| 2021 | (Just) A Spoonful of Refinements Helps the Registration Error Go Down. Sérgio Agostinho, Aljosa Osep, Alessio Del Bue, Laura Leal-Taixé |
| 2021 | 2021 IEEE/CVF International Conference on Computer Vision, ICCV 2021, Montreal, QC, Canada, October 10-17, 2021 |
| 2021 | 3D Building Reconstruction from Monocular Remote Sensing Images. Weijia Li, Lingxuan Meng, Jinwang Wang, Conghui He, Gui-Song Xia, Dahua Lin |
| 2021 | 3D Human Pose Estimation with Spatial and Temporal Transformers. Ce Zheng, Sijie Zhu, Matías Mendieta, Taojiannan Yang, Chen Chen, Zhengming Ding |
| 2021 | 3D Human Texture Estimation from a Single Image with Transformers. Xiangyu Xu, Chen Change Loy |
| 2021 | 3D Local Convolutional Neural Networks for Gait Recognition. Zhen Huang, Dixiu Xue, Xu Shen, Xinmei Tian, Houqiang Li, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | 3D Shape Generation and Completion through Point-Voxel Diffusion. Linqi Zhou, Yilun Du, Jiajun Wu |
| 2021 | 3D-FRONT: 3D Furnished Rooms with layOuts and semaNTics. Huan Fu, Bowen Cai, Lin Gao, Lingxiao Zhang, Jiaming Wang, Cao Li, Qixun Zeng, Chengyue Sun, Rongfei Jia, Binqiang Zhao, Hao Zhang |
| 2021 | 3DIAS: 3D Shape Reconstruction with Implicit Algebraic Surfaces. Mohsen Yavartanoo, Jaeyoung Chung, Reyhaneh Neshatavar, Kyoung Mu Lee |
| 2021 | 3DStyleNet: Creating 3D Shapes with Geometric and Texture Style Variations. Kangxue Yin, Jun Gao, Maria Shugrina, Sameh Khamis, Sanja Fidler |
| 2021 | 3DVG-Transformer: Relation Modeling for Visual Grounding on Point Clouds. Lichen Zhao, Daigang Cai, Lu Sheng, Dong Xu |
| 2021 | 3DeepCT: Learning Volumetric Scattering Tomography of Clouds. Yael Sde-Chen, Yoav Y. Schechner, Vadim Holodovsky, Eshkol Eytan |
| 2021 | 4D Cloud Scattering Tomography. Roi Ronen, Yoav Y. Schechner, Eshkol Eytan |
| 2021 | 4D-Net for Learned Multi-Modal Alignment. A. J. Piergiovanni, Vincent Casser, Michael S. Ryoo, Anelia Angelova |
| 2021 | 4DComplete: Non-Rigid Motion Estimation Beyond the Observable Surface. Yang Li, Hikari Takehara, Takafumi Taketomi, Bo Zheng, Matthias Nießner |
| 2021 | A Backdoor Attack against 3D Point Cloud Classifiers. Zhen Xiang, David J. Miller, Siheng Chen, Xi Li, George Kesidis |
| 2021 | A Broad Study on the Transferability of Visual Representations with Contrastive Learning. Ashraful Islam, Chun-Fu Chen, Rameswar Panda, Leonid Karlinsky, Richard J. Radke, Rogério Feris |
| 2021 | A Closer Look at Rotation-invariant Deep Point Cloud Analysis. Feiran Li, Kent Fujiwara, Fumio Okura, Yasuyuki Matsushita |
| 2021 | A Confidence-based Iterative Solver of Depths and Surface Normals for Deep Multi-view Stereo. Wang Zhao, Shaohui Liu, Yi Wei, Hengkai Guo, Yong-Jin Liu |
| 2021 | A Dark Flash Normal Camera. Zhihao Xia, Jason Lawrence, Supreeth Achar |
| 2021 | A General Recurrent Tracking Framework without Real Data. Shuai Wang, Hao Sheng, Yang Zhang, Yubin Wu, Zhang Xiong |
| 2021 | A Hierarchical Transformation-Discriminating Generative Model for Few Shot Anomaly Detection. Shelly Sheynin, Sagie Benaim, Lior Wolf |
| 2021 | A Hierarchical Variational Neural Uncertainty Model for Stochastic Video Prediction. Moitreya Chatterjee, Narendra Ahuja, Anoop Cherian |
| 2021 | A Hybrid Frequency-Spatial Domain Model for Sparse Image Reconstruction in Scanning Transmission Electron Microscopy. Bintao He, Fa Zhang, Huanshui Zhang, Renmin Han |
| 2021 | A Hybrid Video Anomaly Detection Framework via Memory-Augmented Flow Reconstruction and Flow-Guided Frame Prediction. Zhian Liu, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li |
| 2021 | A Latent Transformer for Disentangled Face Editing in Images and Videos. Xu Yao, Alasdair Newson, Yann Gousseau, Pierre Hellier |
| 2021 | A Lazy Approach to Long-Horizon Gradient-Based Meta-Learning. Muhammad Abdullah Jamal, Liqiang Wang, Boqing Gong |
| 2021 | A Light Stage on Every Desk. Soumyadip Sengupta, Brian Curless, Ira Kemelmacher-Shlizerman, Steven M. Seitz |
| 2021 | A Machine Teaching Framework for Scalable Recognition. Pei Wang, Nuno Vasconcelos |
| 2021 | A Multi-Mode Modulator for Multi-Domain Few-Shot Classification. Yanbin Liu, Juho Lee, Linchao Zhu, Ling Chen, Humphrey Shi, Yi Yang |
| 2021 | A New Journey from SDRTV to HDRTV. Xiangyu Chen, Zhengwen Zhang, Jimmy S. Ren, Lynhoo Tian, Yu Qiao, Chao Dong |
| 2021 | A Robust Loss for Point Cloud Registration. Zhi Deng, Yuxin Yao, Bailin Deng, Juyong Zhang |
| 2021 | A Simple Baseline for Semi-supervised Semantic Segmentation with Strong Data Augmentation Jianlong Yuan, Yifan Liu, Chunhua Shen, Zhibin Wang, Hao Li |
| 2021 | A Simple Baseline for Weakly-Supervised Scene Graph Generation. Jing Shi, Yiwu Zhong, Ning Xu, Yin Li, Chenliang Xu |
| 2021 | A Simple Feature Augmentation for Domain Generalization. Pan Li, Da Li, Wei Li, Shaogang Gong, Yanwei Fu, Timothy M. Hospedales |
| 2021 | A Simple Framework for 3D Lensless Imaging with Programmable Masks. Yucheng Zheng, Yi Hua, Aswin C. Sankaranarayanan, M. Salman Asif |
| 2021 | A Style and Semantic Memory Mechanism for Domain Generalization Yang Chen, Yu Wang, Yingwei Pan, Ting Yao, Xinmei Tian, Tao Mei |
| 2021 | A Unified 3D Human Motion Synthesis Model via Conditional Variational Auto-Encoder Yujun Cai, Yiwei Wang, Yiheng Zhu, Tat-Jen Cham, Jianfei Cai, Junsong Yuan, Jun Liu, Chuanxia Zheng, Sijie Yan, Henghui Ding, Xiaohui Shen, Ding Liu, Nadia Magnenat-Thalmann |
| 2021 | A Unified Objective for Novel Class Discovery. Enrico Fini, Enver Sangineto, Stéphane Lathuilière, Zhun Zhong, Moin Nabi, Elisa Ricci |
| 2021 | A Weakly Supervised Amodal Segmenter with Boundary Uncertainty Estimation. Khoi Nguyen, Sinisa Todorovic |
| 2021 | A-SDF: Learning Disentangled Signed Distance Functions for Articulated Shape Representation. Jiteng Mu, Weichao Qiu, Adam Kortylewski, Alan L. Yuille, Nuno Vasconcelos, Xiaolong Wang |
| 2021 | AA-RMVSNet: Adaptive Aggregation Recurrent Multi-view Stereo Network. Zizhuang Wei, Qingtian Zhu, Chen Min, Yisong Chen, Guoping Wang |
| 2021 | ACAV100M: Automatic Curation of Large-Scale Datasets for Audio-Visual Video Representation Learning. Sangho Lee, Jiwan Chung, Youngjae Yu, Gunhee Kim, Thomas M. Breuel, Gal Chechik, Yale Song |
| 2021 | ACDC: The Adverse Conditions Dataset with Correspondences for Semantic Driving Scene Understanding. Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2021 | ACE: Ally Complementary Experts for Solving Long-Tailed Recognition in One-Shot. Jiarui Cai, Yizhou Wang, Jenq-Neng Hwang |
| 2021 | AD-NeRF: Audio Driven Neural Radiance Fields for Talking Head Synthesis. Yudong Guo, Keyu Chen, Sen Liang, Yong-Jin Liu, Hujun Bao, Juyong Zhang |
| 2021 | ADNet: Leveraging Error-Bias Towards Normal Direction in Face Alignment. Yangyu Huang, Hao Yang, Chong Li, Jongyoo Kim, Fangyun Wei |
| 2021 | AESOP: Abstract Encoding of Stories, Objects, and Pictures. Hareesh Ravi, Kushal Kafle, Scott Cohen, Jonathan Brandt, Mubbasir Kapadia |
| 2021 | AGKD-BML: Defense Against Adversarial Attack by Attention Guided Knowledge Distillation and Bi-directional Metric Learning. Hong Wang, Yuefan Deng, Shinjae Yoo, Haibin Ling, Yuewei Lin |
| 2021 | AI Choreographer: Music Conditioned 3D Dance Generation with AIST++. Ruilong Li, Shan Yang, David A. Ross, Angjoo Kanazawa |
| 2021 | AINet: Association Implantation for Superpixel Segmentation. Yaxiong Wang, Yunchao Wei, Xueming Qian, Li Zhu, Yi Yang |
| 2021 | ALADIN: All Layer Adaptive Instance Normalization for Fine-grained Style Similarity. Dan Ruta, Saeid Motiian, Baldo Faieta, Zhe Lin, Hailin Jin, Alex Filipkowski, Andrew Gilbert, John P. Collomosse |
| 2021 | ALL Snow Removed: Single Image Desnowing Algorithm Using Hierarchical Dual-tree Complex Wavelet Representation and Contradict Channel Loss. Wei-Ting Chen, Hao-Yu Fang, Cheng-Lin Hsieh, Cheng-Che Tsai, I-Hsiang Chen, Jian-Jiun Ding, Sy-Yen Kuo |
| 2021 | ARAPReg: An As-Rigid-As Possible Regularization Loss for Learning Deformable Shape Generators. Qixing Huang, Xiangru Huang, Bo Sun, Zaiwei Zhang, Junfeng Jiang, Chandrajit Bajaj |
| 2021 | ARCH++: Animation-Ready Clothed Human Reconstruction Revisited. Tong He, Yuanlu Xu, Shunsuke Saito, Stefano Soatto, Tony Tung |
| 2021 | ASCNet: Self-supervised Video Representation Learning with Appearance-Speed Consistency. Deng Huang, Wenhao Wu, Weiwen Hu, Xu Liu, Dongliang He, Zhihua Wu, Xiangmiao Wu, Mingkui Tan, Errui Ding |
| 2021 | ASMR: Learning Attribute-Based Person Search with Adaptive Semantic Margin Regularizer. Boseung Jeong, Jicheol Park, Suha Kwak |
| 2021 | Accelerating Atmospheric Turbulence Simulation via Learned Phase-to-Space Transform. Zhiyuan Mao, Nicholas Chimitt, Stanley H. Chan |
| 2021 | Achieving on-Mobile Real-Time Super-Resolution with Neural Architecture and Pruning Search. Zheng Zhan, Yifan Gong, Pu Zhao, Geng Yuan, Wei Niu, Yushu Wu, Tianyun Zhang, Malith Jayaweera, David R. Kaeli, Bin Ren, Xue Lin, Yanzhi Wang |
| 2021 | Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery. Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song |
| 2021 | Action-Conditioned 3D Human Motion Synthesis with Transformer VAE. Mathis Petrovich, Michael J. Black, Gül Varol |
| 2021 | Active Domain Adaptation via Clustering Uncertainty-weighted Embeddings. Viraj Prabhu, Arjun Chandrasekaran, Kate Saenko, Judy Hoffman |
| 2021 | Active Learning for Deep Object Detection via Probabilistic Modeling. Jiwoong Choi, Ismail Elezi, Hyuk-Jae Lee, Clément Farabet, José M. Álvarez |
| 2021 | Active Learning for Lane Detection: A Knowledge Distillation Approach. Fengchao Peng, Chao Wang, Jianzhuang Liu, Zhen Yang |
| 2021 | Active Universal Domain Adaptation. Xinhong Ma, Junyu Gao, Changsheng Xu |
| 2021 | AdaAttN: Revisit Attention Mechanism in Arbitrary Neural Style Transfer. Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Meiling Wang, Xin Li, Zhengxing Sun, Qian Li, Errui Ding |
| 2021 | AdaFit: Rethinking Learning-based Normal Estimation on Point Clouds. Runsong Zhu, Yuan Liu, Zhen Dong, Yuan Wang, Tengping Jiang, Wenping Wang, Bisheng Yang |
| 2021 | AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition. Rameswar Panda, Chun-Fu (Richard) Chen, Quanfu Fan, Ximeng Sun, Kate Saenko, Aude Oliva, Rogério Feris |
| 2021 | AdaSGN: Adapting Joint Number and Model Size for Efficient Skeleton-Based Action Recognition. Lei Shi, Yifan Zhang, Jian Cheng, Hanqing Lu |
| 2021 | Adaptive Adversarial Network for Source-free Domain Adaptation. Haifeng Xia, Handong Zhao, Zhengming Ding |
| 2021 | Adaptive Boundary Proposal Network for Arbitrary Shape Text Detection. Shi-Xue Zhang, Xiaobin Zhu, Chun Yang, Hongfa Wang, Xu-Cheng Yin |
| 2021 | Adaptive Convolutions with Per-pixel Dynamic Filter Atom. Ze Wang, Zichen Miao, Jun Hu, Qiang Qiu |
| 2021 | Adaptive Curriculum Learning. Yajing Kong, Liu Liu, Jun Wang, Dacheng Tao |
| 2021 | Adaptive Focus for Efficient Video Recognition. Yulin Wang, Zhaoxi Chen, Haojun Jiang, Shiji Song, Yizeng Han, Gao Huang |
| 2021 | Adaptive Graph Convolution for Point Cloud Analysis. Haoran Zhou, Yidan Feng, Mingsheng Fang, Mingqiang Wei, Jing Qin, Tong Lu |
