Yuanbo Xiangli, Zhenzhi Wang, Dahua Lin, Bo Dai |
| 2023 | MatrixVT: Efficient Multi-Camera to BEV Transformation for 3D Perception. Hongyu Zhou, Zheng Ge, Zeming Li, Xiangyu Zhang |
| 2023 | MeMOTR: Long-Term Memory-Augmented Transformer for Multi-Object Tracking. Ruopeng Gao, Limin Wang |
| 2023 | MeViS: A Large-scale Benchmark for Video Segmentation with Motion Expressions. Henghui Ding, Chang Liu, Shuting He, Xudong Jiang, Chen Change Loy |
| 2023 | Measuring Asymmetric Gradient Discrepancy in Parallel Continual Learning. Fan Lyu, Qing Sun, Fanhua Shang, Liang Wan, Wei Feng |
| 2023 | MedKLIP: Medical Knowledge Enhanced Language-Image Pre-Training for X-ray Diagnosis. Chaoyi Wu, Xiaoman Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie |
| 2023 | Membrane Potential Batch Normalization for Spiking Neural Networks. Yufei Guo, Yuhan Zhang, Yuanpei Chen, Weihang Peng, Xiaode Liu, Liwen Zhang, Xuhui Huang, Zhe Ma |
| 2023 | Memory-and-Anticipation Transformer for Online Action Understanding. Jiahao Wang, Guo Chen, Yifei Huang, Limin Wang, Tong Lu |
| 2023 | MemorySeg: Online LiDAR Semantic Segmentation with a Latent Memory. Enxu Li, Sergio Casas, Raquel Urtasun |
| 2023 | Mesh2Tex: Generating Mesh Textures from Image Queries. Alexey Bokhovkin, Shubham Tulsiani, Angela Dai |
| 2023 | Meta OOD Learning For Continuously Adaptive OOD Detection. Xinheng Wu, Jie Lu, Zhen Fang, Guangquan Zhang |
| 2023 | Meta-ZSDETR: Zero-shot DETR with Meta-learning. Lu Zhang, Chenbo Zhang, Jiajia Zhao, Jihong Guan, Shuigeng Zhou |
| 2023 | MetaBEV: Solving Sensor Failures for 3D Detection and Map Segmentation. Chongjian Ge, Junsong Chen, Enze Xie, Zhongdao Wang, Lanqing Hong, Huchuan Lu, Zhenguo Li, Ping Luo |
| 2023 | MetaF2N: Blind Image Super-Resolution by Learning Efficient Model Adaptation from Faces. Zhicun Yin, Ming Liu, Xiaoming Li, Hui Yang, Longan Xiao, Wangmeng Zuo |
| 2023 | MetaGCD: Learning to Continually Learn in Generalized Category Discovery. Yanan Wu, Zhixiang Chi, Yang Wang, Songhe Feng |
| 2023 | Metric3D: Towards Zero-shot Metric 3D Prediction from A Single Image. Wei Yin, Chi Zhang, Hao Chen, Zhipeng Cai, Gang Yu, Kaixuan Wang, Xiaozhi Chen, Chunhua Shen |
| 2023 | Mimic3D: Thriving 3D-Aware GANs via 3D-to-2D Imitation. Xingyu Chen, Yu Deng, Baoyuan Wang |
| 2023 | MiniROAD: Minimal RNN Framework for Online Action Detection. Joungbin An, Hyolim Kang, Su Ho Han, Ming-Hsuan Yang, Seon Joo Kim |
| 2023 | Minimal Solutions to Generalized Three-View Relative Pose Problem. Yaqing Ding, Chiang-Heng Chien, Viktor Larsson, Karl Åström, Benjamin B. Kimia |
| 2023 | Minimal Solutions to Uncalibrated Two-view Geometry with Known Epipoles. Gaku Nakano |
| 2023 | Minimum Latency Deep Online Video Stabilization. Zhuofan Zhang, Zhen Liu, Ping Tan, Bing Zeng, Shuaicheng Liu |
| 2023 | Mining bias-target Alignment from Voronoi Cells. Rémi Nahon, Van-Tam Nguyen, Enzo Tartaglione |
| 2023 | Misalign, Contrast then Distill: Rethinking Misalignments in Language-Image Pretraining. Bumsoo Kim, Yeonsik Jo, Jinhyung Kim, Seung-Hwan Kim |
| 2023 | Mitigating Adversarial Vulnerability through Causal Parameter Estimation by Adversarial Double Machine Learning. Byung-Kwan Lee, Junho Kim, Yong Man Ro |
| 2023 | Mitigating and Evaluating Static Bias of Action Representations in the Background and the Foreground. Haoxin Li, Yuan Liu, Hanwang Zhang, Boyang Li |
| 2023 | MixBag: Bag-Level Data Augmentation for Learning from Label Proportions. Takanori Asanomi, Shinnosuke Matsuo, Daiki Suehiro, Ryoma Bise |
| 2023 | MixCycle: Mixup Assisted Semi-Supervised 3D Single Object Tracking with Cycle Consistency. Qiao Wu, Jiaqi Yang, Kun Sun, Chu'ai Zhang, Yanning Zhang, Mathieu Salzmann |
| 2023 | MixPath: A Unified Approach for One-shot Neural Architecture Search. Xiangxiang Chu, Shun Lu, Xudong Li, Bo Zhang |
| 2023 | MixReorg: Cross-Modal Mixed Patch Reorganization is a Good Mask Learner for Open-World Semantic Segmentation. Kaixin Cai, Pengzhen Ren, Yi Zhu, Hang Xu, Jianzhuang Liu, Changlin Li, Guangrun Wang, Xiaodan Liang |
| 2023 | MixSpeech: Cross-Modality Self-Learning with Audio-Visual Stream Mixup for Visual Speech Translation and Recognition. Xize Cheng, Tao Jin, Rongjie Huang, Linjun Li, Wang Lin, Zehan Wang, Ye Wang, Huadai Liu, Aoxiong Yin, Zhou Zhao |
| 2023 | MixSynthFormer: A Transformer Encoder-like Structure with Mixed Synthetic Self-attention for Efficient Human Pose Estimation. Yuran Sun, Alan William Dougherty, Zhuoying Zhang, Yi-King Choi, Chuan Wu |
| 2023 | Mixed Neural Voxels for Fast Multi-view Video Synthesis. Feng Wang, Sinan Tan, Xinghang Li, Zeyue Tian, Yafei Song, Huaping Liu |
| 2023 | MoTIF: Learning Motion Trajectories with Local Implicit Neural Functions for Continuous Space-Time Video Super-Resolution. Yi-Hsin Chen, Si-Cun Chen, Yen-Yu Lin, Wen-Hsiao Peng |
| 2023 | Modality Unifying Network for Visible-Infrared Person Re-Identification. Hao Yu, Xu Cheng, Wei Peng, Weihao Liu, Guoying Zhao |
| 2023 | Model Calibration in Dense Classification with Adaptive Label Perturbation. Jiawei Liu, Changkun Ye, Shan Wang, Ruikai Cui, Jing Zhang, Kaihao Zhang, Nick Barnes |
| 2023 | ModelGiF: Gradient Fields for Model Functional Distance. Jie Song, Zhengqi Xu, Sai Wu, Gang Chen, Mingli Song |
| 2023 | Modeling the Relative Visual Tempo for Self-supervised Skeleton-based Action Recognition. Yisheng Zhu, Hu Han, Zhengtao Yu, Guangcan Liu |
| 2023 | MolGrapher: Graph-based Visual Recognition of Chemical Structures. Lucas Morin, Martin Danelljan, Maria Isabel Agea, Ahmed S. Nassar, Valéry Weber, Ingmar Meijer, Peter W. J. Staar, Fisher Yu |
| 2023 | Moment Detection in Long Tutorial Videos. Ioana Croitoru, Simion-Vlad Bogolin, Samuel Albanie, Yang Liu, Zhaowen Wang, Seunghyun Yoon, Franck Dernoncourt, Hailin Jin, Trung Bui |
| 2023 | MonoDETR: Depth-guided Transformer for Monocular 3D Object Detection. Renrui Zhang, Han Qiu, Tai Wang, Ziyu Guo, Ziteng Cui, Yu Qiao, Hongsheng Li, Peng Gao |
| 2023 | MonoNeRD: NeRF-like Representations for Monocular 3D Object Detection. Junkai Xu, Liang Peng, Haoran Chen, Hao Li, Wei Qian, Ke Li, Wenxiao Wang, Deng Cai |
| 2023 | MonoNeRF: Learning a Generalizable Dynamic Radiance Field from Monocular Videos. Fengrui Tian, Shaoyi Du, Yueqi Duan |
| 2023 | Monocular 3D Object Detection with Bounding Box Denoising in 3D by Perceiver. Xianpeng Liu, Ce Zheng, Kelvin Cheng, Nan Xue, Guo-Jun Qi, Tianfu Wu |
| 2023 | Monte Carlo Linear Clustering with Single-Point Supervision is Enough for Infrared Small Target Detection. Boyang Li, Yingqian Wang, Longguang Wang, Fei Zhang, Ting Liu, Zaiping Lin, Wei An, Yulan Guo |
| 2023 | MoreauGrad: Sparse and Robust Interpretation of Neural Networks via Moreau Envelope. Jingwei Zhang, Farzan Farnia |
| 2023 | MosaiQ: Quantum Generative Adversarial Networks for Image Generation on NISQ Computers. Daniel Silver, Aditya Ranjan, Tirthak Patel, Harshitta Gandhi, William Cutler, Devesh Tiwari |
| 2023 | Most Important Person-guided Dual-branch Cross-Patch Attention for Group Affect Recognition. Hongxia Xie, Ming-Xian Lee, Tzu-Jui Chen, Hung-Jen Chen, Hou-I Liu, Hong-Han Shuai, Wen-Huang Cheng |
| 2023 | Motion-Guided Masking for Spatiotemporal Representation Learning. David Fan, Jue Wang, Shuai Liao, Yi Zhu, Vimal Bhat, Hector J. Santos-Villalobos, Rohith MV, Xinyu Li |
| 2023 | MotionBERT: A Unified Perspective on Learning Human Motion Representations. Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu, Libin Liu, Wayne Wu, Yizhou Wang |
| 2023 | MotionDeltaCNN: Sparse CNN Inference of Frame Differences in Moving Camera Videos with Spherical Buffers and Padded Convolutions. Mathias Parger, Chengcheng Tang, Thomas Neff, Christopher D. Twigg, Cem Keskin, Robert Wang, Markus Steinberger |
| 2023 | MotionLM: Multi-Agent Motion Forecasting as Language Modeling. Ari Seff, Brian Cera, Dian Chen, Mason Ng, Aurick Zhou, Nigamaa Nayakanti, Khaled S. Refaat, Rami Al-Rfou, Benjamin Sapp |
| 2023 | Movement Enhancement toward Multi-Scale Video Feature Representation for Temporal Action Detection. Zixuan Zhao, Dongqi Wang, Xu Zhao |
| 2023 | Multi-Directional Subspace Editing in Style-Space. Chen Naveh |
| 2023 | Multi-Frequency Representation Enhancement with Privilege Information for Video Super-Resolution. Fei Li, Linfeng Zhang, Zikun Liu, Juan Lei, Zhenbo Li |
| 2023 | Multi-Label Knowledge Distillation. Penghui Yang, Ming-Kun Xie, Chen-Chen Zong, Lei Feng, Gang Niu, Masashi Sugiyama, Sheng-Jun Huang |
| 2023 | Multi-Label Self-Supervised Learning with Scene Images. Ke Zhu, Minghao Fu, Jianxin Wu |
| 2023 | Multi-Modal Continual Test-Time Adaptation for 3D Semantic Segmentation. Haozhi Cao, Yuecong Xu, Jianfei Yang, Pengyu Yin, Shenghai Yuan, Lihua Xie |
| 2023 | Multi-Modal Neural Radiance Field for Monocular Dense SLAM with a Light-Weight ToF Sensor. Xinyang Liu, Yijin Li, Yanbin Teng, Hujun Bao, Guofeng Zhang, Yinda Zhang, Zhaopeng Cui |
| 2023 | Multi-Object Discovery by Low-Dimensional Object Motion. Sadra Safadoust, Fatma Güney |
| 2023 | Multi-Object Navigation with dynamically learned neural implicit representations. Pierre Marza, Laëtitia Matignon, Olivier Simonin, Christian Wolf |
| 2023 | Multi-Scale Bidirectional Recurrent Network with Hybrid Correlation for Point Cloud Based Scene Flow Estimation. Wencan Cheng, Jong Hwan Ko |
| 2023 | Multi-Task Learning with Knowledge Distillation for Dense Prediction. Yangyang Xu, Yibo Yang, Lefei Zhang |
| 2023 | Multi-View Active Fine-Grained Visual Recognition. Ruoyi Du, Wenqing Yu, Heqing Wang, Ting-En Lin, Dongliang Chang, Zhanyu Ma |
| 2023 | Multi-body Depth and Camera Pose Estimation from Multiple Views. Andrea Porfiri Dal Cin, Giacomo Boracchi, Luca Magri |
| 2023 | Multi-event Video-Text Retrieval. Gengyuan Zhang, Jisen Ren, Jindong Gu, Volker Tresp |
| 2023 | Multi-grained Temporal Prototype Learning for Few-shot Video Object Segmentation. Nian Liu, Kepan Nan, Wangbo Zhao, Yuanwei Liu, Xiwen Yao, Salman Khan, Hisham Cholakkal, Rao Muhammad Anwer, Junwei Han, Fahad Shahbaz Khan |
| 2023 | Multi-granularity Interaction Simulation for Unsupervised Interactive Segmentation. Kehan Li, Yian Zhao, Zhennan Wang, Zesen Cheng, Peng Jin, Xiangyang Ji, Li Yuan, Chang Liu, Jie Chen |
| 2023 | Multi-interactive Feature Learning and a Full-time Multi-modality Benchmark for Image Fusion and Segmentation. Jinyuan Liu, Zhu Liu, Guanyao Wu, Long Ma, Risheng Liu, Wei Zhong, Zhongxuan Luo, Xin Fan |
| 2023 | Multi-label affordance mapping from egocentric vision. Lorenzo Mur-Labadia, Josechu J. Guerrero, Ruben Martinez-Cantin |
| 2023 | Multi-metrics adaptively identifies backdoors in Federated learning. Siquan Huang, Yijiang Li, Chong Chen, Leyu Shi, Ying Gao |
| 2023 | Multi-modal Gated Mixture of Local-to-Global Experts for Dynamic Image Fusion. Bing Cao, Yiming Sun, Pengfei Zhu, Qinghua Hu |
| 2023 | Multi-scale Residual Low-Pass Filter Network for Image Deblurring. Jiangxin Dong, Jinshan Pan, Zhongbao Yang, Jinhui Tang |
| 2023 | Multi-task View Synthesis with Neural Radiance Fields. Shuhong Zheng, Zhipeng Bao, Martial Hebert, Yu-Xiong Wang |
| 2023 | Multi-view Self-supervised Disentanglement for General Image Denoising. Hao Chen, Chenyuan Qu, Yu Zhang, Chen Chen, Jianbo Jiao |
| 2023 | Multi-view Spectral Polarization Propagation for Video Glass Segmentation. Yu Qiao, Bo Dong, Ao Jin, Yu Fu, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang |
| 2023 | Multi-weather Image Restoration via Domain Translation. Prashant W. Patil, Sunil Gupta, Santu Rana, Svetha Venkatesh, Subrahmanyam Murala |
| 2023 | Multi3DRefer: Grounding Text Description to Multiple 3D Objects. Yiming Zhang, ZeMing Gong, Angel X. Chang |
| 2023 | Multimodal Distillation for Egocentric Action Recognition. Gorjan Radevski, Dusan Grujicic, Matthew B. Blaschko, Marie-Francine Moens, Tinne Tuytelaars |
| 2023 | Multimodal Garment Designer: Human-Centric Latent Diffusion Models for Fashion Image Editing. Alberto Baldrati, Davide Morelli, Giuseppe Cartella, Marcella Cornia, Marco Bertini, Rita Cucchiara |
| 2023 | Multimodal High-order Relation Transformer for Scene Boundary Detection. Xi Wei, Zhangxiang Shi, Tianzhu Zhang, Xiaoyuan Yu, Lei Xiao |
| 2023 | Multimodal Motion Conditioned Diffusion Model for Skeleton-based Video Anomaly Detection. Alessandro Flaborea, Luca Collorone, Guido Maria D'Amely di Melendugno, Stefano D'Arrigo, Bardh Prenkaj, Fabio Galasso |
| 2023 | Multimodal Optimal Transport-based Co-Attention Transformer with Global Structure Consistency for Survival Prediction. Yingxue Xu, Hao Chen |
| 2023 | Multimodal Variational Auto-encoder based Audio-Visual Segmentation. Yuxin Mao, Jing Zhang, Mochu Xiang, Yiran Zhong, Yuchao Dai |
| 2023 | Multiple Instance Learning Framework with Masked Hard Instance Mining for Whole Slide Image Classification. Wenhao Tang, Sheng Huang, Xiaoxian Zhang, Fengtao Zhou, Yi Zhang, Bo Liu |
| 2023 | Multiple Planar Object Tracking. Zhicheng Zhang, Shengzhe Liu, Jufeng Yang |
| 2023 | Multiscale Representation for Real-Time Anti-Aliasing Neural Rendering. Dongting Hu, Zhenkai Zhang, Tingbo Hou, Tongliang Liu, Huan Fu, Mingming Gong |
| 2023 | Multiscale Structure Guided Diffusion for Image Deblurring. Mengwei Ren, Mauricio Delbracio, Hossein Talebi, Guido Gerig, Peyman Milanfar |
| 2023 | Muscles in Action. Mia Chiquier, Carl Vondrick |
| 2023 | NAPA-VQ: Neighborhood Aware Prototype Augmentation with Vector Quantization for Continual Learning. Tamasha Malepathirana, Damith A. Senanayake, Saman K. Halgamuge |
| 2023 | NCHO: Unsupervised Learning for Neural 3D Composition of Humans and Objects. Taeksoo Kim, Shunsuke Saito, Hanbyul Joo |
| 2023 | NDC-Scene: Boost Monocular 3D Semantic Scene Completion in Normalized Device Coordinates Space. Jiawei Yao, Chuming Li, Keqiang Sun, Yingjie Cai, Hao Li, Wanli Ouyang, Hongsheng Li |
| 2023 | NDDepth: Normal-Distance Assisted Monocular Depth Estimation. Shuwei Shao, Zhongcai Pei, Weihai Chen, Xingming Wu, Zhengguo Li |
| 2023 | NEMTO: Neural Environment Matting for Novel View and Relighting Synthesis of Transparent Objects. Dongqing Wang, Tong Zhang, Sabine Süsstrunk |
| 2023 | NIR-assisted Video Enhancement via Unpaired 24-hour Data. Muyao Niu, Zhihang Zhong, Yinqiang Zheng |
| 2023 | NLOS-NeuS: Non-line-of-sight Neural Implicit Surface. Yuki Fujimura, Takahiro Kushida, Takuya Funatomi, Yasuhiro Mukaigawa |
| 2023 | NPC: Neural Point Characters from Video. Shih-Yang Su, Timur M. Bagautdinov, Helge Rhodin |
| 2023 | NSF: Neural Surface Fields for Human Modeling from Monocular Depth. Yuxuan Xue, Bharat Lal Bhatnagar, Riccardo Marin, Nikolaos Sarafianos, Yuanlu Xu, Gerard Pons-Moll, Tony Tung |
| 2023 | Name Your Colour For the Task: Artificially Discover Colour Naming via Colour Quantisation Transformer. Shenghan Su, Lin Gu, Yue Yang, Zenghui Zhang, Tatsuya Harada |
| 2023 | Narrator: Towards Natural Control of Human-Scene Interaction Generation via Relationship Reasoning. Haibiao Xuan, Xiongzheng Li, Jinsong Zhang, Hongwen Zhang, Yebin Liu, Kun Li |
| 2023 | NaviNeRF: NeRF-based 3D Representation Disentanglement by Latent Semantic Navigation. Baao Xie, Bohan Li, Zequn Zhang, Junting Dong, Xin Jin, Jingyu Yang, Wenjun Zeng |
| 2023 | Navigating to Objects Specified by Images. Jacob Krantz, Théophile Gervet, Karmesh Yadav, Austin S. Wang, Chris Paxton, Roozbeh Mottaghi, Dhruv Batra, Jitendra Malik, Stefan Lee, Devendra Singh Chaplot |
| 2023 | NeILF++: Inter-Reflectable Light Fields for Geometry and Material Estimation. Jingyang Zhang, Yao Yao, Shiwei Li, Jingbo Liu, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan |
| 2023 | NeMF: Inverse Volume Rendering with Neural Microflake Field. Youjia Zhang, Teng Xu, Junqing Yu, Yuteng Ye, Yanqing Jing, Junle Wang, Jingyi Yu, Wei Yang |
| 2023 | NeO 360: Neural Fields for Sparse View Synthesis of Outdoor Scenes. Muhammad Zubair Irshad, Sergey Zakharov, Katherine Liu, Vitor Guizilini, Thomas Kollar, Adrien Gaidon, Zsolt Kira, Rares Ambrus |
| 2023 | NeRF-Det: Learning Geometry-Aware Volumetric Representation for Multi-View 3D Object Detection. Chenfeng Xu, Bichen Wu, Ji Hou, Sam S. Tsai, Ruilong Li, Jialiang Wang, Wei Zhan, Zijian He, Peter Vajda, Kurt Keutzer, Masayoshi Tomizuka |
| 2023 | NeRF-LOAM: Neural Implicit Representation for Large-Scale Incremental LiDAR Odometry and Mapping. Junyuan Deng, Qi Wu, Xieyuanli Chen, Songpengcheng Xia, Zhen Sun, Guoqing Liu, Wenxian Yu, Ling Pei |
| 2023 | NeRF-MS: Neural Radiance Fields with Multi-Sequence. Peihao Li, Shaohui Wang, Chen Yang, Bingbing Liu, Weichao Qiu, Haoqian Wang |
| 2023 | NeRFrac: Neural Radiance Fields through Refractive Surface. Yifan Zhan, Shohei Nobuhara, Ko Nishino, Yinqiang Zheng |
| 2023 | NeSS-ST: Detecting Good and Stable Keypoints with a Neural Stability Score and the Shi-Tomasi detector. Konstantin Pakulev, Alexander Vakhitov, Gonzalo Ferrer |
| 2023 | NeTO: Neural Reconstruction of Transparent Objects with Self-Occlusion Aware Refraction-Tracing. Zongcheng Li, Xiaoxiao Long, Yusen Wang, Tuo Cao, Wenping Wang, Fei Luo, Chunxia Xiao |
| 2023 | Nearest Neighbor Guidance for Out-of-Distribution Detection. Jaewoo Park, Yoon Gyo Jung, Andrew Beng Jin Teoh |
| 2023 | Neglected Free Lunch - Learning Image Classifiers Using Annotation Byproducts. Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh |
| 2023 | NerfAcc: Efficient Sampling Accelerates NeRFs. Ruilong Li, Hang Gao, Matthew Tancik, Angjoo Kanazawa |
| 2023 | Nerfbusters: Removing Ghostly Artifacts from Casually Captured NeRFs. Frederik Warburg, Ethan Weber, Matthew Tancik, Aleksander Holynski, Angjoo Kanazawa |
| 2023 | NeuRBF: A Neural Fields Representation with Adaptive Radial Basis Functions. Zhang Chen, Zhong Li, Liangchen Song, Lele Chen, Jingyi Yu, Junsong Yuan, Yi Xu |
| 2023 | NeuS2: Fast Learning of Neural Implicit Surfaces for Multi-view Reconstruction. Yiming Wang, Qin Han, Marc Habermann, Kostas Daniilidis, Christian Theobalt, Lingjie Liu |
| 2023 | Neural Characteristic Function Learning for Conditional Image Generation. Shengxi Li, Jialu Zhang, Yifei Li, Mai Xu, Xin Deng, Li Li |
| 2023 | Neural Collage Transfer: Artistic Reconstruction via Material Manipulation. Ganghun Lee, Minji Kim, Yunsu Lee, Minsu Lee, Byoung-Tak Zhang |
| 2023 | Neural Deformable Models for 3D Bi-Ventricular Heart Shape Reconstruction and Modeling from 2D Sparse Cardiac Magnetic Resonance Imaging. Meng Ye, Dong Yang, Mikael Kanski, Leon Axel, Dimitris N. Metaxas |
| 2023 | Neural Fields for Structured Lighting. Aarrushi Shandilya, Benjamin Attal, Christian Richardt, James Tompkin, Matthew O'Toole |
| 2023 | Neural Haircut: Prior-Guided Strand-Based Hair Reconstruction. Vanessa Sklyarova, Jenya Chelishev, Andreea Dogaru, Igor Medvedev, Victor Lempitsky, Egor Zakharov |
| 2023 | Neural Implicit Surface Evolution. Tiago Novello, Vinícius da Silva, Guilherme G. Schardong, Luiz Schirmer, Hélio Lopes, Luiz Velho |
