| 2022 | $\phi$-SfT: Shape-from-Template with a Physics-Based Deformation Model. Navami Kairanda, Edith Tretschk, Mohamed A. Elgharib, Christian Theobalt, Vladislav Golyanik |
| 2022 | 'The Pedestrian next to the Lamppost" Adaptive Object Graphs for Better Instantaneous Mapping. Avishkar Saha, Oscar Mendez, Chris Russell, Richard Bowden |
| 2022 | 360-Attack: Distortion-Aware Perturbations from Perspective-Views. Yunjian Zhang, Yanwei Liu, Jinxia Liu, Jingbo Miao, Antonios Argyriou, Liming Wang, Zhen Xu |
| 2022 | 360MonoDepth: High-Resolution 360° Monocular Depth Estimation. Manuel Rey-Area, Mingze Yuan, Christian Richardt |
| 2022 | 3D Common Corruptions and Data Augmentation. Oguzhan Fatih Kar, Teresa Yeo, Andrei Atanov, Amir Zamir |
| 2022 | 3D Moments from Near-Duplicate Photos. Qianqian Wang, Zhengqi Li, David Salesin, Noah Snavely, Brian Curless, Janne Kontkanen |
| 2022 | 3D Photo Stylization: Learning to Generate Stylized Novel Views from a Single Image. Fangzhou Mu, Jian Wang, Yicheng Wu, Yin Li |
| 2022 | 3D Scene Painting via Semantic Image Synthesis. Jaebong Jeong, Janghun Jo, Sunghyun Cho, Jaesik Park |
| 2022 | 3D Shape Reconstruction from 2D Images with Disentangled Attribute Flow. Xin Wen, Junsheng Zhou, Yu-Shen Liu, Hua Su, Zhen Dong, Zhizhong Han |
| 2022 | 3D Shape Variational Autoencoder Latent Disentanglement via Mini-Batch Feature Swapping for Bodies and Faces. Simone Foti, Bongjin Koo, Danail Stoyanov, Matthew J. Clarkson |
| 2022 | 3D human tongue reconstruction from single "in-the-wild" images. Stylianos Ploumpis, Stylianos Moschoglou, Vasileios Triantafyllou, Stefanos Zafeiriou |
| 2022 | 3D-SPS: Single-Stage 3D Visual Grounding via Referred Point Progressive Selection. Junyu Luo, Jiahui Fu, Xianghao Kong, Chen Gao, Haibing Ren, Hao Shen, Huaxia Xia, Si Liu |
| 2022 | 3D-VField: Adversarial Augmentation of Point Clouds for Domain Generalization in 3D Object Detection. Alexander Lehner, Stefano Gasperini, Alvaro Marcos-Ramiro, Michael Schmidt, Mohammad-Ali Nikouei Mahani, Nassir Navab, Benjamin Busam, Federico Tombari |
| 2022 | 3D-aware Image Synthesis via Learning Structural and Textural Representations. Yinghao Xu, Sida Peng, Ceyuan Yang, Yujun Shen, Bolei Zhou |
| 2022 | 3DAC: Learning Attribute Compression for Point Clouds. Guangchi Fang, Qingyong Hu, Hanyun Wang, Yiling Xu, Yulan Guo |
| 2022 | 3DJCG: A Unified Framework for Joint Dense Captioning and Visual Grounding on 3D Point Clouds. Daigang Cai, Lichen Zhao, Jing Zhang, Lu Sheng, Dong Xu |
| 2022 | 3DeformRS: Certifying Spatial Deformations on Point Clouds. Gabriel Pérez S., Juan C. Pérez, Motasem Alfarra, Silvio Giancola, Bernard Ghanem |
| 2022 | 3MASSIV: Multilingual, Multimodal and Multi-Aspect dataset of Social Media Short Videos. Vikram Gupta, Trisha Mittal, Puneet Mathur, Vaibhav Mishra, Mayank Maheshwari, Aniket Bera, Debdoot Mukherjee, Dinesh Manocha |
| 2022 | 3PSDF: Three-Pole Signed Distance Function for Learning Surfaces with Arbitrary Topologies. Weikai Chen, Cheng Lin, Weiyang Li, Bo Yang |
| 2022 | A Brand New Dance Partner: Music-Conditioned Pluralistic Dancing Controlled by Multiple Dance Genres. Jinwoo Kim, Heeseok Oh, Seongjean Kim, Hoseok Tong, Sanghoon Lee |
| 2022 | A Closer Look at Few-shot Image Generation. Yunqing Zhao, Henghui Ding, Houjing Huang, Ngai-Man Cheung |
| 2022 | A Comprehensive Study of Image Classification Model Sensitivity to Foregrounds, Backgrounds, and Visual Attributes. Mazda Moayeri, Phillip Pope, Yogesh Balaji, Soheil Feizi |
| 2022 | A Conservative Approach for Unbiased Learning on Unknown Biases. Myeongho Jeon, Daekyung Kim, Woochul Lee, Myungjoo Kang, Joonseok Lee |
| 2022 | A ConvNet for the 2020s. Zhuang Liu, Hanzi Mao, Chao-Yuan Wu, Christoph Feichtenhofer, Trevor Darrell, Saining Xie |
| 2022 | A Deeper Dive Into What Deep Spatiotemporal Networks Encode: Quantifying Static vs. Dynamic Information. Matthew Kowal, Mennatullah Siam, Md. Amirul Islam, Neil D. B. Bruce, Richard P. Wildes, Konstantinos G. Derpanis |
| 2022 | A Differentiable Two-stage Alignment Scheme for Burst Image Reconstruction with Large Shift. Shi Guo, Xi Yang, Jianqi Ma, Gaofeng Ren, Lei Zhang |
| 2022 | A Dual Weighting Label Assignment Scheme for Object Detection. Shuai Li, Chenhang He, Ruihuang Li, Lei Zhang |
| 2022 | A Framework for Learning Ante-hoc Explainable Models via Concepts. Anirban Sarkar, Deepak Vijaykeerthy, Anindya Sarkar, Vineeth N. Balasubramanian |
| 2022 | A Hybrid Egocentric Activity Anticipation Framework via Memory-Augmented Recurrent and One-shot Representation Forecasting. Tianshan Liu, Kin-Man Lam |
| 2022 | A Hybrid Quantum-Classical Algorithm for Robust Fitting. Anh-Dzung Doan, Michele Sasdelli, David Suter, Tat-Jun Chin |
| 2022 | A Keypoint-based Global Association Network for Lane Detection. Jinsheng Wang, Yinchao Ma, Shaofei Huang, Tianrui Hui, Fei Wang, Chen Qian, Tianzhu Zhang |
| 2022 | A Large-scale Comprehensive Dataset and Copy-overlap Aware Evaluation Protocol for Segment-level Video Copy Detection. Sifeng He, Xudong Yang, Chen Jiang, Gang Liang, Wei Zhang, Tan Pan, Qing Wang, Furong Xu, Chunguang Li, Jingxiong Liu, Hui Xu, Kaiming Huang, Yuan Cheng, Feng Qian, Xiaobo Zhang, Lei Yang |
| 2022 | A Low-cost & Realtime Motion Capture System. Anargyros Chatzitofis, Georgios Albanis, Nikolaos Zioulis, Spyridon Thermos |
| 2022 | A Probabilistic Graphical Model Based on Neural-symbolic Reasoning for Visual Relationship Detection. Dongran Yu, Bo Yang, Qianhao Wei, Anchen Li, Shirui Pan |
| 2022 | A Proposal-based Paradigm for Self-supervised Sound Source Localization in Videos. Hanyu Xuan, Zhiliang Wu, Jian Yang, Yan Yan, Xavier Alameda-Pineda |
| 2022 | A Re-Balancing Strategy for Class-Imbalanced Classification Based on Instance Difficulty. Sihao Yu, Jiafeng Guo, Ruqing Zhang, Yixing Fan, Zizhen Wang, Xueqi Cheng |
| 2022 | A Scalable Combinatorial Solver for Elastic Geometrically Consistent 3D Shape Matching. Paul Roetzer, Paul Swoboda, Daniel Cremers, Florian Bernard |
| 2022 | A Self-Supervised Descriptor for Image Copy Detection. Ed Pizzi, Sreya Dutta Roy, Sugosh Nagavara Ravindra, Priya Goyal, Matthijs Douze |
| 2022 | A Simple Data Mixing Prior for Improving Self-Supervised Learning. Sucheng Ren, Huiyu Wang, Zhengqi Gao, Shengfeng He, Alan L. Yuille, Yuyin Zhou, Cihang Xie |
| 2022 | A Simple Episodic Linear Probe Improves Visual Recognition in the Wild. Yuanzhi Liang, Linchao Zhu, Xiaohan Wang, Yi Yang |
| 2022 | A Simple Multi-Modality Transfer Learning Baseline for Sign Language Translation. Yutong Chen, Fangyun Wei, Xiao Sun, Zhirong Wu, Stephen Lin |
| 2022 | A Stitch in Time Saves Nine: A Train-Time Regularizing Loss for Improved Neural Network Calibration. Ramya Hebbalaguppe, Jatin Prakash, Neelabh Madan, Chetan Arora |
| 2022 | A Structured Dictionary Perspective on Implicit Neural Representations. Gizem Yüce, Guillermo Ortiz-Jiménez, Beril Besbinar, Pascal Frossard |
| 2022 | A Style-aware Discriminator for Controllable Image Translation. Kunhee Kim, Sanghun Park, Eunyeong Jeon, Taehun Kim, Daijin Kim |
| 2022 | A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution. Jianqi Ma, Zhetong Liang, Lei Zhang |
| 2022 | A Unified Framework for Implicit Sinkhorn Differentiation. Marvin Eisenberger, Aysim Toker, Laura Leal-Taixé, Florian Bernard, Daniel Cremers |
| 2022 | A Unified Model for Line Projections in Catadioptric Cameras with Rotationally Symmetric Mirrors. Pedro Miraldo, José Pedro Iglesias |
| 2022 | A Unified Query-based Paradigm for Point Cloud Understanding. Zetong Yang, Li Jiang, Yanan Sun, Bernt Schiele, Jiaya Jia |
| 2022 | A Versatile Multi-View Framework for LiDAR-based 3D Object Detection with Guidance from Panoptic Segmentation. Hamidreza Fazlali, Yixuan Xu, Yuan Ren, Bingbing Liu |
| 2022 | A Voxel Graph CNN for Object Classification with Event Cameras. Yongjian Deng, Hao Chen, Hai Liu, Youfu Li |
| 2022 | A sampling-based approach for efficient clustering in large datasets. Georgios Exarchakis, Omar Oubari, Gregor Lenz |
| 2022 | A study on the distribution of social biases in self-supervised learning visual models. Kirill Sirotkin, Pablo Carballeira, Marcos Escudero-Viñolo |
| 2022 | A variational Bayesian method for similarity learning in non-rigid image registration. Daniel Grzech, Mohammad Farid Azampour, Ben Glocker, Julia A. Schnabel, Nassir Navab, Bernhard Kainz, Loïc Le Folgoc |
| 2022 | A-ViT: Adaptive Tokens for Efficient Vision Transformer. Hongxu Yin, Arash Vahdat, José M. Álvarez, Arun Mallya, Jan Kautz, Pavlo Molchanov |
| 2022 | ABO: Dataset and Benchmarks for Real-World 3D Object Understanding. Jasmine Collins, Shubham Goel, Kenan Deng, Achleshwar Luthra, Leon Xu, Erhan Gundogdu, Xi Zhang, Tomas F. Yago Vicente, Thomas Dideriksen, Himanshu Arora, Matthieu Guillaumin, Jitendra Malik |
| 2022 | ABPN: Adaptive Blend Pyramid Network for Real-Time Local Retouching of Ultra High-Resolution Photo. Biwen Lei, Xiefan Guo, Hongyu Yang, Miaomiao Cui, Xuansong Xie, Di Huang |
| 2022 | ACPL: Anti-curriculum Pseudo-labelling for Semi-supervised Medical Image Classification. Fengbei Liu, Yu Tian, Yuanhong Chen, Yuyuan Liu, Vasileios Belagiannis, Gustavo Carneiro |
| 2022 | ADAPT: Vision-Language Navigation with Modality-Aligned Action Prompts. Bingqian Lin, Yi Zhu, Zicong Chen, Xiwen Liang, Jianzhuang Liu, Xiaodan Liang |
| 2022 | ADAS: A Direct Adaptation Strategy for Multi-Target Domain Adaptive Semantic Segmentation. Seunghun Lee, Wonhyeok Choi, Changjae Kim, Minwoo Choi, Sunghoon Im |
| 2022 | ADeLA: Automatic Dense Labeling with Attention for Viewpoint Shift in Semantic Segmentation. Hanxiang Ren, Yanchao Yang, He Wang, Bokui Shen, Qingnan Fan, Youyi Zheng, C. Karen Liu, Leonidas J. Guibas |
| 2022 | AEGNN: Asynchronous Event-based Graph Neural Networks. Simon Schaefer, Daniel Gehrig, Davide Scaramuzza |
| 2022 | AIM: an Auto-Augmenter for Images and Meshes. Vinit Veerendraveer Singh, Chandra Kambhamettu |
| 2022 | AKB-48: A Real-World Articulated Object Knowledge Base. Liu Liu, Wenqiang Xu, Haoyuan Fu, Sucheng Qian, Qiaojun Yu, Yang Han, Cewu Lu |
| 2022 | AME: Attention and Memory Enhancement in Hyper-Parameter Optimization. Nuo Xu, Jianlong Chang, Xing Nie, Chunlei Huo, Shiming Xiang, Chunhong Pan |
| 2022 | AP-BSN: Self-Supervised Denoising for Real-World Images via Asymmetric PD and Blind-Spot Network. Wooseok Lee, Sanghyun Son, Kyoung Mu Lee |
| 2022 | APES: Articulated Part Extraction from Sprite Sheets. Zhan Xu, Matthew Fisher, Yang Zhou, Deepali Aneja, Rushikesh Dudhat, Li Yi, Evangelos Kalogerakis |
| 2022 | APRIL: Finding the Achilles' Heel on Privacy for Vision Transformers. Jiahao Lu, Xi Sheryl Zhang, Tianli Zhao, Xiangyu He, Jian Cheng |
| 2022 | AR-NeRF: Unsupervised Learning of Depth and Defocus Effects from Natural Images with Aperture Rendering Neural Radiance Fields. Takuhiro Kaneko |
| 2022 | ARCS: Accurate Rotation and Correspondence Search. Liangzu Peng, Manolis C. Tsakiris, René Vidal |
| 2022 | ART-Point: Improving Rotation Robustness of Point Cloud Classifiers via Adversarial Rotation. Ruibin Wang, Yibo Yang, Dacheng Tao |
| 2022 | ASM-Loc: Action-aware Segment Modeling for Weakly-Supervised Temporal Action Localization. Bo He, Xitong Yang, Le Kang, Zhiyu Cheng, Xin Zhou, Abhinav Shrivastava |
| 2022 | ATPFL: Automatic Trajectory Prediction Model Design under Federated Learning Framework. Chunnan Wang, Xiang Chen, Junzhe Wang, Hongzhi Wang |
| 2022 | AUV-Net: Learning Aligned UV Maps for Texture Transfer and Synthesis. Zhiqin Chen, Kangxue Yin, Sanja Fidler |
| 2022 | Abandoning the Bayer-Filter to See in the Dark. Xingbo Dong, Wanyan Xu, Zhihui Miao, Lan Ma, Chao Zhang, Jiewen Yang, Zhe Jin, Andrew Beng Jin Teoh, Jiajun Shen |
| 2022 | Accelerating DETR Convergence via Semantic-Aligned Matching. Gongjie Zhang, Zhipeng Luo, Yingchen Yu, Kaiwen Cui, Shijian Lu |
| 2022 | Accelerating Video Object Segmentation with Compressed Video. Kai Xu, Angela Yao |
| 2022 | Accurate 3D Body Shape Regression using Metric and Semantic Attributes. Vasileios Choutas, Lea Müller, Chun-Hao P. Huang, Siyu Tang, Dimitrios Tzionas, Michael J. Black |
| 2022 | Acquiring a Dynamic Light Field through a Single-Shot Coded Image. Ryoya Mizuno, Keita Takahashi, Michitaka Yoshida, Chihiro Tsutake, Toshiaki Fujii, Hajime Nagahara |
| 2022 | Active Learning by Feature Mixing. Amin Parvaneh, Ehsan Abbasnejad, Damien Teney, Reza Haffari, Anton van den Hengel, Javen Qinfeng Shi |
| 2022 | Active Learning for Open-set Annotation. Kun-Peng Ning, Xun Zhao, Yu Li, Sheng-Jun Huang |
| 2022 | Active Teacher for Semi-Supervised Object Detection. Peng Mi, Jianghang Lin, Yiyi Zhou, Yunhang Shen, Gen Luo, Xiaoshuai Sun, Liujuan Cao, Rongrong Fu, Qiang Xu, Rongrong Ji |
| 2022 | ActiveZero: Mixed Domain Learning for Active Stereovision with Zero Annotation. Isabella Liu, Edward Yang, Jianyu Tao, Rui Chen, Xiaoshuai Zhang, Qing Ran, Zhu Liu, Hao Su |
| 2022 | AdaFace: Quality Adaptive Margin for Face Recognition. Minchul Kim, Anil K. Jain, Xiaoming Liu |
| 2022 | AdaFocus V2: End-to-End Training of Spatial Dynamic Networks for Video Recognition. Yulin Wang, Yang Yue, Yuanze Lin, Haojun Jiang, Zihang Lai, Victor Kulikov, Nikita Orlov, Humphrey Shi, Gao Huang |
| 2022 | AdaInt: Learning Adaptive Intervals for 3D Lookup Tables on Real-time Image Enhancement. Canqian Yang, Meiguang Jin, Xu Jia, Yi Xu, Ying Chen |
| 2022 | AdaMixer: A Fast-Converging Query-Based Object Detector. Ziteng Gao, Limin Wang, Bing Han, Sheng Guo |
| 2022 | AdaSTE: An Adaptive Straight-Through Estimator to Train Binary Neural Networks. Huu Le, Rasmus Kjær Høier, Che-Tsung Lin, Christopher Zach |
| 2022 | AdaViT: Adaptive Vision Transformers for Efficient Image Recognition. Lingchen Meng, Hengduo Li, Bor-Chun Chen, Shiyi Lan, Zuxuan Wu, Yu-Gang Jiang, Ser-Nam Lim |
| 2022 | AdaptPose: Cross-Dataset Adaptation for 3D Human Pose Estimation by Learnable Motion Generation. Mohsen Gholami, Bastian Wandt, Helge Rhodin, Rabab Ward, Z. Jane Wang |
| 2022 | Adaptive Early-Learning Correction for Segmentation from Noisy Annotations. Sheng Liu, Kangning Liu, Weicheng Zhu, Yiqiu Shen, Carlos Fernandez-Granda |
| 2022 | Adaptive Gating for Single-Photon 3D Imaging. Ryan Po, Adithya Pediredla, Ioannis Gkioulekas |
| 2022 | Adaptive Hierarchical Representation Learning for Long-Tailed Object Detection. Banghuai Li |
| 2022 | Adaptive Trajectory Prediction via Transferable GNN. Yi Xu, Lichen Wang, Yizhou Wang, Yun Fu |
| 2022 | Adiabatic Quantum Computing for Multi Object Tracking. Jan-Nico Zaech, Alexander Liniger, Martin Danelljan, Dengxin Dai, Luc Van Gool |
| 2022 | Advancing High-Resolution Video-Language Representation with Large-Scale Video Transcriptions. Hongwei Xue, Tiankai Hang, Yanhong Zeng, Yuchong Sun, Bei Liu, Huan Yang, Jianlong Fu, Baining Guo |
| 2022 | Adversarial Eigen Attack on BlackBox Models. Linjun Zhou, Peng Cui, Xingxuan Zhang, Yinan Jiang, Shiqiang Yang |
| 2022 | Adversarial Parametric Pose Prior. Andrey Davydov, Anastasia Remizova, Victor Constantin, Sina Honari, Mathieu Salzmann, Pascal Fua |
| 2022 | Adversarial Texture for Fooling Person Detectors in the Physical World. Zhanhao Hu, Siyuan Huang, Xiaopei Zhu, Fuchun Sun, Bo Zhang, Xiaolin Hu |
| 2022 | Aesthetic Text Logo Synthesis via Content-aware Layout Inferring. Yizhi Wang, Guo Pu, Wenhan Luo, Yexin Wang, Pengfei Xiong, Hongwen Kang, Zhouhui Lian |
| 2022 | Affine Medical Image Registration with Coarse-to-Fine Vision Transformer. Tony C. W. Mok, Albert C. S. Chung |
| 2022 | AirObject: A Temporally Evolving Graph Embedding for Object Identification. Nikhil Varma Keetha, Chen Wang, Yuheng Qiu, Kuan Xu, Sebastian A. Scherer |
| 2022 | Aladdin: Joint Atlas Building and Diffeomorphic Registration Learning with Pairwise Alignment. Zhipeng Ding, Marc Niethammer |
| 2022 | Align Representations with Base: A New Approach to Self-Supervised Learning. Shaofeng Zhang, Lyn Qiu, Feng Zhu, Junchi Yan, Hengrui Zhang, Rui Zhao, Hongyang Li, Xiaokang Yang |
| 2022 | Align and Prompt: Video-and-Language Pre-training with Entity Prompts. Dongxu Li, Junnan Li, Hongdong Li, Juan Carlos Niebles, Steven C. H. Hoi |
| 2022 | AlignMixup: Improving Representations By Interpolating Aligned Features. Shashanka Venkataramanan, Ewa Kijak, Laurent Amsaleg, Yannis Avrithis |
| 2022 | AlignQ: Alignment Quantization with ADMM-based Correlation Preservation. Ting-An Chen, De-Nian Yang, Ming-Syan Chen |
| 2022 | Alignment-Uniformity aware Representation Learning for Zero-shot Video Classification. Shi Pu, Kaili Zhao, Mao Zheng |
| 2022 | All-In-One Image Restoration for Unknown Corruption. Boyun Li, Xiao Liu, Peng Hu, Zhongqin Wu, Jiancheng Lv, Xi Peng |
| 2022 | All-photon Polarimetric Time-of-Flight Imaging. Seung-Hwan Baek, Felix Heide |
| 2022 | Alleviating Semantics Distortion in Unsupervised Low-Level Image-to-Image Translation via Structure Consistency Constraint. Jiaxian Guo, Jiachen Li, Huan Fu, Mingming Gong, Kun Zhang, Dacheng Tao |
| 2022 | Amodal Panoptic Segmentation. Rohit Mohan, Abhinav Valada |
| 2022 | Amodal Segmentation through Out-of-Task and Out-of-Distribution Generalization with a Bayesian Model. Yihong Sun, Adam Kortylewski, Alan L. Yuille |
| 2022 | An Efficient Training Approach for Very Large Scale Face Recognition. Kai Wang, Shuo Wang, Panpan Zhang, Zhipeng Zhou, Zheng Zhu, Xiaobo Wang, Xiaojiang Peng, Baigui Sun, Hao Li, Yang You |
| 2022 | An Empirical Study of End-to-End Temporal Action Detection. Xiaolong Liu, Song Bai, Xiang Bai |
| 2022 | An Empirical Study of Training End-to-End Vision-and-Language Transformers. Zi-Yi Dou, Yichong Xu, Zhe Gan, Jianfeng Wang, Shuohang Wang, Lijuan Wang, Chenguang Zhu, Pengchuan Zhang, Lu Yuan, Nanyun Peng, Zicheng Liu, Michael Zeng |
| 2022 | An Image Patch is a Wave: Phase-Aware Vision MLP. Yehui Tang, Kai Han, Jianyuan Guo, Chang Xu, Yanxi Li, Chao Xu, Yunhe Wang |
| 2022 | An Iterative Quantum Approach for Transformation Estimation from Point Sets. Natacha Kuete Meli, Florian Mannel, Jan Lellmann |
| 2022 | An MIL-Derived Transformer for Weakly Supervised Point Cloud Segmentation. Cheng-Kun Yang, Ji-Jia Wu, Kai-Syun Chen, Yung-Yu Chuang, Yen-Yu Lin |
| 2022 | Animal Kingdom: A Large and Diverse Dataset for Animal Behavior Understanding. Xun Long Ng, Kian Eng Ong, Qichen Zheng, Yun Ni, Si Yong Yeo, Jun Liu |
| 2022 | Anomaly Detection via Reverse Distillation from One-Class Embedding. Hanqiu Deng, Xingyu Li |
| 2022 | AnyFace: Free-style Text-to-Face Synthesis and Manipulation. Jianxin Sun, Qiyao Deng, Qi Li, Muyi Sun, Min Ren, Zhenan Sun |
| 2022 | Appearance and Structure Aware Robust Deep Visual Graph Matching: Attack, Defense and Beyond. Qibing Ren, Qingquan Bao, Runzhong Wang, Junchi Yan |
| 2022 | Arbitrary-Scale Image Synthesis. Evangelos Ntavelis, Mohamad Shahbazi, Iason Kastanis, Radu Timofte, Martin Danelljan, Luc Van Gool |
| 2022 | Arch-Graph: Acyclic Architecture Relation Predictor for Task-Transferable Neural Architecture Search. Minbin Huang, Zhijian Huang, Changlin Li, Xin Chen, Hang Xu, Zhenguo Li, Xiaodan Liang |
| 2022 | Are Multimodal Transformers Robust to Missing Modality? Mengmeng Ma, Jian Ren, Long Zhao, Davide Testuggine, Xi Peng |
| 2022 | ArtiBoost: Boosting Articulated 3D Hand-Object Pose Estimation via Online Exploration and Synthesis. Lixin Yang, Kailin Li, Xinyu Zhan, Jun Lv, Wenqiang Xu, Jiefeng Li, Cewu Lu |
| 2022 | Artistic Style Discovery with Independent Components. Xin Xie, Yi Li, Huaibo Huang, Haiyan Fu, Wanwan Wang, Yanqing Guo |
| 2022 | Assembly101: A Large-Scale Multi-View Video Dataset for Understanding Procedural Activities. Fadime Sener, Dibyadip Chatterjee, Daniel Shelepov, Kun He, Dipika Singhania, Robert Wang, Angela Yao |
| 2022 | Attention Concatenation Volume for Accurate and Efficient Stereo Matching. Gangwei Xu, Junda Cheng, Peng Guo, Xin Yang |
| 2022 | Attentive Fine-Grained Structured Sparsity for Image Restoration. Junghun Oh, Heewon Kim, Seungjun Nah, Cheeun Hong, Jonghyun Choi, Kyoung Mu Lee |
| 2022 | Attributable Visual Similarity Learning. Borui Zhang, Wenzhao Zheng, Jie Zhou, Jiwen Lu |
| 2022 | Attribute Group Editing for Reliable Few-shot Image Generation. Guanqi Ding, Xinzhe Han, Shuhui Wang, Shuzhe Wu, Xin Jin, Dandan Tu, Qingming Huang |
| 2022 | Attribute Surrogates Learning and Spectral Tokens Pooling in Transformers for Few-shot Learning. Yangji He, Weihan Liang, Dongyang Zhao, Hong-Yu Zhou, Weifeng Ge, Yizhou Yu, Wenqiang Zhang |
| 2022 | Audio-Adaptive Activity Recognition Across Video Domains. Yunhua Zhang, Hazel Doughty, Ling Shao, Cees G. M. Snoek |
| 2022 | Audio-Visual Speech Codecs: Rethinking Audio-Visual Speech Enhancement by Re-Synthesis. Karren Yang, Dejan Markovic, Steven Krenn, Vasu Agrawal, Alexander Richard |
| 2022 | Audio-driven Neural Gesture Reenactment with Video Motion Graphs. Yang Zhou, Jimei Yang, Dingzeyu Li, Jun Saito, Deepali Aneja, Evangelos Kalogerakis |
| 2022 | Audiovisual Generalised Zero-shot Learning with Cross-modal Attention and Language. Otniel-Bogdan Mercea, Lukas Riesch, A. Sophia Koepke, Zeynep Akata |
| 2022 | Auditing Privacy Defenses in Federated Learning via Generative Gradient Leakage. Zhuohang Li, Jiaxin Zhang, Luyang Liu, Jian Liu |
| 2022 | Aug-NeRF: Training Stronger Neural Radiance Fields with Triple-Level Physically-Grounded Augmentations. Tianlong Chen, Peihao Wang, Zhiwen Fan, Zhangyang Wang |
| 2022 | Augmented Geometric Distillation for Data-Free Incremental Person ReID. Yichen Lu, Mei Wang, Weihong Deng |
| 2022 | AutoGPart: Intermediate Supervision Search for Generalizable 3D Part Segmentation. Xueyi Liu, Xiaomeng Xu, Anyi Rao, Chuang Gan, Li Yi |
| 2022 | AutoLoss-GMS: Searching Generalized Margin-based Softmax Loss Function for Person Re-identification. Hongyang Gu, Jianmin Li, Guangyuan Fu, Chifong Wong, Xinghao Chen, Jun Zhu |
| 2022 | AutoLoss-Zero: Searching Loss Functions from Scratch for Generic Tasks. Hao Li, Tianwen Fu, Jifeng Dai, Hongsheng Li, Gao Huang, Xizhou Zhu |
| 2022 | AutoMine: An Unmanned Mine Dataset. Yuchen Li, Zixuan Li, Siyu Teng, Yu Zhang, Yuhang Zhou, Yuchang Zhu, Dongpu Cao, Bin Tian, Yunfeng Ai, Zhe Xuanyuan, Long Chen |
| 2022 | AutoRF: Learning 3D Object Radiance Fields from Single View Observations. Norman Müller, Andrea Simonelli, Lorenzo Porzi, Samuel Rota Bulò, Matthias Nießner, Peter Kontschieder |
| 2022 | AutoSDF: Shape Priors for 3D Completion, Reconstruction and Generation. Paritosh Mittal, Yen-Chi Cheng, Maneesh Singh, Shubham Tulsiani |
| 2022 | Autofocus for Event Cameras. Shijie Lin, Yinqiang Zhang, Lei Yu, Bin Zhou, Xiaowei Luo, Jia Pan |
| 2022 | Automated Progressive Learning for Efficient Training of Vision Transformers. Changlin Li, Bohan Zhuang, Guangrun Wang, Xiaodan Liang, Xiaojun Chang, Yi Yang |
| 2022 | Automatic Color Image Stitching Using Quaternion Rank-1 Alignment. Jiaxue Li, Yicong Zhou |
| 2022 | Automatic Relation-aware Graph Network Proliferation. Shaofei Cai, Liang Li, Xinzhe Han, Jiebo Luo, Zheng-Jun Zha, Qingming Huang |
| 2022 | Automatic Synthesis of Diverse Weak Supervision Sources for Behavior Analysis. Albert Tseng, Jennifer J. Sun, Yisong Yue |
| 2022 | Autoregressive Image Generation using Residual Quantization. Doyup Lee, Chiheon Kim, Saehoon Kim, Minsu Cho, Wook-Shin Han |
| 2022 | AxIoU: An Axiomatically Justified Measure for Video Moment Retrieval. Riku Togashi, Mayu Otani, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Tetsuya Sakai |
| 2022 | AziNorm: Exploiting the Radial Symmetry of Point Cloud for Azimuth-Normalized 3D Perception. Shaoyu Chen, Xinggang Wang, Tianheng Cheng, Wenqiang Zhang, Qian Zhang, Chang Huang, Wenyu Liu |
| 2022 | B-cos Networks: Alignment is All We Need for Interpretability. Moritz Böhle, Mario Fritz, Bernt Schiele |
| 2022 | BANMo: Building Animatable 3D Neural Models from Many Casual Videos. Gengshan Yang, Minh Vo, Natalia Neverova, Deva Ramanan, Andrea Vedaldi, Hanbyul Joo |
| 2022 | BARC: Learning to Regress 3D Dog Shape from Images by Exploiting Breed Information. Nadine Rüegg, Silvia Zuffi, Konrad Schindler, Michael J. Black |
| 2022 | BCOT: A Markerless High-Precision 3D Object Tracking Benchmark. Jiachen Li, Bin Wang, Shiqiang Zhu, Xin Cao, Fan Zhong, Wenxuan Chen, Te Li, Jason Gu, Xueying Qin |
| 2022 | BE-STI: Spatial-Temporal Integrated Network for Class-agnostic Motion Prediction with Bidirectional Enhancement. Yunlong Wang, Hongyu Pan, Jun Zhu, Yu-Huan Wu, Xin Zhan, Kun Jiang, Diange Yang |
| 2022 | BEHAVE: Dataset and Method for Tracking Human Object Interactions. Bharat Lal Bhatnagar, Xianghui Xie, Ilya A. Petrov, Cristian Sminchisescu, Christian Theobalt, Gerard Pons-Moll |
| 2022 | BEVT: BERT Pretraining of Video Transformers. Rui Wang, Dongdong Chen, Zuxuan Wu, Yinpeng Chen, Xiyang Dai, Mengchen Liu, Yu-Gang Jiang, Luowei Zhou, Lu Yuan |
| 2022 | BNUDC: A Two-Branched Deep Neural Network for Restoring Images from Under-Display Cameras. Jaihyun Koh, Jangho Lee, Sungroh Yoon |
| 2022 | BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion. Kejie Li, Yansong Tang, Victor Adrian Prisacariu, Philip H. S. Torr |
| 2022 | BTS: A Bi-lingual Benchmark for Text Segmentation in the Wild. Xixi Xu, Zhongang Qi, Jianqi Ma, Honglun Zhang, Ying Shan, Xiaohu Qie |
| 2022 | BaLeNAS: Differentiable Architecture Search via the Bayesian Learning Rule. Miao Zhang, Shirui Pan, Xiaojun Chang, Steven Su, Jilin Hu, Gholamreza Haffari, Bin Yang |
| 2022 | Back to Reality: Weakly-supervised 3D Object Detection with Shape-guided Label Enhancement. Xiuwei Xu, Yifan Wang, Yu Zheng, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2022 | Backdoor Attacks on Self-Supervised Learning. Aniruddha Saha, Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Hamed Pirsiavash |
| 2022 | Background Activation Suppression for Weakly Supervised Object Localization. Pingyu Wu, Wei Zhai, Yang Cao |
| 2022 | Bacon: Band-limited Coordinate Networks for Multiscale Scene Representation. David B. Lindell, Dave Van Veen, Jeong Joon Park, Gordon Wetzstein |
| 2022 | Bailando: 3D Dance Generation by Actor-Critic GPT with Choreographic Memory. Li Siyao, Weijiang Yu, Tianpei Gu, Chunze Lin, Quan Wang, Chen Qian, Chen Change Loy, Ziwei Liu |
| 2022 | Balanced Contrastive Learning for Long-Tailed Visual Recognition. Jianggang Zhu, Zheng Wang, Jingjing Chen, Yi-Ping Phoebe Chen, Yu-Gang Jiang |
| 2022 | Balanced MSE for Imbalanced Visual Regression. Jiawei Ren, Mingyuan Zhang, Cunjun Yu, Ziwei Liu |
| 2022 | Balanced Multimodal Learning via On-the-fly Gradient Modulation. Xiaokang Peng, Yake Wei, Andong Deng, Dong Wang, Di Hu |
| 2022 | Balanced and Hierarchical Relation Learning for One-shot Object Detection. Hanqing Yang, Sijia Cai, Hualian Sheng, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Yong Tang, Yu Zhang |
| 2022 | Bandits for Structure Perturbation-based Black-box Attacks to Graph Neural Networks with Theoretical Guarantees. Binghui Wang, Youqi Li, Pan Zhou |
| 2022 | BasicVSR++: Improving Video Super-Resolution with Enhanced Propagation and Alignment. Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy |
| 2022 | BatchFormer: Learning to Explore Sample Relationships for Robust Representation Learning. Zhi Hou, Baosheng Yu, Dacheng Tao |
| 2022 | Bayesian Invariant Risk Minimization. Yong Lin, Hanze Dong, Hao Wang, Tong Zhang |
| 2022 | Bayesian Nonparametric Submodular Video Partition for Robust Anomaly Detection. Hitesh Sapkota, Qi Yu |
| 2022 | Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport. Mahdi Saleh, Shun-Cheng Wu, Luca Cosmo, Nassir Navab, Benjamin Busam, Federico Tombari |
| 2022 | Bending Reality: Distortion-aware Transformers for Adapting to Panoramic Semantic Segmentation. Jiaming Zhang, Kailun Yang, Chaoxiang Ma, Simon Reiß, Kunyu Peng, Rainer Stiefelhagen |
| 2022 | Better Trigger Inversion Optimization in Backdoor Scanning. Guanhong Tao, Guangyu Shen, Yingqi Liu, Shengwei An, Qiuling Xu, Shiqing Ma, Pan Li, Xiangyu Zhang |
| 2022 | Beyond 3D Siamese Tracking: A Motion-Centric Paradigm for 3D Single Object Tracking in Point Clouds. Chaoda Zheng, Xu Yan, Haiming Zhang, Baoyuan Wang, Shenghui Cheng, Shuguang Cui, Zhen Li |
| 2022 | Beyond Cross-view Image Retrieval: Highly Accurate Vehicle Localization Using Satellite Image. Yujiao Shi, Hongdong Li |
| 2022 | Beyond Fixation: Dynamic Window Visual Transformer. Pengzhen Ren, Changlin Li, Guangrun Wang, Yun Xiao, Qing Du, Xiaodan Liang, Xiaojun Chang |
| 2022 | Beyond Semantic to Instance Segmentation: Weakly-Supervised Instance Segmentation via Semantic Knowledge Transfer and Self-Refinement. Beomyoung Kim, Youngjoon Yoo, Chaeeun Rhee, Junmo Kim |
| 2022 | Beyond Supervised vs. Unsupervised: Representative Benchmarking and Analysis of Image Representation Learning. Matthew Gwilliam, Abhinav Shrivastava |
| 2022 | Beyond a Pre-Trained Object Detector: Cross-Modal Textual and Visual Context for Image Captioning. Chia-Wen Kuo, Zsolt Kira |
| 2022 | Bi-directional Object-Context Prioritization Learning for Saliency Ranking. Xin Tian, Ke Xu, Xin Yang, Lin Du, Baocai Yin, Rynson W. H. Lau |
| 2022 | Bi-level Alignment for Cross-Domain Crowd Counting. Shenjian Gong, Shanshan Zhang, Jian Yang, Dengxin Dai, Bernt Schiele |
| 2022 | Bi-level Doubly Variational Learning for Energy-based Latent Variable Models. Ge Kan, Jinhu Lü, Tian Wang, Baochang Zhang, Aichun Zhu, Lei Huang, Guodong Guo, Hichem Snoussi |
| 2022 | BigDL 2.0: Seamless Scaling of AI Pipelines from Laptops to Distributed Cluster. Jason Jinquan Dai, Ding Ding, Dongjie Shi, Shengsheng Huang, Jiao Wang, Xin Qiu, Kai Huang, Guoqiong Song, Yang Wang, Qiyuan Gong, Jiaming Song, Shan Yu, Le Zheng, Yina Chen, Junwei Deng, Ge Song |
| 2022 | BigDatasetGAN: Synthesizing ImageNet with Pixel-wise Annotations. Daiqing Li, Huan Ling, Seung Wook Kim, Karsten Kreis, Sanja Fidler, Antonio Torralba |
| 2022 | Bijective Mapping Network for Shadow Removal. Yurui Zhu, Jie Huang, Xueyang Fu, Feng Zhao, Qibin Sun, Zheng-Jun Zha |
| 2022 | Bilateral Video Magnification Filter. Shoichiro Takeda, Kenta Niwa, Mariko Isogawa, Shinya Shimizu, Kazuki Okami, Yushi Aono |
| 2022 | Blended Diffusion for Text-driven Editing of Natural Images. Omri Avrahami, Dani Lischinski, Ohad Fried |
| 2022 | Blind Face Restoration via Integrating Face Shape and Generative Priors. Feida Zhu, Junwei Zhu, Wenqing Chu, Xinyi Zhang, Xiaozhong Ji, Chengjie Wang, Ying Tai |
| 2022 | Blind Image Super-resolution with Elaborate Degradation Modeling on Noise and Kernel. Zongsheng Yue, Qian Zhao, Jianwen Xie, Lei Zhang, Deyu Meng, Kwan-Yee K. Wong |
| 2022 | Blind2Unblind: Self-Supervised Image Denoising with Visible Blind Spots. Zejin Wang, Jiazheng Liu, Guoqing Li, Hua Han |
| 2022 | Block-NeRF: Scalable Large Scene Neural View Synthesis. Matthew Tancik, Vincent Casser, Xinchen Yan, Sabeek Pradhan, Ben P. Mildenhall, Pratul P. Srinivasan, Jonathan T. Barron, Henrik Kretzschmar |
| 2022 | BodyGAN: General-purpose Controllable Neural Human Body Generation. Chaojie Yang, Hanhui Li, Shengjie Wu, Shengkai Zhang, Haonan Yan, Nianhong Jiao, Jie Tang, Runnan Zhou, Xiaodan Liang, Tianxiang Zheng |
| 2022 | BodyMap: Learning Full-Body Dense Correspondence Map. Anastasia Ianina, Nikolaos Sarafianos, Yuanlu Xu, Ignacio Rocco, Tony Tung |
| 2022 | BokehMe: When Neural Rendering Meets Classical Rendering. Juewen Peng, Zhiguo Cao, Xianrui Luo, Hao Lu, Ke Xian, Jianming Zhang |
| 2022 | Bongard-HOI: Benchmarking Few-Shot Visual Reasoning for Human-Object Interactions. Huaizu Jiang, Xiaojian Ma, Weili Nie, Zhiding Yu, Yuke Zhu, Anima Anandkumar |
| 2022 | BoostMIS: Boosting Medical Image Semi-supervised Learning with Adaptive Pseudo Labeling and Informative Active Annotation. Wenqiao Zhang, Lei Zhu, James Hallinan, Shengyu Zhang, Andrew Makmur, Qingpeng Cai, Beng Chin Ooi |
| 2022 | BoosterNet: Improving Domain Generalization of Deep Neural Nets using Culpability-Ranked Features. Nourhan Bayasi, Ghassan Hamarneh, Rafeef Garbi |
| 2022 | Boosting 3D Object Detection by Simulating Multimodality on Point Clouds. Wu Zheng, Mingxuan Hong, Li Jiang, Chi-Wing Fu |
| 2022 | Boosting Black-Box Attack with Partially Transferred Conditional Adversarial Distribution. Yan Feng, Baoyuan Wu, Yanbo Fan, Li Liu, Zhifeng Li, Shu-Tao Xia |
| 2022 | Boosting Crowd Counting via Multifaceted Attention. Hui Lin, Zhiheng Ma, Rongrong Ji, Yaowei Wang, Xiaopeng Hong |
| 2022 | Boosting Robustness of Image Matting with Context Assembling and Strong Data Augmentation. Yutong Dai, Brian L. Price, He Zhang, Chunhua Shen |
| 2022 | Boosting View Synthesis with Residual Transfer. Xuejian Rong, Jia-Bin Huang, Ayush Saraf, Changil Kim, Johannes Kopf |
| 2022 | Bootstrapping ViTs: Towards Liberating Vision Transformers from Pre-training. Haofei Zhang, Jiarui Duan, Mengqi Xue, Jie Song, Li Sun, Mingli Song |
| 2022 | Both Style and Fog Matter: Cumulative Domain Adaptation for Semantic Foggy Scene Understanding. Xianzheng Ma, Zhixiang Wang, Yacheng Zhan, Yinqiang Zheng, Zheng Wang, Dengxin Dai, Chia-Wen Lin |
| 2022 | Bounded Adversarial Attack on Deep Content Features. Qiuling Xu, Guanhong Tao, Xiangyu Zhang |
| 2022 | BoxeR: Box-Attention for 2D and 3D Transformers. Duy-Kien Nguyen, Jihong Ju, Olaf Booij, Martin R. Oswald, Cees G. M. Snoek |
| 2022 | BppAttack: Stealthy and Efficient Trojan Attacks against Deep Neural Networks via Image Quantization and Contrastive Adversarial Learning. Zhenting Wang, Juan Zhai, Shiqing Ma |
| 2022 | Brain-Supervised Image Editing. Keith M. Davis, Carlos de la Torre-Ortiz, Tuukka Ruotsalo |
| 2022 | Brain-inspired Multilayer Perceptron with Spiking Neurons. Wenshuo Li, Hanting Chen, Jianyuan Guo, Ziyang Zhang, Yunhe Wang |
| 2022 | Bridge-Prompt: Towards Ordinal Action Understanding in Instructional Videos. Muheng Li, Lei Chen, Yueqi Duan, Zhilan Hu, Jianjiang Feng, Jie Zhou, Jiwen Lu |
| 2022 | Bridged Transformer for Vision and Point Cloud 3D Object Detection. Yikai Wang, TengQi Ye, Lele Cao, Wenbing Huang, Fuchun Sun, Fengxiang He, Dacheng Tao |
| 2022 | Bridging Global Context Interactions for High-Fidelity Image Completion. Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai, Dinh Q. Phung |
| 2022 | Bridging Video-text Retrieval with Multiple Choice Questions. Yuying Ge, Yixiao Ge, Xihui Liu, Dian Li, Ying Shan, Xiaohu Qie, Ping Luo |
| 2022 | Bridging the Gap Between Learning in Discrete and Continuous Environments for Vision-and-Language Navigation. Yicong Hong, Zun Wang, Qi Wu, Stephen Gould |
| 2022 | Bridging the Gap between Classification and Localization for Weakly Supervised Object Localization. Eunji Kim, Siwon Kim, Jungbeom Lee, Hyunwoo Kim, Sungroh Yoon |
| 2022 | Bring Evanescent Representations to Life in Lifelong Class Incremental Learning. Marco Toldo, Mete Ozay |
| 2022 | Bringing Old Films Back to Life. Ziyu Wan, Bo Zhang, Dongdong Chen, Jing Liao |
| 2022 | Burst Image Restoration and Enhancement. Akshay Dudhane, Syed Waqas Zamir, Salman Khan, Fahad Shahbaz Khan, Ming-Hsuan Yang |
| 2022 | C Jinheng Xie, Jianfeng Xiang, Junliang Chen, Xianxu Hou, Xiaodong Zhao, Linlin Shen |
| 2022 | C Ronglai Zuo, Brian Mak |
| 2022 | C-CAM: Causal CAM for Weakly Supervised Semantic Segmentation on Medical Image. Zhang Chen, Zhiqiang Tian, Jihua Zhu, Ce Li, Shaoyi Du |
| 2022 | C2AM Loss: Chasing a Better Decision Boundary for Long-Tail Object Detection. Tong Wang, Yousong Zhu, Yingying Chen, Chaoyang Zhao, Bin Yu, Jinqiao Wang, Ming Tang |
| 2022 | CAD: Co-Adapting Discriminative Features for Improved Few-Shot Classification. Philip Chikontwe, Soopil Kim, Sang Hyun Park |
| 2022 | CADTransformer: Panoptic Symbol Spotting Transformer for CAD Drawings. Zhiwen Fan, Tianlong Chen, Peihao Wang, Zhangyang Wang |
| 2022 | CAFE: Learning to Condense Dataset by Aligning Features. Kai Wang, Bo Zhao, Xiangyu Peng, Zheng Zhu, Shuo Yang, Shuo Wang, Guan Huang, Hakan Bilen, Xinchao Wang, Yang You |
| 2022 | CAPRI-Net: Learning Compact CAD Shapes with Adaptive Primitive Assembly. Fenggen Yu, Zhiqin Chen, Manyi Li, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang |
| 2022 | CAT-Det: Contrastively Augmented Transformer for Multimodal 3D Object Detection. Yanan Zhang, Jiaxin Chen, Di Huang |
| 2022 | CD Yiqing Shen, Yuyin Zhou, Lequan Yu |
| 2022 | CDGNet: Class Distribution Guided Network for Human Parsing. Kunliang Liu, Ouk Choi, Jianming Wang, Wonjun Hwang |
| 2022 | CHEX: CHannel EXploration for CNN Model Compression. Zejiang Hou, Minghai Qin, Fei Sun, Xiaolong Ma, Kun Yuan, Yi Xu, Yen-Kuang Chen, Rong Jin, Yuan Xie, Sun-Yuan Kung |
| 2022 | CLIMS: Cross Language Image Matching for Weakly Supervised Semantic Segmentation. Jinheng Xie, Xianxu Hou, Kai Ye, Linlin Shen |
| 2022 | CLIP-Event: Connecting Text and Images with Event Structures. Manling Li, Ruochen Xu, Shuohang Wang, Luowei Zhou, Xudong Lin, Chenguang Zhu, Michael Zeng, Heng Ji, Shih-Fu Chang |
| 2022 | CLIP-Forge: Towards Zero-Shot Text-to-Shape Generation. Aditya Sanghi, Hang Chu, Joseph G. Lambourne, Ye Wang, Chin-Yi Cheng, Marco Fumero, Kamal Rahimi Malekshan |
| 2022 | CLIP-NeRF: Text-and-Image Driven Manipulation of Neural Radiance Fields. Can Wang, Menglei Chai, Mingming He, Dongdong Chen, Jing Liao |
| 2022 | CLIPstyler: Image Style Transfer with a Single Text Condition. Gihyun Kwon, Jong Chul Ye |
| 2022 | CLRNet: Cross Layer Refinement Network for Lane Detection. Tu Zheng, Yifei Huang, Yang Liu, Wenjian Tang, Zheng Yang, Deng Cai, Xiaofei He |
| 2022 | CMT-DeepLab: Clustering Mask Transformers for Panoptic Segmentation. Qihang Yu, Huiyu Wang, Dahun Kim, Siyuan Qiao, Maxwell D. Collins, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2022 | CMT: Convolutional Neural Networks Meet Vision Transformers. Jianyuan Guo, Kai Han, Han Wu, Yehui Tang, Xinghao Chen, Yunhe Wang, Chang Xu |
| 2022 | CNN Filter DB: An Empirical Investigation of Trained Convolutional Filters. Paul Gavrikov, Janis Keuper |
| 2022 | CO-SNE: Dimensionality Reduction and Visualization for Hyperbolic Data. Yunhui Guo, Haoran Guo, Stella X. Yu |
| 2022 | COAP: Compositional Articulated Occupancy of People. Marko Mihajlovic, Shunsuke Saito, Aayush Bansal, Michael Zollhöfer, Siyu Tang |
| 2022 | COTS: Collaborative Two-Stream Vision-Language Pre-Training Model for Cross-Modal Retrieval. Haoyu Lu, Nanyi Fei, Yuqi Huo, Yizhao Gao, Zhiwu Lu, Ji-Rong Wen |
| 2022 | CPPF: Towards Robust Category-Level 9D Pose Estimation in the Wild. Yang You, Ruoxi Shi, Weiming Wang, Cewu Lu |
| 2022 | CRAFT: Cross-Attentional Flow Transformer for Robust Optical Flow. Xiuchao Sui, Shaohua Li, Xue Geng, Yan Wu, Xinxing Xu, Yong Liu, Rick Siow Mong Goh, Hongyuan Zhu |
| 2022 | CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping. Jilan Xu, Junlin Hou, Yuejie Zhang, Rui Feng, Rui-Wei Zhao, Tao Zhang, Xuequan Lu, Shang Gao |
| 2022 | CRIS: CLIP-Driven Referring Image Segmentation. Zhaoqing Wang, Yu Lu, Qiang Li, Xunqiang Tao, Yandong Guo, Mingming Gong, Tongliang Liu |
| 2022 | CSWin Transformer: A General Vision Transformer Backbone with Cross-Shaped Windows. Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Weiming Zhang, Nenghai Yu, Lu Yuan, Dong Chen, Baining Guo |
| 2022 | CVF-SID: Cyclic multi-Variate Function for Self-Supervised Image Denoising by Disentangling Noise from Image. Reyhaneh Neshatavar, Mohsen Yavartanoo, Sanghyun Son, Kyoung Mu Lee |
| 2022 | CVNet: Contour Vibration Network for Building Extraction. Ziqiang Xu, Chunyan Xu, Zhen Cui, Xiangwei Zheng, Jian Yang |