| 2021 | Adaptive Hierarchical Graph Reasoning with Semantic Coherence for Video-and-Language Inference. Juncheng Li, Siliang Tang, Linchao Zhu, Haochen Shi, Xuanwen Huang, Fei Wu, Yi Yang, Yueting Zhuang |
| 2021 | Adaptive Label Noise Cleaning with Meta-Supervision for Deep Face Recognition. Yaobin Zhang, Weihong Deng, Yaoyao Zhong, Jiani Hu, Xian Li, Dongyue Zhao, Dongchao Wen |
| 2021 | Adaptive Surface Normal Constraint for Depth Estimation. Xiaoxiao Long, Cheng Lin, Lingjie Liu, Wei Li, Christian Theobalt, Ruigang Yang, Wenping Wang |
| 2021 | Adaptive Surface Reconstruction with Multiscale Convolutional Kernels. Benjamin Ummenhofer, Vladlen Koltun |
| 2021 | Adaptive Unfolding Total Variation Network for Low-Light Image Enhancement. Chuanjun Zheng, Daming Shi, Wentian Shi |
| 2021 | Adaptive confidence thresholding for monocular depth estimation. Hyesong Choi, Hunsang Lee, Sunkyung Kim, Sunok Kim, Seungryong Kim, Kwanghoon Sohn, Dongbo Min |
| 2021 | Admix: Enhancing the Transferability of Adversarial Attacks. Xiaosen Wang, Xuanran He, Jingdong Wang, Kun He |
| 2021 | AdvDrop: Adversarial Attack to DNNs by Dropping Information. Ranjie Duan, Yuefeng Chen, Dantong Niu, Yun Yang, A. K. Qin, Yuan He |
| 2021 | AdvRush: Searching for Adversarially Robust Neural Architectures. Jisoo Mok, Byunggook Na, Hyeokjun Choe, Sungroh Yoon |
| 2021 | Adversarial Attack on Deep Cross-Modal Hamming Retrieval. Chao Li, Shangqian Gao, Cheng Deng, Wei Liu, Heng Huang |
| 2021 | Adversarial Attacks On Multi-Agent Communication. James Tu, Tsun-Hsuan Wang, Jingkang Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun |
| 2021 | Adversarial Attacks are Reversible with Natural Supervision. Chengzhi Mao, Mia Chiquier, Hao Wang, Junfeng Yang, Carl Vondrick |
| 2021 | Adversarial Example Detection Using Latent Neighborhood Graph. Ahmed Abusnaina, Yuhang Wu, Sunpreet S. Arora, Yizhen Wang, Fei Wang, Hao Yang, David Mohaisen |
| 2021 | Adversarial Robustness for Unsupervised Domain Adaptation. Muhammad Awais, Fengwei Zhou, Hang Xu, Lanqing Hong, Ping Luo, Sung-Ho Bae, Zhenguo Li |
| 2021 | Adversarial Unsupervised Domain Adaptation with Conditional and Label Shift: Infer, Align and Iterate. Xiaofeng Liu, Zhenhua Guo, Site Li, Fangxu Xing, Jane You, C.-C. Jay Kuo, Georges El Fakhri, Jonghye Woo |
| 2021 | Adversarial VQA: A New Benchmark for Evaluating the Robustness of VQA Models. Linjie Li, Jie Lei, Zhe Gan, Jingjing Liu |
| 2021 | AgentFormer: Agent-Aware Transformers for Socio-Temporal Multi-Agent Forecasting. Ye Yuan, Xinshuo Weng, Yanglan Ou, Kris Kitani |
| 2021 | Aggregation with Feature Detection. Shuyang Sun, Xiaoyu Yue, Xiaojuan Qi, Wanli Ouyang, Victor Prisacariu, Philip H. S. Torr |
| 2021 | Aha! Adaptive History-driven Attack for Decision-based Black-box Models. Jie Li, Rongrong Ji, Peixian Chen, Baochang Zhang, Xiaopeng Hong, Ruixin Zhang, Shaoxin Li, Jilin Li, Feiyue Huang, Yongjian Wu |
| 2021 | Airbert: In-domain Pretraining for Vision-and-Language Navigation. Pierre-Louis Guhur, Makarand Tapaswi, Shizhe Chen, Ivan Laptev, Cordelia Schmid |
| 2021 | Aligning Latent and Image Spaces to Connect the Unconnectable. Ivan Skorokhodov, Grigorii Sotnikov, Mohamed Elhoseiny |
| 2021 | Aligning Subtitles in Sign Language Videos. Hannah Bull, Triantafyllos Afouras, Gül Varol, Samuel Albanie, Liliane Momeni, Andrew Zisserman |
| 2021 | Always Be Dreaming: A New Approach for Data-Free Class-Incremental Learning. James Seale Smith, Yen-Chang Hsu, Jonathan C. Balloch, Yilin Shen, Hongxia Jin, Zsolt Kira |
| 2021 | Amplitude-Phase Recombination: Rethinking Robustness of Convolutional Neural Networks in Frequency Domain. Guangyao Chen, Peixi Peng, Li Ma, Jia Li, Lin Du, Yonghong Tian |
| 2021 | An Asynchronous Kalman Filter for Hybrid Event Cameras. Ziwei Wang, Yonhon Ng, Cedric Scheerlinck, Robert E. Mahony |
| 2021 | An Elastica Geodesic Approach with Convexity Shape Prior. Da Chen, Laurent D. Cohen, Jean-Marie Mirebeau, Xuecheng Tai |
| 2021 | An Empirical Study of Training Self-Supervised Vision Transformers. Xinlei Chen, Saining Xie, Kaiming He |
| 2021 | An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation. Rongchang Xie, Chunyu Wang, Wenjun Zeng, Yizhou Wang |
| 2021 | An End-to-End Transformer Model for 3D Object Detection. Ishan Misra, Rohit Girdhar, Armand Joulin |
| 2021 | Animatable Neural Radiance Fields for Modeling Dynamic Human Bodies. Sida Peng, Junting Dong, Qianqian Wang, Shangzhan Zhang, Qing Shuai, Xiaowei Zhou, Hujun Bao |
| 2021 | Anonymizing Egocentric Videos. Daksh Thapar, Aditya Nigam, Chetan Arora |
| 2021 | Anticipative Video Transformer. Rohit Girdhar, Kristen Grauman |
| 2021 | Architecture Disentanglement for Deep Neural Networks. Jie Hu, Liujuan Cao, Tong Tong, Qixiang Ye, Shengchuan Zhang, Ke Li, Feiyue Huang, Ling Shao, Rongrong Ji |
| 2021 | Are we Missing Confidence in Pseudo-LiDAR Methods for Monocular 3D Object Detection? Andrea Simonelli, Samuel Rota Bulò, Lorenzo Porzi, Peter Kontschieder, Elisa Ricci |
| 2021 | Artificial Fingerprinting for Generative Models: Rooting Deepfake Attribution in Training Data. Ning Yu, Vladislav Skripniuk, Sahar Abdelnabi, Mario Fritz |
| 2021 | Ask&Confirm: Active Detail Enriching for Cross-Modal Retrieval with Partial Query. Guanyu Cai, Jun Zhang, Xinyang Jiang, Yifei Gong, Lianghua He, Fufu Yu, Pai Peng, Xiaowei Guo, Feiyue Huang, Xing Sun |
| 2021 | Assignment-Space-based Multi-Object Tracking and Segmentation. Anwesa Choudhuri, Girish Chowdhary, Alexander G. Schwing |
| 2021 | Asymmetric Bilateral Motion Estimation for Video Frame Interpolation. Junheum Park, Chul Lee, Chang-Su Kim |
| 2021 | Asymmetric Loss For Multi-Label Classification. Tal Ridnik, Emanuel Ben Baruch, Nadav Zamir, Asaf Noy, Itamar Friedman, Matan Protter, Lihi Zelnik-Manor |
| 2021 | Attack as the Best Defense: Nullifying Image-to-image Translation GANs via Limit-aware Adversarial Attack. Chin-Yuan Yeh, Hsi-Wen Chen, Hong-Han Shuai, De-Nian Yang, Ming-Syan Chen |
| 2021 | Attack-Guided Perceptual Data Generation for Real-world Re-Identification. Yukun Huang, Xueyang Fu, Zheng-Jun Zha |
| 2021 | Attention is not Enough: Mitigating the Distribution Discrepancy in Asynchronous Multimodal Sequence Fusion. Tao Liang, Guosheng Lin, Lei Feng, Yan Zhang, Fengmao Lv |
| 2021 | Attention-based Multi-Reference Learning for Image Super-Resolution. Marco Pesavento, Marco Volino, Adrian Hilton |
| 2021 | Attentional Pyramid Pooling of Salient Visual Residuals for Place Recognition. Guohao Peng, Jun Zhang, Heshan Li, Danwei Wang |
| 2021 | Attentive and Contrastive Learning for Joint Depth and Motion Field Estimation. Seokju Lee, François Rameau, Fei Pan, In So Kweon |
| 2021 | Audio-Visual Floorplan Reconstruction. Senthil Purushwalkam, Sebastià Vicenc Amengual Garí, Vamsi Krishna Ithapu, Carl Schissler, Philip W. Robinson, Abhinav Gupta, Kristen Grauman |
| 2021 | Audio2Gestures: Generating Diverse Gestures from Speech Audio with Conditional Variational Autoencoders. Jing Li, Di Kang, Wenjie Pei, Xuefei Zhe, Ying Zhang, Zhenyu He, Linchao Bao |
| 2021 | Augmented Lagrangian Adversarial Attacks. Jérôme Rony, Eric Granger, Marco Pedersoli, Ismail Ben Ayed |
| 2021 | Augmenting Depth Estimation with Geospatial Context. Scott Workman, Hunter Blanton |
| 2021 | Auto Graph Encoder-Decoder for Neural Network Pruning. Sixing Yu, Arya Mazaheri, Ali Jannesari |
| 2021 | Auto-Parsing Network for Image Captioning and Visual Question Answering. Xu Yang, Chongyang Gao, Hanwang Zhang, Jianfei Cai |
| 2021 | AutoFormer: Searching Transformers for Visual Recognition. Minghao Chen, Houwen Peng, Jianlong Fu, Haibin Ling |
| 2021 | AutoShape: Real-Time Shape-Aware Monocular 3D Object Detection. Zongdai Liu, Dingfu Zhou, Feixiang Lu, Jin Fang, Liangjun Zhang |
| 2021 | AutoSpace: Neural Architecture Search with Less Human Interference. Daquan Zhou, Xiaojie Jin, Xiaochen Lian, Linjie Yang, Yujing Xue, Qibin Hou, Jiashi Feng |
| 2021 | Auxiliary Tasks and Exploration Enable ObjectGoal Navigation. Joel Ye, Dhruv Batra, Abhishek Das, Erik Wijmans |
| 2021 | BAPA-Net: Boundary Adaptation and Prototype Alignment for Cross-domain Semantic Segmentation. Yahao Liu, Jinhong Deng, Xinchen Gao, Wen Li, Lixin Duan |
| 2021 | BARF: Bundle-Adjusting Neural Radiance Fields. Chen-Hsuan Lin, Wei-Chiu Ma, Antonio Torralba, Simon Lucey |
| 2021 | BEV-Net: Assessing Social Distancing Compliance by Joint People Localization and Geometric Reasoning. Zhirui Dai, Yuepeng Jiang, Yi Li, Bo Liu, Antoni B. Chan, Nuno Vasconcelos |
| 2021 | BN-NAS: Neural Architecture Search with Batch Normalization. Boyu Chen, Peixia Li, Baopu Li, Chen Lin, Chuming Li, Ming Sun, Junjie Yan, Wanli Ouyang |
| 2021 | BV-Person: A Large-scale Dataset for Bird-view Person Re-identification. Cheng Yan, Guansong Pang, Lei Wang, Jile Jiao, Xuetao Feng, Chunhua Shen, Jingjing Li |
| 2021 | BabelCalib: A Universal Approach to Calibrating Central Cameras. Yaroslava Lochman, Kostiantyn Liepieshov, Jianhui Chen, Michal Perdoch, Christopher Zach, James Pritts |
| 2021 | Baking Neural Radiance Fields for Real-Time View Synthesis. Peter Hedman, Pratul P. Srinivasan, Ben Mildenhall, Jonathan T. Barron, Paul E. Debevec |
| 2021 | Batch Normalization Increases Adversarial Vulnerability and Decreases Adversarial Transferability: A Non-Robust Feature Perspective. Philipp Benz, Chaoning Zhang, In So Kweon |
| 2021 | Bayesian Deep Basis Fitting for Depth Completion with Uncertainty. Chao Qu, Wenxin Liu, Camillo J. Taylor |
| 2021 | Bayesian Triplet Loss: Uncertainty Quantification in Image Retrieval. Frederik Warburg, Martin Jørgensen, Javier Civera, Søren Hauberg |
| 2021 | Benchmark Platform for Ultra-Fine-Grained Visual Categorization Beyond Human Performance. Xiaohan Yu, Yang Zhao, Yongsheng Gao, Xiaohui Yuan, Shengwu Xiong |
| 2021 | Benchmarking Ultra-High-Definition Image Super-resolution. Kaihao Zhang, Dongxu Li, Wenhan Luo, Wenqi Ren, Björn Stenger, Wei Liu, Hongdong Li, Ming-Hsuan Yang |
| 2021 | Better Aggregation in Test-Time Augmentation. Divya Shanmugam, Davis W. Blalock, Guha Balakrishnan, John V. Guttag |
| 2021 | Beyond Question-Based Biases: Assessing Multimodal Shortcut Learning in Visual Question Answering. Corentin Dancette, Rémi Cadène, Damien Teney, Matthieu Cord |
| 2021 | Beyond Road Extraction: A Dataset for Map Update using Aerial Images. Favyen Bastani, Sam Madden |
| 2021 | Beyond Trivial Counterfactual Explanations with Diverse Valuable Explanations. Pau Rodríguez, Massimo Caccia, Alexandre Lacoste, Lee Zamparo, Issam H. Laradji, Laurent Charlin, David Vázquez |
| 2021 | BiMaL: Bijective Maximum Likelihood Approach to Domain Adaptation in Semantic Scene Segmentation. Thanh-Dat Truong, Chi Nhan Duong, Ngan Le, Son Lam Phung, Chase Rainwater, Khoa Luu |
| 2021 | BiaSwap: Removing Dataset Bias with Bias-Tailored Swapping Augmentation. Eungyeup Kim, Jihyeon Lee, Jaegul Choo |
| 2021 | Bias Loss for Mobile Neural Networks. Lusine Abrahamyan, Valentin Ziatchin, Yiming Chen, Nikos Deligiannis |
| 2021 | Bifold and Semantic Reasoning for Pedestrian Behavior Prediction. Amir Rasouli, Mohsen Rohani, Jun Luo |