| 2023 | Neural Interactive Keypoint Detection. Jie Yang, Ailing Zeng, Feng Li, Shilong Liu, Ruimao Zhang, Lei Zhang |
| 2023 | Neural LiDAR Fields for Novel View Synthesis. Shengyu Huang, Zan Gojcic, Zian Wang, Francis Williams, Yoni Kasten, Sanja Fidler, Konrad Schindler, Or Litany |
| 2023 | Neural Microfacet Fields for Inverse Rendering. Alexander Mai, Dor Verbin, Falko Kuester, Sara Fridovich-Keil |
| 2023 | Neural Radiance Fields with LiDAR Maps. Ming-fang Chang, Akash Sharma, Michael Kaess, Simon Lucey |
| 2023 | Neural Reconstruction of Relightable Human Model from Monocular Video. Wenzhang Sun, Yunlong Che, Yandong Guo, Han Huang |
| 2023 | Neural Video Depth Stabilizer. Yiran Wang, Min Shi, Jiaqi Li, Zihao Huang, Zhiguo Cao, Jianming Zhang, Ke Xian, Guosheng Lin |
| 2023 | Neural-PBIR Reconstruction of Shape, Material, and Illumination. Cheng Sun, Guangyan Cai, Zhengqin Li, Kai Yan, Cheng Zhang, Carl S. Marshall, Jia-Bin Huang, Shuang Zhao, Zhao Dong |
| 2023 | No Fear of Classifier Biases: Neural Collapse Inspired Federated Learning with Synthetic and Fixed Classifier. Zexi Li, Xinyi Shang, Rui He, Tao Lin, Chao Wu |
| 2023 | Noise-aware Learning from Web-crawled Image-Text Data for Image Captioning. Wooyoung Kang, Jonghwan Mun, Sungjun Lee, Byungseok Roh |
| 2023 | Noise2Info: Noisy Image to Information of Noise for Self-Supervised Image Denoising. Jiachuan Wang, Shimin Di, Lei Chen, Charles Wang Wai Ng |
| 2023 | Non-Coaxial Event-guided Motion Deblurring with Spatial Alignment. Hoonhee Cho, Yuhwan Jeong, Taewoo Kim, Kuk-Jin Yoon |
| 2023 | Non-Semantics Suppressed Mask Learning for Unsupervised Video Semantic Compression. Yuan Tian, Guo Lu, Guangtao Zhai, Zhiyong Gao |
| 2023 | Nonrigid Object Contact Estimation With Regional Unwrapping Transformer. Wei Xie, Zimeng Zhao, Shiying Li, Binghui Zuo, Yangang Wang |
| 2023 | Normalizing Flows for Human Pose Anomaly Detection. Or Hirschorn, Shai Avidan |
| 2023 | Not All Features Matter: Enhancing Few-shot CLIP with Adaptive Prior Refinement. Xiangyang Zhu, Renrui Zhang, Bowei He, Aojun Zhou, Dong Wang, Bin Zhao, Peng Gao |
| 2023 | Not All Steps are Created Equal: Selective Diffusion Distillation for Image Manipulation. Luozhou Wang, Shuai Yang, Shu Liu, Ying-Cong Chen |
| 2023 | Not Every Side Is Equal: Localization Uncertainty Estimation for Semi-Supervised 3D Object Detection. Chuxin Wang, Wenfei Yang, Tianzhu Zhang |
| 2023 | Novel Scenes & Classes: Towards Adaptive Open-set Object Detection. Wuyang Li, Xiaoqing Guo, Yixuan Yuan |
| 2023 | Novel-view Synthesis and Pose Estimation for Hand-Object Interaction from Sparse Views. Wentian Qu, Zhaopeng Cui, Yinda Zhang, Chenyu Meng, Cuixia Ma, Xiaoming Deng, Hongan Wang |
| 2023 | OCHID-Fi: Occlusion-Robust Hand Pose Estimation in 3D via RF-Vision. Shujie Zhang, Tianyue Zheng, Zhe Chen, Jingzhi Hu, Abdelwahed Khamis, Jiajun Liu, Jun Luo |
| 2023 | OFVL-MS: Once for Visual Localization across Multiple Indoor Scenes. Tao Xie, Kun Dai, Siyi Lu, Ke Wang, Zhiqiang Jiang, Jinghan Gao, Dedong Liu, Jie Xu, Lijun Zhao, Ruifeng Li |
| 2023 | OPERA: Omni-Supervised Representation Learning with Hierarchical Supervisions. Chengkun Wang, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | ORC: Network Group-based Knowledge Distillation using Online Role Change. Junyong Choi, Hyeon Cho, Seokhwa Cheung, Wonjun Hwang |
| 2023 | Object as Query: Lifting any 2D Object Detector to 3D Detection. Zitian Wang, Zehao Huang, Jiahui Fu, Naiyan Wang, Si Liu |
| 2023 | Object-Centric Multiple Object Tracking. Zixu Zhao, Jiaze Wang, Max Horn, Yizhuo Ding, Tong He, Zechen Bai, Dominik Zietlow, Carl-Johann Simon-Gabriel, Bing Shuai, Zhuowen Tu, Thomas Brox, Bernt Schiele, Yanwei Fu, Francesco Locatello, Zheng Zhang, Tianjun Xiao |
| 2023 | Object-aware Gaze Target Detection. Francesco Tonini, Nicola Dall'Asen, Cigdem Beyan, Elisa Ricci |
| 2023 | ObjectFusion: Multi-modal 3D Object Detection with Object-Centric Fusion. Qi Cai, Yingwei Pan, Ting Yao, Chong-Wah Ngo, Tao Mei |
| 2023 | ObjectSDF++: Improved Object-Compositional Neural Implicit Surfaces. Qianyi Wu, Kaisiyuan Wang, Kejie Li, Jianmin Zheng, Jianfei Cai |
| 2023 | Objects do not disappear: Video object detection by single-frame object location anticipation. Xin Liu, Fatemeh Karimi Nejadasl, Jan C. van Gemert, Olaf Booij, Silvia L. Pintea |
| 2023 | Occ Miao Fan, Mingrui Chen, Chen Hu, Shuchang Zhou |
| 2023 | OccFormer: Dual-path Transformer for Vision-based 3D Semantic Occupancy Prediction. Yunpeng Zhang, Zheng Zhu, Dalong Du |
| 2023 | OmniLabel: A Challenging Benchmark for Language-Based Object Detection. Samuel Schulter, Vijay Kumar B. G, Yumin Suh, Konstantinos M. Dafnis, Zhixing Zhang, Shiyu Zhao, Dimitris N. Metaxas |
| 2023 | OmniZoomer: Learning to Move and Zoom in on Sphere at High-Resolution. Zidong Cao, Hao Ai, Yan-Pei Cao, Ying Shan, Xiaohu Qie, Lin Wang |
| 2023 | Omnidirectional Information Gathering for Knowledge Transfer-based Audio-Visual Navigation. Jinyu Chen, Wenguan Wang, Si Liu, Hongsheng Li, Yi Yang |
| 2023 | OmnimatteRF: Robust Omnimatte with 3D Background Modeling. Geng Lin, Chen Gao, Jia-Bin Huang, Changil Kim, Yipeng Wang, Matthias Zwicker, Ayush Saraf |
| 2023 | On the Audio-visual Synchronization for Lip-to-Speech Synthesis. Zhe Niu, Brian Mak |
| 2023 | On the Effectiveness of Spectral Discriminators for Perceptual Quality Improvement. Xin Luo, Yunan Zhu, Shunxin Xu, Dong Liu |
| 2023 | On the Robustness of Normalizing Flows for Inverse Problems in Imaging. Seongmin Hong, Inbum Park, Se Young Chun |
| 2023 | On the Robustness of Open-World Test-Time Training: Self-Training with Dynamic Prototype Expansion. Yushu Li, Xun Xu, Yongyi Su, Kui Jia |
| 2023 | Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection. Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang |
| 2023 | One-Shot Generative Domain Adaptation. Ceyuan Yang, Yujun Shen, Zhiyi Zhang, Yinghao Xu, Jiapeng Zhu, Zhirong Wu, Bolei Zhou |
| 2023 | One-bit Flip is All You Need: When Bit-flip Attack Meets Model Training. Jianshuo Dong, Han Qiu, Yiming Li, Tianwei Zhang, Yuanjie Li, Zeqi Lai, Chao Zhang, Shu-Tao Xia |
| 2023 | One-shot Implicit Animatable Avatars with Model-based Priors. Yangyi Huang, Hongwei Yi, Weiyang Liu, Haofan Wang, Boxi Wu, Wenxiao Wang, Binbin Lin, Debing Zhang, Deng Cai |
| 2023 | One-shot recognition of any material anywhere using contrastive learning with physics-based rendering. Manuel S. Drehwald, Sagi Eppel, Jolina Li, Han Hao, Alán Aspuru-Guzik |
| 2023 | Online Class Incremental Learning on Stochastic Blurry Task Boundary via Mask and Visual Prompt Tuning. Jun-Yeong Moon, Keon-Hee Park, Jung Uk Kim, Gyeong-Moon Park |
| 2023 | Online Clustered Codebook. Chuanxia Zheng, Andrea Vedaldi |
| 2023 | Online Continual Learning on Hierarchical Label Expansion. Byung Hyun Lee, Okchul Jung, Jonghyun Choi, Se Young Chun |
| 2023 | Online Prototype Learning for Online Continual Learning. Yujie Wei, Jiaxin Ye, Zhizhong Huang, Junping Zhang, Hongming Shan |
| 2023 | OnlineRefer: A Simple Online Baseline for Referring Video Object Segmentation. Dongming Wu, Tiancai Wang, Yuang Zhang, Xiangyu Zhang, Jianbing Shen |
| 2023 | Open Set Video HOI detection from Action-centric Chain-of-Look Prompting. Nan Xi, Jingjing Meng, Junsong Yuan |
| 2023 | Open-Vocabulary Object Detection With an Open Corpus. Jiong Wang, Huiming Zhang, Haiwen Hong, Xuan Jin, Yuan He, Hui Xue, Zhou Zhao |
| 2023 | Open-Vocabulary Semantic Segmentation with Decoupled One-Pass Network. Cong Han, Yujie Zhong, Dengjie Li, Kai Han, Lin Ma |
| 2023 | Open-Vocabulary Video Question Answering: A New Benchmark for Evaluating the Generalizability of Video Question Answering Models. Dohwan Ko, Ji Soo Lee, Miso Choi, Jaewon Chu, Jihwan Park, Hyunwoo J. Kim |
| 2023 | Open-domain Visual Entity Recognition: Towards Recognizing Millions of Wikipedia Entities. Hexiang Hu, Yi Luan, Yang Chen, Urvashi Khandelwal, Mandar Joshi, Kenton Lee, Kristina Toutanova, Ming-Wei Chang |
| 2023 | Open-vocabulary Object Segmentation with Diffusion Models. Ziyi Li, Qinye Zhou, Xiaoyun Zhang, Ya Zhang, Yanfeng Wang, Weidi Xie |
| 2023 | Open-vocabulary Panoptic Segmentation with Embedding Modulation. Xi Chen, Shuang Li, Ser-Nam Lim, Antonio Torralba, Hengshuang Zhao |
| 2023 | OpenOccupancy: A Large Scale Benchmark for Surrounding Semantic Occupancy Perception. Xiaofeng Wang, Zheng Zhu, Wenbo Xu, Yunpeng Zhang, Yi Wei, Xu Chi, Yun Ye, Dalong Du, Jiwen Lu, Xingang Wang |
| 2023 | Optimizing the Placement of Roadside LiDARs for Autonomous Driving. Wentao Jiang, Hao Xiang, Xinyu Cai, Runsheng Xu, Jiaqi Ma, Yikang Li, Gim Hee Lee, Si Liu |
| 2023 | Ord2Seq: Regarding Ordinal Regression as Label Sequence Prediction. Jinhong Wang, Yi Cheng, Jintai Chen, Tingting Chen, Danny Chen, Jian Wu |
| 2023 | Order-Prompted Tag Sequence Generation for Video Tagging. Zongyang Ma, Ziqi Zhang, Yuxin Chen, Zhongang Qi, Yingmin Luo, Zekun Li, Chunfeng Yuan, Bing Li, Xiaohu Qie, Ying Shan, Weiming Hu |
| 2023 | Order-preserving Consistency Regularization for Domain Adaptation and Generalization. Mengmeng Jing, Xiantong Zhen, Jingjing Li, Cees G. M. Snoek |
| 2023 | Ordered Atomic Activity for Fine-grained Interactive Traffic Scenario Understanding. Nakul Agarwal, Yi-Ting Chen |
| 2023 | Ordinal Label Distribution Learning. Changsong Wen, Xin Zhang, Xingxu Yao, Jufeng Yang |
| 2023 | OrthoPlanes: A Novel Representation for Better 3D-Awareness of GANs. Honglin He, Zhuoqian Yang, Shikai Li, Bo Dai, Wayne Wu |
| 2023 | Out-of-Distribution Detection for Monocular Depth Estimation. Julia Hornauer, Adrian Holzbock, Vasileios Belagiannis |
| 2023 | Out-of-domain GAN inversion via Invertibility Decomposition for Photo-Realistic Human Face Manipulation. Xin Yang, Xiaogang Xu, Yingcong Chen |
| 2023 | Overcoming Forgetting Catastrophe in Quantization-Aware Training. Ting-An Chen, De-Nian Yang, Ming-Syan Chen |
| 2023 | Overwriting Pretrained Bias with Finetuning Data. Angelina Wang, Olga Russakovsky |
| 2023 | OxfordTVG-HIC: Can Machine Make Humorous Captions from Images? Runjia Li, Shuyang Sun, Mohamed Elhoseiny, Philip H. S. Torr |
| 2023 | P1AC: Revisiting Absolute Pose From a Single Affine Correspondence. Jonathan Ventura, Zuzana Kukelova, Torsten Sattler, Dániel Baráth |
| 2023 | P2C: Self-Supervised Point Cloud Completion from Single Partial Clouds. Ruikai Cui, Shi Qiu, Saeed Anwar, Jiawei Liu, Chaoyue Xing, Jing Zhang, Nick Barnes |
| 2023 | PADCLIP: Pseudo-labeling with Adaptive Debiasing in CLIP for Unsupervised Domain Adaptation. Zhengfeng Lai, Noranart Vesdapunt, Ning Zhou, Jun Wu, Cong Phuoc Huynh, Xuelu Li, Kah Kuen Fu, Chen-Nee Chuah |
| 2023 | PADDLES: Phase-Amplitude Spectrum Disentangled Early Stopping for Learning with Noisy Labels. Huaxi Huang, Hui Kang, Sheng Liu, Olivier Salvado, Thierry Rakotoarivelo, Dadong Wang, Tongliang Liu |
| 2023 | PARF: Primitive-Aware Radiance Fusion for Indoor Scene Novel View Synthesis. Haiyang Ying, Baowei Jiang, Jinzhi Zhang, Di Xu, Tao Yu, Qionghai Dai, Lu Fang |
| 2023 | PARIS: Part-level Reconstruction and Motion Analysis for Articulated Objects. Jiayi Liu, Ali Mahdavi-Amiri, Manolis Savva |
| 2023 | PARTNER: Level up the Polar Representation for LiDAR 3D Object Detection. Ming Nie, Yujing Xue, Chunwei Wang, Chaoqiang Ye, Hang Xu, Xinge Zhu, Qingqiu Huang, Michael Bi Mi, Xinchao Wang, Li Zhang |
| 2023 | PATMAT: Person Aware Tuning of Mask-Aware Transformer for Face inpainting. Saman Motamed, Jianjin Xu, Chen Henry Wu, Christian Häne, Jean-Charles Bazin, Fernando De la Torre |
| 2023 | PC-Adapter: Topology-Aware Adapter for Efficient Domain Adaption on Point Clouds with Rectified Pseudo-label. Joonhyung Park, Hyunjin Seo, Eunho Yang |
| 2023 | PDiscoNet: Semantically consistent part discovery for fine-grained recognition. Robert van der Klis, Stephan Alaniz, Massimiliano Mancini, Cássio Fraga Dantas, Dino Ienco, Zeynep Akata, Diego Marcos |
| 2023 | PEANUT: Predicting and Navigating to Unseen Targets. Albert J. Zhai, Shenlong Wang |
| 2023 | PETRv2: A Unified Framework for 3D Perception from Multi-Camera Images. Yingfei Liu, Junjie Yan, Fan Jia, Shuailin Li, Aqi Gao, Tiancai Wang, Xiangyu Zhang |
| 2023 | PG-RCNN: Semantic Surface Point Generation for 3D Object Detection. Inyong Koo, Inyoung Lee, Se-Ho Kim, Hee-Seon Kim, Woo-Jin Jeon, Changick Kim |
| 2023 | PGFed: Personalize Each Client's Global Objective for Federated Learning. Jun Luo, Matías Mendieta, Chen Chen, Shandong Wu |
| 2023 | PHRIT: Parametric Hand Representation with Implicit Template. Zhisheng Huang, Yujin Chen, Di Kang, Jinlu Zhang, Zhigang Tu |
| 2023 | PIDRo: Parallel Isomeric Attention with Dynamic Routing for Text-Video Retrieval. Peiyan Guan, Renjing Pei, Bin Shao, Jianzhuang Liu, Weimian Li, Jiaxi Gu, Hang Xu, Songcen Xu, Youliang Yan, Edmund Y. Lam |
| 2023 | PIRNet: Privacy-Preserving Image Restoration Network via Wavelet Lifting. Xin Deng, Chao Gao, Mai Xu |
| 2023 | PNI: Industrial Anomaly Detection using Position and Neighborhood Information. Jaehyeok Bae, Jae-Han Lee, Seyun Kim |
| 2023 | PODIA-3D: Domain Adaptation of 3D Generative Model Across Large Domain Gap Using Pose-Preserved Text-to-Image Diffusion. Gwanghyun Kim, Ji Ha Jang, Se Young Chun |
| 2023 | PPR: Physically Plausible Reconstruction from Monocular Videos. Gengshan Yang, Shuo Yang, John Z. Zhang, Zachary Manchester, Deva Ramanan |
| 2023 | PRANC: Pseudo RAndom Networks for Compacting deep models. Parsa Nooralinejad, Ali Abbasi, Soroush Abbasi Koohpayegani, Kossar Pourahmadi Meibodi, Rana Muhammad Shahroz Khan, Soheil Kolouri, Hamed Pirsiavash |
| 2023 | PRIOR: Prototype Representation Joint Learning from Medical Images and Reports. Pujin Cheng, Li Lin, Junyan Lyu, Yijin Huang, Wenhan Luo, Xiaoying Tang |
| 2023 | PVT++: A Simple End-to-End Latency-Aware Visual Tracking Framework. Bowen Li, Ziyuan Huang, Junjie Ye, Yiming Li, Sebastian A. Scherer, Hang Zhao, Changhong Fu |
| 2023 | Pairwise Similarity Learning is SimPLE. Yandong Wen, Weiyang Liu, Yao Feng, Bhiksha Raj, Rita Singh, Adrian Weller, Michael J. Black, Bernhard Schölkopf |
| 2023 | PanFlowNet: A Flow-Based Deep Network for Pan-sharpening. Gang Yang, Xiangyong Cao, Wenzhe Xiao, Man Zhou, Aiping Liu, Xun Chen, Deyu Meng |
| 2023 | Panoramas from Photons. Sacha Jungerman, Atul Ingle, Mohit Gupta |
| 2023 | ParCNetV2: Oversized Kernel with Enhanced Attention Ruihan Xu, Haokui Zhang, Wenze Hu, Shiliang Zhang, Xiaoyu Wang |
| 2023 | Parallax-Tolerant Unsupervised Deep Image Stitching. Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao |
| 2023 | Parallel Attention Interaction Network for Few-Shot Skeleton-based Action Recognition. Xingyu Liu, Sanping Zhou, Le Wang, Gang Hua |
| 2023 | Parameterized Cost Volume for Stereo Matching. Jiaxi Zeng, Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia |
| 2023 | Parametric Classification for Generalized Category Discovery: A Baseline Study. Xin Wen, Bingchen Zhao, Xiaojuan Qi |
| 2023 | Parametric Depth Based Feature Representation Learning for Object Detection and Segmentation in Bird's-Eye View. Jiayu Yang, Enze Xie, Miaomiao Liu, José M. Álvarez |
| 2023 | Parametric Information Maximization for Generalized Category Discovery. Florent Chiaroni, Jose Dolz, Imtiaz Masud Ziko, Amar Mitiche, Ismail Ben Ayed |
| 2023 | Part-Aware Transformer for Generalizable Person Re-identification. Hao Ni, Yuke Li, Lianli Gao, Heng Tao Shen, Jingkuan Song |
| 2023 | Partition Speeds Up Learning Implicit Neural Representations Based on Exponential-Increase Hypothesis. Ke Liu, Feng Liu, Haishuai Wang, Ning Ma, Jiajun Bu, Bo Han |
| 2023 | Partition-and-Debias: Agnostic Biases Mitigation via A Mixture of Biases-Specific Experts. Jiaxuan Li, Duc Minh Vo, Hideki Nakayama |
| 2023 | Passive Ultra-Wideband Single-Photon Imaging. Mian Wei, Sotiris Nousias, Rahul Gulve, David B. Lindell, Kiriakos N. Kutulakos |
| 2023 | Pasta: Proportional Amplitude Spectrum Training Augmentation for Syn-to-Real Domain Generalization. Prithvijit Chattopadhyay, Kartik Sarangmath, Vivek Vijaykumar, Judy Hoffman |
| 2023 | PatchCT: Aligning Patch Set and Label Set with Conditional Transport for Multi-Label Image Classification. Miaoge Li, Dongsheng Wang, Xinyang Liu, Zequn Zeng, Ruiying Lu, Bo Chen, Mingyuan Zhou |
| 2023 | Perceptual Artifacts Localization for Image Synthesis Tasks. Lingzhi Zhang, Zhengjie Xu, Connelly Barnes, Yuqian Zhou, Qing Liu, He Zhang, Sohrab Amirghodsi, Zhe Lin, Eli Shechtman, Jianbo Shi |
| 2023 | Perceptual Grouping in Contrastive Vision-Language Models. Kanchana Ranasinghe, Brandon McKinzie, Sachin Ravi, Yinfei Yang, Alexander Toshev, Jonathon Shlens |
| 2023 | Periodically Exchange Teacher-Student for Source-Free Object Detection. Qipeng Liu, Luojun Lin, Zhifeng Shen, Zhifeng Yang |
| 2023 | Perpetual Humanoid Control for Real-time Simulated Avatars. Zhengyi Luo, Jinkun Cao, Alexander Winkler, Kris Kitani, Weipeng Xu |
| 2023 | Persistent-Transient Duality: A Multi-mechanism Approach for Modeling Human-Object Interaction. Hung Tran, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2023 | Person Re-Identification without Identification via Event Anonymization. Shafiq Ahmad, Pietro Morerio, Alessio Del Bue |
| 2023 | Personalized Image Generation for Color Vision Deficiency Population. Shuyi Jiang, Daochang Liu, Dingquan Li, Chang Xu |
| 2023 | Personalized Semantics Excitation for Federated Image Classification. Haifeng Xia, Kai Li, Zhengming Ding |
| 2023 | PhaseMP: Robust 3D Pose Estimation via Phase-conditioned Human Motion Prior. Mingyi Shi, Sebastian Starke, Yuting Ye, Taku Komura, Jungdam Won |
| 2023 | Phasic Content Fusing Diffusion Model with Directional Distribution Consistency for Few-Shot Model Adaption. Teng Hu, Jiangning Zhang, Liang Liu, Ran Yi, Siqi Kou, Haokun Zhu, Xu Chen, Yabiao Wang, Chengjie Wang, Lizhuang Ma |
| 2023 | PhysDiff: Physics-Guided Human Motion Diffusion Model. Ye Yuan, Jiaming Song, Umar Iqbal, Arash Vahdat, Jan Kautz |
| 2023 | Physically-plausible illumination distribution estimation. Egor I. Ershov, Vasily Tesalin, Ivan Ermakov, Michael S. Brown |
| 2023 | Physics-Augmented Autoencoder for 3D Skeleton-Based Gait Recognition. Hongji Guo, Qiang Ji |
| 2023 | Physics-Driven Turbulence Image Restoration with Stochastic Refinement. Ajay Jaiswal, Xingguang Zhang, Stanley H. Chan, Zhangyang Wang |
| 2023 | PivotNet: Vectorized Pivot Learning for End-to-end HD Map Construction. Wenjie Ding, Limeng Qiao, Xi Qiu, Chi Zhang |
| 2023 | Pix2Video: Video Editing using Image Diffusion. Duygu Ceylan, Chun-Hao Paul Huang, Niloy J. Mitra |
| 2023 | Pixel Adaptive Deep Unfolding Transformer for Hyperspectral Image Reconstruction. Miaoyu Li, Ying Fu, Ji Liu, Yulun Zhang |
| 2023 | Pixel-Aligned Recurrent Queries for Multi-View 3D Object Detection. Yiming Xie, Huaizu Jiang, Georgia Gkioxari, Julian Straub |
| 2023 | Pixel-Wise Contrastive Distillation. Junqiang Huang, Zichao Guo |