| 2022 | CaDeX: Learning Canonical Deformation Coordinate Space for Dynamic Surface Representation via Neural Homeomorphism. Jiahui Lei, Kostas Daniilidis |
| 2022 | Calibrating Deep Neural Networks by Pairwise Constraints. Jiacheng Cheng, Nuno Vasconcelos |
| 2022 | CamLiFlow: Bidirectional Camera-LiDAR Fusion for Joint Optical Flow and Scene Flow Estimation. Haisong Liu, Tao Lu, Yihui Xu, Jia Liu, Wenjie Li, Lijun Chen |
| 2022 | Camera Pose Estimation using Implicit Distortion Models. Linfei Pan, Marc Pollefeys, Viktor Larsson |
| 2022 | Camera-Conditioned Stable Feature Generation for Isolated Camera Supervised Person Re-IDentification. Chao Wu, Wenhang Ge, Ancong Wu, Xiaobin Chang |
| 2022 | Can Neural Nets Learn the Same Model Twice? Investigating Reproducibility and Double Descent from the Decision Boundary Perspective. Gowthami Somepalli, Liam Fowl, Arpit Bansal, Ping-Yeh Chiang, Yehuda Dar, Richard G. Baraniuk, Micah Goldblum, Tom Goldstein |
| 2022 | Can You Spot the Chameleon? Adversarially Camouflaging Images from Co-Salient Object Detection. Ruijun Gao, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Huazhu Fu, Wei Feng, Yang Liu, Song Wang |
| 2022 | Cannot See the Forest for the Trees: Aggregating Multiple Viewpoints to Better Classify Objects in Videos. Sukjun Hwang, Miran Heo, Seoung Wug Oh, Seon Joo Kim |
| 2022 | Canonical Voting: Towards Robust Oriented Bounding Box Detection in 3D Scenes. Yang You, Zelin Ye, Yujing Lou, Chengkun Li, Yong-Lu Li, Lizhuang Ma, Weiming Wang, Cewu Lu |
| 2022 | Capturing Humans in Motion: Temporal-Attentive 3D Human Pose and Shape Estimation from Monocular Video. Wen-Li Wei, Jen-Chun Lin, Tyng-Luh Liu, Hong-Yuan Mark Liao |
| 2022 | Capturing and Inferring Dense Full-Body Human-Scene Contact. Chun-Hao P. Huang, Hongwei Yi, Markus Höschle, Matvey Safroshkin, Tsvetelina Alexiadis, Senya Polikovsky, Daniel Scharstein, Michael J. Black |
| 2022 | Cascade Transformers for End-to-End Person Search. Rui Yu, Dawei Du, Rodney LaLonde, Daniel Davila, Christopher Funk, Anthony Hoogs, Brian Clipp |
| 2022 | Catching Both Gray and Black Swans: Open-set Supervised Anomaly Detection. Choubo Ding, Guansong Pang, Chunhua Shen |
| 2022 | Category Contrast for Unsupervised Domain Adaptation in Visual Tasks. Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu, Ling Shao |
| 2022 | Category-Aware Transformer Network for Better Human-Object Interaction Detection. Leizhen Dong, Zhimin Li, Kunlun Xu, Zhijun Zhang, Luxin Yan, Sheng Zhong, Xu Zou |
| 2022 | Causal Transportability for Visual Recognition. Chengzhi Mao, Kevin Xia, James Wang, Hao Wang, Junfeng Yang, Elias Bareinboim, Carl Vondrick |
| 2022 | Causality Inspired Representation Learning for Domain Generalization. Fangrui Lv, Jian Liang, Shuang Li, Bin Zang, Chi Harold Liu, Ziteng Wang, Di Liu |
| 2022 | CellTypeGraph: A New Geometric Computer Vision Benchmark. Lorenzo Cerrone, Athul Vijayan, Tejasvinee Mody, Kay Schneitz, Fred A. Hamprecht |
| 2022 | Cerberus Transformer: Joint Semantic, Affordance and Attribute Parsing. Xiaoxue Chen, Tianyu Liu, Hao Zhao, Guyue Zhou, Ya-Qin Zhang |
| 2022 | Certified Patch Robustness via Smoothed Vision Transformers. Hadi Salman, Saachi Jain, Eric Wong, Aleksander Madry |
| 2022 | Channel Balancing for Accurate Quantization of Winograd Convolutions. Vladimir Chikin, Vladimir Kryzhanovskiy |
| 2022 | ChiTransformer: Towards Reliable Stereo from Cues. Qing Su, Shihao Ji |
| 2022 | Class Re-Activation Maps for Weakly-Supervised Semantic Segmentation. Zhaozheng Chen, Tan Wang, Xiongwei Wu, Xian-Sheng Hua, Hanwang Zhang, Qianru Sun |
| 2022 | Class Similarity Weighted Knowledge Distillation for Continual Semantic Segmentation. Minh-Hieu Phan, The-Anh Ta, Son Lam Phung, Long Tran-Thanh, Abdesselam Bouzerdoum |
| 2022 | Class-Aware Contrastive Semi-Supervised Learning. Fan Yang, Kai Wu, Shuyi Zhang, Guannan Jiang, Yong Liu, Feng Zheng, Wei Zhang, Chengjie Wang, Long Zeng |
| 2022 | Class-Balanced Pixel-Level Self-Labeling for Domain Adaptive Semantic Segmentation. Ruihuang Li, Shuai Li, Chenhang He, Yabin Zhang, Xu Jia, Lei Zhang |
| 2022 | Class-Incremental Learning by Knowledge Distillation with Adaptive Feature Consolidation. Minsoo Kang, Jaeyoo Park, Bohyung Han |
| 2022 | Class-Incremental Learning with Strong Pre-trained Models. Tz-Ying Wu, Gurumurthy Swaminathan, Zhizhong Li, Avinash Ravichandran, Nuno Vasconcelos, Rahul Bhotika, Stefano Soatto |
| 2022 | Classification-Then-Grounding: Reformulating Video Scene Graphs as Temporal Bipartite Graphs. Kaifeng Gao, Long Chen, Yulei Niu, Jian Shao, Jun Xiao |
| 2022 | Clean Implicit 3D Structure from Noisy 2D STEM Images. Hannah Kniesel, Timo Ropinski, Tim Bergner, Kavitha Shaga Devan, Clarissa Read, Paul Walther, Tobias Ritschel, Pedro Hermosilla |
| 2022 | Clipped Hyperbolic Classifiers Are Super-Hyperbolic Classifiers. Yunhui Guo, Xudong Wang, Yubei Chen, Stella X. Yu |
| 2022 | Cloning Outfits from Real-World Images to 3D Characters for Generalizable Person Re-Identification. Yanan Wang, Xuezhi Liang, Shengcai Liao |
| 2022 | Closing the Generalization Gap of Cross-silo Federated Medical Image Segmentation. An Xu, Wenqi Li, Pengfei Guo, Dong Yang, Holger Roth, Ali Hatamizadeh, Can Zhao, Daguang Xu, Heng Huang, Ziyue Xu |
| 2022 | Cloth-Changing Person Re-identification from A Single Image with Gait Prediction and Regularization. Xin Jin, Tianyu He, Kecheng Zheng, Zhiheng Yin, Xu Shen, Zhen Huang, Ruoyu Feng, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua |
| 2022 | ClothFormer: Taming Video Virtual Try-on in All Module. Jianbin Jiang, Tan Wang, He Yan, Junhui Liu |
| 2022 | Clothes-Changing Person Re-identification with RGB Modality Only. Xinqian Gu, Hong Chang, Bingpeng Ma, Shutao Bai, Shiguang Shan, Xilin Chen |
| 2022 | Cluster-guided Image Synthesis with Unconditional Models. Markos Georgopoulos, James Oldfield, Grigorios G. Chrysos, Yannis Panagakis |
| 2022 | ClusterGNN: Cluster-based Coarse-to-Fine Graph Neural Network for Efficient Feature Matching. Yan Shi, Junxiong Cai, Yoli Shavit, Tai-Jiang Mu, Wensen Feng, Kai Zhang |
| 2022 | Clustering Plotted Data by Image Segmentation. Tarek Naous, Srinjay Sarkar, Abubakar Abid, James Zou |
| 2022 | Co-advise: Cross Inductive Bias Distillation. Sucheng Ren, Zhengqi Gao, Tianyu Hua, Zihui Xue, Yonglong Tian, Shengfeng He, Hang Zhao |
| 2022 | Co-domain Symmetry for Complex-Valued Deep Learning. Utkarsh Singhal, Yifei Xing, Stella X. Yu |
| 2022 | CoNeRF: Controllable Neural Radiance Fields. Kacper Kania, Kwang Moo Yi, Marek Kowalski, Tomasz Trzcinski, Andrea Tagliasacchi |
| 2022 | CoSSL: Co-Learning of Representation and Classifier for Imbalanced Semi-Supervised Learning. Yue Fan, Dengxin Dai, Anna Kukleva, Bernt Schiele |
| 2022 | Coarse-To-Fine Deep Video Coding with Hyperprior-Guided Mode Prediction. Zhihao Hu, Guo Lu, Jinyang Guo, Shan Liu, Wei Jiang, Dong Xu |
| 2022 | Coarse-to-Fine Feature Mining for Video Semantic Segmentation. Guolei Sun, Yun Liu, Henghui Ding, Thomas Probst, Luc Van Gool |
| 2022 | Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison |
| 2022 | CodedVTR: Codebook-based Sparse Voxel Transformer with Geometric Guidance. Tianchen Zhao, Niansong Zhang, Xuefei Ning, He Wang, Li Yi, Yu Wang |
| 2022 | Coherent Point Drift Revisited for Non-rigid Shape Matching and Registration. Aoxiang Fan, Jiayi Ma, Xin Tian, Xiaoguang Mei, Wei Lin |
| 2022 | Colar: Effective and Efficient Online Action Detection by Consulting Exemplars. Le Yang, Junwei Han, Dingwen Zhang |
| 2022 | Collaborative Learning for Hand and Object Reconstruction with Attention-guided Graph Convolution. Tze Ho Elden Tse, Kwang In Kim, Ales Leonardis, Hyung Jin Chang |
| 2022 | Collaborative Transformers for Grounded Situation Recognition. Junhyeong Cho, YoungSeok Yoon, Suha Kwak |
| 2022 | Come-Closer-Diffuse-Faster: Accelerating Conditional Diffusion Models for Inverse Problems through Stochastic Contraction. Hyungjin Chung, Byeongsu Sim, Jong Chul Ye |
| 2022 | Commonality in Natural Images Rescues GANs: Pretraining GANs with Generic and Privacy-free Synthetic Data. Kyungjune Baek, Hyunjung Shim |
| 2022 | Comparing Correspondences: Video Prediction with Correspondence-wise Losses. Daniel Geng, Max Hamilton, Andrew Owens |
| 2022 | Complex Backdoor Detection by Symmetric Feature Differencing. Yingqi Liu, Guangyu Shen, Guanhong Tao, Zhenting Wang, Shiqing Ma, Xiangyu Zhang |
| 2022 | Complex Video Action Reasoning via Learnable Markov Logic Network. Yang Jin, Linchao Zhu, Yadong Mu |
| 2022 | Compositional Temporal Grounding with Structured Variational Cross-Graph Correspondence Learning. Juncheng Li, Junlin Xie, Long Qian, Linchao Zhu, Siliang Tang, Fei Wu, Yi Yang, Yueting Zhuang, Xin Eric Wang |
| 2022 | Compound Domain Generalization via Meta-Knowledge Encoding. Chaoqi Chen, Jiongcheng Li, Xiaoguang Han, Xiaoqing Liu, Yizhou Yu |
| 2022 | Comprehending and Ordering Semantics for Image Captioning. Yehao Li, Yingwei Pan, Ting Yao, Tao Mei |
| 2022 | Compressing Models with Few Samples: Mimicking then Replacing. Huanyu Wang, Junjie Liu, Xin Ma, Yang Yong, Zhenhua Chai, Jianxin Wu |
| 2022 | Compressive Single-Photon 3D Cameras. Felipe Gutierrez-Barragan, Atul Ingle, Trevor Seets, Mohit Gupta, Andreas Velten |
| 2022 | Computing Wasserstein-$p$ Distance Between Images with Linear Cost. Yidong Chen, Chen Li, Zhonghua Lu |
| 2022 | ConDor: Self-Supervised Canonicalization of 3D Pose for Partial Shapes. Rahul Sajnani, Adrien Poulenard, Jivitesh Jain, Radhika Dua, Leonidas J. Guibas, Srinath Sridhar |
| 2022 | Condensing CNNs with Partial Differential Equations. Anil Kag, Venkatesh Saligrama |
| 2022 | Conditional Prompt Learning for Vision-Language Models. Kaiyang Zhou, Jingkang Yang, Chen Change Loy, Ziwei Liu |
| 2022 | Confidence Propagation Cluster: Unleash Full Potential of Object Detectors. Yichun Shen, Wanli Jiang, Zhen Xu, Rundong Li, Junghyun Kwon |
| 2022 | Connecting the Complementary-view Videos: Joint Camera Identification and Subject Association. Ruize Han, Yiyang Gan, Jiacheng Li, Feifan Wang, Wei Feng, Song Wang |
| 2022 | Consistency Learning via Decoding Path Augmentation for Transformers in Human Object Interaction Detection. Jihwan Park, Seungjun Lee, Hwan Heo, Hyeong Kyu Choi, Hyunwoo J. Kim |
| 2022 | Consistency driven Sequential Transformers Attention Model for Partially Observable Scenes. Samrudhdhi B. Rangrej, Chetan L. Srinidhi, James J. Clark |
| 2022 | Consistent Explanations by Contrastive Learning. Vipin Pillai, Soroush Abbasi Koohpayegani, Ashley Ouligian, Dennis Fong, Hamed Pirsiavash |
| 2022 | Constrained Few-shot Class-incremental Learning. Michael Hersche, Geethan Karunaratne, Giovanni Cherubini, Luca Benini, Abu Sebastian, Abbas Rahimi |
| 2022 | ContIG: Self-supervised Multimodal Contrastive Learning for Medical Imaging with Genetics. Aiham Taleb, Matthias Kirchler, Remo Monti, Christoph Lippert |
| 2022 | Context-Aware Sequence Alignment using 4D Skeletal Augmentation. Taein Kwon, Bugra Tekin, Siyu Tang, Marc Pollefeys |
| 2022 | Context-Aware Video Reconstruction for Rolling Shutter Cameras. Bin Fan, Yuchao Dai, Zhiyuan Zhang, Qi Liu, Mingyi He |
| 2022 | Contextual Debiasing for Visual Recognition with Causal Mechanisms. Ruyang Liu, Hao Liu, Ge Li, Haodi Hou, Tinghao Yu, Tao Yang |
| 2022 | Contextual Instance Decoupling for Robust Multi-Person Pose Estimation. Dongkai Wang, Shiliang Zhang |
| 2022 | Contextual Outpainting with Object-Level Contrastive Learning. Jiacheng Li, Chang Chen, Zhiwei Xiong |
| 2022 | Contextual Similarity Distillation for Asymmetric Image Retrieval. Hui Wu, Min Wang, Wengang Zhou, Houqiang Li, Qi Tian |
| 2022 | Contextualized Spatio-Temporal Contrastive Learning with Self-Supervision. Liangzhe Yuan, Rui Qian, Yin Cui, Boqing Gong, Florian Schroff, Ming-Hsuan Yang, Hartwig Adam, Ting Liu |
| 2022 | Continual Learning for Visual Search with Backward Consistent Feature Embedding. Timmy S. T. Wan, Jun-Cheng Chen, Tzer-Yi Wu, Chu-Song Chen |
| 2022 | Continual Learning with Lifelong Vision Transformer. Zhen Wang, Liu Liu, Yiqun Duan, Yajing Kong, Dacheng Tao |
| 2022 | Continual Object Detection via Prototypical Task Correlation Guided Gating Mechanism. Binbin Yang, Xinchi Deng, Han Shi, Changlin Li, Gengwei Zhang, Hang Xu, Shen Zhao, Liang Lin, Xiaodan Liang |
| 2022 | Continual Predictive Learning from Videos. Geng Chen, Wendong Zhang, Han Lu, Siyu Gao, Yunbo Wang, Mingsheng Long, Xiaokang Yang |
| 2022 | Continual Stereo Matching of Continuous Driving Scenes with Growing Architecture. Chenghao Zhang, Kun Tian, Bin Fan, Gaofeng Meng, Zhaoxiang Zhang, Chunhong Pan |
| 2022 | Continual Test-Time Domain Adaptation. Qin Wang, Olga Fink, Luc Van Gool, Dengxin Dai |
| 2022 | Continuous Scene Representations for Embodied AI. Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song, Roozbeh Mottaghi |
| 2022 | Contour-Hugging Heatmaps for Landmark Detection. James McCouat, Irina Voiculescu |
| 2022 | ContrastMask: Contrastive Learning to Segment Every Thing. Xuehui Wang, Kai Zhao, Ruixin Zhang, Shouhong Ding, Yan Wang, Wei Shen |
| 2022 | Contrastive Boundary Learning for Point Cloud Segmentation. Liyao Tang, Yibing Zhan, Zhe Chen, Baosheng Yu, Dacheng Tao |
| 2022 | Contrastive Conditional Neural Processes. Zesheng Ye, Lina Yao |
| 2022 | Contrastive Dual Gating: Learning Sparse Features With Contrastive Learning. Jian Meng, Li Yang, Jinwoo Shin, Deliang Fan, Jae-sun Seo |
| 2022 | Contrastive Learning for Space-time Correspondence via Self-cycle Consistency. Jeany Son |
| 2022 | Contrastive Learning for Unsupervised Video Highlight Detection. Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng |
| 2022 | Contrastive Regression for Domain Adaptation on Gaze Estimation. Yaoming Wang, Yangzhou Jiang, Jin Li, Bingbing Ni, Wenrui Dai, Chenglin Li, Hongkai Xiong, Teng Li |
| 2022 | Contrastive Test-Time Adaptation. Dian Chen, Dequan Wang, Trevor Darrell, Sayna Ebrahimi |
| 2022 | Controllable Animation of Fluid Elements in Still Images. Aniruddha Mahapatra, Kuldeep Kulkarni |
| 2022 | Controllable Dynamic Multi-Task Architectures. Dripta S. Raychaudhuri, Yumin Suh, Samuel Schulter, Xiang Yu, Masoud Faraki, Amit K. Roy-Chowdhury, Manmohan Chandraker |
| 2022 | Convolution of Convolution: Let Kernels Spatially Collaborate. Rongzhen Zhao, Jian Li, Zhenzhi Wu |
| 2022 | Convolutions for Spatial Interaction Modeling. Zhaoen Su, Chao Wang, David Bradley, Carlos Vallespi-Gonzalez, Carl Wellington, Nemanja Djuric |
| 2022 | Coopernaut: End-to-End Driving with Cooperative Perception for Networked Vehicles. Jiaxun Cui, Hang Qiu, Dian Chen, Peter Stone, Yuke Zhu |
| 2022 | CoordGAN: Self-Supervised Dense Correspondences Emerge from GANs. Jiteng Mu, Shalini De Mello, Zhiding Yu, Nuno Vasconcelos, Xiaolong Wang, Jan Kautz, Sifei Liu |
| 2022 | Correlation Verification for Image Retrieval. Seongwon Lee, Hongje Seong, Suhyeon Lee, Euntai Kim |
| 2022 | Correlation-Aware Deep Tracking. Fei Xie, Chunyu Wang, Guangting Wang, Yue Cao, Wankou Yang, Wenjun Zeng |
| 2022 | Counterfactual Cycle-Consistent Learning for Instruction Following and Generation in Vision-Language Navigation. Hanqing Wang, Wei Liang, Jianbing Shen, Luc Van Gool, Wenguan Wang |
| 2022 | Coupled Iterative Refinement for 6D Multi-Object Pose Estimation. Lahav Lipson, Zachary Teed, Ankit Goyal, Jia Deng |
| 2022 | Coupling Vision and Proprioception for Navigation of Legged Robots. Zipeng Fu, Ashish Kumar, Ananye Agarwal, Haozhi Qi, Jitendra Malik, Deepak Pathak |
| 2022 | Crafting Better Contrastive Views for Siamese Representation Learning. Xiangyu Peng, Kai Wang, Zheng Zhu, Mang Wang, Yang You |
| 2022 | Critical Regularizations for Neural Surface Reconstruction in the Wild. Jingyang Zhang, Yao Yao, Shiwei Li, Tian Fang, David McKinnon, Yanghai Tsin, Long Quan |
| 2022 | CroMo: Cross-Modal Learning for Monocular Depth Estimation. Yannick Verdié, Jifei Song, Barnabé Mas, Benjamin Busam, Ales Leonardis, Steven McDonagh |
| 2022 | Cross Domain Object Detection by Target-Perceived Dual Branch Distillation. Mengzhe He, Yali Wang, Jiaxi Wu, Yiru Wang, Hanqing Li, Bo Li, Weihao Gan, Wei Wu, Yu Qiao |
| 2022 | Cross Modal Retrieval with Querybank Normalisation. Simion-Vlad Bogolin, Ioana Croitoru, Hailin Jin, Yang Liu, Samuel Albanie |
| 2022 | Cross-Architecture Self-supervised Video Representation Learning. Sheng Guo, Zihua Xiong, Yujie Zhong, Limin Wang, Xiaobo Guo, Bing Han, Weilin Huang |
| 2022 | Cross-Domain Adaptive Teacher for Object Detection. Yu-Jhe Li, Xiaoliang Dai, Chih-Yao Ma, Yen-Cheng Liu, Kan Chen, Bichen Wu, Zijian He, Kris Kitani, Peter Vajda |
| 2022 | Cross-Domain Correlation Distillation for Unsupervised Domain Adaptation in Nighttime Semantic Segmentation. Huan Gao, Jichang Guo, Guoli Wang, Qian Zhang |
| 2022 | Cross-Image Relational Knowledge Distillation for Semantic Segmentation. Chuanguang Yang, Helong Zhou, Zhulin An, Xue Jiang, Yongjun Xu, Qian Zhang |
| 2022 | Cross-Modal Perceptionist: Can Face Geometry be Gleaned from Voices? Cho-Ying Wu, Chin-Cheng Hsu, Ulrich Neumann |
| 2022 | Cross-Modal Transferable Adversarial Attacks from Images to Videos. Zhipeng Wei, Jingjing Chen, Zuxuan Wu, Yu-Gang Jiang |
| 2022 | Cross-Model Pseudo-Labeling for Semi-Supervised Action Recognition. Yinghao Xu, Fangyun Wei, Xiao Sun, Ceyuan Yang, Yujun Shen, Bo Dai, Bolei Zhou, Stephen Lin |
| 2022 | Cross-domain Few-shot Learning with Task-specific Adapters. Wei-Hong Li, Xialei Liu, Hakan Bilen |
| 2022 | Cross-modal Background Suppression for Audio-Visual Event Localization. Yan Xia, Zhou Zhao |
| 2022 | Cross-modal Clinical Graph Transformer for Ophthalmic Report Generation. Mingjie Li, Wenjia Cai, Karin Verspoor, Shirui Pan, Xiaodan Liang, Xiaojun Chang |
| 2022 | Cross-modal Map Learning for Vision and Language Navigation. Georgios Georgakis, Karl Schmeckpeper, Karan Wanchoo, Soham Dan, Eleni Miltsakaki, Dan Roth, Kostas Daniilidis |
| 2022 | Cross-patch Dense Contrastive Learning for Semi-supervised Segmentation of Cellular Nuclei in Histopathologic Images. Huisi Wu, Zhaoze Wang, Youyi Song, Lin Yang, Jing Qin |
| 2022 | Cross-view Transformers for real-time Map-view Semantic Segmentation. Brady Zhou, Philipp Krähenbühl |
| 2022 | CrossLoc: Scalable Aerial Localization Assisted by Multimodal Synthetic Data. Qi Yan, Jianhao Zheng, Simon Reding, Shanci Li, Iordan Doytchinov |
| 2022 | CrossPoint: Self-Supervised Cross-Modal Contrastive Learning for 3D Point Cloud Understanding. Mohamed Afham, Isuru Dissanayake, Dinithi Dissanayake, Amaya Dharmasiri, Kanchana Thilakarathna, Ranga Rodrigo |
| 2022 | Crossmodal Representation Learning for Zero-shot Action Recognition. Chung-Ching Lin, Kevin Lin, Lijuan Wang, Zicheng Liu, Linjie Li |
| 2022 | Crowd Counting in the Frequency Domain. Weibo Shu, Jia Wan, Kay Chen Tan, Sam Kwong, Antoni B. Chan |
| 2022 | Cycle-Consistent Counterfactuals by Latent Transformations. Saeed Khorram, Fuxin Li |
| 2022 | CycleMix: A Holistic Strategy for Medical Image Segmentation from Scribble Supervision. Ke Zhang, Xiahai Zhuang |
| 2022 | D-Grasp: Physically Plausible Dynamic Grasp Synthesis for Hand-Object Interactions. Sammy Joe Christen, Muhammed Kocabas, Emre Aksan, Jemin Hwangbo, Jie Song, Otmar Hilliges |
| 2022 | DAD-3DHeads: A Large-scale Dense, Accurate and Diverse Dataset for 3D Head Alignment from a Single Image. Tetiana Martyniuk, Orest Kupyn, Yana Kurlyak, Igor Krashenyi, Jiri Matas, Viktoriia Sharmanska |
| 2022 | DAFormer: Improving Network Architectures and Training Strategies for Domain-Adaptive Semantic Segmentation. Lukas Hoyer, Dengxin Dai, Luc Van Gool |
| 2022 | DAIR-V2X: A Large-Scale Dataset for Vehicle-Infrastructure Cooperative 3D Object Detection. Haibao Yu, Yizhen Luo, Mao Shu, Yiyi Huo, Zebang Yang, Yifeng Shi, Zhenglong Guo, Hanyu Li, Xing Hu, Jirui Yuan, Zaiqing Nie |
| 2022 | DASO: Distribution-Aware Semantics-Oriented Pseudo-label for Imbalanced Semi-Supervised Learning. Youngtaek Oh, Dong-Jin Kim, In So Kweon |
| 2022 | DATA: Domain-Aware and Task-Aware Self-supervised Learning. Qing Chang, Junran Peng, Lingxi Xie, Jiajun Sun, Haoran Yin, Qi Tian, Zhaoxiang Zhang |
| 2022 | DArch: Dental Arch Prior-assisted 3D Tooth Instance Segmentation with Weak Annotations. Liangdong Qiu, Chongjie Ye, Pei Chen, Yunbi Liu, Xiaoguang Han, Shuguang Cui |
| 2022 | DC-SSL: Addressing Mismatched Class Distribution in Semi-supervised Learning. Zhen Zhao, Luping Zhou, Yue Duan, Lei Wang, Lei Qi, Yinghuan Shi |
| 2022 | DECORE: Deep Compression with Reinforcement Learning. Manoj Alwani, Yang Wang, Vashisht Madhavan |
| 2022 | DEFEAT: Deep Hidden Feature Backdoor Attacks by Imperceptible Perturbation and Latent Representation Constraints. Zhendong Zhao, Xiaojun Chen, Yuexin Xuan, Ye Dong, Dakui Wang, Kaitai Liang |
| 2022 | DESTR: Object Detection with Split Transformer. Liqiang He, Sinisa Todorovic |
| 2022 | DETReg: Unsupervised Pretraining with Region Priors for Object Detection. Amir Bar, Xin Wang, Vadim Kantorov, Colorado J. Reed, Roei Herzig, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson |
| 2022 | DF-GAN: A Simple and Effective Baseline for Text-to-Image Synthesis. Ming Tao, Hao Tang, Fei Wu, Xiaoyuan Jing, Bing-Kun Bao, Changsheng Xu |
| 2022 | DGECN: A Depth-Guided Edge Convolutional Network for End-to-End 6D Pose Estimation. Tuo Cao, Fei Luo, Yanping Fu, Wenxiao Zhang, Shengjie Zheng, Chunxia Xiao |
| 2022 | DIFNet: Boosting Visual Information Flow for Image Captioning. Mingrui Wu, Xuying Zhang, Xiaoshuai Sun, Yiyi Zhou, Chao Chen, Jiaxin Gu, Xing Sun, Rongrong Ji |
| 2022 | DINE: Domain Adaptation from Single and Multiple Black-box Predictors. Jian Liang, Dapeng Hu, Jiashi Feng, Ran He |
| 2022 | DIP: Deep Inverse Patchmatch for High-Resolution Optical Flow. Zihua Zheng, Ni Nie, Zhi Ling, Pengfei Xiong, Jiangyu Liu, Hao Wang, Jiankun Li |
| 2022 | DIVeR: Real-time and Accurate Neural Radiance Fields with Deterministic Integration for Volume Rendering. Liwen Wu, Jae Yong Lee, Anand Bhattad, Yu-Xiong Wang, David A. Forsyth |
| 2022 | DLFormer: Discrete Latent Transformer for Video Inpainting. Jingjing Ren, Qingqing Zheng, Yuanyuan Zhao, Xuemiao Xu, Chen Li |
| 2022 | DN-DETR: Accelerate DETR Training by Introducing Query DeNoising. Feng Li, Hao Zhang, Shilong Liu, Jian Guo, Lionel M. Ni, Lei Zhang |
| 2022 | DO-GAN: A Double Oracle Framework for Generative Adversarial Networks. Aye Phyu Phyu Aung, Xinrun Wang, Runsheng Yu, Bo An, Senthilnath Jayavelu, Xiaoli Li |
| 2022 | DPGEN: Differentially Private Generative Energy-Guided Network for Natural Image Synthesis. Jia-Wei Chen, Chia-Mu Yu, Ching-Chia Kao, Tzai-Wei Pang, Chun-Shien Lu |
| 2022 | DPICT: Deep Progressive Image Compression Using Trit-Planes. Jae-Han Lee, Seungmin Jeon, Kwang Pyo Choi, Youngo Park, Chang-Su Kim |
| 2022 | DR.VIC: Decomposition and Reasoning for Video Individual Counting. Tao Han, Lei Bai, Junyu Gao, Qi Wang, Wanli Ouyang |
| 2022 | DST: Dynamic Substitute Training for Data-free Black-box Attack. Wenxuan Wang, Xuelin Qian, Yanwei Fu, Xiangyang Xue |
| 2022 | DTA: Physical Camouflage Attacks using Differentiable Transformation Network. Naufal Suryanto, Yongsu Kim, Hyoeun Kang, Harashta Tatimma Larasati, Youngyeo Yun, Thi-Thu-Huong Le, Hunmin Yang, Se-Yoon Oh, Howon Kim |
| 2022 | DTFD-MIL: Double-Tier Feature Distillation Multiple Instance Learning for Histopathology Whole Slide Image Classification. Hongrun Zhang, Yanda Meng, Yitian Zhao, Yihong Qiao, Xiaoyun Yang, Sarah E. Coupland, Yalin Zheng |
| 2022 | DanceTrack: Multi-Object Tracking in Uniform Appearance and Diverse Motion. Peize Sun, Jinkun Cao, Yi Jiang, Zehuan Yuan, Song Bai, Kris Kitani, Ping Luo |
| 2022 | Dancing under the stars: video denoising in starlight. Kristina Monakhova, Stephan R. Richter, Laura Waller, Vladlen Koltun |
| 2022 | Data-Free Network Compression via Parametric Non-uniform Mixed Precision Quantization. Vladimir Chikin, Mikhail Antiukh |
| 2022 | Dataset Distillation by Matching Training Trajectories. George Cazenavette, Tongzhou Wang, Antonio Torralba, Alexei A. Efros, Jun-Yan Zhu |
| 2022 | Day-to-Night Image Synthesis for Training Nighttime Neural ISPs. Abhijith Punnappurath, Abdullah Abuolaim, Abdelrahman Abdelhamed, Alex Levinshtein, Michael S. Brown |
| 2022 | De-rendering 3D Objects in the Wild. Felix Wimbauer, Shangzhe Wu, Christian Rupprecht |
| 2022 | DearKD: Data-Efficient Early Knowledge Distillation for Vision Transformers. Xianing Chen, Qiong Cao, Yujie Zhong, Jing Zhang, Shenghua Gao, Dacheng Tao |
| 2022 | Debiased Learning from Naturally Imbalanced Pseudo-Labels. Xudong Wang, Zhirong Wu, Long Lian, Stella X. Yu |
| 2022 | Deblur-NeRF: Neural Radiance Fields from Blurry Images. Li Ma, Xiaoyu Li, Jing Liao, Qi Zhang, Xuan Wang, Jue Wang, Pedro V. Sander |
| 2022 | Deblurring via Stochastic Refinement. Jay Whang, Mauricio Delbracio, Hossein Talebi, Chitwan Saharia, Alexandros G. Dimakis, Peyman Milanfar |
| 2022 | Decoupled Knowledge Distillation. Borui Zhao, Quan Cui, Renjie Song, Yiyu Qiu, Jiajun Liang |
| 2022 | Decoupled Multi-task Learning with Cyclical Self-Regulation for Face Parsing. Qingping Zheng, Jiankang Deng, Zheng Zhu, Ying Li, Stefanos Zafeiriou |
| 2022 | Decoupling Makes Weakly Supervised Local Feature Better. Kunhong Li, Longguang Wang, Li Liu, Qing Ran, Kai Xu, Yulan Guo |
| 2022 | Decoupling Zero-Shot Semantic Segmentation. Jian Ding, Nan Xue, Gui-Song Xia, Dengxin Dai |
| 2022 | Decoupling and Recoupling Spatiotemporal Representation for RGB-D-based Motion Recognition. Benjia Zhou, Pichao Wang, Jun Wan, Yanyan Liang, Fan Wang, Du Zhang, Zhen Lei, Hao Li, Rong Jin |
| 2022 | DeeCap: Dynamic Early Exiting for Efficient Image Captioning. Zhengcong Fei, Xu Yan, Shuhui Wang, Qi Tian |
| 2022 | Deep 3D-to-2D Watermarking: Embedding Messages in 3D Meshes and Extracting Them from 2D Renderings. Innfarn Yoo, Huiwen Chang, Xiyang Luo, Ondrej Stava, Ce Liu, Peyman Milanfar, Feng Yang |
| 2022 | Deep Anomaly Discovery from Unlabeled Videos via Normality Advantage and Self-Paced Refinement. Guang Yu, Siqi Wang, Zhiping Cai, Xinwang Liu, Chuanfu Xu, Chengkun Wu |
| 2022 | Deep Color Consistent Network for Low-Light Image Enhancement. Zhao Zhang, Huan Zheng, Richang Hong, Mingliang Xu, Shuicheng Yan, Meng Wang |
| 2022 | Deep Constrained Least Squares for Blind Image Super-Resolution. Ziwei Luo, Haibin Huang, Lei Yu, Youwei Li, Haoqiang Fan, Shuaicheng Liu |
| 2022 | Deep Decomposition for Stochastic Normal-Abnormal Transport. Peirong Liu, Yueh Z. Lee, Stephen R. Aylward, Marc Niethammer |
| 2022 | Deep Depth from Focus with Differential Focus Volume. Fengting Yang, Xiaolei Huang, Zihan Zhou |
| 2022 | Deep Equilibrium Optical Flow Estimation. Shaojie Bai, Zhengyang Geng, Yash Savani, J. Zico Kolter |
| 2022 | Deep Generalized Unfolding Networks for Image Restoration. Chong Mou, Qian Wang, Jian Zhang |
| 2022 | Deep Hierarchical Semantic Segmentation. Liulei Li, Tianfei Zhou, Wenguan Wang, Jianwu Li, Yi Yang |
| 2022 | Deep Hybrid Models for Out-of-Distribution Detection. Senqi Cao, Zhongfei Zhang |
| 2022 | Deep Hyperspectral-Depth Reconstruction Using Single Color-Dot Projection. Chunyu Li, Yusuke Monno, Masatoshi Okutomi |
| 2022 | Deep Image-based Illumination Harmonization. Zhongyun Bao, Chengjiang Long, Gang Fu, Daquan Liu, Yuanzhen Li, Jiaming Wu, Chunxia Xiao |
| 2022 | Deep Rectangling for Image Stitching: A Learning Baseline. Lang Nie, Chunyu Lin, Kang Liao, Shuaicheng Liu, Yao Zhao |
| 2022 | Deep Safe Multi-view Clustering: Reducing the Risk of Clustering Performance Degradation Caused by View Increase. Huayi Tang, Yong Liu |
| 2022 | Deep Saliency Prior for Reducing Visual Distraction. Kfir Aberman, Junfeng He, Yossi Gandelsman, Inbar Mosseri, David E. Jacobs, Kai Kohlhoff, Yael Pritch, Michael Rubinstein |
| 2022 | Deep Spectral Methods: A Surprisingly Strong Baseline for Unsupervised Semantic Segmentation and Localization. Luke Melas-Kyriazi, Christian Rupprecht, Iro Laina, Andrea Vedaldi |
| 2022 | Deep Stereo Image Compression via Bi-directional Coding. Jianjun Lei, Xiangrui Liu, Bo Peng, Dengchao Jin, Wanqing Li, Jingxiao Gu |
| 2022 | Deep Unlearning via Randomized Conditionally Independent Hessians. Ronak Mehta, Sourav Pal, Vikas Singh, Sathya N. Ravi |
| 2022 | Deep Visual Geo-localization Benchmark. Gabriele Moreno Berton, Riccardo Mereu, Gabriele Trivigno, Carlo Masone, Gabriela Csurka, Torsten Sattler, Barbara Caputo |
| 2022 | Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching. Nicolas Donati, Etienne Corman, Maks Ovsjanikov |
| 2022 | Deep vanishing point detection: Geometric priors make dataset variations vanish. Yancong Lin, Ruben Wiersma, Silvia L. Pintea, Klaus Hildebrandt, Elmar Eisemann, Jan C. van Gemert |
| 2022 | DeepCurrents: Learning Implicit Representations of Shapes with Boundaries. David R. Palmer, Dmitriy Smirnov, Stephanie Wang, Albert Chern, Justin Solomon |
| 2022 | DeepDPM: Deep Clustering With an Unknown Number of Clusters. Meitar Ronen, Shahaf E. Finder, Oren Freifeld |
| 2022 | DeepFace-EMD: Re-ranking Using Patch-wise Earth Mover's Distance Improves Out-Of-Distribution Face Identification. Hai Phan, Anh Nguyen |
| 2022 | DeepFake Disrupter: The Detector of DeepFake Is My Friend. Xueyu Wang, Jiajun Huang, Siqi Ma, Surya Nepal, Chang Xu |
| 2022 | DeepFusion: Lidar-Camera Deep Fusion for Multi-Modal 3D Object Detection. Yingwei Li, Adams Wei Yu, Tianjian Meng, Benjamin Caine, Jiquan Ngiam, Daiyi Peng, Junyang Shen, Yifeng Lu, Denny Zhou, Quoc V. Le, Alan L. Yuille, Mingxing Tan |
| 2022 | DeepLIIF: An Online Platform for Quantification of Clinical Pathology Slides. Parmida Ghahremani, Joseph Marino, Ricardo Dodds, Saad Nadeem |
| 2022 | Defensive Patches for Robust Recognition in the Physical World. Jiakai Wang, Zixin Yin, Pengfei Hu, Aishan Liu, Renshuai Tao, Haotong Qin, Xianglong Liu, Dacheng Tao |
| 2022 | Deformable ProtoPNet: An Interpretable Image Classifier Using Deformable Prototypes. Jon Donnelly, Alina Jade Barnett, Chaofan Chen |
| 2022 | Deformable Sprites for Unsupervised Video Decomposition. Vickie Ye, Zhengqi Li, Richard Tucker, Angjoo Kanazawa, Noah Snavely |
| 2022 | Deformable Video Transformer. Jue Wang, Lorenzo Torresani |
| 2022 | Deformation and Correspondence Aware Unsupervised Synthetic-to-Real Scene Flow Estimation for Point Clouds. Zhao Jin, Yinjie Lei, Naveed Akhtar, Haifeng Li, Munawar Hayat |
| 2022 | Degradation-agnostic Correspondence from Resolution-asymmetric Stereo. Xihao Chen, Zhiwei Xiong, Zhen Cheng, Jiayong Peng, Yueyi Zhang, Zheng-Jun Zha |
| 2022 | Degree-of-linear-polarization-based Color Constancy. Taishi Ono, Yuhi Kondo, Legong Sun, Teppei Kurita, Yusuke Moriuchi |
| 2022 | DeltaCNN: End-to-End CNN Inference of Sparse Frame Differences in Videos. Mathias Parger, Chengcheng Tang, Christopher D. Twigg, Cem Keskin, Robert Wang, Markus Steinberger |
| 2022 | Delving Deep into the Generalization of Vision Transformers under Distribution Shifts. Chongzhi Zhang, Mingyuan Zhang, Shanghang Zhang, Daisheng Jin, Qiang Zhou, Zhongang Cai, Haiyu Zhao, Xianglong Liu, Ziwei Liu |
| 2022 | Delving into the Estimation Shift of Batch Normalization in a Network. Lei Huang, Yi Zhou, Tian Wang, Jie Luo, Xianglong Liu |
| 2022 | Democracy Does Matter: Comprehensive Feature Mining for Co-Salient Object Detection. Siyue Yu, Jimin Xiao, Bingfeng Zhang, Eng Gee Lim |
| 2022 | Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon |
| 2022 | Dense Depth Priors for Neural Radiance Fields from Sparse Input Views. Barbara Roessle, Jonathan T. Barron, Ben Mildenhall, Pratul P. Srinivasan, Matthias Nießner |
| 2022 | Dense Learning based Semi-Supervised Object Detection. Binghui Chen, Pengyu Li, Xiang Chen, Biao Wang, Lei Zhang, Xian-Sheng Hua |
| 2022 | DenseCLIP: Language-Guided Dense Prediction with Context-Aware Prompting. Yongming Rao, Wenliang Zhao, Guangyi Chen, Yansong Tang, Zheng Zhu, Guan Huang, Jie Zhou, Jiwen Lu |
| 2022 | Density-preserving Deep Point Cloud Compression. Yun He, Xinlin Ren, Danhang Tang, Yinda Zhang, Xiangyang Xue, Yanwei Fu |
| 2022 | Depth Estimation by Combining Binocular Stereo and Monocular Structured-Light. Yuhua Xu, Xiaoli Yang, Yushan Yu, Wei Jia, Zhaobi Chu, Yulan Guo |
| 2022 | Depth-Aware Generative Adversarial Network for Talking Head Video Generation. Fa-Ting Hong, Longhao Zhang, Li Shen, Dan Xu |
| 2022 | Depth-Guided Sparse Structure-from-Motion for Movies and TV Shows. Sheng Liu, Xiaohan Nie, Raffay Hamid |
| 2022 | Depth-supervised NeRF: Fewer Views and Faster Training for Free. Kangle Deng, Andrew Liu, Jun-Yan Zhu, Deva Ramanan |
| 2022 | Details or Artifacts: A Locally Discriminative Learning Approach to Realistic Image Super-Resolution. Jie Liang, Hui Zeng, Lei Zhang |
| 2022 | Detecting Camouflaged Object in Frequency Domain. Yijie Zhong, Bo Li, Lv Tang, Senyun Kuang, Shuang Wu, Shouhong Ding |
| 2022 | Detecting Deepfakes with Self-Blended Images. Kaede Shiohara, Toshihiko Yamasaki |
| 2022 | Detector-Free Weakly Supervised Group Activity Recognition. Dongkeun Kim, Jinsung Lee, Minsu Cho, Suha Kwak |
| 2022 | DetectorDetective: Investigating the Effects of Adversarial Examples on Object Detectors. Sivapriya Vellaichamy, Matthew Hull, Zijie J. Wang, Nilaksh Das, Sheng-Yun Peng, Haekyu Park, Duen Horng (Polo) Chau |
| 2022 | Deterministic Point Cloud Registration via Novel Transformation Decomposition. Wen Chen, Haoang Li, Qiang Nie, Yun-Hui Liu |
| 2022 | DiGS : Divergence guided shape implicit neural representation for unoriented point clouds. Yizhak Ben-Shabat, Chamin Hewa Koneputugodage, Stephen Gould |
| 2022 | DiLiGenT10 Jieji Ren, Feishi Wang, Jiahao Zhang, Qian Zheng, Mingjun Ren, Boxin Shi |
| 2022 | DiRA: Discriminative, Restorative, and Adversarial Learning for Self-supervised Medical Image Analysis. Fatemeh Haghighi, Mohammad Reza Hosseinzadeh Taher, Michael B. Gotway, Jianming Liang |
| 2022 | DiSparse: Disentangled Sparsification for Multitask Model Compression. Xinglong Sun, Ali Hassani, Zhangyang Wang, Gao Huang, Humphrey Shi |
| 2022 | DiffPoseNet: Direct Differentiable Camera Pose Estimation. Chethan M. Parameshwara, Gokul Hari, Cornelia Fermüller, Nitin J. Sanket, Yiannis Aloimonos |
| 2022 | Differentiable Dynamics for Articulated 3d Human Motion Reconstruction. Erik Gärtner, Mykhaylo Andriluka, Erwin Coumans, Cristian Sminchisescu |
| 2022 | Differentiable Stereopsis: Meshes from multiple views using differentiable rendering. Shubham Goel, Georgia Gkioxari, Jitendra Malik |
| 2022 | Differentially Private Federated Learning with Local Regularization and Sparsification. Anda Cheng, Peisong Wang, Xi Sheryl Zhang, Jian Cheng |
| 2022 | Diffusion Autoencoders: Toward a Meaningful and Decodable Representation. Konpat Preechakul, Nattanat Chatthee, Suttisak Wizadwongsa, Supasorn Suwajanakorn |
| 2022 | DiffusionCLIP: Text-Guided Diffusion Models for Robust Image Manipulation. Gwanghyun Kim, Taesung Kwon, Jong Chul Ye |
| 2022 | Dimension Embeddings for Monocular 3D Object Detection. Yunpeng Zhang, Wenzhao Zheng, Zheng Zhu, Guan Huang, Dalong Du, Jie Zhou, Jiwen Lu |
| 2022 | DirecFormer: A Directed Attention in Transformer Approach to Robust Action Recognition. Thanh-Dat Truong, Quoc-Huy Bui, Chi Nhan Duong, Han-Seok Seo, Son Lam Phung, Xin Li, Khoa Luu |
| 2022 | Direct Voxel Grid Optimization: Super-fast Convergence for Radiance Fields Reconstruction. Cheng Sun, Min Sun, Hwann-Tzong Chen |
| 2022 | Directional Self-supervised Learning for Heavy Image Augmentations. Yalong Bai, Yifan Yang, Wei Zhang, Tao Mei |
| 2022 | DisARM: Displacement Aware Relation Module for 3D Detection. Yao Duan, Chenyang Zhu, Yuqing Lan, Renjiao Yi, Xinwang Liu, Kai Xu |
| 2022 | Discovering Objects that Can Move. Zhipeng Bao, Pavel Tokmakov, Allan Jabri, Yu-Xiong Wang, Adrien Gaidon, Martial Hebert |
| 2022 | Discrete Cosine Transform Network for Guided Depth Map Super-Resolution. Zixiang Zhao, Jiangshe Zhang, Shuang Xu, Zudi Lin, Hanspeter Pfister |
| 2022 | Discrete time convolution for fast event-based stereo. Kaixuan Zhang, Kaiwei Che, Jianguo Zhang, Jie Cheng, Ziyang Zhang, Qinghai Guo, Luziwei Leng |
| 2022 | Disentangled3D: Learning a 3D Generative Model with Disentangled Geometry and Appearance from Monocular Images. Ayush Tewari, Mallikarjun B. R., Xingang Pan, Ohad Fried, Maneesh Agrawala, Christian Theobalt |
| 2022 | Disentangling Visual Embeddings for Attributes and Objects. Nirat Saini, Khoi Pham, Abhinav Shrivastava |
| 2022 | Disentangling visual and written concepts in CLIP. Joanna Materzynska, Antonio Torralba, David Bau |
| 2022 | Dist-PU: Positive-Unlabeled Learning from a Label Distribution Perspective. Yunrui Zhao, Qianqian Xu, Yangbangyan Jiang, Peisong Wen, Qingming Huang |
| 2022 | Distillation Using Oracle Queries for Transformer-based Human-Object Interaction Detection. Xian Qu, Changxing Ding, Xingao Li, Xubin Zhong, Dacheng Tao |
| 2022 | Distinguishing Unseen from Seen for Generalized Zero-shot Learning. Hongzu Su, Jingjing Li, Zhi Chen, Lei Zhu, Ke Lu |
| 2022 | Distribution Consistent Neural Architecture Search. Junyi Pan, Chong Sun, Yizhou Zhou, Ying Zhang, Chen Li |
| 2022 | Distribution-Aware Single-Stage Models for Multi-Person 3D Pose Estimation. Zitian Wang, Xuecheng Nie, Xiaochao Qu, Yunpeng Chen, Si Liu |
| 2022 | Ditto: Building Digital Twins of Articulated Objects from Interaction. Zhenyu Jiang, Cheng-Chun Hsu, Yuke Zhu |
| 2022 | Diverse Plausible 360-Degree Image Outpainting for Efficient 3DCG Background Creation. Naofumi Akimoto, Yuhi Matsuo, Yoshimitsu Aoki |
| 2022 | Diversity Matters: Fully Exploiting Depth Clues for Reliable Monocular 3D Object Detection. Zhuoling Li, Zhan Qu, Yang Zhou, Jianzhuang Liu, Haoqian Wang, Lihui Jiang |
| 2022 | Divide and Conquer: Compositional Experts for Generalized Novel Class Discovery. Muli Yang, Yuehua Zhu, Jiaping Yu, Aming Wu, Cheng Deng |
| 2022 | Do Explanations Explain? Model Knows Best. Ashkan Khakzar, Pedram Khorsandi, Rozhin Nobahari, Nassir Navab |
| 2022 | Do learned representations respect causal relationships? Lan Wang, Vishnu Naresh Boddeti |
| 2022 | Does Robustness on ImageNet Transfer to Downstream Tasks? Yutaro Yamada, Mayu Otani |
| 2022 | Does text attract attention on e-commerce images: A novel saliency prediction dataset and method. Lai Jiang, Yifei Li, Shengxi Li, Mai Xu, Se Lei, Yichen Guo, Bo Huang |
| 2022 | Domain Adaptation on Point Clouds via Geometry-Aware Implicits. Yuefan Shen, Yanchao Yang, Mi Yan, He Wang, Youyi Zheng, Leonidas J. Guibas |
| 2022 | Domain Generalization via Shuffled Style Assembly for Face Anti-Spoofing. Zhuo Wang, Zezheng Wang, Zitong Yu, Weihong Deng, Jiahong Li, Tingting Gao, Zhongyuan Wang |
| 2022 | Domain-Agnostic Prior for Transfer Semantic Segmentation. Xinyue Huo, Lingxi Xie, Hengtong Hu, Wengang Zhou, Houqiang Li, Qi Tian |
| 2022 | Doodle It Yourself: Class Incremental Learning by Drawing a Few Sketches. Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Subhadeep Koley, Rohit Kundu, Aneeshan Sain, Tao Xiang, Yi-Zhe Song |
| 2022 | DoubleField: Bridging the Neural Surface and Radiance Fields for High-fidelity Human Reconstruction and Rendering. Ruizhi Shao, Hongwen Zhang, He Zhang, Mingjia Chen, Yanpei Cao, Tao Yu, Yebin Liu |
| 2022 | Dreaming to Prune Image Deraining Networks. Weiqi Zou, Yang Wang, Xueyang Fu, Yang Cao |