| 2021 | Big Self-Supervised Models Advance Medical Image Classification. Shekoofeh Azizi, Basil Mustafa, Fiona Ryan, Zachary Beaver, Jan Freyberg, Jonathan Deaton, Aaron Loh, Alan Karthikesalingam, Simon Kornblith, Ting Chen, Vivek Natarajan, Mohammad Norouzi |
| 2021 | Binocular Mutual Learning for Improving Few-shot Classification. Ziqi Zhou, Xi Qiu, Jiangtao Xie, Jianan Wu, Chi Zhang |
| 2021 | BioFors: A Large Biomedical Image Forensics Dataset. Ekraam Sabir, Soumyaroop Nandi, Wael AbdAlmageed, Prem Natarajan |
| 2021 | Bit-Mixer: Mixed-precision networks with runtime bit-width selection. Adrian Bulat, Georgios Tzimiropoulos |
| 2021 | Black-box Detection of Backdoor Attacks with Limited Information and Data. Yinpeng Dong, Xiao Yang, Zhijie Deng, Tianyu Pang, Zihao Xiao, Hang Su, Jun Zhu |
| 2021 | BlockCopy: High-Resolution Video Processing with Block-Sparse Feature Propagation and Online Policies. Thomas Verelst, Tinne Tuytelaars |
| 2021 | BlockPlanner: City Block Generation with Vectorized Graph Representation. Linning Xu, Yuanbo Xiangli, Anyi Rao, Nanxuan Zhao, Bo Dai, Ziwei Liu, Dahua Lin |
| 2021 | Body-Face Joint Detection via Embedding and Head Hook. Junfeng Wan, Jiangfan Deng, Xiaosong Qiu, Feng Zhou |
| 2021 | Boosting Monocular Depth Estimation with Lightweight 3D Point Fusion. Lam Huynh, Phong Nguyen, Jirí Matas, Esa Rahtu, Janne Heikkilä |
| 2021 | Boosting Weakly Supervised Object Detection via Learning Bounding Box Adjusters. Bowen Dong, Zitong Huang, Yuelin Guo, Qilong Wang, Zhenxing Niu, Wangmeng Zuo |
| 2021 | Boosting the Generalization Capability in Cross-Domain Few-shot Learning via Noise-enhanced Supervised Autoencoder. Hanwen Liang, Qiong Zhang, Peng Dai, Juwei Lu |
| 2021 | Bootstrap Your Own Correspondences. Mohamed El Banani, Justin Johnson |
| 2021 | BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search. Changlin Li, Tao Tang, Guangrun Wang, Jiefeng Peng, Bing Wang, Xiaodan Liang, Xiaojun Chang |
| 2021 | Boundary-sensitive Pre-training for Temporal Localization in Videos. Mengmeng Xu, Juan-Manuel Pérez-Rúa, Victor Escorcia, Brais Martínez, Xiatian Zhu, Li Zhang, Bernard Ghanem, Tao Xiang |
| 2021 | Box-Aware Feature Enhancement for Single Object Tracking on Point Clouds. Chaoda Zheng, Xu Yan, Jiantao Gao, Weibing Zhao, Wei Zhang, Zhen Li, Shuguang Cui |
| 2021 | Bridging Unsupervised and Supervised Depth from Focus via All-in-Focus Supervision. Ning-Hsu Wang, Ren Wang, Yu-Lun Liu, Yu-Hao Huang, Yu-Lin Chang, Chia-Ping Chen, Kevin Jou |
| 2021 | Bridging the Gap between Label- and Reference-based Synthesis in Multi-attribute Image-to-Image Translation. Qiusheng Huang, Zhilin Zheng, Xueqi Hu, Li Sun, Qingli Li |
| 2021 | Bringing Events into Video Deblurring with Non-consecutively Blurry Frames. Wei Shang, Dongwei Ren, Dongqing Zou, Jimmy S. Ren, Ping Luo, Wangmeng Zuo |
| 2021 | Broaden Your Views for Self-Supervised Video Learning. Adrià Recasens, Pauline Luc, Jean-Baptiste Alayrac, Luyu Wang, Florian Strub, Corentin Tallec, Mateusz Malinowski, Viorica Patraucean, Florent Altché, Michal Valko, Jean-Bastien Grill, Aäron van den Oord, Andrew Zisserman |
| 2021 | Building-GAN: Graph-Conditioned Architectural Volumetric Design Generation. Kai-Hung Chang, Chin-Yi Cheng, Jieliang Luo, Shingo Murata, Mehdi Nourbakhsh, Yoshito Tsuji |
| 2021 | BuildingNet: Learning to Label 3D Buildings. Pratheba Selvaraju, Mohamed Nabail, Marios Loizou, Maria Maslioukova, Melinos Averkiou, Andreas Andreou, Siddhartha Chaudhuri, Evangelos Kalogerakis |
| 2021 | C Yanning Zhou, Hang Xu, Wei Zhang, Bin Gao, Pheng-Ann Heng |
| 2021 | C2N: Practical Generative Noise Modeling for Real-World Denoising. Geonwoon Jang, Wooseok Lee, Sanghyun Son, Kyoung Mu Lee |
| 2021 | CAG-QIL: Context-Aware Actionness Grouping via Q Imitation Learning for Online Temporal Action Localization. Hyolim Kang, Kyungmin Kim, Yumin Ko, Seon Joo Kim |
| 2021 | CANet: A Context-Aware Network for Shadow Removal. Zipei Chen, Chengjiang Long, Ling Zhang, Chunxia Xiao |
| 2021 | CAPTRA: CAtegory-level Pose Tracking for Rigid and Articulated Objects from Point Clouds. Yijia Weng, He Wang, Qiang Zhou, Yuzhe Qin, Yueqi Duan, Qingnan Fan, Baoquan Chen, Hao Su, Leonidas J. Guibas |
| 2021 | CCT-Net: Category-Invariant Cross-Domain Transfer for Medical Single-to-Multiple Disease Diagnosis. Yi Zhou, Lei Huang, Tao Zhou, Ling Shao |
| 2021 | CDNet: Centripetal Direction Network for Nuclear Instance Segmentation. Hongliang He, Zhongyi Huang, Yao Ding, Guoli Song, Lin Wang, Qian Ren, Pengxu Wei, Zhiqiang Gao, Jie Chen |
| 2021 | CDS: Cross-Domain Self-supervised Pre-training. Donghyun Kim, Kuniaki Saito, Tae-Hyun Oh, Bryan A. Plummer, Stan Sclaroff, Kate Saenko |
| 2021 | CLEAR: Clean-up Sample-Targeted Backdoor in Neural Networks. Liuwan Zhu, Rui Ning, Chunsheng Xin, Chonggang Wang, Hongyi Wu |
| 2021 | CM-NAS: Cross-Modality Neural Architecture Search for Visible-Infrared Person Re-Identification. Chaoyou Fu, Yibo Hu, Xiang Wu, Hailin Shi, Tao Mei, Ran He |
| 2021 | CODEs: Chamfer Out-of-Distribution Examples against Overconfidence Issue. Keke Tang, Dingruibo Miao, Weilong Peng, Jianpeng Wu, Yawen Shi, Zhaoquan Gu, Zhihong Tian, Wenping Wang |
| 2021 | COMISR: Compression-Informed Video Super-Resolution. Yinxiao Li, Pengchong Jin, Feng Yang, Ce Liu, Ming-Hsuan Yang, Peyman Milanfar |
| 2021 | COOKIE: Contrastive Cross-Modal Knowledge Sharing Pre-training for Vision-Language Representation. Keyu Wen, Jin Xia, Yuanyuan Huang, Linyang Li, Jiayan Xu, Jie Shao |
| 2021 | COTR: Correspondence Transformer for Matching Across Images. Wei Jiang, Eduard Trulls, Jan Hosang, Andrea Tagliasacchi, Kwang Moo Yi |
| 2021 | CPF: Learning a Contact Potential Field to Model the Hand-Object Interaction. Lixin Yang, Xinyu Zhan, Kailin Li, Wenqiang Xu, Jiefeng Li, Cewu Lu |
| 2021 | CPFN: Cascaded Primitive Fitting Networks for High-Resolution Point Clouds. Eric-Tuan Lê, Minhyuk Sung, Duygu Ceylan, Radomír Mech, Tamy Boubekeur, Niloy J. Mitra |
| 2021 | CR-Fill: Generative Image Inpainting with Auxiliary Contextual Reconstruction. Yu Zeng, Zhe Lin, Huchuan Lu, Vishal M. Patel |
| 2021 | CSG-Stump: A Learning Friendly CSG-Like Representation for Interpretable Shape Parsing. Daxuan Ren, Jianmin Zheng, Jianfei Cai, Jiatong Li, Haiyong Jiang, Zhongang Cai, Junzhe Zhang, Liang Pan, Mingyuan Zhang, Haiyu Zhao, Shuai Yi |
| 2021 | CTRL-C: Camera calibration TRansformer with Line-Classification. Jinwoo Lee, Hyunsung Go, Hyunjoon Lee, Sunghyun Cho, Min-Hyuk Sung, Junho Kim |
| 2021 | CaT: Weakly Supervised Object Detection with Category Transfer. Tianyue Cao, Lianyu Du, Xiaoyun Zhang, Siheng Chen, Ya Zhang, Yanfeng Wang |
| 2021 | Calibrated Adversarial Refinement for Stochastic Semantic Segmentation. Elias Kassapis, Georgi Dikov, Deepak K. Gupta, Cedric Nugteren |
| 2021 | Calibrated and Partially Calibrated Semi-Generalized Homographies. Snehal Bhayani, Torsten Sattler, Daniel Barath, Patrik Beliansky, Janne Heikkilä, Zuzana Kukelova |
| 2021 | Calibrating Concepts and Operations: Towards Symbolic Reasoning on Real Images. Zhuowan Li, Elias Stengel-Eskin, Yixiao Zhang, Cihang Xie, Quan Tran, Benjamin Van Durme, Alan L. Yuille |
| 2021 | Camera Distortion-aware 3D Human Pose Estimation in Video with Optimization-based Meta-Learning. Hanbyel Cho, Yooshin Cho, Jaemyung Yu, Junmo Kim |
| 2021 | Can Scale-Consistent Monocular Depth Be Learned in a Self-Supervised Scale-Invariant Manner? Lijun Wang, Yifan Wang, Linzhao Wang, Yunlong Zhan, Ying Wang, Huchuan Lu |
| 2021 | Can Shape Structure Features Improve Model Robustness under Diverse Adversarial Settings? Mingjie Sun, Zichao Li, Chaowei Xiao, Haonan Qiu, Bhavya Kailkhura, Mingyan Liu, Bo Li |
| 2021 | CanvasVAE: Learning to Generate Vector Graphic Documents. Kota Yamaguchi |
| 2021 | Cascade Image Matting with Deformable Graph Refinement. Zijian Yu, Xuhui Li, Huijuan Huang, Wen Zheng, Li Chen |
| 2021 | Causal Attention for Unbiased Visual Recognition. Tan Wang, Chang Zhou, Qianru Sun, Hanwang Zhang |
| 2021 | Change is Everywhere: Single-Temporal Supervised Object Change Detection in Remote Sensing Imagery. Zhuo Zheng, Ailong Ma, Liangpei Zhang, Yanfei Zhong |
| 2021 | Channel Augmented Joint Learning for Visible-Infrared Recognition. Mang Ye, Weijian Ruan, Bo Du, Mike Zheng Shou |
| 2021 | Channel-wise Knowledge Distillation for Dense Prediction Changyong Shu, Yifan Liu, Jianfei Gao, Zheng Yan, Chunhua Shen |
| 2021 | Channel-wise Topology Refinement Graph Convolution for Skeleton-Based Action Recognition. Yuxin Chen, Ziqi Zhang, Chunfeng Yuan, Bing Li, Ying Deng, Weiming Hu |
| 2021 | Cherry-Picking Gradients: Learning Low-Rank Embeddings of Visual Data via Differentiable Cross-Approximation. Mikhail Usvyatsov, Anastasia Makarova, Rafael Ballester-Ripoll, Maxim V. Rakhuba, Andreas Krause, Konrad Schindler |
| 2021 | Class Semantics-based Attention for Action Detection. Deepak Sridhar, Niamul Quader, Srikanth Muralidharan, Yaoxin Li, Peng Dai, Juwei Lu |
| 2021 | Class-Incremental Learning for Action Recognition in Videos. Jaeyoo Park, Minsoo Kang, Bohyung Han |
| 2021 | Click to Move: Controlling Video Generation with Sparse Motion. Pierfrancesco Ardino, Marco De Nadai, Bruno Lepri, Elisa Ricci, Stéphane Lathuilière |
| 2021 | Clothing Status Awareness for Long-Term Person Re-Identification. Yan Huang, Qiang Wu, Jingsong Xu, Yi Zhong, Zhaoxiang Zhang |
| 2021 | Cloud Transformers: A Universal Approach To Point Cloud Processing Tasks. Kirill Mazur, Victor Lempitsky |
| 2021 | Cluster-Promoting Quantization with Bit-Drop for Minimizing Network Quantization Loss. Jung Hyun Lee, Jihun Yun, Sung Ju Hwang, Eunho Yang |
| 2021 | Clustering by Maximizing Mutual Information Across Views. Kien Do, Truyen Tran, Svetha Venkatesh |
| 2021 | Co Hyuntak Cha, Jaeho Lee, Jinwoo Shin |
| 2021 | Co-Scale Conv-Attentional Image Transformers. Weijian Xu, Yifan Xu, Tyler A. Chang, Zhuowen Tu |
| 2021 | CoMatch: Semi-supervised Learning with Contrastive Graph Regularization. Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | Coarsely-labeled Data for Better Few-shot Transfer. Cheng Perng Phoo, Bharath Hariharan |
| 2021 | CodeNeRF: Disentangled Neural Radiance Fields for Object Categories. Wonbong Jang, Lourdes Agapito |
| 2021 | Collaborative Learning with Disentangled Features for Zero-shot Domain Adaptation. Won Young Jhoo, Jae-Pil Heo |
| 2021 | Collaborative Optimization and Aggregation for Decentralized Domain Generalization and Adaptation. Guile Wu, Shaogang Gong |
| 2021 | Collaborative Unsupervised Visual Representation Learning from Decentralized Data. Weiming Zhuang, Xin Gan, Yonggang Wen, Shuai Zhang, Shuai Yi |
| 2021 | Collaborative and Adversarial Learning of Focused and Dispersive Representations for Semi-supervised Polyp Segmentation. Huisi Wu, Guilian Chen, Zhenkun Wen, Jing Qin |
| 2021 | Collaging Class-specific GANs for Semantic Image Synthesis. Yuheng Li, Yijun Li, Jingwan Lu, Eli Shechtman, Yong Jae Lee, Krishna Kumar Singh |
| 2021 | Common Objects in 3D: Large-Scale Learning and Evaluation of Real-life 3D Category Reconstruction. Jeremy Reizenstein, Roman Shapovalov, Philipp Henzler, Luca Sbordone, Patrick Labatut, David Novotný |