| 2023 | PlanarTrack: A Large-scale Challenging Benchmark for Planar Object Tracking. Xinran Liu, Xiaoqiong Liu, Ziruo Yi, Xin Zhou, Thanh Le, Libo Zhang, Yan Huang, Qing Yang, Heng Fan |
| 2023 | PlaneRecTR: Unified Query Learning for 3D Plane Recovery from a Single View. Jingjia Shi, Shuaifeng Zhi, Kai Xu |
| 2023 | PlankAssembly: Robust 3D Reconstruction from Three Orthographic Views with Learnt Shape Programs. Wentao Hu, Jia Zheng, Zixin Zhang, Xiaojun Yuan, Jian Yin, Zihan Zhou |
| 2023 | Plausible Uncertainties for Human Pose Regression. Lennart Bramlage, Michelle Karg, Cristóbal Curio |
| 2023 | Pluralistic Aging Diffusion Autoencoder. Peipei Li, Rui Wang, Huaibo Huang, Ran He, Zhaofeng He |
| 2023 | Poincaré ResNet. Max van Spengler, Erwin Berkhout, Pascal Mettes |
| 2023 | Point Contrastive Prediction with Semantic Clustering for Self-Supervised Learning on Point Cloud Videos. Xiaoxiao Sheng, Zhiqiang Shen, Gang Xiao, Longguang Wang, Yulan Guo, Hehe Fan |
| 2023 | Point-Query Quadtree for Crowd Counting, Localization, and More. Chengxin Liu, Hao Lu, Zhiguo Cao, Tongliang Liu |
| 2023 | Point-SLAM: Dense Neural Point Cloud-based SLAM. Erik Sandström, Yue Li, Luc Van Gool, Martin R. Oswald |
| 2023 | Point-TTA: Test-Time Adaptation for Point Cloud Registration Using Multitask Meta-Auxiliary Learning. Ahmed Hatem, Yiming Qian, Yang Wang |
| 2023 | Point2Mask: Point-supervised Panoptic Segmentation via Optimal Transport. Wentong Li, Yuqian Yuan, Song Wang, Jianke Zhu, Jianshu Li, Jian Liu, Lei Zhang |
| 2023 | PointCLIP V2: Prompting CLIP and GPT for Powerful 3D Open-world Learning. Xiangyang Zhu, Renrui Zhang, Bowei He, Ziyu Guo, Ziyao Zeng, Zipeng Qin, Shanghang Zhang, Peng Gao |
| 2023 | PointDC: Unsupervised Semantic Segmentation of 3D Point Clouds via Cross-modal Distillation and Super-Voxel Clustering. Zisheng Chen, Hongbin Xu, Weitao Chen, Zhipeng Zhou, Haihong Xiao, Baigui Sun, Xuansong Xie, Wenxiong Kang |
| 2023 | PointMBF: A Multi-scale Bidirectional Fusion Network for Unsupervised RGB-D Point Cloud Registration. Mingzhi Yuan, Kexue Fu, Zhihao Li, Yucong Meng, Manning Wang |
| 2023 | PointOdyssey: A Large-Scale Synthetic Dataset for Long-Term Point Tracking. Yang Zheng, Adam W. Harley, Bokui Shen, Gordon Wetzstein, Leonidas J. Guibas |
| 2023 | PolicyCleanse: Backdoor Detection and Mitigation for Competitive Reinforcement Learning. Junfeng Guo, Ang Li, Lixu Wang, Cong Liu |
| 2023 | Ponder: Point Cloud Pre-training via Neural Rendering. Di Huang, Sida Peng, Tong He, Honghui Yang, Xiaowei Zhou, Wanli Ouyang |
| 2023 | Pose-Free Neural Radiance Fields via Implicit Pose Regularization. Jiahui Zhang, Fangneng Zhan, Yingchen Yu, Kunhao Liu, Rongliang Wu, Xiaoqin Zhang, Ling Shao, Shijian Lu |
| 2023 | PoseDiffusion: Solving Pose Estimation via Diffusion-aided Bundle Adjustment. Jianyuan Wang, Christian Rupprecht, David Novotný |
| 2023 | PoseFix: Correcting 3D Human Poses with Natural Language. Ginger Delmas, Philippe Weinzaepfel, Francesc Moreno-Noguer, Grégory Rogez |
| 2023 | PourIt!: Weakly-supervised Liquid Perception from a Single Image for Visual Closed-Loop Robotic Pouring. Haitao Lin, Yanwei Fu, Xiangyang Xue |
| 2023 | Practical Membership Inference Attacks Against Large-Scale Multi-Modal Models: A Pilot Study. Myeongseob Ko, Ming Jin, Chenguang Wang, Ruoxi Jia |
| 2023 | Pre-training Vision Transformers with Very Limited Synthesized Images. Ryo Nakamura, Hirokatsu Kataoka, Sora Takashima, Edgar Josafat Martinez-Noriega, Rio Yokota, Nakamasa Inoue |
| 2023 | Pre-training-free Image Manipulation Localization through Non-Mutually Exclusive Contrastive Learning. Jizhe Zhou, Xiaochen Ma, Xia Du, Ahmed Y. Al Hammadi, Wentao Feng |
| 2023 | PreSTU: Pre-Training for Scene-Text Understanding. Jihyung Kil, Soravit Changpinyo, Xi Chen, Hexiang Hu, Sebastian Goodman, Wei-Lun Chao, Radu Soricut |
| 2023 | Predict to Detect: Prediction-guided 3D Object Detection using Sequential Images. Sanmin Kim, Youngseok Kim, In-Jae Lee, Dongsuk Kum |
| 2023 | Preface: A Data-driven Volumetric Prior for Few-shot Ultra High-resolution Face Synthesis. Marcel C. Bühler, Kripasindhu Sarkar, Tanmay Shah, Gengyan Li, Daoye Wang, Leonhard Helminger, Sergio Orts-Escolano, Dmitry Lagun, Otmar Hilliges, Thabo Beeler, Abhimitra Meka |
| 2023 | Preparing the Future for Continual Semantic Segmentation. Zihan Lin, Zilei Wang, Yixin Zhang |
| 2023 | Preserve Your Own Correlation: A Noise Prior for Video Diffusion Models. Songwei Ge, Seungjun Nah, Guilin Liu, Tyler Poon, Andrew Tao, Bryan Catanzaro, David Jacobs, Jia-Bin Huang, Ming-Yu Liu, Yogesh Balaji |
| 2023 | Preserving Modality Structure Improves Multi-Modal Learning. Sirnam Swetha, Mamshad Nayeem Rizve, Nina Shvetsova, Hilde Kuehne, Mubarak Shah |
| 2023 | Preserving Tumor Volumes for Unsupervised Medical Image Registration. Qihua Dong, Hao Du, Ying Song, Yan Xu, Jing Liao |
| 2023 | Pretrained Language Models as Visual Planners for Human Assistance. Dhruvesh Patel, Hamid Eghbalzadeh, Nitin Kamra, Michael Louis Iuzzolino, Unnat Jain, Ruta Desai |
| 2023 | Preventing Zero-Shot Transfer Degradation in Continual Learning of Vision-Language Models. Zangwei Zheng, Mingyuan Ma, Kai Wang, Ziheng Qin, Xiangyu Yue, Yang You |
| 2023 | Prior-guided Source-free Domain Adaptation for Human Pose Estimation. Dripta S. Raychaudhuri, Calvin-Khang Ta, Arindam Dutta, Rohit Lal, Amit K. Roy-Chowdhury |
| 2023 | Priority-Centric Human Motion Generation in Discrete Latent Space. Hanyang Kong, Kehong Gong, Dongze Lian, Michael Bi Mi, Xinchao Wang |
| 2023 | Privacy Preserving Localization via Coordinate Permutations. Linfei Pan, Johannes L. Schönberger, Viktor Larsson, Marc Pollefeys |
| 2023 | Privacy-Preserving Face Recognition Using Random Frequency Components. Yuxi Mi, Yuge Huang, Jiazhen Ji, Minyi Zhao, Jiaxiang Wu, Xingkun Xu, Shouhong Ding, Shuigeng Zhou |
| 2023 | ProPainter: Improving Propagation and Transformer for Video Inpainting. Shangchen Zhou, Chongyi Li, Kelvin C. K. Chan, Chen Change Loy |
| 2023 | ProbVLM: Probabilistic Adapter for Frozen Vison-Language Models. Uddeshya Upadhyay, Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata |
| 2023 | Probabilistic Human Mesh Recovery in 3D Scenes from Egocentric Views. Siwei Zhang, Qianli Ma, Yan Zhang, Sadegh Aliakbarian, Darren Cosker, Siyu Tang |
| 2023 | Probabilistic Modeling of Inter- and Intra-observer Variability in Medical Image Segmentation. Arne Schmidt, Pablo Morales-Álvarez, Rafael Molina |
| 2023 | Probabilistic Precision and Recall Towards Reliable Evaluation of Generative Models. Dogyun Park, Suhyun Kim |
| 2023 | Probabilistic Triangulation for Uncalibrated Multi-View 3D Human Pose Estimation. Boyuan Jiang, Lei Hu, Shihong Xia |
| 2023 | Progressive Spatio-Temporal Prototype Matching for Text-Video Retrieval. Pandeng Li, Chen-Wei Xie, Liming Zhao, Hongtao Xie, Jiannan Ge, Yun Zheng, Deli Zhao, Yongdong Zhang |
| 2023 | Prompt Switch: Efficient CLIP Adaptation for Text-Video Retrieval. Chaorui Deng, Qi Chen, Pengda Qin, Da Chen, Qi Wu |
| 2023 | Prompt Tuning Inversion for Text-Driven Image Editing Using Diffusion Models. Wenkai Dong, Song Xue, Xiaoyue Duan, Shumin Han |
| 2023 | Prompt-aligned Gradient for Prompt Tuning. Beier Zhu, Yulei Niu, Yucheng Han, Yue Wu, Hanwang Zhang |
| 2023 | PromptCap: Prompt-Guided Image Captioning for VQA with GPT-3. Yushi Hu, Hang Hua, Zhengyuan Yang, Weijia Shi, Noah A. Smith, Jiebo Luo |
| 2023 | PromptStyler: Prompt-driven Style Generation for Source-free Domain Generalization. Junhyeong Cho, Gilhyun Nam, SungYeon Kim, Hunmin Yang, Suha Kwak |
| 2023 | ProtoFL: Unsupervised Federated Learning via Prototypical Distillation. Hansol Kim, Youngjun Kwak, Minyoung Jung, Jinho Shin, Youngsung Kim, Changick Kim |
| 2023 | ProtoTransfer: Cross-Modal Prototype Transfer for Point Cloud Segmentation. Pin Tang, Hai-Ming Xu, Chao Ma |
| 2023 | Prototype Reminiscence and Augmented Asymmetric Knowledge Aggregation for Non-Exemplar Class-Incremental Learning. Wuxuan Shi, Mang Ye |
| 2023 | Prototype-based Dataset Comparison. Nanne van Noord |
| 2023 | Prototypes-oriented Transductive Few-shot Learning with Conditional Transport. Long Tian, Jingyi Feng, Xiaoqiang Chai, Wenchao Chen, Liming Wang, Xiyang Liu, Bo Chen |
| 2023 | Prototypical Kernel Learning and Open-set Foreground Perception for Generalized Few-shot Semantic Segmentation. Kai Huang, Feigege Wang, Ye Xi, Yutao Gao |
| 2023 | Prototypical Mixing and Retrieval-based Refinement for Label Noise-resistant Image Retrieval. Xinlong Yang, Haixin Wang, Jinan Sun, Shikun Zhang, Chong Chen, Xian-Sheng Hua, Xiao Luo |
| 2023 | Proxy Anchor-based Unsupervised Learning for Continuous Generalized Category Discovery. Hyungmin Kim, Sungho Suh, Daehwan Kim, Daun Jeong, Hansang Cho, Junmo Kim |
| 2023 | Prune Spatio-temporal Tokens by Semantic-aware Temporal Accumulation. Shuangrui Ding, Peisen Zhao, Xiaopeng Zhang, Rui Qian, Hongkai Xiong, Qi Tian |
| 2023 | Pseudo Flow Consistency for Self-Supervised 6D Object Pose Estimation. Yang Hai, Rui Song, Jiaojiao Li, David Ferstl, Yinlin Hu |
| 2023 | Pseudo-label Alignment for Semi-supervised Instance Segmentation. Jie Hu, Chen Chen, Liujuan Cao, Shengchuan Zhang, Annan Shu, Guannan Jiang, Rongrong Ji |
| 2023 | Pyramid Dual Domain Injection Network for Pan-sharpening. Xuanhua He, Keyu Yan, Rui Li, Chengjun Xie, Jie Zhang, Man Zhou |
| 2023 | PØDA: Prompt-driven Zero-shot Domain Adaptation. Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, Raoul de Charette |
| 2023 | Q-Diffusion: Quantizing Diffusion Models. Xiuyu Li, Yijiang Liu, Long Lian, Huanrui Yang, Zhen Dong, Daniel Kang, Shanghang Zhang, Kurt Keutzer |
| 2023 | QD-BEV : Quantization-aware View-guided Distillation for Multi-view 3D Object Detection. Yifan Zhang, Zhen Dong, Huanrui Yang, Ming Lu, Cheng-Ching Tseng, Yuan Du, Kurt Keutzer, Li Du, Shanghang Zhang |
| 2023 | Quality Diversity for Visual Pre-Training. Ruchika Chavhan, Henry Gouk, Da Li, Timothy M. Hospedales |
| 2023 | Quality-Agnostic Deepfake Detection with Intra-model Collaborative Learning. Binh Minh Le, Simon S. Woo |
| 2023 | Query Refinement Transformer for 3D Instance Segmentation. Jiahao Lu, Jiacheng Deng, Chuxin Wang, Jianfeng He, Tianzhu Zhang |
| 2023 | Query6DoF: Learning Sparse Queries as Implicit Shape Prior for Category-Level 6DoF Pose Estimation. Ruiqi Wang, Xinggang Wang, Te Li, Rong Yang, Minhong Wan, Wen-Yu Liu |
| 2023 | R-Pred: Two-Stage Motion Prediction Via Tube-Query Attention-Based Trajectory Refinement. Sehwan Choi, Jungho Kim, Junyong Yun, Jun Won Choi |
| 2023 | R3D3: Dense 3D Reconstruction of Dynamic Scenes from Multiple Cameras. Aron Schmied, Tobias Fischer, Martin Danelljan, Marc Pollefeys, Fisher Yu |
| 2023 | RANA: Relightable Articulated Neural Avatars. Umar Iqbal, Akin Caliskan, Koki Nagano, Sameh Khamis, Pavlo Molchanov, Jan Kautz |
| 2023 | RCA-NOC: Relative Contrastive Alignment for Novel Object Captioning. Jiashuo Fan, Yaoyuan Liang, Leyao Liu, Shao-Lun Huang, Lei Zhang |
| 2023 | REAP: A Large-Scale Realistic Adversarial Patch Benchmark. Nabeel Hingun, Chawin Sitawarin, Jerry Li, David A. Wagner |
| 2023 | RED-PSM: Regularization by Denoising of Partially Separable Models for Dynamic Imaging. Berk Iskender, Marc Louis Klasky, Yoram Bresler |
| 2023 | RFD-ECNet: Extreme Underwater Image Compression with Reference to Feature Dictionary. Mengyao Li, Liquan Shen, Peng Ye, Guorui Feng, Zheyin Wang |
| 2023 | RFLA: A Stealthy Reflected Light Adversarial Attack in the Physical World. Donghua Wang, Wen Yao, Tingsong Jiang, Chao Li, Xiaoqian Chen |
| 2023 | RICO: Regularizing the Unobservable for Indoor Compositional Reconstruction. Zizhang Li, Xiaoyang Lyu, Yuanyuan Ding, Mengmeng Wang, Yiyi Liao, Yong Liu |
| 2023 | RIGID: Recurrent GAN Inversion and Editing of Real Face Videos. Yangyang Xu, Shengfeng He, Kwan-Yee K. Wong, Ping Luo |
| 2023 | RLIPv2: Fast Scaling of Relational Language-Image Pre-training. Hangjie Yuan, Shiwei Zhang, Xiang Wang, Samuel Albanie, Yining Pan, Tao Feng, Jianwen Jiang, Dong Ni, Yingya Zhang, Deli Zhao |
| 2023 | RLSAC: Reinforcement Learning enhanced Sample Consensus for End-to-End Robust Estimation. Chang Nie, Guangming Wang, Zhe Liu, Luca Cavalli, Marc Pollefeys, Hesheng Wang |
| 2023 | RMP-Loss: Regularizing Membrane Potential Distribution for Spiking Neural Networks. Yufei Guo, Xiaode Liu, Yuanpei Chen, Liwen Zhang, Weihang Peng, Yuhan Zhang, Xuhui Huang, Zhe Ma |
| 2023 | ROME: Robustifying Memory-Efficient NAS via Topology Disentanglement and Gradient Accumulation. Xiaoxing Wang, Xiangxiang Chu, Yuda Fan, Zhexi Zhang, Bo Zhang, Xiaokang Yang, Junchi Yan |
| 2023 | RPEFlow: Multimodal Fusion of RGB-PointCloud-Event for Joint Optical Flow and Scene Flow Estimation. Zhexiong Wan, Yuxin Mao, Jing Zhang, Yuchao Dai |
| 2023 | RPG-Palm: Realistic Pseudo-data Generation for Palmprint Recognition. Lei Shen, Jianlong Jin, Ruixin Zhang, Huaen Li, Kai Zhao, Yingyi Zhang, Jingyun Zhang, Shouhong Ding, Yang Zhao, Wei Jia |
| 2023 | RSFNet: A White-Box Image Retouching Approach using Region-Specific Color Filters. Wenqi Ouyang, Yi Dong, Xiaoyang Kang, Peiran Ren, Xin Xu, Xuansong Xie |
| 2023 | Random Boxes Are Open-world Object Detectors. Yanghao Wang, Zhongqi Yue, Xian-Sheng Hua, Hanwang Zhang |
| 2023 | Random Sub-Samples Generation for Self-Supervised Real Image Denoising. Yizhong Pan, Xiao Liu, Xiangyu Liao, Yuanzhouhan Cao, Chao Ren |
| 2023 | Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning. Huimin Wu, Chenyang Lei, Xiao Sun, Peng-Shuai Wang, Qifeng Chen, Kwang-Ting Cheng, Stephen Lin, Zhirong Wu |
| 2023 | RankMatch: Fostering Confidence and Consistency in Learning with Noisy Labels. Ziyi Zhang, Weikai Chen, Chaowei Fang, Zhen Li, Lechao Chen, Liang Lin, Guanbin Li |
| 2023 | RankMixup: Ranking-Based Mixup Training for Network Calibration. Jongyoun Noh, Hyekang Park, Junghyup Lee, Bumsub Ham |
| 2023 | Rapid Adaptation in Online Continual Learning: Are We Evaluating It Right? Hasan Abed Al Kader Hammoud, Ameya Prabhu, Ser-Nam Lim, Philip H. S. Torr, Adel Bibi, Bernard Ghanem |
| 2023 | Rapid Network Adaptation: Learning to Adapt Neural Networks Using Test-Time Feedback. Teresa Yeo, Oguzhan Fatih Kar, Zahra Sodagar, Amir Zamir |
| 2023 | RawHDR: High Dynamic Range Image Reconstruction from a Single Raw Image. Yunhao Zou, Chenggang Yan, Ying Fu |
| 2023 | Ray Conditioning: Trading Photo-consistency for Photo-realism in Multi-view Image Generation. Eric Ming Chen, Sidhanth Holalkere, Ruyu Yan, Kai Zhang, Abe Davis |
| 2023 | RbA: Segmenting Unknown Regions Rejected by All. Nazir Nayal, Misra Yavuz, João F. Henriques, Fatma Güney |
| 2023 | Re-ReND: Real-time Rendering of NeRFs across Devices. Sara Rojas, Jesus Zarzar, Juan C. Pérez, Artsiom Sanakoyeu, Ali K. Thabet, Albert Pumarola, Bernard Ghanem |
| 2023 | Re-mine, Learn and Reason: Exploring the Cross-modal Semantic Correlations for Language-guided HOI detection. Yichao Cao, Qingfei Tang, Feng Yang, Xiu Su, Shan You, Xiaobo Lu, Chang Xu |
| 2023 | Re: PolyWorld - A Graph Neural Network for Polygonal Scene Parsing. Stefano Zorzi, Friedrich Fraundorfer |
| 2023 | ReFit: Recurrent Fitting Network for 3D Human Recovery. Yufu Wang, Kostas Daniilidis |
| 2023 | ReGen: A good Generative zero-shot video classifier should be Rewarded. Adrian Bulat, Enrique Sanchez, Brais Martínez, Georgios Tzimiropoulos |
| 2023 | ReLeaPS : Reinforcement Learning-based Illumination Planning for Generalized Photometric Stereo. Jun Hoong Chan, Bohan Yu, Heng Guo, Jieji Ren, Zongqing Lu, Boxin Shi |
| 2023 | ReMoDiffuse: Retrieval-Augmented Motion Diffusion Model. Mingyuan Zhang, Xinying Guo, Liang Pan, Zhongang Cai, Fangzhou Hong, Huirong Li, Lei Yang, Ziwei Liu |
| 2023 | ReNeRF: Relightable Neural Radiance Fields with Nearfield Lighting. Yingyan Xu, Gaspard Zoss, Prashanth Chandran, Markus Gross, Derek Bradley, Paulo F. U. Gotardo |
| 2023 | ReST: A Reconfigurable Spatial-Temporal Graph Model for Multi-Camera Multi-Object Tracking. Cheng-Che Cheng, Min-Xuan Qiu, Chen-Kuo Chiang, Shang-Hong Lai |
| 2023 | ReactioNet: Learning High-order Facial Behavior from Universal Stimulus-Reaction by Dyadic Relation Reasoning. Xiaotian Li, Taoyue Wang, Geran Zhao, Xiang Zhang, Xi Kang, Lijun Yin |
| 2023 | Read-only Prompt Optimization for Vision-Language Few-shot Learning. Dongjun Lee, Seokwon Song, Jihee Suh, Joonmyeong Choi, Sanghyeok Lee, Hyunwoo J. Kim |
| 2023 | Real-Time Neural Rasterization for Large Scenes. Jeffrey Yunfan Liu, Yun Chen, Ze Yang, Jingkang Wang, Sivabalan Manivasagam, Raquel Urtasun |
| 2023 | RealGraph: A Multiview Dataset for 4D Real-world Context Graph Generation. Haozhe Lin, Zequn Chen, Jinzhi Zhang, Bing Bai, Yu Wang, Ruqi Huang, Lu Fang |
| 2023 | Realistic Full-Body Tracking from Sparse Observations via Joint-Level Modeling. Xiaozheng Zheng, Zhuo Su, Chao Wen, Zhou Xue, Xiaojie Jin |
| 2023 | RecRecNet: Rectangling Rectified Wide-Angle Images by Thin-Plate Spline Model and DoF-based Curriculum Learning. Kang Liao, Lang Nie, Chunyu Lin, Zishuo Zheng, Yao Zhao |
| 2023 | Reconciling Object-Level and Global-Level Objectives for Long-Tail Detection. Shaoyu Zhang, Chen Chen, Silong Peng |
| 2023 | Reconstructed Convolution Module Based Look-Up Tables for Efficient Image Super-Resolution. Guandu Liu, Yukang Ding, Mading Li, Ming Sun, Xing Wen, Bin Wang |
| 2023 | Reconstructing Groups of People with Hypergraph Relational Reasoning. Buzhen Huang, Jingyi Ju, Zhihao Li, Yangang Wang |
| 2023 | Reconstructing Interacting Hands with Interaction Prior from Monocular Images. Binghui Zuo, Zimeng Zhao, Wenqian Sun, Wei Xie, Zhou Xue, Yangang Wang |
| 2023 | Recovering a Molecule's 3D Dynamics from Liquid-phase Electron Microscopy Movies. Enze Ye, Yuhang Wang, Hong Zhang, Yiqin Gao, Huan Wang, He Sun |
| 2023 | Recursive Video Lane Detection. Dongkwon Jin, Dahyun Kim, Chang-Su Kim |
| 2023 | RecursiveDet: End-to-End Region-based Recursive Object Detection. Jing Zhao, Li Sun, Qingli Li |
| 2023 | Reducing Training Time in Cross-Silo Federated Learning using Multigraph Topology. Tuong Do, Binh X. Nguyen, Vuong Pham, Toan Tran, Erman Tjiputra, Quang D. Tran, Anh Nguyen |
| 2023 | Ref-NeuS: Ambiguity-Reduced Neural Implicit Surface Learning for Multi-View Reconstruction with Reflection. Wenhang Ge, Tao Hu, Haoyu Zhao, Shu Liu, Ying-Cong Chen |
| 2023 | RefEgo: Referring Expression Comprehension Dataset from First-Person Perception of Ego4D. Shuhei Kurita, Naoki Katsura, Eri Onami |
| 2023 | Reference-guided Controllable Inpainting of Neural Radiance Fields. Ashkan Mirzaei, Tristan Aumentado-Armstrong, Marcus A. Brubaker, Jonathan Kelly, Alex Levinshtein, Konstantinos G. Derpanis, Igor Gilitschenski |
| 2023 | Referring Image Segmentation Using Text Supervision. Fang Liu, Yuhao Liu, Yuqiu Kong, Ke Xu, Lihe Zhang, Baocai Yin, Gerhard P. Hancke, Rynson W. H. Lau |