| 2022 | Dressing in the Wild by Watching Dance Videos. Xin Dong, Fuwei Zhao, Zhenyu Xie, Xijin Zhang, Daniel K. Du, Min Zheng, Xiang Long, Xiaodan Liang, Jianchao Yang |
| 2022 | Drop the GAN: In Defense of Patches Nearest Neighbors as Single Image Generative Models. Niv Granot, Ben Feinstein, Assaf Shocher, Shai Bagon, Michal Irani |
| 2022 | Dual Adversarial Adaptation for Cross-Device Real-World Image Super-Resolution. Xiaoqian Xu, Pengxu Wei, Weikai Chen, Yang Liu, Mingzhi Mao, Liang Lin, Guanbin Li |
| 2022 | Dual Cross-Attention Learning for Fine-Grained Visual Categorization and Object Re-Identification. Haowei Zhu, Wenjing Ke, Dong Li, Ji Liu, Lu Tian, Yi Shan |
| 2022 | Dual Task Learning by Leveraging Both Dense Correspondence and Mis-Correspondence for Robust Change Detection With Imperfect Matches. Jin-Man Park, Ue-Hwan Kim, Seon-Hoon Lee, Jong-Hwan Kim |
| 2022 | Dual Temperature Helps Contrastive Learning Without Many Negative Samples: Towards Understanding and Simplifying MoCo. Chaoning Zhang, Kang Zhang, Trung X. Pham, Axi Niu, Zhinan Qiao, Chang D. Yoo, In So Kweon |
| 2022 | Dual-AI: Dual-path Actor Interaction Learning for Group Activity Recognition. Mingfei Han, David Junhao Zhang, Yali Wang, Rui Yan, Lina Yao, Xiaojun Chang, Yu Qiao |
| 2022 | Dual-Generator Face Reenactment. Gee-Sern Hsu, Chun-Hung Tsai, Hung-Yi Wu |
| 2022 | Dual-Key Multimodal Backdoors for Visual Question Answering. Matthew Walmer, Karan Sikka, Indranil Sur, Abhinav Shrivastava, Susmit Jha |
| 2022 | Dual-Shutter Optical Vibration Sensing. Mark Sheinin, Dorian Chan, Matthew O'Toole, Srinivasa G. Narasimhan |
| 2022 | Dual-path Image Inpainting with Auxiliary GAN Inversion. Wentao Wang, Li Niu, Jianfu Zhang, Xue Yang, Liqing Zhang |
| 2022 | DyRep: Bootstrapping Training with Dynamic Re-parameterization. Tao Huang, Shan You, Bohan Zhang, Yuxuan Du, Fei Wang, Chen Qian, Chang Xu |
| 2022 | DyTox: Transformers for Continual Learning with DYnamic TOken eXpansion. Arthur Douillard, Alexandre Ramé, Guillaume Couairon, Matthieu Cord |
| 2022 | Dynamic 3D Gaze from Afar: Deep Gaze Estimation from Temporal Eye-Head-Body Coordination. Soma Nonaka, Shohei Nobuhara, Ko Nishino |
| 2022 | Dynamic Dual-Output Diffusion Models. Yaniv Benny, Lior Wolf |
| 2022 | Dynamic Kernel Selection for Improved Generalization and Memory Efficiency in Meta-learning. Arnav Chavan, Rishabh Tiwari, Udbhav Bamba, Deepak K. Gupta |
| 2022 | Dynamic MLP for Fine-Grained Image Classification by Leveraging Geographical and Temporal Information. Lingfeng Yang, Xiang Li, Renjie Song, Borui Zhao, Juntian Tao, Shihao Zhou, Jiajun Liang, Jian Yang |
| 2022 | Dynamic Prototype Convolution Network for Few-Shot Semantic Segmentation. Jie Liu, Yanqi Bao, Guo-Sen Xie, Huan Xiong, Jan-Jakob Sonke, Efstratios Gavves |
| 2022 | Dynamic Scene Graph Generation via Anticipatory Pre-training. Yiming Li, Xiaoshan Yang, Changsheng Xu |
| 2022 | Dynamic Sparse R-CNN. Qinghang Hong, Fengming Liu, Dong Li, Ji Liu, Lu Tian, Yi Shan |
| 2022 | DynamicEarthNet: Daily Multi-Spectral Satellite Dataset for Semantic Change Segmentation. Aysim Toker, Lukas Kondmann, Mark Weber, Marvin Eisenberger, Andrés Camero, Jingliang Hu, Ariadna Pregel Hoderlein, Çaglar Senaras, Timothy Davis, Daniel Cremers, Giovanni Marchisio, Xiao Xiang Zhu, Laura Leal-Taixé |
| 2022 | E Chiara Plizzari, Mirco Planamente, Gabriele Goletto, Marco Cannici, Emanuele Gusso, Matteo Matteucci, Barbara Caputo |
| 2022 | E-CIR: Event-Enhanced Continuous Intensity Recovery. Chen Song, Qixing Huang, Chandrajit Bajaj |
| 2022 | E2EC: An End-to-End Contour-based Method for High-Quality High-Speed Instance Segmentation. Tao Zhang, Shiqing Wei, Shunping Ji |
| 2022 | EASE: Unsupervised Discriminant Subspace Learning for Transductive Few-Shot Learning. Hao Zhu, Piotr Koniusz |
| 2022 | EDTER: Edge Detection with Transformer. Mengyang Pu, Yaping Huang, Yuming Liu, Qingji Guan, Haibin Ling |
| 2022 | EI-CLIP: Entity-aware Interventional Contrastive Learning for E-commerce Cross-modal Retrieval. Haoyu Ma, Handong Zhao, Zhe Lin, Ajinkya Kale, Zhangyang Wang, Tong Yu, Jiuxiang Gu, Sunav Choudhary, Xiaohui Xie |
| 2022 | ELIC: Efficient Learned Image Compression with Unevenly Grouped Space-Channel Contextual Adaptive Coding. Dailan He, Ziming Yang, Weikun Peng, Rui Ma, Hongwei Qin, Yan Wang |
| 2022 | ELSR: Efficient Line Segment Reconstruction with Planes and Points Guidance. Dong Wei, Yi Wan, Yongjun Zhang, Xinyi Liu, Bin Zhang, Xiqi Wang |
| 2022 | EMOCA: Emotion Driven Monocular Face Capture and Animation. Radek Danecek, Michael J. Black, Timo Bolkart |
| 2022 | EMScore: Evaluating Video Captioning via Coarse-Grained and Fine-Grained Embedding Matching. Yaya Shi, Xu Yang, Haiyang Xu, Chunfeng Yuan, Bing Li, Weiming Hu, Zheng-Jun Zha |
| 2022 | EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation. Hansheng Chen, Pichao Wang, Fan Wang, Wei Tian, Lu Xiong, Hao Li |
| 2022 | ES6D: A Computation Efficient and Symmetry-Aware 6D Pose Regression Framework. Ningkai Mo, Wanshui Gan, Naoto Yokoya, Shifeng Chen |
| 2022 | ESCNet: Gaze Target Detection with the Understanding of 3D Scenes. Jun Bao, Buyu Liu, Jun Yu |
| 2022 | ETHSeg: An Amodel Instance Segmentation Network and a Real-world Dataset for X-Ray Waste Inspection. Lingteng Qiu, Zhangyang Xiong, Xuhao Wang, Kenkun Liu, Yihan Li, Guanying Chen, Xiaoguang Han, Shuguang Cui |
| 2022 | Effective conditioned and composed image retrieval combining CLIP-based features. Alberto Baldrati, Marco Bertini, Tiberio Uricchio, Alberto Del Bimbo |
| 2022 | Efficient Classification of Very Large Images with Tiny Objects. Fanjie Kong, Ricardo Henao |
| 2022 | Efficient Deep Embedded Subspace Clustering. Jinyu Cai, Jicong Fan, Wenzhong Guo, Shiping Wang, Yunhe Zhang, Zhao Zhang |
| 2022 | Efficient Geometry-aware 3D Generative Adversarial Networks. Eric R. Chan, Connor Z. Lin, Matthew A. Chan, Koki Nagano, Boxiao Pan, Shalini De Mello, Orazio Gallo, Leonidas J. Guibas, Jonathan Tremblay, Sameh Khamis, Tero Karras, Gordon Wetzstein |
| 2022 | Efficient Large-scale Localization by Global Instance Recognition. Fei Xue, Ignas Budvytis, Daniel Olmeda Reino, Roberto Cipolla |
| 2022 | Efficient Maximal Coding Rate Reduction by Variational Forms. Christina Baek, Ziyang Wu, Kwan Ho Ryan Chan, Tianjiao Ding, Yi Ma, Benjamin D. Haeffele |
| 2022 | Efficient Multi-view Stereo by Iterative Dynamic Cost Volume. Shaoqian Wang, Bo Li, Yuchao Dai |
| 2022 | Efficient Two-Stage Detection of Human-Object Interactions with a Novel Unary-Pairwise Transformer. Frederic Z. Zhang, Dylan Campbell, Stephen Gould |
| 2022 | Efficient Video Instance Segmentation via Tracklet Query and Proposal. Jialian Wu, Sudhir Yarram, Hui Liang, Tian Lan, Junsong Yuan, Jayan Eledath, Gérard G. Medioni |
| 2022 | EfficientNeRF - Efficient Neural Radiance Fields. Tao Hu, Shu Liu, Yilun Chen, Tiancheng Shen, Jiaya Jia |
| 2022 | Ego4D: Around the World in 3, 000 Hours of Egocentric Video. Kristen Grauman, Andrew Westbury, Eugene Byrne, Zachary Chavis, Antonino Furnari, Rohit Girdhar, Jackson Hamburger, Hao Jiang, Miao Liu, Xingyu Liu, Miguel Martin, Tushar Nagarajan, Ilija Radosavovic, Santhosh Kumar Ramakrishnan, Fiona Ryan, Jayant Sharma, Michael Wray, Mengmeng Xu, Eric Zhongcong Xu, Chen Zhao, Siddhant Bansal, Dhruv Batra, Vincent Cartillier, Sean Crane, Tien Do, Morrie Doulaty, Akshay Erapalli, Christoph Feichtenhofer, Adriano Fragomeni, Qichen Fu, Abrham Gebreselasie, Cristina González, James Hillis, Xuhua Huang, Yifei Huang, Wenqi Jia, Weslie Khoo, Jáchym Kolár, Satwik Kottur, Anurag Kumar, Federico Landini, Chao Li, Yanghao Li, Zhenqiang Li, Karttikeya Mangalam, Raghava Modhugu, Jonathan Munro, Tullie Murrell, Takumi Nishiyasu, Will Price, Paola Ruiz Puentes, Merey Ramazanova, Leda Sari, Kiran K. Somasundaram, Audrey Southerland, Yusuke Sugano, Ruijie Tao, Minh Vo, Yuchen Wang, Xindi Wu, Takuma Yagi, Ziwei Zhao, Yunyi Zhu, Pablo Arbeláez, David Crandall, Dima Damen, Giovanni Maria Farinella, Christian Fuegen, Bernard Ghanem, Vamsi Krishna Ithapu, C. V. Jawahar, Hanbyul Joo, Kris Kitani, Haizhou Li, Richard A. Newcombe, Aude Oliva, Hyun Soo Park, James M. Rehg, Yoichi Sato, Jianbo Shi, Mike Zheng Shou, Antonio Torralba, Lorenzo Torresani, Mingfei Yan, Jitendra Malik |
| 2022 | Egocentric Deep Multi-Channel Audio-Visual Active Speaker Localization. Hao Jiang, Calvin Murdock, Vamsi Krishna Ithapu |
| 2022 | Egocentric Prediction of Action Target in 3D. Yiming Li, Ziang Cao, Andrew Liang, Benjamin Liang, Luoyao Chen, Hang Zhao, Chen Feng |
| 2022 | Egocentric Scene Understanding via Multimodal Spatial Rectifier. Tien Do, Khiem Vuong, Hyun Soo Park |
| 2022 | Eigencontours: Novel Contour Descriptors Based on Low-Rank Approximation. Wonhui Park, Dongkwon Jin, Chang-Su Kim |
| 2022 | Eigenlanes: Data-Driven Lane Descriptors for Structurally Diverse Lanes. Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Heeyeon Kwon, Chang-Su Kim |
| 2022 | ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses. Bastian Wandt, James J. Little, Helge Rhodin |
| 2022 | Embracing Single Stride 3D Object Detector with Sparse Transformer. Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang |
| 2022 | En-Compactness: Self-Distillation Embedding & Contrastive Generation for Generalized Zero-Shot Learning. Xia Kong, Zuodong Gao, Xiaofan Li, Ming Hong, Jun Liu, Chengjie Wang, Yuan Xie, Yanyun Qu |
| 2022 | Enabling Equivariance for Arbitrary Lie Groups. Lachlan E. MacDonald, Sameera Ramasinghe, Simon Lucey |
| 2022 | End-to-End Compressed Video Representation Learning for Generic Event Boundary Detection. Congcong Li, Xinyao Wang, Longyin Wen, Dexiang Hong, Tiejian Luo, Libo Zhang |
| 2022 | End-to-End Human-Gaze-Target Detection with Transformers. Danyang Tu, Xiongkuo Min, Huiyu Duan, Guodong Guo, Guangtao Zhai, Wei Shen |
| 2022 | End-to-End Multi-Person Pose Estimation with Transformers. Dahu Shi, Xing Wei, Liangqi Li, Ye Ren, Wenming Tan |
| 2022 | End-to-End Reconstruction-Classification Learning for Face Forgery Detection. Junyi Cao, Chao Ma, Taiping Yao, Shen Chen, Shouhong Ding, Xiaokang Yang |
| 2022 | End-to-End Referring Video Object Segmentation with Multimodal Transformers. Adam Botach, Evgenii Zheltonozhskii, Chaim Baskin |
| 2022 | End-to-End Semi-Supervised Learning for Video Action Detection. Akash Kumar, Yogesh Singh Rawat |
| 2022 | End-to-End Trajectory Distribution Prediction Based on Occupancy Grid Maps. Ke Guo, Wenxi Liu, Jia Pan |
| 2022 | End-to-end Generative Pretraining for Multimodal Video Captioning. Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab, Cordelia Schmid |
| 2022 | Energy-based Latent Aligner for Incremental Learning. K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Rao Muhammad Anwer, Vineeth N. Balasubramanian |
| 2022 | Enhancing Adversarial Robustness for Deep Metric Learning. Mo Zhou, Vishal M. Patel |
| 2022 | Enhancing Adversarial Training with Second-Order Statistics of Weights. Gaojie Jin, Xinping Yi, Wei Huang, Sven Schewe, Xiaowei Huang |
| 2022 | Enhancing Classifier Conservativeness and Robustness by Polynomiality. Ziqi Wang, Marco Loog |
| 2022 | Enhancing Face Recognition with Self-Supervised 3D Reconstruction. Mingjie He, Jie Zhang, Shiguang Shan, Xilin Chen |
| 2022 | Ensembling Off-the-shelf Models for GAN Training. Nupur Kumari, Richard Zhang, Eli Shechtman, Jun-Yan Zhu |
| 2022 | Entropy-based Active Learning for Object Detection with Progressive Diversity Constraint. Jiaxi Wu, Jiaxin Chen, Di Huang |
| 2022 | Envedit: Environment Editing for Vision-and-Language Navigation. Jialu Li, Hao Tan, Mohit Bansal |
| 2022 | Episodic Memory Question Answering. Samyak Datta, Sameer Dharur, Vincent Cartillier, Ruta Desai, Mukul Khanna, Dhruv Batra, Devi Parikh |
| 2022 | Equalized Focal Loss for Dense Long-Tailed Object Detection. Bo Li, Yongqiang Yao, Jingru Tan, Gang Zhang, Fengwei Yu, Jianwei Lu, Ye Luo |
| 2022 | Equivariance Allows Handling Multiple Nuisance Variables When Analyzing Pooled Neuroimaging Datasets. Vishnu Suresh Lokhande, Rudrasis Chakraborty, Sathya N. Ravi, Vikas Singh |
| 2022 | Equivariant Point Cloud Analysis via Learning Orientations for Message Passing. Shitong Luo, Jiahan Li, Jiaqi Guan, Yufeng Su, Chaoran Cheng, Jian Peng, Jianzhu Ma |
| 2022 | Escaping Data Scarcity for High-Resolution Heterogeneous Face Hallucination. Yiqun Mei, Pengfei Guo, Vishal M. Patel |
| 2022 | Estimating Egocentric 3D Human Pose in the Wild with External Weak Supervision. Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Diogo C. Luvizon, Christian Theobalt |
| 2022 | Estimating Example Difficulty using Variance of Gradients. Chirag Agarwal, Daniel D'souza, Sara Hooker |
| 2022 | Estimating Fine-Grained Noise Model via Contrastive Learning. Yunhao Zou, Ying Fu |
| 2022 | Estimating Structural Disparities for Face Models. Shervin Ardeshir, Cristina Segalin, Nathan Kallus |
| 2022 | Ev-TTA: Test-Time Adaptation for Event-Based Object Recognition. Junho Kim, Inwoo Hwang, Young Min Kim |
| 2022 | EvUnroll: Neuromorphic Events based Rolling Shutter Image Correction. Xinyu Zhou, Peiqi Duan, Yi Ma, Boxin Shi |
| 2022 | Evading the Simplicity Bias: Training a Diverse Set of Models Discovers Solutions with Superior OOD Generalization. Damien Teney, Ehsan Abbasnejad, Simon Lucey, Anton van den Hengel |
| 2022 | Evaluation-oriented Knowledge Distillation for Deep Face Recognition. Yuge Huang, Jiaxiang Wu, Xingkun Xu, Shouhong Ding |
| 2022 | Event-aided Direct Sparse Odometry. Javier Hidalgo-Carrió, Guillermo Gallego, Davide Scaramuzza |
| 2022 | Event-based Video Reconstruction via Potential-assisted Spiking Neural Network. Lin Zhu, Xiao Wang, Yi Chang, Jianing Li, Tiejun Huang, Yonghong Tian |
| 2022 | Everything at Once - Multi-modal Fusion Transformer for Video Retrieval. Nina Shvetsova, Brian Chen, Andrew Rouditchenko, Samuel Thomas, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Hilde Kuehne |
| 2022 | Exact Feature Distribution Matching for Arbitrary Style Transfer and Domain Generalization. Yabin Zhang, Minghan Li, Ruihuang Li, Kui Jia, Lei Zhang |
| 2022 | Exemplar-based Pattern Synthesis with Implicit Periodic Field Network. Haiwei Chen, Jiayi Liu, Weikai Chen, Shichen Liu, Yajie Zhao |
| 2022 | Expanding Large Pre-trained Unimodal Models with Multimodal Information Injection for Image-Text Multimodal Classification. Tao Liang, Guosheng Lin, Mingyang Wan, Tianrui Li, Guojun Ma, Fengmao Lv |
| 2022 | Expanding Low-Density Latent Regions for Open-Set Object Detection. Jiaming Han, Yuqiang Ren, Jian Ding, Xingjia Pan, Ke Yan, Gui-Song Xia |
| 2022 | Explaining Deep Convolutional Neural Networks via Latent Visual-Semantic Filter Attention. Yu Yang, Seungbae Kim, Jungseock Joo |
| 2022 | Exploiting Explainable Metrics for Augmented SGD. Mahdi S. Hosseini, Mathieu Tuli, Konstantinos N. Plataniotis |
| 2022 | Exploiting Pseudo Labels in a Self-Supervised Learning Framework for Improved Monocular Depth Estimation. Andra Petrovai, Sergiu Nedevschi |
| 2022 | Exploiting Rigidity Constraints for LiDAR Scene Flow Estimation. Guanting Dong, Yueyi Zhang, Hanlin Li, Xiaoyan Sun, Zhiwei Xiong |
| 2022 | Exploiting Temporal Relations on Radar Perception for Autonomous Driving. Peizhao Li, Pu Wang, Karl Berntorp, Hongfu Liu |
| 2022 | Explore Spatio-temporal Aggregation for Insubstantial Object Detection: Benchmark Dataset and Baseline. Kailai Zhou, Yibo Wang, Tao Lv, Yunqian Li, Linsen Chen, Qiu Shen, Xun Cao |
| 2022 | Exploring Denoised Cross-video Contrast for Weakly-supervised Temporal Action Localization. Jingjing Li, Tianyu Yang, Wei Ji, Jue Wang, Li Cheng |
| 2022 | Exploring Domain-Invariant Parameters for Source Free Domain Adaptation. Fan Wang, Zhongyi Han, Yongshun Gong, Yilong Yin |
| 2022 | Exploring Dual-task Correlation for Pose Guided Person Image Generation. Pengze Zhang, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie |
| 2022 | Exploring Effective Data for Surrogate Training Towards Black-box Attack. Xuxiang Sun, Gong Cheng, Hongda Li, Lei Pei, Junwei Han |
| 2022 | Exploring Endogenous Shift for Cross-domain Detection: A Large-scale Benchmark and Perturbation Suppression Network. Renshuai Tao, Hainan Li, Tianbo Wang, Yanlu Wei, Yifu Ding, Bowei Jin, Hongping Zhi, Xianglong Liu, Aishan Liu |
| 2022 | Exploring Frequency Adversarial Attacks for Face Forgery Detection. Shuai Jia, Chao Ma, Taiping Yao, Bangjie Yin, Shouhong Ding, Xiaokang Yang |
| 2022 | Exploring Geometric Consistency for Monocular 3D Object Detection. Qing Lian, Botao Ye, Ruijia Xu, Weilong Yao, Tong Zhang |
| 2022 | Exploring Patch-wise Semantic Relation for Contrastive Learning in Image-to-Image Translation Tasks. Chanyong Jung, Gihyun Kwon, Jong Chul Ye |
| 2022 | Exploring Set Similarity for Dense Self-supervised Representation Learning. Zhaoqing Wang, Qiang Li, Guoxin Zhang, Pengfei Wan, Wen Zheng, Nannan Wang, Mingming Gong, Tongliang Liu |
| 2022 | Exploring Structure-aware Transformer over Interaction Proposals for Human-Object Interaction Detection. Yong Zhang, Yingwei Pan, Ting Yao, Rui Huang, Tao Mei, Chang Wen Chen |
| 2022 | Exploring and Evaluating Image Restoration Potential in Dynamic Scenes. Cheng Zhang, Shaolin Su, Yu Zhu, Qingsen Yan, Jinqiu Sun, Yanning Zhang |
| 2022 | Exploring the Equivalence of Siamese Self-Supervised Learning via A Unified Gradient Framework. Chenxin Tao, Honghui Wang, Xizhou Zhu, Jiahua Dong, Shiji Song, Gao Huang, Jifeng Dai |
| 2022 | Exposure Normalization and Compensation for Multiple-Exposure Correction. Jie Huang, Yajing Liu, Xueyang Fu, Man Zhou, Yang Wang, Feng Zhao, Zhiwei Xiong |
| 2022 | Expressive Talking Head Generation with Granular Audio-Visual Control. Borong Liang, Yan Pan, Zhizhi Guo, Hang Zhou, Zhibin Hong, Xiaoguang Han, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang |
| 2022 | Extracting Triangular 3D Models, Materials, and Lighting From Images. Jacob Munkberg, Wenzheng Chen, Jon Hasselgren, Alex Evans, Tianchang Shen, Thomas Müller, Jun Gao, Sanja Fidler |
| 2022 | EyePAD++: A Distillation-based approach for joint Eye Authentication and Presentation Attack Detection using Periocular Images. Prithviraj Dhar, Amit Kumar, Kirsten Kaplan, Khushi Gupta, Rakesh Ranjan, Rama Chellappa |
| 2022 | FAM: Visual Explanations for the Feature Representations from Deep Convolutional Networks. Yuxi Wu, Changhuai Chen, Jun Che, Shiliang Pu |
| 2022 | FENeRF: Face Editing in Neural Radiance Fields. Jingxiang Sun, Xuan Wang, Yong Zhang, Xiaoyu Li, Qi Zhang, Yebin Liu, Jue Wang |
| 2022 | FERV39k: A Large-Scale Multi-Scene Dataset for Facial Expression Recognition in Videos. Yan Wang, Yixuan Sun, Yiwen Huang, Zhongying Liu, Shuyong Gao, Wei Zhang, Weifeng Ge, Wenqiang Zhang |
| 2022 | FIBA: Frequency-Injection based Backdoor Attack in Medical Image Analysis. Yu Feng, Benteng Ma, Jing Zhang, Shanshan Zhao, Yong Xia, Dacheng Tao |
| 2022 | FIFO: Learning Fog-invariant Features for Foggy Scene Segmentation. Sohyun Lee, Taeyoung Son, Suha Kwak |
| 2022 | FLAG: Flow-based 3D Avatar Generation from Sparse Observations. Sadegh Aliakbarian, Pashmina Cameron, Federica Bogo, Andrew W. Fitzgibbon, Thomas J. Cashman |
| 2022 | FLAVA: A Foundational Language And Vision Alignment Model. Amanpreet Singh, Ronghang Hu, Vedanuj Goswami, Guillaume Couairon, Wojciech Galuba, Marcus Rohrbach, Douwe Kiela |
| 2022 | FLOAT: Factorized Learning of Object Attributes for Improved Multi-object Multi-part Scene Parsing. Rishubh Singh, Pranav Gupta, Pradeep Shenoy, Ravikiran Sarvadevabhatla |
| 2022 | FMCNet: Feature-Level Modality Compensation for Visible-Infrared Person Re-Identification. Qiang Zhang, Changzhou Lai, Jianan Liu, Nianchang Huang, Jungong Han |
| 2022 | FS6D: Few-Shot 6D Pose Estimation of Novel Objects. Yisheng He, Yao Wang, Haoqiang Fan, Jian Sun, Qifeng Chen |
| 2022 | FWD: Real-time Novel View Synthesis with Forward Warping and Depth. Ang Cao, Chris Rockwell, Justin Johnson |
| 2022 | Face Relighting with Geometrically Consistent Shadows. Andrew Z. Hou, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu |
| 2022 | Face2Exp: Combating Data Biases for Facial Expression Recognition. Dan Zeng, Zhiyuan Lin, Xiao Yan, Yuting Liu, Fei Wang, Bo Tang |
| 2022 | FaceFormer: Speech-Driven 3D Facial Animation with Transformers. Yingruo Fan, Zhaojiang Lin, Jun Saito, Wenping Wang, Taku Komura |
| 2022 | FaceVerse: a Fine-grained and Detail-controllable 3D Face Morphable Model from a Hybrid Dataset. Lizhen Wang, Zhiyuan Chen, Tao Yu, Chenguang Ma, Liang Li, Yebin Liu |
| 2022 | Failure Modes of Domain Generalization Algorithms. Tigran Galstyan, Hrayr Harutyunyan, Hrant Khachatrian, Greg Ver Steeg, Aram Galstyan |
| 2022 | Fair Contrastive Learning for Facial Attribute Classification. Sungho Park, Jewook Lee, Pilhyeon Lee, Sunhee Hwang, Dohyung Kim, Hyeran Byun |
| 2022 | Fairness-aware Adversarial Perturbation Towards Bias Mitigation for Deployed Deep Models. Zhibo Wang, Xiaowei Dong, Henry Xue, Zhifei Zhang, Weifeng Chiu, Tao Wei, Kui Ren |
| 2022 | Faithful Extreme Rescaling via Generative Prior Reciprocated Invertible Representations. Zhixuan Zhong, Liangyu Chai, Yang Zhou, Bailin Deng, Jia Pan, Shengfeng He |
| 2022 | FashionVLP: Vision Language Transformer for Fashion Retrieval with Feedback. Sonam Goenka, Zhaoheng Zheng, Ayush Jaiswal, Rakesh Chada, Yue Wu, Varsha Hedau, Pradeep Natarajan |
| 2022 | Fast Algorithm for Low-rank Tensor Completion in Delay-embedded Space. Ryuki Yamamoto, Hidekata Hontani, Akira Imakura, Tatsuya Yokota |
| 2022 | Fast Light-Weight Near-Field Photometric Stereo. Daniel Lichy, Soumyadip Sengupta, David W. Jacobs |
| 2022 | Fast Point Transformer. Chunghyun Park, Yoonwoo Jeong, Minsu Cho, Jaesik Park |
| 2022 | Fast and Unsupervised Action Boundary Detection for Action Segmentation. Zexing Du, Xue Wang, Guoqing Zhou, Qing Wang |
| 2022 | Fast, Accurate and Memory-Efficient Partial Permutation Synchronization. Shaohan Li, Yunpeng Shi, Gilad Lerman |
| 2022 | FastDOG: Fast Discrete Optimization on GPU. Ahmed Abbas, Paul Swoboda |
| 2022 | Feature Erasing and Diffusion Network for Occluded Person Re-Identification. Zhikang Wang, Feng Zhu, Shixiang Tang, Rui Zhao, Lihuo He, Jiangning Song |
| 2022 | Feature Statistics Mixing Regularization for Generative Adversarial Networks. Junho Kim, Yunjey Choi, Youngjung Uh |
| 2022 | FedCor: Correlation-Based Active Client Selection Strategy for Heterogeneous Federated Learning. Minxue Tang, Xuefei Ning, Yitu Wang, Jingwei Sun, Yu Wang, Hai Helen Li, Yiran Chen |
| 2022 | FedCorr: Multi-Stage Federated Learning for Label Noise Correction. Jingyi Xu, Zihan Chen, Tony Q. S. Quek, Kai Fong Ernest Chong |
| 2022 | FedDC: Federated Learning with Non-IID Data via Local Drift Decoupling and Correction. Liang Gao, Huazhu Fu, Li Li, Yingwen Chen, Ming Xu, Cheng-Zhong Xu |
| 2022 | Federated Class-Incremental Learning. Jiahua Dong, Lixu Wang, Zhen Fang, Gan Sun, Shichao Xu, Xiao Wang, Qi Zhu |
| 2022 | Federated Learning with Position-Aware Neurons. Xin-Chun Li, Yichu Xu, Shaoming Song, Bingshuai Li, Yinchuan Li, Yunfeng Shao, De-Chuan Zhan |
| 2022 | Few Could Be Better Than All: Feature Sampling and Grouping for Scene Text Detection. Jingqun Tang, Wenqing Zhang, Hongye Liu, Mingkun Yang, Bo Jiang, Guanglong Hu, Xiang Bai |
| 2022 | Few Shot Generative Model Adaption via Relaxed Spatial Structural Alignment. Jiayu Xiao, Liang Li, Chaofei Wang, Zheng-Jun Zha, Qingming Huang |
| 2022 | Few-Shot Font Generation by Learning Fine-Grained Local Styles. Licheng Tang, Yiyang Cai, Jiaming Liu, Zhibin Hong, Mingming Gong, Minhu Fan, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang |
| 2022 | Few-Shot Head Swapping in the Wild. Changyong Shu, Hemao Wu, Hang Zhou, Jiaming Liu, Zhibin Hong, Changxing Ding, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang |
| 2022 | Few-Shot Incremental Learning for Label-to-Image Translation. Pei Chen, Yangkang Zhang, Zejian Li, Lingyun Sun |
| 2022 | Few-Shot Object Detection with Fully Cross-Transformer. Guangxing Han, Jiawei Ma, Shiyuan Huang, Long Chen, Shih-Fu Chang |
| 2022 | Few-shot Backdoor Defense Using Shapley Estimation. Jiyang Guan, Zhuozhuo Tu, Ran He, Dacheng Tao |
| 2022 | Few-shot Keypoint Detection with Uncertainty Learning for Unseen Species. Changsheng Lu, Piotr Koniusz |
| 2022 | Few-shot Learning with Noisy Labels. Kevin J. Liang, Samrudhdhi B. Rangrej, Vladan Petrovic, Tal Hassner |
| 2022 | Finding Badly Drawn Bunnies. Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song |
| 2022 | Finding Fallen Objects Via Asynchronous Audio-Visual Integration. Chuang Gan, Yi Gu, Siyuan Zhou, Jeremy Schwartz, Seth Alter, James Traer, Dan Gutfreund, Joshua B. Tenenbaum, Josh H. McDermott, Antonio Torralba |
| 2022 | Finding Good Configurations of Planar Primitives in Unorganized Point Clouds. Mulin Yu, Florent Lafarge |
| 2022 | Fine-Grained Object Classification via Self-Supervised Pose Alignment. Xuhui Yang, Yaowei Wang, Ke Chen, Yong Xu, Yonghong Tian |
| 2022 | Fine-Grained Predicates Learning for Scene Graph Generation. Xinyu Lyu, Lianli Gao, Yuyu Guo, Zhou Zhao, Hao Huang, Heng Tao Shen, Jingkuan Song |
| 2022 | Fine-grained Temporal Contrastive Learning for Weakly-supervised Temporal Action Localization. Junyu Gao, Mengyuan Chen, Changsheng Xu |
| 2022 | Fine-tuning Global Model via Data-Free Knowledge Distillation for Non-IID Federated Learning. Lin Zhang, Li Shen, Liang Ding, Dacheng Tao, Ling-Yu Duan |
| 2022 | Fine-tuning Image Transformers using Learnable Memory. Mark Sandler, Andrey Zhmoginov, Max Vladymyrov, Andrew Jackson |
| 2022 | FineDiving: A Fine-grained Dataset for Procedure-aware Action Quality Assessment. Jinglin Xu, Yongming Rao, Xumin Yu, Guangyi Chen, Jie Zhou, Jiwen Lu |
| 2022 | Fingerprinting Deep Neural Networks Globally via Universal Adversarial Perturbations. Zirui Peng, Shaofeng Li, Guoxing Chen, Cheng Zhang, Haojin Zhu, Minhui Xue |
| 2022 | Fire Together Wire Together: A Dynamic Pruning Approach with Self-Supervised Mask Prediction. Sara Elkerdawy, Mostafa Elhoushi, Hong Zhang, Nilanjan Ray |
| 2022 | Fisher Information Guidance for Learned Time-of-Flight Imaging. Jiaqu Li, Tao Yue, Sijie Zhao, Xuemei Hu |
| 2022 | FisherMatch: Semi-Supervised Rotation Regression via Entropy-based Filtering. Yingda Yin, Yingcheng Cai, He Wang, Baoquan Chen |
| 2022 | Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction. Yining Hong, Kaichun Mo, Li Yi, Leonidas J. Guibas, Antonio Torralba, Joshua B. Tenenbaum, Chuang Gan |
| 2022 | FlexIT: Towards Flexible Semantic Image Translation. Guillaume Couairon, Asya Grechka, Jakob Verbeek, Holger Schwenk, Matthieu Cord |
| 2022 | Focal Length and Object Pose Estimation via Render and Compare. Georgy Ponimatkin, Yann Labbé, Bryan C. Russell, Mathieu Aubry, Josef Sivic |
| 2022 | Focal Sparse Convolutional Networks for 3D Object Detection. Yukang Chen, Yanwei Li, Xiangyu Zhang, Jian Sun, Jiaya Jia |
| 2022 | Focal and Global Knowledge Distillation for Detectors. Zhendong Yang, Zhe Li, Xiaohu Jiang, Yuan Gong, Zehuan Yuan, Danpei Zhao, Chun Yuan |
| 2022 | FocalClick: Towards Practical Interactive Image Segmentation. Xi Chen, Zhiyan Zhao, Yilei Zhang, Manni Duan, Donglian Qi, Hengshuang Zhao |
| 2022 | FocusCut: Diving into a Focus View in Interactive Segmentation. Zheng Lin, Zheng-Peng Duan, Zhao Zhang, Chun-Le Guo, Ming-Ming Cheng |
| 2022 | FoggyStereo: Stereo Matching with Fog Volume Representation. Chengtang Yao, Lidong Yu |
| 2022 | Forecasting Characteristic 3D Poses of Human Actions. Christian Diller, Thomas A. Funkhouser, Angela Dai |
| 2022 | Forecasting from LiDAR via Future Object Detection. Neehar Peri, Jonathon Luiten, Mengtian Li, Aljosa Osep, Laura Leal-Taixé, Deva Ramanan |
| 2022 | Forward Compatible Few-Shot Class-Incremental Learning. Da-Wei Zhou, Fu-Yun Wang, Han-Jia Ye, Liang Ma, Shiliang Pu, De-Chuan Zhan |
| 2022 | Forward Compatible Training for Large-Scale Embedding Retrieval Systems. Vivek Ramanujan, Pavan Kumar Anasosalu Vasu, Ali Farhadi, Oncel Tuzel, Hadi Pouransari |
| 2022 | Forward Propagation, Backward Regression, and Pose Association for Hand Tracking in the Wild. Mingzhen Huang, Supreeth Narasimhaswamy, Saif Vazir, Haibin Ling, Minh Hoai |
| 2022 | Fourier Document Restoration for Robust Document Dewarping and Recognition. Chuhui Xue, Zichen Tian, Fangneng Zhan, Shijian Lu, Song Bai |
| 2022 | Fourier PlenOctrees for Dynamic Radiance Field Rendering in Real-time. Liao Wang, Jiakai Zhang, Xinhang Liu, Fuqiang Zhao, Yanshun Zhang, Yingliang Zhang, Minye Wu, Jingyi Yu, Lan Xu |
| 2022 | Frame Averaging for Equivariant Shape Space Learning. Matan Atzmon, Koki Nagano, Sanja Fidler, Sameh Khamis, Yaron Lipman |
| 2022 | Frame-wise Action Representations for Long Videos via Sequence Contrastive Learning. Minghao Chen, Fangyun Wei, Chong Li, Deng Cai |
| 2022 | FreeSOLO: Learning to Segment Objects without Annotations. Xinlong Wang, Zhiding Yu, Shalini De Mello, Jan Kautz, Anima Anandkumar, Chunhua Shen, José M. Álvarez |
| 2022 | Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity. Cheng Luo, Qinliang Lin, Weicheng Xie, Bizhu Wu, Jinheng Xie, Linlin Shen |
| 2022 | From Representation to Reasoning: Towards both Evidence and Commonsense Reasoning for Video Question-Answering. Jiangtong Li, Li Niu, Liqing Zhang |
| 2022 | Full-Range Virtual Try-On with Recurrent Tri-Level Transform. Han Yang, Xinrui Yu, Ziwei Liu |
| 2022 | Future Transformer for Long-term Action Anticipation. Dayoung Gong, Joonseok Lee, Manjin Kim, Seong Jong Ha, Minsu Cho |
| 2022 | FvOR: Robust Joint Shape and Pose Optimization for Few-view Object Reconstruction. Zhenpei Yang, Zhile Ren, Miguel Ángel Bautista, Zaiwei Zhang, Qi Shan, Qixing Huang |
| 2022 | GAN-Supervised Dense Visual Alignment. William S. Peebles, Jun-Yan Zhu, Richard Zhang, Antonio Torralba, Alexei A. Efros, Eli Shechtman |
| 2022 | GANORCON: Are Generative Models Useful for Few-shot Segmentation? Oindrila Saha, Zezhou Cheng, Subhransu Maji |
| 2022 | GANSeg: Learning to Segment by Unsupervised Hierarchical Image Generation. Xingzhe He, Bastian Wandt, Helge Rhodin |
| 2022 | GASP, a generalized framework for agglomerative clustering of signed graphs and its application to Instance Segmentation. Alberto Bailoni, Constantin Pape, Nathan Hütsch, Steffen Wolf, Thorsten Beier, Anna Kreshuk, Fred A. Hamprecht |
| 2022 | GAT-CADNet: Graph Attention Network for Panoptic Symbol Spotting in CAD Drawings. Zhaohua Zheng, Jianfang Li, Lingjie Zhu, Honghua Li, Frank Petzold, Ping Tan |
| 2022 | GCFSR: a Generative and Controllable Face Super Resolution Method Without Facial and GAN Priors. Jingwen He, Wu Shi, Kai Chen, Lean Fu, Chao Dong |
| 2022 | GCR: Gradient Coreset based Replay Buffer Selection for Continual Learning. Rishabh Tiwari, Krishnateja Killamsetty, Rishabh K. Iyer, Pradeep Shenoy |
| 2022 | GEN-VLKT: Simplify Association and Enhance Interaction Understanding for HOI Detection. Yue Liao, Aixi Zhang, Miao Lu, Yongliang Wang, Xiaobo Li, Si Liu |
| 2022 | GIFS: Neural Implicit Function for General Shape Representation. Jianglong Ye, Yuntao Chen, Naiyan Wang, Xiaolong Wang |
| 2022 | GIQE: Generic Image Quality Enhancement via N Pranjay Shyam, Kyung-Soo Kim, Kuk-Jin Yoon |
| 2022 | GIRAFFE HD: A High-Resolution 3D-aware Generative Model. Yang Xue, Yuheng Li, Krishna Kumar Singh, Yong Jae Lee |
| 2022 | GLAMR: Global Occlusion-Aware Human Mesh Recovery with Dynamic Cameras. Ye Yuan, Umar Iqbal, Pavlo Molchanov, Kris Kitani, Jan Kautz |
| 2022 | GLASS: Geometric Latent Augmentation for Shape Spaces. Sanjeev Muralikrishnan, Siddhartha Chaudhuri, Noam Aigerman, Vladimir G. Kim, Matthew Fisher, Niloy J. Mitra |
| 2022 | GMFlow: Learning Optical Flow via Global Matching. Haofei Xu, Jing Zhang, Jianfei Cai, Hamid Rezatofighi, Dacheng Tao |
| 2022 | GOAL: Generating 4D Whole-Body Motion for Hand-Object Grasping. Omid Taheri, Vasileios Choutas, Michael J. Black, Dimitrios Tzionas |
| 2022 | GPU-Based Homotopy Continuation for Minimal Problems in Computer Vision. Chiang-Heng Chien, Hongyi Fan, Ahmad Abdelfattah, Elias P. Tsigaridas, Stanimire Tomov, Benjamin B. Kimia |
| 2022 | GPV-Pose: Category-level Object Pose Estimation via Geometry-guided Point-wise Voting. Yan Di, Ruida Zhang, Zhiqiang Lou, Fabian Manhardt, Xiangyang Ji, Nassir Navab, Federico Tombari |
| 2022 | GRAM: Generative Radiance Manifolds for 3D-Aware Image Generation. Yu Deng, Jiaolong Yang, Jianfeng Xiang, Xin Tong |
| 2022 | GaTector: A Unified Framework for Gaze Object Prediction. Binglu Wang, Tao Hu, Baoshan Li, Xiaojuan Chen, Zhijie Zhang |
| 2022 | Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. Jinkai Zheng, Xinchen Liu, Wu Liu, Lingxiao He, Chenggang Yan, Tao Mei |
| 2022 | GateHUB: Gated History Unit with Background Suppression for Online Action Detection. Junwen Chen, Gaurav Mittal, Ye Yu, Yu Kong, Mei Chen |
| 2022 | Gated2Gated: Self-Supervised Depth Estimation from Gated Images. Amanpreet Walia, Stefanie Walz, Mario Bijelic, Fahim Mannan, Frank D. Julca-Aguilar, Michael S. Langer, Werner Ritter, Felix Heide |
| 2022 | Gaussian Process Modeling of Approximate Inference Errors for Variational Autoencoders. Minyoung Kim |
| 2022 | GazeOnce: Real-Time Multi-Person Gaze Estimation. Mingfang Zhang, Yunfei Liu, Feng Lu |
| 2022 | GenDR: A Generalized Differentiable Renderer. Felix Petersen, Bastian Goldluecke, Christian Borgelt, Oliver Deussen |
| 2022 | General Facial Representation Learning in a Visual-Linguistic Manner. Yinglin Zheng, Hao Yang, Ting Zhang, Jianmin Bao, Dongdong Chen, Yangyu Huang, Lu Yuan, Dong Chen, Ming Zeng, Fang Wen |
| 2022 | General Incremental Learning with Domain-aware Categorical Representations. Jiangwei Xie, Shipeng Yan, Xuming He |
| 2022 | Generalizable Cross-modality Medical Image Segmentation via Style Augmentation and Dual Normalization. Ziqi Zhou, Lei Qi, Xin Yang, Dong Ni, Yinghuan Shi |
| 2022 | Generalizable Human Pose Triangulation. Kristijan Bartol, David Bojanic, Tomislav Petkovic |
| 2022 | Generalized Binary Search Network for Highly-Efficient Multi-View Stereo. Zhenxing Mi, Di Chang, Dan Xu |
| 2022 | Generalized Category Discovery. Sagar Vaze, Kai Han, Andrea Vedaldi, Andrew Zisserman |
| 2022 | Generalized Few-shot Semantic Segmentation. Zhuotao Tian, Xin Lai, Li Jiang, Shu Liu, Michelle Shu, Hengshuang Zhao, Jiaya Jia |
| 2022 | Generalizing Gaze Estimation with Rotation Consistency. Yiwei Bao, Yunfei Liu, Haofei Wang, Feng Lu |
| 2022 | Generalizing Interactive Backpropagating Refinement for Dense Prediction Networks. Fanqing Lin, Brian L. Price, Tony R. Martinez |
| 2022 | Generating 3D Bio-Printable Patches Using Wound Segmentation and Reconstruction to Treat Diabetic Foot Ulcers. Han Joo Chae, Seunghwan Lee, Hyewon Son, Seungyeob Han, Taebin Lim |
| 2022 | Generating Diverse 3D Reconstructions from a Single Occluded Face Image. Rahul Dey, Vishnu Naresh Boddeti |
| 2022 | Generating Diverse and Natural 3D Human Motions from Text. Chuan Guo, Shihao Zou, Xinxin Zuo, Sen Wang, Wei Ji, Xingyu Li, Li Cheng |
| 2022 | Generating High Fidelity Data from Low-density Regions using Diffusion Models. Vikash Sehwag, Caner Hazirbas, Albert Gordo, Firat Ozgenel, Cristian Canton-Ferrer |
| 2022 | Generating Representative Samples for Few-Shot Classification. Jingyi Xu, Hieu Le |
| 2022 | Generating Useful Accident-Prone Driving Scenarios via a Learned Traffic Prior. Davis Rempe, Jonah Philion, Leonidas J. Guibas, Sanja Fidler, Or Litany |
| 2022 | Generative Cooperative Learning for Unsupervised Video Anomaly Detection. Muhammad Zaigham Zaheer, Arif Mahmood, Muhammad Haris Khan, Mattia Segù, Fisher Yu, Seung-Ik Lee |
| 2022 | Generative Flows with Invertible Attentions. Rhea Sanjay Sukthanker, Zhiwu Huang, Suryansh Kumar, Radu Timofte, Luc Van Gool |
| 2022 | GeoEngine: A Platform for Production-Ready Geospatial Research. Sagar Verma, Siddharth Gupta, Hal Shin, Akash Panigrahi, Shubham Goswami, Shweta Pardeshi, Natanael Exe, Ujwal Dutta, Tanka Raj Joshi, Nitin Bhojwani |
| 2022 | GeoNeRF: Generalizing NeRF with Geometry Priors. Mohammad Mahdi Johari, Yann Lepoittevin, François Fleuret |
| 2022 | Geometric Anchor Correspondence Mining with Uncertainty Modeling for Universal Domain Adaptation. Liang Chen, Yihang Lou, Jianzhong He, Tao Bai, Minghua Deng |
| 2022 | Geometric Structure Preserving Warp for Natural Image Stitching. Peng Du, Jifeng Ning, Jiguang Cui, Shaoli Huang, Xinchao Wang, Jiaxin Wang |
| 2022 | Geometric Transformer for Fast and Robust Point Cloud Registration. Zheng Qin, Hao Yu, Changjian Wang, Yulan Guo, Yuxing Peng, Kai Xu |
| 2022 | Geometric and Textural Augmentation for Domain Gap Reduction. Xiao-Chang Liu, Yongliang Yang, Peter Hall |
| 2022 | Geometry-Aware Guided Loss for Deep Crack Recognition. Zhuangzhuang Chen, Jin Zhang, Zhuonan Lai, Jie Chen, Zun Liu, Jianqiang Li |
| 2022 | Give Me Your Attention: Dot-Product Attention Considered Harmful for Adversarial Patch Robustness. Giulio Lovisotto, Nicole Finnie, Mauricio Munoz, Chaithanya Kumar Mummadi, Jan Hendrik Metzen |
| 2022 | Glass Segmentation using Intensity and Spectral Polarization Cues. Haiyang Mei, Bo Dong, Wen Dong, Jiaxi Yang, Seung-Hwan Baek, Felix Heide, Pieter Peers, Xiaopeng Wei, Xin Yang |
| 2022 | GlideNet: Global, Local and Intrinsic based Dense Embedding NETwork for Multi-category Attributes Prediction. Kareem M. Metwaly, Aerin Kim, Elliot Branson, Vishal Monga |
| 2022 | Global Context with Discrete Diffusion in Vector Quantised Modelling for Image Generation. Minghui Hu, Yujie Wang, Tat-Jen Cham, Jianfei Yang, Ponnuthurai N. Suganthan |
| 2022 | Global Convergence of MAML and Theory-Inspired Neural Architecture Search for Few-Shot Learning. Haoxiang Wang, Yite Wang, Ruoyu Sun, Bo Li |
| 2022 | Global Matching with Overlapping Attention for Optical Flow Estimation. Shiyu Zhao, Long Zhao, Zhixing Zhang, Enyu Zhou, Dimitris N. Metaxas |
| 2022 | Global Sensing and Measurements Reuse for Image Compressed Sensing. Zi-En Fan, Feng Lian, Jia-Ni Quan |
| 2022 | Global Tracking Transformers. Xingyi Zhou, Tianwei Yin, Vladlen Koltun, Philipp Krähenbühl |
| 2022 | Global Tracking via Ensemble of Local Trackers. Zikun Zhou, Jianqiu Chen, Wenjie Pei, Kaige Mao, Hongpeng Wang, Zhenyu He |
| 2022 | Global-Aware Registration of Less-Overlap RGB-D Scans. Che Sun, Yunde Jia, Yi Guo, Yuwei Wu |
| 2022 | Globetrotter: Connecting Languages by Connecting Images. Dídac Surís, Dave Epstein, Carl Vondrick |
| 2022 | GraFormer: Graph-oriented Transformer for 3D Pose Estimation. Weixi Zhao, Weiqiang Wang, Yunjie Tian |
| 2022 | GradViT: Gradient Inversion of Vision Transformers. Ali Hatamizadeh, Hongxu Yin, Holger Roth, Wenqi Li, Jan Kautz, Daguang Xu, Pavlo Molchanov |
| 2022 | Gradient-SDF: A Semi-Implicit Surface Representation for 3D Reconstruction. Christiane Sommer, Lu Sang, David Schubert, Daniel Cremers |
| 2022 | GraftNet: Towards Domain Generalized Stereo Matching with a Broad-Spectrum and Task-Oriented Feature. Biyang Liu, Huimin Yu, Guodong Qi |
| 2022 | GrainSpace: A Large-scale Dataset for Fine-grained and Domain-adaptive Recognition of Cereal Grains. Lei Fan, Yiwen Ding, Dongdong Fan, Donglin Di, Maurice Pagnucco, Yang Song |
| 2022 | Graph Sampling Based Deep Metric Learning for Generalizable Person Re-Identification. Shengcai Liao, Ling Shao |
| 2022 | Graph-based Spatial Transformer with Memory Replay for Multi-future Pedestrian Trajectory Prediction. Lihuan Li, Maurice Pagnucco, Yang Song |