| 2021 | Complementary Patch for Weakly Supervised Semantic Segmentation. Fei Zhang, Chaochen Gu, Chenyue Zhang, Yuchao Dai |
| 2021 | Composable Augmentation Encoding for Video Representation Learning. Chen Sun, Arsha Nagrani, Yonglong Tian, Cordelia Schmid |
| 2021 | Compressing Visual-linguistic Model via Knowledge Distillation. Zhiyuan Fang, Jianfeng Wang, Xiaowei Hu, Lijuan Wang, Yezhou Yang, Zicheng Liu |
| 2021 | Concept Generalization in Visual Representation Learning. Mert Bülent Sariyildiz, Yannis Kalantidis, Diane Larlus, Karteek Alahari |
| 2021 | CondLaneNet: a Top-to-down Lane Detection Framework Based on Conditional Convolution. Lizhe Liu, Xiaohao Chen, Siyu Zhu, Ping Tan |
| 2021 | Condensing a Sequence to One Informative Frame for Video Recognition. Zhaofan Qiu, Ting Yao, Yan Shu, Chong-Wah Ngo, Tao Mei |
| 2021 | Conditional DETR for Fast Training Convergence. Depu Meng, Xiaokang Chen, Zejia Fan, Gang Zeng, Houqiang Li, Yuhui Yuan, Lei Sun, Jingdong Wang |
| 2021 | Conditional Diffusion for Interactive Segmentation. Xi Chen, Zhiyan Zhao, Feiwu Yu, Yilei Zhang, Manni Duan |
| 2021 | Conditional Variational Capsule Network for Open Set Recognition. Yunrui Guo, Guglielmo Camporese, Wenjing Yang, Alessandro Sperduti, Lamberto Ballan |
| 2021 | Confidence Calibration for Domain Generalization under Covariate Shift. Yunye Gong, Xiao Lin, Yi Yao, Thomas G. Dietterich, Ajay Divakaran, Melinda T. Gervasio |
| 2021 | Conformer: Local Features Coupling Global Representations for Visual Recognition. Zhiliang Peng, Wei Huang, Shanzhi Gu, Lingxi Xie, Yaowei Wang, Jianbin Jiao, Qixiang Ye |
| 2021 | Consistency-Aware Graph Network for Human Interaction Understanding. Zhenhua Wang, Jiajun Meng, Dongyan Guo, Jianhua Zhang, Qinfeng (Javen) Shi, Shengyong Chen |
| 2021 | Consistency-Sensitivity Guided Ensemble Black-Box Adversarial Attacks in Low-Dimensional Spaces. Jianhe Yuan, Zhihai He |
| 2021 | Contact-Aware Retargeting of Skinned Motion. Ruben Villegas, Duygu Ceylan, Aaron Hertzmann, Jimei Yang, Jun Saito |
| 2021 | Context Decoupling Augmentation for Weakly Supervised Semantic Segmentation. Yukun Su, Ruizhou Sun, Guosheng Lin, Qingyao Wu |
| 2021 | Context Reasoning Attention Network for Image Super-Resolution. Yulun Zhang, Donglai Wei, Can Qin, Huan Wang, Hanspeter Pfister, Yun Fu |
| 2021 | Context-Sensitive Temporal Feature Learning for Gait Recognition. Xiaohu Huang, Duowang Zhu, Hao Wang, Xinggang Wang, Bo Yang, Botao He, Wenyu Liu, Bin Feng |
| 2021 | Context-aware Scene Graph Generation with Seq2Seq Transformers. Yichao Lu, Himanshu Rai, Jason Chang, Boris Knyazev, Guangwei Yu, Shashank Shekhar, Graham W. Taylor, Maksims Volkovs |
| 2021 | Contextually Plausible and Diverse 3D Human Motion Prediction. Sadegh Aliakbarian, Fatemeh Sadat Saleh, Lars Petersson, Stephen Gould, Mathieu Salzmann |
| 2021 | Continual Learning for Image-Based Camera Localization. Shuzhe Wang, Zakaria Laskar, Iaroslav Melekhov, Xiaotian Li, Juho Kannala |
| 2021 | Continual Learning on Noisy Data Streams via Self-Purified Replay. Chris Dongjoo Kim, Jinseo Jeong, Sangwoo Moon, Gunhee Kim |
| 2021 | Continual Neural Mapping: Learning An Implicit Scene Representation from Sequential Observations. Zike Yan, Yuxin Tian, Xuesong Shi, Ping Guo, Peng Wang, Hongbin Zha |
| 2021 | Continual Prototype Evolution: Learning Online from Non-Stationary Data Streams. Matthias De Lange, Tinne Tuytelaars |
| 2021 | Continuous Copy-Paste for One-stage Multi-object Tracking and Segmentation. Zhenbo Xu, Ajin Meng, Zhenbo Shi, Wei Yang, Zhi Chen, Liusheng Huang |
| 2021 | Contrast and Classify: Training Robust VQA Models. Yash Kant, Abhinav Moudgil, Dhruv Batra, Devi Parikh, Harsh Agrawal |
| 2021 | Contrast and Order Representations for Video Self-supervised Learning. Kai Hu, Jie Shao, Yuan Liu, Bhiksha Raj, Marios Savvides, Zhiqiang Shen |
| 2021 | Contrasting Contrastive Self-Supervised Representation Learning Pipelines. Klemen Kotar, Gabriel Ilharco, Ludwig Schmidt, Kiana Ehsani, Roozbeh Mottaghi |
| 2021 | Contrastive Attention Maps for Self-supervised Co-localization. Minsong Ki, Youngjung Uh, Junsuk Choe, Hyeran Byun |
| 2021 | Contrastive Coding for Active Learning under Class Distribution Mismatch. Pan Du, Suyun Zhao, Hui Chen, Shuwen Chai, Hong Chen, Cuiping Li |
| 2021 | Contrastive Learning for Label Efficient Semantic Segmentation. Xiangyun Zhao, Raviteja Vemulapalli, Philip Andrew Mansfield, Boqing Gong, Bradley Green, Lior Shapira, Ying Wu |
| 2021 | Contrastive Learning of Image Representations with Cross-Video Cycle-Consistency. Haiping Wu, Xiaolong Wang |
| 2021 | Contrastive Multimodal Fusion with TupleInfoNCE. Yunze Liu, Qingnan Fan, Shanghang Zhang, Hao Dong, Thomas A. Funkhouser, Li Yi |
| 2021 | Cortical Surface Shape Analysis Based on Alexandrov Polyhedra. Min Zhang, Yang Guo, Na Lei, Zhou Zhao, Jianfeng Wu, Xiaoyin Xu, Yalin Wang, Xianfeng Gu |
| 2021 | Counterfactual Attention Learning for Fine-Grained Visual Categorization and Re-identification. Yongming Rao, Guangyi Chen, Jiwen Lu, Jie Zhou |
| 2021 | CrackFormer: Transformer Network for Fine-Grained Crack Detection. Huajun Liu, Xiangyu Miao, Christoph Mertz, Chengzhong Xu, Hui Kong |
| 2021 | Cross-Camera Convolutional Color Constancy. Mahmoud Afifi, Jonathan T. Barron, Chloe LeGendre, Yun-Ta Tsai, Francois Bleibel |
| 2021 | Cross-Descriptor Visual Localization and Mapping. Mihai Dusmanu, Ondrej Miksik, Johannes L. Schönberger, Marc Pollefeys |
| 2021 | Cross-Encoder for Unsupervised Gaze Representation Learning. Yunjia Sun, Jiabei Zeng, Shiguang Shan, Xilin Chen |
| 2021 | Cross-Modality Person Re-Identification via Modality Confusion and Center Aggregation. Xin Hao, Sanyuan Zhao, Mang Ye, Jianbing Shen |
| 2021 | Cross-Patch Graph Convolutional Network for Image Denoising. Yao Li, Xueyang Fu, Zheng-Jun Zha |
| 2021 | Cross-Sentence Temporal and Semantic Relations in Video Activity Localisation. Jiabo Huang, Yang Liu, Shaogang Gong, Hailin Jin |
| 2021 | Cross-category Video Highlight Detection via Set-based Learning. Minghao Xu, Hang Wang, Bingbing Ni, Riheng Zhu, Zhenbang Sun, Changhu Wang |
| 2021 | CrossCLR: Cross-modal Contrastive Learning For Multi-modal Video Representations. Mohammadreza Zolfaghari, Yi Zhu, Peter V. Gehler, Thomas Brox |
| 2021 | CrossDet: Crossline Representation for Object Detection. Heqian Qiu, Hongliang Li, Qingbo Wu, Jianhua Cui, Zichen Song, Lanxiao Wang, Minjian Zhang |
| 2021 | CrossNorm and SelfNorm for Generalization under Distribution Shifts. Zhiqiang Tang, Yunhe Gao, Yi Zhu, Zhi Zhang, Mu Li, Dimitris N. Metaxas |
| 2021 | CrossViT: Cross-Attention Multi-Scale Vision Transformer for Image Classification. Chun-Fu (Richard) Chen, Quanfu Fan, Rameswar Panda |
| 2021 | Crossover Learning for Fast Online Video Instance Segmentation. Shusheng Yang, Yuxin Fang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu |
| 2021 | Crowd Counting With Partial Annotations in an Image. Yanyu Xu, Ziming Zhong, Dongze Lian, Jing Li, Zhengxin Li, Xinxing Xu, Shenghua Gao |
| 2021 | CrowdDriven: A New Challenging Dataset for Outdoor Visual Localization. Ara Jafarzadeh, Manuel López-Antequera, Pau Gargallo, Yubin Kuang, Carl Toft, Fredrik Kahl, Torsten Sattler |
| 2021 | CryoDRGN2: Ab initio neural reconstruction of 3D protein structures from real cryo-EM images. Ellen D. Zhong, Adam Lerer, Joseph H. Davis, Bonnie Berger |
| 2021 | Curious Representation Learning for Embodied Intelligence. Yilun Du, Chuang Gan, Phillip Isola |
| 2021 | Curvature Generation in Curved Spaces for Few-Shot Learning. Zhi Gao, Yuwei Wu, Yunde Jia, Mehrtash Harandi |
| 2021 | CvT: Introducing Convolutions to Vision Transformers. Haiping Wu, Bin Xiao, Noel Codella, Mengchen Liu, Xiyang Dai, Lu Yuan, Lei Zhang |
| 2021 | D2-Net: Weakly-Supervised Action Localization via Discriminative Embeddings and Denoised Activations. Sanath Narayan, Hisham Cholakkal, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao |
| 2021 | DAE-GAN: Dynamic Aspect-aware GAN for Text-to-Image Synthesis. Shulan Ruan, Yong Zhang, Kun Zhang, Yanbo Fan, Fan Tang, Qi Liu, Enhong Chen |
| 2021 | DAM: Discrepancy Alignment Metric for Face Recognition. Jiaheng Liu, Yudong Wu, Yichao Wu, Chuming Li, Xiaolin Hu, Ding Liang, Mengyu Wang |
| 2021 | DC-ShadowNet: Single-Image Hard and Soft Shadow Removal Using Unsupervised Domain-Classifier Guided Network. Yeying Jin, Aashish Sharma, Robby T. Tan |
| 2021 | DCT-SNN: Using DCT to Distribute Spatial Information over Time for Low-Latency Spiking Neural Networks. Isha Garg, Sayeed Shafayet Chowdhury, Kaushik Roy |
| 2021 | DECA: Deep viewpoint-Equivariant human pose estimation using Capsule Autoencoders. Nicola Garau, Niccolò Bisagno, Piotr Bródka, Nicola Conci |
| 2021 | DOLG: Single-Stage Image Retrieval with Deep Orthogonal Fusion of Local and Global Features. Min Yang, Dongliang He, Miao Fan, Baorong Shi, Xuetong Xue, Fu Li, Errui Ding, Jizhou Huang |
| 2021 | DRB-GAN: A Dynamic ResBlock Generative Adversarial Network for Artistic Style Transfer. Wenju Xu, Chengjiang Long, Ruisheng Wang, Guanghui Wang |
| 2021 | DRINet: A Dual-Representation Iterative Learning Network for Point Cloud Segmentation. Maosheng Ye, Shuangjie Xu, Tongyi Cao, Qifeng Chen |
| 2021 | DRIVE: Deep Reinforced Accident Anticipation with Visual Explanation. Wentao Bao, Qi Yu, Yu Kong |
| 2021 | DRÆM - A discriminatively trained reconstruction embedding for surface anomaly detection. Vitjan Zavrtanik, Matej Kristan, Danijel Skocaj |
| 2021 | DTMNet: A Discrete Tchebichef Moments-based Deep Neural Network for Multi-focus Image Fusion. Bin Xiao, Haifeng Wu, Xiuli Bi |
| 2021 | DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds. Robin Magnet, Maks Ovsjanikov |
| 2021 | Dance with Self-Attention: A New Look of Conditional Random Fields on Anomaly Detection in Videos. Didik Purwanto, Yie-Tarng Chen, Wen-Hsien Fang |
| 2021 | Data-free Universal Adversarial Perturbation and Black-box Attack. Chaoning Zhang, Philipp Benz, Adil Karjauv, In So Kweon |
| 2021 | De-rendering Stylized Texts. Wataru Shimoda, Daichi Haraguchi, Seiichi Uchida, Kota Yamaguchi |
| 2021 | DeFRCN: Decoupled Faster R-CNN for Few-Shot Object Detection. Limeng Qiao, Yuxuan Zhao, Zhiyuan Li, Xi Qiu, Jianan Wu, Chi Zhang |
| 2021 | DecentLaM: Decentralized Momentum SGD for Large-batch Deep Training. Kun Yuan, Yiming Chen, Xinmeng Huang, Yingya Zhang, Pan Pan, Yinghui Xu, Wotao Yin |
| 2021 | DeePSD: Automatic Deep Skinning And Pose Space Deformation For 3D Garment Animation. Hugo Bertiche, Meysam Madadi, Emilio Tylson, Sergio Escalera |
| 2021 | Deep 3D Mask Volume for View Synthesis of Dynamic Scenes. Kai-En Lin, Lei Xiao, Feng Liu, Guowei Yang, Ravi Ramamoorthi |
| 2021 | Deep Blind Video Super-resolution. Jinshan Pan, Haoran Bai, Jiangxin Dong, Jiawei Zhang, Jinhui Tang |
| 2021 | Deep Co-Training with Task Decomposition for Semi-Supervised Domain Adaptation. Luyu Yang, Yan Wang, Mingfei Gao, Abhinav Shrivastava, Kilian Q. Weinberger, Wei-Lun Chao, Ser-Nam Lim |
| 2021 | Deep Edge-Aware Interactive Colorization against Color-Bleeding Effects. Eungyeup Kim, Sanghyeon Lee, Jeonghoon Park, Somi Choi, Choonghyun Seo, Jaegul Choo |