| 2023 | RegFormer: An Efficient Projection-Aware Transformer Network for Large-Scale Point Cloud Registration. Jiuming Liu, Guangming Wang, Zhe Liu, Chaokang Jiang, Marc Pollefeys, Hesheng Wang |
| 2023 | Regularized Mask Tuning: Uncovering Hidden Knowledge in Pre-trained Vision-Language Models. Kecheng Zheng, Wei Wu, Ruili Feng, Kai Zhu, Jiawei Liu, Deli Zhao, Zheng-Jun Zha, Wei Chen, Yujun Shen |
| 2023 | Regularized Primitive Graph Learning for Unified Vector Mapping. Lei Wang, Min Dai, Jianan He, Jingwei Huang |
| 2023 | Rehearsal-Free Domain Continual Face Anti-Spoofing: Generalize More and Forget Less. Rizhao Cai, Yawen Cui, Zhi Li, Zitong Yu, Haoliang Li, Yongjian Hu, Alex C. Kot |
| 2023 | Reinforce Data, Multiply Impact: Improved Model Accuracy and Robustness with Dataset Reinforcement. Fartash Faghri, Hadi Pouransari, Sachin Mehta, Mehrdad Farajtabar, Ali Farhadi, Mohammad Rastegari, Oncel Tuzel |
| 2023 | Reinforced Disentanglement for Face Swapping without Skip Connection. Xiaohang Ren, Xingyu Chen, Pengfei Yao, Heung-Yeung Shum, Baoyuan Wang |
| 2023 | Relightify: Relightable 3D Faces from a Single Image via Diffusion Models. Foivos Paraperas Papantoniou, Alexandros Lattas, Stylianos Moschoglou, Stefanos Zafeiriou |
| 2023 | Remembering Normality: Memory-guided Knowledge Distillation for Unsupervised Anomaly Detection. Zhihao Gu, Liang Liu, Xu Chen, Ran Yi, Jiangning Zhang, Yabiao Wang, Chengjie Wang, Annan Shu, Guannan Jiang, Lizhuang Ma |
| 2023 | Removing Anomalies as Noises for Industrial Defect Localization. Fanbin Lu, Xufeng Yao, Chi-Wing Fu, Jiaya Jia |
| 2023 | RenderIH: A Large-scale Synthetic Dataset for 3D Interacting Hand Pose Estimation. Lijun Li, Linrui Tian, Xindi Zhang, Qi Wang, Bang Zhang, Liefeng Bo, Mengyuan Liu, Chen Chen |
| 2023 | Rendering Humans from Object-Occluded Monocular Videos. Tiange Xiang, Adam Sun, Jiajun Wu, Ehsan Adeli, Li Fei-Fei |
| 2023 | RepQ-ViT: Scale Reparameterization for Post-Training Quantization of Vision Transformers. Zhikai Li, Junrui Xiao, Lianwei Yang, Qingyi Gu |
| 2023 | Replay: Multi-modal Multi-view Acted Videos for Casual Holography. Roman Shapovalov, Yanir Kleiman, Ignacio Rocco, David Novotný, Andrea Vedaldi, Changan Chen, Filippos Kokkinos, Benjamin Graham, Natalia Neverova |
| 2023 | Representation Disparity-aware Distillation for 3D Object Detection. Yanjing Li, Sheng Xu, Mingbao Lin, Jihao Yin, Baochang Zhang, Xianbin Cao |
| 2023 | Representation Uncertainty in Self-Supervised Learning as Variational Inference. Hiroki Nakamura, Masashi Okada, Tadahiro Taniguchi |
| 2023 | ResQ: Residual Quantization for Video Perception. Davide Abati, Haitam Ben Yahia, Markus Nagel, Amirhossein Habibian |
| 2023 | Residual Pattern Learning for Pixel-wise Out-of-Distribution Detection in Semantic Segmentation. Yuyuan Liu, Choubo Ding, Yu Tian, Guansong Pang, Vasileios Belagiannis, Ian D. Reid, Gustavo Carneiro |
| 2023 | Rethinking Amodal Video Segmentation from Learning Supervised Signals with Object-centric Representation. Ke Fan, Jingshi Lei, Xuelin Qian, Miaopeng Yu, Tianjun Xiao, Tong He, Zheng Zhang, Yanwei Fu |
| 2023 | Rethinking Data Distillation: Do Not Overlook Calibration. Dongyao Zhu, Yanbo Fang, Bowen Lei, Yiqun Xie, Dongkuan Xu, Jie Zhang, Ruqi Zhang |
| 2023 | Rethinking Fast Fourier Convolution in Image Inpainting. Tianyi Chu, Jiafu Chen, Jiakai Sun, Shuobin Lian, Zhizhong Wang, Zhiwen Zuo, Lei Zhao, Wei Xing, Dongming Lu |
| 2023 | Rethinking Mobile Block for Efficient Attention-based Models. Jiangning Zhang, Xiangtai Li, Jian Li, Liang Liu, Zhucun Xue, Boshen Zhang, Zhengkai Jiang, Tianxin Huang, Yabiao Wang, Chengjie Wang |
| 2023 | Rethinking Multi-Contrast MRI Super-Resolution: Rectangle-Window Cross-Attention Transformer and Arbitrary-Scale Upsampling. Guangyuan Li, Lei Zhao, Jiakai Sun, Zehua Lan, Zhanjie Zhang, Jiafu Chen, Zhijie Lin, Huaizhong Lin, Wei Xing |
| 2023 | Rethinking Point Cloud Registration as Masking and Reconstruction. Guangyan Chen, Meiling Wang, Li Yuan, Yi Yang, Yufeng Yue |
| 2023 | Rethinking Range View Representation for LiDAR Segmentation. Lingdong Kong, Youquan Liu, Runnan Chen, Yuexin Ma, Xinge Zhu, Yikang Li, Yuenan Hou, Yu Qiao, Ziwei Liu |
| 2023 | Rethinking Safe Semi-supervised Learning: Transferring the Open-set Problem to A Close-set One. Qiankun Ma, Jiyao Gao, Bo Zhan, Yunpeng Guo, Jiliu Zhou, Yan Wang |
| 2023 | Rethinking Video Frame Interpolation from Shutter Mode Induced Degradation. Xiang Ji, Zhixiang Wang, Zhihang Zhong, Yinqiang Zheng |
| 2023 | Rethinking Vision Transformers for MobileNet Size and Speed. Yanyu Li, Ju Hu, Yang Wen, Georgios Evangelidis, Kamyar Salahi, Yanzhi Wang, Sergey Tulyakov, Jian Ren |
| 2023 | Rethinking pose estimation in crowds: overcoming the detection information bottleneck and ambiguity. Mu Zhou, Lucas Stoffl, Mackenzie Weygandt Mathis, Alexander Mathis |
| 2023 | Rethinking the Role of Pre-Trained Networks in Source-Free Domain Adaptation. Wenyu Zhang, Li Shen, Chuan-Sheng Foo |
| 2023 | Retinexformer: One-stage Retinex-based Transformer for Low-light Image Enhancement. Yuanhao Cai, Hao Bian, Jing Lin, Haoqian Wang, Radu Timofte, Yulun Zhang |
| 2023 | Retro-FPN: Retrospective Feature Pyramid Network for Point Cloud Semantic Segmentation. Peng Xiang, Xin Wen, Yu-Shen Liu, Hui Zhang, Yi Fang, Zhizhong Han |
| 2023 | Revisit PCA-based technique for Out-of-Distribution Detection. Xiaoyuan Guan, Zhouwu Liu, Wei-Shi Zheng, Yuren Zhou, Ruixuan Wang |
| 2023 | Revisiting Domain-Adaptive 3D Object Detection by Reliable, Diverse and Class-balanced Pseudo-Labeling. Zhuoxiao Chen, Yadan Luo, Zheng Wang, Mahsa Baktashmotlagh, Zi Huang |
| 2023 | Revisiting Foreground and Background Separation in Weakly-supervised Temporal Action Localization: A Clustering-based Approach. Qinying Liu, Zilei Wang, Shenghai Rong, Junjie Li, Yixin Zhang |
| 2023 | Revisiting Scene Text Recognition: A Data Perspective. Qing Jiang, Jiapeng Wang, Dezhi Peng, Chongyu Liu, Lianwen Jin |
| 2023 | Revisiting Vision Transformer from the View of Path Ensemble. Shuning Chang, Pichao Wang, Hao Luo, Fan Wang, Mike Zheng Shou |
| 2023 | Revisiting the Parameter Efficiency of Adapters from the Perspective of Precision Redundancy. Shibo Jie, Haoqing Wang, Zhi-Hong Deng |
| 2023 | Rickrolling the Artist: Injecting Backdoors into Text Encoders for Text-to-Image Synthesis. Lukas Struppek, Dominik Hintersdorf, Kristian Kersting |
| 2023 | Robo3D: Towards Robust and Reliable 3D Perception against Corruptions. Lingdong Kong, Youquan Liu, Xin Li, Runnan Chen, Wenwei Zhang, Jiawei Ren, Liang Pan, Kai Chen, Ziwei Liu |
| 2023 | Robust Evaluation of Diffusion-Based Adversarial Purification. Minjong Lee, Dongwoo Kim |
| 2023 | Robust Frame-to-Frame Camera Rotation Estimation in Crowded Scenes. Fabien Delattre, David Dirnfeld, Phat Nguyen, Stephen Scarano, Michael J. Jones, Pedro Miraldo, Erik G. Learned-Miller |
| 2023 | Robust Geometry-Preserving Depth Estimation Using Differentiable Rendering. Chi Zhang, Wei Yin, Gang Yu, Zhibin Wang, Tao Chen, Bin Fu, Joey Tianyi Zhou, Chunhua Shen |
| 2023 | Robust Heterogeneous Federated Learning under Data Corruption. Xiuwen Fang, Mang Ye, Xiyuan Yang |
| 2023 | Robust Mixture-of-Expert Training for Convolutional Neural Networks. Yihua Zhang, Ruisi Cai, Tianlong Chen, Guanhua Zhang, Huan Zhang, Pin-Yu Chen, Shiyu Chang, Zhangyang Wang, Sijia Liu |
| 2023 | Robust Monocular Depth Estimation under Challenging Conditions. Stefano Gasperini, Nils Morbitzer, HyunJun Jung, Nassir Navab, Federico Tombari |
| 2023 | Robust Object Modeling for Visual Tracking. Yidong Cai, Jie Liu, Jie Tang, Gangshan Wu |
| 2023 | Robust One-Shot Face Video Re-enactment using Hybrid Latent Spaces of StyleGAN2. Trevine Oorloff, Yaser Yacoob |
| 2023 | Robust Referring Video Object Segmentation with Cyclic Structural Consensus. Xiang Li, Jinglu Wang, Xiaohao Xu, Xiao Li, Bhiksha Raj, Yan Lu |
| 2023 | Robust e-NeRF: NeRF from Sparse & Noisy Events under Non-Uniform Motion. Weng Fei Low, Gim Hee Lee |
| 2023 | Robustifying Token Attention for Vision Transformers. Yong Guo, David Stutz, Bernt Schiele |
| 2023 | Role-aware Interaction Generation from Textual Description. Mikihiro Tanaka, Kent Fujiwara |
| 2023 | Root Pose Decomposition Towards Generic Non-rigid 3D Reconstruction with Monocular Videos. Yikai Wang, Yinpeng Dong, Fuchun Sun, Xiao Yang |
| 2023 | Rosetta Neurons: Mining the Common Units in a Model Zoo. Amil Dravid, Yossi Gandelsman, Alexei A. Efros, Assaf Shocher |
| 2023 | S-TREK: Sequential Translation and Rotation Equivariant Keypoints for local feature extraction. Emanuele Santellani, Christian Sormann, Mattia Rossi, Andreas Kuhn, Friedrich Fraundorfer |
| 2023 | S-VolSDF: Sparse Multi-View Stereo Regularization of Neural Implicit Surfaces. Haoyu Wu, Alexandros Graikos, Dimitris Samaras |
| 2023 | S3IM: Stochastic Structural SIMilarity and Its Unreasonable Effectiveness for Neural Fields. Zeke Xie, Xindi Yang, Yujie Yang, Qi Sun, Yixiang Jiang, Haoran Wang, Yunfeng Cai, Mingming Sun |
| 2023 | SA-BEV: Generating Semantic-Aware Bird's-Eye-View Feature for Multi-view 3D Object Detection. Jinqing Zhang, Yanan Zhang, Qingjie Liu, Yunhong Wang |
| 2023 | SAFARI: Versatile and Efficient Evaluations for Robustness of Interpretability. Wei Huang, Xingyu Zhao, Gaojie Jin, Xiaowei Huang |
| 2023 | SAFE: Machine Unlearning With Shard Graphs. Yonatan Dukler, Benjamin Bowman, Alessandro Achille, Aditya Golatkar, Ashwin Swaminathan, Stefano Soatto |
| 2023 | SAFE: Sensitivity-Aware Features for Out-of-Distribution Object Detection. Samuel Wilson, Tobias Fischer, Feras Dayoub, Dimity Miller, Niko Sünderhauf |
| 2023 | SAFL-Net: Semantic-Agnostic Feature Learning Network with Auxiliary Plugins for Image Manipulation Detection. Zhihao Sun, Haoran Jiang, Danding Wang, Xirong Li, Juan Cao |
| 2023 | SAGA: Spectral Adversarial Geometric Attack on 3D Meshes. Tomer Stolik, Itai Lang, Shai Avidan |
| 2023 | SAL-ViT: Towards Latency Efficient Private Inference on ViT using Selective Attention Search with a Learnable Softmax Approximation. Yuke Zhang, Dake Chen, Souvik Kundu, Chenghao Li, Peter A. Beerel |
| 2023 | SALAD: Part-Level Latent Diffusion for 3D Shape Generation and Manipulation. Juil Koo, Seungwoo Yoo, Minh Hieu Nguyen, Minhyuk Sung |
| 2023 | SAMPLING: Scene-adaptive Hierarchical Multiplane Images Representation for Novel View Synthesis from a Single Image. Xiaoyu Zhou, Zhiwei Lin, Xiaojun Shan, Yongtao Wang, Deqing Sun, Ming-Hsuan Yang |
| 2023 | SATR: Zero-Shot Semantic Segmentation of 3D Shapes. Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, Peter Wonka |
| 2023 | SC3K: Self-supervised and Coherent 3D Keypoints Estimation from Rotated, Noisy, and Decimated Point Cloud Data. Mohammad Zohaib, Alessio Del Bue |
| 2023 | SCANet: Scene Complexity Aware Network for Weakly-Supervised Video Moment Retrieval. Sunjae Yoon, Gwanhyeong Koo, Dahyun Kim, Chang D. Yoo |
| 2023 | SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap. Daehee Kim, Yoonsik Kim, Donghyun Kim, Yumin Lim, Geewook Kim, Taeho Kil |
| 2023 | SEFD: Learning to Distill Complex Pose and Occlusion. ChangHee Yang, Kyeongbo Kong, Sung-Jun Min, Dongyoon Wee, Ho-Deok Jang, Geonho Cha, Suk-Ju Kang |
| 2023 | SFHarmony: Source Free Domain Adaptation for Distributed Neuroimaging Analysis. Nicola K. Dinsdale, Mark Jenkinson, Ana I. L. Namburete |
| 2023 | SG-Former: Self-guided Transformer with Evolving Token Reallocation. Sucheng Ren, Xingyi Yang, Songhua Liu, Xinchao Wang |
| 2023 | SGAligner: 3D Scene Alignment with Scene Graphs. Sayan Deb Sarkar, Ondrej Miksik, Marc Pollefeys, Daniel Barath, Iro Armeni |
| 2023 | SHACIRA: Scalable HAsh-grid Compression for Implicit Neural Representations. Sharath Girish, Abhinav Shrivastava, Kamal Gupta |
| 2023 | SHERF: Generalizable Human NeRF from a Single Image. Shoukang Hu, Fangzhou Hong, Liang Pan, Haiyi Mei, Lei Yang, Ziwei Liu |
| 2023 | SHIFT3D: Synthesizing Hard Inputs For Tricking 3D Detectors. Hongge Chen, Zhao Chen, Gregory P. Meyer, Dennis Park, Carl Vondrick, Ashish Shrivastava, Yuning Chai |
| 2023 | SIDGAN: High-Resolution Dubbed Video Generation via Shift-Invariant Learning. Urwa Muaz, Wondong Jang, Rohun Tripathi, Santhosh Mani, Wenbin Ouyang, Ravi Teja Gadde, Baris Gecer, Sergio Elizondo, Reza Madad, Naveen Nair |
| 2023 | SILT: Shadow-aware Iterative Label Tuning for Learning to Detect Shadows from Noisy Labels. Han Yang, Tianyu Wang, Xiaowei Hu, Chi-Wing Fu |
| 2023 | SINC: Self-Supervised In-Context Learning for Vision-Language Tasks. Yi-Syuan Chen, Yun-Zhu Song, Cheng Yu Yeo, Bei Liu, Jianlong Fu, Hong-Han Shuai |
| 2023 | SINC: Spatial Composition of 3D Human Motions for Simultaneous Action Generation. Nikos Athanasiou, Mathis Petrovich, Michael J. Black, Gül Varol |
| 2023 | SIRA-PCR: Sim-to-Real Adaptation for 3D Point Cloud Registration. Suyi Chen, Hao Xu, Ru Li, Guanghui Liu, Chi-Wing Fu, Shuaicheng Liu |
| 2023 | SKED: Sketch-guided Text-based 3D Editing. Aryan Mikaeili, Or Perel, Mehdi Safaee, Daniel Cohen-Or, Ali Mahdavi-Amiri |
| 2023 | SKiT: a Fast Key Information Video Transformer for Online Surgical Phase Recognition. Yang Liu, Jiayu Huo, Jingjing Peng, Rachel Sparks, Prokar Dasgupta, Alejandro Granados, Sébastien Ourselin |
| 2023 | SLAN: Self-Locator Aided Network for Vision-Language Understanding. Jiang-Tian Zhai, Qi Zhang, Tong Wu, Xing-Yu Chen, Jiang-Jiang Liu, Ming-Ming Cheng |
| 2023 | SLCA: Slow Learner with Classifier Alignment for Continual Learning on a Pre-trained Model. Gengwei Zhang, Liyuan Wang, Guoliang Kang, Ling Chen, Yunchao Wei |
| 2023 | SMAUG: Sparse Masked Autoencoder for Efficient Video-Language Pre-training. Yuanze Lin, Chen Wei, Huiyu Wang, Alan L. Yuille, Cihang Xie |
| 2023 | SMMix: Self-Motivated Image Mixing for Vision Transformers. Mengzhao Chen, Mingbao Lin, Zhihang Lin, Yuxin Zhang, Fei Chao, Rongrong Ji |
| 2023 | SOAR: Scene-debiasing Open-set Action Recognition. Yuanhao Zhai, Ziyi Liu, Zhenyu Wu, Yi Wu, Chunluan Zhou, David S. Doermann, Junsong Yuan, Gang Hua |
| 2023 | SOCS: Semantically-aware Object Coordinate Space for Category-Level 6D Object Pose Estimation under Large Shape Variations. Boyan Wan, Yifei Shi, Kai Xu |
| 2023 | SPACE: Speech-driven Portrait Animation with Controllable Expression. Siddharth Gururani, Arun Mallya, Ting-Chun Wang, Rafael Valle, Ming-Yu Liu |
| 2023 | SPANet: Frequency-balancing Token Mixer using Spectral Pooling Aggregation Modulation. Guhnoo Yun, Juhan Yoo, Kijung Kim, Jeongho Lee, Dong Hwan Kim |
| 2023 | SQAD: Automatic Smartphone Camera Quality Assessment and Benchmarking. Zilin Fang, Andrey Ignatov, Eduard Zamfir, Radu Timofte |
| 2023 | SRFormer: Permuted Self-Attention for Single Image Super-Resolution. Yupeng Zhou, Zhen Li, Chun-Le Guo, Song Bai, Ming-Ming Cheng, Qibin Hou |
| 2023 | SSB: Simple but Strong Baseline for Boosting Performance of Open-Set Semi-Supervised Learning. Yue Fan, Anna Kukleva, Dengxin Dai, Bernt Schiele |
| 2023 | SSDA: Secure Source-Free Domain Adaptation. Sabbir Ahmed, Abdullah Al Arafat, Mamshad Nayeem Rizve, Rahim Hossain, Zhishan Guo, Adnan Siraj Rakin |
| 2023 | SSF: Accelerating Training of Spiking Neural Networks with Stabilized Spiking Flow. Jingtao Wang, Zengjie Song, Yuxi Wang, Jun Xiao, Yuran Yang, Shuqi Mei, Zhaoxiang Zhang |
| 2023 | STEERER: Resolving Scale Variations for Counting and Localization via Selective Inheritance Learning. Tao Han, Lei Bai, Lingbo Liu, Wanli Ouyang |
| 2023 | STEPs: Self-Supervised Key Step Extraction and Localization from Unlabeled Procedural Videos. Anshul Shah, Benjamin Lundell, Harpreet Sawhney, Rama Chellappa |
| 2023 | STPrivacy: Spatio-Temporal Privacy-Preserving Action Recognition. Ming Li, Xiangyu Xu, Hehe Fan, Pan Zhou, Jun Liu, Jia-Wei Liu, Jiahe Li, Jussi Keppo, Mike Zheng Shou, Shuicheng Yan |
| 2023 | SUMMIT: Source-Free Adaptation of Uni-Modal Models to Multi-Modal Targets. Cody Simons, Dripta S. Raychaudhuri, Sk Miraj Ahmed, Suya You, Konstantinos Karydis, Amit K. Roy-Chowdhury |
| 2023 | SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator. Zhe Zhu, Honghua Chen, Xing He, Weiming Wang, Jing Qin, Mingqiang Wei |
| 2023 | SVDiff: Compact Parameter Space for Diffusion Fine-Tuning. Ligong Han, Yinxiao Li, Han Zhang, Peyman Milanfar, Dimitris N. Metaxas, Feng Yang |
| 2023 | SVQNet: Sparse Voxel-Adjacent Query Network for 4D Spatio-Temporal LiDAR Semantic Segmentation. Xuechao Chen, Shuangjie Xu, Xiaoyi Zou, Tongyi Cao, Dit-Yan Yeung, Lu Fang |
| 2023 | SYENet: A Simple Yet Effective Network for Multiple Low-Level Vision Tasks with Real-time Performance on Mobile Device. Weiran Gou, Ziyao Yi, Yan Xiang, Shaoqing Li, Zibin Liu, Dehui Kong, Ke Xu |
| 2023 | Saliency Regularization for Self-Training with Partial Annotations. Shouwen Wang, Qian Wan, Xiang Xiang, Zhigang Zeng |
| 2023 | Sample-adaptive Augmentation for Point Cloud Recognition Against Real-world Corruptions. Jie Wang, Lihe Ding, Tingfa Xu, Shaocong Dong, Xinli Xu, Long Bai, Jianan Li |
| 2023 | Sample-wise Label Confidence Incorporation for Learning with Noisy Labels. Chanho Ahn, Kikyung Kim, Ji-Won Baek, Jongin Lim, Seungju Han |
| 2023 | Sample4Geo: Hard Negative Sampling For Cross-View Geo-Localisation. Fabian Deuser, Konrad Habel, Norbert Oswald |
| 2023 | Sat2Density: Faithful Density Learning from Satellite-Ground Image Pairs. Ming Qian, Jincheng Xiong, Gui-Song Xia, Nan Xue |
| 2023 | SatlasPretrain: A Large-Scale Dataset for Remote Sensing Image Understanding. Favyen Bastani, Piper Wolters, Ritwik Gupta, Joe Ferdinando, Aniruddha Kembhavi |
| 2023 | Scalable Diffusion Models with Transformers. William Peebles, Saining Xie |
| 2023 | Scalable Multi-Temporal Remote Sensing Change Data Generation via Simulating Stochastic Change Process. Zhuo Zheng, Shiqi Tian, Ailong Ma, Liangpei Zhang, Yanfei Zhong |
| 2023 | Scalable Video Object Segmentation with Simplified Framework. Qiangqiang Wu, Tianyu Yang, Wei Wu, Antoni B. Chan |
| 2023 | Scale-Aware Modulation Meet Transformer. Weifeng Lin, Ziheng Wu, Jiayu Chen, Jun Huang, Lianwen Jin |
| 2023 | Scale-MAE: A Scale-Aware Masked Autoencoder for Multiscale Geospatial Representation Learning. Colorado J. Reed, Ritwik Gupta, Shufan Li, Sarah Brockman, Christopher Funk, Brian Clipp, Kurt Keutzer, Salvatore Candido, Matt Uyttendaele, Trevor Darrell |
| 2023 | Scaling Data Generation in Vision-and-Language Navigation. Zun Wang, Jialu Li, Yicong Hong, Yi Wang, Qi Wu, Mohit Bansal, Stephen Gould, Hao Tan, Yu Qiao |
| 2023 | ScanNet++: A High-Fidelity Dataset of 3D Indoor Scenes. Chandan Yeshwanth, Yueh-Cheng Liu, Matthias Nießner, Angela Dai |
| 2023 | Scanning Only Once: An End-to-end Framework for Fast Temporal Grounding in Long Videos. Yulin Pan, Xiangteng He, Biao Gong, Yiliang Lv, Yujun Shen, Yuxin Peng, Deli Zhao |
| 2023 | ScatterNeRF: Seeing Through Fog with Physically-Based Inverse Neural Rendering. Andrea Ramazzina, Mario Bijelic, Stefanie Walz, Alessandro Sanvito, Dominik Scheuble, Felix Heide |