| 2022 | Graph-context Attention Networks for Size-varied Deep Graph Matching. Zheheng Jiang, Hossein Rahmani, Plamen Angelov, Sue Black, Bryan M. Williams |
| 2022 | Gravitationally Lensed Black Hole Emission Tomography. Aviad Levis, Pratul P. Srinivasan, Andrew A. Chael, Ren Ng, Katherine L. Bouman |
| 2022 | GreedyNASv2: Greedier Search with a Greedy Path Filter. Tao Huang, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu |
| 2022 | GridShift: A Faster Mode-seeking Algorithm for Image Segmentation and Object Tracking. Abhishek Kumar, Oladayo S. Ajani, Swagatam Das, Rammohan Mallipeddi |
| 2022 | Grounded Language-Image Pre-training. Liunian Harold Li, Pengchuan Zhang, Haotian Zhang, Jianwei Yang, Chunyuan Li, Yiwu Zhong, Lijuan Wang, Lu Yuan, Lei Zhang, Jenq-Neng Hwang, Kai-Wei Chang, Jianfeng Gao |
| 2022 | Grounding Answers for Visual Questions Asked by Visually Impaired People. Chongyan Chen, Samreen Anjum, Danna Gurari |
| 2022 | Group Contextualization for Video Recognition. Yanbin Hao, Hao Zhang, Chong-Wah Ngo, Xiangnan He |
| 2022 | Group R-CNN for Weakly Semi-supervised Object Detection with Points. Shilong Zhang, Zhuoran Yu, Liyang Liu, Xinjiang Wang, Aojun Zhou, Kai Chen |
| 2022 | GroupNet: Multiscale Hypergraph Neural Networks for Trajectory Prediction with Relational Reasoning. Chenxin Xu, Maosen Li, Zhenyang Ni, Ya Zhang, Siheng Chen |
| 2022 | GroupViT: Semantic Segmentation Emerges from Text Supervision. Jiarui Xu, Shalini De Mello, Sifei Liu, Wonmin Byeon, Thomas M. Breuel, Jan Kautz, Xiaolong Wang |
| 2022 | GuideFormer: Transformers for Image Guided Depth Completion. Kyeongha Rho, Jinsung Ha, Youngjung Kim |
| 2022 | H2FA R-CNN: Holistic and Hierarchical Feature Alignment for Cross-domain Weakly Supervised Object Detection. Yunqiu Xu, Yifan Sun, Zongxin Yang, Jiaxu Miao, Yi Yang |
| 2022 | H4D: Human 4D Modeling by Learning Neural Compositional Representation. Boyan Jiang, Yinda Zhang, Xingkui Wei, Xiangyang Xue, Yanwei Fu |
| 2022 | HARA: A Hierarchical Approach for Robust Rotation Averaging. Seong Hun Lee, Javier Civera |
| 2022 | HCSC: Hierarchical Contrastive Selective Coding. Yuanfan Guo, Minghao Xu, Jiawen Li, Bingbing Ni, Xuanyu Zhu, Zhenbang Sun, Yi Xu |
| 2022 | HDNet: High-resolution Dual-domain Learning for Spectral Compressive Imaging. Xiaowan Hu, Yuanhao Cai, Jing Lin, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2022 | HDR-NeRF: High Dynamic Range Neural Radiance Fields. Xin Huang, Qi Zhang, Ying Feng, Hongdong Li, Xuan Wang, Qing Wang |
| 2022 | HEAT: Holistic Edge Attention Transformer for Structured Reconstruction. Jiacheng Chen, Yiming Qian, Yasutaka Furukawa |
| 2022 | HINT: Hierarchical Neuron Concept Explainer. Andong Wang, Wei-Ning Lee, Xiaojuan Qi |
| 2022 | HL-Net: Heterophily Learning Network for Scene Graph Generation. Xin Lin, Changxing Ding, Yibing Zhan, Zijian Li, Dacheng Tao |
| 2022 | HLRTF: Hierarchical Low-Rank Tensor Factorization for Inverse Problems in Multi-Dimensional Imaging. Yi-Si Luo, Xile Zhao, Deyu Meng, Tai-Xiang Jiang |
| 2022 | HODEC: Towards Efficient High-Order DEcomposed Convolutional Neural Networks. Miao Yin, Yang Sui, Wanzhao Yang, Xiao Zang, Yu Gong, Bo Yuan |
| 2022 | HODOR: High-level Object Descriptors for Object Re-segmentation in Video Learned from Static Images. Ali Athar, Jonathon Luiten, Alexander Hermans, Deva Ramanan, Bastian Leibe |
| 2022 | HOI4D: A 4D Egocentric Dataset for Category-Level Human-Object Interaction. Yunze Liu, Yun Liu, Che Jiang, Kangbo Lyu, Weikang Wan, Hao Shen, Boqiang Liang, Zhoujie Fu, He Wang, Li Yi |
| 2022 | HOP: History-and-Order Aware Pretraining for Vision-and-Language Navigation. Yanyuan Qiao, Yuankai Qi, Yicong Hong, Zheng Yu, Peng Wang, Qi Wu |
| 2022 | HP-Capsule: Unsupervised Face Part Discovery by Hierarchical Parsing Capsule Network. Chang Yu, Xiangyu Zhu, Xiaomei Zhang, Zidu Wang, Zhaoxiang Zhang, Zhen Lei |
| 2022 | HSC4D: Human-centered 4D Scene Capture in Large-scale Indoor-outdoor Space Using Wearable IMUs and LiDAR. Yudi Dai, Yitai Lin, Chenglu Wen, Siqi Shen, Lan Xu, Jingyi Yu, Yuexin Ma, Cheng Wang |
| 2022 | HVH: Learning a Hybrid Neural Volumetric Representation for Dynamic Hair Performance Capture. Ziyan Wang, Giljoo Nam, Tuur Stuyck, Stephen Lombardi, Michael Zollhöfer, Jessica K. Hodgins, Christoph Lassner |
| 2022 | Habitat-Web: Learning Embodied Object-Search Strategies from Human Demonstrations at Scale. Ram Ramrakhya, Eric Undersander, Dhruv Batra, Abhishek Das |
| 2022 | HairCLIP: Design Your Hair by Text and Reference Image. Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Zhentao Tan, Lu Yuan, Weiming Zhang, Nenghai Yu |
| 2022 | HairMapper: Removing Hair from Portraits Using GANs. Yiqian Wu, Yong-Liang Yang, Xiaogang Jin |
| 2022 | Hallucinated Neural Radiance Fields in the Wild. Xingyu Chen, Qi Zhang, Xiaoyu Li, Yue Chen, Ying Feng, Xuan Wang, Jue Wang |
| 2022 | HandOccNet: Occlusion-Robust 3D Hand Mesh Estimation Network. Joonkyu Park, Yeonguk Oh, Gyeongsik Moon, Hongsuk Choi, Kyoung Mu Lee |
| 2022 | Harmony: A Generic Unsupervised Approach for Disentangling Semantic Content from Parameterized Transformations. Mostofa Rafid Uddin, Gregory Howe, Xiangrui Zeng, Min Xu |
| 2022 | HeadNeRF: A Realtime NeRF-based Parametric Head Model. Yang Hong, Bo Peng, Haiyao Xiao, Ligang Liu, Juyong Zhang |
| 2022 | HerosNet: Hyperspectral Explicable Reconstruction and Optimal Sampling Deep Network for Snapshot Compressive Imaging. Xuanyu Zhang, Yongbing Zhang, Ruiqin Xiong, Qilin Sun, Jian Zhang |
| 2022 | HiVT: Hierarchical Vector Transformer for Multi-Agent Motion Prediction. Zikang Zhou, Luyao Ye, Jianping Wang, Kui Wu, Kejie Lu |
| 2022 | Hierarchical Modular Network for Video Captioning. Hanhua Ye, Guorong Li, Yuankai Qi, Shuhui Wang, Qingming Huang, Ming-Hsuan Yang |
| 2022 | Hierarchical Nearest Neighbor Graph Embedding for Efficient Dimensionality Reduction. M. Saquib Sarfraz, Marios Koulakis, Constantin Seibold, Rainer Stiefelhagen |
| 2022 | Hierarchical Self-supervised Representation Learning for Movie Understanding. Fanyi Xiao, Kaustav Kundu, Joseph Tighe, Davide Modolo |
| 2022 | High Quality Segmentation for Ultra High-resolution Images. Tiancheng Shen, Yuechen Zhang, Lu Qi, Jason Kuen, Xingyu Xie, Jianlong Wu, Zhe Lin, Jiaya Jia |
| 2022 | High-Fidelity GAN Inversion for Image Attribute Editing. Tengfei Wang, Yong Zhang, Yanbo Fan, Jue Wang, Qifeng Chen |
| 2022 | High-Fidelity Human Avatars from a Single RGB Camera. Hao Zhao, Jinsong Zhang, Yu-Kun Lai, Zerong Zheng, Yingdi Xie, Yebin Liu, Kun Li |
| 2022 | High-Resolution Image Harmonization via Collaborative Dual Transformations. Wenyan Cong, Xinhao Tao, Li Niu, Jing Liang, Xuesong Gao, Qihao Sun, Liqing Zhang |
| 2022 | High-Resolution Image Synthesis with Latent Diffusion Models. Robin Rombach, Andreas Blattmann, Dominik Lorenz, Patrick Esser, Björn Ommer |
| 2022 | High-resolution Face Swapping via Latent Semantics Disentanglement. Yangyang Xu, Bailin Deng, Junle Wang, Yanqing Jing, Jia Pan, Shengfeng He |
| 2022 | Highly-efficient Incomplete Largescale Multiview Clustering with Consensus Bipartite Graph. Siwei Wang, Xinwang Liu, Li Liu, Wenxuan Tu, Xinzhong Zhu, Jiyuan Liu, Sihang Zhou, En Zhu |
| 2022 | Hire-MLP: Vision MLP via Hierarchical Rearrangement. Jianyuan Guo, Yehui Tang, Kai Han, Xinghao Chen, Han Wu, Chao Xu, Chang Xu, Yunhe Wang |
| 2022 | Holocurtains: Programming Light Curtains via Binary Holography. Dorian Chan, Srinivasa G. Narasimhan, Matthew O'Toole |
| 2022 | Homography Loss for Monocular 3D Object Detection. Jiaqi Gu, Bojian Wu, Lubin Fan, Jianqiang Huang, Shen Cao, Zhiyu Xiang, Xian-Sheng Hua |
| 2022 | How Do You Do It? Fine-Grained Action Understanding with Pseudo-Adverbs. Hazel Doughty, Cees G. M. Snoek |
| 2022 | How Good Is Aesthetic Ability of a Fashion Model? Xingxing Zou, Kaicheng Pang, Wen Zhang, Waikeung Wong |
| 2022 | How Much More Data Do I Need? Estimating Requirements for Downstream Tasks. Rafid Mahmood, James Lucas, David Acuna, Daiqing Li, Jonah Philion, José M. Álvarez, Zhiding Yu, Sanja Fidler, Marc T. Law |
| 2022 | How Well Do Sparse ImageNet Models Transfer? Eugenia Iofinova, Alexandra Peste, Mark Kurtz, Dan Alistarh |
| 2022 | How many Observations are Enough? Knowledge Distillation for Trajectory Forecasting. Alessio Monti, Angelo Porrello, Simone Calderara, Pasquale Coscia, Lamberto Ballan, Rita Cucchiara |
| 2022 | How much does input data type impact final face model accuracy? Jiahao Luo, Fahim Hasan Khan, Issei Mori, Akila de Silva, Eric Sandoval Ruezga, Minghao Liu, Alex Pang, James Davis |
| 2022 | Human Hands as Probes for Interactive Object Understanding. Mohit Goyal, Sahil Modi, Rishabh Goyal, Saurabh Gupta |
| 2022 | Human Instance Matting via Mutual Guidance and Multi-Instance Refinement. Yanan Sun, Chi-Keung Tang, Yu-Wing Tai |
| 2022 | Human Mesh Recovery from Multiple Shots. Georgios Pavlakos, Jitendra Malik, Angjoo Kanazawa |
| 2022 | Human Trajectory Prediction with Momentary Observation. Jianhua Sun, Yuxuan Li, Liang Chai, Haoshu Fang, Yong-Lu Li, Cewu Lu |
| 2022 | Human-Aware Object Placement for Visual Environment Reconstruction. Hongwei Yi, Chun-Hao P. Huang, Dimitrios Tzionas, Muhammed Kocabas, Mohamed Hassan, Siyu Tang, Justus Thies, Michael J. Black |
| 2022 | Human-Object Interaction Detection via Disentangled Transformer. Desen Zhou, Zhichao Liu, Jian Wang, Leshan Wang, Tao Hu, Errui Ding, Jingdong Wang |
| 2022 | HumanNeRF: Efficiently Generated Human Radiance Field from Sparse Inputs. Fuqiang Zhao, Wei Yang, Jiakai Zhang, Pei Lin, Yingliang Zhang, Jingyi Yu, Lan Xu |
| 2022 | HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video. Chung-Yi Weng, Brian Curless, Pratul P. Srinivasan, Jonathan T. Barron, Ira Kemelmacher-Shlizerman |
| 2022 | Hybrid Relation Guided Set Matching for Few-shot Action Recognition. Xiang Wang, Shiwei Zhang, Zhiwu Qing, Mingqian Tang, Zhengrong Zuo, Changxin Gao, Rong Jin, Nong Sang |
| 2022 | HybridCR: Weakly-Supervised 3D Point Cloud Semantic Segmentation via Hybrid Contrastive Regularization. Mengtian Li, Yuan Xie, Yunhang Shen, Bo Ke, Ruizhi Qiao, Bo Ren, Shaohui Lin, Lizhuang Ma |
| 2022 | HyperDet3D: Learning a Scene-conditioned 3D Object Detector. Yu Zheng, Yueqi Duan, Jiwen Lu, Jie Zhou, Qi Tian |
| 2022 | HyperInverter: Improving StyleGAN Inversion via Hypernetwork. Tan M. Dinh, Anh Tuan Tran, Rang Nguyen, Binh-Son Hua |
| 2022 | HyperSegNAS: Bridging One-Shot Neural Architecture Search with 3D Medical Image Segmentation using HyperNet. Cheng Peng, Andriy Myronenko, Ali Hatamizadeh, Vishwesh Nath, Md Mahfuzur Rahman Siddiquee, Yufan He, Daguang Xu, Rama Chellappa, Dong Yang |
| 2022 | HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing. Yuval Alaluf, Omer Tov, Ron Mokady, Rinon Gal, Amit Bermano |
| 2022 | HyperTransformer: A Textural and Spectral Feature Fusion Transformer for Pansharpening. Wele Gedara Chaminda Bandara, Vishal M. Patel |
| 2022 | Hyperbolic Image Segmentation. Mina Ghadimi Atigh, Julian Schoep, Erman Acar, Nanne van Noord, Pascal Mettes |
| 2022 | Hyperbolic Vision Transformers: Combining Improvements in Metric Learning. Aleksandr Ermolov, Leyla Mirvakhabova, Valentin Khrulkov, Nicu Sebe, Ivan V. Oseledets |
| 2022 | Hypergraph-Induced Semantic Tuplet Loss for Deep Metric Learning. Jongin Lim, Sangdoo Yun, Seulki Park, Jin Young Choi |
| 2022 | Hyperspherical Consistency Regularization. Cheng Tan, Zhangyang Gao, Lirong Wu, Siyuan Li, Stan Z. Li |
| 2022 | I M Avatar: Implicit Morphable Head Avatars from Videos. Yufeng Zheng, Victoria Fernández Abrevaya, Marcel C. Bühler, Xu Chen, Michael J. Black, Otmar Hilliges |
| 2022 | ICON: Implicit Clothed humans Obtained from Normals. Yuliang Xiu, Jinlong Yang, Dimitrios Tzionas, Michael J. Black |
| 2022 | IDEA-Net: Dynamic 3D Point Cloud Interpolation via Deep Embedding Alignment. Yiming Zeng, Yue Qian, Qijian Zhang, Junhui Hou, Yixuan Yuan, Ying He |
| 2022 | IDR: Self-Supervised Image Denoising via Iterative Data Refinement. Yi Zhang, Dasong Li, Ka Lung Law, Xiaogang Wang, Hongwei Qin, Hongsheng Li |
| 2022 | IEEE/CVF Conference on Computer Vision and Pattern Recognition, CVPR 2022, New Orleans, LA, USA, June 18-24, 2022 |
| 2022 | IFOR: Iterative Flow Minimization for Robotic Object Rearrangement. Ankit Goyal, Arsalan Mousavian, Chris Paxton, Yu-Wei Chao, Brian Okorn, Jia Deng, Dieter Fox |
| 2022 | IFRNet: Intermediate Feature Refine Network for Efficient Frame Interpolation. Lingtong Kong, Boyuan Jiang, Donghao Luo, Wenqing Chu, Xiaoming Huang, Ying Tai, Chengjie Wang, Jie Yang |
| 2022 | INS-Conv: Incremental Sparse Convolution for Online 3D Segmentation. Leyao Liu, Tian Zheng, Yun-Jou Lin, Kai Ni, Lu Fang |
| 2022 | IRISformer: Dense Vision Transformers for Single-Image Inverse Rendering in Indoor Scenes. Rui Zhu, Zhengqin Li, Janarbek Matai, Fatih Porikli, Manmohan Chandraker |
| 2022 | IRON: Inverse Rendering by Optimizing Neural SDFs and Materials from Photometric Images. Kai Zhang, Fujun Luan, Zhengqi Li, Noah Snavely |
| 2022 | ISDNet: Integrating Shallow and Deep Networks for Efficient Ultra-high Resolution Segmentation. Shaohua Guo, Liang Liu, Zhenye Gan, Yabiao Wang, Wuhao Zhang, Chengjie Wang, Guannan Jiang, Wei Zhang, Ran Yi, Lizhuang Ma, Ke Xu |
| 2022 | ISNAS-DIP: Image-Specific Neural Architecture Search for Deep Image Prior. Metin Ersin Arican, Ozgur Kara, Gustav Bredell, Ender Konukoglu |
| 2022 | ISNet: Shape Matters for Infrared Small Target Detection. Mingjin Zhang, Rui Zhang, Yuxiang Yang, Haichen Bai, Jing Zhang, Jie Guo |
| 2022 | ITSA: An Information-Theoretic Approach to Automatic Shortcut Avoidance and Domain Generalization in Stereo Matching Networks. Weiqin Chuah, Ruwan B. Tennakoon, Reza Hoseinnezhad, Alireza Bab-Hadiashar, David Suter |
| 2022 | Id-Free Person Similarity Learning. Bing Shuai, Xinyu Li, Kaustav Kundu, Joseph Tighe |
| 2022 | Identifying Ambiguous Similarity Conditions via Semantic Matching. Han-Jia Ye, Yi Shi, De-Chuan Zhan |
| 2022 | ImFace: A Nonlinear 3D Morphable Face Model with Implicit Neural Representations. Mingwu Zheng, Hongyu Yang, Di Huang, Liming Chen |
| 2022 | Image Animation with Perturbed Masks. Yoav Shalev, Lior Wolf |
| 2022 | Image Based Reconstruction of Liquids from 2D Surface Detections. Florian Richter, Ryan K. Orosco, Michael C. Yip |
| 2022 | Image Dehazing Transformer with Transmission-Aware 3D Position Embedding. Chunle Guo, Qixin Yan, Saeed Anwar, Runmin Cong, Wenqi Ren, Chongyi Li |
| 2022 | Image Disentanglement Autoencoder for Steganography without Embedding. Xiyao Liu, Ziping Ma, Junxing Ma, Jian Zhang, Gerald Schaefer, Hui Fang |
| 2022 | Image Segmentation Using Text and Image Prompts. Timo Lüddecke, Alexander S. Ecker |
| 2022 | Image-to-Lidar Self-Supervised Distillation for Autonomous Driving Data. Corentin Sautier, Gilles Puy, Spyros Gidaris, Alexandre Boulch, Andrei Bursuc, Renaud Marlet |
| 2022 | Implicit Feature Decoupling with Depthwise Quantization. Iordanis Fostiropoulos, Barry W. Boehm |
| 2022 | Implicit Motion Handling for Video Camouflaged Object Detection. Xuelian Cheng, Huan Xiong, Deng-Ping Fan, Yiran Zhong, Mehrtash Harandi, Tom Drummond, Zongyuan Ge |
| 2022 | Implicit Sample Extension for Unsupervised Person Re-Identification. Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, Jingdong Wang |
| 2022 | ImplicitAtlas: Learning Deformable Shape Templates in Medical Imaging. Jiancheng Yang, Udaranga Wickramasinghe, Bingbing Ni, Pascal Fua |
| 2022 | Imposing Consistency for Optical Flow Estimation. Jisoo Jeong, Jamie Menjay Lin, Fatih Porikli, Nojun Kwak |
| 2022 | Improving Adversarial Transferability via Neuron Attribution-based Attacks. Jianping Zhang, Weibin Wu, Jen-tse Huang, Yizhan Huang, Wenxuan Wang, Yuxin Su, Michael R. Lyu |
| 2022 | Improving Adversarially Robust Few-shot Image Classification with Generalizable Representations. Junhao Dong, Yuan Wang, Jianhuang Lai, Xiaohua Xie |
| 2022 | Improving GAN Equilibrium by Raising Spatial Awareness. Jianyuan Wang, Ceyuan Yang, Yinghao Xu, Yujun Shen, Hongdong Li, Bolei Zhou |
| 2022 | Improving Robustness Against Stealthy Weight Bit-Flip Attacks by Output Code Matching. Ozan Özdenizci, Robert Legenstein |
| 2022 | Improving Segmentation of the Inferior Alveolar Nerve through Deep Label Propagation. Marco Cipriano, Stefano Allegretti, Federico Bolelli, Federico Pollastri, Costantino Grana |
| 2022 | Improving Subgraph Recognition with Variational Graph Information Bottleneck. Junchi Yu, Jie Cao, Ran He |
| 2022 | Improving Video Model Transfer with Dynamic Representation Learning. Yi Li, Nuno Vasconcelos |
| 2022 | Improving Visual Grounding with Visual-Linguistic Verification and Iterative Reasoning. Li Yang, Yan Xu, Chunfeng Yuan, Wei Liu, Bing Li, Weiming Hu |
| 2022 | Improving neural implicit surfaces geometry with patch warping. François Darmon, Bénédicte Bascle, Jean-Clément Devaux, Pascal Monasse, Mathieu Aubry |
| 2022 | Improving the Transferability of Targeted Adversarial Examples through Object-Based Diverse Input. Junyoung Byun, Seungju Cho, Myung-Joon Kwon, Hee-Seon Kim, Changick Kim |
| 2022 | InOut: Diverse Image Outpainting via GAN Inversion. Yen-Chi Cheng, Chieh Hubert Lin, Hsin-Ying Lee, Jian Ren, Sergey Tulyakov, Ming-Hsuan Yang |
| 2022 | Incorporating Semi-Supervised and Positive-Unlabeled Learning for Boosting Full Reference Image Quality Assessment. Yue Cao, Zhaolin Wan, Dongwei Ren, Zifei Yan, Wangmeng Zuo |
| 2022 | Incremental Cross-view Mutual Distillation for Self-supervised Medical CT Synthesis. Chaowei Fang, Liang Wang, Dingwen Zhang, Jun Xu, Yixuan Yuan, Junwei Han |
| 2022 | Incremental Learning in Semantic Segmentation from Image Labels. Fabio Cermelli, Dario Fontanel, Antonio Tavera, Marco Ciccone, Barbara Caputo |
| 2022 | Incremental Transformer Structure Enhanced Image Inpainting with Masking Positional Encoding. Qiaole Dong, Chenjie Cao, Yanwei Fu |
| 2022 | Industrial Style Transfer with Large-scale Geometric Warping and Content Preservation. Jinchao Yang, Fei Guo, Shuo Chen, Jun Li, Jian Yang |
| 2022 | Inertia-Guided Flow Completion and Style Fusion for Video Inpainting. Kaidong Zhang, Jingjing Fu, Dong Liu |
| 2022 | InfoGCN: Representation Learning for Human Skeleton-based Action Recognition. Hyung-Gun Chi, Myoung Hoon Ha, Seung-geun Chi, Sang Wan Lee, Qixing Huang, Karthik Ramani |
| 2022 | InfoNeRF: Ray Entropy Minimization for Few-Shot Neural Volume Rendering. Mijeong Kim, Seonguk Seo, Bohyung Han |
| 2022 | Infrared Invisible Clothing: Hiding from Infrared Detectors at Multiple Angles in Real World. Xiaopei Zhu, Zhanhao Hu, Siyuan Huang, Jianmin Li, Xiaolin Hu |
| 2022 | Injecting Semantic Concepts into End-to-End Image Captioning. Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lin Liang, Zhe Gan, Lijuan Wang, Yezhou Yang, Zicheng Liu |
| 2022 | Input-level Inductive Biases for 3D Reconstruction. Wang Yifan, Carl Doersch, Relja Arandjelovic, João Carreira, Andrew Zisserman |
| 2022 | InsetGAN for Full-Body Image Generation. Anna Frühstück, Krishna Kumar Singh, Eli Shechtman, Niloy J. Mitra, Peter Wonka, Jingwan Lu |
| 2022 | InstaFormer: Instance-Aware Image-to-Image Translation with Transformer. Soohyun Kim, Jongbeom Baek, Jihye Park, Gyeongnyeon Kim, Seungryong Kim |
| 2022 | Instance Segmentation with Mask-supervised Polygonal Boundary Transformers. Justin Lazarow, Weijian Xu, Zhuowen Tu |
| 2022 | Instance-Aware Dynamic Neural Network Quantization. Zhenhua Liu, Yunhe Wang, Kai Han, Siwei Ma, Wen Gao |
| 2022 | Instance-Dependent Label-Noise Learning with Manifold-Regularized Transition Matrix Estimation. De Cheng, Tongliang Liu, Yixiong Ning, Nannan Wang, Bo Han, Gang Niu, Xinbo Gao, Masashi Sugiyama |
| 2022 | Instance-wise Occlusion and Depth Orders in Natural Scenes. Hyunmin Lee, Jaesik Park |
| 2022 | Integrating Language Guidance into Vision-based Deep Metric Learning. Karsten Roth, Oriol Vinyals, Zeynep Akata |
| 2022 | Integrative Few-Shot Learning for Classification and Segmentation. Dahyun Kang, Minsu Cho |
| 2022 | IntentVizor: Towards Generic Query Guided Interactive Video Summarization. Guande Wu, Jianzhe Lin, Cláudio T. Silva |
| 2022 | Interact before Align: Leveraging Cross-Modal Knowledge for Domain Adaptive Action Recognition. Lijin Yang, Yifei Huang, Yusuke Sugano, Yoichi Sato |
| 2022 | Interacting Attention Graph for Single Image Two-Hand Reconstruction. Mengcheng Li, Liang An, Hongwen Zhang, Lianpeng Wu, Feng Chen, Tao Yu, Yebin Liu |
| 2022 | Interactive Disentanglement: Learning Concepts by Interacting with their Prototype Representations. Wolfgang Stammer, Marius Memmel, Patrick Schramowski, Kristian Kersting |
| 2022 | Interactive Image Synthesis with Panoptic Layout Generation. Bo Wang, Tao Wu, Minfeng Zhu, Peng Du |
| 2022 | Interactive Multi-Class Tiny-Object Detection. Chunggi Lee, Seonwook Park, Heon Song, Jeongun Ryu, Sanghoon Kim, Haejoon Kim, Sérgio Pereira, Donggeun Yoo |
| 2022 | Interactive Segmentation and Visualization for Tiny Objects in Multi-megapixel Images. Chengyuan Xu, Boning Dong, Noah Stier, Curtis McCully, D. Andrew Howell, Pradeep Sen, Tobias Höllerer |
| 2022 | Interactiveness Field in Human-Object Interactions. Xinpeng Liu, Yong-Lu Li, Xiaoqian Wu, Yu-Wing Tai, Cewu Lu, Chi-Keung Tang |
| 2022 | Interactron: Embodied Adaptive Object Detection. Klemen Kotar, Roozbeh Mottaghi |
| 2022 | Interpretable part-whole hierarchies and conceptual-semantic relationships in neural networks. Nicola Garau, Niccolò Bisagno, Zeno Sambugaro, Nicola Conci |
| 2022 | Interspace Pruning: Using Adaptive Filter Representations to Improve Training of Sparse CNNs. Paul Wimmer, Jens Mehnert, Alexandru Condurache |
| 2022 | IntraQ: Learning Synthetic Images with Intra-Class Heterogeneity for Zero-Shot Network Quantization. Yunshan Zhong, Mingbao Lin, Gongrui Nan, Jianzhuang Liu, Baochang Zhang, Yonghong Tian, Rongrong Ji |
| 2022 | Invariant Grounding for Video Question Answering. Yicong Li, Xiang Wang, Junbin Xiao, Wei Ji, Tat-Seng Chua |
| 2022 | Investigating Top-k White-Box and Transferable Black-box Attack. Chaoning Zhang, Philipp Benz, Adil Karjauv, Jae-Won Cho, Kang Zhang, In So Kweon |
| 2022 | Investigating Tradeoffs in Real-World Video Super-Resolution. Kelvin C. K. Chan, Shangchen Zhou, Xiangyu Xu, Chen Change Loy |
| 2022 | Investigating the Impact of Multi-LiDAR Placement on Object Detection for Autonomous Driving. Hanjiang Hu, Zuxin Liu, Sharad Chitlangia, Akhil Agnihotri, Ding Zhao |
| 2022 | Is Mapping Necessary for Realistic PointGoal Navigation? Ruslan Partsey, Erik Wijmans, Naoki Yokoyama, Oles Dobosevych, Dhruv Batra, Oleksandr Maksymets |
| 2022 | It is Okay to Not Be Okay: Overcoming Emotional Bias in Affective Image Captioning by Contrastive Data Collection. Youssef Mohamed, Faizan Farooq Khan, Kilichbek Haydarov, Mohamed Elhoseiny |
| 2022 | It's About Time: Analog Clock Reading in the Wild. Charig Yang, Weidi Xie, Andrew Zisserman |
| 2022 | It's All In the Teacher: Zero-Shot Quantization Brought Closer to the Teacher. Kanghyun Choi, Hyeyoon Lee, Deokki Hong, Joonsang Yu, Noseong Park, Youngsok Kim, Jinho Lee |
| 2022 | It's Time for Artistic Correspondence in Music and Video. Dídac Surís, Carl Vondrick, Bryan C. Russell, Justin Salamon |
| 2022 | IterMVS: Iterative Probability Estimation for Efficient Multi-View Stereo. Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Marc Pollefeys |
| 2022 | Iterative Corresponding Geometry: Fusing Region and Depth for Highly Efficient 3D Tracking of Textureless Objects. Manuel Stoiber, Martin Sundermeyer, Rudolph Triebel |
| 2022 | Iterative Deep Homography Estimation. Si-Yuan Cao, Jianxin Hu, Ze-Hua Sheng, Hui-Liang Shen |
| 2022 | Ithaca365: Dataset and Driving Perception under Repeated and Challenging Weather Conditions. Carlos Andres Diaz-Ruiz, Youya Xia, Yurong You, Jose Nino, Junan Chen, Josephine Monica, Xiangyu Chen, Katie Luo, Yan Wang, Marc Emond, Wei-Lun Chao, Bharath Hariharan, Kilian Q. Weinberger, Mark E. Campbell |
| 2022 | JIFF: Jointly-aligned Implicit Face Function for High Quality Single View Clothed Human Reconstruction. Yukang Cao, Guanying Chen, Kai Han, Wenqi Yang, Kwan-Yee K. Wong |
| 2022 | JRDB-Act: A Large-scale Dataset for Spatio-temporal Action, Social Group and Activity Detection. Mahsa Ehsanpour, Fatemeh Sadat Saleh, Silvio Savarese, Ian D. Reid, Hamid Rezatofighi |
| 2022 | JoinABLe: Learning Bottom-up Assembly of Parametric CAD Joints. Karl D. D. Willis, Pradeep Kumar Jayaraman, Hang Chu, Yunsheng Tian, Yifei Li, Daniele Grandi, Aditya Sanghi, Linh Tran, Joseph G. Lambourne, Armando Solar-Lezama, Wojciech Matusik |
| 2022 | Joint Distribution Matters: Deep Brownian Distance Covariance for Few-Shot Classification. Jiangtao Xie, Fei Long, Jiaming Lv, Qilong Wang, Peihua Li |
| 2022 | Joint Forecasting of Panoptic Segmentations with Difference Attention. Colin Graber, Cyril Jazra, Wenjie Luo, Liangyan Gui, Alexander G. Schwing |
| 2022 | Joint Global and Local Hierarchical Priors for Learned Image Compression. Jun-Hyuk Kim, Byeongho Heo, Jong-Seok Lee |
| 2022 | Joint Hand Motion and Interaction Hotspots Prediction from Egocentric Videos. Shaowei Liu, Subarna Tripathi, Somdeb Majumdar, Xiaolong Wang |
| 2022 | Joint Video Summarization and Moment Localization by Cross-Task Sample Transfer. Hao Jiang, Yadong Mu |
| 2022 | KG-SP: Knowledge Guided Simple Primitives for Open World Compositional Zero-Shot Learning. Shyamgopal Karthik, Massimiliano Mancini, Zeynep Akata |
| 2022 | KNN Local Attention for Image Restoration. Hunsang Lee, Hyesong Choi, Kwanghoon Sohn, Dongbo Min |
| 2022 | Kernelized Few-shot Object Detection with Efficient Integral Aggregation. Shan Zhang, Lei Wang, Naila Murray, Piotr Koniusz |
| 2022 | KeyTr: Keypoint Transporter for 3D Reconstruction of Deformable Objects in Videos. David Novotný, Ignacio Rocco, Samarth Sinha, Alexandre Carlier, Gael Kerchenbaum, Roman Shapovalov, Nikita Smetanin, Natalia Neverova, Benjamin Graham, Andrea Vedaldi |
| 2022 | Keypoint Transformer: Solving Joint Identification in Challenging Hands and Object Interactions for Accurate 3D Pose Estimation. Shreyas Hampali, Sayan Deb Sarkar, Mahdi Rad, Vincent Lepetit |
| 2022 | Killing Two Birds with One Stone: Efficient and Robust Training of Face Recognition CNNs by Partial FC. Xiang An, Jiankang Deng, Jia Guo, Ziyong Feng, Xuhan Zhu, Jing Yang, Tongliang Liu |
| 2022 | Knowledge Distillation as Efficient Pre-training: Faster Convergence, Higher Data-efficiency, and Better Transferability. Ruifei He, Shuyang Sun, Jihan Yang, Song Bai, Xiaojuan Qi |
| 2022 | Knowledge Distillation via the Target-aware Transformer. Sihao Lin, Hongwei Xie, Bing Wang, Kaicheng Yu, Xiaojun Chang, Xiaodan Liang, Gang Wang |
| 2022 | Knowledge Distillation with the Reused Teacher Classifier. Defang Chen, Jian-Ping Mei, Hailin Zhang, Can Wang, Yan Feng, Chun Chen |
| 2022 | Knowledge Mining with Scene Text for Fine-Grained Recognition. Hao Wang, Junchao Liao, Tianheng Cheng, Zewen Gao, Hao Liu, Bo Ren, Xiang Bai, Wenyu Liu |
| 2022 | Knowledge distillation: A good teacher is patient and consistent. Lucas Beyer, Xiaohua Zhai, Amélie Royer, Larisa Markeeva, Rohan Anil, Alexander Kolesnikov |
| 2022 | Knowledge-Driven Self-Supervised Representation Learning for Facial Action Unit Recognition. Yanan Chang, Shangfei Wang |
| 2022 | Kubric: A scalable dataset generator. Klaus Greff, Francois Belletti, Lucas Beyer, Carl Doersch, Yilun Du, Daniel Duckworth, David J. Fleet, Dan Gnanapragasam, Florian Golemo, Charles Herrmann, Thomas Kipf, Abhijit Kundu, Dmitry Lagun, Issam H. Laradji, Hsueh-Ti Derek Liu, Henning Meyer, Yishu Miao, Derek Nowrouzezahrai, A. Cengiz Öztireli, Etienne Pot, Noha Radwan, Daniel Rebain, Sara Sabour, Mehdi S. M. Sajjadi, Matan Sela, Vincent Sitzmann, Austin Stone, Deqing Sun, Suhani Vora, Ziyu Wang, Tianhao Wu, Kwang Moo Yi, Fangcheng Zhong, Andrea Tagliasacchi |
| 2022 | L-Verse: Bidirectional Generation Between Image and Text. Taehoon Kim, Gwangmo Song, Sihaeng Lee, Sangyun Kim, Yewon Seo, Soonyoung Lee, Seung Hwan Kim, Honglak Lee, Kyunghoon Bae |
| 2022 | L2G: A Simple Local-to-Global Knowledge Transfer Framework for Weakly Supervised Semantic Segmentation. Peng-Tao Jiang, Yuqi Yang, Qibin Hou, Yunchao Wei |
| 2022 | LAKe-Net: Topology-Aware Point Cloud Completion by Localizing Aligned Keypoints. Junshu Tang, Zhijun Gong, Ran Yi, Yuan Xie, Lizhuang Ma |
| 2022 | LAR-SR: A Local Autoregressive Model for Image Super-Resolution. Baisong Guo, Xiaoyun Zhang, Haoning Wu, Yu Wang, Ya Zhang, Yanfeng Wang |
| 2022 | LARGE: Latent-Based Regression through GAN Semantics. Yotam Nitzan, Rinon Gal, Ofir Brenner, Daniel Cohen-Or |
| 2022 | LAS-AT: Adversarial Training with Learnable Attack Strategy. Xiaojun Jia, Yong Zhang, Baoyuan Wu, Ke Ma, Jue Wang, Xiaochun Cao |
| 2022 | LASER: LAtent SpacE Rendering for 2D Visual Localization. Zhixiang Min, Naji Khosravan, Zachary Bessinger, Manjunath Narayana, Sing Bing Kang, Enrique Dunn, Ivaylo Boyadzhiev |
| 2022 | LAVT: Language-Aware Vision Transformer for Referring Image Segmentation. Zhao Yang, Jiaqi Wang, Yansong Tang, Kai Chen, Hengshuang Zhao, Philip H. S. Torr |
| 2022 | LC-FDNet: Learned Lossless Image Compression with Frequency Decomposition Network. Hochang Rhee, Yeong Il Jang, Seyun Kim, Nam Ik Cho |
| 2022 | LD-ConGR: A Large RGB-D Video Dataset for Long-Distance Continuous Gesture Recognition. Dan Liu, Libo Zhang, Yanjun Wu |
| 2022 | LGT-Net: Indoor Panoramic Room Layout Estimation with Geometry-Aware Transformer Network. Zhigang Jiang, Zhongzheng Xiang, Jinhua Xu, Ming Zhao |
| 2022 | LIFT: Learning 4D LiDAR Image Fusion Transformer for 3D Object Detection. Yihan Zeng, Da Zhang, Chunwei Wang, Zhenwei Miao, Ting Liu, Xin Zhan, Dayang Hao, Chao Ma |
| 2022 | LISA: Learning Implicit Shape and Appearance of Hands. Enric Corona, Tomas Hodan, Minh Vo, Francesc Moreno-Noguer, Chris Sweeney, Richard A. Newcombe, Lingni Ma |
| 2022 | LMGP: Lifted Multicut Meets Geometry Projections for Multi-Camera Multi-Object Tracking. Duy M. H. Nguyen, Roberto Henschel, Bodo Rosenhahn, Daniel Sonntag, Paul Swoboda |
| 2022 | LOLNeRF: Learn from One Look. Daniel Rebain, Mark J. Matthews, Kwang Moo Yi, Dmitry Lagun, Andrea Tagliasacchi |
| 2022 | LSVC: A Learning-based Stereo Video Compression Framework. Zhenghao Chen, Guo Lu, Zhihao Hu, Shan Liu, Wei Jiang, Dong Xu |
| 2022 | LTP: Lane-based Trajectory Prediction for Autonomous Driving. Jingke Wang, Tengju Ye, Ziqing Gu, Junbo Chen |
| 2022 | LaTr: Layout-Aware Transformer for Scene-Text VQA. Ali Furkan Biten, Ron Litman, Yusheng Xie, Srikar Appalaraju, R. Manmatha |
| 2022 | Label Matching Semi-Supervised Object Detection. Binbin Chen, Weijie Chen, Shicai Yang, Yunyi Xuan, Jie Song, Di Xie, Shiliang Pu, Mingli Song, Yueting Zhuang |
| 2022 | Label Relation Graphs Enhanced Hierarchical Residual Network for Hierarchical Multi-Granularity Classification. Jingzhou Chen, Peng Wang, Jian Liu, Yuntao Qian |
| 2022 | Label, Verify, Correct: A Simple Few Shot Object Detection Method. Prannay Kaul, Weidi Xie, Andrew Zisserman |
| 2022 | Label-Only Model Inversion Attacks via Boundary Repulsion. Mostafa Kahla, Si Chen, Hoang Anh Just, Ruoxi Jia |
| 2022 | Lagrange Motion Analysis and View Embeddings for Improved Gait Recognition. Tianrui Chai, Annan Li, Shaoxiong Zhang, Zilong Li, Yunhong Wang |
| 2022 | Language as Queries for Referring Video Object Segmentation. Jiannan Wu, Yi Jiang, Peize Sun, Zehuan Yuan, Ping Luo |
| 2022 | Language-Bridged Spatial-Temporal Interaction for Referring Video Object Segmentation. Zihan Ding, Tianrui Hui, Junshi Huang, Xiaoming Wei, Jizhong Han, Si Liu |
| 2022 | Large Loss Matters in Weakly Supervised Multi-Label Classification. Youngwook Kim, Jae-Myung Kim, Zeynep Akata, Jungwoo Lee |
| 2022 | Large-Scale Pre-training for Person Re-identification with Noisy Labels. Dengpan Fu, Dongdong Chen, Hao Yang, Jianmin Bao, Lu Yuan, Lei Zhang, Houqiang Li, Fang Wen, Dong Chen |
| 2022 | Large-scale Video Panoptic Segmentation in the Wild: A Benchmark. Jiaxu Miao, Xiaohan Wang, Yu Wu, Wei Li, Xu Zhang, Yunchao Wei, Yi Yang |
| 2022 | Layer-wised Model Aggregation for Personalized Federated Learning. Xiaosong Ma, Jie Zhang, Song Guo, Wenchao Xu |
| 2022 | Layered Depth Refinement with Mask Guidance. Soo Ye Kim, Jianming Zhang, Simon Niklaus, Yifei Fan, Simon Chen, Zhe Lin, Munchurl Kim |
| 2022 | Learn from Others and Be Yourself in Heterogeneous Federated Learning. Wenke Huang, Mang Ye, Bo Du |
| 2022 | Learnable Irrelevant Modality Dropout for Multimodal Action Recognition on Modality-Specific Annotated Videos. Saghir Alfasly, Jian Lu, Chen Xu, Yuru Zou |
| 2022 | Learnable Lookup Table for Neural Network Quantization. Longguang Wang, Xiaoyu Dong, Yingqian Wang, Li Liu, Wei An, Yulan Guo |
| 2022 | Learned Queries for Efficient Local Attention. Moab Arar, Ariel Shamir, Amit H. Bermano |
| 2022 | Learning 3D Object Shape and Layout without 3D Supervision. Georgia Gkioxari, Nikhila Ravi, Justin Johnson |
| 2022 | Learning ABCs: Approximate Bijective Correspondence for isolating factors of variation with weak supervision. Kieran A. Murphy, Varun Jampani, Srikumar Ramalingam, Ameesh Makadia |
| 2022 | Learning Adaptive Warping for RealWorld Rolling Shutter Correction. Mingdeng Cao, Zhihang Zhong, Jiahao Wang, Yinqiang Zheng, Yujiu Yang |
| 2022 | Learning Affinity from Attention: End-to-End Weakly-Supervised Semantic Segmentation with Transformers. Lixiang Ru, Yibing Zhan, Baosheng Yu, Bo Du |
| 2022 | Learning Affordance Grounding from Exocentric Images. Hongchen Luo, Wei Zhai, Jing Zhang, Yang Cao, Dacheng Tao |
| 2022 | Learning Bayesian Sparse Networks with Full Experience Replay for Continual Learning. Qingsen Yan, Dong Gong, Yuhang Liu, Anton van den Hengel, Javen Qinfeng Shi |
| 2022 | Learning Canonical F-Correlation Projection for Compact Multiview Representation. Yun-Hao Yuan, Jin Li, Yun Li, Jipeng Qiang, Yi Zhu, Xiaobo Shen, Jianping Gou |
| 2022 | Learning Deep Implicit Functions for 3D Shapes with Dynamic Code Clouds. Tianyang Li, Xin Wen, Yu-Shen Liu, Hua Su, Zhizhong Han |
| 2022 | Learning Distinctive Margin toward Active Domain Adaptation. Ming Xie, Yuxi Li, Yabiao Wang, Zekun Luo, Zhenye Gan, Zhongyi Sun, Mingmin Chi, Chengjie Wang, Pei Wang |
| 2022 | Learning Fair Classifiers with Partially Annotated Group Labels. Sangwon Jung, Sanghyuk Chun, Taesup Moon |
| 2022 | Learning Graph Regularisation for Guided Super-Resolution. Riccardo de Lutio, Alexander Becker, Stefano D'Aronco, Stefania Russo, Jan D. Wegner, Konrad Schindler |
| 2022 | Learning Hierarchical Cross-Modal Association for Co-Speech Gesture Generation. Xian Liu, Qianyi Wu, Hang Zhou, Yinghao Xu, Rui Qian, Xinyi Lin, Xiaowei Zhou, Wayne Wu, Bo Dai, Bolei Zhou |
| 2022 | Learning Invisible Markers for Hidden Codes in Offline-to-online Photography. Jun Jia, Zhongpai Gao, Dandan Zhu, Xiongkuo Min, Guangtao Zhai, Xiaokang Yang |
| 2022 | Learning Local Displacements for Point Cloud Completion. Yida Wang, David Joseph Tan, Nassir Navab, Federico Tombari |
| 2022 | Learning Local-Global Contextual Adaptation for Multi-Person Pose Estimation. Nan Xue, Tianfu Wu, Gui-Song Xia, Liangpei Zhang |
| 2022 | Learning Memory-Augmented Unidirectional Metrics for Cross-modality Person Re-identification. Jialun Liu, Yifan Sun, Feng Zhu, Hongbin Pei, Yi Yang, Wenhui Li |
| 2022 | Learning Modal-Invariant and Temporal-Memory for Video-based Visible-Infrared Person Re-Identification. Xinyu Lin, Jinxing Li, Zeyu Ma, Huafeng Li, Shuang Li, Kaixiong Xu, Guangming Lu, David Zhang |
| 2022 | Learning Motion-Dependent Appearance for High-Fidelity Rendering of Dynamic Humans from a Single Camera. Jae Shin Yoon, Duygu Ceylan, Tuanfeng Y. Wang, Jingwan Lu, Jimei Yang, Zhixin Shu, Hyun Soo Park |
| 2022 | Learning Multi-View Aggregation In the Wild for Large-Scale 3D Semantic Segmentation. Damien Robert, Bruno Vallet, Loïc Landrieu |
| 2022 | Learning Multiple Adverse Weather Removal via Two-stage Knowledge Learning and Multi-contrastive Regularization: Toward a Unified Model. Wei-Ting Chen, Zhi-Kai Huang, Cheng-Che Tsai, Hao-Hsiang Yang, Jian-Jiun Ding, Sy-Yen Kuo |
| 2022 | Learning Multiple Dense Prediction Tasks from Partially Annotated Data. Wei-Hong Li, Xialei Liu, Hakan Bilen |
| 2022 | Learning Neural Light Fields with Ray-Space Embedding. Benjamin Attal, Jia-Bin Huang, Michael Zollhöfer, Johannes Kopf, Changil Kim |
| 2022 | Learning Non-target Knowledge for Few-shot Semantic Segmentation. Yuanwei Liu, Nian Liu, Qinglong Cao, Xiwen Yao, Junwei Han, Ling Shao |
| 2022 | Learning Object Context for Novel-view Scene Layout Generation. Xiaotian Qiao, Gerhard P. Hancke, Rynson W. H. Lau |
| 2022 | Learning Optical Flow with Kernel Patch Attention. Ao Luo, Fan Yang, Xin Li, Shuaicheng Liu |
| 2022 | Learning Optimal K-space Acquisition and Reconstruction using Physics-Informed Neural Networks. Wei Peng, Li Feng, Guoying Zhao, Fang Liu |
| 2022 | Learning Part Segmentation through Unsupervised Domain Adaptation from Synthetic Vehicles. Qing Liu, Adam Kortylewski, Zhishuai Zhang, Zizhang Li, Mengqi Guo, Qihao Liu, Xiaoding Yuan, Jiteng Mu, Weichao Qiu, Alan L. Yuille |
| 2022 | Learning Pixel Trajectories with Multiscale Contrastive Random Walks. Zhangxing Bian, Allan Jabri, Alexei A. Efros, Andrew Owens |
| 2022 | Learning Pixel-Level Distinctions for Video Highlight Detection. Fanyue Wei, Biao Wang, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan |
| 2022 | Learning Program Representations for Food Images and Cooking Recipes. Dim P. Papadopoulos, Enrique Mora, Nadiia Chepurko, Kuan Wei Huang, Ferda Ofli, Antonio Torralba |
| 2022 | Learning Robust Image-Based Rendering on Sparse Scene Geometry via Depth Completion. Yuqi Sun, Shili Zhou, Ri Cheng, Weimin Tan, Bo Yan, Lang Fu |
| 2022 | Learning Second Order Local Anomaly for General Face Forgery Detection. Jianwei Fei, Yunshu Dai, Peipeng Yu, Tianrun Shen, Zhihua Xia, Jian Weng |
| 2022 | Learning Semantic Associations for Mirror Detection. Huankang Guan, Jiaying Lin, Rynson W. H. Lau |
| 2022 | Learning Soft Estimator of Keypoint Scale and Orientation with Probabilistic Covariant Loss. Pei Yan, Yihua Tan, Shengzhou Xiong, Yuan Tai, Yansheng Li |
| 2022 | Learning Structured Gaussians to Approximate Deep Ensembles. Ivor J. A. Simpson, Sara Vicente, Neill D. F. Campbell |
| 2022 | Learning To Recognize Procedural Activities with Distant Supervision. Xudong Lin, Fabio Petroni, Gedas Bertasius, Marcus Rohrbach, Shih-Fu Chang, Lorenzo Torresani |
| 2022 | Learning Trajectory-Aware Transformer for Video Super-Resolution. Chengxu Liu, Huan Yang, Jianlong Fu, Xueming Qian |
| 2022 | Learning Transferable Human-Object Interaction Detector with Natural Language Supervision. Suchen Wang, Yueqi Duan, Henghui Ding, Yap-Peng Tan, Kim-Hui Yap, Junsong Yuan |
| 2022 | Learning Video Representations of Human Motion from Synthetic Data. Xi Guo, Wei Wu, Dongliang Wang, Jing Su, Haisheng Su, Weihao Gan, Jian Huang, Qin Yang |
| 2022 | Learning What Not to Segment: A New Perspective on Few-Shot Segmentation. Chunbo Lang, Gong Cheng, Binfei Tu, Junwei Han |
| 2022 | Learning Where to Learn in Cross-View Self-Supervised Learning. Lang Huang, Shan You, Mingkai Zheng, Fei Wang, Chen Qian, Toshihiko Yamasaki |
| 2022 | Learning a Structured Latent Space for Unsupervised Point Cloud Completion. Yingjie Cai, Kwan-Yee Lin, Chao Zhang, Qiang Wang, Xiaogang Wang, Hongsheng Li |