| 2021 | Deep Halftoning with Reversible Binary Pattern. Menghan Xia, Wenbo Hu, Xueting Liu, Tien-Tsin Wong |
| 2021 | Deep Hough Voting for Robust Global Registration. Junha Lee, Seungwook Kim, Minsu Cho, Jaesik Park |
| 2021 | Deep Hybrid Self-Prior for Full 3D Mesh Generation. Xingkui Wei, Zhengqing Chen, Yanwei Fu, Zhaopeng Cui, Yinda Zhang |
| 2021 | Deep Implicit Surface Point Prediction Networks. Rahul Venkatesh, Tejan Karmali, Sarthak Sharma, Aurobrata Ghosh, R. Venkatesh Babu, László A. Jeni, Maneesh Singh |
| 2021 | Deep Matching Prior: Test-Time Optimization for Dense Correspondence. Sunghwan Hong, Seungryong Kim |
| 2021 | Deep Metric Learning for Open World Semantic Segmentation. Jun Cen, Peng Yun, Junhao Cai, Michael Yu Wang, Ming Liu |
| 2021 | Deep Permutation Equivariant Structure from Motion. Dror Moran, Hodaya Koslowsky, Yoni Kasten, Haggai Maron, Meirav Galun, Ronen Basri |
| 2021 | Deep Relational Metric Learning. Wenzhao Zheng, Borui Zhang, Jiwen Lu, Jie Zhou |
| 2021 | Deep Reparametrization of Multi-Frame Super-Resolution and Denoising. Goutam Bhat, Martin Danelljan, Fisher Yu, Luc Van Gool, Radu Timofte |
| 2021 | Deep Structured Instance Graph for Distilling Object Detectors. Yixin Chen, Pengguang Chen, Shu Liu, Liwei Wang, Jiaya Jia |
| 2021 | Deep Symmetric Network for Underexposed Image Enhancement with Recurrent Attentional Learning. Lin Zhao, Shao-Ping Lu, Tao Chen, Zhenglu Yang, Ariel Shamir |
| 2021 | Deep Transport Network for Unsupervised Video Object Segmentation. Kaihua Zhang, Zicheng Zhao, Dong Liu, Qingshan Liu, Bo Liu |
| 2021 | Deep Virtual Markers for Articulated 3D Shapes. Hyomin Kim, Jungeon Kim, Jaewon Kam, Jaesik Park, Seungyong Lee |
| 2021 | Deep survival analysis with longitudinal X-rays for COVID-19. Michelle Shu, Richard Strong Bowen, Charles Herrmann, Gengmo Qi, Michele Santacatterina, Ramin Zabih |
| 2021 | DeepCAD: A Deep Generative Network for Computer-Aided Design Models. Rundi Wu, Chang Xiao, Changxi Zheng |
| 2021 | DeepGaze IIE: Calibrated prediction in and out-of-domain for state-of-the-art saliency modeling. Akis Linardos, Matthias Kümmerer, Ori Press, Matthias Bethge |
| 2021 | DeepMultiCap: Performance Capture of Multiple Characters Using Sparse Multiview Cameras. Yang Zheng, Ruizhi Shao, Yuxiang Zhang, Tao Yu, Zerong Zheng, Qionghai Dai, Yebin Liu |
| 2021 | DeepPRO: Deep Partial Point Cloud Registration of Objects. Donghoon Lee, Onur C. Hamsici, Steven Feng, Prachee Sharma, Thorsten Gernoth |
| 2021 | DeepPanoContext: Panoramic 3D Scene Understanding with Holistic Scene Context Graph and Relation-based Optimization. Cheng Zhang, Zhaopeng Cui, Cai Chen, Shuaicheng Liu, Bing Zeng, Hujun Bao, Yinda Zhang |
| 2021 | Defending against Universal Adversarial Patches by Clipping Feature Norms. Cheng Yu, Jiansheng Chen, Youze Xue, Yuyang Liu, Weitao Wan, Jiayu Bao, Huimin Ma |
| 2021 | Defocus Map Estimation and Deblurring from a Single Dual-Pixel Image. Shumian Xin, Neal Wadhwa, Tianfan Xue, Jonathan T. Barron, Pratul P. Srinivasan, Jiawen Chen, Ioannis Gkioulekas, Rahul Garg |
| 2021 | Dense Deep Unfolding Network with 3D-CNN Prior for Snapshot Compressive Imaging. Zhuoyuan Wu, Jian Zhang, Chong Mou |
| 2021 | Dense Interaction Learning for Video-based Person Re-identification. Tianyu He, Xin Jin, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua |
| 2021 | DensePose 3D: Lifting Canonical Surface Maps of Articulated Objects to the Third Dimension. Roman Shapovalov, David Novotný, Benjamin Graham, Patrick Labatut, Andrea Vedaldi |
| 2021 | DenseTNT: End-to-end Trajectory Prediction from Dense Goal Sets. Junru Gu, Chen Sun, Hang Zhao |
| 2021 | Densely Guided Knowledge Distillation using Multiple Teacher Assistants. Wonchul Son, Jaemin Na, Junyong Choi, Wonjun Hwang |
| 2021 | DepthInSpace: Exploitation and Fusion of Multiple Video Frames for Structured-Light Depth Estimation. Mohammad Mahdi Johari, Camilla Carta, François Fleuret |
| 2021 | DepthTrack: Unveiling the Power of RGBD Tracking. Song Yan, Jinyu Yang, Jani Käpylä, Feng Zheng, Ales Leonardis, Joni-Kristian Kämäräinen |
| 2021 | Describing and Localizing Multiple Changes with Transformers. Yue Qiu, Shintaro Yamamoto, Kodai Nakashima, Ryota Suzuki, Kenji Iwata, Hirokatsu Kataoka, Yutaka Satoh |
| 2021 | Designing a Practical Degradation Model for Deep Blind Image Super-Resolution. Kai Zhang, Jingyun Liang, Luc Van Gool, Radu Timofte |
| 2021 | DetCo: Unsupervised Contrastive Learning for Object Detection. Enze Xie, Jian Ding, Wenhai Wang, Xiaohang Zhan, Hang Xu, Peize Sun, Zhenguo Li, Ping Luo |
| 2021 | Detail Me More: Improving GAN's photo-realism of complex scenes. Raghudeep Gadde, Qianli Feng, Aleix M. Martínez |
| 2021 | Detecting Human-Object Relationships in Videos. Jingwei Ji, Rishi Desai, Juan Carlos Niebles |
| 2021 | Detecting Invisible People. Tarasha Khurana, Achal Dave, Deva Ramanan |
| 2021 | Detecting Persuasive Atypicality by Modeling Contextual Compatibility. Meiqi Guo, Rebecca Hwa, Adriana Kovashka |
| 2021 | Detection and Continual Learning of Novel Face Presentation Attacks. Mohammad Rostami, Leonidas Spinoulas, Mohamed E. Hussein, Joe Mathai, Wael Abd-Almageed |
| 2021 | Detector-Free Weakly Supervised Grounding by Separation. Assaf Arbelle, Sivan Doveh, Amit Alfassy, Joseph Shtok, Guy Lev, Eli Schwartz, Hilde Kuehne, Hila Barak Levi, Prasanna Sattigeri, Rameswar Panda, Chun-Fu Chen, Alex M. Bronstein, Kate Saenko, Shimon Ullman, Raja Giryes, Rogério Feris, Leonid Karlinsky |
| 2021 | DiagViB-6: A Diagnostic Benchmark Suite for Vision Models in the Presence of Shortcut and Generalization Opportunities. Elias Eulig, Piyapat Saranrittichai, Chaithanya Kumar Mummadi, Kilian Rambach, William Beluch, Xiahan Shi, Volker Fischer |
| 2021 | Diagonal Attention and Style-based GAN for Content-Style Disentanglement in Image Generation and Translation. Gihyun Kwon, Jong Chul Ye |
| 2021 | Differentiable Convolution Search for Point Cloud Processing. Xing Nie, Yongcheng Liu, Shaohong Chen, Jianlong Chang, Chunlei Huo, Gaofeng Meng, Qi Tian, Weiming Hu, Chunhong Pan |
| 2021 | Differentiable Dynamic Wirings for Neural Networks. Kun Yuan, Quanquan Li, Shaopeng Guo, Dapeng Chen, Aojun Zhou, Fengwei Yu, Ziwei Liu |
| 2021 | Differentiable Surface Rendering via Non-Differentiable Sampling. Forrester Cole, Kyle Genova, Avneesh Sud, Daniel Vlasic, Zhoutong Zhang |
| 2021 | Digging into Uncertainty in Self-supervised Multi-view Stereo. Hongbin Xu, Zhipeng Zhou, Yali Wang, Wenxiong Kang, Baigui Sun, Hao Li, Yu Qiao |
| 2021 | Direct Differentiable Augmentation Search. Aoming Liu, Zehao Huang, Zhiwu Huang, Naiyan Wang |
| 2021 | DisUnknown: Distilling Unknown Factors for Disentanglement Learning. Sitao Xiang, Yuming Gu, Pengda Xiang, Menglei Chai, Hao Li, Yajie Zhao, Mingming He |
| 2021 | DiscoBox: Weakly Supervised Instance Segmentation and Semantic Correspondence from Box Supervision. Shiyi Lan, Zhiding Yu, Christopher B. Choy, Subhashree Radhakrishnan, Guilin Liu, Yuke Zhu, Larry S. Davis, Anima Anandkumar |
| 2021 | Discover the Unknown Biased Attribute of an Image Classifier. Zhiheng Li, Chenliang Xu |
| 2021 | Discovering 3D Parts from Image Collections. Chun-Han Yao, Wei-Chih Hung, Varun Jampani, Ming-Hsuan Yang |
| 2021 | Discovering Human Interactions with Large-Vocabulary Objects via Query and Multi-Scale Detection. Suchen Wang, Kim-Hui Yap, Henghui Ding, Jiyan Wu, Junsong Yuan, Yap-Peng Tan |
| 2021 | Discriminative Region-based Multi-Label Zero-Shot Learning. Sanath Narayan, Akshita Gupta, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Mubarak Shah |
| 2021 | Disentangled High Quality Salient Object Detection. Lv Tang, Bo Li, Yijie Zhong, Shouhong Ding, Mofei Song |
| 2021 | Disentangled Lifespan Face Synthesis. Sen He, Wentong Liao, Michael Ying Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang |
| 2021 | Disentangled Representation for Age-Invariant Face Recognition: A Mutual Information Minimization Perspective. Xuege Hou, Yali Li, Shengjin Wang |
| 2021 | Dissecting Image Crops. Basile Van Hoorick, Carl Vondrick |
| 2021 | Distance-aware Quantization. Dohyung Kim, Junghyup Lee, Bumsub Ham |
| 2021 | Distillation-guided Image Inpainting. Maitreya Suin, Kuldeep Purohit, A. N. Rajagopalan |
| 2021 | Distilling Global and Local Logits with Densely Connected Relations. Youmin Kim, Jinbae Park, Younho Jang, Muhammad Salman Ali, Tae-Hyun Oh, Sung-Ho Bae |
| 2021 | Distilling Holistic Knowledge with Graph Neural Networks. Sheng Zhou, Yucheng Wang, Defang Chen, Jiawei Chen, Xin Wang, Can Wang, Jiajun Bu |
| 2021 | Distilling Optimal Neural Networks: Rapid Search in Diverse Spaces. Bert Moons, Parham Noorzad, Andrii Skliar, Giovanni Mariani, Dushyant Mehta, Chris Lott, Tijmen Blankevoort |
| 2021 | Distilling Virtual Examples for Long-tailed Recognition. Yin-Yin He, Jianxin Wu, Xiu-Shen Wei |
| 2021 | Distinctiveness oriented Positional Equilibrium for Point Cloud Registration. Taewon Min, Chonghyuk Song, Eunseok Kim, Inwook Shim |
| 2021 | Distributional Robustness Loss for Long-tail Learning. Dvir Samuel, Gal Chechik |
| 2021 | DivAug: Plug-in Automated Data Augmentation with Explicit Diversity Maximization. Zirui Liu, Haifeng Jin, Ting-Hsiang Wang, Kaixiong Zhou, Xia Hu |
| 2021 | Diverse Image Style Transfer via Invertible Cross-Space Mapping. Haibo Chen, Lei Zhao, Huiming Zhang, Zhizhong Wang, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu |
| 2021 | Divide and Conquer for Single-frame Temporal Action Localization. Chen Ju, Peisen Zhao, Siheng Chen, Ya Zhang, Yanfeng Wang, Qi Tian |
| 2021 | Divide and Contrast: Self-supervised Learning from Uncurated Data. Yonglong Tian, Olivier J. Hénaff, Aäron van den Oord |
| 2021 | Divide-and-Assemble: Learning Block-wise Memory for Unsupervised Anomaly Detection. Jinlei Hou, Yingying Zhang, Qiaoyong Zhong, Di Xie, Shiliang Pu, Hong Zhou |
| 2021 | DnD: Dense Depth Estimation in Crowded Dynamic Indoor Scenes. Dongki Jung, Jaehoon Choi, Yonghan Lee, Deokhwa Kim, Changick Kim, Dinesh Manocha, Donghwan Lee |
| 2021 | Do Different Deep Metric Learning Losses Lead to Similar Learned Features? Konstantin Kobs, Michael Steininger, Andrzej Dulny, Andreas Hotho |
| 2021 | Do Image Classifiers Generalize Across Time? Vaishaal Shankar, Achal Dave, Rebecca Roelofs, Deva Ramanan, Benjamin Recht, Ludwig Schmidt |
| 2021 | DocFormer: End-to-End Transformer for Document Understanding. Srikar Appalaraju, Bhavan Jasani, Bhargava Urala Kota, Yusheng Xie, R. Manmatha |
| 2021 | Domain Adaptive Semantic Segmentation with Self-Supervised Depth Estimation. Qin Wang, Dengxin Dai, Lukas Hoyer, Luc Van Gool, Olga Fink |
| 2021 | Domain Adaptive Video Segmentation via Temporal Consistency Regularization. Dayan Guan, Jiaxing Huang, Aoran Xiao, Shijian Lu |
| 2021 | Domain Generalization via Gradient Surgery. Lucas Mansilla, Rodrigo Echeveste, Diego H. Milone, Enzo Ferrante |
| 2021 | Domain-Aware Universal Style Transfer. Kibeom Hong, Seogkyu Jeon, Huan Yang, Jianlong Fu, Hyeran Byun |
| 2021 | Domain-Invariant Disentangled Network for Generalizable Object Detection. Chuang Lin, Zehuan Yuan, Sicheng Zhao, Peize Sun, Changhu Wang, Jianfei Cai |