| 2023 | Scene Graph Contrastive Learning for Embodied Navigation. Kunal Pratap Singh, Jordi Salvador, Luca Weihs, Aniruddha Kembhavi |
| 2023 | Scene Matters: Model-based Deep Video Compression. Lv Tang, Xinfeng Zhang, Gai Zhang, Xiaoqi Ma |
| 2023 | Scene as Occupancy. Wenwen Tong, Chonghao Sima, Tai Wang, Li Chen, Silei Wu, Hanming Deng, Yi Gu, Lewei Lu, Ping Luo, Dahua Lin, Hongyang Li |
| 2023 | Scene-Aware Feature Matching. Xiaoyong Lu, Yaping Yan, Tong Wei, Songlin Du |
| 2023 | Scene-Aware Label Graph Learning for Multi-Label Image Classification. Xuelin Zhu, Jian Liu, Weijia Liu, Jiawei Ge, Bo Liu, Jiuxin Cao |
| 2023 | SceneRF: Self-Supervised Monocular 3D Scene Reconstruction with Radiance Fields. Anh-Quan Cao, Raoul de Charette |
| 2023 | Scenimefy: Learning to Craft Anime Scene via Semi-Supervised Image-to-Image Translation. Yuxin Jiang, Liming Jiang, Shuai Yang, Chen Change Loy |
| 2023 | Score Priors Guided Deep Variational Inference for Unsupervised Real-World Single Image Denoising. Jun Cheng, Tao Liu, Shan Tan |
| 2023 | Score-Based Diffusion Models as Principled Priors for Inverse Imaging. Berthy T. Feng, Jamie Smith, Michael Rubinstein, Huiwen Chang, Katherine L. Bouman, William T. Freeman |
| 2023 | Scratch Each Other's Back: Incomplete Multi-modal Brain Tumor Segmentation Via Category Aware Group Self-Support Learning. Yansheng Qiu, Delin Chen, Hongdou Yao, Yongchao Xu, Zheng Wang |
| 2023 | Scratching Visual Transformer's Back with Uniform Attention. Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh |
| 2023 | Seal-3D: Interactive Pixel-Level Editing for Neural Radiance Fields. Xiangyu Wang, Jingsen Zhu, Qi Ye, Yuchi Huo, Yunlong Ran, Zhihua Zhong, Jiming Chen |
| 2023 | Search for or Navigate to? Dual Adaptive Thinking for Object Navigation. Ronghao Dang, Liuyi Wang, Zongtao He, Shuai Su, Jiagui Tang, Chengju Liu, Qijun Chen |
| 2023 | See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data. Yuhang Lu, Qi Jiang, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma |
| 2023 | SeeABLE: Soft Discrepancies and Bounded Contrastive Learning for Exposing Deepfakes. Nicolas Larue, Ngoc-Son Vu, Vitomir Struc, Peter Peer, Vassilis Christophides |
| 2023 | Seeing Beyond the Patch: Scale-Adaptive Semantic Segmentation of High-resolution Remote Sensing Imagery based on Reinforcement Learning. Yinhe Liu, Sunan Shi, Junjue Wang, Yanfei Zhong |
| 2023 | SegGPT: Towards Segmenting Everything In Context. Xinlong Wang, Xiaosong Zhang, Yue Cao, Wen Wang, Chunhua Shen, Tiejun Huang |
| 2023 | SegPrompt: Boosting Open-world Segmentation via Category-level Prompt Learning. Muzhi Zhu, Hengtao Li, Hao Chen, Chengxiang Fan, Weian Mao, Chenchen Jing, Yifan Liu, Chunhua Shen |
| 2023 | SegRCDB: Semantic Segmentation via Formula-Driven Supervised Learning. Risa Shinoda, Ryo Hayamizu, Kodai Nakashima, Nakamasa Inoue, Rio Yokota, Hirokatsu Kataoka |
| 2023 | Segment Anything. Alexander Kirillov, Eric Mintun, Nikhila Ravi, Hanzi Mao, Chloé Rolland, Laura Gustafson, Tete Xiao, Spencer Whitehead, Alexander C. Berg, Wan-Yen Lo, Piotr Dollár, Ross B. Girshick |
| 2023 | Segment Every Reference Object in Spatial and Temporal Spaces. Jiannan Wu, Yi Jiang, Bin Yan, Huchuan Lu, Zehuan Yuan, Ping Luo |
| 2023 | Segmentation of Tubular Structures Using Iterative Training with Tailored Samples. Wei Liao |
| 2023 | Segmenting Known Objects and Unseen Unknowns without Prior Knowledge. Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Nassir Navab, Benjamin Busam, Federico Tombari |
| 2023 | SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun |
| 2023 | Self-Calibrated Cross Attention Network for Few-Shot Segmentation. Qianxiong Xu, Wenting Zhao, Guosheng Lin, Cheng Long |
| 2023 | Self-Evolved Dynamic Expansion Model for Task-Free Continual Learning. Fei Ye, Adrian G. Bors |
| 2023 | Self-Feedback DETR for Temporal Action Detection. Jihwan Kim, Miso Lee, Jae-Pil Heo |
| 2023 | Self-Ordering Point Clouds. Pengwan Yang, Cees G. M. Snoek, Yuki M. Asano |
| 2023 | Self-Organizing Pathway Expansion for Non-Exemplar Class-Incremental Learning. Kai Zhu, Kecheng Zheng, Ruili Feng, Deli Zhao, Yang Cao, Zheng-Jun Zha |
| 2023 | Self-Supervised Burst Super-Resolution. Goutam Bhat, Michaël Gharbi, Jiawen Chen, Luc Van Gool, Zhihao Xia |
| 2023 | Self-Supervised Monocular Depth Estimation by Direction-aware Cumulative Convolution Network. Wencheng Han, Junbo Yin, Jianbing Shen |
| 2023 | Self-Supervised Object Detection from Egocentric Videos. Peri Akiva, Jing Huang, Kevin J. Liang, Rama Kovvuri, Xingyu Chen, Matt Feiszli, Kristin J. Dana, Tal Hassner |
| 2023 | Self-regulating Prompts: Foundational Model Adaptation without Forgetting. Muhammad Uzair Khattak, Syed Talal Wasim, Muzammal Naseer, Salman Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan |
| 2023 | Self-similarity Driven Scale-invariant Learning for Weakly Supervised Person Search. Benzhi Wang, Yang Yang, Jinlin Wu, Guo-Jun Qi, Zhen Lei |
| 2023 | Self-supervised Character-to-Character Distillation for Text Recognition. Tongkun Guan, Wei Shen, Xue Yang, Qi Feng, Zekun Jiang, Xiaokang Yang |
| 2023 | Self-supervised Cross-view Representation Reconstruction for Change Captioning. Yunbin Tu, Liang Li, Li Su, Zheng-Jun Zha, Chenggang Yan, Qingming Huang |
| 2023 | Self-supervised Image Denoising with Downsampled Invariance Loss and Conditional Blind-Spot Network. Yeong Il Jang, Keuntek Lee, Gu Yong Park, Seyun Kim, Nam Ik Cho |
| 2023 | Self-supervised Learning of Implicit Shape Representation with Dense Correspondence for Deformable Objects. Baowen Zhang, Jiahe Li, Xiaoming Deng, Yinda Zhang, Cuixia Ma, Hongan Wang |
| 2023 | Self-supervised Learning to Bring Dual Reversed Rolling Shutter Images Alive. Wei Shang, Dongwei Ren, Chaoyu Feng, Xiaotao Wang, Lei Lei, Wangmeng Zuo |
| 2023 | Self-supervised Monocular Depth Estimation: Let's Talk About The Weather. Kieran Saunders, George Vogiatzis, Luis J. Manso |
| 2023 | Self-supervised Monocular Underwater Depth Recovery, Image Restoration, and a Real-sea Video Dataset. Nisha Varghese, Ashish Kumar, A. N. Rajagopalan |
| 2023 | Self-supervised Pre-training for Mirror Detection. Jiaying Lin, Rynson W. H. Lau |
| 2023 | SemARFlow: Injecting Semantics into Unsupervised Optical Flow Estimation for Autonomous Driving. Shuai Yuan, Shuzhi Yu, Hannah Kim, Carlo Tomasi |
| 2023 | Semantic Attention Flow Fields for Monocular Dynamic Scene Decomposition. Yiqing Liang, Eliot Laidlaw, Alexander Meyerowitz, Srinath Sridhar, James Tompkin |
| 2023 | Semantic Information in Contrastive Learning. Shengjiang Quan, Masahiro Hirano, Yuji Yamakawa |
| 2023 | Semantic-Aware Dynamic Parameter for Video Inpainting Transformer. Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim |
| 2023 | Semantic-Aware Implicit Template Learning via Part Deformation Consistency. Sihyeon Kim, Juyeon Ko, Minseok Joo, Juhan Cha, Jaewon Lee, Hyunwoo J. Kim |
| 2023 | Semantically Structured Image Compression via Irregular Group-Based Decoupling. Ruoyu Feng, Yixin Gao, Xin Jin, Runsen Feng, Zhibo Chen |
| 2023 | Semantics Meets Temporal Correspondence: Self-supervised Object-centric Learning in Videos. Rui Qian, Shuangrui Ding, Xian Liu, Dahua Lin |
| 2023 | Semantics-Consistent Feature Search for Self-Supervised Visual Representation Learning. Kaiyou Song, Shan Zhang, Zimeng Luo, Tong Wang, Jin Xie |
| 2023 | Semantify: Simplifying the Control of 3D Morphable Models using CLIP. Omer Gralnik, Guy Gafni, Ariel Shamir |
| 2023 | Semi-Supervised Learning via Weight-aware Distillation under Class Distribution Mismatch. Pan Du, Suyun Zhao, Zisen Sheng, Cuiping Li, Hong Chen |
| 2023 | Semi-Supervised Semantic Segmentation under Label Noise via Diverse Learning Groups. Peixia Li, Pulak Purkait, Thalaiyasingam Ajanthan, Majid Abdolshah, Ravi Garg, Hisham Husain, Chenchen Xu, Stephen Gould, Wanli Ouyang, Anton van den Hengel |
| 2023 | Semi-supervised Semantics-guided Adversarial Training for Robust Trajectory Prediction. Ruochen Jiao, Xiangguo Liu, Takami Sato, Qi Alfred Chen, Qi Zhu |
| 2023 | Semi-supervised Speech-driven 3D Facial Animation via Cross-modal Encoding. Peiji Yang, Huawei Wei, Yicheng Zhong, Zhisheng Wang |
| 2023 | Sempart: Self-supervised Multi-resolution Partitioning of Image Semantics. Sriram Ravindran, Debraj Basu |
| 2023 | Sensitivity-Aware Visual Parameter-Efficient Fine-Tuning. Haoyu He, Jianfei Cai, Jing Zhang, Dacheng Tao, Bohan Zhuang |
| 2023 | Sentence Attention Blocks for Answer Grounding. Seyedalireza Khoshsirat, Chandra Kambhamettu |
| 2023 | Sequential Texts Driven Cohesive Motions Synthesis with Natural Transitions. Shuai Li, Sisi Zhuang, Wenfeng Song, Xinyu Zhang, Hejia Chen, Aimin Hao |
| 2023 | Set-level Guidance Attack: Boosting Adversarial Transferability of Vision-Language Pre-training Models. Dong Lu, Zhiqiang Wang, Teng Wang, Weili Guan, Hongchang Gao, Feng Zheng |
| 2023 | Shape Analysis of Euclidean Curves under Frenet-Serret Framework. Perrine Chassat, Juhyun Park, Nicolas J.-B. Brunel |
| 2023 | Shape Anchor Guided Holistic Indoor Scene Understanding. Mingyue Dong, Linxi Huan, Hanjiang Xiong, Shuhan Shen, Xianwei Zheng |
| 2023 | ShapeScaffolder: Structure-Aware 3D Shape Generation from Text. Xi Tian, Yong-Liang Yang, Qi Wu |
| 2023 | Shatter and Gather: Learning Referring Image Segmentation with Text Supervision. Dongwon Kim, Namyup Kim, Cuiling Lan, Suha Kwak |
| 2023 | Shift from Texture-bias to Shape-bias: Edge Deformation-based Augmentation for Robust Object Recognition. Xilin He, Qinliang Lin, Cheng Luo, Weicheng Xie, Siyang Song, Feng Liu, Linlin Shen |
| 2023 | ShiftNAS: Improving One-shot NAS via Probability Shift. Mingyang Zhang, Xinyi Yu, Haodong Zhao, Linlin Ou |
| 2023 | Shortcut-V2V: Compression Framework for Video-to-Video Translation based on Temporal Redundancy Reduction. Chaeyeon Chung, Yeojeong Park, Seunghwan Choi, Munkhsoyol Ganbat, Jaegul Choo |
| 2023 | Shrinking Class Space for Enhanced Certainty in Semi-Supervised Learning. Lihe Yang, Zhen Zhao, Lei Qi, Yu Qiao, Yinghuan Shi, Hengshuang Zhao |
| 2023 | SiLK: Simple Learned Keypoints. Pierre Gleize, Weiyao Wang, Matt Feiszli |
| 2023 | Sigmoid Loss for Language Image Pre-Training. Xiaohua Zhai, Basil Mustafa, Alexander Kolesnikov, Lucas Beyer |
| 2023 | Sign Language Translation with Iterative Prototype. Huijie Yao, Wengang Zhou, Hao Feng, Hezhen Hu, Hao Zhou, Houqiang Li |
| 2023 | SimFIR: A Simple Framework for Fisheye Image Rectification with Self-supervised Representation Learning. Hao Feng, Wendi Wang, Jiajun Deng, Wengang Zhou, Li Li, Houqiang Li |
| 2023 | SimMatchV2: Semi-Supervised Learning with Graph Consistency. Mingkai Zheng, Shan You, Lang Huang, Chen Luo, Fei Wang, Chen Qian, Chang Xu |
| 2023 | SimNP: Learning Self-Similarity Priors Between Neural Points. Christopher Wewer, Eddy Ilg, Bernt Schiele, Jan Eric Lenssen |
| 2023 | Similarity Min-Max: Zero-Shot Day-Night Domain Adaptation. Rundong Luo, Wenjing Wang, Wenhan Yang, Jiaying Liu |
| 2023 | Simoun: Synergizing Interactive Motion-appearance Understanding for Vision-based Reinforcement Learning. Yangru Huang, Peixi Peng, Yifan Zhao, Yunpeng Zhai, Haoran Xu, Yonghong Tian |
| 2023 | Simple Baselines for Interactive Video Retrieval with Questions and Answers. Kaiqu Liang, Samuel Albanie |
| 2023 | Simple and Effective Out-of-Distribution Detection via Cosine-based Softmax Loss. SoonCheol Noh, DongEon Jeong, Jee-Hyong Lee |
| 2023 | SimpleClick: Interactive Image Segmentation with Simple Vision Transformers. Qin Liu, Zhenlin Xu, Gedas Bertasius, Marc Niethammer |
| 2023 | Simulating Fluids in Real-World Still Images. Siming Fan, Jingtan Piao, Chen Qian, Hongsheng Li, Kwan-Yee Lin |
| 2023 | Single Depth-image 3D Reflection Symmetry and Shape Prediction. Zhaoxuan Zhang, Bo Dong, Tong Li, Felix Heide, Pieter Peers, Baocai Yin, Xin Yang |
| 2023 | Single Image Deblurring with Row-dependent Blur Magnitude. Xiang Ji, Zhixiang Wang, Shin'ichi Satoh, Yinqiang Zheng |
| 2023 | Single Image Defocus Deblurring via Implicit Neural Inverse Kernels. Yuhui Quan, Xin Yao, Hui Ji |
| 2023 | Single Image Reflection Separation via Component Synergy. Qiming Hu, Xiaojie Guo |
| 2023 | Single-Stage Diffusion NeRF: A Unified Approach to 3D Generation and Reconstruction. Hansheng Chen, Jiatao Gu, Anpei Chen, Wei Tian, Zhuowen Tu, Lingjie Liu, Hao Su |
| 2023 | Size Does Matter: Size-aware Virtual Try-on via Clothing-oriented Transformation Try-on Network. Chieh-Yun Chen, Yi-Chung Chen, Hong-Han Shuai, Wen-Huang Cheng |
| 2023 | SkeleTR: Towards Skeleton-based Action Recognition in the Wild. Haodong Duan, Mingze Xu, Bing Shuai, Davide Modolo, Zhuowen Tu, Joseph Tighe, Alessandro Bergamo |
| 2023 | SkeletonMAE: Graph-based Masked Autoencoder for Skeleton Sequence Pre-training. Hong Yan, Yang Liu, Yushen Wei, Zhen Li, Guanbin Li, Liang Lin |
| 2023 | Sketch and Text Guided Diffusion Model for Colored Point Cloud Generation. Zijie Wu, Yaonan Wang, Mingtao Feng, He Xie, Ajmal Mian |
| 2023 | Skill Transformer: A Monolithic Policy for Mobile Manipulation. Xiaoyu Huang, Dhruv Batra, Akshara Rai, Andrew Szot |
| 2023 | Skip-Plan: Procedure Planning in Instructional Videos via Condensed Action Space Learning. Zhiheng Li, Wenjia Geng, Muheng Li, Lei Chen, Yansong Tang, Jiwen Lu, Jie Zhou |
| 2023 | SlaBins: Fisheye Depth Estimation using Slanted Bins on Road Environments. Jongsung Lee, Gyeongsu Cho, Jeongin Park, Kyongjun Kim, Seongoh Lee, Jung-Hee Kim, Seong-Gyun Jeong, Kyungdon Joo |
| 2023 | Small Object Detection via Coarse-to-fine Proposal Generation and Imitation Learning. Xiang Yuan, Gong Cheng, Kebing Yan, Qinghua Zeng, Junwei Han |
| 2023 | Smoothness Similarity Regularization for Few-Shot GAN Adaptation. Vadim Sushko, Ruyu Wang, Juergen Gall |
| 2023 | Snow Removal in Video: A New Dataset and A Novel Method. Haoyu Chen, Jingjing Ren, Jinjin Gu, Hongtao Wu, Xuequan Lu, Haoming Cai, Lei Zhu |
| 2023 | SoDaCam: Software-defined Cameras via Single-Photon Imaging. Varun Sundar, Andrei Ardelean, Tristan Swedish, Claudio Bruschini, Edoardo Charbon, Mohit Gupta |
| 2023 | Social Diffusion: Long-term Multiple Human Motion Anticipation. Julian Tanke, Linguang Zhang, Amy Zhao, Chengcheng Tang, Yujun Cai, Lezi Wang, Po-Chen Wu, Juergen Gall, Cem Keskin |
| 2023 | Sound Localization from Motion: Jointly Learning Sound Direction and Camera Rotation. Ziyang Chen, Shengyi Qian, Andrew Owens |
| 2023 | Sound Source Localization is All about Cross-Modal Alignment. Arda Senocak, Hyeonggon Ryu, Junsik Kim, Tae-Hyun Oh, Hanspeter Pfister, Joon Son Chung |
| 2023 | Source-free Depth for Object Pop-out. Zongwei Wu, Danda Pani Paudel, Deng-Ping Fan, Jingjing Wang, Shuo Wang, Cédric Demonceaux, Radu Timofte, Luc Van Gool |
| 2023 | Source-free Domain Adaptive Human Pose Estimation. Qucheng Peng, Ce Zheng, Chen Chen |
| 2023 | Space Engage: Collaborative Space Supervision for Contrastive-based Semi-Supervised Semantic Segmentation. Changqi Wang, Haoyu Xie, Yuhui Yuan, Chong Fu, Xiangyu Yue |
| 2023 | Space-time Prompting for Video Class-incremental Learning. Yixuan Pei, Zhiwu Qing, Shiwei Zhang, Xiang Wang, Yingya Zhang, Deli Zhao, Xueming Qian |
| 2023 | SpaceEvo: Hardware-Friendly Search Space Design for Efficient INT8 Inference. Xudong Wang, Li Lyna Zhang, Jiahang Xu, Quanlu Zhang, Yujing Wang, Yuqing Yang, Ningxin Zheng, Ting Cao, Mao Yang |
| 2023 | Spacetime Surface Regularization for Neural Dynamic Scene Reconstruction. Jaesung Choe, Christopher B. Choy, Jaesik Park, In So Kweon, Anima Anandkumar |
| 2023 | Sparse Instance Conditioned Multimodal Trajectory Prediction. Yonghao Dong, Le Wang, Sanping Zhou, Gang Hua |
| 2023 | Sparse Point Guided 3D Lane Detection. Chengtang Yao, Lidong Yu, Yuwei Wu, Yunde Jia |
| 2023 | Sparse Sampling Transformer with Uncertainty-Driven Ranking for Unified Removal of Raindrops and Rain Streaks. Sixiang Chen, Tian Ye, Jinbin Bai, Erkang Chen, Jun Shi, Lei Zhu |
| 2023 | SparseBEV: High-Performance Sparse 3D Object Detection from Multi-Camera Videos. Haisong Liu, Yao Teng, Tao Lu, Haiguang Wang, Limin Wang |
| 2023 | SparseDet: Improving Sparsely Annotated Object Detection with Pseudo-positive Mining. Saksham Suri, Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava |
| 2023 | SparseFusion: Fusing Multi-Modal Sparse Representations for Multi-Sensor 3D Object Detection. Yichen Xie, Chenfeng Xu, Marie-Julie Rakotosaona, Patrick Rim, Federico Tombari, Kurt Keutzer, Masayoshi Tomizuka, Wei Zhan |
| 2023 | SparseMAE: Sparse Training Meets Masked Autoencoders. Aojun Zhou, Yang Li, Zipeng Qin, Jianbo Liu, Junting Pan, Renrui Zhang, Rui Zhao, Peng Gao, Hongsheng Li |
| 2023 | SparseNeRF: Distilling Depth Ranking for Few-shot Novel View Synthesis. Guangcong Wang, Zhaoxi Chen, Chen Change Loy, Ziwei Liu |
| 2023 | Spatial Self-Distillation for Object Detection with Inaccurate Bounding Boxes. Di Wu, Pengfei Chen, Xuehui Yu, Guorong Li, Zhenjun Han, Jianbin Jiao |
| 2023 | Spatial-Aware Token for Weakly Supervised Object Localization. Pingyu Wu, Wei Zhai, Yang Cao, Jiebo Luo, Zheng-Jun Zha |
| 2023 | Spatially and Spectrally Consistent Deep Functional Maps. Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang |
| 2023 | Spatially-Adaptive Feature Modulation for Efficient Image Super-Resolution. Long Sun, Jiangxin Dong, Jinhui Tang, Jinshan Pan |
| 2023 | Spatio-Temporal Crop Aggregation for Video Representation Learning. Sepehr Sameni, Simon Jenni, Paolo Favaro |
| 2023 | Spatio-Temporal Domain Awareness for Multi-Agent Collaborative Perception. Kun Yang, Dingkang Yang, Jingyu Zhang, Mingcheng Li, Yang Liu, Jing Liu, Hanqi Wang, Peng Sun, Liang Song |
| 2023 | Spatio-temporal Prompting Network for Robust Video Feature Extraction. Guanxiong Sun, Chi Wang, Zhaoyu Zhang, Jiankang Deng, Stefanos Zafeiriou, Yang Hua |
| 2023 | Spectral Graphormer: Spectral Graph-based Transformer for Egocentric Two-Hand Reconstruction using Multi-View Color Images. Tze Ho Elden Tse, Franziska Mueller, Zhengyang Shen, Danhang Tang, Thabo Beeler, Mingsong Dou, Yinda Zhang, Sasa Petrovic, Hyung Jin Chang, Jonathan Taylor, Bardia Doosti |
| 2023 | Spectrum-guided Multi-granularity Referring Video Object Segmentation. Bo Miao, Mohammed Bennamoun, Yongsheng Gao, Ajmal Mian |
| 2023 | Speech2Lip: High-fidelity Speech to Lip Generation by Learning from a Short Video. Xiuzhe Wu, Pengfei Hu, Yang Wu, Xiaoyang Lyu, Yan-Pei Cao, Ying Shan, Wenming Yang, Zhongqian Sun, Xiaojuan Qi |
| 2023 | Speech4Mesh: Speech-Assisted Monocular 3D Facial Reconstruction for Speech-Driven 3D Facial Animation. Shan He, Haonan He, Shuo Yang, Xiaoyan Wu, Pengcheng Xia, Bing Yin, Cong Liu, Lirong Dai, Chang Xu |
| 2023 | Spherical Space Feature Decomposition for Guided Depth Map Super-Resolution. Zixiang Zhao, Jiangshe Zhang, Xiang Gu, Chengli Tan, Shuang Xu, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2023 | SpinCam: High-Speed Imaging via a Rotating Point-Spread Function. Dorian Chan, Mark Sheinin, Matthew O'Toole |