| 2022 | Learning based Multi-modality Image and Video Compression. Guo Lu, Tianxiong Zhong, Jing Geng, Qiang Hu, Dong Xu |
| 2022 | Learning from All Vehicles. Dian Chen, Philipp Krähenbühl |
| 2022 | Learning from Pixel-Level Noisy Label : A New Perspective for Light Field Saliency Detection. Mingtao Feng, Kendong Liu, Liang Zhang, Hongshan Yu, Yaonan Wang, Ajmal Mian |
| 2022 | Learning from Temporal Gradient for Semi-supervised Action Recognition. Junfei Xiao, Longlong Jing, Lin Zhang, Ju He, Qi She, Zongwei Zhou, Alan L. Yuille, Yingwei Li |
| 2022 | Learning from Untrimmed Videos: Self-Supervised Video Representation Learning with Hierarchical Consistency. Zhiwu Qing, Shiwei Zhang, Ziyuan Huang, Yi Xu, Xiang Wang, Mingqian Tang, Changxin Gao, Rong Jin, Nong Sang |
| 2022 | Learning of Global Objective for Network Flow in Multi-Object Tracking. Shuai Li, Yu Kong, Hamid Rezatofighi |
| 2022 | Learning sRGB-to-Raw-RGB De-rendering with Content-Aware Metadata. Seonghyeon Nam, Abhijith Punnappurath, Marcus A. Brubaker, Michael S. Brown |
| 2022 | Learning to Affiliate: Mutual Centralized Learning for Few-shot Classification. Yang Liu, Weifeng Zhang, Chao Xiang, Tu Zheng, Deng Cai, Xiaofei He |
| 2022 | Learning to Align Sequential Actions in the Wild. Weizhe Liu, Bugra Tekin, Huseyin Coskun, Vibhav Vineet, Pascal Fua, Marc Pollefeys |
| 2022 | Learning to Answer Questions in Dynamic Audio-Visual Scenarios. Guangyao Li, Yake Wei, Yapeng Tian, Chenliang Xu, Ji-Rong Wen, Di Hu |
| 2022 | Learning to Anticipate Future with Dynamic Context Removal. Xinyu Xu, Yong-Lu Li, Cewu Lu |
| 2022 | Learning to Collaborate in Decentralized Learning of Personalized Models. Shuangtong Li, Tianyi Zhou, Xinmei Tian, Dacheng Tao |
| 2022 | Learning to Deblur using Light Field Generated and Real Defocus Images. Lingyan Ruan, Bin Chen, Jizhou Li, Miu-Ling Lam |
| 2022 | Learning to Detect Mobile Objects from LiDAR Scans Without Labels. Yurong You, Katie Luo, Cheng Perng Phoo, Wei-Lun Chao, Wen Sun, Bharath Hariharan, Mark E. Campbell, Kilian Q. Weinberger |
| 2022 | Learning to Detect Scene Landmarks for Camera Localization. Tien Do, Ondrej Miksik, Joseph DeGol, Hyun Soo Park, Sudipta N. Sinha |
| 2022 | Learning to Estimate Robust 3D Human Mesh from In-the-Wild Crowded Scenes. Hongsuk Choi, Gyeongsik Moon, Joonkyu Park, Kyoung Mu Lee |
| 2022 | Learning to Find Good Models in RANSAC. Daniel Barath, Luca Cavalli, Marc Pollefeys |
| 2022 | Learning to Imagine: Diversify Memory for Incremental Learning using Unlabeled Data. Yu-Ming Tang, Yi-Xing Peng, Wei-Shi Zheng |
| 2022 | Learning to Learn across Diverse Data Biases in Deep Face Recognition. Chang Liu, Xiang Yu, Yi-Hsuan Tsai, Masoud Faraki, Ramin Moslemi, Manmohan Chandraker, Yun Fu |
| 2022 | Learning to Learn and Remember Super Long Multi-Domain Task Sequence. Zhenyi Wang, Li Shen, Tiehang Duan, Donglin Zhan, Le Fang, Mingchen Gao |
| 2022 | Learning to Learn by Jointly Optimizing Neural Architecture and Weights. Yadong Ding, Yu Wu, Chengyue Huang, Siliang Tang, Yi Yang, Longhui Wei, Yueting Zhuang, Qi Tian |
| 2022 | Learning to Listen: Modeling Non-Deterministic Dyadic Facial Motion. Evonne Ng, Hanbyul Joo, Liwen Hu, Hao Li, Trevor Darrell, Angjoo Kanazawa, Shiry Ginosar |
| 2022 | Learning to Memorize Feature Hallucination for One-Shot Image Generation. Yu Xie, Yanwei Fu, Ying Tai, Yun Cao, Junwei Zhu, Chengjie Wang |
| 2022 | Learning to Prompt for Continual Learning. Zifeng Wang, Zizhao Zhang, Chen-Yu Lee, Han Zhang, Ruoxi Sun, Xiaoqi Ren, Guolong Su, Vincent Perot, Jennifer G. Dy, Tomas Pfister |
| 2022 | Learning to Prompt for Open-Vocabulary Object Detection with Vision-Language Model. Yu Du, Fangyun Wei, Zihe Zhang, Miaojing Shi, Yue Gao, Guoqi Li |
| 2022 | Learning to Refactor Action and Co-occurrence Features for Temporal Action Localization. Kun Xia, Le Wang, Sanping Zhou, Nanning Zheng, Wei Tang |
| 2022 | Learning to Restore 3D Face from In-the-Wild Degraded Images. Zhenyu Zhang, Yanhao Ge, Ying Tai, Xiaoming Huang, Chengjie Wang, Hao Tang, Dongjin Huang, Zhifeng Xie |
| 2022 | Learning to Solve Hard Minimal Problems. Petr Hruby, Timothy Duff, Anton Leykin, Tomás Pajdla |
| 2022 | Learning to Zoom Inside Camera Imaging Pipeline. Chengzhou Tang, Yuqiang Yang, Bing Zeng, Ping Tan, Shuaicheng Liu |
| 2022 | Learning to generate line drawings that convey geometry and semantics. Caroline Chan, Frédo Durand, Phillip Isola |
| 2022 | Learning with Neighbor Consistency for Noisy Labels. Ahmet Iscen, Jack Valmadre, Anurag Arnab, Cordelia Schmid |
| 2022 | Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification. Mouxing Yang, Zhenyu Huang, Peng Hu, Taihao Li, Jiancheng Lv, Xi Peng |
| 2022 | Lepard: Learning partial point cloud matching in rigid and deformable scenes. Yang Li, Tatsuya Harada |
| 2022 | Less is More: Generating Grounded Navigation Instructions from Landmarks. Su Wang, Ceslee Montgomery, Jordi Orbay, Vighnesh Birodkar, Aleksandra Faust, Izzeddin Gur, Natasha Jaques, Austin Waters, Jason Baldridge, Peter Anderson |
| 2022 | Leveling Down in Computer Vision: Pareto Inefficiencies in Fair Deep Classifiers. Dominik Zietlow, Michael Lohaus, Guha Balakrishnan, Matthäus Kleindessner, Francesco Locatello, Bernhard Schölkopf, Chris Russell |
| 2022 | Leverage Your Local and Global Representations: A New Self-Supervised Learning Strategy. Tong Zhang, Congpei Qiu, Wei Ke, Sabine Süsstrunk, Mathieu Salzmann |
| 2022 | Leveraging Adversarial Examples to Quantify Membership Information Leakage. Ganesh Del Grosso, Hamid Jalalzai, Georg Pichler, Catuscia Palamidessi, Pablo Piantanida |
| 2022 | Leveraging Equivariant Features for Absolute Pose Regression. Mohamed Adel Musallam, Vincent Gaudillière, Miguel Ortiz del Castillo, Kassem Al Ismaeil, Djamila Aouada |
| 2022 | Leveraging Real Talking Faces via Self-Supervision for Robust Forgery Detection. Alexandros Haliassos, Rodrigo Mira, Stavros Petridis, Maja Pantic |
| 2022 | Leveraging Self-Supervision for Cross-Domain Crowd Counting. Weizhe Liu, Nikita Durasov, Pascal Fua |
| 2022 | LiDAR Snowfall Simulation for Robust 3D Object Detection. Martin Hahner, Christos Sakaridis, Mario Bijelic, Felix Heide, Fisher Yu, Dengxin Dai, Luc Van Gool |
| 2022 | LiDARCap: Long-range Markerless 3D Human Motion Capture with LiDAR Point Clouds. Jialian Li, Jingyi Zhang, Zhiyong Wang, Siqi Shen, Chenglu Wen, Yuexin Ma, Lan Xu, Jingyi Yu, Cheng Wang |
| 2022 | LiT: Zero-Shot Transfer with Locked-image text Tuning. Xiaohua Zhai, Xiao Wang, Basil Mustafa, Andreas Steiner, Daniel Keysers, Alexander Kolesnikov, Lucas Beyer |
| 2022 | Lifelong Graph Learning. Chen Wang, Yuheng Qiu, Dasong Gao, Sebastian A. Scherer |
| 2022 | Lifelong Unsupervised Domain Adaptive Person Re-identification with Coordinated Anti-forgetting and Adaptation. Zhipeng Huang, Zhizheng Zhang, Cuiling Lan, Wenjun Zeng, Peng Chu, Quanzeng You, Jiang Wang, Zicheng Liu, Zheng-Jun Zha |
| 2022 | Light Field Neural Rendering. Mohammed Suhail, Carlos Esteves, Leonid Sigal, Ameesh Makadia |
| 2022 | Likert Scoring with Grade Decoupling for Long-term Action Assessment. Angchi Xu, Ling-An Zeng, Wei-Shi Zheng |
| 2022 | Lite Pose: Efficient Architecture Design for 2D Human Pose Estimation. Yihan Wang, Muyang Li, Han Cai, Wei-Ming Chen, Song Han |
| 2022 | Lite Vision Transformer with Enhanced Self-Attention. Chenglin Yang, Yilin Wang, Jianming Zhang, He Zhang, Zijun Wei, Zhe Lin, Alan L. Yuille |
| 2022 | Lite-MDETR: A Lightweight Multi-Modal Detector. Qian Lou, Yen-Chang Hsu, Burak Uzkent, Ting Hua, Yilin Shen, Hongxia Jin |
| 2022 | Local Attention Pyramid for Scene Image Generation. Sang-Heon Shim, Sangeek Hyun, Dae Hyun Bae, Jae-Pil Heo |
| 2022 | Local Learning Matters: Rethinking Data Heterogeneity in Federated Learning. Matías Mendieta, Taojiannan Yang, Pu Wang, Minwoo Lee, Zhengming Ding, Chen Chen |
| 2022 | Local Texture Estimator for Implicit Representation Function. Jaewon Lee, Kyong Hwan Jin |
| 2022 | Local-Adaptive Face Recognition via Graph-based Meta-Clustering and Regularized Adaptation. Wenbin Zhu, Chien-Yi Wang, Kuan-Lun Tseng, Shang-Hong Lai, Baoyuan Wang |
| 2022 | Locality-Aware Inter-and Intra-Video Reconstruction for Self-Supervised Correspondence Learning. Liulei Li, Tianfei Zhou, Wenguan Wang, Lu Yang, Jianwu Li, Yi Yang |
| 2022 | Localization Distillation for Dense Object Detection. Zhaohui Zheng, Rongguang Ye, Ping Wang, Dongwei Ren, Wangmeng Zuo, Qibin Hou, Ming-Ming Cheng |
| 2022 | Localized Adversarial Domain Generalization. Wei Zhu, Le Lu, Jing Xiao, Mei Han, Jiebo Luo, Adam P. Harrison |
| 2022 | Location-Free Human Pose Estimation. Xixia Xu, Yingguo Gao, Ke Yan, Xue Lin, Qi Zou |
| 2022 | Long- Tailed Recognition via Weight Balancing. Shaden Alshammari, Yu-Xiong Wang, Deva Ramanan, Shu Kong |
| 2022 | Long-Short Temporal Contrastive Learning of Video Transformers. Jue Wang, Gedas Bertasius, Du Tran, Lorenzo Torresani |
| 2022 | Long-tail Recognition via Compositional Knowledge Transfer. Sarah Parisot, Pedro M. Esperança, Steven McDonagh, Tamas J. Madarasz, Yongxin Yang, Zhenguo Li |
| 2022 | Long-tailed Visual Recognition via Gaussian Clouded Logit Adjustment. Mengke Li, Yiu-ming Cheung, Yang Lu |
| 2022 | Long-term Video Frame Interpolation via Feature Propagation. Dawit Mureja Argaw, In So Kweon |
| 2022 | Long-term Visual Map Sparsification with Heterogeneous GNN. Ming-fang Chang, Yipu Zhao, Rajvi Shah, Jakob J. Engel, Michael Kaess, Simon Lucey |
| 2022 | Look Back and Forth: Video Super-Resolution with Explicit Temporal Difference Modeling. Takashi Isobe, Xu Jia, Xin Tao, Changlin Li, Ruihuang Li, Yongjie Shi, Jing Mu, Huchuan Lu, Yu-Wing Tai |
| 2022 | Look Closer to Supervise Better: One-Shot Font Generation via Component-Based Discriminator. Yuxin Kong, Canjie Luo, Weihong Ma, Qiyuan Zhu, Shenggao Zhu, Nicholas Jing Yuan, Lianwen Jin |
| 2022 | Look Outside the Room: Synthesizing A Consistent Long-Term 3D Scene Video from A Single Image. Xuanchi Ren, Xiaolong Wang |
| 2022 | Look for the Change: Learning Object States and State-Modifying Actions from Untrimmed Web Videos. Tomás Soucek, Jean-Baptiste Alayrac, Antoine Miech, Ivan Laptev, Josef Sivic |
| 2022 | Low-Resource Adaptation for Personalized Co-Speech Gesture Generation. Chaitanya Ahuja, Dong Won Lee, Louis-Philippe Morency |
| 2022 | M Tsu-Jui Fu, Xin Eric Wang, Scott T. Grafton, Miguel P. Eckstein, William Yang Wang |
| 2022 | M2I: From Factored Marginal Trajectory Prediction to Interactive Prediction. Qiao Sun, Xin Huang, Junru Gu, Brian C. Williams, Hang Zhao |
| 2022 | M3T: three-dimensional Medical image classifier using Multi-plane and Multi-slice Transformer. Jinseong Jang, Dosik Hwang |
| 2022 | M5Product: Self-harmonized Contrastive Learning for E-commercial Multi-modal Pretraining. Xiao Dong, Xunlin Zhan, Yangxin Wu, Yunchao Wei, Michael C. Kampffmeyer, Xiaoyong Wei, Minlong Lu, Yaowei Wang, Xiaodan Liang |
| 2022 | MAD: A Scalable Dataset for Language Grounding in Videos from Movie Audio Descriptions. Mattia Soldan, Alejandro Pardo, Juan León Alcázar, Fabian Caba Heilbron, Chen Zhao, Silvio Giancola, Bernard Ghanem |
| 2022 | MAT: Mask-Aware Transformer for Large Hole Image Inpainting. Wenbo Li, Zhe Lin, Kun Zhou, Lu Qi, Yi Wang, Jiaya Jia |
| 2022 | MAXIM: Multi-Axis MLP for Image Processing. Zhengzhong Tu, Hossein Talebi, Han Zhang, Feng Yang, Peyman Milanfar, Alan C. Bovik, Yinxiao Li |
| 2022 | MDAN: Multi-level Dependent Attention Network for Visual Emotion Analysis. Liwen Xu, Zhengtao Wang, Bin Wu, Simon Lui |
| 2022 | MERLOT RESERVE: Neural Script Knowledge through Vision and Language and Sound. Rowan Zellers, Jiasen Lu, Ximing Lu, Youngjae Yu, Yanpeng Zhao, Mohammadreza Salehi, Aditya Kusupati, Jack Hessel, Ali Farhadi, Yejin Choi |
| 2022 | MHFormer: Multi-Hypothesis Transformer for 3D Human Pose Estimation. Wenhao Li, Hong Liu, Hao Tang, Pichao Wang, Luc Van Gool |
| 2022 | MISF: Multi-level Interactive Siamese Filtering for High-Fidelity Image Inpainting. Xiaoguang Li, Qing Guo, Di Lin, Ping Li, Wei Feng, Song Wang |
| 2022 | MLP-3D: A MLP-like 3D Architecture with Grouped Time Mixing. Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Tao Mei |
| 2022 | MLSLT: Towards Multilingual Sign Language Translation. Aoxiong Yin, Zhou Zhao, Weike Jin, Meng Zhang, Xingshan Zeng, Xiaofei He |
| 2022 | MM-TTA: Multi-Modal Test-Time Adaptation for 3D Semantic Segmentation. Inkyu Shin, Yi-Hsuan Tsai, Bingbing Zhuang, Samuel Schulter, Buyu Liu, Sparsh Garg, In So Kweon, Kuk-Jin Yoon |
| 2022 | MNSRNet: Multimodal Transformer Network for 3D Surface Super-Resolution. Wuyuan Xie, Tengcong Huang, Miaohui Wang |
| 2022 | MPC: Multi-view Probabilistic Clustering. Junjie Liu, Junlong Liu, Shaotian Yan, Rongxin Jiang, Xiang Tian, Boxuan Gu, Yaowu Chen, Chen Shen, Jianqiang Huang |
| 2022 | MPViT: Multi-Path Vision Transformer for Dense Prediction. Youngwan Lee, Jonghee Kim, Jeffrey Willette, Sung Ju Hwang |
| 2022 | MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection. Rui Dai, Srijan Das, Kumara Kahatapitiya, Michael S. Ryoo, François Brémond |
| 2022 | MS2DG-Net: Progressive Correspondence Learning via Multiple Sparse Semantics Dynamic Graph. Luanyuan Dai, Yizhang Liu, Jiayi Ma, Lifang Wei, Taotao Lai, Changcai Yang, Riqing Chen |
| 2022 | MSDN: Mutually Semantic Distillation Network for Zero-Shot Learning. Shiming Chen, Ziming Hong, Guo-Sen Xie, Wenhan Yang, Qinmu Peng, Kai Wang, Jian Zhao, Xinge You |
| 2022 | MSG-Transformer: Exchanging Local Spatial Information by Manipulating Messenger Tokens. Jiemin Fang, Lingxi Xie, Xinggang Wang, Xiaopeng Zhang, Wenyu Liu, Qi Tian |
| 2022 | MSTR: Multi-Scale Transformer for End-to-End Human-Object Interaction Detection. Bumsoo Kim, Jonghwan Mun, Kyoung-Woon On, Minchul Shin, Junhyun Lee, Eun-Sol Kim |
| 2022 | MUM: Mix Image Tiles and UnMix Feature Tiles for Semi-Supervised Object Detection. Jongmok Kim, Jooyoung Jang, Seunghyeon Seo, Jisoo Jeong, Jongkeun Na, Nojun Kwak |
| 2022 | MUSE-VAE: Multi-Scale VAE for Environment-Aware Long Term Trajectory Prediction. Mihee Lee, Samuel S. Sohn, Seonghyeon Moon, Sejong Yoon, Mubbasir Kapadia, Vladimir Pavlovic |
| 2022 | MVS2D: Efficient Multiview Stereo via Attention-Driven 2D Convolutions. Zhenpei Yang, Zhile Ren, Qi Shan, Qixing Huang |
| 2022 | MViTv2: Improved Multiscale Vision Transformers for Classification and Detection. Yanghao Li, Chao-Yuan Wu, Haoqi Fan, Karttikeya Mangalam, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer |
| 2022 | Maintaining Reasoning Consistency in Compositional Visual Question Answering. Chenchen Jing, Yunde Jia, Yuwei Wu, Xinyu Liu, Qi Wu |
| 2022 | Make It Move: Controllable Image-to-Video Generation with Text Descriptions. Yaosi Hu, Chong Luo, Zhenzhong Chen |
| 2022 | ManiTrans: Entity-Level Text-Guided Image Manipulation via Token-wise Semantic Alignment and Generation. Jianan Wang, Guansong Lu, Hang Xu, Zhenguo Li, Chunjing Xu, Yanwei Fu |
| 2022 | Manifold Learning Benefits GANs. Yao Ni, Piotr Koniusz, Richard I. Hartley, Richard Nock |
| 2022 | Many-to-many Splatting for Efficient Video Frame Interpolation. Ping Hu, Simon Niklaus, Stan Sclaroff, Kate Saenko |
| 2022 | Marginal Contrastive Correspondence for Guided Image Generation. Fangneng Zhan, Yingchen Yu, Rongliang Wu, Jiahui Zhang, Shijian Lu, Changgong Zhang |
| 2022 | Mask Transfiner for High-Quality Instance Segmentation. Lei Ke, Martin Danelljan, Xia Li, Yu-Wing Tai, Chi-Keung Tang, Fisher Yu |
| 2022 | Mask-guided Spectral-wise Transformer for Efficient Hyperspectral Image Reconstruction. Yuanhao Cai, Jing Lin, Xiaowan Hu, Haoqian Wang, Xin Yuan, Yulun Zhang, Radu Timofte, Luc Van Gool |
| 2022 | MaskGIT: Masked Generative Image Transformer. Huiwen Chang, Han Zhang, Lu Jiang, Ce Liu, William T. Freeman |
| 2022 | Masked Autoencoders Are Scalable Vision Learners. Kaiming He, Xinlei Chen, Saining Xie, Yanghao Li, Piotr Dollár, Ross B. Girshick |
| 2022 | Masked Feature Prediction for Self-Supervised Visual Pre-Training. Chen Wei, Haoqi Fan, Saining Xie, Chao-Yuan Wu, Alan L. Yuille, Christoph Feichtenhofer |
| 2022 | Masked-attention Mask Transformer for Universal Image Segmentation. Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexander Kirillov, Rohit Girdhar |
| 2022 | Masking Adversarial Damage: Finding Adversarial Saliency for Robust and Sparse Network. Byung-Kwan Lee, Junho Kim, Yong Man Ro |
| 2022 | Matching Feature Sets for Few-Shot Image Classification. Arman Afrasiyabi, Hugo Larochelle, Jean-François Lalonde, Christian Gagné |
| 2022 | MatteFormer: Transformer-Based Image Matting via Prior-Tokens. Gyutae Park, Sungjoon Son, Jaeyoung Yoo, Seho Kim, Nojun Kwak |
| 2022 | Maximum Consensus by Weighted Influences of Monotone Boolean Functions. Erchuan Zhang, David Suter, Ruwan B. Tennakoon, Tat-Jun Chin, Alireza Bab-Hadiashar, Giang Truong, Syed Zulqarnain Gilani |
| 2022 | Maximum Spatial Perturbation Consistency for Unpaired Image-to-Image Translation. Yanwu Xu, Shaoan Xie, Wenhao Wu, Kun Zhang, Mingming Gong, Kayhan Batmanghelich |
| 2022 | MeMOT: Multi-Object Tracking with Memory. Jiarui Cai, Mingze Xu, Wei Li, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto |
| 2022 | MeMViT: Memory-Augmented Multiscale Vision Transformer for Efficient Long-Term Video Recognition. Chao-Yuan Wu, Yanghao Li, Karttikeya Mangalam, Haoqi Fan, Bo Xiong, Jitendra Malik, Christoph Feichtenhofer |
| 2022 | Measuring Compositional Consistency for Video Question Answering. Mona Gandhi, Mustafa Omer Gul, Eva Prakash, Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala |
| 2022 | Medial Spectral Coordinates for 3D Shape Analysis. Morteza Rezanejad, Mohammad Khodadad, Hamidreza Mahyar, Herve Lombaert, Michael Gruninger, Dirk B. Walther, Kaleem Siddiqi |
| 2022 | Mega-NeRF: Scalable Construction of Large-Scale NeRFs for Virtual Fly- Throughs. Haithem Turki, Deva Ramanan, Mahadev Satyanarayanan |
| 2022 | Memory-Augmented Non-Local Attention for Video Super-Resolution. Jiyang Yu, Jingen Liu, Liefeng Bo, Tao Mei |
| 2022 | Memory-augmented Deep Conditional Unfolding Network for Pansharpening. Gang Yang, Man Zhou, Keyu Yan, Aiping Liu, Xueyang Fu, Fan Wang |
| 2022 | Merry Go Round: Rotate a Frame and Fool a DNN. Daksh Thapar, Aditya Nigam, Chetan Arora |
| 2022 | Meta Agent Teaming Active Learning for Pose Estimation. Jia Gong, Zhipeng Fan, Qiuhong Ke, Hossein Rahmani, Jun Liu |
| 2022 | Meta Convolutional Neural Networks for Single Domain Generalization. Chaoqun Wan, Xu Shen, Yonggang Zhang, Zhiheng Yin, Xinmei Tian, Feng Gao, Jianqiang Huang, Xian-Sheng Hua |
| 2022 | Meta Distribution Alignment for Generalizable Person Re-Identification. Hao Ni, Jingkuan Song, Xiaopeng Luo, Feng Zheng, Wen Li, Heng Tao Shen |
| 2022 | Meta-attention for ViT-backed Continual Learning. Mengqi Xue, Haofei Zhang, Jie Song, Mingli Song |
| 2022 | MetaFSCIL: A Meta-Learning Approach for Few-Shot Class Incremental Learning. Zhixiang Chi, Li Gu, Huan Liu, Yang Wang, Yuanhao Yu, Jin Tang |
| 2022 | MetaFormer is Actually What You Need for Vision. Weihao Yu, Mi Luo, Pan Zhou, Chenyang Si, Yichen Zhou, Xinchao Wang, Jiashi Feng, Shuicheng Yan |
| 2022 | MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. Ben Usman, Andrea Tagliasacchi, Kate Saenko, Avneesh Sud |
| 2022 | Mimicking the Oracle: An Initial Phase Decorrelation Approach for Class Incremental Learning. Yujun Shi, Kuangqi Zhou, Jian Liang, Zihang Jiang, Jiashi Feng, Philip H. S. Torr, Song Bai, Vincent Y. F. Tan |
| 2022 | MiniViT: Compressing Vision Transformers with Weight Multiplexing. Jinnian Zhang, Houwen Peng, Kan Wu, Mengchen Liu, Bin Xiao, Jianlong Fu, Lu Yuan |
| 2022 | Mining Multi-View Information: A Strong Self-Supervised Framework for Depth-based 3D Hand Pose and Mesh Estimation. Pengfei Ren, Haifeng Sun, Jiachang Hao, Jingyu Wang, Qi Qi, Jianxin Liao |
| 2022 | Mip-NeRF 360: Unbounded Anti-Aliased Neural Radiance Fields. Jonathan T. Barron, Ben Mildenhall, Dor Verbin, Pratul P. Srinivasan, Peter Hedman |
| 2022 | Mix and Localize: Localizing Sound Sources in Mixtures. Xixi Hu, Ziyang Chen, Andrew Owens |
| 2022 | MixFormer: End-to-End Tracking with Iterative Mixed Attention. Yutao Cui, Cheng Jiang, Limin Wang, Gangshan Wu |
| 2022 | MixFormer: Mixing Features across Windows and Dimensions. Qiang Chen, Qiman Wu, Jian Wang, Qinghao Hu, Tao Hu, Errui Ding, Jian Cheng, Jingdong Wang |
| 2022 | MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video. Jinlu Zhang, Zhigang Tu, Jianyu Yang, Yujin Chen, Junsong Yuan |
| 2022 | Mixed Differential Privacy in Computer Vision. Aditya Golatkar, Alessandro Achille, Yu-Xiang Wang, Aaron Roth, Michael Kearns, Stefano Soatto |
| 2022 | MobRecon: Mobile-Friendly Hand Mesh Reconstruction from Monocular Image. Xingyu Chen, Yufeng Liu, Yajiao Dong, Xiong Zhang, Chongyang Ma, Yanmin Xiong, Yuan Zhang, Xiaoyan Guo |
| 2022 | Mobile-Former: Bridging MobileNet and Transformer. Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Xiaoyi Dong, Lu Yuan, Zicheng Liu |
| 2022 | Modality-Agnostic Learning for Radar-Lidar Fusion in Vehicle Detection. Yu-Jhe Li, Jinhyung Park, Matthew O'Toole, Kris Kitani |
| 2022 | Modeling 3D Layout For Group Re-Identification. Quan Zhang, Kaiheng Dang, Jian-Huang Lai, Zhan-Xiang Feng, Xiaohua Xie |
| 2022 | Modeling Image Composition for Complex Scene Generation. Zuopeng Yang, Daqing Liu, Chaoyue Wang, Jie Yang, Dacheng Tao |
| 2022 | Modeling Indirect Illumination for Inverse Rendering. Yuanqing Zhang, Jiaming Sun, Xingyi He, Huan Fu, Rongfei Jia, Xiaowei Zhou |
| 2022 | Modeling Motion with Multi-Modal Features for Text-Based Video Segmentation. Wangbo Zhao, Kai Wang, Xiangxiang Chu, Fuzhao Xue, Xinchao Wang, Yang You |
| 2022 | Modeling sRGB Camera Noise with Normalizing Flows. Shayan Kousha, Ali Maleky, Michael S. Brown, Marcus A. Brubaker |
| 2022 | Modular Action Concept Grounding in Semantic Video Prediction. Wei Yu, Wenxin Chen, Songheng Yin, Steve Easterbrook, Animesh Garg |
| 2022 | Modulated Contrast for Versatile Image Synthesis. Fangneng Zhan, Jiahui Zhang, Yingchen Yu, Rongliang Wu, Shijian Lu |
| 2022 | MogFace: Towards a Deeper Appreciation on Face Detection. Yang Liu, Fei Wang, Jiankang Deng, Zhipeng Zhou, Baigui Sun, Hao Li |
| 2022 | MonoDTR: Monocular 3D Object Detection with Depth-Aware Transformer. Kuan-Chih Huang, Tsung-Han Wu, Hung-Ting Su, Winston H. Hsu |
| 2022 | MonoGround: Detecting Monocular 3D Objects from the Ground. Zequn Qin, Xi Li |
| 2022 | MonoJSG: Joint Semantic and Geometric Cost Volume for Monocular 3D Object Detection. Qing Lian, Peiliang Li, Xiaozhi Chen |
| 2022 | MonoScene: Monocular 3D Semantic Scene Completion. Anh-Quan Cao, Raoul de Charette |
| 2022 | More than Words: In-the-Wild Visually-Driven Prosody for Text-to-Speech. Michael Hassid, Michelle Tadmor Ramanovich, Brendan Shillingford, Miaosen Wang, Ye Jia, Tal Remez |
| 2022 | Motion-Adjustable Neural Implicit Video Representation. Long Mai, Feng Liu |
| 2022 | Motion-aware Contrastive Video Representation Learning via Foreground-background Merging. Shuangrui Ding, Maomao Li, Tianyu Yang, Rui Qian, Haohang Xu, Qingyi Chen, Jue Wang, Hongkai Xiong |
| 2022 | Motion-from-Blur: 3D Shape and Motion Estimation of Motion-blurred Objects in Videos. Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Marc Pollefeys |
| 2022 | Motion-modulated Temporal Fragment Alignment Network For Few-Shot Action Recognition. Jiamin Wu, Tianzhu Zhang, Zhe Zhang, Feng Wu, Yongdong Zhang |
| 2022 | MotionAug: Augmentation with Physical Correction for Human Motion Prediction. Takahiro Maeda, Norimichi Ukita |
| 2022 | Motron: Multimodal Probabilistic Human Motion Forecasting. Tim Salzmann, Marco Pavone, Markus Ryll |
| 2022 | Moving Window Regression: A Novel Approach to Ordinal Regression. Nyeong-Ho Shin, Seon-Ho Lee, Chang-Su Kim |
| 2022 | Mr.BiQ: Post-Training Non-Uniform Quantization based on Minimizing the Reconstruction Error. Yongkweon Jeon, Chungman Lee, Eulrang Cho, Yeonju Ro |
| 2022 | MuIT: An End-to-End Multitask Learning Transformer. Deblina Bhattacharjee, Tong Zhang, Sabine Süsstrunk, Mathieu Salzmann |
| 2022 | MuKEA: Multimodal Knowledge Extraction and Accumulation for Knowledge-based Visual Question Answering. Yang Ding, Jing Yu, Bang Liu, Yue Hu, Mingxin Cui, Qi Wu |
| 2022 | Multi-Dimensional, Nuanced and Subjective - Measuring the Perception of Facial Expressions. De'Aira Bryant, Siqi Deng, Nashlie Sephus, Wei Xia, Pietro Perona |
| 2022 | Multi-Frame Self-Supervised Depth with Transformers. Vitor Guizilini, Rares Ambrus, Dian Chen, Sergey Zakharov, Adrien Gaidon |
| 2022 | Multi-Granularity Alignment Domain Adaptation for Object Detection. Wenzhang Zhou, Dawei Du, Libo Zhang, Tiejian Luo, Yanjun Wu |
| 2022 | Multi-Level Representation Learning with Semantic Alignment for Referring Video Object Segmentation. Dongming Wu, Xingping Dong, Ling Shao, Jianbing Shen |
| 2022 | Multi-Modal Dynamic Graph Transformer for Visual Grounding. Sijia Chen, Baochun Li |
| 2022 | Multi-Object Tracking Meets Moving UAV. Shuai Liu, Xin Li, Huchuan Lu, You He |
| 2022 | Multi-Objective Diverse Human Motion Prediction with Knowledge Distillation. Hengbo Ma, Jiachen Li, Ramtin Hosseini, Masayoshi Tomizuka, Chiho Choi |
| 2022 | Multi-Person Extreme Motion Prediction. Wen Guo, Xiaoyu Bie, Xavier Alameda-Pineda, Francesc Moreno-Noguer |
| 2022 | Multi-Robot Active Mapping via Neural Bipartite Graph Matching. Kai Ye, Siyan Dong, Qingnan Fan, He Wang, Li Yi, Fei Xia, Jue Wang, Baoquan Chen |
| 2022 | Multi-Scale High-Resolution Vision Transformer for Semantic Segmentation. Jiaqi Gu, Hyoukjun Kwon, Dilin Wang, Wei Ye, Meng Li, Yu-Hsin Chen, Liangzhen Lai, Vikas Chandra, David Z. Pan |
| 2022 | Multi-Scale Memory-Based Video Deblurring. Bo Ji, Angela Yao |
| 2022 | Multi-Source Uncertainty Mining for Deep Unsupervised Saliency Detection. Yifan Wang, Wenbo Zhang, Lijun Wang, Ting Liu, Huchuan Lu |
| 2022 | Multi-View Consistent Generative Adversarial Networks for 3D-aware Image Synthesis. Xuanmeng Zhang, Zhedong Zheng, Daiheng Gao, Bang Zhang, Pan Pan, Yi Yang |
| 2022 | Multi-View Depth Estimation by Fusing Single-View Depth Probability with Multi-View Geometry. Gwangbin Bae, Ignas Budvytis, Roberto Cipolla |
| 2022 | Multi-View Mesh Reconstruction with Neural Deferred Shading. Markus Worchel, Rodrigo Diaz, Weiwen Hu, Oliver Schreer, Ingo Feldmann, Peter Eisert |
| 2022 | Multi-View Transformer for 3D Visual Grounding. Shijia Huang, Yilun Chen, Jiaya Jia, Liwei Wang |
| 2022 | Multi-class Token Transformer for Weakly Supervised Semantic Segmentation. Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Dan Xu |
| 2022 | Multi-grained Spatio-Temporal Features Perceived Network for Event-based Lip-Reading. Ganchao Tan, Yang Wang, Han Han, Yang Cao, Feng Wu, Zhengjun Zha |
| 2022 | Multi-instance Point Cloud Registration by Efficient Correspondence Clustering. Weixuan Tang, Danping Zou |
| 2022 | Multi-label Classification with Partial Annotations using Class-aware Selective Loss. Emanuel Ben Baruch, Tal Ridnik, Itamar Friedman, Avi Ben-Cohen, Nadav Zamir, Asaf Noy, Lihi Zelnik-Manor |
| 2022 | Multi-label Iterated Learning for Image Classification with Label Ambiguity. Sai Rajeswar, Pau Rodríguez, Soumye Singhal, David Vázquez, Aaron C. Courville |
| 2022 | Multi-level Feature Learning for Contrastive Multi-view Clustering. Jie Xu, Huayi Tang, Yazhou Ren, Liang Peng, Xiaofeng Zhu, Lifang He |
| 2022 | Multi-marginal Contrastive Learning for Multilabel Subcellular Protein Localization. Ziyi Liu, Zengmao Wang, Bo Du |
| 2022 | Multi-modal Alignment using Representation Codebook. Jiali Duan, Liqun Chen, Son Tran, Jinyu Yang, Yi Xu, Belinda Zeng, Trishul Chilimbi |
| 2022 | Multi-modal Extreme Classification. Anshul Mittal, Kunal Dahiya, Shreya Malani, Janani Ramaswamy, Seba Ann Kuruvilla, Jitendra Ajmera, Keng-hao Chang, Sumeet Agarwal, Purushottam Kar, Manik Varma |
| 2022 | Multidimensional Belief Quantification for Label-Efficient Meta-Learning. Deep Shankar Pandey, Qi Yu |
| 2022 | Multimodal Colored Point Cloud to Image Alignment. Noam Rotstein, Amit Bracha, Ron Kimmel |
| 2022 | Multimodal Dynamics: Dynamical Fusion for Trustworthy Multimodal Classification. Zongbo Han, Fan Yang, Junzhou Huang, Changqing Zhang, Jianhua Yao |
| 2022 | Multimodal Material Segmentation. Yupeng Liang, Ryosuke Wakaki, Shohei Nobuhara, Ko Nishino |
| 2022 | Multimodal Token Fusion for Vision Transformers. Yikai Wang, Xinghao Chen, Lele Cao, Wenbing Huang, Fuchun Sun, Yunhe Wang |
| 2022 | Multiview Transformers for Video Recognition. Shen Yan, Xuehan Xiong, Anurag Arnab, Zhichao Lu, Mi Zhang, Chen Sun, Cordelia Schmid |
| 2022 | Mutual Information-driven Pan-sharpening. Man Zhou, Keyu Yan, Jie Huang, Zihe Yang, Xueyang Fu, Feng Zhao |
| 2022 | Mutual Quantization for Cross-Modal Search with Noisy Labels. Erkun Yang, Dongren Yao, Tongliang Liu, Cheng Deng |
| 2022 | NAN: Noise-Aware NeRFs for Burst-Denoising. Naama Pearl, Tali Treibitz, Simon Korman |
| 2022 | NFormer: Robust Person Re-identification with Neighbor Transformer. Haochen Wang, Jiayi Shen, Yongtuo Liu, Yan Gao, Efstratios Gavves |
| 2022 | NICE-SLAM: Neural Implicit Scalable Encoding for SLAM. Zihan Zhu, Songyou Peng, Viktor Larsson, Weiwei Xu, Hujun Bao, Zhaopeng Cui, Martin R. Oswald, Marc Pollefeys |
| 2022 | NICGSlowDown: Evaluating the Efficiency Robustness of Neural Image Caption Generation Models. Simin Chen, Zihe Song, Mirazul Haque, Cong Liu, Wei Yang |
| 2022 | NLX-GPT: A Model for Natural Language Explanations in Vision and Vision-Language Tasks. Fawaz Sammani, Tanmoy Mukherjee, Nikos Deligiannis |
| 2022 | NOC-REK: Novel Object Captioning with Retrieved Vocabulary from External Knowledge. Duc Minh Vo, Hong Chen, Akihiro Sugimoto, Hideki Nakayama |
| 2022 | NODEO: A Neural Ordinary Differential Equation Based Optimization Framework for Deformable Image Registration. Yifan Wu, Tom Z. Jiahao, Jiancong Wang, Paul A. Yushkevich, M. Ani Hsieh, James C. Gee |
| 2022 | NPBG++: Accelerating Neural Point-Based Graphics. Ruslan Rakhimov, Andrei-Timotei Ardelean, Victor Lempitsky, Evgeny Burnaev |
| 2022 | NeRF in the Dark: High Dynamic Range View Synthesis from Noisy Raw Images. Ben Mildenhall, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan, Jonathan T. Barron |
| 2022 | NeRF-Editing: Geometry Editing of Neural Radiance Fields. Yu-Jie Yuan, Yang-Tian Sun, Yu-Kun Lai, Yuewen Ma, Rongfei Jia, Lin Gao |
| 2022 | NeRFReN: Neural Radiance Fields with Reflections. Yuan-Chen Guo, Di Kang, Linchao Bao, Yu He, Song-Hai Zhang |
| 2022 | NeRFusion: Fusing Radiance Fields for Large-Scale Scene Reconstruction. Xiaoshuai Zhang, Sai Bi, Kalyan Sunkavalli, Hao Su, Zexiang Xu |
| 2022 | Negative-Aware Attention Framework for Image-Text Matching. Kun Zhang, Zhendong Mao, Quan Wang, Yongdong Zhang |
| 2022 | Nested Collaborative Learning for Long-Tailed Visual Recognition. Jun Li, Zichang Tan, Jun Wan, Zhen Lei, Guodong Guo |
| 2022 | Nested Hyperbolic Spaces for Dimensionality Reduction and Hyperbolic NN Design. Xiran Fan, Chun-Hao Yang, Baba C. Vemuri |
| 2022 | NeurMiPs: Neural Mixture of Planar Experts for View Synthesis. Zhi-Hao Lin, Wei-Chiu Ma, Hao-Yu Hsu, Yu-Chiang Frank Wang, Shenlong Wang |
| 2022 | Neural 3D Scene Reconstruction with the Manhattan-world Assumption. Haoyu Guo, Sida Peng, Haotong Lin, Qianqian Wang, Guofeng Zhang, Hujun Bao, Xiaowei Zhou |
| 2022 | Neural 3D Video Synthesis from Multi-view Video. Tianye Li, Mira Slavcheva, Michael Zollhöfer, Simon Green, Christoph Lassner, Changil Kim, Tanner Schmidt, Steven Lovegrove, Michael Goesele, Richard A. Newcombe, Zhaoyang Lv |
| 2022 | Neural Architecture Search with Representation Mutual Information. Xiawu Zheng, Xiang Fei, Lei Zhang, Chenglin Wu, Fei Chao, Jianzhuang Liu, Wei Zeng, Yonghong Tian, Rongrong Ji |
| 2022 | Neural Collaborative Graph Machines for Table Structure Recognition. Hao Liu, Xin Li, Bing Liu, Deqiang Jiang, Yinsong Liu, Bo Ren |
| 2022 | Neural Compression-Based Feature Learning for Video Restoration. Cong Huang, Jiahao Li, Bin Li, Dong Liu, Yan Lu |
| 2022 | Neural Convolutional Surfaces. Luca Morreale, Noam Aigerman, Paul Guerrero, Vladimir G. Kim, Niloy J. Mitra |
| 2022 | Neural Data-Dependent Transform for Learned Image Compression. Dezhao Wang, Wenhan Yang, Yueyu Hu, Jiaying Liu |
| 2022 | Neural Emotion Director: Speech-preserving semantic control of facial expressions in "in-the-wild" videos. Foivos Paraperas Papantoniou, Panagiotis Paraskevas Filntisis, Petros Maragos, Anastasios Roussos |
| 2022 | Neural Face Identification in a 2D Wireframe Projection of a Manifold Object. Kehan Wang, Jia Zheng, Zihan Zhou |
| 2022 | Neural Fields as Learnable Kernels for 3D Reconstruction. Francis Williams, Zan Gojcic, Sameh Khamis, Denis Zorin, Joan Bruna, Sanja Fidler, Or Litany |
| 2022 | Neural Global Shutter: Learn to Restore Video from a Rolling Shutter Camera with Global Reset Feature. Zhixiang Wang, Xiang Ji, Jia-Bin Huang, Shin'ichi Satoh, Xiao Zhou, Yinqiang Zheng |
| 2022 | Neural Head Avatars from Monocular RGB Videos. Philip-William Grassal, Malte Prinzler, Titus Leistner, Carsten Rother, Matthias Nießner, Justus Thies |
| 2022 | Neural Inertial Localization. Sachini Herath, David Caruso, Chen Liu, Yufan Chen, Yasutaka Furukawa |
| 2022 | Neural Mean Discrepancy for Efficient Out-of-Distribution Detection. Xin Dong, Junfeng Guo, Ang Li, Wei-Te Ting, Cong Liu, H. T. Kung |
| 2022 | Neural Mesh Simplification. Rolandos Alexandros Potamias, Stylianos Ploumpis, Stefanos Zafeiriou |
| 2022 | Neural MoCon: Neural Motion Control for Physically Plausible Human Motion Capture. Buzhen Huang, Liang Pan, Yuan Yang, Jingyi Ju, Yangang Wang |
| 2022 | Neural Point Light Fields. Julian Ost, Issam H. Laradji, Alejandro Newell, Yuval Bahat, Felix Heide |
| 2022 | Neural Points: Point Cloud Representation with Neural Fields for Arbitrary Upsampling. Wanquan Feng, Jin Li, Hongrui Cai, Xiaonan Luo, Juyong Zhang |
| 2022 | Neural Prior for Trajectory Estimation. Chaoyang Wang, Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey |
| 2022 | Neural RGB-D Surface Reconstruction. Dejan Azinovic, Ricardo Martin-Brualla, Dan B. Goldman, Matthias Nießner, Justus Thies |
| 2022 | Neural Rays for Occlusion-aware Image-based Rendering. Yuan Liu, Sida Peng, Lingjie Liu, Qianqian Wang, Peng Wang, Christian Theobalt, Xiaowei Zhou, Wenping Wang |
| 2022 | Neural Recognition of Dashed Curves with Gestalt Law of Continuity. Hanyuan Liu, Chengze li, Xueting Liu, Tien-Tsin Wong |
| 2022 | Neural Reflectance for Shape Recovery with Shadow Handling. Junxuan Li, Hongdong Li |
| 2022 | Neural Shape Mating: Self-Supervised Object Assembly with Adversarial Shape Priors. Yun-Chun Chen, Haoda Li, Dylan Turpin, Alec Jacobson, Animesh Garg |
| 2022 | Neural Template: Topology-aware Reconstruction and Disentangled Generation of 3D Meshes. Ka-Hei Hui, Ruihui Li, Jingyu Hu, Chi-Wing Fu |
| 2022 | Neural Texture Extraction and Distribution for Controllable Person Image Synthesis. Yurui Ren, Xiaoqing Fan, Ge Li, Shan Liu, Thomas H. Li |
| 2022 | Neural Volumetric Object Selection. Zhongzheng Ren, Aseem Agarwala, Bryan C. Russell, Alexander G. Schwing, Oliver Wang |
| 2022 | Neural Window Fully-connected CRFs for Monocular Depth Estimation. Weihao Yuan, Xiaodong Gu, Zuozhuo Dai, Siyu Zhu, Ping Tan |
| 2022 | NeuralHDHair: Automatic High-fidelity Hair Modeling from a Single Image Using Implicit Neural Representations. Keyu Wu, Yifan Ye, Lingchen Yang, Hongbo Fu, Kun Zhou, Youyi Zheng |
| 2022 | NeuralHOFusion: Neural Volumetric Rendering under Human-object Interactions. Yuheng Jiang, Suyi Jiang, Guoxing Sun, Zhuo Su, Kaiwen Guo, Minye Wu, Jingyi Yu, Lan Xu |
| 2022 | NightLab: A Dual-level Architecture with Hardness Detection for Segmentation at Night. Xueqing Deng, Peng Wang, Xiaochen Lian, Shawn D. Newsam |
| 2022 | NinjaDesc: Content-Concealing Visual Descriptors via Adversarial Learning. Tony Ng, Hyo Jin Kim, Vincent T. Lee, Daniel DeTone, Tsun-Yi Yang, Tianwei Shen, Eddy Ilg, Vassileios Balntas, Krystian Mikolajczyk, Chris Sweeney |
| 2022 | No Pain, Big Gain: Classify Dynamic Point Cloud Sequences with Static Models by Fitting Feature-level Space-time Surfaces. Jia-Xing Zhong, Kaichen Zhou, Qingyong Hu, Bing Wang, Niki Trigoni, Andrew Markham |
| 2022 | No-Reference Point Cloud Quality Assessment via Domain Adaptation. Qi Yang, Yipeng Liu, Siheng Chen, Yiling Xu, Jun Sun |
| 2022 | Node Representation Learning in Graph via Node-to-Neighbourhood Mutual Information Maximization. Wei Dong, Junsheng Wu, Yi Luo, Zongyuan Ge, Peng Wang |
| 2022 | Node-aligned Graph Convolutional Network for Whole-slide Image Representation and Classification. Yonghang Guan, Jun Zhang, Kuan Tian, Sen Yang, Pei Dong, Jinxi Xiang, Wei Yang, Junzhou Huang, Yuyao Zhang, Xiao Han |
| 2022 | Noise Distribution Adaptive Self-Supervised Image Denoising using Tweedie Distribution and Score Matching. Kwanyoung Kim, Taesung Kwon, Jong Chul Ye |
| 2022 | Noise Is Also Useful: Negative Correlation-Steered Latent Contrastive Learning. Jiexi Yan, Lei Luo, Chenghao Xu, Cheng Deng, Heng Huang |
| 2022 | Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images. Ali Maleky, Shayan Kousha, Michael S. Brown, Marcus A. Brubaker |
| 2022 | Noisy Boundaries: Lemon or Lemonade for Semi-supervised Instance Segmentation? Zhenyu Wang, Yali Li, Shengjin Wang |
| 2022 | NomMer: Nominate Synergistic Context in Vision Transformer for Visual Recognition. Hao Liu, Xinghua Jiang, Xin Li, Zhimin Bao, Deqiang Jiang, Bo Ren |
| 2022 | Non-Iterative Recovery from Nonlinear Observations using Generative Models. Jiulong Liu, Zhaoqiang Liu |
| 2022 | Non-Probability Sampling Network for Stochastic Human Trajectory Prediction. Inhwan Bae, Jin-Hwi Park, Hae-Gon Jeon |
| 2022 | Non-generative Generalized Zero-shot Learning via Task-correlated Disentanglement and Controllable Samples Synthesis. Yaogong Feng, Xiaowen Huang, Pengbo Yang, Jian Yu, Jitao Sang |
| 2022 | Non-isotropy Regularization for Proxy-based Deep Metric Learning. Karsten Roth, Oriol Vinyals, Zeynep Akata |
| 2022 | Non-parametric Depth Distribution Modelling based Depth Inference for Multi-view Stereo. Jiayu Yang, José M. Álvarez, Miaomiao Liu |
| 2022 | Nonuniform-to-Uniform Quantization: Towards Accurate Quantization via Generalized Straight-Through Estimation. Zechun Liu, Kwang-Ting Cheng, Dong Huang, Eric P. Xing, Zhiqiang Shen |
| 2022 | Not All Labels Are Equal: Rationalizing The Labeling Costs for Training Object Detection. Ismail Elezi, Zhiding Yu, Anima Anandkumar, Laura Leal-Taixé, José M. Álvarez |
| 2022 | Not All Points Are Equal: Learning Highly Efficient Point-based Detectors for 3D LiDAR Point Clouds. Yifan Zhang, Qingyong Hu, Guoquan Xu, Yanxin Ma, Jianwei Wan, Yulan Guo |
| 2022 | Not All Relations are Equal: Mining Informative Labels for Scene Graph Generation. Arushi Goel, Basura Fernando, Frank Keller, Hakan Bilen |
| 2022 | Not All Tokens Are Equal: Human-centric Visual Analysis via Token Clustering Transformer. Wang Zeng, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang |
| 2022 | Not Just Selection, but Exploration: Online Class-Incremental Continual Learning via Dual View Consistency. Yanan Gu, Xu Yang, Kun Wei, Cheng Deng |
| 2022 | Notice of Retraction: E2V-SDE: From Asynchronous Events to Fast and Continuous Video Reconstruction via Neural Stochastic Differential Equations. |