| 2021 | Dressing in Order: Recurrent Person Image Generation for Pose Transfer, Virtual Try-on and Outfit Editing. Aiyu Cui, Daniel McKee, Svetlana Lazebnik |
| 2021 | Dual Bipartite Graph Learning: A General Approach for Domain Adaptive Object Detection. Chaoqi Chen, Jiongcheng Li, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu |
| 2021 | Dual Contrastive Loss and Attention for GANs. Ning Yu, Guilin Liu, Aysegul Dundar, Andrew Tao, Bryan Catanzaro, Larry Davis, Mario Fritz |
| 2021 | Dual Path Learning for Domain Adaptation of Semantic Segmentation. Yiting Cheng, Fangyun Wei, Jianmin Bao, Dong Chen, Fang Wen, Wenqiang Zhang |
| 2021 | Dual Projection Generative Adversarial Networks for Conditional Image Generation. Ligong Han, Martin Renqiang Min, Anastasis Stathopoulos, Yu Tian, Ruijiang Gao, Asim Kadav, Dimitris N. Metaxas |
| 2021 | Dual Transfer Learning for Event-based End-task Prediction via Pluggable Event to Image Translation. Lin Wang, Yujeong Chae, Kuk-Jin Yoon |
| 2021 | Dual-Camera Super-Resolution with Aligned Attention Modules. Tengfei Wang, Jiaxin Xie, Wenxiu Sun, Qiong Yan, Qifeng Chen |
| 2021 | DualPoseNet: Category-level 6D Object Pose and Size Estimation Using Dual Pose Network with Refined Learning of Pose Consistency. Jiehong Lin, Zewei Wei, Zhihao Li, Songcen Xu, Kui Jia, Yuanqing Li |
| 2021 | Dynamic Attentive Graph Learning for Image Restoration. Chong Mou, Jian Zhang, Zhuoyuan Wu |
| 2021 | Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields. Albert W. Reed, Hyojin Kim, Rushil Anirudh, K. Aditya Mohan, Kyle Champley, Jingu Kang, Suren Jayasuriya |
| 2021 | Dynamic Context-Sensitive Filtering Network for Video Salient Object Detection. Miao Zhang, Jie Liu, Yifei Wang, Yongri Piao, Shunyu Yao, Wei Ji, Jingjing Li, Huchuan Lu, Zhongxuan Luo |
| 2021 | Dynamic Cross Feature Fusion for Remote Sensing Pansharpening. Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng, Tian-Jing Zhang |
| 2021 | Dynamic DETR: End-to-End Object Detection with Dynamic Attention. Xiyang Dai, Yinpeng Chen, Jianwei Yang, Pengchuan Zhang, Lu Yuan, Lei Zhang |
| 2021 | Dynamic Divide-and-Conquer Adversarial Training for Robust Semantic Segmentation. Xiaogang Xu, Hengshuang Zhao, Jiaya Jia |
| 2021 | Dynamic Dual Gating Neural Networks. Fanrong Li, Gang Li, Xiangyu He, Jian Cheng |
| 2021 | Dynamic High-Pass Filtering and Multi-Spectral Attention for Image Super-Resolution. Salma Abdel Magid, Yulun Zhang, Donglai Wei, Won-Dong Jang, Zudi Lin, Yun Fu, Hanspeter Pfister |
| 2021 | Dynamic Network Quantization for Efficient Video Inference. Ximeng Sun, Rameswar Panda, Chun-Fu (Richard) Chen, Aude Oliva, Rogério Feris, Kate Saenko |
| 2021 | Dynamic Surface Function Networks for Clothed Human Bodies. Andrei Burov, Matthias Nießner, Justus Thies |
| 2021 | Dynamic View Synthesis from Dynamic Monocular Video. Chen Gao, Ayush Saraf, Johannes Kopf, Jia-Bin Huang |
| 2021 | Dynamical Pose Estimation. Heng Yang, Chris Doran, Jean-Jacques E. Slotine |
| 2021 | EC-DARTS: Inducing Equalized and Consistent Optimization into DARTS. Qinqin Zhou, Xiawu Zheng, Liujuan Cao, Bineng Zhong, Teng Xi, Gang Zhang, Errui Ding, Mingliang Xu, Rongrong Ji |
| 2021 | ECACL: A Holistic Framework for Semi-Supervised Domain Adaptation. Kai Li, Chang Liu, Handong Zhao, Yulun Zhang, Yun Fu |
| 2021 | ECS-Net: Improving Weakly Supervised Semantic Segmentation by Using Connections Between Class Activation Maps. Kunyang Sun, Haoqing Shi, Zhengming Zhang, Yongming Huang |
| 2021 | ELF-VC: Efficient Learned Flexible-Rate Video Coding. Oren Rippel, Alexander G. Anderson, Kedar Tatwawadi, Sanjay Nair, Craig Lytle, Lubomir D. Bourdev |
| 2021 | ELLIPSDF: Joint Object Pose and Shape Optimization with a Bi-level Ellipsoid and Signed Distance Function Description. Mo Shan, Qiaojun Feng, You-Yi Jau, Nikolay Atanasov |
| 2021 | ELSD: Efficient Line Segment Detector and Descriptor. Haotian Zhang, Yicheng Luo, Fangbo Qin, Yijia He, Xiao Liu |
| 2021 | EM-POSE: 3D Human Pose Estimation from Sparse Electromagnetic Trackers. Manuel Kaufmann, Yi Zhao, Chengcheng Tang, Lingling Tao, Christopher D. Twigg, Jie Song, Robert Wang, Otmar Hilliges |
| 2021 | EPP-MVSNet: Epipolar-assembling based Depth Prediction for Multi-view Stereo. Xinjun Ma, Yue Gong, Qirui Wang, Jingwei Huang, Lei Chen, Fan Yu |
| 2021 | Editing Conditional Radiance Fields. Steven Liu, Xiuming Zhang, Zhoutong Zhang, Richard Zhang, Jun-Yan Zhu, Bryan Russell |
| 2021 | Effectively Leveraging Attributes for Visual Similarity. Samarth Mishra, Zhongping Zhang, Yuan Shen, Ranjitha Kumar, Venkatesh Saligrama, Bryan A. Plummer |
| 2021 | Efficient Action Recognition via Dynamic Knowledge Propagation. Hanul Kim, Mihir Jain, Jun-Tae Lee, Sungrack Yun, Fatih Porikli |
| 2021 | Efficient Large Scale Inlier Voting for Geometric Vision Problems. Dror Aiger, Simon Lynen, Jan Hosang, Bernhard Zeisl |
| 2021 | Efficient Video Compression via Content-Adaptive Super-Resolution. Mehrdad Khani Shirkoohi, Vibhaalakshmi Sivaraman, Mohammad Alizadeh |
| 2021 | Efficient Visual Pretraining with Contrastive Detection. Olivier J. Hénaff, Skanda Koppula, Jean-Baptiste Alayrac, Aäron van den Oord, Oriol Vinyals, João Carreira |
| 2021 | Efficient and Differentiable Shadow Computation for Inverse Problems. Linjie Lyu, Marc Habermann, Lingjie Liu, Mallikarjun B. R., Ayush Tewari, Christian Theobalt |
| 2021 | EgoRenderer: Rendering Human Avatars from Egocentric Camera Images. Tao Hu, Kripasindhu Sarkar, Lingjie Liu, Matthias Zwicker, Christian Theobalt |
| 2021 | Egocentric Pose Estimation from Human Vision Span. Hao Jiang, Vamsi Krishna Ithapu |
| 2021 | EigenGAN: Layer-Wise Eigen-Learning for GANs. Zhenliang He, Meina Kan, Shiguang Shan |
| 2021 | Elaborative Rehearsal for Zero-shot Action Recognition. Shizhe Chen, Dong Huang |
| 2021 | Else-Net: Elastic Semantic Network for Continual Action Recognition from Skeleton Data. Tianjiao Li, Qiuhong Ke, Hossein Rahmani, Rui En Ho, Henghui Ding, Jun Liu |
| 2021 | Embed Me If You Can: A Geometric Perceptron. Pavlo Melnyk, Michael Felsberg, Mårten Wadenbäck |
| 2021 | Embedding Novel Views in a Single JPEG Image. Yue Wu, Guotao Meng, Qifeng Chen |
| 2021 | Emerging Properties in Self-Supervised Vision Transformers. Mathilde Caron, Hugo Touvron, Ishan Misra, Hervé Jégou, Julien Mairal, Piotr Bojanowski, Armand Joulin |
| 2021 | Encoder-decoder with Multi-level Attention for 3D Human Shape and Pose Estimation. Ziniu Wan, Zhengjia Li, Maoqing Tian, Jianbo Liu, Shuai Yi, Hongsheng Li |
| 2021 | End-to-End Dense Video Captioning with Parallel Decoding. Teng Wang, Ruimao Zhang, Zhichao Lu, Feng Zheng, Ran Cheng, Ping Luo |
| 2021 | End-to-End Detection and Pose Estimation of Two Interacting Hands. Donguk Kim, Kwang In Kim, Seungryul Baek |
| 2021 | End-to-End Semi-Supervised Object Detection with Soft Teacher. Mengde Xu, Zheng Zhang, Han Hu, Jianfeng Wang, Lijuan Wang, Fangyun Wei, Xiang Bai, Zicheng Liu |
| 2021 | End-to-End Trainable Trident Person Search Network Using Adaptive Gradient Propagation. Byeong-Ju Han, Kuhyeun Ko, Jae-Young Sim |
| 2021 | End-to-End Unsupervised Document Image Blind Denoising. Mehrdad J. Gangeh, Marcin Plata, Hamid R. Motahari Nezhad, Nigel P. Duffy |
| 2021 | End-to-End Urban Driving by Imitating a Reinforcement Learning Coach. Zhejun Zhang, Alexander Liniger, Dengxin Dai, Fisher Yu, Luc Van Gool |
| 2021 | End-to-End Video Instance Segmentation via Spatial-Temporal Graph Neural Networks. Tao Wang, Ning Xu, Kean Chen, Weiyao Lin |
| 2021 | End-to-end Piece-wise Unwarping of Document Images. Sagnik Das, Kunwar Yashraj Singh, Jon Wu, Erhan Bas, Vijay Mahadevan, Rahul Bhotika, Dimitris Samaras |
| 2021 | End-to-end robust joint unsupervised image alignment and clustering. Xiangrui Zeng, Gregory Howe, Min Xu |
| 2021 | Energy-Based Open-World Uncertainty Modeling for Confidence Calibration. Yezhen Wang, Bo Li, Tong Che, Kaiyang Zhou, Ziwei Liu, Dongsheng Li |
| 2021 | Enhanced Boundary Learning for Glass-like Object Segmentation. Hao He, Xiangtai Li, Guangliang Cheng, Jianping Shi, Yunhai Tong, Gaofeng Meng, Véronique Prinet, Lubin Weng |
| 2021 | Enhancing Self-supervised Video Representation Learning via Multi-level Feature Optimization. Rui Qian, Yuxi Li, Huabin Liu, John See, Shuangrui Ding, Xian Liu, Dian Li, Weiyao Lin |
| 2021 | Enriching Local and Global Contexts for Temporal Action Localization. Zixin Zhu, Wei Tang, Le Wang, Nanning Zheng, Gang Hua |
| 2021 | Ensemble Attention Distillation for Privacy-Preserving Federated Learning. Xuan Gong, Abhishek Sharma, Srikrishna Karanam, Ziyan Wu, Terrence Chen, David S. Doermann, Arun Innanje |
| 2021 | Entropy Maximization and Meta Classification for Out-of-Distribution Detection in Semantic Segmentation. Robin Chan, Matthias Rottmann, Hanno Gottschalk |
| 2021 | Env-QA: A Video Question Answering Benchmark for Comprehensive Understanding of Dynamic Environments. Difei Gao, Ruiping Wang, Ziyi Bai, Xilin Chen |
| 2021 | Episodic Transformer for Vision-and-Language Navigation. Alexander Pashevich, Cordelia Schmid, Chen Sun |
| 2021 | Equivariant Imaging: Learning Beyond the Range Space. Dongdong Chen, Julián Tachella, Mike E. Davies |
| 2021 | Estimating Egocentric 3D Human Pose in Global Space. Jian Wang, Lingjie Liu, Weipeng Xu, Kripasindhu Sarkar, Christian Theobalt |
| 2021 | Estimating and Exploiting the Aleatoric Uncertainty in Surface Normal Estimation. Gwangbin Bae, Ignas Budvytis, Roberto Cipolla |
| 2021 | EvIntSR-Net: Event Guided Multiple Latent Frames Reconstruction and Super-resolution. Jin Han, Yixin Yang, Chu Zhou, Chao Xu, Boxin Shi |
| 2021 | Event Stream Super-Resolution via Spatiotemporal Constraint Learning. Siqi Li, Yutong Feng, Yipeng Li, Yu Jiang, Changqing Zou, Yue Gao |
| 2021 | Event-Intensity Stereo: Estimating Depth by the Best of Both Worlds. S. Mohammad Mostafavi I., Kuk-Jin Yoon, Jonghyun Choi |
| 2021 | Event-based Video Reconstruction Using Transformer. Wenming Weng, Yueyi Zhang, Zhiwei Xiong |
| 2021 | EventHPE: Event-based 3D Human Pose and Shape Estimation. Shihao Zou, Chuan Guo, Xinxin Zuo, Sen Wang, Pengyu Wang, Xiaoqin Hu, Shoushun Chen, Minglun Gong, Li Cheng |
| 2021 | EventHands: Real-Time Neural 3D Hand Pose Estimation from an Event Stream. Viktor Rudnev, Vladislav Golyanik, Jiayi Wang, Hans-Peter Seidel, Franziska Mueller, Mohamed A. Elgharib, Christian Theobalt |
| 2021 | Evidential Deep Learning for Open Set Action Recognition. Wentao Bao, Qi Yu, Yu Kong |
| 2021 | Evolving Search Space for Neural Architecture Search. Yuanzheng Ci, Chen Lin, Ming Sun, Boyu Chen, Hongwen Zhang, Wanli Ouyang |
| 2021 | Excavating the Potential Capacity of Self-Supervised Monocular Depth Estimation. Rui Peng, Ronggang Wang, Yawen Lai, Luyang Tang, Yangang Cai |
| 2021 | Explain Me the Painting: Multi-Topic Knowledgeable Art Description Generation. Zechen Bai, Yuta Nakashima, Noa Garcia |
| 2021 | Explainable Person Re-Identification with Attribute-guided Metric Distillation. Xiaodong Chen, Xinchen Liu, Wu Liu, Xiao-Ping Zhang, Yongdong Zhang, Tao Mei |
| 2021 | Explainable Video Entailment with Grounded Visual Evidence. Junwen Chen, Yu Kong Golisano |