| 2023 | SportsMOT: A Large Multi-Object Tracking Dataset in Multiple Sports Scenes. Yutao Cui, Chenkai Zeng, Xiaoyu Zhao, Yichun Yang, Gangshan Wu, Limin Wang |
| 2023 | Spurious Features Everywhere - Large-Scale Detection of Harmful Spurious Features in ImageNet. Yannic Neuhaus, Maximilian Augustin, Valentyn Boreiko, Matthias Hein |
| 2023 | Stabilizing Visual Reinforcement Learning via Asymmetric Interactive Cooperation. Yunpeng Zhai, Peixi Peng, Yifan Zhao, Yangru Huang, Yonghong Tian |
| 2023 | Stable Cluster Discrimination for Deep Clustering. Qi Qian |
| 2023 | Stable and Causal Inference for Discriminative Self-supervised Deep Visual Representations. Yuewei Yang, Hai Li, Yiran Chen |
| 2023 | StableVideo: Text-driven Consistency-aware Diffusion Video Editing. Wenhao Chai, Xun Guo, Gaoang Wang, Yan Lu |
| 2023 | StageInteractor: Query-based Object Detector with Cross-stage Interaction. Yao Teng, Haisong Liu, Sheng Guo, Limin Wang |
| 2023 | Steered Diffusion: A Generalized Framework for Plug-and-Play Conditional Image Synthesis. Nithin Gopalakrishnan Nair, Anoop Cherian, Suhas Lohit, Ye Wang, Toshiaki Koike-Akino, Vishal M. Patel, Tim K. Marks |
| 2023 | StegaNeRF: Embedding Invisible Information within Neural Radiance Fields. Chenxin Li, Brandon Y. Feng, Zhiwen Fan, Panwang Pan, Zhangyang Wang |
| 2023 | Stochastic Segmentation with Conditional Categorical Diffusion Models. Lukas Zbinden, Lars Doorenbos, Theodoros Pissas, Adrian Thomas Huber, Raphael Sznitman, Pablo Márquez-Neila |
| 2023 | Story Visualization by Online Text Augmentation with Context Memory. Daechul Ahn, Daneul Kim, Gwangmo Song, Seung Hwan Kim, Honglak Lee, Dongyeop Kang, Jonghyun Choi |
| 2023 | Strata-NeRF : Neural Radiance Fields for Stratified Scenes. Ankit Dhiman, R. Srinath, Harsh Rangwani, Rishubh Parihar, Lokesh R. Boregowda, Srinath Sridhar, R. Venkatesh Babu |
| 2023 | Strip-MLP: Efficient Token Interaction for Vision MLP. Guiping Cao, Shengda Luo, Wenjian Huang, Xiangyuan Lan, Dongmei Jiang, Yaowei Wang, Jianguo Zhang |
| 2023 | Strivec: Sparse Tri-Vector Radiance Fields. Quankai Gao, Qiangeng Xu, Hao Su, Ulrich Neumann, Zexiang Xu |
| 2023 | Structural Alignment for Network Pruning through Partial Regularization. Shangqian Gao, Zeyu Zhang, Yanfu Zhang, Feihu Huang, Heng Huang |
| 2023 | Structure Invariant Transformation for better Adversarial Transferability. Xiaosen Wang, Zeliang Zhang, Jianping Zhang |
| 2023 | Structure and Content-Guided Video Synthesis with Diffusion Models. Patrick Esser, Johnathan Chiu, Parmida Atighehchian, Jonathan Granskog, Anastasis Germanidis |
| 2023 | Structure-Aware Surface Reconstruction via Primitive Assembly. Jingen Jiang, Mingyang Zhao, Shiqing Xin, Yanchao Yang, Hanxiao Wang, Xiaohong Jia, Dong-Ming Yan |
| 2023 | Studying How to Efficiently and Effectively Guide Models with Explanations. Sukrut Rao, Moritz Böhle, Amin Parchami-Araghi, Bernt Schiele |
| 2023 | StyleDiffusion: Controllable Disentangled Style Transfer via Diffusion Models. Zhizhong Wang, Lei Zhao, Wei Xing |
| 2023 | StyleDomain: Efficient and Lightweight Parameterizations of StyleGAN for One-shot and Few-shot Domain Adaptation. Aibek Alanov, Vadim Titov, Maksim Nakhodnov, Dmitry P. Vetrov |
| 2023 | StyleGANEX: StyleGAN-Based Manipulation Beyond Cropped Aligned Faces. Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy |
| 2023 | StyleInV: A Temporal Style Modulated Inversion Network for Unconditional Video Generation. Yuhan Wang, Liming Jiang, Chen Change Loy |
| 2023 | StyleLipSync: Style-based Personalized Lip-sync Video Generation. Taekyung Ki, Dongchan Min |
| 2023 | StylerDALLE: Language-Guided Style Transfer Using a Vector-Quantized Tokenizer of a Large-Scale Generative Model. Zipeng Xu, Enver Sangineto, Nicu Sebe |
| 2023 | SuS-X: Training-Free Name-Only Transfer of Vision-Language Models. Vishaal Udandarao, Ankush Gupta, Samuel Albanie |
| 2023 | Subclass-balancing Contrastive Learning for Long-tailed Recognition. Chengkai Hou, Jieyu Zhang, Haonan Wang, Tianyi Zhou |
| 2023 | SupFusion: Supervised LiDAR-Camera Fusion for 3D Object Detection. Yiran Qin, Chaoqun Wang, Zijian Kang, Ningning Ma, Zhen Li, Ruimao Zhang |
| 2023 | Supervised Homography Learning with Realistic Dataset Generation. Hai Jiang, Haipeng Li, Songchen Han, Haoqiang Fan, Bing Zeng, Shuaicheng Liu |
| 2023 | Surface Extraction from Neural Unsigned Distance Fields. Congyi Zhang, Guying Lin, Lei Yang, Xin Li, Taku Komura, Scott Schaefer, John Keyser, Wenping Wang |
| 2023 | Surface Normal Clustering for Implicit Representation of Manhattan Scenes. Nikola Popovic, Danda Pani Paudel, Luc Van Gool |
| 2023 | SurfsUp: Learning Fluid Simulation for Novel Surfaces. Arjun Mani, Ishaan Preetam Chandratreya, Elliot Creager, Carl Vondrick, Richard S. Zemel |
| 2023 | SurroundOcc: Multi-Camera 3D Occupancy Prediction for Autonomous Driving. Yi Wei, Linqing Zhao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | SwiftFormer: Efficient Additive Attention for Transformer-based Real-time Mobile Vision Applications. Abdelrahman M. Shaker, Muhammad Maaz, Hanoona Abdul Rasheed, Salman H. Khan, Ming-Hsuan Yang, Fahad Shahbaz Khan |
| 2023 | SwinLSTM: Improving Spatiotemporal Prediction Accuracy using Swin Transformer and LSTM. Song Tang, Chuang Li, Pu Zhang, Rongnian Tang |
| 2023 | SynBody: Synthetic Dataset with Layered Human Models for 3D Human Perception and Modeling. Zhitao Yang, Zhongang Cai, Haiyi Mei, Shuai Liu, Zhaoxi Chen, Weiye Xiao, Yukun Wei, Zhongfei Qing, Chen Wei, Bo Dai, Wayne Wu, Chen Qian, Dahua Lin, Ziwei Liu, Lei Yang |
| 2023 | Synchronize Feature Extracting and Matching: A Single Branch Framework for 3D Object Tracking. Teli Ma, Mengmeng Wang, Jimin Xiao, Huifeng Wu, Yong Liu |
| 2023 | Synthesizing Diverse Human Motions in 3D Indoor Scenes. Kaifeng Zhao, Yan Zhang, Shaofei Wang, Thabo Beeler, Siyu Tang |
| 2023 | TALL: Thumbnail Layout for Deepfake Video Detection. Yuting Xu, Jian Liang, Gengyun Jia, Ziming Yang, Yanhao Zhang, Ran He |
| 2023 | TAPIR: Tracking Any Point with per-frame Initialization and temporal Refinement. Carl Doersch, Yi Yang, Mel Vecerík, Dilara Gokay, Ankush Gupta, Yusuf Aytar, João Carreira, Andrew Zisserman |
| 2023 | TARGET: Federated Class-Continual Learning via Exemplar-Free Distillation. Jie Zhang, Chen Chen, Weiming Zhuang, Lingjuan Lyu |
| 2023 | TCOVIS: Temporally Consistent Online Video Instance Segmentation. Junlong Li, Bingyao Yu, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2023 | TEMPO: Efficient Multi-View Pose Estimation, Tracking, and Forecasting. Rohan Choudhury, Kris M. Kitani, László A. Jeni |
| 2023 | TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition. Shilin Lu, Yanzhu Liu, Adams Wai-Kin Kong |
| 2023 | TIFA: Accurate and Interpretable Text-to-Image Faithfulness Evaluation with Question Answering. Yushi Hu, Benlin Liu, Jungo Kasai, Yizhong Wang, Mari Ostendorf, Ranjay Krishna, Noah A. Smith |
| 2023 | TIJO: Trigger Inversion with Joint Optimization for Defending Multimodal Backdoored Models. Indranil Sur, Karan Sikka, Matthew Walmer, Kaushik Koneripalli, Anirban Roy, Xiao Lin, Ajay Divakaran, Susmit Jha |
| 2023 | TM2D: Bimodality Driven 3D Dance Generation via Music-Text Integration. Kehong Gong, Dongze Lian, Heng Chang, Chuan Guo, Zihang Jiang, Xinxin Zuo, Michael Bi Mi, Xinchao Wang |
| 2023 | TMA: Temporal Motion Aggregation for Event-based Optical Flow. Haotian Liu, Guang Chen, Sanqing Qu, Yanping Zhang, Zhijun Li, Alois Knoll, Changjun Jiang |
| 2023 | TMR: Text-to-Motion Retrieval Using Contrastive 3D Human Motion Synthesis. Mathis Petrovich, Michael J. Black, Gül Varol |
| 2023 | TORE: Token Reduction for Efficient Human Mesh Recovery with Transformer. Zhiyang Dou, Qingxuan Wu, Cheng Lin, Zeyu Cao, Qiangqiang Wu, Weilin Wan, Taku Komura, Wenping Wang |
| 2023 | TRM-UAP: Enhancing the Transferability of Data-Free Universal Adversarial Perturbation via Truncated Ratio Maximization. Yiran Liu, Xin Feng, Yunlong Wang, Wu Yang, Di Ming |
| 2023 | Take-A-Photo: 3D-to-2D Generative Pre-training of Point Cloud Models. Ziyi Wang, Xumin Yu, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2023 | Talking Head Generation with Probabilistic Audio-to-Visual Diffusion Priors. Zhentao Yu, Zixin Yin, Deyu Zhou, Duomin Wang, Finn Wong, Baoyuan Wang |
| 2023 | Taming Contrast Maximization for Learning Sequential, Low-latency, Event-based Optical Flow. Federico Paredes-Vallés, Kirk Y. W. Scheper, Christophe De Wagter, Guido C. H. E. de Croon |
| 2023 | Tangent Model Composition for Ensembling and Continual Fine-tuning. Tian Yu Liu, Stefano Soatto |
| 2023 | Tangent Sampson Error: Fast Approximate Two-view Reprojection Error for Central Camera Models. Mikhail Terekhov, Viktor Larsson |
| 2023 | Task Agnostic Restoration of Natural Video Dynamics. Muhammad Kashif Ali, Dongjin Kim, Tae Hyun Kim |
| 2023 | Task-Oriented Multi-Modal Mutual Learning for Vision-Language Models. Sifan Long, Zhen Zhao, Junkun Yuan, Zichang Tan, Jiangjiang Liu, Luping Zhou, Shengsheng Wang, Jingdong Wang |
| 2023 | Task-aware Adaptive Learning for Cross-domain Few-shot Learning. Yurong Guo, Ruoyi Du, Yuan Dong, Timothy M. Hospedales, Yi-Zhe Song, Zhanyu Ma |
| 2023 | TaskExpert: Dynamically Assembling Multi-Task Representations with Memorial Mixture-of-Experts. Hanrong Ye, Dan Xu |
| 2023 | Taxonomy Adaptive Cross-Domain Adaptation in Medical Imaging via Optimization Trajectory Distillation. Jianan Fan, Dongnan Liu, Hang Chang, Heng Huang, Mei Chen, Weidong Cai |
| 2023 | TeD-SPAD: Temporal Distinctiveness for Self-supervised Privacy-preservation for video Anomaly Detection. Joseph Fioresi, Ishan Rajendrakumar Dave, Mubarak Shah |
| 2023 | Teaching CLIP to Count to Ten. Roni Paiss, Ariel Ephrat, Omer Tov, Shiran Zada, Inbar Mosseri, Michal Irani, Tali Dekel |
| 2023 | Tem-adapter: Adapting Image-Text Pretraining for Video Question Answer. Guangyi Chen, Xiao Liu, Guangrun Wang, Kun Zhang, Philip H. S. Torr, Xiao-Ping Zhang, Yansong Tang |
| 2023 | Template Inversion Attack against Face Recognition Systems using 3D Face Reconstruction. Hatef Otroshi-Shahreza, Sébastien Marcel |
| 2023 | Template-guided Hierarchical Feature Restoration for Anomaly Detection. Hewei Guo, Liping Ren, Jingjing Fu, Yuwang Wang, Zhizheng Zhang, Cuiling Lan, Haoqian Wang, Xinwen Hou |
| 2023 | Temporal Collection and Distribution for Referring Video Object Segmentation. Jiajin Tang, Ge Zheng, Sibei Yang |
| 2023 | Temporal Enhanced Training of Multi-view 3D Object Detector via Historical Object Prediction. Zhuofan Zong, Dongzhi Jiang, Guanglu Song, Zeyue Xue, Jingyong Su, Hongsheng Li, Yu Liu |
| 2023 | Temporal-Coded Spiking Neural Networks with Dynamic Firing Threshold: Learning with Event-Driven Backpropagation. Wenjie Wei, Malu Zhang, Hong Qu, Ammar Belatreche, Jian Zhang, Hong Chen |
| 2023 | Test Time Adaptation for Blind Image Quality Assessment. Subhadeep Roy, Shankhanil Mitra, Soma Biswas, Rajiv Soundararajan |
| 2023 | Test-time Personalizable Forecasting of 3D Human Poses. Qiongjie Cui, Huaijiang Sun, Jianfeng Lu, Weiqing Li, Bin Li, Hongwei Yi, Haofan Wang |
| 2023 | Tetra-NeRF: Representing Neural Radiance Fields Using Tetrahedra. Jonas Kulhanek, Torsten Sattler |
| 2023 | TexFusion: Synthesizing 3D Textures with Text-Guided Image Diffusion Models. Tianshi Cao, Karsten Kreis, Sanja Fidler, Nicholas Sharp, Kangxue Yin |
| 2023 | Text-Conditioned Sampling Framework for Text-to-Image Generation with Masked Generative Models. Jaewoong Lee, Sangwon Jang, Jaehyeong Jo, Jaehong Yoon, Yunji Kim, Jin-Hwa Kim, Jung-Woo Ha, Sung Ju Hwang |
| 2023 | Text-Driven Generative Domain Adaptation with Spectral Consistency Regularization. Zhenhuan Liu, Liang Li, Jiayu Xiao, Zheng-Jun Zha, Qingming Huang |
| 2023 | Text2Performer: Text-Driven Human Video Generation. Yuming Jiang, Shuai Yang, Tong Liang Koh, Wayne Wu, Chen Change Loy, Ziwei Liu |
| 2023 | Text2Room: Extracting Textured 3D Meshes from 2D Text-to-Image Models. Lukas Höllein, Ang Cao, Andrew Owens, Justin Johnson, Matthias Nießner |
| 2023 | Text2Tex: Text-driven Texture Synthesis via Diffusion Models. Dave Zhenyu Chen, Yawar Siddiqui, Hsin-Ying Lee, Sergey Tulyakov, Matthias Nießner |
| 2023 | Text2Video-Zero: Text-to-Image Diffusion Models are Zero-Shot Video Generators. Levon Khachatryan, Andranik Movsisyan, Vahram Tadevosyan, Roberto Henschel, Zhangyang Wang, Shant Navasardyan, Humphrey Shi |
| 2023 | TextManiA: Enriching Visual Feature by Text-driven Manifold Augmentation. Moon Ye-Bin, Jisoo Kim, Hongyeob Kim, Kilho Son, Tae-Hyun Oh |
| 2023 | TextPSG: Panoptic Scene Graph Generation from Textual Descriptions. Chengyang Zhao, Yikang Shen, Zhenfang Chen, Mingyu Ding, Chuang Gan |
| 2023 | Texture Generation on 3D Meshes with Point-UV Diffusion. Xin Yu, Peng Dai, Wenbo Li, Lan Ma, Zhengzhe Liu, Xiaojuan Qi |
| 2023 | Texture Learning Domain Randomization for Domain Generalized Segmentation. Sunghwan Kim, Dae-Hwan Kim, Hoseong Kim |
| 2023 | The Devil is in the Crack Orientation: A New Perspective for Crack Detection. Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Guanming Zhu, Zun Liu, Jie Chen, Jianqiang Li |
| 2023 | The Devil is in the Upsampling: Architectural Decisions Made Simpler for Denoising with Deep Image Prior. Yilin Liu, Jiang Li, Yunkui Pang, Dong Nie, Pew-Thian Yap |
| 2023 | The Euclidean Space is Evil: Hyperbolic Attribute Editing for Few-shot Image Generation. Lingxiao Li, Yi Zhang, Shuhui Wang |
| 2023 | The Making and Breaking of Camouflage. Hala Lamdouar, Weidi Xie, Andrew Zisserman |
| 2023 | The Perils of Learning From Unlabeled Data: Backdoor Attacks on Semi-supervised Learning. Virat Shejwalkar, Lingjuan Lyu, Amir Houmansadr |
| 2023 | The Power of Sound (TPoS): Audio Reactive Video Generation with Stable Diffusion. Yujin Jeong, Wonjeong Ryoo, Seunghyun Lee, Dabin Seo, Wonmin Byeon, Sangpil Kim, Jinkyu Kim |
| 2023 | The Stable Signature: Rooting Watermarks in Latent Diffusion Models. Pierre Fernandez, Guillaume Couairon, Hervé Jégou, Matthijs Douze, Teddy Furon |
| 2023 | The Unreasonable Effectiveness of Large Language-Vision Models for Source-free Video Domain Adaptation. Giacomo Zara, Alessandro Conti, Subhankar Roy, Stéphane Lathuilière, Paolo Rota, Elisa Ricci |
| 2023 | The Victim and The Beneficiary: Exploiting a Poisoned Model to Train a Clean Model on Poisoned Data. Zixuan Zhu, Rui Wang, Cong Zou, Lihua Jing |
| 2023 | The effectiveness of MAE pre-pretraining for billion-scale pretraining. Mannat Singh, Quentin Duval, Kalyan Vasudev Alwala, Haoqi Fan, Vaibhav Aggarwal, Aaron Adcock, Armand Joulin, Piotr Dollár, Christoph Feichtenhofer, Ross B. Girshick, Rohit Girdhar, Ishan Misra |
| 2023 | Theoretical and Numerical Analysis of 3D Reconstruction Using Point and Line Incidences. Felix Rydell, Elima Shehu, Angélica Torres |
| 2023 | Thinking Image Color Aesthetics Assessment: Models, Datasets and Benchmarks. Shuai He, Anlong Ming, Yaqi Li, Jinyuan Sun, Shuntian Zheng, Huadong Ma |
| 2023 | TiDAL: Learning Training Dynamics for Active Learning. Seong Min Kye, Kwanghee Choi, Hyeongmin Byun, Buru Chang |
| 2023 | TiDy-PSFs: Computational Imaging with Time-Averaged Dynamic Point-Spread-Functions. Sachin Shah, Sakshum Kulshrestha, Christopher A. Metzler |
| 2023 | Tiled Multiplane Images for Practical 3D Photography. Numair Khan, Lei Xiao, Douglas Lanman |
| 2023 | Time Does Tell: Self-Supervised Time-Tuning of Dense Image Representations. Mohammadreza Salehi, Efstratios Gavves, Cees G. M. Snoek, Yuki M. Asano |
| 2023 | Time-to-Contact Map by Joint Estimation of Up-to-Scale Inverse Depth and Global Motion using a Single Event Camera. Urbano Miguel Nunes, Laurent Udo Perrinet, Sio-Hoi Ieng |
| 2023 | Tiny Updater: Towards Efficient Neural Network-Driven Software Updating. Linfeng Zhang, Kaisheng Ma |
| 2023 | TinyCLIP: CLIP Distillation via Affinity Mimicking and Weight Inheritance. Kan Wu, Houwen Peng, Zhenghong Zhou, Bin Xiao, Mengchen Liu, Lu Yuan, Hong Xuan, Michael Valenzuela, Xi Stephen Chen, Xinggang Wang, Hongyang Chao, Han Hu |
| 2023 | To Adapt or Not to Adapt? Real-Time Adaptation for Semantic Segmentation. Marc Botet Colomer, Pier Luigi Dovesi, Theodoros Panagiotakopoulos, Joao Frederico Carvalho, Linus Härenstam-Nielsen, Hossein Azizpour, Hedvig Kjellström, Daniel Cremers, Matteo Poggi |
| 2023 | Token-Label Alignment for Vision Transformers. Han Xiao, Wenzhao Zheng, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2023 | Too Large; Data Reduction for Vision-Language Pre-Training. Alex Jinpeng Wang, Kevin Qinghong Lin, David Junhao Zhang, Stan Weixian Lei, Mike Zheng Shou |
| 2023 | ToonTalker: Cross-Domain Face Reenactment. Yuan Gong, Yong Zhang, Xiaodong Cun, Fei Yin, Yanbo Fan, Xuan Wang, Baoyuan Wu, Yujiu Yang |
| 2023 | TopoSeg: Topology-Aware Nuclear Instance Segmentation. Hongliang He, Jun Wang, Pengxu Wei, Fan Xu, Xiangyang Ji, Chang Liu, Jie Chen |
| 2023 | Total-Recon: Deformable Scene Reconstruction for Embodied View Synthesis. Chonghyuk Song, Gengshan Yang, Kangle Deng, Jun-Yan Zhu, Deva Ramanan |
| 2023 | Toward Multi-Granularity Decision-Making: Explicit Visual Reasoning with Hierarchical Knowledge. Yifeng Zhang, Shi Chen, Qi Zhao |
| 2023 | Toward Unsupervised Realistic Visual Question Answering. Yuwei Zhang, Chih-Hui Ho, Nuno Vasconcelos |
| 2023 | Towards Attack-tolerant Federated Learning via Critical Parameter Analysis. Sungwon Han, Sungwon Park, Fangzhao Wu, Sundong Kim, Bin Zhu, Xing Xie, Meeyoung Cha |
| 2023 | Towards Authentic Face Restoration with Iterative Diffusion Models and Beyond. Yang Zhao, Tingbo Hou, Yu-Chuan Su, Xuhui Jia, Yandong Li, Matthias Grundmann |
| 2023 | Towards Better Robustness against Common Corruptions for Unsupervised Domain Adaptation. Zhiqiang Gao, Kaizhu Huang, Rui Zhang, Dawei Liu, Jieming Ma |
| 2023 | Towards Building More Robust Models with Frequency Bias. Qingwen Bu, Dong Huang, Heming Cui |
| 2023 | Towards Content-based Pixel Retrieval in Revisited Oxford and Paris. Guoyuan An, Woo Jae Kim, Saelyne Yang, Rong Li, Yuchi Huo, Sung-Eui Yoon |
| 2023 | Towards Deeply Unified Depth-aware Panoptic Segmentation with Bi-directional Guidance Learning. Junwen He, Yifan Wang, Lijun Wang, Huchuan Lu, Bin Luo, Jun-Yan He, Jin-Peng Lan, Yifeng Geng, Xuansong Xie |
| 2023 | Towards Effective Instance Discrimination Contrastive Loss for Unsupervised Domain Adaptation. Yixin Zhang, Zilei Wang, Junjie Li, Jiafan Zhuang, Zihan Lin |
| 2023 | Towards Fair and Comprehensive Comparisons for Image-Based 3D Object Detection. Xinzhu Ma, Yongtao Wang, Yinmin Zhang, Zhiyi Xia, Yuan Meng, Zhihui Wang, Haojie Li, Wanli Ouyang |
| 2023 | Towards Fairness-aware Adversarial Network Pruning. Lei Zhang, Zhibo Wang, Xiaowei Dong, Yunhe Feng, Xiaoyi Pang, Zhifei Zhang, Kui Ren |