| 2022 | Novel Class Discovery in Semantic Segmentation. Yuyang Zhao, Zhun Zhong, Nicu Sebe, Gim Hee Lee |
| 2022 | OCSampler: Compressing Videos to One Clip with Single-step Sampling. Jintao Lin, Haodong Duan, Kai Chen, Dahua Lin, Limin Wang |
| 2022 | ONCE-3DLanes: Building Monocular 3D Lane Detection. Fan Yan, Ming Nie, Xinyue Cai, Jianhua Han, Hang Xu, Zhen Yang, Chaoqiang Ye, Yanwei Fu, Michael Bi Mi, Li Zhang |
| 2022 | OSKDet: Orientation-sensitive Keypoint Localization for Rotated Object Detection. Dongchen Lu, Dongmei Li, Yali Li, Shengjin Wang |
| 2022 | OSOP: A Multi-Stage One Shot Object Pose Estimation Framework. Ivan Shugurov, Fu Li, Benjamin Busam, Slobodan Ilic |
| 2022 | OSSGAN: Open-Set Semi-Supervised Image Generation. Kai Katsumata, Duc Minh Vo, Hideki Nakayama |
| 2022 | OSSO: Obtaining Skeletal Shape from Outside. Marilyn Keller, Silvia Zuffi, Michael J. Black, Sergi Pujades |
| 2022 | OVE6D: Object Viewpoint Encoding for Depth-based 6D Object Pose Estimation. Dingding Cai, Janne Heikkilä, Esa Rahtu |
| 2022 | OW-DETR: Open-world Detection Transformer. Akshita Gupta, Sanath Narayan, K. J. Joseph, Salman Khan, Fahad Shahbaz Khan, Mubarak Shah |
| 2022 | OakInk: A Large-scale Knowledge Repository for Understanding Hand-Object Interaction. Lixin Yang, Kailin Li, Xinyu Zhan, Fei Wu, Anran Xu, Liu Liu, Cewu Lu |
| 2022 | Object Localization under Single Coarse Point Supervision. Xuehui Yu, Pengfei Chen, Di Wu, Najmul Hassan, Guorong Li, Junchi Yan, Humphrey Shi, Qixiang Ye, Zhenjun Han |
| 2022 | Object-Region Video Transformers. Roei Herzig, Elad Ben-Avraham, Karttikeya Mangalam, Amir Bar, Gal Chechik, Anna Rohrbach, Trevor Darrell, Amir Globerson |
| 2022 | Object-Relation Reasoning Graph for Action Recognition. Yangjun Ou, Li Mi, Zhenzhong Chen |
| 2022 | Object-aware Video-language Pre-training for Retrieval. Alex Jinpeng Wang, Yixiao Ge, Guanyu Cai, Rui Yan, Xudong Lin, Ying Shan, Xiaohu Qie, Mike Zheng Shou |
| 2022 | ObjectFolder 2.0: A Multisensory Object Dataset for Sim2Real Transfer. Ruohan Gao, Zilin Si, Yen-Yu Chang, Samuel Clarke, Jeannette Bohg, Li Fei-Fei, Wenzhen Yuan, Jiajun Wu |
| 2022 | ObjectFormer for Image Manipulation Detection and Localization. Junke Wang, Zuxuan Wu, Jingjing Chen, Xintong Han, Abhinav Shrivastava, Ser-Nam Lim, Yu-Gang Jiang |
| 2022 | OccAM's Laser: Occlusion-based Attribution Maps for 3D Object Detectors on LiDAR Data. David Schinagl, Georg Krispel, Horst Possegger, Peter M. Roth, Horst Bischof |
| 2022 | Occluded Human Mesh Recovery. Rawal Khirodkar, Shashank Tripathi, Kris Kitani |
| 2022 | Occlusion-Aware Cost Constructor for Light Field Depth Estimation. Yingqian Wang, Longguang Wang, Zhengyu Liang, Jun-Gang Yang, Wei An, Yulan Guo |
| 2022 | Occlusion-robust Face Alignment using A Viewpoint-invariant Hierarchical Network Architecture. Congcong Zhu, Xintong Wan, Shaorong Xie, Xiaoqiang Li, Yinzheng Gu |
| 2022 | OcclusionFusion: Occlusion-aware Motion Estimation for Real-time Dynamic 3D Reconstruction. Wenbin Lin, Chengwei Zheng, Jun-Hai Yong, Feng Xu |
| 2022 | Omni-DETR: Omni-Supervised Object Detection with Transformers. Pei Wang, Zhaowei Cai, Hao Yang, Gurumurthy Swaminathan, Nuno Vasconcelos, Bernt Schiele, Stefano Soatto |
| 2022 | OmniFusion: 360 Monocular Depth Estimation via Geometry-Aware Fusion. Yuyan Li, Yuliang Guo, Zhixin Yan, Xinyu Huang, Ye Duan, Liu Ren |
| 2022 | Omnivore: A Single Model for Many Visual Modalities. Rohit Girdhar, Mannat Singh, Nikhila Ravi, Laurens van der Maaten, Armand Joulin, Ishan Misra |
| 2022 | On Adversarial Robustness of Trajectory Prediction for Autonomous Vehicles. Qingzhao Zhang, Shengtuo Hu, Jiachen Sun, Qi Alfred Chen, Z. Morley Mao |
| 2022 | On Aliased Resizing and Surprising Subtleties in GAN Evaluation. Gaurav Parmar, Richard Zhang, Jun-Yan Zhu |
| 2022 | On Generalizing Beyond Domains in Cross-Domain Continual Learning. Christian Simon, Masoud Faraki, Yi-Hsuan Tsai, Xiang Yu, Samuel Schulter, Yumin Suh, Mehrtash Harandi, Manmohan Chandraker |
| 2022 | On Guiding Visual Attention with Language Specification. Suzanne Petryk, Lisa Dunlap, Keyan Nasseri, Joseph Gonzalez, Trevor Darrell, Anna Rohrbach |
| 2022 | On Learning Contrastive Representations for Learning with Noisy Labels. Li Yi, Sheng Liu, Qi She, A. Ian McLeod, Boyu Wang |
| 2022 | On the Importance of Asymmetry for Siamese Representation Learning. Xiao Wang, Haoqi Fan, Yuandong Tian, Daisuke Kihara, Xinlei Chen |
| 2022 | On the Instability of Relative Pose Estimation and RANSAC's Role. Hongyi Fan, Joe Kileel, Benjamin B. Kimia |
| 2022 | On the Integration of Self-Attention and Convolution. Xuran Pan, Chunjiang Ge, Rui Lu, Shiji Song, Guanfu Chen, Zeyi Huang, Gao Huang |
| 2022 | On the Road to Online Adaptation for Semantic Image Segmentation. Riccardo Volpi, Pau de Jorge, Diane Larlus, Gabriela Csurka |
| 2022 | One Loss for Quantization: Deep Hashing with Discrete Wasserstein Distributional Matching. Khoa D. Doan, Peng Yang, Ping Li |
| 2022 | One Step at a Time: Long-Horizon Vision-and-Language Navigation with Milestones. Chan Hee Song, Jihyung Kil, Tai-Yu Pan, Brian M. Sadler, Wei-Lun Chao, Yu Su |
| 2022 | One-bit Active Query with Contrastive Pairs. Yuhang Zhang, Xiaopeng Zhang, Lingxi Xie, Jie Li, Robert C. Qiu, Hengtong Hu, Qi Tian |
| 2022 | OnePose: One-Shot Object Pose Estimation without CAD Models. Jiaming Sun, Zihao Wang, Siyu Zhang, Xingyi He, Hongcheng Zhao, Guofeng Zhang, Xiaowei Zhou |
| 2022 | Online Continual Learning on a Contaminated Data Stream with Blurry Task Boundaries. Jihwan Bang, Hyunseo Koh, Seulki Park, Hwanjun Song, Jung-Woo Ha, Jonghyun Choi |
| 2022 | Online Convolutional Reparameterization. Mu Hu, Junyi Feng, Jiashen Hua, Baisheng Lai, Jianqiang Huang, Xiaojin Gong, Xiansheng Hua |
| 2022 | Online Learning of Reusable Abstract Models for Object Goal Navigation. Tommaso Campari, Leonardo Lamanna, Paolo Traverso, Luciano Serafini, Lamberto Ballan |
| 2022 | OoD-Bench: Quantifying and Understanding Two Dimensions of Out-of-Distribution Generalization. Nanyang Ye, Kaican Li, Haoyue Bai, Runpeng Yu, Lanqing Hong, Fengwei Zhou, Zhenguo Li, Jun Zhu |
| 2022 | Open Challenges in Deep Stereo: the Booster Dataset. Pierluigi Zama Ramirez, Fabio Tosi, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano |
| 2022 | Open-Domain, Content-based, Multi-modal Fact-checking of Out-of-Context Images via Online Resources. Sahar Abdelnabi, Rakibul Hasan, Mario Fritz |
| 2022 | Open-Set Text Recognition via Character-Context Decoupling. Chang Liu, Chun Yang, Xu-Cheng Yin |
| 2022 | Open-Vocabulary Instance Segmentation via Robust Cross-Modal Pseudo-Labeling. Dat Huynh, Jason Kuen, Zhe Lin, Jiuxiang Gu, Ehsan Elhamifar |
| 2022 | Open-Vocabulary One-Stage Detection with Hierarchical Visual-Language Knowledge Distillation. Zongyang Ma, Guan Luo, Jin Gao, Liang Li, Yuxin Chen, Shaoru Wang, Congxuan Zhang, Weiming Hu |
| 2022 | Open-World Instance Segmentation: Exploiting Pseudo Ground Truth From Learned Pairwise Affinity. Weiyao Wang, Matt Feiszli, Heng Wang, Jitendra Malik, Du Tran |
| 2022 | OpenTAL: Towards Open Set Temporal Action Localization. Wentao Bao, Qi Yu, Yu Kong |
| 2022 | Opening up Open World Tracking. Yang Liu, Idil Esen Zulfikar, Jonathon Luiten, Achal Dave, Deva Ramanan, Bastian Leibe, Aljosa Osep, Laura Leal-Taixé |
| 2022 | Optical Flow Estimation for Spiking Camera. Liwen Hu, Rui Zhao, Ziluo Ding, Lei Ma, Boxin Shi, Ruiqin Xiong, Tiejun Huang |
| 2022 | Optimal Correction Cost for Object Detection Evaluation. Mayu Otani, Riku Togashi, Yuta Nakashima, Esa Rahtu, Janne Heikkilä, Shin'ichi Satoh |
| 2022 | Optimal LED Spectral Multiplexing for NIR2RGB Translation. Lei Liu, Yuze Chen, Junchi Yan, Yinqiang Zheng |
| 2022 | Optimizing Elimination Templates by Greedy Parameter Search. Evgeniy Martyushev, Jana Vráblíková, Tomás Pajdla |
| 2022 | Optimizing Video Prediction via Video Frame Interpolation. Yue Wu, Qiang Wen, Qifeng Chen |
| 2022 | Oriented RepPoints for Aerial Object Detection. Wentong Li, Yijie Chen, Kaixuan Hu, Jianke Zhu |
| 2022 | OrphicX: A Causality-Inspired Latent Variable Model for Interpreting Graph Neural Networks. Wanyu Lin, Hao Lan, Hao Wang, Baochun Li |
| 2022 | Out-of-distribution Generalization with Causal Invariant Transformations. Ruoyu Wang, Mingyang Yi, Zhitang Chen, Shengyu Zhu |
| 2022 | Overcoming Catastrophic Forgetting in Incremental Object Detection via Elastic Response Distillation. Tao Feng, Mang Wang, Hangjie Yuan |
| 2022 | P He Zhao, Isma Hadji, Nikita Dvornik, Konstantinos G. Derpanis, Richard P. Wildes, Allan D. Jepson |
| 2022 | P3Depth: Monocular Depth Estimation with a Piecewise Planarity Prior. Vaishakh Patil, Christos Sakaridis, Alexander Liniger, Luc Van Gool |
| 2022 | PCA-Based Knowledge Distillation Towards Lightweight and Content-Style Balanced Photorealistic Style Transfer Models. Tai-Yin Chiu, Danna Gurari |
| 2022 | PCL: Proxy-based Contrastive Learning for Domain Generalization. Xufeng Yao, Yang Bai, Xinyun Zhang, Yuechen Zhang, Qi Sun, Ran Chen, Ruiyu Li, Bei Yu |
| 2022 | PIE-Net: Photometric Invariant Edge Guided Network for Intrinsic Image Decomposition. Partha Das, Sezer Karaoglu, Theo Gevers |
| 2022 | PILC: Practical Image Lossless Compression with an End-to-end GPU Oriented Neural Framework. Ning Kang, Shanzhao Qiu, Shifeng Zhang, Zhenguo Li, Shutao Xia |
| 2022 | PINA: Learning a Personalized Implicit Neural Avatar from a Single RGB-D Video Sequence. Zijian Dong, Chen Guo, Jie Song, Xu Chen, Andreas Geiger, Otmar Hilliges |
| 2022 | PLAD: Learning to Infer Shape Programs with Pseudo-Labels and Approximate Distributions. R. Kenny Jones, Homer Walke, Daniel Ritchie |
| 2022 | PNP: Robust Learning from Noisy Labels by Probabilistic Noise Prediction. Zeren Sun, Fumin Shen, Dan Huang, Qiong Wang, Xiangbo Shu, Yazhou Yao, Jinhui Tang |
| 2022 | POCO: Point Convolution for Surface Reconstruction. Alexandre Boulch, Renaud Marlet |
| 2022 | PONI: Potential Functions for ObjectGoal Navigation with Interaction-free Learning. Santhosh Kumar Ramakrishnan, Devendra Singh Chaplot, Ziad Al-Halah, Jitendra Malik, Kristen Grauman |
| 2022 | PPDL: Predicate Probability Distribution based Loss for Unbiased Scene Graph Generation. Wei Li, Haiwei Zhang, Qijie Bai, Guoqing Zhao, Ning Jiang, Xiaojie Yuan |
| 2022 | PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation. Haiyan Wang, Will Hutchcroft, Yuguang Li, Zhiqiang Wan, Ivaylo Boyadzhiev, Yingli Tian, Sing Bing Kang |
| 2022 | PSTR: End-to-End One-Step Person Search With Transformers. Jiale Cao, Yanwei Pang, Rao Muhammad Anwer, Hisham Cholakkal, Jin Xie, Mubarak Shah, Fahad Shahbaz Khan |
| 2022 | PTTR: Relational 3D Point Cloud Object Tracking with Transformer. Changqing Zhou, Zhipeng Luo, Yueru Luo, Tianrui Liu, Liang Pan, Zhongang Cai, Haiyu Zhao, Shijian Lu |
| 2022 | PUMP: Pyramidal and Uniqueness Matching Priors for Unsupervised Learning of Local Descriptors. Jérôme Revaud, Vincent Leroy, Philippe Weinzaepfel, Boris Chidlovskii |
| 2022 | Panoptic Neural Fields: A Semantic Object-Aware Neural Scene Representation. Abhijit Kundu, Kyle Genova, Xiaoqi Yin, Alireza Fathi, Caroline Pantofaru, Leonidas J. Guibas, Andrea Tagliasacchi, Frank Dellaert, Thomas A. Funkhouser |
| 2022 | Panoptic SegFormer: Delving Deeper into Panoptic Segmentation with Transformers. Zhiqi Li, Wenhai Wang, Enze Xie, Zhiding Yu, Anima Anandkumar, José M. Álvarez, Ping Luo, Tong Lu |
| 2022 | Panoptic, Instance and Semantic Relations: A Relational Context Encoder to Enhance Panoptic Segmentation. Shubhankar Borse, Hyojin Park, Hong Cai, Debasmit Das, Risheek Garrepalli, Fatih Porikli |
| 2022 | Panoptic-PHNet: Towards Real-Time and High-Precision LiDAR Panoptic Segmentation via Clustering Pseudo Heatmap. Jinke Li, Xiao He, Yang Wen, Yuan Gao, Xiaoqiang Cheng, Dan Zhang |
| 2022 | PanopticDepth: A Unified Framework for Depth-aware Panoptic Segmentation. Naiyu Gao, Fei He, Jian Jia, Yanhu Shan, Haoyang Zhang, Xin Zhao, Kaiqi Huang |
| 2022 | Parameter-free Online Test-time Adaptation. Malik Boudiaf, Romain Müller, Ismail Ben Ayed, Luca Bertinetto |
| 2022 | Parametric Scattering Networks. Shanel Gauthier, Benjamin Thérien, Laurent Alsène-Racicot, Muawiz Chaudhary, Irina Rish, Eugene Belilovsky, Michael Eickenberg, Guy Wolf |
| 2022 | Paramixer: Parameterizing Mixing Links in Sparse Factors Works Better than Dot-Product Self-Attention. Tong Yu, Ruslan Khalitov, Lei Cheng, Zhirong Yang |
| 2022 | Part-based Pseudo Label Refinement for Unsupervised Person Re-identification. Yoonki Cho, Woo Jae Kim, Seunghoon Hong, Sung-Eui Yoon |
| 2022 | PartGlot: Learning Shape Part Segmentation from Language Reference Games. Juil Koo, Ian Huang, Panos Achlioptas, Leonidas J. Guibas, Minhyuk Sung |
| 2022 | Partial Class Activation Attention for Semantic Segmentation. Sun'ao Liu, Hongtao Xie, Hai Xu, Yongdong Zhang, Qi Tian |
| 2022 | Partially Does It: Towards Scene-Level FG-SBIR with Partial Input. Pinaki Nath Chowdhury, Ayan Kumar Bhunia, Viswanatha Reddy Gajjala, Aneeshan Sain, Tao Xiang, Yi-Zhe Song |
| 2022 | Pastiche Master: Exemplar-Based High-Resolution Portrait Style Transfer. Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy |
| 2022 | Patch Slimming for Efficient Vision Transformers. Yehui Tang, Kai Han, Yunhe Wang, Chang Xu, Jianyuan Guo, Chao Xu, Dacheng Tao |
| 2022 | Patch-level Representation Learning for Self-supervised Vision Transformers. Sukmin Yun, Hankook Lee, Jaehyung Kim, Jinwoo Shin |
| 2022 | PatchFormer: An Efficient Point Transformer with Patch Attention. Cheng Zhang, Haocheng Wan, Xinyi Shen, Zizhao Wu |
| 2022 | PatchNet: A Simple Face Anti-Spoofing Framework via Fine-Grained Patch Recognition. Chien-Yi Wang, Yu-Ding Lu, Shang-Ta Yang, Shang-Hong Lai |
| 2022 | Per-Clip Video Object Segmentation. Kwanyong Park, Sanghyun Woo, Seoung Wug Oh, In So Kweon, Joon-Young Lee |
| 2022 | Perception Prioritized Training of Diffusion Models. Jooyoung Choi, Jungbeom Lee, Chaehun Shin, Sungwon Kim, Hyunwoo Kim, Sungroh Yoon |
| 2022 | Performance-Aware Mutual Knowledge Distillation for Improving Neural Architecture Search. Pengtao Xie, Xuefeng Du |
| 2022 | Personalized Image Aesthetics Assessment with Rich Attributes. Yuzhe Yang, Liwu Xu, Leida Li, Nan Qie, Yaqian Li, Peng Zhang, Yandong Guo |
| 2022 | Perturbed and Strict Mean Teachers for Semi-supervised Semantic Segmentation. Yuyuan Liu, Yu Tian, Yuanhong Chen, Fengbei Liu, Vasileios Belagiannis, Gustavo Carneiro |
| 2022 | PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects. Pengyuan Wang, HyunJun Jung, Yitong Li, Siyuan Shen, Rahul Parthasarathy Srikanth, Lorenzo Garattoni, Sven Meier, Nassir Navab, Benjamin Busam |
| 2022 | PhotoScene: Photorealistic Material and Lighting Transfer for Indoor Scenes. Yu-Ying Yeh, Zhengqin Li, Yannick Hold-Geoffroy, Rui Zhu, Zexiang Xu, Milos Hasan, Kalyan Sunkavalli, Manmohan Chandraker |
| 2022 | Photorealistic Monocular 3D Reconstruction of Humans Wearing Clothing. Thiemo Alldieck, Mihai Zanfir, Cristian Sminchisescu |
| 2022 | PhyIR: Physics-based Inverse Rendering for Panoramic Indoor Images. Zhen Li, Lingli Wang, Xiang Huang, Cihui Pan, Jiaqi Yang |
| 2022 | PhysFormer: Facial Video-based Physiological Measurement with Temporal Difference Transformer. Zitong Yu, Yuming Shen, Jingang Shi, Hengshuang Zhao, Philip H. S. Torr, Guoying Zhao |
| 2022 | Physical Inertial Poser (PIP): Physics-aware Real-time Human Motion Tracking from Sparse Inertial Sensors. Xinyu Yi, Yuxiao Zhou, Marc Habermann, Soshi Shimada, Vladislav Golyanik, Christian Theobalt, Feng Xu |
| 2022 | Physical Simulation Layer for Accurate 3D Modeling. Mariem Mezghanni, Théo Bodrito, Malika Boulkenafed, Maks Ovsjanikov |
| 2022 | Physically Disentangled Intra- and Inter-domain Adaptation for Varicolored Haze Removal. Yi Li, Yi Chang, Yan Gao, Changfeng Yu, Luxin Yan |
| 2022 | Physically-guided Disentangled Implicit Rendering for 3D Face Modeling. Zhenyu Zhang, Yanhao Ge, Ying Tai, Weijian Cao, Renwang Chen, Kunlin Liu, Hao Tang, Xiaoming Huang, Chengjie Wang, Zhifeng Xie, Dongjin Huang |
| 2022 | Pin the Memory: Learning to Generalize Semantic Segmentation. Jin Kim, Jiyoung Lee, Jungin Park, Dongbo Min, Kwanghoon Sohn |
| 2022 | Pix2NeRF: Unsupervised Conditional $\pi$-GAN for Single Image to Neural Radiance Fields Translation. Shengqu Cai, Anton Obukhov, Dengxin Dai, Luc Van Gool |
| 2022 | PixMix: Dreamlike Pictures Comprehensively Improve Safety Measures. Dan Hendrycks, Andy Zou, Mantas Mazeika, Leonard Tang, Bo Li, Dawn Song, Jacob Steinhardt |
| 2022 | Pixel screening based intermediate correction for blind deblurring. Meina Zhang, Yingying Fang, Guoxi Ni, Tieyong Zeng |
| 2022 | PlanarRecon: Realtime 3D Plane Detection and Reconstruction from Posed Monocular Videos. Yiming Xie, Matheus Gadelha, Fengting Yang, Xiaowei Zhou, Huaizu Jiang |
| 2022 | PlaneMVS: 3D Plane Reconstruction from Multi-View Stereo. Jiachen Liu, Pan Ji, Nitin Bansal, Changjiang Cai, Qingan Yan, Xiaolei Huang, Yi Xu |
| 2022 | Playable Environments: Video Manipulation in Space and Time. Willi Menapace, Stéphane Lathuilière, Aliaksandr Siarohin, Christian Theobalt, Sergey Tulyakov, Vladislav Golyanik, Elisa Ricci |
| 2022 | Plenoxels: Radiance Fields without Neural Networks. Sara Fridovich-Keil, Alex Yu, Matthew Tancik, Qinhong Chen, Benjamin Recht, Angjoo Kanazawa |
| 2022 | Point Cloud Color Constancy. Xiaoyan Xing, Yanlin Qian, Sibo Feng, Yuhan Dong, Jirí Matas |
| 2022 | Point Cloud Pre-training with Natural 3D Structures. Ryosuke Yamada, Hirokatsu Kataoka, Naoya Chiba, Yukiyasu Domae, Tetsuya Ogata |
| 2022 | Point Density-Aware Voxels for LiDAR 3D Object Detection. Jordan S. K. Hu, Tianshu Kuai, Steven L. Waslander |
| 2022 | Point-BERT: Pre-training 3D Point Cloud Transformers with Masked Point Modeling. Xumin Yu, Lulu Tang, Yongming Rao, Tiejun Huang, Jie Zhou, Jiwen Lu |
| 2022 | Point-Level Region Contrast for Object Detection Pre-Training. Yutong Bai, Xinlei Chen, Alexander Kirillov, Alan L. Yuille, Alexander C. Berg |
| 2022 | Point-NeRF: Point-based Neural Radiance Fields. Qiangeng Xu, Zexiang Xu, Julien Philip, Sai Bi, Zhixin Shu, Kalyan Sunkavalli, Ulrich Neumann |
| 2022 | Point-to-Voxel Knowledge Distillation for LiDAR Semantic Segmentation. Yuenan Hou, Xinge Zhu, Yuexin Ma, Chen Change Loy, Yikang Li |
| 2022 | Point2Cyl: Reverse Engineering 3D Objects from Point Clouds to Extrusion Cylinders. Mikaela Angelina Uy, Yen-Yu Chang, Minhyuk Sung, Purvi Goel, Joseph Lambourne, Tolga Birdal, Leonidas J. Guibas |
| 2022 | Point2Seq: Detecting 3D Objects as Sequences. Yujing Xue, Jiageng Mao, Minzhe Niu, Hang Xu, Michael Bi Mi, Wei Zhang, Xiaogang Wang, Xinchao Wang |
| 2022 | PointCLIP: Point Cloud Understanding by CLIP. Renrui Zhang, Ziyu Guo, Wei Zhang, Kunchang Li, Xupeng Miao, Bin Cui, Yu Qiao, Peng Gao, Hongsheng Li |
| 2022 | Pointly-Supervised Instance Segmentation. Bowen Cheng, Omkar Parkhi, Alexander Kirillov |
| 2022 | PokeBNN: A Binary Pursuit of Lightweight Accuracy. Yichi Zhang, Zhiru Zhang, Lukasz Lew |
| 2022 | Polarity Sampling: Quality and Diversity Control of Pre-Trained Generative Networks via Singular Values. Ahmed Imtiaz Humayun, Randall Balestriero, Richard G. Baraniuk |
| 2022 | PolyWorld: Polygonal Building Extraction with Graph Neural Networks in Satellite Images. Stefano Zorzi, Shabab Bazrafkan, Stefan Habenschuss, Friedrich Fraundorfer |
| 2022 | Polymorphic-GAN: Generating Aligned Samples across Multiple Domains with Learned Morph Maps. Seung Wook Kim, Karsten Kreis, Daiqing Li, Antonio Torralba, Sanja Fidler |
| 2022 | Pooling Revisited: Your Receptive Field is Suboptimal. Dong-Hwan Jang, Sanghyeok Chu, Joonhyuk Kim, Bohyung Han |
| 2022 | Pop-Out Motion: 3D-Aware Image Deformation via Learning the Shape Laplacian. Jihyun Lee, Minhyuk Sung, HyunJin Kim, Tae-Kyun Kim |
| 2022 | Portrait Eyeglasses and Shadow Removal by Leveraging 3D Synthetic Data. Junfeng Lyu, Zhibo Wang, Feng Xu |
| 2022 | PoseKernelLifter: Metric Lifting of 3D Human Pose using Sound. Zhijian Yang, Xiaoran Fan, Volkan Isler, Hyunsoo Park |
| 2022 | PoseTrack21: A Dataset for Person Search, Multi-Object Tracking and Multi-Person Pose Tracking. Andreas Doering, Di Chen, Shanshan Zhang, Bernt Schiele, Juergen Gall |
| 2022 | PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision. Kehong Gong, Bingbing Li, Jianfeng Zhang, Tao Wang, Jing Huang, Michael Bi Mi, Jiashi Feng, Xinchao Wang |
| 2022 | Practical Evaluation of Adversarial Robustness via Adaptive Auto Attack. Ye Liu, Yaya Cheng, Lianli Gao, Xianglong Liu, Qilong Zhang, Jingkuan Song |
| 2022 | Practical Learned Lossless JPEG Recompression with Multi-Level Cross-Channel Entropy Model in the DCT Domain. Lina Guo, Xinjie Shi, Dailan He, Yuanyuan Wang, Rui Ma, Hongwei Qin, Yan Wang |
| 2022 | Practical Stereo Matching via Cascaded Recurrent Network with Adaptive Correlation. Jiankun Li, Peisen Wang, Pengfei Xiong, Tao Cai, Ziwei Yan, Lei Yang, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu |
| 2022 | Predict, Prevent, and Evaluate: Disentangled Text-Driven Image Manipulation Empowered by Pre-Trained Vision-Language Model. Zipeng Xu, Tianwei Lin, Hao Tang, Fu Li, Dongliang He, Nicu Sebe, Radu Timofte, Luc Van Gool, Errui Ding |
| 2022 | Pretrain, Self-train, Distill: A simple recipe for Supersizing 3D Reconstruction. Kalyan Vasudev Alwala, Abhinav Gupta, Shubham Tulsiani |
| 2022 | Primitive3D: 3D Object Dataset Synthesis from Randomly Assembled Primitives. Xinke Li, Henghui Ding, Zekun Tong, Yuwei Wu, Yeow Meng Chee |
| 2022 | Privacy Preserving Partial Localization. Marcel Geppert, Viktor Larsson, Johannes L. Schönberger, Marc Pollefeys |
| 2022 | Privacy-preserving Online AutoML for Domain-Specific Face Detection. Chenqian Yan, Yuge Zhang, Quanlu Zhang, Yaming Yang, Xinyang Jiang, Yuqing Yang, Baoyuan Wang |
| 2022 | Proactive Image Manipulation Detection. Vishal Asnani, Xi Yin, Tal Hassner, Sijia Liu, Xiaoming Liu |
| 2022 | Probabilistic Representations for Video Contrastive Learning. Jungin Park, Jiyoung Lee, Ig-Jae Kim, Kwanghoon Sohn |
| 2022 | Probabilistic Warp Consistency for Weakly-Supervised Semantic Correspondences. Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool |
| 2022 | Probing Representation Forgetting in Supervised and Unsupervised Continual Learning. MohammadReza Davari, Nader Asadi, Sudhir P. Mudur, Rahaf Aljundi, Eugene Belilovsky |
| 2022 | Programmatic Concept Learning for Human Motion Description and Synthesis. Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu |
| 2022 | Progressive Attention on Multi-Level Dense Difference Maps for Generic Event Boundary Detection. Jiaqi Tang, Zhaoyang Liu, Chen Qian, Wayne Wu, Limin Wang |
| 2022 | Progressive End-to-End Object Detection in Crowded Scenes. Anlin Zheng, Yuang Zhang, Xiangyu Zhang, Xiaojuan Qi, Jian Sun |
| 2022 | Progressive Minimal Path Method with Embedded CNN. Wei Liao |
| 2022 | Progressively Generating Better Initial Guesses Towards Next Stages for High-Quality Human Motion Prediction. Tiezheng Ma, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li |
| 2022 | Projective Manifold Gradient Layer for Deep Rotation Regression. Jiayi Chen, Yingda Yin, Tolga Birdal, Baoquan Chen, Leonidas J. Guibas, He Wang |
| 2022 | Prompt Distribution Learning. Yuning Lu, Jianzhuang Liu, Yonggang Zhang, Yajing Liu, Xinmei Tian |
| 2022 | Propagation Regularizer for Semi-supervised Learning with Extremely Scarce Labeled Samples. Noo-Ri Kim, Jee-Hyong Lee |
| 2022 | Proper Reuse of Image Classification Features Improves Object Detection. Cristina Nader Vasconcelos, Vighnesh Birodkar, Vincent Dumoulin |
| 2022 | ProposalCLIP: Unsupervised Open-Category Object Proposal Generation via Exploiting CLIP Cues. Hengcan Shi, Munawar Hayat, Yicheng Wu, Jianfei Cai |
| 2022 | Protecting Celebrities from DeepFake with Identity Consistency Transformer. Xiaoyi Dong, Jianmin Bao, Dongdong Chen, Ting Zhang, Weiming Zhang, Nenghai Yu, Dong Chen, Fang Wen, Baining Guo |
| 2022 | Protecting Facial Privacy: Generating Adversarial Identity Masks via Style-robust Makeup Transfer. Shengshan Hu, Xiaogeng Liu, Yechao Zhang, Minghui Li, Leo Yu Zhang, Hai Jin, Libing Wu |
| 2022 | Proto2Proto: Can you recognize the car, the way I do? Monish Keswani, Sriranjani Ramakrishnan, Nishant Reddy, Vineeth N. Balasubramanian |
| 2022 | Pseudo-Q: Generating Pseudo Language Queries for Visual Grounding. Haojun Jiang, Yuanze Lin, Dongchen Han, Shiji Song, Gao Huang |
| 2022 | Pseudo-Stereo for Monocular 3D Object Detection in Autonomous Driving. Yi-Nan Chen, Hang Dai, Yong Ding |
| 2022 | PubTables-1M: Towards comprehensive table extraction from unstructured documents. Brandon Smock, Rohith Pesala, Robin Abraham |
| 2022 | Pushing the Envelope of Gradient Boosting Forests via Globally-Optimized Oblique Trees. Magzhan Gabidolla, Miguel Á. Carreira-Perpiñán |
| 2022 | Pushing the Limits of Simple Pipelines for Few-Shot Learning: External Data and Fine-Tuning Make a Difference. Shell Xu Hu, Da Li, Jan Stühmer, Minyoung Kim, Timothy M. Hospedales |
| 2022 | Pushing the Performance Limit of Scene Text Recognizer without Human Annotation. Caiyuan Zheng, Hui Li, Seon-Min Rhee, Seungju Han, Jae-Joon Han, Peng Wang |
| 2022 | Putting People in their Place: Monocular Regression of 3D People in Depth. Yu Sun, Wu Liu, Qian Bao, Yili Fu, Tao Mei, Michael J. Black |
| 2022 | PyMiceTracking: An Open-Source Toolbox For Real-Time Behavioral Neuroscience Experiments. Richardson Santiago Teles de Menezes, Aron de Miranda, Helton Maia Peixoto |
| 2022 | Pyramid Adversarial Training Improves ViT Performance. Charles Herrmann, Kyle Sargent, Lu Jiang, Ramin Zabih, Huiwen Chang, Ce Liu, Dilip Krishnan, Deqing Sun |
| 2022 | Pyramid Architecture for Multi-Scale Processing in Point Cloud Segmentation. Dong Nie, Rui Lan, Ling Wang, Xiaofeng Ren |
| 2022 | Pyramid Grafting Network for One-Stage High Resolution Saliency Detection. Chenxi Xie, Changqun Xia, Mingcan Ma, Zhirui Zhao, Xiaowu Chen, Jia Li |
| 2022 | QS-Attn: Query-Selected Attention for Contrastive Learning in I2I Translation. Xueqi Hu, Xinyue Zhou, Qiusheng Huang, Zhengyi Shi, Li Sun, Qingli Li |
| 2022 | Quantifying Societal Bias Amplification in Image Captioning. Yusuke Hirota, Yuta Nakashima, Noa Garcia |
| 2022 | Quantization-aware Deep Optics for Diffractive Snapshot Hyperspectral Imaging. Lingen Li, Lizhi Wang, Weitao Song, Lei Zhang, Zhiwei Xiong, Hua Huang |
| 2022 | Quarantine: Sparsity Can Uncover the Trojan Attack Trigger for Free. Tianlong Chen, Zhenyu Zhang, Yihua Zhang, Shiyu Chang, Sijia Liu, Zhangyang Wang |
| 2022 | Query and Attention Augmentation for Knowledge-Based Explainable Reasoning. Yifeng Zhang, Ming Jiang, Qi Zhao |
| 2022 | QueryDet: Cascaded Sparse Query for Accelerating High-Resolution Small Object Detection. Chenhongyi Yang, Zehao Huang, Naiyan Wang |
| 2022 | R(Det) Yali Li, Shengjin Wang |
| 2022 | RADU: Ray-Aligned Depth Update Convolutions for ToF Data Denoising. Michael Schelling, Pedro Hermosilla, Timo Ropinski |
| 2022 | RAGO: Recurrent Graph Optimizer For Multiple Rotation Averaging. Heng Li, Zhaopeng Cui, Shuaicheng Liu, Ping Tan |
| 2022 | RAMA: A Rapid Multicut Algorithm on GPU. Ahmed Abbas, Paul Swoboda |
| 2022 | RBGNet: Ray-based Grouping for 3D Object Detection. Haiyang Wang, Shaoshuai Shi, Ze Yang, Rongyao Fang, Qi Qian, Hongsheng Li, Bernt Schiele, Liwei Wang |
| 2022 | RCL: Recurrent Continuous Localization for Temporal Action Detection. Qiang Wang, Yanhao Zhang, Yun Zheng, Pan Pan |
| 2022 | RCP: Recurrent Closest Point for Point Cloud. Xiaodong Gu, Chengzhou Tang, Weihao Yuan, Zuozhuo Dai, Siyu Zhu, Ping Tan |
| 2022 | REGTR: End-to-end Point Cloud Correspondences with Transformers. Zi Jian Yew, Gim Hee Lee |
| 2022 | REX: Reasoning-aware and Grounded Explanation. Shi Chen, Qi Zhao |
| 2022 | RFNet: Unsupervised Network for Mutually Reinforcing Multi-modal Image Registration and Fusion. Han Xu, Jiayi Ma, Jiteng Yuan, Zhuliang Le, Wei Liu |
| 2022 | RGB-Depth Fusion GAN for Indoor Depth Completion. Haowen Wang, Mingyuan Wang, Zhengping Che, Zhiyuan Xu, Xiuquan Qiao, Mengshi Qi, Feifei Feng, Jian Tang |
| 2022 | RGB-Multispectral Matching: Dataset, Learning Methodology, Evaluation. Fabio Tosi, Pierluigi Zama Ramirez, Matteo Poggi, Samuele Salti, Stefano Mattoccia, Luigi Di Stefano |
| 2022 | RIDDLE: Lidar Data Compression with Range Image Deep Delta Encoding. Xuanyu Zhou, Charles R. Qi, Yin Zhou, Dragomir Anguelov |
| 2022 | RIM-Net: Recursive Implicit Fields for Unsupervised Learning of Hierarchical Shape Structures. Chengjie Niu, Manyi Li, Kai Xu, Hao Zhang |
| 2022 | RIO: Rotation-equivariance supervised learning of robust inertial odometry. Xiya Cao, Caifa Zhou, Dandan Zeng, Yongliang Wang |
| 2022 | RM-Depth: Unsupervised Learning of Recurrent Monocular Depth in Dynamic Scenes. Tak-Wai Hui |
| 2022 | RNNPose: Recurrent 6-DoF Object Pose Refinement with Robust Correspondence Field Estimation and Pose Optimization. Yan Xu, Kwan-Yee Lin, Guofeng Zhang, Xiaogang Wang, Hongsheng Li |
| 2022 | ROCA: Robust CAD Model Retrieval and Alignment from a Single Image. Can Gümeli, Angela Dai, Matthias Nießner |
| 2022 | RSCFed: Random Sampling Consensus Federated Semi-supervised Learning. Xiaoxiao Liang, Yiqun Lin, Huazhu Fu, Lei Zhu, Xiaomeng Li |
| 2022 | RSTT: Real-time Spatial Temporal Transformer for Space-Time Video Super-Resolution. Zhicheng Geng, Luming Liang, Tianyu Ding, Ilya Zharkov |
| 2022 | RU-Net: Regularized Unrolling Network for Scene Graph Generation. Xin Lin, Changxing Ding, Jing Zhang, Yibing Zhan, Dacheng Tao |
| 2022 | Ranking Distance Calibration for Cross-Domain Few-Shot Learning. Pan Li, Shaogang Gong, Chengjie Wang, Yanwei Fu |
| 2022 | Ranking-Based Siamese Visual Tracking. Feng Tang, Qiang Ling |
| 2022 | Raw High-Definition Radar for Multi-Task Learning. Julien Rebut, Arthur Ouaknine, Waqas Malik, Patrick Pérez |
| 2022 | Ray Priors through Reprojection: Improving Neural Radiance Fields for Novel View Extrapolation. Jian Zhang, Yuanqing Zhang, Huan Fu, Xiaowei Zhou, Bowen Cai, Jinchi Huang, Rongfei Jia, Binqiang Zhao, Xing Tang |
| 2022 | Ray3D: ray-based 3D human pose estimation for monocular absolute 3D localization. Yu Zhan, Fenghai Li, Renliang Weng, Wongun Choi |
| 2022 | RayMVSNet: Learning Ray-based 1D Implicit Fields for Accurate Multi-View Stereo. Junhua Xi, Yifei Shi, Yijie Wang, Yulan Guo, Kai Xu |
| 2022 | RePaint: Inpainting using Denoising Diffusion Probabilistic Models. Andreas Lugmayr, Martin Danelljan, Andrés Romero, Fisher Yu, Radu Timofte, Luc Van Gool |
| 2022 | ReSTR: Convolution-free Referring Image Segmentation Using Transformers. Namyup Kim, Dongwon Kim, Suha Kwak, Cuiling Lan, Wenjun Zeng |
| 2022 | Reading to Listen at the Cocktail Party: Multi-Modal Speech Separation. Akam Rahimi, Triantafyllos Afouras, Andrew Zisserman |
| 2022 | Real-Time, Accurate, and Consistent Video Semantic Segmentation via Unsupervised Adaptation and Cross-Unit Deployment on Mobile Device. Hyojin Park, Alan Yessenbayev, Tushar Singhal, Navin Kumar Adhikari, Yizhe Zhang, Shubhankar Mangesh Borse, Hong Cai, Frank Mayer, Balaji Calidas, Nilesh Prasad Pandey, Fei Yin, Fatih Porikli |
| 2022 | Real-time Hyperspectral Imaging in Hardware via Trained Metasurface Encoders. Maksim Makarenko, Arturo Burguete-Lopez, Qizhou Wang, Fedor Getman, Silvio Giancola, Bernard Ghanem, Andrea Fratalocchi |
| 2022 | Real-time Object Detection for Streaming Perception. Jinrong Yang, Songtao Liu, Zeming Li, Xiaoping Li, Jian Sun |
| 2022 | RecDis-SNN: Rectifying Membrane Potential Distribution for Directly Training Spiking Neural Networks. Yufei Guo, Xinyi Tong, Yuanpei Chen, Liwen Zhang, Xiaode Liu, Zhe Ma, Xuhui Huang |
| 2022 | Recall@k Surrogate Loss with Large Batches and Similarity Mixup. Yash Patel, Giorgos Tolias, Jirí Matas |
| 2022 | Reconstructing Surfaces for Sparse Point Clouds with On-Surface Priors. Baorui Ma, Yu-Shen Liu, Zhizhong Han |
| 2022 | Recurrent Dynamic Embedding for Video Object Segmentation. Mingxing Li, Li Hu, Zhiwei Xiong, Bang Zhang, Pan Pan, Dong Liu |
| 2022 | Recurrent Glimpse-based Decoder for Detection with Transformer. Zhe Chen, Jing Zhang, Dacheng Tao |
| 2022 | Recurrent Variational Network: A Deep Learning Inverse Problem Solver applied to the task of Accelerated MRI Reconstruction. George Yiasemis, Jan-Jakob Sonke, Clarisa I. Sánchez, Jonas Teuwen |
| 2022 | Recurring the Transformer for Video Action Recognition. Jiewen Yang, Xingbo Dong, Liujun Liu, Chao Zhang, Jiajun Shen, Dahai Yu |
| 2022 | Reduce Information Loss in Transformers for Pluralistic Image Inpainting. Qiankun Liu, Zhentao Tan, Dongdong Chen, Qi Chu, Xiyang Dai, Yinpeng Chen, Mengchen Liu, Lu Yuan, Nenghai Yu |
| 2022 | Ref-NeRF: Structured View-Dependent Appearance for Neural Radiance Fields. Dor Verbin, Peter Hedman, Ben Mildenhall, Todd E. Zickler, Jonathan T. Barron, Pratul P. Srinivasan |
| 2022 | Reference-based Video Super-Resolution Using Multi-Camera Video Triplets. Junyong Lee, Myeonghee Lee, Sunghyun Cho, Seungyong Lee |
| 2022 | Reflash Dropout in Image Super-Resolution. Xiangtao Kong, Xina Liu, Jinjin Gu, Yu Qiao, Chao Dong |
| 2022 | Reflection and Rotation Symmetry Detection via Equivariant Learning. Ahyun Seo, Byungjin Kim, Suha Kwak, Minsu Cho |
| 2022 | RegNeRF: Regularizing Neural Radiance Fields for View Synthesis from Sparse Inputs. Michael Niemeyer, Jonathan T. Barron, Ben Mildenhall, Mehdi S. M. Sajjadi, Andreas Geiger, Noha Radwan |
| 2022 | Region-Aware Face Swapping. Chao Xu, Jiangning Zhang, Miao Hua, Qian He, Zili Yi, Yong Liu |
| 2022 | RegionCLIP: Region-based Language-Image Pretraining. Yiwu Zhong, Jianwei Yang, Pengchuan Zhang, Chunyuan Li, Noel Codella, Liunian Harold Li, Luowei Zhou, Xiyang Dai, Lu Yuan, Yin Li, Jianfeng Gao |
| 2022 | Regional Semantic Contrast and Aggregation for Weakly Supervised Semantic Segmentation. Tianfei Zhou, Meijie Zhang, Fang Zhao, Jianwu Li |
| 2022 | Registering Explicit to Implicit: Towards High-Fidelity Garment mesh Reconstruction from Single Images. Heming Zhu, Lingteng Qiu, Yuda Qiu, Xiaoguang Han |
| 2022 | Reinforced Structured State-Evolution for Vision-Language Navigation. Jinyu Chen, Chen Gao, Erli Meng, Qiong Zhang, Si Liu |
| 2022 | RelTransformer: A Transformer-Based Long-Tail Visual Relationship Recognition. Jun Chen, Aniket Agarwal, Sherif Abdelkarim, Deyao Zhu, Mohamed Elhoseiny |
| 2022 | Relative Pose from a Calibrated and an Uncalibrated Smartphone Image. Yaqing Ding, Daniel Barath, Jian Yang, Zuzana Kukelova |
| 2022 | Relieving Long-tailed Instance Segmentation via Pairwise Class Balance. Yin-Yin He, Peizhen Zhang, Xiu-Shen Wei, Xiangyu Zhang, Jian Sun |
| 2022 | Remember Intentions: Retrospective-Memory-based Trajectory Prediction. Chenxin Xu, Weibo Mao, Wenjun Zhang, Siheng Chen |
| 2022 | Remember the Difference: Cross-Domain Few-Shot Semantic Segmentation via Meta-Memory Transfer. Wenjian Wang, Lijuan Duan, Yuxi Wang, Qing En, Junsong Fan, Zhaoxiang Zhang |
| 2022 | RendNet: Unified 2D/3D Recognizer with Latent Space Rendering. Ruoxi Shi, Xinyang Jiang, Caihua Shan, Yansen Wang, Dongsheng Li |
| 2022 | RepMLPNet: Hierarchical Vision MLP with Re-parameterized Locality. Xiaohan Ding, Honghao Chen, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2022 | RepNet: Efficient On-Device Learning via Feature Reprogramming. Li Yang, Adnan Siraj Rakin, Deliang Fan |
| 2022 | Replacing Labeled Real-image Datasets with Auto-generated Contours. Hirokatsu Kataoka, Ryo Hayamizu, Ryosuke Yamada, Kodai Nakashima, Sora Takashima, Xinyu Zhang, Edgar Josafat Martinez-Noriega, Nakamasa Inoue, Rio Yokota |
| 2022 | Represent, Compare, and Learn: A Similarity-Aware Framework for Class-Agnostic Counting. Min Shi, Hao Lu, Chen Feng, Chengxin Liu, Zhiguo Cao |
| 2022 | Representation Compensation Networks for Continual Semantic Segmentation. Chang-Bin Zhang, Jia-Wen Xiao, Xialei Liu, Ying-Cong Chen, Ming-Ming Cheng |
| 2022 | Representing 3D Shapes with Probabilistic Directed Distance Fields. Tristan Aumentado-Armstrong, Stavros Tsogkas, Sven J. Dickinson, Allan D. Jepson |
| 2022 | ResSFL: A Resistance Transfer Framework for Defending Model Inversion Attack in Split Federated Learning. Jingtao Li, Adnan Siraj Rakin, Xing Chen, Zhezhi He, Deliang Fan, Chaitali Chakrabarti |
| 2022 | RestoreFormer: High-Quality Blind Face Restoration from Undegraded Key-Value Pairs. Zhouxia Wang, Jiawei Zhang, Runjian Chen, Wenping Wang, Ping Luo |
| 2022 | Restormer: Efficient Transformer for High-Resolution Image Restoration. Syed Waqas Zamir, Aditya Arora, Salman Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang |
| 2022 | Rethinking Architecture Design for Tackling Data Heterogeneity in Federated Learning. Liangqiong Qu, Yuyin Zhou, Paul Pu Liang, Yingda Xia, Feifei Wang, Ehsan Adeli, Li Fei-Fei, Daniel L. Rubin |
| 2022 | Rethinking Bayesian Deep Learning Methods for Semi-Supervised Volumetric Medical Image Segmentation. Jianfeng Wang, Thomas Lukasiewicz |
| 2022 | Rethinking Controllable Variational Autoencoders. Huajie Shao, Yifei Yang, Haohong Lin, Longzhong Lin, Yizhuo Chen, Qinmin Yang, Han Zhao |
| 2022 | Rethinking Deep Face Restoration. Yang Zhao, Yu-Chuan Su, Chun-Te Chu, Yandong Li, Marius Renn, Yukun Zhu, Changyou Chen, Xuhui Jia |
| 2022 | Rethinking Depth Estimation for Multi-View Stereo: A Unified Representation. Rui Peng, Rongjie Wang, Zhenyu Wang, Yawen Lai, Ronggang Wang |
| 2022 | Rethinking Efficient Lane Detection via Curve Modeling. Zhengyang Feng, Shaohua Guo, Xin Tan, Ke Xu, Min Wang, Lizhuang Ma |
| 2022 | Rethinking Image Cropping: Exploring Diverse Compositions from Global Views. Gengyun Jia, Huaibo Huang, Chaoyou Fu, Ran He |
| 2022 | Rethinking Minimal Sufficient Representation in Contrastive Learning. Haoqing Wang, Xun Guo, Zhi-Hong Deng, Yan Lu |
| 2022 | Rethinking Reconstruction Autoencoder-Based Out-of-Distribution Detection. Yibo Zhou |
| 2022 | Rethinking Semantic Segmentation: A Prototype View. Tianfei Zhou, Wenguan Wang, Ender Konukoglu, Luc Van Gool |
| 2022 | Rethinking Spatial Invariance of Convolutional Networks for Object Counting. Zhi-Qi Cheng, Qi Dai, Hong Li, Jingkuan Song, Xiao Wu, Alexander G. Hauptmann |
| 2022 | Rethinking Visual Geo-localization for Large-Scale Applications. Gabriele Moreno Berton, Carlo Masone, Barbara Caputo |
| 2022 | Rethinking the Augmentation Module in Contrastive Learning: Learning Hierarchical Augmentation Invariance with Expanded Views. Junbo Zhang, Kaisheng Ma |
| 2022 | Retrieval Augmented Classification for Long-Tail Visual Recognition. Alexander Long, Wei Yin, Thalaiyasingam Ajanthan, Vu Nguyen, Pulak Purkait, Ravi Garg, Alan Blair, Chunhua Shen, Anton van den Hengel |
| 2022 | Retrieval-based Spatially Adaptive Normalization for Semantic Image Synthesis. Yupeng Shi, Xiao Liu, Yuxiang Wei, Zhongqin Wu, Wangmeng Zuo |
| 2022 | Reusing the Task-specific Classifier as a Discriminator: Discriminator-free Adversarial Domain Adaptation. Lin Chen, Huaian Chen, Zhixiang Wei, Xin Jin, Xiao Tan, Yi Jin, Enhong Chen |
| 2022 | Revealing Occlusions with 4D Neural Fields. Basile Van Hoorick, Purva Tendulkar, Dídac Surís, Dennis Park, Simon Stent, Carl Vondrick |
| 2022 | Reversible Vision Transformers. Karttikeya Mangalam, Haoqi Fan, Yanghao Li, Chao-Yuan Wu, Bo Xiong, Christoph Feichtenhofer, Jitendra Malik |