| 2021 | Explaining Local, Global, And Higher-Order Interactions In Deep Learning. Samuel Lerman, Charles Venuto, Henry A. Kautz, Chenliang Xu |
| 2021 | Explaining in Style: Training a GAN to explain a classifier in StyleSpace. Oran Lang, Yossi Gandelsman, Michal Yarom, Yoav Wald, Gal Elidan, Avinatan Hassidim, William T. Freeman, Phillip Isola, Amir Globerson, Michal Irani, Inbar Mosseri |
| 2021 | Explanations for Occluded Images. Hana Chockler, Daniel Kroening, Youcheng Sun |
| 2021 | Exploiting Explanations for Model Inversion Attacks. Xuejun Zhao, Wencan Zhang, Xiaokui Xiao, Brian Y. Lim |
| 2021 | Exploiting Multi-Object Relationships for Detecting Adversarial Attacks in Complex Scenes. Mingjun Yin, Shasha Li, Zikui Cai, Chengyu Song, M. Salman Asif, Amit K. Roy-Chowdhury, Srikanth V. Krishnamurthy |
| 2021 | Exploiting Scene Graphs for Human-Object Interaction Detection. Tao He, Lianli Gao, Jingkuan Song, Yuan-Fang Li |
| 2021 | Exploiting a Joint Embedding Space for Generalized Zero-Shot Semantic Segmentation. Donghyeon Baek, Youngmin Oh, Bumsub Ham |
| 2021 | Exploiting sample correlation for crowd counting with multi-expert network. Xinyan Liu, Guorong Li, Zhenjun Han, Weigang Zhang, Yifan Yang, Qingming Huang, Nicu Sebe |
| 2021 | Exploration and Estimation for Model Compression. Yanfu Zhang, Shangqian Gao, Heng Huang |
| 2021 | Exploring Classification Equilibrium in Long-Tailed Object Detection. Chengjian Feng, Yujie Zhong, Weilin Huang |
| 2021 | Exploring Cross-Image Pixel Contrast for Semantic Segmentation. Wenguan Wang, Tianfei Zhou, Fisher Yu, Jifeng Dai, Ender Konukoglu, Luc Van Gool |
| 2021 | Exploring Geometry-aware Contrast and Clustering Harmonization for Self-supervised 3D Object Detection. Hanxue Liang, Chenhan Jiang, Dapeng Feng, Xin Chen, Hang Xu, Xiaodan Liang, Wei Zhang, Zhenguo Li, Luc Van Gool |
| 2021 | Exploring Inter-Channel Correlation for Diversity-preserved Knowledge Distillation. Li Liu, Qingle Huang, Sihao Lin, Hongwei Xie, Bing Wang, Xiaojun Chang, Xiaodan Liang |
| 2021 | Exploring Long Tail Visual Relationship Recognition with Large Vocabulary. Sherif Abdelkarim, Aniket Agarwal, Panos Achlioptas, Jun Chen, Jiaji Huang, Boyang Li, Kenneth Church, Mohamed Elhoseiny |
| 2021 | Exploring Relational Context for Multi-Task Dense Prediction. David Brüggemann, Menelaos Kanakis, Anton Obukhov, Stamatios Georgoulis, Luc Van Gool |
| 2021 | Exploring Robustness of Unsupervised Domain Adaptation in Semantic Segmentation. Jinyu Yang, Chunyuan Li, Weizhi An, Hehuan Ma, Yuzhi Guo, Yu Rong, Peilin Zhao, Junzhou Huang |
| 2021 | Exploring Simple 3D Multi-Object Tracking for Autonomous Driving. Chenxu Luo, Xiaodong Yang, Alan L. Yuille |
| 2021 | Exploring Temporal Coherence for More General Video Face Forgery Detection. Yinglin Zheng, Jianmin Bao, Dong Chen, Ming Zeng, Fang Wen |
| 2021 | Exploring Visual Engagement Signals for Representation Learning. Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim |
| 2021 | Extending Neural P-frame Codecs for B-frame Coding. Reza Pourreza, Taco Cohen |
| 2021 | Extensions of Karger's Algorithm: Why They Fail in Theory and How They Are Useful in Practice. Erik Jenner, Enrique Fita Sanmartín, Fred A. Hamprecht |
| 2021 | Extreme Structure from Motion for Indoor Panoramas without Visual Overlaps. Mohammad Amin Shabani, Weilian Song, Makoto Odamaki, Hirochika Fujiki, Yasutaka Furukawa |
| 2021 | Extreme-Quality Computational Imaging via Degradation Framework. Shiqi Chen, Huajun Feng, Keming Gao, Zhihai Xu, Yueting Chen |
| 2021 | F-Drop&Match: GANs with a Dead Zone in the High-Frequency Domain. Shin'ya Yamaguchi, Sekitoshi Kanai |
| 2021 | FACIAL: Synthesizing Dynamic Talking Face with Implicit Attribute Learning. Chenxu Zhang, Yifan Zhao, Yifei Huang, Ming Zeng, Saifeng Ni, Madhukar Budagavi, Xiaohu Guo |
| 2021 | FASA: Feature Augmentation and Sampling Adaptation for Long-Tailed Instance Segmentation. Yuhang Zang, Chen Huang, Chen Change Loy |
| 2021 | FATNN: Fast and Accurate Ternary Neural Networks Peng Chen, Bohan Zhuang, Chunhua Shen |
| 2021 | FFT-OT: A Fast Algorithm for Optimal Transportation. Na Lei, Xianfeng Gu |
| 2021 | FIERY: Future Instance Prediction in Bird's-Eye View from Surround Monocular Cameras. Anthony Hu, Zak Murez, Nikhil Mohan, Sofía Dudas, Jeffrey Hawke, Vijay Badrinarayanan, Roberto Cipolla, Alex Kendall |
| 2021 | FLAR: A Unified Prototype Framework for Few-sample Lifelong Active Recognition. Lei Fan, Peixi Xiong, Wei Wei, Ying Wu |
| 2021 | FMODetect: Robust Detection of Fast Moving Objects. Denys Rozumnyi, Jirí Matas, Filip Sroubek, Marc Pollefeys, Martin R. Oswald |
| 2021 | FOVEA: Foveated Image Magnification for Autonomous Navigation. Chittesh Thavamani, Mengtian Li, Nicolas Cebron, Deva Ramanan |
| 2021 | FREE: Feature Refinement for Generalized Zero-Shot Learning. Shiming Chen, Wenjie Wang, Beihao Xia, Qinmu Peng, Xinge You, Feng Zheng, Ling Shao |
| 2021 | FaPN: Feature-aligned Pyramid Network for Dense Image Prediction. Shihua Huang, Zhichao Lu, Ran Cheng, Cheng He |
| 2021 | Face Image Retrieval with Attribute Manipulation. Alireza Zaeemzadeh, Shabnam Ghadar, Baldo Faieta, Zhe Lin, Nazanin Rahnavard, Mubarak Shah, Ratheesh Kalarot |
| 2021 | Factorizing Perception and Policy for Interactive Instruction Following. Kunal Pratap Singh, Suvaansh Bhambri, Byeonghwi Kim, Roozbeh Mottaghi, Jonghyun Choi |
| 2021 | FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search. Xiangxiang Chu, Bo Zhang, Ruijun Xu |
| 2021 | Fake it till you make it: face analysis in the wild using synthetic data alone. Erroll Wood, Tadas Baltrusaitis, Charlie Hewitt, Sebastian Dziadzio, Thomas J. Cashman, Jamie Shotton |
| 2021 | FashionMirror: Co-attention Feature-remapping Virtual Try-on with Sequential Template Poses. Chieh-Yun Chen, Ling Lo, Pin-Jui Huang, Hong-Han Shuai, Wen-Huang Cheng |
| 2021 | Fast Convergence of DETR with Spatially Modulated Co-Attention. Peng Gao, Minghang Zheng, Xiaogang Wang, Jifeng Dai, Hongsheng Li |
| 2021 | Fast Light-field Disparity Estimation with Multi-disparity-scale Cost Aggregation. Zhicong Huang, Xuemei Hu, Zhou Xue, Weizhu Xu, Tao Yue |
| 2021 | Fast Video Moment Retrieval. Junyu Gao, Changsheng Xu |
| 2021 | Fast and Efficient DNN Deployment via Deep Gaussian Transfer Learning. Qi Sun, Chen Bai, Tinghuan Chen, Hao Geng, Xinyun Zhang, Yang Bai, Bei Yu |
| 2021 | FastNeRF: High-Fidelity Neural Rendering at 200FPS. Stephan J. Garbin, Marek Kowalski, Matthew Johnson, Jamie Shotton, Julien P. C. Valentin |
| 2021 | Faster Multi-Object Segmentation using Parallel Quadratic Pseudo-Boolean Optimization. Niels Jeppesen, Patrick M. Jensen, Anders Nymark Christensen, Anders B. Dahl, Vedrana Andersen Dahl |
| 2021 | FcaNet: Frequency Channel Attention Networks. Zequn Qin, Pengyi Zhang, Fei Wu, Xi Li |
| 2021 | Feature Importance-aware Transferable Adversarial Attacks. Zhibo Wang, Hengchang Guo, Zhifei Zhang, Wenxin Liu, Zhan Qin, Kui Ren |
| 2021 | Feature Interactive Representation for Point Cloud Registration. Bingli Wu, Jie Ma, Gaojie Chen, Pei An |
| 2021 | Federated Learning for Non-IID Data via Unified Feature Learning and Optimization Objective Alignment. Lin Zhang, Yong Luo, Yan Bai, Bo Du, Ling-Yu Duan |
| 2021 | Few-Shot Semantic Segmentation with Cyclic Memory Network. Guo-Sen Xie, Huan Xiong, Jie Liu, Yazhou Yao, Ling Shao |
| 2021 | Few-Shot Visual Relationship Co-Localization. Revant Teotia, Vaibhav Mishra, Mayank Maheshwari, Anand Mishra |
| 2021 | Few-Shot and Continual Learning with Attentive Independent Mechanisms. Eugene Lee, Cheng-Han Huang, Chen-Yi Lee |
| 2021 | Few-shot Image Classification: Just Use a Library of Pre-trained Feature Extractors and a Simple Classifier. Arkabandhu Chowdhury, Mingchao Jiang, Swarat Chaudhuri, Chris Jermaine |
| 2021 | Field Convolutions for Surface CNNs. Thomas W. Mitchel, Vladimir G. Kim, Michael Kazhdan |
| 2021 | Field of Junctions: Extracting Boundary Structure at Low SNR. Dor Verbin, Todd E. Zickler |
| 2021 | Field-Guide-Inspired Zero-Shot Learning. Utkarsh Mall, Bharath Hariharan, Kavita Bala |
| 2021 | Finding Representative Interpretations on Convolutional Neural Networks. Peter Cho-Ho Lam, Lingyang Chu, Maxim Torgonskiy, Jian Pei, Yong Zhang, Lanjun Wang |
| 2021 | Fine-grained Semantics-aware Representation Enhancement for Self-supervised Monocular Depth Estimation. Hyunyoung Jung, Eunhyeok Park, Sungjoo Yoo |
| 2021 | FloW: A Dataset and Benchmark for Floating Waste Detection in Inland Waters. Yuwei Cheng, Jiannan Zhu, Mengxin Jiang, Jie Fu, Changsong Pang, Peidong Wang, Kris Sankaran, Olawale Onabola, Yimin Liu, Dianbo Liu, Yoshua Bengio |
| 2021 | FloorPlanCAD: A Large-Scale CAD Drawing Dataset for Panoptic Symbol Spotting. Zhiwen Fan, Lingjie Zhu, Honghua Li, Xiaohao Chen, Siyu Zhu, Ping Tan |
| 2021 | Flow-Guided Video Inpainting with Scene Templates. Dong Lao, Peihao Zhu, Peter Wonka, Ganesh Sundaramoorthi |
| 2021 | Focal Frequency Loss for Image Reconstruction and Synthesis. Liming Jiang, Bo Dai, Wayne Wu, Chen Change Loy |
| 2021 | Focus on the Positives: Self-Supervised Learning for Biodiversity Monitoring. Omiros Pantazis, Gabriel J. Brostow, Kate E. Jones, Oisin Mac Aodha |
| 2021 | Fog Simulation on Real LiDAR Point Clouds for 3D Object Detection in Adverse Weather. Martin Hahner, Christos Sakaridis, Dengxin Dai, Luc Van Gool |
| 2021 | Fooling LiDAR Perception via Adversarial Trajectory Perturbation. Yiming Li, Congcong Wen, Felix Juefei-Xu, Chen Feng |
| 2021 | Foreground Activation Maps for Weakly Supervised Object Localization. Meng Meng, Tianzhu Zhang, Qi Tian, Yongdong Zhang, Feng Wu |
| 2021 | Foreground-Action Consistency Network for Weakly Supervised Temporal Action Localization. Linjiang Huang, Liang Wang, Hongsheng Li |
| 2021 | Fourier Space Losses for Efficient Perceptual Image Super-Resolution. Dario Fuoli, Luc Van Gool, Radu Timofte |
| 2021 | Free-form Description Guided 3D Visual Graph Network for Object Grounding in Point Cloud. Mingtao Feng, Zhen Li, Qi Li, Liang Zhang, Xiangdong Zhang, Guangming Zhu, Hui Zhang, Yaonan Wang, Ajmal Mian |
| 2021 | Frequency Domain Image Translation: More Photo-realistic, Better Identity-preserving. Mu Cai, Hong Zhang, Huijuan Huang, Qichuan Geng, Yixuan Li, Gao Huang |
| 2021 | Frequency-Aware Spatiotemporal Transformers for Video Inpainting Detection. Bingyao Yu, Wanhua Li, Xiu Li, Jiwen Lu, Jie Zhou |
| 2021 | From Contexts to Locality: Ultra-high Resolution Image Segmentation via Locality-aware Contextual Correlation. Qi Li, Weixiang Yang, Wenxi Liu, Yuanlong Yu, Shengfeng He |
| 2021 | From Continuity to Editability: Inverting GANs with Consecutive Images. Yangyang Xu, Yong Du, Wenpeng Xiao, Xuemiao Xu, Shengfeng He |
| 2021 | From Culture to Clothing: Discovering the World Events Behind A Century of Fashion Images. Wei-Lin Hsiao, Kristen Grauman |
| 2021 | From General to Specific: Informative Scene Graph Generation via Balance Adjustment. Yuyu Guo, Lianli Gao, Xuanhan Wang, Yuxuan Hu, Xing Xu, Xu Lu, Heng Tao Shen, Jingkuan Song |
| 2021 | From Goals, Waypoints & Paths To Long Term Human Trajectory Forecasting. Karttikeya Mangalam, Yang An, Harshayu Girase, Jitendra Malik |