| 2023 | Towards General Low-Light Raw Noise Synthesis and Modeling. Feng Zhang, Bin Xu, Zhiqiang Li, Xinran Liu, Qingbo Lu, Changxin Gao, Nong Sang |
| 2023 | Towards Generic Image Manipulation Detection with Weakly-Supervised Self-Consistency Learning. Yuanhao Zhai, Tianyu Luan, David S. Doermann, Junsong Yuan |
| 2023 | Towards Geospatial Foundation Models via Continual Pretraining. Matías Mendieta, Boran Han, Xingjian Shi, Yi Zhu, Chen Chen |
| 2023 | Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification. Bin Yang, Jun Chen, Mang Ye |
| 2023 | Towards High-Fidelity Text-Guided 3D Face Generation and Manipulation Using only Images. Cuican Yu, Guansong Lu, Yihan Zeng, Jian Sun, Xiaodan Liang, Huibin Li, Zongben Xu, Songcen Xu, Wei Zhang, Hang Xu |
| 2023 | Towards High-Quality Specular Highlight Removal by Leveraging Large-Scale Synthetic Data. Gang Fu, Qing Zhang, Lei Zhu, Chunxia Xiao, Ping Li |
| 2023 | Towards Improved Input Masking for Convolutional Neural Networks. Sriram Balasubramanian, Soheil Feizi |
| 2023 | Towards Inadequately Pre-trained Models in Transfer Learning. Andong Deng, Xingjian Li, Di Hu, Tianyang Wang, Haoyi Xiong, Cheng-Zhong Xu |
| 2023 | Towards Instance-adaptive Inference for Federated Learning. Chun-Mei Feng, Kai Yu, Nian Liu, Xinxing Xu, Salman Khan, Wangmeng Zuo |
| 2023 | Towards Memory- and Time-Efficient Backpropagation for Training Spiking Neural Networks. Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo |
| 2023 | Towards Models that Can See and Read. Roy Ganz, Oren Nuriel, Aviad Aberdam, Yair Kittenplon, Shai Mazor, Ron Litman |
| 2023 | Towards Multi-Layered 3D Garments Animation. Yidi Shao, Chen Change Loy, Bo Dai |
| 2023 | Towards Nonlinear-Motion-Aware and Occlusion-Robust Rolling Shutter Correction. Delin Qu, Yizhen Lao, Zhigang Wang, Dong Wang, Bin Zhao, Xuelong Li |
| 2023 | Towards Open-Set Test-Time Adaptation Utilizing the Wisdom of Crowds in Entropy Minimization. Jungsoo Lee, Debasmit Das, Jaegul Choo, Sungha Choi |
| 2023 | Towards Open-Vocabulary Video Instance Segmentation. Haochen Wang, Xiaolong Jiang, Xu Tang, Yao Hu, Cilin Yan, Weidi Xie, Shuai Wang, Efstratios Gavves |
| 2023 | Towards Real-World Burst Image Super-Resolution: Benchmark and Method. Pengxu Wei, Yujing Sun, Xingbei Guo, Chang Liu, Guanbin Li, Jie Chen, Xiangyang Ji, Liang Lin |
| 2023 | Towards Realistic Evaluation of Industrial Continual Learning Scenarios with an Emphasis on Energy Consumption and Computational Footprint. Vivek Chavan, Paul Koch, Marian Schlüter, Clemens Briese |
| 2023 | Towards Robust Model Watermark via Reducing Parametric Vulnerability. Guanhao Gan, Yiming Li, Dongxian Wu, Shu-Tao Xia |
| 2023 | Towards Robust and Smooth 3D Multi-Person Pose Estimation from Monocular Videos in the Wild. Sungchan Park, Eunyi You, Inhoe Lee, Joonseok Lee |
| 2023 | Towards Saner Deep Image Registration. Bin Duan, Ming Zhong, Yan Yan |
| 2023 | Towards Semi-supervised Learning with Non-random Missing Labels. Yue Duan, Zhen Zhao, Lei Qi, Luping Zhou, Lei Wang, Yinghuan Shi |
| 2023 | Towards Understanding the Generalization of Deepfake Detectors from a Game-Theoretical View. Kelu Yao, Jin Wang, Boyu Diao, Chao Li |
| 2023 | Towards Unifying Medical Vision-and-Language Pre-training via Soft Prompts. Zhihong Chen, Shizhe Diao, Benyou Wang, Guanbin Li, Xiang Wan |
| 2023 | Towards Universal Image Embeddings: A Large-Scale Dataset and Challenge for Generic Image Representations. Nikolaos-Antonios Ypsilantis, Kaifeng Chen, Bingyi Cao, Mário Lipovský, Pelin Dogan-Schönberger, Grzegorz Makosa, Boris Bluntschli, Mojtaba Seyedhosseini, Ondrej Chum, André Araújo |
| 2023 | Towards Universal LiDAR-Based 3D Object Detection by Multi-Domain Knowledge Transfer. Guile Wu, Tongtong Cao, Bingbing Liu, Xingxin Chen, Yuan Ren |
| 2023 | Towards Unsupervised Domain Generalization for Face Anti-Spoofing. Yuchen Liu, Yabo Chen, Mengran Gou, Chun-Ting Huang, Yaoming Wang, Wenrui Dai, Hongkai Xiong |
| 2023 | Towards Viewpoint Robustness in Bird's Eye View Segmentation. Tzofi Klinghoffer, Jonah Philion, Wenzheng Chen, Or Litany, Zan Gojcic, Jungseock Joo, Ramesh Raskar, Sanja Fidler, José M. Álvarez |
| 2023 | Towards Viewpoint-Invariant Visual Recognition via Adversarial Training. Shouwei Ruan, Yinpeng Dong, Hang Su, Jianteng Peng, Ning Chen, Xingxing Wei |
| 2023 | Towards Zero Domain Gap: A Comprehensive Study of Realistic LiDAR Simulation for Autonomy Testing. Sivabalan Manivasagam, Ioan Andrei Bârsan, Jingkang Wang, Ze Yang, Raquel Urtasun |
| 2023 | Towards Zero-Shot Scale-Aware Monocular Depth Estimation. Vitor Guizilini, Igor Vasiljevic, Dian Chen, Rares Ambrus, Adrien Gaidon |
| 2023 | Tracing the Origin of Adversarial Attack for Forensic Investigation and Deterrence. Han Fang, Jiyi Zhang, Yupeng Qiu, Jiayang Liu, Ke Xu, Chengfang Fang, Ee-Chien Chang |
| 2023 | TrackFlow: Multi-Object Tracking with Normalizing Flows. Gianluca Mancusi, Aniello Panariello, Angelo Porrello, Matteo Fabbri, Simone Calderara, Rita Cucchiara |
| 2023 | Tracking Anything with Decoupled Video Segmentation. Ho Kei Cheng, Seoung Wug Oh, Brian L. Price, Alexander G. Schwing, Joon-Young Lee |
| 2023 | Tracking Everything Everywhere All at Once. Qianqian Wang, Yen-Yu Chang, Ruojin Cai, Zhengqi Li, Bharath Hariharan, Aleksander Holynski, Noah Snavely |
| 2023 | Tracking by 3D Model Estimation of Unknown Objects in Videos. Denys Rozumnyi, Jirí Matas, Marc Pollefeys, Vittorio Ferrari, Martin R. Oswald |
| 2023 | Tracking by Natural Language Specification with Long Short-term Context Decoupling. Ding Ma, Xiangqian Wu |
| 2023 | Tracking without Label: Unsupervised Multiple Object Tracking via Contrastive Similarity Learning. Sha Meng, Dian Shao, Jiacheng Guo, Shan Gao |
| 2023 | Traj-MAE: Masked Autoencoders for Trajectory Prediction. Hao Chen, Jiaze Wang, Kun Shao, Furui Liu, Jianye Hao, Chenyong Guan, Guangyong Chen, Pheng-Ann Heng |
| 2023 | TrajPAC: Towards Robustness Verification of Pedestrian Trajectory Prediction Models. Liang Zhang, Nathaniel Xu, Pengfei Yang, Gaojie Jin, Cheng-Chao Huang, Lijun Zhang |
| 2023 | Trajectory Unified Transformer for Pedestrian Trajectory Prediction. Liushuai Shi, Le Wang, Sanping Zhou, Gang Hua |
| 2023 | TrajectoryFormer: 3D Object Tracking Transformer with Predictive Trajectory Hypotheses. Xuesong Chen, Shaoshuai Shi, Chao Zhang, Benjin Zhu, Qiang Wang, Ka Chun Cheung, Simon See, Hongsheng Li |
| 2023 | TransFace: Calibrating Transformer Training for Face Recognition from a Data-Centric Perspective. Jun Dan, Yang Liu, Haoyu Xie, Jiankang Deng, Haoran Xie, Xuansong Xie, Baigui Sun |
| 2023 | TransHuman: A Transformer-based Human Representation for Generalizable Neural Human Rendering. Xiao Pan, Zongxin Yang, Jianxin Ma, Chang Zhou, Yi Yang |
| 2023 | TransIFF: An Instance-Level Feature Fusion Framework for Vehicle-Infrastructure Cooperative 3D Detection with Transformers. Ziming Chen, Yifeng Shi, Jinrang Jia |
| 2023 | TransTIC: Transferring Transformer-based Image Compression from Human Perception to Machine Perception. Yi-Hsin Chen, Ying-Chieh Weng, Chia-Hao Kao, Cheng Chien, Wei-Chen Chiu, Wen-Hsiao Peng |
| 2023 | Transferable Adversarial Attack for Both Vision Transformers and Convolutional Networks via Momentum Integrated Gradients. Wenshuo Ma, Yidong Li, Xiaofeng Jia, Wei Xu |
| 2023 | Transferable Decoding with Visual Entities for Zero-Shot Image Captioning. Junjie Fei, Teng Wang, Jinrui Zhang, Zhenyu He, Chengjie Wang, Feng Zheng |
| 2023 | Translating Images to Road Network: A Non-Autoregressive Sequence-to-Sequence Approach. Jiachen Lu, Hongyang Li, Renyuan Peng, Feng Wen, Xinyue Cai, Wei Zhang, Hang Xu, Li Zhang |
| 2023 | Transparent Shape from a Single View Polarization Image. Mingqi Shao, Chongkun Xia, Zhendong Yang, Junnan Huang, Xueqian Wang |
| 2023 | Treating Pseudo-labels Generation as Image Matting for Weakly Supervised Semantic Segmentation. Changwei Wang, Rongtao Xu, Shibiao Xu, Weiliang Meng, Xiaopeng Zhang |
| 2023 | Tree-Structured Shading Decomposition. Chen Geng, Hong-Xing Yu, Sharon Zhang, Maneesh Agrawala, Jiajun Wu |
| 2023 | Tri-MipRF: Tri-Mip Representation for Efficient Anti-Aliasing Neural Radiance Fields. Wenbo Hu, Yuling Wang, Lin Ma, Bangbang Yang, Lin Gao, Xiao Liu, Yuewen Ma |
| 2023 | TripLe: Revisiting Pretrained Model Reuse and Progressive Learning for Efficient Vision Transformer Scaling and Searching. Cheng Fu, Hanxian Huang, Zixuan Jiang, Yun Ni, Lifeng Nai, Gang Wu, Liqun Cheng, Yanqi Zhou, Sheng Li, Andrew Li, Jishen Zhao |
| 2023 | Troubleshooting Ethnic Quality Bias with Curriculum Domain Adaptation for Face Image Quality Assessment. Fu-Zhao Ou, Baoliang Chen, Chongyi Li, Shiqi Wang, Sam Kwong |
| 2023 | Tube-Link: A Flexible Cross Tube Framework for Universal Video Segmentation. Xiangtai Li, Haobo Yuan, Wenwei Zhang, Guangliang Cheng, Jiangmiao Pang, Chen Change Loy |
| 2023 | Tubelet-Contrastive Self-Supervision for Video-Efficient Generalization. Fida Mohammad Thoker, Hazel Doughty, Cees G. M. Snoek |
| 2023 | Tune-A-Video: One-Shot Tuning of Image Diffusion Models for Text-to-Video Generation. Jay Zhangjie Wu, Yixiao Ge, Xintao Wang, Stan Weixian Lei, Yuchao Gu, Yufei Shi, Wynne Hsu, Ying Shan, Xiaohu Qie, Mike Zheng Shou |
| 2023 | Tuning Pre-trained Model via Moment Probing. Mingze Gao, Qilong Wang, Zhenyi Lin, Pengfei Zhu, Qinghua Hu, Jingbo Zhou |
| 2023 | Two Birds, One Stone: A Unified Framework for Joint Learning of Image and Video Style Transfers. Bohai Gu, Heng Fan, Libo Zhang |
| 2023 | Two-in-One Depth: Bridging the Gap Between Monocular and Binocular Self-supervised Depth Estimation. Zhengming Zhou, Qiulei Dong |
| 2023 | U-RED: Unsupervised 3D Shape Retrieval and Deformation for Partial Point Clouds. Yan Di, Chenyangguang Zhang, Ruida Zhang, Fabian Manhardt, Yongzhi Su, Jason R. Rambach, Didier Stricker, Xiangyang Ji, Federico Tombari |
| 2023 | UATVR: Uncertainty-Adaptive Text-Video Retrieval. Bo Fang, Wenhao Wu, Chang Liu, Yu Zhou, Yuxin Song, Weiping Wang, Xiangbo Shu, Xiangyang Ji, Jingdong Wang |
| 2023 | UCF: Uncovering Common Features for Generalizable Deepfake Detection. Zhiyuan Yan, Yong Zhang, Yanbo Fan, Baoyuan Wu |
| 2023 | UGC: Unified GAN Compression for Efficient Image-to-Image Translation. Yuxi Ren, Jie Wu, Peng Zhang, Manlin Zhang, Xuefeng Xiao, Qian He, Rui Wang, Min Zheng, Xin Pan |
| 2023 | UHDNeRF: Ultra-High-Definition Neural Radiance Fields. Quewei Li, Feichao Li, Jie Guo, Yanwen Guo |
| 2023 | UMC: A Unified Bandwidth-efficient and Multi-resolution based Collaborative Perception Framework. Tianhang Wang, Guang Chen, Kai Chen, Zhengfa Liu, Bo Zhang, Alois Knoll, Changjun Jiang |
| 2023 | UMFuse: Unified Multi View Fusion for Human Editing applications. Rishabh Jain, Mayur Hemani, Duygu Ceylan, Krishna Kumar Singh, Jingwan Lu, Mausoom Sarkar, Balaji Krishnamurthy |
| 2023 | UMIFormer: Mining the Correlations between Similar Tokens for Multi-View 3D Reconstruction. Zhenwei Zhu, Liying Yang, Ning Li, Chaohao Jiang, Yanyan Liang |
| 2023 | USAGE: A Unified Seed Area Generation Paradigm for Weakly Supervised Semantic Segmentation. Zelin Peng, Guanchun Wang, Lingxi Xie, Dongsheng Jiang, Wei Shen, Qi Tian |
| 2023 | UnLoc: A Unified Framework for Video Localization Tasks. Shen Yan, Xuehan Xiong, Arsha Nagrani, Anurag Arnab, Zhonghao Wang, Weina Ge, David Ross, Cordelia Schmid |
| 2023 | Unaligned 2D to 3D Translation with Conditional Vector-Quantized Code Diffusion using Transformers. Abril Corona-Figueroa, Sam Bond-Taylor, Neelanjan Bhowmik, Yona Falinie A. Gaus, Toby P. Breckon, Hubert P. H. Shum, Chris G. Willcocks |
| 2023 | Uncertainty Guided Adaptive Warping for Robust and Efficient Stereo Matching. Junpeng Jing, Jiankun Li, Pengfei Xiong, Jiangyu Liu, Shuaicheng Liu, Yichen Guo, Xin Deng, Mai Xu, Lai Jiang, Leonid Sigal |
| 2023 | Uncertainty-aware State Space Transformer for Egocentric 3D Hand Trajectory Forecasting. Wentao Bao, Lele Chen, Libing Zeng, Zhong Li, Yi Xu, Junsong Yuan, Yu Kong |
| 2023 | Uncertainty-aware Unsupervised Multi-Object Tracking. Kai Liu, Sheng Jin, Zhihang Fu, Ze Chen, Rongxin Jiang, Jieping Ye |
| 2023 | Uncertainty-guided Learning for Improving Image Manipulation Detection. Kaixiang Ji, Feng Chen, Xin Guo, Yadong Xu, Jian Wang, Jingdong Chen |
| 2023 | Under-Display Camera Image Restoration with Scattering Effect. Binbin Song, Xiangyu Chen, Shuning Xu, Jiantao Zhou |
| 2023 | Understanding 3D Object Interaction from a Single Image. Shengyi Qian, David F. Fouhey |
| 2023 | Understanding Hessian Alignment for Domain Generalization. Sobhan Hemati, Guojun Zhang, Amir Hossein Estiri, Xi Chen |
| 2023 | Understanding Self-attention Mechanism via Dynamical System Perspective. Zhongzhan Huang, Mingfu Liang, Jinghui Qin, Shanshan Zhong, Liang Lin |
| 2023 | Understanding the Feature Norm for Out-of-Distribution Detection. Jaewoo Park, Jacky Chen Long Chai, Jaeho Yoon, Andrew Beng Jin Teoh |
| 2023 | Unfolding Framework with Prior of Convolution-Transformer Mixture and Uncertainty Estimation for Video Snapshot Compressive Imaging. Siming Zheng, Xin Yuan |
| 2023 | Uni-3D: A Universal Model for Panoptic 3D Scene Reconstruction. Xiang Zhang, Zeyuan Chen, Fangyin Wei, Zhuowen Tu |
| 2023 | UniDexGrasp++: Improving Dexterous Grasping Policy Learning via Geometry-aware Curriculum and Iterative Generalist-Specialist Learning. Weikang Wan, Haoran Geng, Yun Liu, Zikang Shan, Yaodong Yang, Li Yi, He Wang |
| 2023 | UniFace: Unified Cross-Entropy Loss for Deep Face Recognition. Jiancan Zhou, Xi Jia, Qiufu Li, Linlin Shen, Jinming Duan |
| 2023 | UniFormerV2: Unlocking the Potential of Image ViTs for Video Understanding. Kunchang Li, Yali Wang, Yinan He, Yizhuo Li, Yi Wang, Limin Wang, Yu Qiao |
| 2023 | UniFusion: Unified Multi-view Fusion Transformer for Spatial-Temporal Representation in Bird's-Eye-View. Zequn Qin, Jingyu Chen, Chao Chen, Xiaozhi Chen, Xi Li |
| 2023 | UniKD: Universal Knowledge Distillation for Mimicking Homogeneous or Heterogeneous Object Detectors. Shanshan Lao, Guanglu Song, Boxiao Liu, Yu Liu, Yujiu Yang |
| 2023 | UniSeg: A Unified Multi-Modal LiDAR Segmentation Network and the OpenPCSeg Codebase. Youquan Liu, Runnan Chen, Xin Li, Lingdong Kong, Yuchen Yang, Zhaoyang Xia, Yeqi Bai, Xinge Zhu, Yuexin Ma, Yikang Li, Yu Qiao, Yuenan Hou |
| 2023 | UniT3D: A Unified Transformer for 3D Dense Captioning and Visual Grounding. Dave Zhenyu Chen, Ronghang Hu, Xinlei Chen, Matthias Nießner, Angel X. Chang |
| 2023 | UniTR: A Unified and Efficient Multi-Modal Transformer for Bird's-Eye-View Representation. Haiyang Wang, Hao Tang, Shaoshuai Shi, Aoxue Li, Zhenguo Li, Bernt Schiele, Liwei Wang |
| 2023 | UniVTG: Towards Unified Video-Language Temporal Grounding. Kevin Qinghong Lin, Pengchuan Zhang, Joya Chen, Shraman Pramanick, Difei Gao, Alex Jinpeng Wang, Rui Yan, Mike Zheng Shou |
| 2023 | Unified Adversarial Patch for Cross-modal Attacks in the Physical World. Xingxing Wei, Yao Huang, Yitong Sun, Jie Yu |
| 2023 | Unified Coarse-to-Fine Alignment for Video-Text Retrieval. Ziyang Wang, Yi-Lin Sung, Feng Cheng, Gedas Bertasius, Mohit Bansal |
| 2023 | Unified Data-Free Compression: Pruning and Quantization without Fine-Tuning. Shipeng Bai, Jun Chen, Xintian Shen, Yixuan Qian, Yong Liu |
| 2023 | Unified Out-Of-Distribution Detection: A Model-Specific Perspective. Reza Averly, Wei-Lun Chao |
| 2023 | Unified Pre-training with Pseudo Texts for Text-To-Image Person Re-identification. Zhiyin Shao, Xinyu Zhang, Changxing Ding, Jian Wang, Jingdong Wang |
| 2023 | Unified Visual Relationship Detection with Vision and Language Models. Long Zhao, Liangzhe Yuan, Boqing Gong, Yin Cui, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu |
| 2023 | Unify, Align and Refine: Multi-Level Semantic Alignment for Radiology Report Generation. Yaowei Li, Bang Yang, Xuxin Cheng, Zhihong Zhu, Hongxiang Li, Yuexian Zou |
| 2023 | Unilaterally Aggregated Contrastive Learning with Hierarchical Augmentation for Anomaly Detection. Guodong Wang, Yunhong Wang, Jie Qin, Dongming Zhang, Xiuguo Bao, Di Huang |
| 2023 | UnitedHuman: Harnessing Multi-Source Data for High-Resolution Human Generation. Jianglin Fu, Shikai Li, Yuming Jiang, Kwan-Yee Lin, Wayne Wu, Ziwei Liu |
| 2023 | UniverSeg: Universal Medical Image Segmentation. Victor Ion Butoi, Jose Javier Gonzalez Ortiz, Tianyu Ma, Mert R. Sabuncu, John V. Guttag, Adrian V. Dalca |
| 2023 | Universal Domain Adaptation via Compressive Attention Matching. Didi Zhu, Yinchuan Li, Junkun Yuan, Zexi Li, Kun Kuang, Chao Wu |
| 2023 | Unleashing Text-to-Image Diffusion Models for Visual Perception. Wenliang Zhao, Yongming Rao, Zuyan Liu, Benlin Liu, Jie Zhou, Jiwen Lu |
| 2023 | Unleashing Vanilla Vision Transformer with Masked Image Modeling for Object Detection. Yuxin Fang, Shusheng Yang, Shijie Wang, Yixiao Ge, Ying Shan, Xinggang Wang |
| 2023 | Unleashing the Potential of Spiking Neural Networks with Dynamic Confidence. Chen Li, Edward G. Jones, Steve B. Furber |
| 2023 | Unleashing the Power of Gradient Signal-to-Noise Ratio for Zero-Shot NAS. Zihao Sun, Yu Sun, Longxing Yang, Shun Lu, Jilin Mei, Wenxiao Zhao, Yu Hu |
| 2023 | Unmasked Teacher: Towards Training-Efficient Video Foundation Models. Kunchang Li, Yali Wang, Yizhuo Li, Yi Wang, Yinan He, Limin Wang, Yu Qiao |
| 2023 | Unmasking Anomalies in Road-Scene Segmentation. Shyam Nandan Rai, Fabio Cermelli, Dario Fontanel, Carlo Masone, Barbara Caputo |
| 2023 | Unpaired Multi-domain Attribute Translation of 3D Facial Shapes with a Square and Symmetric Geometric Map. Zhenfeng Fan, Zhiheng Zhang, Shuang Yang, Chongyang Zhong, Min Cao, Shihong Xia |
| 2023 | Unsupervised 3D Perception with 2D Vision-Language Distillation for Autonomous Driving. Mahyar Najibi, Jingwei Ji, Yin Zhou, Charles R. Qi, Xinchen Yan, Scott Ettinger, Dragomir Anguelov |
| 2023 | Unsupervised Accuracy Estimation of Deep Visual Models using Domain-Adaptive Adversarial Perturbation without Source Samples. Joonho Lee, Jae Oh Woo, Hankyu Moon, Kwonho Lee |
| 2023 | Unsupervised Compositional Concepts Discovery with Text-to-Image Generative Models. Nan Liu, Yilun Du, Shuang Li, Joshua B. Tenenbaum, Antonio Torralba |
| 2023 | Unsupervised Domain Adaptation for Training Event-Based Networks Using Contrastive Learning and Uncorrelated Conditioning. Dayuan Jian, Mohammad Rostami |
| 2023 | Unsupervised Domain Adaptive Detection with Network Stability Analysis. Wenzhang Zhou, Heng Fan, Tiejian Luo, Libo Zhang |
| 2023 | Unsupervised Facial Performance Editing via Vector-Quantized StyleGAN Representations. Berkay Kicanaoglu, Pablo Garrido, Gaurav Bharaj |
| 2023 | Unsupervised Feature Representation Learning for Domain-generalized Cross-domain Image Retrieval. Conghui Hu, Can Zhang, Gim Hee Lee |
| 2023 | Unsupervised Image Denoising in Real-World Scenarios via Self-Collaboration Parallel Generative Adversarial Branches. Xin Lin, Chao Ren, Xiao Liu, Jie Huang, Yinjie Lei |