| 2022 | Revisiting AP Loss for Dense Object Detection: Adaptive Ranking Pair Selection. Dongli Xu, Jinhong Deng, Wen Li |
| 2022 | Revisiting Document Image Dewarping by Grid Regularization. Xiangwei Jiang, Rujiao Long, Nan Xue, Zhibo Yang, Cong Yao, Gui-Song Xia |
| 2022 | Revisiting Domain Generalized Stereo Matching Networks from a Feature Consistency Perspective. Jiawei Zhang, Xiang Wang, Xiao Bai, Chen Wang, Lei Huang, Yimin Chen, Lin Gu, Jun Zhou, Tatsuya Harada, Edwin R. Hancock |
| 2022 | Revisiting Learnable Affines for Batch Norm in Few-Shot Transfer Learning. Moslem Yazdanpanah, Aamer Abdul Rahman, Muawiz Chaudhary, Christian Desrosiers, Mohammad Havaei, Eugene Belilovsky, Samira Ebrahimi Kahou |
| 2022 | Revisiting Near/Remote Sensing with Geospatial Attention. Scott Workman, Muhammad Usman Rafique, Hunter Blanton, Nathan Jacobs |
| 2022 | Revisiting Random Channel Pruning for Neural Network Compression. Yawei Li, Kamil Adamczewski, Wen Li, Shuhang Gu, Radu Timofte, Luc Van Gool |
| 2022 | Revisiting Skeleton-based Action Recognition. Haodong Duan, Yue Zhao, Kai Chen, Dahua Lin, Bo Dai |
| 2022 | Revisiting Temporal Alignment for Video Restoration. Kun Zhou, Wenbo Li, Liying Lu, Xiaoguang Han, Jiangbo Lu |
| 2022 | Revisiting Weakly Supervised Pre-Training of Visual Perception Models. Mannat Singh, Laura Gustafson, Aaron Adcock, Vinicius de Freitas Reis, Bugra Gedik, Raj Prateek Kosaraju, Dhruv Mahajan, Ross B. Girshick, Piotr Dollár, Laurens van der Maaten |
| 2022 | Revisiting the "Video" in Video-Language Understanding. Shyamal Buch, Cristóbal Eyzaguirre, Adrien Gaidon, Jiajun Wu, Li Fei-Fei, Juan Carlos Niebles |
| 2022 | Revisiting the Transferability of Supervised Pretraining: an MLP Perspective. Yizhou Wang, Shixiang Tang, Feng Zhu, Lei Bai, Rui Zhao, Donglian Qi, Wanli Ouyang |
| 2022 | RigNeRF: Fully Controllable Neural 3D Portraits. Shahrukh Athar, Zexiang Xu, Kalyan Sunkavalli, Eli Shechtman, Zhixin Shu |
| 2022 | RigidFlow: Self-Supervised Scene Flow Learning on Point Clouds by Local Rigidity Prior. Ruibo Li, Chi Zhang, Guosheng Lin, Zhe Wang, Chunhua Shen |
| 2022 | Robust Combination of Distributed Gradients Under Adversarial Perturbations. Kwang In Kim |
| 2022 | Robust Contrastive Learning against Noisy Views. Ching-Yao Chuang, R. Devon Hjelm, Xin Wang, Vibhav Vineet, Neel Joshi, Antonio Torralba, Stefanie Jegelka, Yale Song |
| 2022 | Robust Cross-Modal Representation Learning with Progressive Self-Distillation. Alex Andonian, Shixing Chen, Raffay Hamid |
| 2022 | Robust Egocentric Photo-realistic Facial Expression Transfer for Virtual Reality. Amin Jourabloo, Fernando De la Torre, Jason M. Saragih, Shih-En Wei, Stephen Lombardi, Te-Li Wang, Danielle Belko, Autumn Trimble, Hernán Badino |
| 2022 | Robust Equivariant Imaging: a fully unsupervised framework for learning to image from noisy and partial measurements. Dongdong Chen, Julián Tachella, Mike E. Davies |
| 2022 | Robust Federated Learning with Noisy and Heterogeneous Clients. Xiuwen Fang, Mang Ye |
| 2022 | Robust Image Forgery Detection over Online Social Network Shared Images. Haiwei Wu, Jiantao Zhou, Jinyu Tian, Jun Liu |
| 2022 | Robust Invertible Image Steganography. Youmin Xu, Chong Mou, Yujie Hu, Jingfen Xie, Jian Zhang |
| 2022 | Robust Optimization as Data Augmentation for Large-scale Graphs. Kezhi Kong, Guohao Li, Mucong Ding, Zuxuan Wu, Chen Zhu, Bernard Ghanem, Gavin Taylor, Tom Goldstein |
| 2022 | Robust Region Feature Synthesizer for Zero-Shot Object Detection. Peiliang Huang, Junwei Han, De Cheng, Dingwen Zhang |
| 2022 | Robust Structured Declarative Classifiers for 3D Point Clouds: Defending Adversarial Attacks with Implicit Gradients. Kaidong Li, Ziming Zhang, Cuncong Zhong, Guanghui Wang |
| 2022 | Robust and Accurate Superquadric Recovery: a Probabilistic Approach. Weixiao Liu, Yuwei Wu, Sipu Ruan, Gregory S. Chirikjian |
| 2022 | Robust fine-tuning of zero-shot models. Mitchell Wortsman, Gabriel Ilharco, Jong Wook Kim, Mike Li, Simon Kornblith, Rebecca Roelofs, Raphael Gontijo Lopes, Hannaneh Hajishirzi, Ali Farhadi, Hongseok Namkoong, Ludwig Schmidt |
| 2022 | Robust outlier detection by de-biasing VAE likelihoods. Kushal Chauhan, Barath Mohan Umapathi, Pradeep Shenoy, Manish Gupta, Devarajan Sridharan |
| 2022 | Rope3D: The Roadside Perception Dataset for Autonomous Driving and Monocular 3D Object Detection Task. Xiaoqing Ye, Mao Shu, Hanyu Li, Yifeng Shi, Yingying Li, Guangjie Wang, Xiao Tan, Errui Ding |
| 2022 | Rotationally Equivariant 3D Object Detection. Hong-Xing Yu, Jiajun Wu, Li Yi |
| 2022 | SAR-Net: Shape Alignment and Recovery Network for Category-level 6D Object Pose and Size Estimation. Haitao Lin, Zichang Liu, Chilam Cheang, Yanwei Fu, Guodong Guo, Xiangyang Xue |
| 2022 | SASIC: Stereo Image Compression with Latent Shifts and Stereo Attention. Matthias Wödlinger, Jan Kotera, Jan Xu, Robert Sablatnig |
| 2022 | SC Zhi Chen, Kun Sun, Fan Yang, Wenbing Tao |
| 2022 | SCENIC: A JAX Library for Computer Vision Research and Beyond. Mostafa Dehghani, Alexey A. Gritsenko, Anurag Arnab, Matthias Minderer, Yi Tay |
| 2022 | SCS-Co: Self-Consistent Style Contrastive Learning for Image Harmonization. Yucheng Hang, Bin Xia, Wenming Yang, Qingmin Liao |
| 2022 | SEEG: Semantic Energized Co-speech Gesture Generation. Yuanzhi Liang, Qianyu Feng, Linchao Zhu, Li Hu, Pan Pan, Yi Yang |
| 2022 | SGTR: End-to-end Scene Graph Generation with Transformer. Rongjie Li, Songyang Zhang, Xuming He |
| 2022 | SHIFT: A Synthetic Driving Dataset for Continuous Multi-Task Domain Adaptation. Tao Sun, Mattia Segù, Janis Postels, Yuxuan Wang, Luc Van Gool, Bernt Schiele, Federico Tombari, Fisher Yu |
| 2022 | SIGMA: Semantic-complete Graph Matching for Domain Adaptive Object Detection. Wuyang Li, Xinyu Liu, Yixuan Yuan |
| 2022 | SIMBAR: Single Image-Based Scene Relighting For Effective Data Augmentation For Automated Driving Vision Tasks. Xianling Zhang, Nathan Tseng, Ameerah Syed, Rohan Bhasin, Nikita Jaipuria |
| 2022 | SIOD: Single Instance Annotated Per Category Per Image for Object Detection. Hanjun Li, Xingjia Pan, Ke Yan, Fan Tang, Wei-Shi Zheng |
| 2022 | SLIC: Self-Supervised Learning with Iterative Clustering for Human Action Videos. Salar Hosseini Khorasgani, Yuxuan Chen, Florian Shkurti |
| 2022 | SMPL-A: Modeling Person-Specific Deformable Anatomy. Hengtao Guo, Benjamin Planche, Meng Zheng, Srikrishna Karanam, Terrence Chen, Ziyan Wu |
| 2022 | SNR-Aware Low-light Image Enhancement. Xiaogang Xu, Ruixing Wang, Chi-Wing Fu, Jiaya Jia |
| 2022 | SNUG: Self-Supervised Neural Dynamic Garments. Igor Santesteban, Miguel A. Otaduy, Dan Casas |
| 2022 | SOMSI: Spherical Novel View Synthesis with Soft Occlusion Multi-Sphere Images. Tewodros Habtegebrial, Christiano Couto Gava, Marcel Rogge, Didier Stricker, Varun Jampani |
| 2022 | SPAMs: Structured Implicit Parametric Models. Pablo R. Palafox, Nikolaos Sarafianos, Tony Tung, Angela Dai |
| 2022 | SPAct: Self-supervised Privacy Preservation for Action Recognition. Ishan Rajendrakumar Dave, Chen Chen, Mubarak Shah |
| 2022 | SS3D: Sparsely-Supervised 3D Object Detection from Point Cloud. Chuandong Liu, Chenqiang Gao, Fangcen Liu, Jiang Liu, Deyu Meng, Xinbo Gao |
| 2022 | ST++: Make Self-trainingWork Better for Semi-supervised Semantic Segmentation. Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao |
| 2022 | ST-MFNet: A Spatio-Temporal Multi-Flow Network for Frame Interpolation. Duolikun Danier, Fan Zhang, David Bull |
| 2022 | STCrowd: A Multimodal Dataset for Pedestrian Perception in Crowded Scenes. Peishan Cong, Xinge Zhu, Feng Qiao, Yiming Ren, Xidong Peng, Yuenan Hou, Lan Xu, Ruigang Yang, Dinesh Manocha, Yuexin Ma |
| 2022 | STRPM: A Spatiotemporal Residual Predictive Model for High-Resolution Video Prediction. Zheng Chang, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Wen Gao |
| 2022 | SVIP: Sequence VerIfication for Procedures in Videos. Yicheng Qian, Weixin Luo, Dongze Lian, Xu Tang, Peilin Zhao, Shenghua Gao |
| 2022 | SWEM: Towards Real-Time Video Object Segmentation with Sequential Weighted Expectation-Maximization. Zhihui Lin, Tianyu Yang, Maomao Li, Ziyu Wang, Chun Yuan, Wenhao Jiang, Wei Liu |
| 2022 | Safe Self-Refinement for Transformer-based Domain Adaptation. Tao Sun, Cheng Lu, Tianshuo Zhang, Haibin Ling |
| 2022 | Safe-Student for Safe Deep Semi-Supervised Learning with Unseen-Class Unlabeled Data. Rundong He, Zhongyi Han, Xiankai Lu, Yilong Yin |
| 2022 | Salient-to-Broad Transition for Video Person Re-identification. Shutao Bai, Bingpeng Ma, Hong Chang, Rui Huang, Xilin Chen |
| 2022 | Salvage of Supervision in Weakly Supervised Object Detection. Lin Sui, Chen-Lin Zhang, Jianxin Wu |
| 2022 | Scalable Penalized Regression for Noise Detection in Learning with Noisy Labels. Yikai Wang, Xinwei Sun, Yanwei Fu |
| 2022 | Scale-Equivalent Distillation for Semi-Supervised Object Detection. Qiushan Guo, Yao Mu, Jianyu Chen, Tianqi Wang, Yizhou Yu, Ping Luo |
| 2022 | ScaleNet: A Shallow Architecture for Scale Estimation. Axel Barroso Laguna, Yurun Tian, Krystian Mikolajczyk |
| 2022 | Scaling Up Vision-Language Pretraining for Image Captioning. Xiaowei Hu, Zhe Gan, Jianfeng Wang, Zhengyuan Yang, Zicheng Liu, Yumao Lu, Lijuan Wang |
| 2022 | Scaling Up Your Kernels to 31×31: Revisiting Large Kernel Design in CNNs. Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2022 | Scaling Vision Transformers to Gigapixel Images via Hierarchical Self-Supervised Learning. Richard J. Chen, Chengkuan Chen, Yicong Li, Tiffany Y. Chen, Andrew D. Trister, Rahul G. Krishnan, Faisal Mahmood |
| 2022 | Scaling Vision Transformers. Xiaohua Zhai, Alexander Kolesnikov, Neil Houlsby, Lucas Beyer |
| 2022 | ScanQA: 3D Question Answering for Spatial Scene Understanding. Daichi Azuma, Taiki Miyanishi, Shuhei Kurita, Motoaki Kawanabe |
| 2022 | Scanline Homographies for Rolling-Shutter Plane Absolute Pose. Fang Bai, Agniva Sengupta, Adrien Bartoli |
| 2022 | ScePT: Scene-consistent, Policy-based Trajectory Predictions for Planning. Yuxiao Chen, Boris Ivanovic, Marco Pavone |
| 2022 | Scene Consistency Representation Learning for Video Scene Segmentation. Haoqian Wu, Keyu Chen, Yanan Luo, Ruizhi Qiao, Bo Ren, Haozhe Liu, Weicheng Xie, Linlin Shen |
| 2022 | Scene Graph Expansion for Semantics-Guided Image Outpainting. Chiao-An Yang, Cheng-Yo Tan, Wan-Cyuan Fan, Cheng-Fu Yang, Meng-Lin Wu, Yu-Chiang Frank Wang |
| 2022 | Scene Representation Transformer: Geometry-Free Novel View Synthesis Through Set-Latent Scene Representations. Mehdi S. M. Sajjadi, Henning Meyer, Etienne Pot, Urs Bergmann, Klaus Greff, Noha Radwan, Suhani Vora, Mario Lucic, Daniel Duckworth, Alexey Dosovitskiy, Jakob Uszkoreit, Thomas A. Funkhouser, Andrea Tagliasacchi |
| 2022 | SceneSqueezer: Learning to Compress Scene for Camera Relocalization. Luwei Yang, Rakesh Shrestha, Wenbo Li, Shuaicheng Liu, Guofeng Zhang, Zhaopeng Cui, Ping Tan |
| 2022 | Scribble-Supervised LiDAR Semantic Segmentation. Ozan Unal, Dengxin Dai, Luc Van Gool |
| 2022 | Searching the Deployable Convolution Neural Networks for GPUs. Linnan Wang, Chenhan Yu, Satish Salian, Slawomir Kierat, Szymon Migacz, Alex Fit-Florea |
| 2022 | SeeThroughNet: Resurrection of Auxiliary Loss by Preserving Class Probability Information. Dasol Han, Jaewook Yoo, Dokwan Oh |
| 2022 | Segment and Complete: Defending Object Detectors against Adversarial Patch Attacks with Robust Patch Detection. Jiang Liu, Alexander Levine, Chun Pong Lau, Rama Chellappa, Soheil Feizi |
| 2022 | Segment, Magnify and Reiterate: Detecting Camouflaged Objects the Hard Way. Qi Jia, Shuilian Yao, Yu Liu, Xin Fan, Risheng Liu, Zhongxuan Luo |
| 2022 | Segment-Fusion: Hierarchical Context Fusion for Robust 3D Semantic Segmentation. Anirud Thyagharajan, Benjamin Ummenhofer, Prashant Laddha, Om Ji Omer, Sreenivas Subramoney |
| 2022 | Selective-Supervised Contrastive Learning with Noisy Labels. Shikun Li, Xiaobo Xia, Shiming Ge, Tongliang Liu |
| 2022 | Self-Distillation from the Last Mini-Batch for Consistency Regularization. Yiqing Shen, Liwu Xu, Yuzhe Yang, Yaqian Li, Yandong Guo |
| 2022 | Self-Supervised Arbitrary-Scale Point Clouds Upsampling via Implicit Neural Representation. Wenbo Zhao, Xianming Liu, Zhiwei Zhong, Junjun Jiang, Wei Gao, Ge Li, Xiangyang Ji |
| 2022 | Self-Supervised Bulk Motion Artifact Removal in Optical Coherence Tomography Angiography. Jiaxiang Ren, Kicheon Park, Yingtian Pan, Haibin Ling |
| 2022 | Self-Supervised Dense Consistency Regularization for Image-to-Image Translation. Minsu Ko, Eunju Cha, Sungjoo Suh, Huijin Lee, Jae-Joon Han, Jinwoo Shin, Bohyung Han |
| 2022 | Self-Supervised Equivariant Learning for Oriented Keypoint Detection. Jongmin Lee, Byungjin Kim, Minsu Cho |
| 2022 | Self-Supervised Global-Local Structure Modeling for Point Cloud Domain Adaptation with Reliable Voted Pseudo Labels. Hehe Fan, Xiaojun Chang, Wanyue Zhang, Yi Cheng, Ying Sun, Mohan S. Kankanhalli |
| 2022 | Self-Supervised Image Representation Learning with Geometric Set Consistency. Nenglun Chen, Lei Chu, Hao Pan, Yan Lu, Wenping Wang |
| 2022 | Self-Supervised Keypoint Discovery in Behavioral Videos. Jennifer J. Sun, Serim Ryou, Roni H. Goldshmid, Brandon Weissbourd, John O. Dabiri, David J. Anderson, Ann Kennedy, Yisong Yue, Pietro Perona |
| 2022 | Self-Supervised Learning of Object Parts for Semantic Segmentation. Adrian Ziegler, Yuki M. Asano |
| 2022 | Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks. Peri Akiva, Matthew Purri, Matthew J. Leotta |
| 2022 | Self-Supervised Models are Continual Learners. Enrico Fini, Victor G. Turrisi da Costa, Xavier Alameda-Pineda, Elisa Ricci, Karteek Alahari, Julien Mairal |
| 2022 | Self-Supervised Pre-Training of Swin Transformers for 3D Medical Image Analysis. Yucheng Tang, Dong Yang, Wenqi Li, Holger R. Roth, Bennett A. Landman, Daguang Xu, Vishwesh Nath, Ali Hatamizadeh |
| 2022 | Self-Supervised Predictive Convolutional Attentive Block for Anomaly Detection. Nicolae-Catalin Ristea, Neelu Madan, Radu Tudor Ionescu, Kamal Nasrollahi, Fahad Shahbaz Khan, Thomas B. Moeslund, Mubarak Shah |
| 2022 | Self-Supervised Super-Resolution for Multi-Exposure Push-Frame Satellites. Ngoc Long Nguyen, Jérémy Anger, Axel Davy, Pablo Arias, Gabriele Facciolo |
| 2022 | Self-Supervised Transformers for Unsupervised Object Discovery using Normalized Cut. Yangtao Wang, Xi Shen, Shell Xu Hu, Yuan Yuan, James L. Crowley, Dominique Vaufreydaz |
| 2022 | Self-Sustaining Representation Expansion for Non-Exemplar Class-Incremental Learning. Kai Zhu, Wei Zhai, Yang Cao, Jiebo Luo, Zhengjun Zha |
| 2022 | Self-Taught Metric Learning without Labels. SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak |
| 2022 | Self-augmented Unpaired Image Dehazing via Density and Depth Decomposition. Yang Yang, Chaoyue Wang, Risheng Liu, Lin Zhang, Xiaojie Guo, Dacheng Tao |
| 2022 | Self-supervised Correlation Mining Network for Person Image Generation. Zijian Wang, Xingqun Qi, Kun Yuan, Muyi Sun |
| 2022 | Self-supervised Deep Image Restoration via Adaptive Stochastic Gradient Langevin Dynamics. Weixi Wang, Ji Li, Hui Ji |
| 2022 | Self-supervised Image-specific Prototype Exploration for Weakly Supervised Semantic Segmentation. Qi Chen, Lingxiao Yang, Jianhuang Lai, Xiaohua Xie |
| 2022 | Self-supervised Learning of Adversarial Example: Towards Good Generalizations for Deepfake Detection. Liang Chen, Yong Zhang, Yibing Song, Lingqiao Liu, Jue Wang |
| 2022 | Self-supervised Neural Articulated Shape and Appearance Models. Fangyin Wei, Rohan Chabra, Lingni Ma, Christoph Lassner, Michael Zollhöfer, Szymon Rusinkiewicz, Chris Sweeney, Richard A. Newcombe, Mira Slavcheva |
| 2022 | Self-supervised Spatial Reasoning on Multi-View Line Drawings. Siyuan Xiang, Anbang Yang, Yanfei Xue, Yaoqing Yang, Chen Feng |
| 2022 | Self-supervised Video Transformer. Kanchana Ranasinghe, Muzammal Naseer, Salman Khan, Fahad Shahbaz Khan, Michael S. Ryoo |
| 2022 | Self-supervised object detection from audio-visual correspondence. Triantafyllos Afouras, Yuki M. Asano, Francois Fagan, Andrea Vedaldi, Florian Metze |
| 2022 | SelfD: Self-Learning Large-Scale Driving Policies From the Web. Jimuyang Zhang, Ruizhao Zhu, Eshed Ohn-Bar |
| 2022 | SelfRecon: Self Reconstruction Your Digital Avatar from Monocular Video. Boyi Jiang, Yang Hong, Hujun Bao, Juyong Zhang |
| 2022 | SemAffiNet: Semantic-Affine Transformation for Point Cloud Segmentation. Ziyi Wang, Yongming Rao, Xumin Yu, Jie Zhou, Jiwen Lu |
| 2022 | Semantic Segmentation by Early Region Proxy. Yifan Zhang, Bo Pang, Cewu Lu |
| 2022 | Semantic-Aware Auto-Encoders for Self-supervised Representation Learning. Guangrun Wang, Yansong Tang, Liang Lin, Philip H. S. Torr |
| 2022 | Semantic-Aware Domain Generalized Segmentation. Duo Peng, Yinjie Lei, Munawar Hayat, Yulan Guo, Wen Li |
| 2022 | Semantic-aligned Fusion Transformer for One-shot Object Detection. Yizhou Zhao, Xun Guo, Yan Lu |
| 2022 | Semantic-shape Adaptive Feature Modulation for Semantic Image Synthesis. Zhengyao Lv, Xiaoming Li, Zhenxing Niu, Bing Cao, Wangmeng Zuo |
| 2022 | SemanticStyleGAN: Learning Compositional Generative Priors for Controllable Image Synthesis and Editing. Yichun Shi, Xiao Yang, Yangyue Wan, Xiaohui Shen |
| 2022 | Semi-Supervised Few-shot Learning via Multi-Factor Clustering. Jie Ling, Lei Liao, Meng Yang, Jia Shuai |
| 2022 | Semi-Supervised Learning of Semantic Correspondence with Pseudo-Labels. Jiwon Kim, Kwangrok Ryoo, Junyoung Seo, Gyuseong Lee, Daehwan Kim, Hansang Cho, Seungryong Kim |
| 2022 | Semi-Supervised Object Detection via Multi-instance Alignment with Global Class Prototypes. Aoxue Li, Peng Yuan, Zhenguo Li |
| 2022 | Semi-Supervised Semantic Segmentation Using Unreliable Pseudo-Labels. Yuchao Wang, Haochen Wang, Yujun Shen, Jingjing Fei, Wei Li, Guoqiang Jin, Liwei Wu, Rui Zhao, Xinyi Le |
| 2022 | Semi-Supervised Video Semantic Segmentation with Inter-Frame Feature Reconstruction. Jiafan Zhuang, Zilei Wang, Yuan Gao |
| 2022 | Semi-Supervised Wide-Angle Portraits Correction by Multi-Scale Transformer. Fushun Zhu, Shan Zhao, Peng Wang, Hao Wang, Hua Yan, Shuaicheng Liu |
| 2022 | Semi-Weakly-Supervised Learning of Complex Actions from Instructional Task Videos. Yuhan Shen, Ehsan Elhamifar |
| 2022 | Semi-supervised Semantic Segmentation with Error Localization Network. Donghyeon Kwon, Suha Kwak |
| 2022 | Semi-supervised Video Paragraph Grounding with Contrastive Encoder. Xun Jiang, Xing Xu, Jingran Zhang, Fumin Shen, Zuo Cao, Heng Tao Shen |
| 2022 | Semiconductor Defect Detection by Hybrid Classical-Quantum Deep Learning. YuanFu Yang, Min Sun |
| 2022 | Sequential Voting with Relational Box Fields for Active Object Detection. Qichen Fu, Xingyu Liu, Kris M. Kitani |
| 2022 | Set-Supervised Action Learning in Procedural Task Videos via Pairwise Order Consistency. Zijia Lu, Ehsan Elhamifar |
| 2022 | Shadows can be Dangerous: Stealthy and Effective Physical-world Adversarial Attack by Natural Phenomenon. Yiqi Zhong, Xianming Liu, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2022 | Shape from Polarization for Complex Scenes in the Wild. Chenyang Lei, Chenyang Qi, Jiaxin Xie, Na Fan, Vladlen Koltun, Qifeng Chen |
| 2022 | Shape from Thermal Radiation: Passive Ranging Using Multi-spectral LWIR Measurements. Yasuto Nagase, Takahiro Kushida, Kenichiro Tanaka, Takuya Funatomi, Yasuhiro Mukaigawa |
| 2022 | Shape-invariant 3D Adversarial Point Clouds. Qidong Huang, Xiaoyi Dong, Dongdong Chen, Hang Zhou, Weiming Zhang, Nenghai Yu |
| 2022 | ShapeFormer: Transformer-based Shape Completion via Sparse Representation. Xingguang Yan, Liqiang Lin, Niloy J. Mitra, Dani Lischinski, Daniel Cohen-Or, Hui Huang |
| 2022 | Shapley-NAS: Discovering Operation Contribution for Neural Architecture Search. Han Xiao, Ziwei Wang, Zheng Zhu, Jie Zhou, Jiwen Lu |
| 2022 | SharpContour: A Contour-based Boundary Refinement Approach for Efficient and Accurate Instance Segmentation. Chenming Zhu, Xuanye Zhang, Yanran Li, Liangdong Qiu, Kai Han, Xiaoguang Han |
| 2022 | Shifting More Attention to Visual Backbone: Query-modulated Refinement Networks for End-to-End Visual Grounding. Jiabo Ye, Junfeng Tian, Ming Yan, Xiaoshan Yang, Xuwu Wang, Ji Zhang, Liang He, Xin Lin |
| 2022 | Show Me What and Tell Me How: Video Synthesis via Multimodal Conditioning. Ligong Han, Jian Ren, Hsin-Ying Lee, Francesco Barbieri, Kyle Olszewski, Shervin Minaee, Dimitris N. Metaxas, Sergey Tulyakov |
| 2022 | Show, Deconfound and Tell: Image Captioning with Causal Inference. Bing Liu, Dong Wang, Xu Yang, Yong Zhou, Rui Yao, Zhiwen Shao, Jiaqi Zhao |
| 2022 | Shunted Self-Attention via Multi-Scale Token Aggregation. Sucheng Ren, Daquan Zhou, Shengfeng He, Jiashi Feng, Xinchao Wang |
| 2022 | Siamese Contrastive Embedding Network for Compositional Zero-Shot Learning. Xiangyu Li, Xu Yang, Kun Wei, Cheng Deng, Muli Yang |
| 2022 | Sign Language Video Retrieval with Free-Form Textual Queries. Amanda Cardoso Duarte, Samuel Albanie, Xavier Giró-i-Nieto, Gül Varol |
| 2022 | Signing at Scale: Learning to Co-Articulate Signs for Large-Scale Photo-Realistic Sign Language Production. Ben Saunders, Necati Cihan Camgöz, Richard Bowden |
| 2022 | Sim VQA: Exploring Simulated Environments for Visual Question Answering. Paola Cascante-Bonilla, Hui Wu, Letao Wang, Rogério Feris, Vicente Ordonez |
| 2022 | SimAN: Exploring Self-Supervised Representation Learning of Scene Text via Similarity-Aware Normalization. Canjie Luo, Lianwen Jin, Jingdong Chen |
| 2022 | SimMIM: a Simple Framework for Masked Image Modeling. Zhenda Xie, Zheng Zhang, Yue Cao, Yutong Lin, Jianmin Bao, Zhuliang Yao, Qi Dai, Han Hu |
| 2022 | SimMatch: Semi-supervised Learning with Similarity Matching. Mingkai Zheng, Shan You, Lang Huang, Fei Wang, Chen Qian, Chang Xu |
| 2022 | SimT: Handling Open-set Noise for Domain Adaptive Semantic Segmentation. Xiaoqing Guo, Jie Liu, Tongliang Liu, Yixuan Yuan |
| 2022 | SimVP: Simpler yet Better Video Prediction. Zhangyang Gao, Cheng Tan, Lirong Wu, Stan Z. Li |
| 2022 | Simple Multi-dataset Detection. Xingyi Zhou, Vladlen Koltun, Philipp Krähenbühl |
| 2022 | Simple but Effective: CLIP Embeddings for Embodied AI. Apoorv Khandelwal, Luca Weihs, Roozbeh Mottaghi, Aniruddha Kembhavi |
| 2022 | Simulated Adversarial Testing of Face Recognition Models. Nataniel Ruiz, Adam Kortylewski, Weichao Qiu, Cihang Xie, Sarah Adel Bargal, Alan L. Yuille, Stan Sclaroff |
| 2022 | Single-Domain Generalized Object Detection in Urban Scene via Cyclic-Disentangled Self-Distillation. Aming Wu, Cheng Deng |
| 2022 | Single-Photon Structured Light. Varun Sundar, Sizhuo Ma, Aswin C. Sankaranarayanan, Mohit Gupta |
| 2022 | Single-Stage 3D Geometry-Preserving Depth Estimation Model Training on Dataset Mixtures with Uncalibrated Stereo Data. Nikolay Patakin, Anna Vorontsova, Mikhail Artemyev, Anton Konushin |
| 2022 | Single-Stage is Enough: Multi-Person Absolute 3D Pose Estimation. Lei Jin, Chenyang Xu, Xiaojuan Wang, Yabo Xiao, Yandong Guo, Xuecheng Nie, Jian Zhao |
| 2022 | Sketch3T: Test-Time Training for Zero-Shot SBIR. Aneeshan Sain, Ayan Kumar Bhunia, Vaishnav Potlapalli, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2022 | SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches. Yu Zeng, Zhe Lin, Vishal M. Patel |
| 2022 | Sketching without Worrying: Noise-Tolerant Sketch-Based Image Retrieval. Ayan Kumar Bhunia, Subhadeep Koley, Abdullah Faiz Ur Rahman Khilji, Aneeshan Sain, Pinaki Nath Chowdhury, Tao Xiang, Yi-Zhe Song |
| 2022 | SkinningNet: Two-Stream Graph Convolutional Neural Network for Skinning Prediction of Synthetic Characters. Albert Mosella-Montoro, Javier Ruiz Hidalgo |
| 2022 | Slimmable Domain Adaptation. Rang Meng, Weijie Chen, Shicai Yang, Jie Song, Luojun Lin, Di Xie, Shiliang Pu, Xinchao Wang, Mingli Song, Yueting Zhuang |
| 2022 | Slot-VPS: Object-centric Representation Learning for Video Panoptic Segmentation. Yi Zhou, Hui Zhang, Hana Lee, Shuyang Sun, Pingjun Li, Yangguang Zhu, ByungIn Yoo, Xiaojuan Qi, Jae-Joon Han |
| 2022 | SmartPortraits: Depth Powered Handheld Smartphone Dataset of Human Portraits for State Estimation, Reconstruction and Synthesis. Anastasiia Kornilova, Marsel Faizullin, Konstantin Pakulev, Andrey Sadkov, Denis Kukushkin, Azat Akhmetyanov, Timur Akhtyamov, Hekmat Taherinejad, Gonzalo Ferrer |
| 2022 | Smartadapt: Multi-branch Object Detection Framework for Videos on Mobiles. Ran Xu, Fangzhou Mu, Jayoung Lee, Preeti Mukherjee, Somali Chaterji, Saurabh Bagchi, Yin Li |
| 2022 | Smooth Maximum Unit: Smooth Activation Function for Deep Networks using Smoothing Maximum Technique. Koushik Biswas, Sandeep Kumar, Shilpak Banerjee, Ashish Kumar Pandey |
| 2022 | Smooth-Swap: A Simple Enhancement for Face-Swapping with Smoothness. Jiseob Kim, Jihoon Lee, Byoung-Tak Zhang |
| 2022 | SoftCollage: A Differentiable Probabilistic Tree Generator for Image Collage. Jiahao Yu, Li Chen, Mingrui Zhang, Mading Li |
| 2022 | SoftGroup for 3D Instance Segmentation on Point Clouds. Thang Vu, Kookhoi Kim, Tung Minh Luu, Thanh Xuan Nguyen, Chang D. Yoo |
| 2022 | Sound and Visual Representation Learning with Multiple Pretraining Tasks. Arun Balajee Vasudevan, Dengxin Dai, Luc Van Gool |
| 2022 | Sound-Guided Semantic Image Manipulation. Seung Hyun Lee, Wonseok Roh, Wonmin Byeon, Sang Ho Yoon, Chanyoung Kim, Jinkyu Kim, Sangpil Kim |
| 2022 | Source-Free Domain Adaptation via Distribution Estimation. Ning Ding, Yixing Xu, Yehui Tang, Chao Xu, Yunhe Wang, Dacheng Tao |
| 2022 | Source-Free Object Detection by Learning to Overlook Domain Style. Shuaifeng Li, Mao Ye, Xiatian Zhu, Lihua Zhou, Lin Xiong |
| 2022 | SpaceEdit: Learning a Unified Editing Space for Open-Domain Image Color Editing. Jing Shi, Ning Xu, Haitian Zheng, Alex Smith, Jiebo Luo, Chenliang Xu |
| 2022 | Sparse Fuse Dense: Towards High Quality 3D Detection with Depth Completion. Xiaopei Wu, Liang Peng, Honghui Yang, Liang Xie, Chenxi Huang, Chengqi Deng, Haifeng Liu, Deng Cai |
| 2022 | Sparse Instance Activation for Real-Time Instance Segmentation. Tianheng Cheng, Xinggang Wang, Shaoyu Chen, Wenqiang Zhang, Qian Zhang, Chang Huang, Zhaoxiang Zhang, Wenyu Liu |
| 2022 | Sparse Local Patch Transformer for Robust Face Alignment and Landmarks Inherent Relation Learning. Jiahao Xia, Weiwei Qu, Wenjian Huang, Jianguo Zhang, Xi Wang, Min Xu |
| 2022 | Sparse Non-local CRF. Olga Veksler, Yuri Boykov |
| 2022 | Sparse Object-level Supervision for Instance Segmentation with Pixel Embeddings. Adrian Wolny, Qin Yu, Constantin Pape, Anna Kreshuk |
| 2022 | Sparse and Complete Latent Organization for Geospatial Semantic Segmentation. Fengyu Yang, Chenyang Ma |
| 2022 | Sparse to Dense Dynamic 3D Facial Expression Generation. Naima Otberdout, Claudio Ferrari, Mohamed Daoudi, Stefano Berretti, Alberto Del Bimbo |
| 2022 | Spatial Commonsense Graph for Object Localisation in Partial Scenes. Francesco Giuliari, Geri Skenderi, Marco Cristani, Yiming Wang, Alessio Del Bue |
| 2022 | Spatial-Temporal Parallel Transformer for Arm-Hand Dynamic Estimation. Shuying Liu, Wenbin Wu, Jiaxian Wu, Yue Lin |
| 2022 | Spatial-Temporal Space Hand-in-Hand: Spatial-Temporal Video Super-Resolution via Cycle-Projected Mutual Learning. Mengshun Hu, Kui Jiang, Liang Liao, Jing Xiao, Junjun Jiang, Zheng Wang |
| 2022 | Spatially-Adaptive Multilayer Selection for GAN Inversion and Editing. Gaurav Parmar, Yijun Li, Jingwan Lu, Richard Zhang, Jun-Yan Zhu, Krishna Kumar Singh |
| 2022 | Spatio-Temporal Gating-Adjacency GCN for Human Motion Prediction. Chongyang Zhong, Lei Hu, Zihao Zhang, Yongjing Ye, Shihong Xia |
| 2022 | Spatio-temporal Relation Modeling for Few-shot Action Recognition. Anirudh Thatipelli, Sanath Narayan, Salman Khan, Rao Muhammad Anwer, Fahad Shahbaz Khan, Bernard Ghanem |
| 2022 | Spectral Unsupervised Domain Adaptation for Visual Recognition. Jingyi Zhang, Jiaxing Huang, Zichen Tian, Shijian Lu |
| 2022 | Speech Driven Tongue Animation. Salvador Medina, Denis Tomè, Carsten Stoll, Mark Tiede, Kevin Munhall, Alex Hauptmann, Iain A. Matthews |
| 2022 | Speed up Object Detection on Gigapixel-level Images with Patch Arrangement. Jiahao Fan, Huabin Liu, Wenjie Yang, John See, Aixin Zhang, Weiyao Lin |
| 2022 | SphereSR: 360° Image Super-Resolution with Arbitrary Projection via Continuous Spherical Image Representation. Youngho Yoon, Inchul Chung, Lin Wang, Kuk-Jin Yoon |
| 2022 | SphericGAN: Semi-supervised Hyper-spherical Generative Adversarial Networks for Fine-grained Image Synthesis. Tianyi Chen, Yunfei Zhang, Xiaoyang Huo, Si Wu, Yong Xu, Hau-San Wong |
| 2022 | Spiking Transformers for Event-based Single Object Tracking. Jiqing Zhang, Bo Dong, Haiwei Zhang, Jianchuan Ding, Felix Heide, Baocai Yin, Xin Yang |
| 2022 | Splicing ViT Features for Semantic Appearance Transfer. Narek Tumanyan, Omer Bar-Tal, Shai Bagon, Tali Dekel |
| 2022 | Split Hierarchical Variational Compression. Tom Ryder, Chen Zhang, Ning Kang, Shifeng Zhang |
| 2022 | SplitNets: Designing Neural Architectures for Efficient Distributed Computing on Head-Mounted Systems. Xin Dong, Barbara De Salvo, Meng Li, Chiao Liu, Zhongnan Qu, H. T. Kung, Ziyun Li |
| 2022 | Stability-driven Contact Reconstruction From Monocular Color Images. Zimeng Zhao, Binghui Zuo, Wei Xie, Yangang Wang |
| 2022 | Stable Long-Term Recurrent Video Super-Resolution. Benjamin Naoto Chiche, Arnaud Woiselle, Joana Frontera-Pons, Jean-Luc Starck |
| 2022 | Stacked Hybrid-Attention and Group Collaborative Learning for Unbiased Scene Graph Generation. Xingning Dong, Tian Gan, Xuemeng Song, Jianlong Wu, Yuan Cheng, Liqiang Nie |
| 2022 | Stand-Alone Inter-Frame Attention in Video Models. Fuchen Long, Zhaofan Qiu, Yingwei Pan, Ting Yao, Jiebo Luo, Tao Mei |
| 2022 | Stereo Depth from Events Cameras: Concentrate and Focus on the Future. Yeongwoo Nam, S. Mohammad Mostafavi I., Kuk-Jin Yoon, Jonghyun Choi |
| 2022 | Stereo Magnification with Multi-Layer Images. Taras Khakhulin, Denis Korzhenkov, Pavel Solovev, Gleb Sterkin, Andrei-Timotei Ardelean, Victor Lempitsky |
| 2022 | Stereoscopic Universal Perturbations across Different Architectures and Datasets. Zachary Berger, Parth Agrawal, Tian Yu Liu, Stefano Soatto, Alex Wong |
| 2022 | Stochastic Backpropagation: A Memory Efficient Strategy for Training Video Models. Feng Cheng, Mingze Xu, Yuanjun Xiong, Hao Chen, Xinyu Li, Wei Li, Wei Xia |
| 2022 | Stochastic Trajectory Prediction via Motion Indeterminacy Diffusion. Tianpei Gu, Guangyi Chen, Junlong Li, Chunze Lin, Yongming Rao, Jie Zhou, Jiwen Lu |
| 2022 | Stochastic Variance Reduced Ensemble Adversarial Attack for Boosting the Adversarial Transferability. Yifeng Xiong, Jiadong Lin, Min Zhang, John E. Hopcroft, Kun He |
| 2022 | Stratified Transformer for 3D Point Cloud Segmentation. Xin Lai, JianHui Liu, Li Jiang, Liwei Wang, Hengshuang Zhao, Shu Liu, Xiaojuan Qi, Jiaya Jia |
| 2022 | Structural and Statistical Texture Knowledge Distillation for Semantic Segmentation. Deyi Ji, Haoran Wang, Mingyuan Tao, Jianqiang Huang, Xian-Sheng Hua, Hongtao Lu |
| 2022 | Structure-Aware Flow Generation for Human Body Reshaping. Jianqiang Ren, Yuan Yao, Biwen Lei, Miaomiao Cui, Xuansong Xie |
| 2022 | Structure-Aware Motion Transfer with Deformable Anchor Model. Jiale Tao, Biao Wang, Borun Xu, Tiezheng Ge, Yuning Jiang, Wen Li, Lixin Duan |
| 2022 | Structured Local Radiance Fields for Human Avatar Modeling. Zerong Zheng, Han Huang, Tao Yu, Hongwen Zhang, Yandong Guo, Yebin Liu |
| 2022 | Structured Sparse R-CNN for Direct Scene Graph Generation. Yao Teng, Limin Wang |
| 2022 | StyTr Yingying Deng, Fan Tang, Weiming Dong, Chongyang Ma, Xingjia Pan, Lei Wang, Changsheng Xu |
| 2022 | Style Neophile: Constantly Seeking Novel Styles for Domain Generalization. Juwon Kang, Sohyun Lee, Namyup Kim, Suha Kwak |
| 2022 | Style Transformer for Image Inversion and Editing. Xueqi Hu, Qiusheng Huang, Zhengyi Shi, Siyuan Li, Changxin Gao, Li Sun, Qingli Li |
| 2022 | Style-Based Global Appearance Flow for Virtual Try-On. Sen He, Yi-Zhe Song, Tao Xiang |
| 2022 | Style-ERD: Responsive and Coherent Online Motion Style Transfer. Tianxin Tao, Xiaohang Zhan, Zhongquan Chen, Michiel van de Panne |
| 2022 | Style-Structure Disentangled Features and Normalizing Flows for Diverse Icon Colorization. Yuan-kui Li, Yun-Hsuan Lien, Yu-Shuen Wang |
| 2022 | StyleGAN-V: A Continuous Video Generator with the Price, Image Quality and Perks of StyleGAN2. Ivan Skorokhodov, Sergey Tulyakov, Mohamed Elhoseiny |
| 2022 | StyleMesh: Style Transfer for Indoor 3D Scene Reconstructions. Lukas Höllein, Justin Johnson, Matthias Nießner |
| 2022 | StyleSDF: High-Resolution 3D-Consistent Image and Geometry Generation. Roy Or-El, Xuan Luo, Mengyi Shan, Eli Shechtman, Jeong Joon Park, Ira Kemelmacher-Shlizerman |
| 2022 | StyleSwin: Transformer-based GAN for High-resolution Image Generation. Bowen Zhang, Shuyang Gu, Bo Zhang, Jianmin Bao, Dong Chen, Fang Wen, Yong Wang, Baining Guo |
| 2022 | StyleT2I: Toward Compositional and High-Fidelity Text-to-Image Synthesis. Zhiheng Li, Martin Renqiang Min, Kai Li, Chenliang Xu |
| 2022 | Styleformer: Transformer based Generative Adversarial Networks with Style Vector. Jeeseung Park, Younggeun Kim |
| 2022 | StylizedNeRF: Consistent 3D Scene Stylization as Stylized NeRF via 2D-3D Mutual Learning. Yihua Huang, Yue He, Yu-Jie Yuan, Yu-Kun Lai, Lin Gao |
| 2022 | Sub-word Level Lip Reading With Visual Attention. K. R. Prajwal, Triantafyllos Afouras, Andrew Zisserman |
| 2022 | Subspace Adversarial Training. Tao Li, Yingwen Wu, Sizhe Chen, Kun Fang, Xiaolin Huang |
| 2022 | Super-Fibonacci Spirals: Fast, Low-Discrepancy Sampling of SO(3). Marc Alexa |
| 2022 | SurfEmb: Dense and Continuous Correspondence Distributions for Object Pose Estimation with Learnt Surface Embeddings. Rasmus Laurvig Haugaard, Anders Glent Buch |
| 2022 | Surface Reconstruction from Point Clouds by Learning Predictive Context Priors. Baorui Ma, Yu-Shen Liu, Matthias Zwicker, Zhizhong Han |
| 2022 | Surface Representation for Point Clouds. Haoxi Ran, Jun Liu, Chengjie Wang |
| 2022 | Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis. Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto |
| 2022 | Surpassing the Human Accuracy: Detecting Gallbladder Cancer from USG Images with Curriculum Learning. Soumen Basu, Mayank Gupta, Pratyaksha Rana, Pankaj Gupta, Chetan Arora |
| 2022 | SwapMix: Diagnosing and Regularizing the Over-Reliance on Visual Context in Visual Question Answering. Vipul Gupta, Zhuowan Li, Adam Kortylewski, Chenyu Zhang, Yingwei Li, Alan L. Yuille |
| 2022 | Swin Transformer V2: Scaling Up Capacity and Resolution. Ze Liu, Han Hu, Yutong Lin, Zhuliang Yao, Zhenda Xie, Yixuan Wei, Jia Ning, Yue Cao, Zheng Zhang, Li Dong, Furu Wei, Baining Guo |
| 2022 | SwinBERT: End-to-End Transformers with Sparse Attention for Video Captioning. Kevin Lin, Linjie Li, Chung-Ching Lin, Faisal Ahmed, Zhe Gan, Zicheng Liu, Yumao Lu, Lijuan Wang |
| 2022 | SwinTextSpotter: Scene Text Spotting via Better Synergy between Text Detection and Text Recognition. Mingxin Huang, Yuliang Liu, Zhenghao Peng, Chongyu Liu, Dahua Lin, Shenggao Zhu, Nicholas Jing Yuan, Kai Ding, Lianwen Jin |
| 2022 | Sylph: A Hypernetwork Framework for Incremental Few-shot Object Detection. Li Yin, Juan M. Perez-Rua, Kevin J. Liang |
| 2022 | Symmetry and Uncertainty-Aware Object SLAM for 6DoF Object Pose Estimation. Nathaniel Merrill, Yuliang Guo, Xingxing Zuo, Xinyu Huang, Stefan Leutenegger, Xi Peng, Liu Ren, Guoquan Huang |
| 2022 | Symmetry-aware Neural Architecture for Embodied Visual Exploration. Shuang Liu, Takayuki Okatani |
| 2022 | Syntax-Aware Network for Handwritten Mathematical Expression Recognition. Ye Yuan, Xiao Liu, Wondimu Dikubab, Hui Liu, Zhilong Ji, Zhongqin Wu, Xiang Bai |
| 2022 | Synthetic Aperture Imaging with Events and Frames. Wei Liao, Xiang Zhang, Lei Yu, Shijie Lin, Wen Yang, Ning Qiao |
| 2022 | Synthetic Generation of Face Videos with Plethysmograph Physiology. Zhen Wang, Yunhao Ba, Pradyumna Chari, Oyku Deniz Bozkurt, Gianna Brown, Parth Patwa, Niranjan Vaddi, Laleh Jalilian, Achuta Kadambi |
| 2022 | TCTrack: Temporal Contexts for Aerial Tracking. Ziang Cao, Ziyuan Huang, Liang Pan, Shiwei Zhang, Ziwei Liu, Changhong Fu |
| 2022 | TO-FLOW: Efficient Continuous Normalizing Flows with Temporal Optimization adjoint with Moving Speed. Shian Du, Yihong Luo, Wei Chen, Jian Xu, Delu Zeng |
| 2022 | TVConv: Efficient Translation Variant Convolution for Layout-aware Visual Processing. Jierun Chen, Tianlang He, Weipeng Zhuo, Li Ma, Sangtae Ha, S.-H. Gary Chan |
| 2022 | TWIST: Two-Way Inter-label Self-Training for Semi-supervised 3D Instance Segmentation. Ruihang Chu, Xiaoqing Ye, Zhengzhe Liu, Xiao Tan, Xiaojuan Qi, Chi-Wing Fu, Jiaya Jia |
| 2022 | TableFormer: Table Structure Understanding with Transformers. Ahmed S. Nassar, Nikolaos Livathinos, Maksym Lysak, Peter W. J. Staar |
| 2022 | Talking Face Generation with Multilingual TTS. Hyoung-Kyu Song, Sang Hoon Woo, Junhyeok Lee, Seungmin Yang, Hyunjae Cho, Youseong Lee, Dongho Choi, Kang-wook Kim |
| 2022 | Target-Relevant Knowledge Preservation for Multi-Source Domain Adaptive Object Detection. Jiaxi Wu, Jiaxin Chen, Mengzhe He, Yiru Wang, Bo Li, Bingqi Ma, Weihao Gan, Wei Wu, Yali Wang, Di Huang |
| 2022 | Target-aware Dual Adversarial Learning and a Multi-scenario Multi-Modality Benchmark to Fuse Infrared and Visible for Object Detection. Jinyuan Liu, Xin Fan, Zhanbo Huang, Guanyao Wu, Risheng Liu, Wei Zhong, Zhongxuan Luo |
| 2022 | Targeted Supervised Contrastive Learning for Long-Tailed Recognition. Tianhong Li, Peng Cao, Yuan Yuan, Lijie Fan, Yuzhe Yang, Rogério Feris, Piotr Indyk, Dina Katabi |
| 2022 | Task Adaptive Parameter Sharing for Multi-Task Learning. Matthew Wallingford, Hao Li, Alessandro Achille, Avinash Ravichandran, Charless C. Fowlkes, Rahul Bhotika, Stefano Soatto |
| 2022 | Task Decoupled Framework for Reference-based Super-Resolution. Yixuan Huang, Xiaoyun Zhang, Yu Fu, Siheng Chen, Ya Zhang, Yanfeng Wang, Dazhi He |
| 2022 | Task Discrepancy Maximization for Fine-grained Few-Shot Classification. Su Been Lee, WonJun Moon, Jae-Pil Heo |
| 2022 | Task-Adaptive Negative Envision for Few-Shot Open-Set Recognition. Shiyuan Huang, Jiawei Ma, Guangxing Han, Shih-Fu Chang |
| 2022 | Task-specific Inconsistency Alignment for Domain Adaptive Object Detection. Liang Zhao, Limin Wang |
| 2022 | Task2Sim: Towards Effective Pre-training and Transfer from Synthetic Data. Samarth Mishra, Rameswar Panda, Cheng Perng Phoo, Chun-Fu Richard Chen, Leonid Karlinsky, Kate Saenko, Venkatesh Saligrama, Rogério Schmidt Feris |
| 2022 | TeachAugment: Data Augmentation Optimization Using Teacher Knowledge. Teppei Suzuki |
| 2022 | Templates for 3D Object Pose Estimation Revisited: Generalization to New Objects and Robustness to Occlusions. van Nguyen Nguyen, Yinlin Hu, Yang Xiao, Mathieu Salzmann, Vincent Lepetit |
| 2022 | Temporal Alignment Networks for Long-term Video. Tengda Han, Weidi Xie, Andrew Zisserman |
| 2022 | Temporal Complementarity-Guided Reinforcement Learning for Image-to-Video Person Re-Identification. Wei Wu, Jiawei Liu, Kecheng Zheng, Qibin Sun, Zhengjun Zha |
| 2022 | Temporal Context Matters: Enhancing Single Image Prediction with Disease Progression Representations. Aishik Konwer, Xuan Xu, Joseph Bae, Chao Chen, Prateek Prasanna |
| 2022 | Temporal Feature Alignment and Mutual Information Maximization for Video-Based Human Pose Estimation. Zhenguang Liu, Runyang Feng, Haoming Chen, Shuang Wu, Yixing Gao, Yunjun Gao, Xiang Wang |
| 2022 | TemporalUV: Capturing Loose Clothing with Temporally Coherent UV Coordinates. You Xie, Huiqi Mao, Angela Yao, Nils Thuerey |
| 2022 | Temporally Efficient Vision Transformer for Video Instance Segmentation. Shusheng Yang, Xinggang Wang, Yu Li, Yuxin Fang, Jiemin Fang, Wenyu Liu, Xun Zhao, Ying Shan |
| 2022 | Tencent-MVSE: A Large-Scale Benchmark Dataset for Multi-Modal Video Similarity Evaluation. Zhaoyang Zeng, Yongsheng Luo, Zhenhua Liu, Fengyun Rao, Dian Li, Weidong Guo, Zhen Wen |
| 2022 | Text Spotting Transformers. Xiang Zhang, Yongwen Su, Subarna Tripathi, Zhuowen Tu |
| 2022 | Text to Image Generation with Semantic-Spatial Aware GAN. Wentong Liao, Kai Hu, Michael Ying Yang, Bodo Rosenhahn |
| 2022 | Text-to-Image Synthesis based on Object-Guided Joint-Decoding Transformer. Fuxiang Wu, Liu Liu, Fusheng Hao, Fengxiang He, Jun Cheng |
| 2022 | Text2Mesh: Text-Driven Neural Stylization for Meshes. Oscar Michel, Roi Bar-On, Richard Liu, Sagie Benaim, Rana Hanocka |
| 2022 | Text2Pos: Text-to-Point-Cloud Cross-Modal Localization. Manuel Kolmet, Qunjie Zhou, Aljosa Osep, Laura Leal-Taixé |
| 2022 | Texture-based Error Analysis for Image Super-Resolution. Salma Abdel Magid, Zudi Lin, Donglai Wei, Yulun Zhang, Jinjin Gu, Hanspeter Pfister |
| 2022 | The Auto Arborist Dataset: A Large-Scale Benchmark for Multiview Urban Forest Monitoring Under Domain Shift. Sara Beery, Guanhang Wu, Trevor Edwards, Filip Pavetic, Bo Majewski, Shreyasee Mukherjee, Stanley Chan, John Morgan, Vivek Rathod, Jonathan Huang |
| 2022 | The DEVIL is in the Details: A Diagnostic Evaluation Benchmark for Video Inpainting. Ryan Szeto, Jason J. Corso |
| 2022 | The Devil Is in the Details: Window-based Attention for Image Compression. Renjie Zou, Chunfeng Song, Zhaoxiang Zhang |
| 2022 | The Devil is in the Labels: Noisy Label Correction for Robust Scene Graph Generation. Lin Li, Long Chen, Yifeng Huang, Zhimeng Zhang, Songyang Zhang, Jun Xiao |
| 2022 | The Devil is in the Margin: Margin-based Label Smoothing for Network Calibration. Bingyuan Liu, Ismail Ben Ayed, Adrian Galdran, Jose Dolz |
| 2022 | The Devil is in the Pose: Ambiguity-free 3D Rotation-invariant Learning via Pose-aware Convolution. Ronghan Chen, Yang Cong |
| 2022 | The Flag Median and FlagIRLS. Nathan Mankovich, Emily J. King, Chris Peterson, Michael Kirby |
| 2022 | The Implicit Values of A Good Hand Shake: Handheld Multi-Frame Neural Depth Refinement. Ilya Chugunov, Yuxuan Zhang, Zhihao Xia, Xuaner Zhang, Jiawen Chen, Felix Heide |
| 2022 | The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification. Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi |
| 2022 | The Neurally-Guided Shape Parser: Grammar-based Labeling of 3D Shape Regions with Approximate Inference. R. Kenny Jones, Aalia Habib, Rana Hanocka, Daniel Ritchie |
| 2022 | The Norm Must Go On: Dynamic Unsupervised Domain Adaptation by Normalization. Muhammad Jehanzeb Mirza, Jakub Micorek, Horst Possegger, Horst Bischof |
| 2022 | The Principle of Diversity: Training Stronger Vision Transformers Calls for Reducing All Levels of Redundancy. Tianlong Chen, Zhenyu Zhang, Yu Cheng, Ahmed Awadallah, Zhangyang Wang |
| 2022 | The Probabilistic Normal Epipolar Constraint for Frame- To-Frame Rotation Optimization under Uncertain Feature Positions. Dominik Muhle, Lukas Koestler, Nikolaus Demmel, Florian Bernard, Daniel Cremers |
| 2022 | The Two Dimensions of Worst-case Training and Their Integrated Effect for Out-of-domain Generalization. Zeyi Huang, Haohan Wang, Dong Huang, Yong Jae Lee, Eric P. Xing |
| 2022 | The Wanderings of Odysseus in 3D Scenes. Yan Zhang, Siyu Tang |
| 2022 | Thin-Plate Spline Motion Model for Image Animation. Jian Zhao, Hui Zhang |
| 2022 | Think Global, Act Local: Dual-scale Graph Transformer for Vision-and-Language Navigation. Shizhe Chen, Pierre-Louis Guhur, Makarand Tapaswi, Cordelia Schmid, Ivan Laptev |
| 2022 | Think Twice Before Detecting GAN-generated Fake Images from their Spectral Domain Imprints. Chengdong Dong, Ajay Kumar, Eryun Liu |
| 2022 | Threshold Matters in WSSS: Manipulating the Activation for the Robust and Accurate Segmentation Model Against Thresholds. Minhyun Lee, Dongseob Kim, Hyunjung Shim |
| 2022 | Time Lens++: Event-based Frame Interpolation with Parametric Nonlinear Flow and Multi-scale Fusion. Stepan Tulyakov, Alfredo Bochicchio, Daniel Gehrig, Stamatios Georgoulis, Yuanyou Li, Davide Scaramuzza |
| 2022 | Time3D: End-to-End Joint Monocular 3D Object Detection and Tracking for Autonomous Driving. Peixuan Li, Jieyu Jin |
| 2022 | TimeReplayer: Unlocking the Potential of Event Cameras for Video Interpolation. Weihua He, Kaichao You, Zhendong Qiao, Xu Jia, Ziyang Zhang, Wenhui Wang, Huchuan Lu, Yaoyuan Wang, Jianxing Liao |
| 2022 | TopFormer: Token Pyramid Transformer for Mobile Semantic Segmentation. Wenqiang Zhang, Zilong Huang, Guozhong Luo, Tao Chen, Xinggang Wang, Wenyu Liu, Gang Yu, Chunhua Shen |
| 2022 | Topologically-Aware Deformation Fields for Single-View 3D Reconstruction. Shivam Duggal, Deepak Pathak |
| 2022 | Topology Preserving Local Road Network Estimation from Single Onboard Camera Image. Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool |
| 2022 | Topology-Preserving Shape Reconstruction and Registration via Neural Diffeomorphic Flow. Shanlin Sun, Kun Han, Deying Kong, Hao Tang, Xiangyi Yan, Xiaohui Xie |
| 2022 | Total Variation Optimization Layers for Computer Vision. Raymond A. Yeh, Yuan-Ting Hu, Zhongzheng Ren, Alexander G. Schwing |
| 2022 | Toward Fast, Flexible, and Robust Low-Light Image Enhancement. Long Ma, Tengyu Ma, Risheng Liu, Xin Fan, Zhongxuan Luo |
| 2022 | Toward Practical Monocular Indoor Depth Estimation. Cho-Ying Wu, Jialiang Wang, Michael Hall, Ulrich Neumann, Shuochen Su |
| 2022 | Towards Accurate Facial Landmark Detection via Cascaded Transformers. Hui Li, Zidong Guo, Seon-Min Rhee, Seungju Han, Jae-Joon Han |
| 2022 | Towards An End-to-End Framework for Flow-Guided Video Inpainting. Zhen Li, Chengze Lu, Jianhua Qin, Chun-Le Guo, Ming-Ming Cheng |
| 2022 | Towards Better Plasticity-Stability Trade-off in Incremental Learning: A Simple Linear Connector. Guoliang Lin, Hanlu Chu, Hanjiang Lai |
| 2022 | Towards Better Understanding Attribution Methods. Sukrut Rao, Moritz Böhle, Bernt Schiele |
| 2022 | Towards Bidirectional Arbitrary Image Rescaling: Joint Optimization and Cycle Idempotence. Zhihong Pan, Baopu Li, Dongliang He, Mingde Yao, Wenhao Wu, Tianwei Lin, Xin Li, Errui Ding |
| 2022 | Towards Data-Free Model Stealing in a Hard Label Setting. Sunandini Sanyal, Sravanti Addepalli, R. Venkatesh Babu |
| 2022 | Towards Discovering the Effectiveness of Moderately Confident Samples for Semi-Supervised Learning. Hui Tang, Kui Jia |
| 2022 | Towards Discriminative Representation: Multi-view Trajectory Contrastive Learning for Online Multi-object Tracking. En Yu, Zhuoling Li, Shoudong Han |
| 2022 | Towards Diverse and Natural Scene-aware 3D Human Motion Synthesis. Jingbo Wang, Yu Rong, Jingyuan Liu, Sijie Yan, Dahua Lin, Bo Dai |
| 2022 | Towards Driving-Oriented Metric for Lane Detection Models. Takami Sato, Qi Alfred Chen |
| 2022 | Towards Efficient Data Free Blackbox Adversarial Attack. Jie Zhang, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Lei Zhang, Chao Wu |
| 2022 | Towards Efficient and Scalable Sharpness-Aware Minimization. Yong Liu, Siqi Mai, Xiangning Chen, Cho-Jui Hsieh, Yang You |
| 2022 | Towards End-to-End Unified Scene Text Detection and Layout Analysis. Shangbang Long, Siyang Qin, Dmitry Panteleev, Alessandro Bissacco, Yasuhisa Fujii, Michalis Raptis |
| 2022 | Towards Fewer Annotations: Active Learning via Region Impurity and Prediction Uncertainty for Domain Adaptive Semantic Segmentation. Binhui Xie, Longhui Yuan, Shuang Li, Chi Harold Liu, Xinjing Cheng |
| 2022 | Towards General Purpose Vision Systems: An End-to-End Task-Agnostic Vision-Language Architecture. Tanmay Gupta, Amita Kamath, Aniruddha Kembhavi, Derek Hoiem |
| 2022 | Towards Implicit Text-Guided 3D Shape Generation. Zhengzhe Liu, Yi Wang, Xiaojuan Qi, Chi-Wing Fu |
| 2022 | Towards Language-Free Training for Text-to-Image Generation. Yufan Zhou, Ruiyi Zhang, Changyou Chen, Chunyuan Li, Chris Tensmeyer, Tong Yu, Jiuxiang Gu, Jinhui Xu, Tong Sun |
| 2022 | Towards Layer-wise Image Vectorization. Xu Ma, Yuqian Zhou, Xingqian Xu, Bin Sun, Valerii Filev, Nikita Orlov, Yun Fu, Humphrey Shi |
| 2022 | Towards Low-Cost and Efficient Malaria Detection. Waqas Sultani, Wajahat Nawaz, Syed Javed, Muhammad Sohail Danish, Asma Saadia, Mohsen Ali |
| 2022 | Towards Multi-domain Single Image Dehazing via Test-time Training. Huan Liu, Zijun Wu, Liangyan Li, Sadaf Salehkalaibar, Jun Chen, Keyan Wang |
| 2022 | Towards Multimodal Depth Estimation from Light Fields. Titus Leistner, Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother |
| 2022 | Towards Noiseless Object Contours for Weakly Supervised Semantic Segmentation. Jing Li, Junsong Fan, Zhaoxiang Zhang |
| 2022 | Towards Practical Certifiable Patch Defense with Vision Transformer. Zhaoyu Chen, Bo Li, Jianghe Xu, Shuang Wu, Shouhong Ding, Wenqiang Zhang |
| 2022 | Towards Practical Deployment-Stage Backdoor Attack on Deep Neural Networks. Xiangyu Qi, Tinghao Xie, Ruizhe Pan, Jifeng Zhu, Yong Yang, Kai Bu |
| 2022 | Towards Principled Disentanglement for Domain Generalization. Hanlin Zhang, Yifan Zhang, Weiyang Liu, Adrian Weller, Bernhard Schölkopf, Eric P. Xing |
| 2022 | Towards Robust Adaptive Object Detection under Noisy Annotations. Xinyu Liu, Wuyang Li, Qiushi Yang, Baopu Li, Yixuan Yuan |
| 2022 | Towards Robust Rain Removal Against Adversarial Attacks: A Comprehensive Benchmark Analysis and Beyond. Yi Yu, Wenhan Yang, Yap-Peng Tan, Alex C. Kot |
| 2022 | Towards Robust Vision Transformer. Xiaofeng Mao, Gege Qi, Yuefeng Chen, Xiaodan Li, Ranjie Duan, Shaokai Ye, Yuan He, Hui Xue |
| 2022 | Towards Robust and Adaptive Motion Forecasting: A Causal Representation Perspective. Yuejiang Liu, Riccardo Cadei, Jonas Schweizer, Sherwin Bahmani, Alexandre Alahi |
| 2022 | Towards Robust and Reproducible Active Learning using Neural Networks. Prateek Munjal, Nasir Hayat, Munawar Hayat, Jamshid Sourati, Shadab Khan |
| 2022 | Towards Semi-Supervised Deep Facial Expression Recognition with An Adaptive Confidence Margin. Hangyu Li, Nannan Wang, Xi Yang, Xiaoyu Wang, Xinbo Gao |
| 2022 | Towards Total Recall in Industrial Anomaly Detection. Karsten Roth, Latha Pemula, Joaquin Zepeda, Bernhard Schölkopf, Thomas Brox, Peter V. Gehler |
| 2022 | Towards Understanding Adversarial Robustness of Optical Flow Networks. Simon Schrodi, Tonmoy Saikia, Thomas Brox |
| 2022 | Towards Unsupervised Domain Generalization. Xingxuan Zhang, Linjun Zhou, Renzhe Xu, Peng Cui, Zheyan Shen, Haoxin Liu |
| 2022 | Towards Weakly-Supervised Text Spotting using a Multi-Task Transformer. Yair Kittenplon, Inbal Lavi, Sharon Fogel, Yarin Bar, R. Manmatha, Pietro Perona |
| 2022 | Towards real-world navigation with deep differentiable planners. Shu Ishida, João F. Henriques |
| 2022 | TrackFormer: Multi-Object Tracking with Transformers. Tim Meinhardt, Alexander Kirillov, Laura Leal-Taixé, Christoph Feichtenhofer |
| 2022 | Tracking People by Predicting 3D Appearance, Location and Pose. Jathushan Rajasegaran, Georgios Pavlakos, Angjoo Kanazawa, Jitendra Malik |
| 2022 | Training High-Performance Low-Latency Spiking Neural Networks by Differentiation on Spike Representation. Qingyan Meng, Mingqing Xiao, Shen Yan, Yisen Wang, Zhouchen Lin, Zhi-Quan Luo |
| 2022 | Training Object Detectors from Scratch: An Empirical Study in the Era of Vision Transformer. Weixiang Hong, Jiangwei Lao, Wang Ren, Jian Wang, Jingdong Chen, Wei Chu |
| 2022 | Training Quantised Neural Networks with STE Variants: the Additive Noise Annealing Algorithm. Matteo Spallanzani, Gian Paolo Leonardi, Luca Benini |
| 2022 | Training-free Transformer Architecture Search. Qinqin Zhou, Kekai Sheng, Xiawu Zheng, Ke Li, Xing Sun, Yonghong Tian, Jie Chen, Rongrong Ji |
| 2022 | Trajectory Optimization for Physics-Based Reconstruction of 3d Human Pose from Monocular Video. Erik Gärtner, Mykhaylo Andriluka, Hongyi Xu, Cristian Sminchisescu |
| 2022 | TransEditor: Transformer-Based Dual-Space GAN for Highly Controllable Facial Editing. Yanbo Xu, Yueqin Yin, Liming Jiang, Qianyi Wu, Chengyao Zheng, Chen Change Loy, Bo Dai, Wayne Wu |
| 2022 | TransFusion: Robust LiDAR-Camera Fusion for 3D Object Detection with Transformers. Xuyang Bai, Zeyu Hu, Xinge Zhu, Qingqiu Huang, Yilun Chen, Hongbo Fu, Chiew-Lan Tai |
| 2022 | TransGeo: Transformer Is All You Need for Cross-view Image Geo-localization. Sijie Zhu, Mubarak Shah, Chen Chen |
| 2022 | TransMVSNet: Global Context-aware Multi-view Stereo Network with Transformers. Yikang Ding, Wentao Yuan, Qingtian Zhu, Haotian Zhang, Xiangyue Liu, Yuanjiang Wang, Xiao Liu |
| 2022 | TransMix: Attend to Mix for Vision Transformers. Jieneng Chen, Shuyang Sun, Ju He, Philip H. S. Torr, Alan L. Yuille, Song Bai |
| 2022 | TransRAC: Encoding Multi-scale Temporal Correlation with Transformers for Repetitive Action Counting. Huazhang Hu, Sixun Dong, Yiqun Zhao, Dongze Lian, Zhengxin Li, Shenghua Gao |
| 2022 | TransRank: Self-supervised Video Representation Learning via Ranking-based Transformation Recognition. Haodong Duan, Nanxuan Zhao, Kai Chen, Dahua Lin |
| 2022 | TransVPR: Transformer-Based Place Recognition with Multi-Level Attention Aggregation. Ruotong Wang, Yanqing Shen, Weiliang Zuo, Sanping Zhou, Nanning Zheng |
| 2022 | TransWeather: Transformer-based Restoration of Images Degraded by Adverse Weather Conditions. Jeya Maria Jose Valanarasu, Rajeev Yasarla, Vishal M. Patel |
| 2022 | Transferability Estimation using Bhattacharyya Class Separability. Michal Pándy, Andrea Agostinelli, Jasper R. R. Uijlings, Vittorio Ferrari, Thomas Mensink |
| 2022 | Transferability Metrics for Selecting Source Model Ensembles. Andrea Agostinelli, Jasper R. R. Uijlings, Thomas Mensink, Vittorio Ferrari |
| 2022 | TransforMatcher: Match-to-Match Attention for Semantic Correspondence. Seungwook Kim, Juhong Min, Minsu Cho |
| 2022 | Transform-Retrieve-Generate: Natural Language-Centric Outside-Knowledge Visual Question Answering. Feng Gao, Qing Ping, Govind Thattai, Aishwarya N. Reganti, Ying Nian Wu, Prem Natarajan |
| 2022 | Transformer Based Line Segment Classifier with Image Context for Real-Time Vanishing Point Detection in Manhattan World. Xin Tong, Xianghua Ying, Yongjie Shi, Ruibin Wang, Jinfa Yang |
| 2022 | Transformer Tracking with Cyclic Shifting Window Attention. Zikai Song, Junqing Yu, Yi-Ping Phoebe Chen, Wei Yang |
| 2022 | Transformer-empowered Multi-scale Contextual Matching and Aggregation for Multi-contrast MRI Super-resolution. Guangyuan Li, Jun Lv, Yapeng Tian, Qi Dou, Chengyan Wang, Chenliang Xu, Jing Qin |
| 2022 | Transforming Model Prediction for Tracking. Christoph Mayer, Martin Danelljan, Goutam Bhat, Matthieu Paul, Danda Pani Paudel, Fisher Yu, Luc Van Gool |
| 2022 | Tree Energy Loss: Towards Sparsely Annotated Semantic Segmentation. Zhiyuan Liang, Tiancai Wang, Xiangyu Zhang, Jian Sun, Jianbing Shen |
| 2022 | Trustworthy Long-Tailed Classification. Bolian Li, Zongbo Han, Haining Li, Huazhu Fu, Changqing Zhang |
| 2022 | TubeDETR: Spatio-Temporal Video Grounding with Transformers. Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid |
| 2022 | TubeFormer-DeepLab: Video Mask Transformer. Dahun Kim, Jun Xie, Huiyu Wang, Siyuan Qiao, Qihang Yu, Hong-Seok Kim, Hartwig Adam, In So Kweon, Liang-Chieh Chen |
| 2022 | TubeR: Tubelet Transformer for Video Action Detection. Jiaojiao Zhao, Yanyi Zhang, Xinyu Li, Hao Chen, Bing Shuai, Mingze Xu, Chunhui Liu, Kaustav Kundu, Yuanjun Xiong, Davide Modolo, Ivan Marsic, Cees G. M. Snoek, Joseph Tighe |
| 2022 | Two Coupled Rejection Metrics Can Tell Adversarial Examples Apart. Tianyu Pang, Huishuai Zhang, Di He, Yinpeng Dong, Hang Su, Wei Chen, Jun Zhu, Tie-Yan Liu |
| 2022 | UBnormal: New Benchmark for Supervised Open-Set Video Anomaly Detection. Andra Acsintoae, Andrei Florescu, Mariana-Iuliana Georgescu, Tudor Mare, Paul Sumedrea, Radu Tudor Ionescu, Fahad Shahbaz Khan, Mubarak Shah |
| 2022 | UBoCo: Unsupervised Boundary Contrastive Learning for Generic Event Boundary Detection. Hyolim Kang, Jinwoo Kim, Taehyun Kim, Seon Joo Kim |
| 2022 | UCC: Uncertainty guided Cross-head Cotraining for Semi-Supervised Semantic Segmentation. Jiashuo Fan, Bin Gao, Huan Jin, Lihui Jiang |
| 2022 | UDA-COPE: Unsupervised Domain Adaptation for Category-level Object Pose Estimation. Taeyeop Lee, Byeong-Uk Lee, Inkyu Shin, Jaesung Choe, Ukcheol Shin, In So Kweon, Kuk-Jin Yoon |
| 2022 | UKPGAN: A General Self-Supervised Keypoint Detector. Yang You, Wenhai Liu, Yanjie Ze, Yong-Lu Li, Weiming Wang, Cewu Lu |
| 2022 | UMT: Unified Multi-modal Transformers for Joint Video Moment Retrieval and Highlight Detection. Ye Liu, Siyuan Li, Yang Wu, Chang Wen Chen, Ying Shan, Xiaohu Qie |
| 2022 | UNICON: Combating Label Noise Through Uniform Selection and Contrastive Learning. Nazmul Karim, Mamshad Nayeem Rizve, Nazanin Rahnavard, Ajmal Mian, Mubarak Shah |
| 2022 | UNIST: Unpaired Neural Implicit Shape Translation Network. Qimin Chen, Johannes Merz, Aditya Sanghi, Hooman Shayani, Ali Mahdavi-Amiri, Hao Zhang |
| 2022 | URetinex-Net: Retinex-based Deep Unfolding Network for Low-light Image Enhancement. Wenhui Wu, Jian Weng, Pingping Zhang, Xu Wang, Wenhan Yang, Jianmin Jiang |
| 2022 | UTC: A Unified Transformer with Inter-Task Contrastive Learning for Visual Dialog. Cheng Chen, Zhenshan Tan, Qingrong Cheng, Xin Jiang, Qun Liu, Yudong Zhu, Xiaodong Gu |
| 2022 | Uformer: A General U-Shaped Transformer for Image Restoration. Zhendong Wang, Xiaodong Cun, Jianmin Bao, Wengang Zhou, Jianzhuang Liu, Houqiang Li |
| 2022 | Unbiased Subclass Regularization for Semi-Supervised Semantic Segmentation. Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu |
| 2022 | Unbiased Teacher v2: Semi-supervised Object Detection for Anchor-free and Anchor-based Detectors. Yen-Cheng Liu, Chih-Yao Ma, Zsolt Kira |
| 2022 | Uncertainty-Aware Adaptation for Self-Supervised 3D Human Pose Estimation. Jogendra Nath Kundu, Siddharth Seth, Pradyumna YM, Varun Jampani, Anirban Chakraborty, R. Venkatesh Babu |
| 2022 | Uncertainty-Aware Deep Multi-View Photometric Stereo. Berk Kaya, Suryansh Kumar, Carlos Eduardo Porto de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2022 | Uncertainty-Guided Probabilistic Transformer for Complex Action Recognition. Hongji Guo, Hanjing Wang, Qiang Ji |
| 2022 | Understanding 3D Object Articulation in Internet Videos. Shengyi Qian, Linyi Jin, Chris Rockwell, Siyi Chen, David F. Fouhey |
| 2022 | Understanding Uncertainty Maps in Vision with Statistical Testing. Jurijs Nazarovs, Zhichun Huang, Songwong Tasneeyapant, Rudrasis Chakraborty, Vikas Singh |
| 2022 | Understanding and Increasing Efficiency of Frank-Wolfe Adversarial Training. Theodoros Tsiligkaridis, Jay Roberts |
| 2022 | Undoing the Damage of Label Shift for Cross-domain Semantic Segmentation. Yahao Liu, Jinhong Deng, Jiale Tao, Tong Chu, Lixin Duan, Wen Li |
| 2022 | Uni-Perceiver: Pre-training Unified Architecture for Generic Perception for Zero-shot and Few-shot Tasks. Xizhou Zhu, Jinguo Zhu, Hao Li, Xiaoshi Wu, Hongsheng Li, Xiaohua Wang, Jifeng Dai |
| 2022 | Uni6D: A Unified CNN Framework without Projection Breakdown for 6D Pose Estimation. Xiaoke Jiang, Donghai Li, Hao Chen, Ye Zheng, Rui Zhao, Liwei Wu |
| 2022 | UniCoRN: A Unified Conditional Image Repainting Network. Jimeng Sun, Shuchen Weng, Zheng Chang, Si Li, Boxin Shi |
| 2022 | UniVIP: A Unified Framework for Self-Supervised Visual Pre-training. Zhaowen Li, Yousong Zhu, Fan Yang, Wei Li, Chaoyang Zhao, Yingying Chen, Zhiyang Chen, Jiahao Xie, Liwei Wu, Rui Zhao, Ming Tang, Jinqiao Wang |
| 2022 | Unified Contrastive Learning in Image-Text-Label Space. Jianwei Yang, Chunyuan Li, Pengchuan Zhang, Bin Xiao, Ce Liu, Lu Yuan, Jianfeng Gao |
| 2022 | Unified Multivariate Gaussian Mixture for Efficient Neural Image Compression. Xiaosu Zhu, Jingkuan Song, Lianli Gao, Feng Zheng, Heng Tao Shen |
| 2022 | Unified Transformer Tracker for Object Tracking. Fan Ma, Mike Zheng Shou, Linchao Zhu, Haoqi Fan, Yilei Xu, Yi Yang, Zhicheng Yan |
| 2022 | Uniform Subdivision of Omnidirectional Camera Space for Efficient Spherical Stereo Matching. Donghun Kang, Hyeonjoong Jang, Jungeon Lee, Chong-Min Kyung, Min H. Kim |
| 2022 | Unifying Motion Deblurring and Frame Interpolation with Events. Xiang Zhang, Lei Yu |
| 2022 | Unifying Panoptic Segmentation for Autonomous Driving. Oliver Zendel, Matthias Schörghuber, Bernhard Rainer, Markus Murschitz, Csaba Beleznai |
| 2022 | Unimodal-Concentrated Loss: Fully Adaptive Label Distribution Learning for Ordinal Regression. Qiang Li, Jingjing Wang, Zhaoliang Yao, Yachun Li, Pengju Yang, Jingwei Yan, Chunmao Wang, Shiliang Pu |
| 2022 | Universal Photometric Stereo Network using Global Lighting Contexts. Satoshi Ikehata |
| 2022 | Unknown-Aware Object Detection: Learning What You Don't Know from Videos in the Wild. Xuefeng Du, Xin Wang, Gabriel Gozum, Yixuan Li |
| 2022 | Unleashing Potential of Unsupervised Pre-Training with Intra-Identity Regularization for Person Re-Identification. Zizheng Yang, Xin Jin, Kecheng Zheng, Feng Zhao |
| 2022 | Unpaired Cartoon Image Synthesis via Gated Cycle Mapping. Yifang Men, Yuan Yao, Miaomiao Cui, Zhouhui Lian, Xuansong Xie, Xian-Sheng Hua |
| 2022 | Unpaired Deep Image Deraining Using Dual Contrastive Learning. Xiang Chen, Jinshan Pan, Kui Jiang, Yufeng Li, Yufeng Huang, Caihua Kong, Longgang Dai, Zhentao Fan |
| 2022 | Unseen Classes at a Later Time? No Problem. Hari Chandana Kuchibhotla, Sumitra S. Malagi, Shivam Chandhok, Vineeth N. Balasubramanian |
| 2022 | Unsupervised Action Segmentation by Joint Representation Learning and Online Clustering. Sateesh Kumar, Sanjay Haresh, Awais Ahmed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran |
| 2022 | Unsupervised Deraining: Where Contrastive Learning Meets Self-similarity. Yuntong Ye, Changfeng Yu, Yi Chang, Lin Zhu, Xi-Le Zhao, Luxin Yan, Yonghong Tian |
| 2022 | Unsupervised Domain Adaptation for Nighttime Aerial Tracking. Junjie Ye, Changhong Fu, Guangze Zheng, Danda Pani Paudel, Guang Chen |
| 2022 | Unsupervised Domain Generalization by Learning a Bridge Across Domains. Sivan Harary, Eli Schwartz, Assaf Arbelle, Peter W. J. Staar, Shady Abu-Hussein, Elad Amrani, Roei Herzig, Amit Alfassy, Raja Giryes, Hilde Kuehne, Dina Katabi, Kate Saenko, Rogério Feris, Leonid Karlinsky |
| 2022 | Unsupervised Hierarchical Semantic Segmentation with Multiview Cosegmentation and Clustering Transformers. Tsung-Wei Ke, Jyh-Jing Hwang, Yunhui Guo, Xudong Wang, Stella X. Yu |
| 2022 | Unsupervised Homography Estimation with Coplanarity-Aware GAN. Mingbo Hong, Yuhang Lu, Nianjin Ye, Chunyu Lin, Qijun Zhao, Shuaicheng Liu |
| 2022 | Unsupervised Image-to-Image Translation with Generative Prior. Shuai Yang, Liming Jiang, Ziwei Liu, Chen Change Loy |
| 2022 | Unsupervised Learning of Accurate Siamese Tracking. Qiuhong Shen, Lei Qiao, Jinyang Guo, Peixia Li, Xin Li, Bo Li, Weitao Feng, Weihao Gan, Wei Wu, Wanli Ouyang |
| 2022 | Unsupervised Learning of Debiased Representations with Pseudo-Attributes. Seonguk Seo, Joon-Young Lee, Bohyung Han |
| 2022 | Unsupervised Pre-training for Temporal Action Localization Tasks. Can Zhang, Tianyu Yang, Junwu Weng, Meng Cao, Jue Wang, Yuexian Zou |
| 2022 | Unsupervised Representation Learning for Binary Networks by Joint Classifier Learning. Dahyun Kim, Jonghyun Choi |
| 2022 | Unsupervised Vision-Language Parsing: Seamlessly Bridging Visual Scene Graphs with Language Structures via Dependency Relationships. Chao Lou, Wenjuan Han, Yuhuan Lin, Zilong Zheng |
| 2022 | Unsupervised Vision-and-Language Pretraining via Retrieval-based Multi-Granular Alignment. Mingyang Zhou, Licheng Yu, Amanpreet Singh, Mengjiao Wang, Zhou Yu, Ning Zhang |
| 2022 | Unsupervised Visual Representation Learning by Online Constrained K-Means. Qi Qian, Yuanhong Xu, Juhua Hu, Hao Li, Rong Jin |
| 2022 | UnweaveNet: Unweaving Activity Stories. Will Price, Carl Vondrick, Dima Damen |
| 2022 | Upright-Net: Learning Upright Orientation for 3D Point Cloud. Xufang Pang, Feng Li, Ning Ding, Xiaopin Zhong |
| 2022 | Urban Radiance Fields. Konstantinos Rematas, Andrew Liu, Pratul P. Srinivasan, Jonathan T. Barron, Andrea Tagliasacchi, Thomas A. Funkhouser, Vittorio Ferrari |
| 2022 | Use All The Labels: A Hierarchical Multi-Label Contrastive Learning Framework. Shu Zhang, Ran Xu, Caiming Xiong, Chetan Ramaiah |
| 2022 | Using 3D Topological Connectivity for Ghost Particle Reduction in Flow Reconstruction. Christina Tsalicoglou, Thomas Rösgen |
| 2022 | V-Doc : Visual questions answers with Documents. Yihao Ding, Zhe Huang, Runlin Wang, Yanhang Zhang, Xianru Chen, Yuzhong Ma, Hyunsuk Chung, Soyeon Caren Han |
| 2022 | V2C: Visual Voice Cloning. Qi Chen, Mingkui Tan, Yuankai Qi, Jiaqiu Zhou, Yuanqing Li, Qi Wu |
| 2022 | VALHALLA: Visual Hallucination for Machine Translation. Yi Li, Rameswar Panda, Yoon Kim, Chun-Fu Richard Chen, Rogério Feris, David D. Cox, Nuno Vasconcelos |
| 2022 | VGSE: Visually-Grounded Semantic Embeddings for Zero-Shot Learning. Wenjia Xu, Yongqin Xian, Jiuniu Wang, Bernt Schiele, Zeynep Akata |
| 2022 | VISOLO: Grid-Based Space-Time Aggregation for Efficient Online Video Instance Segmentation. Su Ho Han, Sukjun Hwang, Seoung Wug Oh, Yeonchool Park, Hyunwoo Kim, Min-Jung Kim, Seon Joo Kim |
| 2022 | VISTA: Boosting 3D Object Detection via Dual Cross-VIew SpaTial Attention. Shengheng Deng, Zhihao Liang, Lin Sun, Kui Jia |
| 2022 | VIsCUIT: Visual Auditor for Bias in CNN Image Classifier. Seongmin Lee, Judy Hoffman, Zijie J. Wang, Duen Horng Chau |
| 2022 | VL-ADAPTER: Parameter-Efficient Transfer Learning for Vision-and-Language Tasks. Yi-Lin Sung, Jaemin Cho, Mohit Bansal |
| 2022 | VL-InterpreT: An Interactive Visualization Tool for Interpreting Vision-Language Transformers. Estelle Aflalo, Meng Du, Shao-Yen Tseng, Yongfei Liu, Chenfei Wu, Nan Duan, Vasudev Lal |
| 2022 | VRDFormer: End-to-End Video Visual Relation Detection with Transformers. Sipeng Zheng, Shizhe Chen, Qin Jin |
| 2022 | Vector Quantized Diffusion Model for Text-to-Image Synthesis. Shuyang Gu, Dong Chen, Jianmin Bao, Fang Wen, Bo Zhang, Dongdong Chen, Lu Yuan, Baining Guo |
| 2022 | Vehicle trajectory prediction works, but not everywhere. Mohammadhossein Bahari, Saeed Saadatnejad, Ahmad Rahimi, Mohammad Shahverdikondori, Amir Hossein Shahidzadeh, Seyed-Mohsen Moosavi-Dezfooli, Alexandre Alahi |
| 2022 | Versatile Multi-Modal Pre-Training for Human-Centric Perception. Fangzhou Hong, Liang Pan, Zhongang Cai, Ziwei Liu |
| 2022 | ViM: Out-Of-Distribution with Virtual-logit Matching. Haoqi Wang, Zhizhong Li, Litong Feng, Wayne Zhang |
| 2022 | ViSTA: Vision and Scene Text Aggregation for Cross-Modal Retrieval. Mengjun Cheng, Yipeng Sun, Longchao Wang, Xiongwei Zhu, Kun Yao, Jie Chen, Guoli Song, Junyu Han, Jingtuo Liu, Errui Ding, Jingdong Wang |
| 2022 | Video Demoiréing with Relation-Based Temporal Consistency. Peng Dai, Xin Yu, Lan Ma, Baoheng Zhang, Jia Li, Wenbo Li, Jiajun Shen, Xiaojuan Qi |
| 2022 | Video Frame Interpolation Transformer. Zhihao Shi, Xiangyu Xu, Xiaohong Liu, Jun Chen, Ming-Hsuan Yang |
| 2022 | Video Frame Interpolation with Transformer. Liying Lu, Ruizheng Wu, Huaijia Lin, Jiangbo Lu, Jiaya Jia |
| 2022 | Video K-Net: A Simple, Strong, and Unified Baseline for Video Segmentation. Xiangtai Li, Wenwei Zhang, Jiangmiao Pang, Kai Chen, Guangliang Cheng, Yunhai Tong, Chen Change Loy |
| 2022 | Video Shadow Detection via Spatio-Temporal Interpolation Consistency Training. Xiao Lu, Yihong Cao, Sheng Liu, Chengjiang Long, Zipei Chen, Xuanyu Zhou, Yimin Yang, Chunxia Xiao |
| 2022 | Video Swin Transformer. Ze Liu, Jia Ning, Yue Cao, Yixuan Wei, Zheng Zhang, Stephen Lin, Han Hu |
| 2022 | Video-Text Representation Learning via Differentiable Weak Temporal Alignment. Dohwan Ko, Joonmyung Choi, Juyeon Ko, Shinyeong Noh, Kyoung-Woon On, Eun-Sol Kim, Hyunwoo J. Kim |
| 2022 | VideoINR: Learning Video Implicit Neural Representation for Continuous Space-Time Super-Resolution. Zeyuan Chen, Yinbo Chen, Jingwen Liu, Xingqian Xu, Vidit Goel, Zhangyang Wang, Humphrey Shi, Xiaolong Wang |
| 2022 | Virtual Correspondence: Humans as a Cue for Extreme-View Geometry. Wei-Chiu Ma, Anqi Joyce Yang, Shenlong Wang, Raquel Urtasun, Antonio Torralba |
| 2022 | Virtual Elastic Objects. Hsiao-Yu Chen, Edith Tretschk, Tuur Stuyck, Petr Kadlecek, Ladislav Kavan, Etienne Vouga, Christoph Lassner |
| 2022 | Visible-Thermal UAV Tracking: A Large-Scale Benchmark and New Baseline. Pengyu Zhang, Jie Zhao, Dong Wang, Huchuan Lu, Xiang Ruan |
| 2022 | Vision Transformer Slimming: Multi-Dimension Searching in Continuous Optimization Space. Arnav Chavan, Zhiqiang Shen, Zhuang Liu, Zechun Liu, Kwang-Ting Cheng, Eric P. Xing |
| 2022 | Vision Transformer with Deformable Attention. Zhuofan Xia, Xuran Pan, Shiji Song, Li Erran Li, Gao Huang |
| 2022 | Vision-Language Pre-Training for Boosting Scene Text Detectors. Sibo Song, Jianqiang Wan, Zhibo Yang, Jun Tang, Wenqing Cheng, Xiang Bai, Cong Yao |
| 2022 | Vision-Language Pre-Training with Triple Contrastive Learning. Jinyu Yang, Jiali Duan, Son Tran, Yi Xu, Sampath Chanda, Liqun Chen, Belinda Zeng, Trishul Chilimbi, Junzhou Huang |
| 2022 | Visual Abductive Reasoning. Chen Liang, Wenguan Wang, Tianfei Zhou, Yi Yang |
| 2022 | Visual Acoustic Matching. Changan Chen, Ruohan Gao, Paul Calamia, Kristen Grauman |
| 2022 | Visual Vibration Tomography: Estimating Interior Material Properties from Monocular Video. Berthy T. Feng, Alexander C. Ogren, Chiara Daraio, Katherine L. Bouman |
| 2022 | VisualGPT: Data-efficient Adaptation of Pretrained Language Models for Image Captioning. Jun Chen, Han Guo, Kai Yi, Boyang Li, Mohamed Elhoseiny |
| 2022 | VisualHow: Multimodal Problem Solving. Jinhui Yang, Xianyu Chen, Ming Jiang, Shi Chen, Louis Wang, Qi Zhao |
| 2022 | Volumetric Bundle Adjustment for Online Photorealistic Scene Capture. Ronald Clark |
| 2022 | Vox2Cortex: Fast Explicit Reconstruction of Cortical Surfaces from 3D MRI Scans with Geometric Deep Neural Networks. Fabian Bongratz, Anne-Marie Rickmann, Sebastian Pölsterl, Christian Wachinger |
| 2022 | Voxel Field Fusion for 3D Object Detection. Yanwei Li, Xiaojuan Qi, Yukang Chen, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia |
| 2022 | Voxel Set Transformer: A Set-to-Set Approach to 3D Object Detection from Point Clouds. Chenhang He, Ruihuang Li, Shuai Li, Lei Zhang |
| 2022 | WALT: Watch And Learn 2D amodal representation from Time-lapse imagery. N. Dinesh Reddy, Robert Tamburo, Srinivasa G. Narasimhan |
| 2022 | WarpingGAN: Warping Multiple Uniform Priors for Adversarial 3D Point Cloud Generation. Yingzhi Tang, Yue Qian, Qijian Zhang, Yiming Zeng, Junhui Hou, Xuefei Zhe |
| 2022 | Watch It Move: Unsupervised Discovery of 3D Joints for Re-Posing of Articulated Objects. Atsuhiro Noguchi, Umar Iqbal, Jonathan Tremblay, Tatsuya Harada, Orazio Gallo |
| 2022 | Wavelet Knowledge Distillation: Towards Efficient Image-to-Image Translation. Linfeng Zhang, Xin Chen, Xiaobing Tu, Pengfei Wan, Ning Xu, Kaisheng Ma |
| 2022 | Weakly But Deeply Supervised Occlusion-Reasoned Parametric Road Layouts. Buyu Liu, Bingbing Zhuang, Manmohan Chandraker |
| 2022 | Weakly Paired Associative Learning for Sound and Image Representations via Bimodal Associative Memory. Sangmin Lee, Hyung-Il Kim, Yong Man Ro |
| 2022 | Weakly Supervised High-Fidelity Clothing Model Generation. Ruili Feng, Cheng Ma, Chengji Shen, Xin Gao, Zhenjiang Liu, Xiaobo Li, Kairi Ou, Deli Zhao, Zheng-Jun Zha |
| 2022 | Weakly Supervised Object Localization as Domain Adaption. Lei Zhu, Qi She, Qian Chen, Yunfei You, Boyu Wang, Yanye Lu |
| 2022 | Weakly Supervised Rotation-Invariant Aerial Object Detection Network. Xiaoxu Feng, Xiwen Yao, Gong Cheng, Junwei Han |
| 2022 | Weakly Supervised Segmentation on Outdoor 4D point clouds with Temporal Matching and Spatial Graph Propagation. Hanyu Shi, Jiacheng Wei, Ruibo Li, Fayao Liu, Guosheng Lin |
| 2022 | Weakly Supervised Semantic Segmentation by Pixel-to-Prototype Contrast. Ye Du, Zehua Fu, Qingjie Liu, Yunhong Wang |
| 2022 | Weakly Supervised Semantic Segmentation using Out-of-Distribution Data. Jungbeom Lee, Seong Joon Oh, Sangdoo Yun, Junsuk Choe, Eunji Kim, Sungroh Yoon |
| 2022 | Weakly Supervised Temporal Action Localization via Representative Snippet Knowledge Propagation. Linjiang Huang, Liang Wang, Hongsheng Li |
| 2022 | Weakly Supervised Temporal Sentence Grounding with Gaussian-based Contrastive Proposal Learning. Minghang Zheng, Yanjie Huang, Qingchao Chen, Yuxin Peng, Yang Liu |
| 2022 | Weakly-Supervised Generation and Grounding of Visual Descriptions with Conditional Generative Models. Effrosyni Mavroudi, René Vidal |
| 2022 | Weakly-Supervised Online Action Segmentation in Multi-View Instructional Videos. Reza Ghoddoosian, Isht Dwivedi, Nakul Agarwal, Chiho Choi, Behzad Dariush |
| 2022 | Weakly-supervised Action Transition Learning for Stochastic Human Motion Prediction. Wei Mao, Miaomiao Liu, Mathieu Salzmann |
| 2022 | Weakly-supervised Metric Learning with Cross-Module Communications for the Classification of Anterior Chamber Angle Images. Jingqi Huang, Yue Ning, Dong Nie, Linan Guan, Xiping Jia |
| 2022 | WebQA: Multihop and Multimodal QA. Yingshan Chang, Guihong Cao, Mridu Narang, Jianfeng Gao, Hisami Suzuki, Yonatan Bisk |
| 2022 | What Makes Transfer Learning Work for Medical Images: Feature Reuse & Other Factors. Christos Matsoukas, Johan Fredin Haslum, Moein Sorkhei, Magnus Söderberg, Kevin Smith |
| 2022 | What Matters For Meta-Learning Vision Regression Tasks? Ning Gao, Hanna Ziesche, Ngo Anh Vien, Michael Volpp, Gerhard Neumann |
| 2022 | What do navigation agents learn about their environment? Kshitij Dwivedi, Gemma Roig, Aniruddha Kembhavi, Roozbeh Mottaghi |
| 2022 | What to look at and where: Semantic and Spatial Refined Transformer for detecting human-object interactions. A. S. M. Iftekhar, Hao Chen, Kaustav Kundu, Xinyu Li, Joseph Tighe, Davide Modolo |
| 2022 | What's in your hands? 3D Reconstruction of Generic Objects in Hands. Yufei Ye, Abhinav Gupta, Shubham Tulsiani |
| 2022 | When Does Contrastive Visual Representation Learning Work? Elijah Cole, Xuan Yang, Kimberly Wilber, Oisin Mac Aodha, Serge J. Belongie |
| 2022 | When to Prune? A Policy towards Early Structural Pruning. Maying Shen, Pavlo Molchanov, Hongxu Yin, José M. Álvarez |
| 2022 | Which Model to Transfer? Finding the Needle in the Growing Haystack. Cédric Renggli, André Susano Pinto, Luka Rimanic, Joan Puigcerver, Carlos Riquelme, Ce Zhang, Mario Lucic |
| 2022 | Which images to label for few-shot medical landmark detection? Quan Quan, Qingsong Yao, Jun Li, S. Kevin Zhou |
| 2022 | Whose Hands are These? Hand Detection and Hand-Body Association in the Wild. Supreeth Narasimhaswamy, Thanh Nguyen, Mingzhen Huang, Minh Hoai |
| 2022 | Whose Track Is It Anyway? Improving Robustness to Tracking Errors with Affinity-based Trajectory Prediction. Xinshuo Weng, Boris Ivanovic, Kris Kitani, Marco Pavone |
| 2022 | Why Discard if You can Recycle?: A Recycling Max Pooling Module for 3D Point Cloud Analysis. Jiajing Chen, Burak Kakillioglu, Huantao Ren, Senem Velipasalar |
| 2022 | WildNet: Learning Domain Generalized Semantic Segmentation from the Wild. Suhyeon Lee, Hongje Seong, Seongwon Lee, Euntai Kim |
| 2022 | Winoground: Probing Vision and Language Models for Visio-Linguistic Compositionality. Tristan Thrush, Ryan Jiang, Max Bartolo, Amanpreet Singh, Adina Williams, Douwe Kiela, Candace Ross |
| 2022 | Wnet: Audio-Guided Video Object Segmentation via Wavelet-Based Cross- Modal Denoising Networks. Wenwen Pan, Haonan Shi, Zhou Zhao, Jieming Zhu, Xiuqiang He, Zhigeng Pan, Lianli Gao, Jun Yu, Fei Wu, Qi Tian |
| 2022 | X -Trans2Cap: Cross-Modal Knowledge Transfer using Transformer for 3D Dense Captioning. Zhihao Yuan, Xu Yan, Yinghong Liao, Yao Guo, Guanbin Li, Shuguang Cui, Zhen Li |
| 2022 | X-Pool: Cross-Modal Language-Video Attention for Text-Video Retrieval. Satya Krishna Gorti, Noël Vouitsis, Junwei Ma, Keyvan Golestan, Maksims Volkovs, Animesh Garg, Guangwei Yu |
| 2022 | XMP-Font: Self-Supervised Cross-Modality Pre-training for Few-Shot Font Generation. Wei Liu, Fangyue Liu, Fei Ding, Qian He, Zili Yi |
| 2022 | XYDeblur: Divide and Conquer for Single Image Deblurring. Seo-Won Ji, Jeongmin Lee, Seung-Wook Kim, Jun-Pyo Hong, Seung-Jin Baek, Seung-Won Jung, Sung-Jea Ko |
| 2022 | XYLayoutLM: Towards Layout-Aware Multimodal Networks For Visually-Rich Document Understanding. Zhangxuan Gu, Changhua Meng, Ke Wang, Jun Lan, Weiqiang Wang, Ming Gu, Liqing Zhang |
| 2022 | YouMVOS: An Actor-centric Multi-shot Video Object Segmentation Dataset. Donglai Wei, Siddhant Kharbanda, Sarthak Arora, Roshan Roy, Nishant Jain, Akash Palrecha, Tanav Shah, Shray Mathur, Ritik Mathur, Abhijay Kemkar, Anirudh Srinivasan Chakravarthy, Zudi Lin, Won-Dong Jang, Yansong Tang, Song Bai, James Tompkin, Philip H. S. Torr, Hanspeter Pfister |
| 2022 | ZZ-Net: A Universal Rotation Equivariant Architecture for 2D Point Clouds. Georg Bökman, Fredrik Kahl, Axel Flinth |
| 2022 | ZebraPose: Coarse to Fine Surface Encoding for 6DoF Object Pose Estimation. Yongzhi Su, Mahdi Saleh, Torben Fetzer, Jason R. Rambach, Nassir Navab, Benjamin Busam, Didier Stricker, Federico Tombari |
| 2022 | Zero Experience Required: Plug & Play Modular Transfer Learning for Semantic Visual Navigation. Ziad Al-Halah, Santhosh K. Ramakrishnan, Kristen Grauman |
| 2022 | Zero-Query Transfer Attacks on Context-Aware Object Detectors. Zikui Cai, Shantanu Rane, Alejandro E. Brito, Chengyu Song, Srikanth V. Krishnamurthy, Amit K. Roy-Chowdhury, M. Salman Asif |
| 2022 | Zero-Shot Text-Guided Object Generation with Dream Fields. Ajay Jain, Ben Mildenhall, Jonathan T. Barron, Pieter Abbeel, Ben Poole |
| 2022 | ZeroCap: Zero-Shot Image-to-Text Generation for Visual-Semantic Arithmetic. Yoad Tewel, Yoav Shalev, Idan Schwartz, Lior Wolf |
| 2022 | ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes. Dina Bashkirova, Mohamed Abdelfattah, Ziliang Zhu, James Akl, Fadi M. Alladkani, Ping Hu, Vitaly Ablavsky, Berk Çalli, Sarah Adel Bargal, Kate Saenko |
| 2022 | Zoom In and Out: A Mixed-scale Triplet Network for Camouflaged Object Detection. Youwei Pang, Xiaoqi Zhao, Tian-Zhu Xiang, Lihe Zhang, Huchuan Lu |
| 2022 | gDNA: Towards Generative Detailed Neural Avatars. Xu Chen, Tianjian Jiang, Jie Song, Jinlong Yang, Michael J. Black, Andreas Geiger, Otmar Hilliges |
| 2022 | iFS-RCNN: An Incremental Few-shot Instance Segmenter. Khoi Nguyen, Sinisa Todorovic |
| 2022 | iPLAN: Interactive and Procedural Layout Planning. Feixiang He, Yanlong Huang, He Wang |
| 2022 | vCLIMB: A Novel Video Class Incremental Learning Benchmark. Andrés Villa, Kumail Alhamoud, Victor Escorcia, Fabian Caba Heilbron, Juan León Alcázar, Bernard Ghanem |
| 2022 | β-DARTS: Beta-Decay Regularization for Differentiable Architecture Search. Peng Ye, Baopu Li, Yikang Li, Tao Chen, Jiayuan Fan, Wanli Ouyang |