| 2023 | Unsupervised Learning of Object-Centric Embeddings for Cell Instance Segmentation in Microscopy Images. Steffen Wolf, Manan Lalit, Katie McDole, Jan Funke |
| 2023 | Unsupervised Manifold Linearizing and Clustering. Tianjiao Ding, Shengbang Tong, Kwan Ho Ryan Chan, Xili Dai, Yi Ma, Benjamin D. Haeffele |
| 2023 | Unsupervised Object Localization with Representer Point Selection. Yeonghwan Song, Seokwoo Jang, Dina Katabi, Jeany Son |
| 2023 | Unsupervised Open-Vocabulary Object Localization in Videos. Ke Fan, Zechen Bai, Tianjun Xiao, Dominik Zietlow, Max Horn, Zixu Zhao, Carl-Johann Simon-Gabriel, Mike Zheng Shou, Francesco Locatello, Bernt Schiele, Thomas Brox, Zheng Zhang, Yanwei Fu, Tong He |
| 2023 | Unsupervised Prompt Tuning for Text-Driven Object Detection. Weizhen He, Weijie Chen, Binbin Chen, Shicai Yang, Di Xie, Luojun Lin, Donglian Qi, Yueting Zhuang |
| 2023 | Unsupervised Self-Driving Attention Prediction via Uncertainty Mining and Knowledge Embedding. Pengfei Zhu, Mengshi Qi, Xia Li, Weijian Li, Huadong Ma |
| 2023 | Unsupervised Surface Anomaly Detection with Diffusion Probabilistic Model. Xinyi Zhang, Naiqi Li, Jiawei Li, Tao Dai, Yong Jiang, Shu-Tao Xia |
| 2023 | Unsupervised Video Deraining with An Event Camera. Jin Wang, Wenming Weng, Yueyi Zhang, Zhiwei Xiong |
| 2023 | Unsupervised Video Object Segmentation with Online Adversarial Self-Tuning. Tiankang Su, Huihui Song, Dong Liu, Bo Liu, Qingshan Liu |
| 2023 | UpCycling: Semi-supervised 3D Object Detection without Sharing Raw-level Unlabeled Scenes. Sunwook Hwang, Youngseok Kim, Seongwon Kim, Saewoong Bahk, Hyung-Sin Kim |
| 2023 | Urban Radiance Field Representation with Deformable Neural Mesh Primitives. Fan Lu, Yan Xu, Guang Chen, Hongsheng Li, Kwan-Yee Lin, Changjun Jiang |
| 2023 | UrbanGIRAFFE: Representing Urban Scenes as Compositional Generative Neural Feature Fields. Yuanbo Yang, Yifei Yang, Hanlei Guo, Rong Xiong, Yue Wang, Yiyi Liao |
| 2023 | Using a Waffle Iron for Automotive Point Cloud Semantic Segmentation. Gilles Puy, Alexandre Boulch, Renaud Marlet |
| 2023 | V-FUSE: Volumetric Depth Map Fusion with Long-Range Constraints. Nathaniel Burgdorfer, Philippos Mordohai |
| 2023 | V3Det: Vast Vocabulary Visual Detection Dataset. Jiaqi Wang, Pan Zhang, Tao Chu, Yuhang Cao, Yujie Zhou, Tong Wu, Bin Wang, Conghui He, Dahua Lin |
| 2023 | VAD: Vectorized Scene Representation for Efficient Autonomous Driving. Bo Jiang, Shaoyu Chen, Qing Xu, Bencheng Liao, Jiajie Chen, Helong Zhou, Qian Zhang, Wenyu Liu, Chang Huang, Xinggang Wang |
| 2023 | VADER: Video Alignment Differencing and Retrieval. Alexander Black, Simon Jenni, Tu Bui, Md. Mehrab Tanjim, Stefano Petrangeli, Ritwik Sinha, Viswanathan Swaminathan, John P. Collomosse |
| 2023 | VAPCNet: Viewpoint-Aware 3D Point Cloud Completion. Zhiheng Fu, Longguang Wang, Lian Xu, Zhiyong Wang, Hamid Laga, Yulan Guo, Farid Boussaïd, Mohammed Bennamoun |
| 2023 | VI-Net: Boosting Category-level 6D Object Pose Estimation via Learning Decoupled Rotations on the Spherical Representations. Jiehong Lin, Zewei Wei, Yabin Zhang, Kui Jia |
| 2023 | VL-Match: Enhancing Vision-Language Pretraining with Token-Level and Instance-Level Matching. Junyu Bi, Daixuan Cheng, Ping Yao, Bochen Pang, Yuefeng Zhan, Chuanguang Yang, Yujing Wang, Hao Sun, Weiwei Deng, Qi Zhang |
| 2023 | VL-PET: Vision-and-Language Parameter-Efficient Tuning via Granularity Control. Zi-Yuan Hu, Yanyang Li, Michael R. Lyu, Liwei Wang |
| 2023 | VLN-PETL: Parameter-Efficient Transfer Learning for Vision-and-Language Navigation. Yanyuan Qiao, Zheng Yu, Qi Wu |
| 2023 | VLSlice: Interactive Vision-and-Language Slice Discovery. Eric Slyman, Minsuk Kahng, Stefan Lee |
| 2023 | VQ3D: Learning a 3D-Aware Generative Model on ImageNet. Kyle Sargent, Jing Yu Koh, Han Zhang, Huiwen Chang, Charles Herrmann, Pratul P. Srinivasan, Jiajun Wu, Deqing Sun |
| 2023 | VQA Therapy: Exploring Answer Differences by Visually Grounding Answers. Chongyan Chen, Samreen Anjum, Danna Gurari |
| 2023 | VQA-GNN: Reasoning with Multimodal Knowledge via Graph Neural Networks for Visual Question Answering. Yanan Wang, Michihiro Yasunaga, Hongyu Ren, Shinya Wada, Jure Leskovec |
| 2023 | Vanishing Point Estimation in Uncalibrated Images with Prior Gravity Direction. Rémi Pautrat, Shaohui Liu, Petr Hruby, Marc Pollefeys, Daniel Barath |
| 2023 | Variational Causal Inference Network for Explanatory Visual Question Answering. Dizhan Xue, Shengsheng Qian, Changsheng Xu |
| 2023 | Variational Degeneration to Structural Refinement: A Unified Framework for Superimposed Image Decomposition. Wenyu Li, Yan Xu, Yang Yang, Haoran Ji, Yue Lang |
| 2023 | VeRi3D: Generative Vertex-based Radiance Fields for 3D Controllable Human Image Synthesis. Xinya Chen, Jiaxin Huang, Yanrui Bin, Lu Yu, Yiyi Liao |
| 2023 | Verbs in Action: Improving verb understanding in video-language models. Liliane Momeni, Mathilde Caron, Arsha Nagrani, Andrew Zisserman, Cordelia Schmid |
| 2023 | Versatile Diffusion: Text, Images and Variations All in One Diffusion Model. Xingqian Xu, Zhangyang Wang, Eric J. Zhang, Kai Wang, Humphrey Shi |
| 2023 | VertexSerum: Poisoning Graph Neural Networks for Link Inference. Ruyi Ding, Shijin Duan, Xiaolin Xu, Yunsi Fei |
| 2023 | ViLLA: Fine-Grained Vision-Language Representation Learning from Real-World Data. Maya Varma, Jean-Benoit Delbrouck, Sarah M. Hooper, Akshay Chaudhari, Curtis P. Langlotz |
| 2023 | ViLTA: Enhancing Vision-Language Pre-training through Textual Augmentation. Weihan Wang, Zhen Yang, Bin Xu, Juanzi Li, Yankui Sun |
| 2023 | ViM: Vision Middleware for Unified Downstream Transferring. Yutong Feng, Biao Gong, Jianwen Jiang, Yiliang Lv, Yujun Shen, Deli Zhao, Jingren Zhou |
| 2023 | VidStyleODE: Disentangled Video Editing via StyleGAN and NeuralODEs. Moayed Haji Ali, Andrew Bond, Levent Karacan, Tolga Birdal, Erkut Erdem, Duygu Ceylan, Aykut Erdem |
| 2023 | Video Action Recognition with Attentive Semantic Units. Yifei Chen, Dapeng Chen, Ruijin Liu, Hao Li, Wei Peng |
| 2023 | Video Action Segmentation via Contextually Refined Temporal Keypoints. Borui Jiang, Yang Jin, Zhentao Tan, Yadong Mu |
| 2023 | Video Adverse-Weather-Component Suppression Network via Weather Messenger and Adversarial Backpropagation. Yijun Yang, Angelica I. Avilés-Rivero, Huazhu Fu, Ye Liu, Weiming Wang, Lei Zhu |
| 2023 | Video Anomaly Detection via Sequentially Learning Multiple Pretext Tasks. Chenrui Shi, Che Sun, Yuwei Wu, Yunde Jia |
| 2023 | Video Background Music Generation: Dataset, Method and Evaluation. Le Zhuo, Zhaokai Wang, Baisen Wang, Yue Liao, Chenxi Bao, Stanley Peng, Songhao Han, Aixi Zhang, Fei Fang, Si Liu |
| 2023 | Video OWL-ViT: Temporally-consistent open-world localization in video. Georg Heigold, Daniel Keysers, Matthias Minderer, Mario Lucic, Alexey A. Gritsenko, Fisher Yu, Alex Bewley, Thomas Kipf |
| 2023 | Video Object Segmentation-aware Video Frame Interpolation. Jun-Sang Yoo, Hongjae Lee, Seung-Won Jung |
| 2023 | Video State-Changing Object Segmentation. Jiangwei Yu, Xiang Li, Xinran Zhao, Hongming Zhang, Yu-Xiong Wang |
| 2023 | Video Task Decathlon: Unifying Image and Video Tasks in Autonomous Driving. Thomas E. Huang, Yifan Liu, Luc Van Gool, Fisher Yu |
| 2023 | Video-FocalNets: Spatio-Temporal Focal Modulation for Video Action Recognition. Syed Talal Wasim, Muhammad Uzair Khattak, Muzammal Naseer, Salman Khan, Mubarak Shah, Fahad Shahbaz Khan |
| 2023 | VideoFlow: Exploiting Temporal Cues for Multi-frame Optical Flow Estimation. Xiaoyu Shi, Zhaoyang Huang, Weikang Bian, Dasong Li, Manyuan Zhang, Ka Chun Cheung, Simon See, Hongwei Qin, Jifeng Dai, Hongsheng Li |
| 2023 | View Consistent Purification for Accurate Cross-View Localization. Shan Wang, Yanhao Zhang, Akhil Perincherry, Ankit Vora, Hongdong Li |
| 2023 | ViewRefer: Grasp the Multi-view Knowledge for 3D Visual Grounding. Zoey Guo, Yiwen Tang, Ray Zhang, Dong Wang, Zhigang Wang, Bin Zhao, Xuelong Li |
| 2023 | Viewing Graph Solvability in Practice. Federica Arrigoni, Tomás Pajdla, Andrea Fusiello |
| 2023 | Viewset Diffusion: (0-)Image-Conditioned 3D Generative Models from 2D Data. Stanislaw Szymanowicz, Christian Rupprecht, Andrea Vedaldi |
| 2023 | ViperGPT: Visual Inference via Python Execution for Reasoning. Dídac Surís, Sachit Menon, Carl Vondrick |
| 2023 | Virtual Try-On with Pose-Garment Keypoints Guided Inpainting. Zhi Li, Pengfei Wei, Xiang Yin, Zejun Ma, Alex C. Kot |
| 2023 | Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference. Xingye Fang, Yang Yang, Ying Fu |
| 2023 | Vision Grid Transformer for Document Layout Analysis. Cheng Da, Chuwei Luo, Qi Zheng, Cong Yao |
| 2023 | Vision HGNN: An Image is More than a Graph of Nodes. Yan Han, Peihao Wang, Souvik Kundu, Ying Ding, Zhangyang Wang |
| 2023 | Vision Relation Transformer for Unbiased Scene Graph Generation. Gopika Sudhakaran, Devendra Singh Dhami, Kristian Kersting, Stefan Roth |
| 2023 | Vision Transformer Adapters for Generalizable Multitask Learning. Deblina Bhattacharjee, Sabine Süsstrunk, Mathieu Salzmann |
| 2023 | Visual Explanations via Iterated Integrated Attributions. Oren Barkan, Yehonatan Elisha, Yuval Asher, Amit Eshel, Noam Koenigstein |
| 2023 | Visual Traffic Knowledge Graph Generation from Scene Images. Yunfei Guo, Fei Yin, Xiao-Hui Li, Xudong Yan, Tao Xue, Shuqi Mei, Cheng-Lin Liu |
| 2023 | Visually-Prompted Language Model for Fine-Grained Scene Graph Generation in an Open World. Qifan Yu, Juncheng Li, Yu Wu, Siliang Tang, Wei Ji, Yueting Zhuang |
| 2023 | VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams. Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun |
| 2023 | Vox-E: Text-guided Voxel Editing of 3D Objects. Etai Sella, Gal Fiebelman, Peter Hedman, Hadar Averbuch-Elor |
| 2023 | WALDO: Future Video Synthesis using Object Layer Decomposition and Parametric Flow Prediction. Guillaume Le Moing, Jean Ponce, Cordelia Schmid |
| 2023 | WDiscOOD: Out-of-Distribution Detection via Whitened Linear Discriminant Analysis. Yiye Chen, Yunzhi Lin, Ruinian Xu, Patricio A. Vela |
| 2023 | Waffling around for Performance: Visual Classification with Random Words and Broad Concepts. Karsten Roth, Jae-Myung Kim, A. Sophia Koepke, Oriol Vinyals, Cordelia Schmid, Zeynep Akata |
| 2023 | Walking Your LiDOG: A Journey Through Multiple Domains for LiDAR Semantic Segmentation. Cristiano Saltori, Aljosa Osep, Elisa Ricci, Laura Leal-Taixé |
| 2023 | Wasserstein Expansible Variational Autoencoder for Discriminative and Generative Continual Learning. Fei Ye, Adrian G. Bors |
| 2023 | WaterMask: Instance Segmentation for Underwater Imagery. Shijie Lian, Hua Li, Runmin Cong, Suqi Li, Wei Zhang, Sam Kwong |
| 2023 | WaveIPT: Joint Attention and Flow Alignment in the Wavelet domain for Pose Transfer. Liyuan Ma, Tingwei Gao, Haitian Jiang, Haibin Shen, Kejie Huang |
| 2023 | WaveNeRF: Wavelet-based Generalizable Neural Radiance Fields. Muyu Xu, Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Xiaoqin Zhang, Christian Theobalt, Ling Shao, Shijian Lu |
| 2023 | Weakly Supervised Learning of Semantic Correspondence through Cascaded Online Correspondence Refinement. Yiwen Huang, Yixuan Sun, Chenghang Lai, Qing Xu, Xiaomei Wang, Xuli Shen, Weifeng Ge |
| 2023 | Weakly Supervised Referring Image Segmentation with Intra-Chunk and Inter-Chunk Consistency. Jungbeom Lee, Sungjin Lee, Jinseok Nam, Seunghak Yu, Jaeyoung Do, Tara Taghavi |
| 2023 | Weakly-Supervised Action Localization by Hierarchically-structured Latent Attention Modeling. Guiqin Wang, Peng Zhao, Cong Zhao, Shusen Yang, Jie Cheng, Luziwei Leng, Jianxing Liao, Qinghai Guo |
| 2023 | Weakly-Supervised Action Segmentation and Unseen Error Detection in Anomalous Instructional Videos. Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Behzad Dariush |
| 2023 | Weakly-Supervised Text-driven Contrastive Learning for Facial Behavior Understanding. Xiang Zhang, Taoyue Wang, Xiaotian Li, Huiyuan Yang, Lijun Yin |
| 2023 | Weakly-supervised 3D Pose Transfer with Keypoints. Jinnan Chen, Chen Li, Gim Hee Lee |
| 2023 | What Can Simple Arithmetic Operations Do for Temporal Modeling? Wenhao Wu, Yuxin Song, Zhun Sun, Jingdong Wang, Chang Xu, Wanli Ouyang |
| 2023 | What can Discriminator do? Towards Box-free Ownership Verification of Generative Adversarial Networks. Ziheng Huang, Boheng Li, Yan Cai, Run Wang, Shangwei Guo, Liming Fang, Jing Chen, Lina Wang |
| 2023 | What can a cook in Italy teach a mechanic in India? Action Recognition Generalisation Over Scenarios and Locations. Chiara Plizzari, Toby Perrett, Barbara Caputo, Dima Damen |
| 2023 | What do neural networks learn in image classification? A frequency shortcut perspective. Shunxin Wang, Raymond N. J. Veldhuis, Christoph Brune, Nicola Strisciuglio |
| 2023 | What does CLIP know about a red circle? Visual prompt engineering for VLMs. Aleksandar Shtedritski, Christian Rupprecht, Andrea Vedaldi |
| 2023 | What does a platypus look like? Generating customized prompts for zero-shot image classification. Sarah M. Pratt, Ian Covert, Rosanne Liu, Ali Farhadi |
| 2023 | When Do Curricula Work in Federated Learning? Saeed Vahidian, Sreevatsank Kadaveru, Woonjoon Baek, Weijia Wang, Vyacheslav Kungurtsev, Chen Chen, Mubarak Shah, Bill Lin |
| 2023 | When Epipolar Constraint Meets Non-local Operators in Multi-View Stereo. Tianqi Liu, Xinyi Ye, Weiyue Zhao, Zhiyu Pan, Min Shi, Zhiguo Cao |
| 2023 | When Noisy Labels Meet Long Tail Dilemmas: A Representation Calibration Method. Manyi Zhang, Xuyang Zhao, Jun Yao, Chun Yuan, Weiran Huang |
| 2023 | When Prompt-based Incremental Learning Does Not Meet Strong Pretraining. Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng |
| 2023 | When to Learn What: Model-Adaptive Data Augmentation Curriculum. Chengkai Hou, Jieyu Zhang, Tianyi Zhou |
| 2023 | Who are you referring to? Coreference resolution in image narrations. Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen |
| 2023 | Why Is Prompt Tuning for Vision-Language Models Robust to Noisy Labels? Cheng-En Wu, Yu Tian, Haichao Yu, Heng Wang, Pedro Morgado, Yu Hen Hu, Linjie Yang |
| 2023 | Why do networks have inhibitory/negative connections? Qingyang Wang, Michael A. Powell, Ali Geisa, Eric Bridgeford, Carey E. Priebe, Joshua T. Vogelstein |
| 2023 | Will Large-scale Generative Models Corrupt Future Datasets? Ryuichiro Hataya, Han Bao, Hiromi Arai |
| 2023 | Window-Based Early-Exit Cascades for Uncertainty Estimation: When Deep Ensembles are More Efficient than Single Models. Guoxuan Xia, Christos-Savvas Bouganis |
| 2023 | With a Little Help from your own Past: Prototypical Memory Networks for Image Captioning. Manuele Barraco, Sara Sarto, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara |
| 2023 | Workie-Talkie: Accelerating Federated Learning by Overlapping Computing and Communications via Contrastive Regularization. Rui Chen, Qiyu Wan, Pavana Prakash, Lan Zhang, Xu Yuan, Yanmin Gong, Xin Fu, Miao Pan |
| 2023 | X-Mesh: Towards Fast and Accurate Text-driven 3D Stylization via Dynamic Textual Guidance. Yiwei Ma, Haowei Wang, Xiaoqing Zhang, Guannan Jiang, Xiaoshuai Sun, Weilin Zhuang, Jiayi Ji, Rongrong Ji |
| 2023 | X-VoE: Measuring eXplanatory Violation of Expectation in Physical Events. Bo Dai, Linge Wang, Baoxiong Jia, Zeyu Zhang, Song-Chun Zhu, Chi Zhang, Yixin Zhu |
| 2023 | XMem++: Production-level Video Segmentation From Few Annotated Frames. Maksym Bekuzarov, Ariana Bermudez, Joon-Young Lee, Hao Li |
| 2023 | XNet: Wavelet-Based Low and High Frequency Fusion Networks for Fully- and Semi-Supervised Semantic Segmentation of Biomedical Images. Yanfeng Zhou, Jiaxing Huang, Chenlong Wang, Le Song, Ge Yang |
| 2023 | XVO: Generalized Visual Odometry via Cross-Modal Self-Training. Lei Lai, Zhongkai Shangguan, Jimuyang Zhang, Eshed Ohn-Bar |
| 2023 | XiNet: Efficient Neural Networks for tinyML. Alberto Ancilotto, Francesco Paissan, Elisabetta Farella |
| 2023 | Yes, we CANN: Constrained Approximate Nearest Neighbors for local feature-based visual localization. Dror Aiger, André Araújo, Simon Lynen |
| 2023 | You Never Get a Second Chance To Make a Good First Impression: Seeding Active Learning for 3D Semantic Segmentation. Nermin Samet, Oriane Siméoni, Gilles Puy, Georgy Ponimatkin, Renaud Marlet, Vincent Lepetit |
| 2023 | Your Diffusion Model is Secretly a Zero-Shot Classifier. Alexander C. Li, Mihir Prabhudesai, Shivam Duggal, Ellis Brown, Deepak Pathak |
| 2023 | Zenseact Open Dataset: A large-scale and diverse multimodal dataset for autonomous driving. Mina Alibeigi, William Ljungbergh, Adam Tonderski, Georg Hess, Adam Lilja, Carl Lindström, Daria Motorniuk, Junsheng Fu, Jenny Widahl, Christoffer Petersson |
| 2023 | Zero-1-to-3: Zero-shot One Image to 3D Object. Ruoshi Liu, Rundi Wu, Basile Van Hoorick, Pavel Tokmakov, Sergey Zakharov, Carl Vondrick |
| 2023 | Zero-Shot Composed Image Retrieval with Textual Inversion. Alberto Baldrati, Lorenzo Agnolucci, Marco Bertini, Alberto Del Bimbo |
| 2023 | Zero-Shot Contrastive Loss for Text-Guided Diffusion Image Style Transfer. Serin Yang, Hyunmin Hwang, Jong Chul Ye |
| 2023 | Zero-Shot Point Cloud Segmentation by Semantic-Visual Aware Synthesis. Yuwei Yang, Munawar Hayat, Zhao Jin, Hongyuan Zhu, Yinjie Lei |
| 2023 | Zero-guidance Segmentation Using Zero Segment Labels. Pitchaporn Rewatbowornwong, Nattanat Chatthee, Ekapol Chuangsuwanich, Supasorn Suwajanakorn |
| 2023 | Zero-shot spatial layout conditioning for text-to-image diffusion models. Guillaume Couairon, Marlène Careil, Matthieu Cord, Stéphane Lathuilière, Jakob Verbeek |
| 2023 | Zip-NeRF: Anti-Aliased Grid-Based Neural Radiance Fields. Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman |
| 2023 | Zolly: Zoom Focal Length Correctly for Perspective-Distorted Human Mesh Reconstruction. Wenjia Wang, Yongtao Ge, Haiyi Mei, Zhongang Cai, Qingping Sun, Yanjun Wang, Chunhua Shen, Lei Yang, Taku Komura |
| 2023 | eP-ALM: Efficient Perceptual Augmentation of Language Models. Mustafa Shukor, Corentin Dancette, Matthieu Cord |
| 2023 | iDAG: Invariant DAG Searching for Domain Generalization. Zenan Huang, Haobo Wang, Junbo Zhao, Nenggan Zheng |
| 2023 | iVS-Net: Learning Human View Synthesis from Internet Videos. Junting Dong, Qi Fang, Tianshuo Yang, Qing Shuai, Chengyu Qiao, Sida Peng |
| 2023 | zPROBE: Zero Peek Robustness Checks for Federated Learning. Zahra Ghodsi, Mojan Javaheripi, Nojan Sheybani, Xinqiao Zhang, Ke Huang, Farinaz Koushanfar |
| 2023 | ΣIGMA: Scale-Invariant Global Sparse Shape Matching. Maolin Gao, Paul Roetzer, Marvin Eisenberger, Zorah Lähner, Michael Möller, Daniel Cremers, Florian Bernard |
| 2023 | μSplit: image decomposition for fluorescence microscopy. Ashesh, Alexander Krull, Moises Di Sante, Francesco Silvio Pasqualini, Florian Jug |
| 2023 | σ-Adaptive Decoupled Prototype for Few-Shot Object Detection. Jinhao Du, Shan Zhang, Qiang Chen, Haifeng Le, Yanpeng Sun, Yao Ni, Jian Wang, Bin He, Jingdong Wang |