| 2021 | From Two to One: A New Scene Text Recognizer with Visual Language Modeling Network. Yuxin Wang, Hongtao Xie, Shancheng Fang, Jing Wang, Shenggao Zhu, Yongdong Zhang |
| 2021 | Frozen in Time: A Joint Video and Image Encoder for End-to-End Retrieval. Max Bain, Arsha Nagrani, Gül Varol, Andrew Zisserman |
| 2021 | Full-Body Motion from a Single Head-Mounted Device: Generating SMPL Poses from Partial Observations. Andrea Dittadi, Sebastian Dziadzio, Darren Cosker, Ben Lundell, Thomas J. Cashman, Jamie Shotton |
| 2021 | Full-Duplex Strategy for Video Object Segmentation. Ge-Peng Ji, Keren Fu, Zhe Wu, Deng-Ping Fan, Jianbing Shen, Ling Shao |
| 2021 | Full-Velocity Radar Returns by Radar-Camera Fusion. Yunfei Long, Daniel D. Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan |
| 2021 | FuseFormer: Fusing Fine-Grained Information in Transformers for Video Inpainting. Rui Liu, Hanming Deng, Yangyi Huang, Xiaoyu Shi, Lewei Lu, Wenxiu Sun, Xiaogang Wang, Jifeng Dai, Hongsheng Li |
| 2021 | Fusion Moves for Graph Matching. Lisa Hutschenreiter, Stefan Haller, Lorenz Feineis, Carsten Rother, Dagmar Kainmüller, Bogdan Savchynskyy |
| 2021 | G-DetKD: Towards General Distillation Framework for Object Detectors via Contrastive and Semantic-guided Feature Imitation. Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang |
| 2021 | GAN Inversion for Out-of-Range Images with Geometric Transformations. Kyoungkook Kang, Seongtae Kim, Sunghyun Cho |
| 2021 | GAN-Control: Explicitly Controllable GANs. Alon Shoshan, Nadav Bhonker, Igor Kviatkovsky, Gérard G. Medioni |
| 2021 | GANcraft: Unsupervised 3D Neural Rendering of Minecraft Worlds. Zekun Hao, Arun Mallya, Serge J. Belongie, Ming-Yu Liu |
| 2021 | GDP: Stabilized Neural Network Pruning via Gates with Differentiable Polarization. Yi Guo, Huan Yuan, Jianchao Tan, Zhangyang Wang, Sen Yang, Ji Liu |
| 2021 | GLiT: Neural Architecture Search for Global and Local Image Transformer. Boyu Chen, Peixia Li, Chuming Li, Baopu Li, Lei Bai, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang |
| 2021 | GLoRIA: A Multimodal Global-Local Representation Learning Framework for Label-efficient Medical Image Recognition. Shih-Cheng Huang, Liyue Shen, Matthew P. Lungren, Serena Yeung |
| 2021 | GNeRF: GAN-based Neural Radiance Field without Posed Camera. Quan Meng, Anpei Chen, Haimin Luo, Minye Wu, Hao Su, Lan Xu, Xuming He, Jingyi Yu |
| 2021 | GP-S3Net: Graph-based Panoptic Sparse Semantic Segmentation Network. Ryan Razani, Ran Cheng, Enxu Li, Ehsan Taghavi, Yuan Ren, Bingbing Liu |
| 2021 | GRF: Learning a General Radiance Field for 3D Representation and Rendering. Alex Trevithick, Bo Yang |
| 2021 | GTT-Net: Learned Generalized Trajectory Triangulation. Xiangyu Xu, Enrique Dunn |
| 2021 | Gait Recognition via Effective Global-Local Feature Representation and Local Temporal Aggregation. Beibei Lin, Shunli Zhang, Xin Yu |
| 2021 | GarmentNets: Category-Level Pose Estimation for Garments via Canonical Space Shape Completion. Cheng Chi, Shuran Song |
| 2021 | Gated3D: Monocular 3D Object Detection From Temporal Illumination Cues. Frank D. Julca-Aguilar, Jason Taylor, Mario Bijelic, Fahim Mannan, Ethan Tseng, Felix Heide |
| 2021 | Gaussian Fusion: Accurate 3D Reconstruction via Geometry-Guided Displacement Interpolation. Duo Chen, Zixin Tang, Zhenyu Xu, Yunan Zheng, Yiguang Liu |
| 2021 | Generalizable Mixed-Precision Quantization via Attribution Rank Preservation. Ziwei Wang, Han Xiao, Jiwen Lu, Jie Zhou |
| 2021 | Generalize then Adapt: Source-Free Domain Adaptive Semantic Segmentation. Jogendra Nath Kundu, Akshay R. Kulkarni, Amit Singh, Varun Jampani, R. Venkatesh Babu |
| 2021 | Generalized Shuffled Linear Regression. Feiran Li, Kent Fujiwara, Fumio Okura, Yasuyuki Matsushita |
| 2021 | Generalized Source-free Domain Adaptation. Shiqi Yang, Yaxing Wang, Joost van de Weijer, Luis Herranz, Shangling Jui |
| 2021 | Generalized and Incremental Few-Shot Learning by Explicit Learning and Calibration without Forgetting. Anna Kukleva, Hilde Kuehne, Bernt Schiele |
| 2021 | Generalizing Gaze Estimation with Outlier-guided Collaborative Adaptation. Yunfei Liu, Ruicong Liu, Haofei Wang, Feng Lu |
| 2021 | Generating Attribution Maps with Disentangled Masked Backpropagation. Adria Ruiz, Antonio Agudo, Francesc Moreno-Noguer |
| 2021 | Generating Masks from Boxes by Mining Spatio-Temporal Consistencies in Videos. Bin Zhao, Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | Generating Smooth Pose Sequences for Diverse Human Motion Prediction. Wei Mao, Miaomiao Liu, Mathieu Salzmann |
| 2021 | Generative Adversarial Registration for Improved Conditional Deformable Templates. Neel Dey, Mengwei Ren, Adrian V. Dalca, Guido Gerig |
| 2021 | Generative Compositional Augmentations for Scene Graph Prediction. Boris Knyazev, Harm de Vries, Catalina Cangea, Graham W. Taylor, Aaron C. Courville, Eugene Belilovsky |
| 2021 | Generative Layout Modeling using Constraint Graphs. Wamiq Para, Paul Guerrero, Tom Kelly, Leonidas J. Guibas, Peter Wonka |
| 2021 | Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers. Hila Chefer, Shir Gur, Lior Wolf |
| 2021 | Generic Event Boundary Detection: A Benchmark for Event Segmentation. Mike Zheng Shou, Stan Weixian Lei, Weiyao Wang, Deepti Ghadiyaram, Matt Feiszli |
| 2021 | Geography-Aware Self-Supervised Learning. Kumar Ayush, Burak Uzkent, Chenlin Meng, Kumar Tanmay, Marshall Burke, David B. Lobell, Stefano Ermon |
| 2021 | GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition. Xuan Son Nguyen |
| 2021 | Geometric Deep Neural Network using Rigid and Non-Rigid Transformations for Human Action Recognition. Rasha Friji, Hassen Drira, Faten Chaieb, Hamza Kchok, Sebastian Kurtek |
| 2021 | Geometric Granularity Aware Pixel-to-Mesh. Yue Shi, Bingbing Ni, Jinxian Liu, Dingyi Rong, Ye Qian, Wenjun Zhang |
| 2021 | Geometric Unsupervised Domain Adaptation for Semantic Segmentation. Vitor Guizilini, Jie Li, Rares Ambrus, Adrien Gaidon |
| 2021 | Geometry Uncertainty Projection Network for Monocular 3D Object Detection. Yan Lu, Xinzhu Ma, Lei Yang, Tianzhu Zhang, Yating Liu, Qi Chu, Junjie Yan, Wanli Ouyang |
| 2021 | Geometry-Aware Self-Training for Unsupervised Domain Adaptation on Object Point Clouds. Longkun Zou, Hui Tang, Ke Chen, Kui Jia |
| 2021 | Geometry-Free View Synthesis: Transformers and no 3D Priors. Robin Rombach, Patrick Esser, Björn Ommer |
| 2021 | Geometry-based Distance Decomposition for Monocular 3D Object Detection. Xuepeng Shi, Qi Ye, Xiaozhi Chen, Chuangrong Chen, Zhixiang Chen, Tae-Kyun Kim |
| 2021 | GistNet: a Geometric Structure Transfer Network for Long-Tailed Recognition. Bo Liu, Haoxiang Li, Hao Kang, Gang Hua, Nuno Vasconcelos |
| 2021 | Glimpse-Attend-and-Explore: Self-Attention for Active Visual Exploration. Soroush Seifi, Abhishek Jha, Tinne Tuytelaars |
| 2021 | Global Pooling, More than Meets the Eye: Position Information is Encoded Channel-Wise in CNNs. Md. Amirul Islam, Matthew Kowal, Sen Jia, Konstantinos G. Derpanis, Neil D. B. Bruce |
| 2021 | Globally Optimal and Efficient Manhattan Frame Estimation by Delimiting Rotation Search Space. Wuwei Ge, Yu Song, Baichao Zhang, Zehua Dong |
| 2021 | Going deeper with Image Transformers. Hugo Touvron, Matthieu Cord, Alexandre Sablayrolles, Gabriel Synnaeve, Hervé Jégou |
| 2021 | Gradient Distribution Alignment Certificates Better Adversarial Domain Adaptation. Zhiqiang Gao, Shufei Zhang, Kaizhu Huang, Qiufeng Wang, Chaoliang Zhong |
| 2021 | Gradient Normalization for Generative Adversarial Networks. Yi-Lun Wu, Hong-Han Shuai, Zhi Rui Tam, Hong-Yu Chiu |
| 2021 | Grafit: Learning fine-grained image representations with coarse labels. Hugo Touvron, Alexandre Sablayrolles, Matthijs Douze, Matthieu Cord, Hervé Jégou |
| 2021 | Graph Constrained Data Representation Learning for Human Motion Segmentation. Mariella Dimiccoli, Lluís Garrido, Guillem Rodríguez Corominas, Herwig Wendt |
| 2021 | Graph Contrastive Clustering. Huasong Zhong, Jianlong Wu, Chong Chen, Jianqiang Huang, Minghua Deng, Liqiang Nie, Zhouchen Lin, Xian-Sheng Hua |
| 2021 | Graph-BAS Huimin Huang, Lanfen Lin, Yue Zhang, Yingying Xu, Jing Zheng, Xiongwei Mao, Xiaohan Qian, Zhiyi Peng, Jianying Zhou, Yen-Wei Chen, Ruofeng Tong |
| 2021 | Graph-Based 3D Multi-Person Pose Estimation Using Multi-View Images. Size Wu, Sheng Jin, Wentao Liu, Lei Bai, Chen Qian, Dong Liu, Wanli Ouyang |
| 2021 | Graph-based Asynchronous Event Processing for Rapid Object Recognition. Yijin Li, Han Zhou, Bangbang Yang, Ye Zhang, Zhaopeng Cui, Hujun Bao, Guofeng Zhang |
| 2021 | Graph-to-3D: End-to-End Generation and Manipulation of 3D Scenes Using Scene Graphs. Helisa Dhamo, Fabian Manhardt, Nassir Navab, Federico Tombari |
| 2021 | GraphFPN: Graph Feature Pyramid Network for Object Detection. Gangming Zhao, Weifeng Ge, Yizhou Yu |
| 2021 | Graspness Discovery in Clutters for Fast and Accurate Grasp Detection. Chenxi Wang, Haoshu Fang, Minghao Gou, Hongjie Fang, Jin Gao, Cewu Lu |
| 2021 | Gravity-Aware Monocular 3D Human-Object Reconstruction. Rishabh Dabral, Soshi Shimada, Arjun Jain, Christian Theobalt, Vladislav Golyanik |
| 2021 | Greedy Gradient Ensemble for Robust Visual Question Answering. Xinzhe Han, Shuhui Wang, Chi Su, Qingming Huang, Qi Tian |
| 2021 | GridToPix: Training Embodied Agents with Minimal Supervision. Unnat Jain, Iou-Jen Liu, Svetlana Lazebnik, Aniruddha Kembhavi, Luca Weihs, Alexander G. Schwing |
| 2021 | Ground-truth or DAER: Selective Re-query of Secondary Information. Stephan J. Lemmer, Jason J. Corso |
| 2021 | Grounding Consistency: Distilling Spatial Common Sense for Precise Visual Relationship Detection. Markos Diomataris, Nikolaos Gkanatsios, Vassilis Pitsikalis, Petros Maragos |
| 2021 | Group-Free 3D Object Detection via Transformers. Ze Liu, Zheng Zhang, Yue Cao, Han Hu, Xin Tong |
| 2021 | Group-aware Contrastive Regression for Action Quality Assessment. Xumin Yu, Yongming Rao, Wenliang Zhao, Jiwen Lu, Jie Zhou |
| 2021 | Group-wise Inhibition based Feature Regularization for Robust Classification. Haozhe Liu, Haoqian Wu, Weicheng Xie, Feng Liu, Linlin Shen |
| 2021 | GroupFormer: Group Activity Recognition with Clustered Spatial-Temporal Transformer. Shuaicheng Li, Qianggang Cao, Lingbo Liu, Kunlin Yang, Shinan Liu, Jun Hou, Shuai Yi |
| 2021 | Guided Point Contrastive Learning for Semi-supervised Point Cloud Semantic Segmentation. Li Jiang, Shaoshuai Shi, Zhuotao Tian, Xin Lai, Shu Liu, Chi-Wing Fu, Jiaya Jia |
| 2021 | GyroFlow: Gyroscope-Guided Unsupervised Optical Flow Learning. Haipeng Li, Kunming Luo, Shuaicheng Liu |
| 2021 | H2O: A Benchmark for Visual Human-human Object Handover Analysis. Ruolin Ye, Wenqiang Xu, Zhendong Xue, Tutian Tang, Yanfeng Wang, Cewu Lu |
| 2021 | H2O: Two Hands Manipulating Objects for First Person Interaction Recognition. Taein Kwon, Bugra Tekin, Jan Stühmer, Federica Bogo, Marc Pollefeys |
| 2021 | H3D-Net: Few-Shot High-Fidelity 3D Head Reconstruction. Eduard Ramon, Gil Triginer, Janna Escur, Albert Pumarola, Jaime García, Xavier Giró-i-Nieto, Francesc Moreno-Noguer |
| 2021 | HAA500: Human-Centric Atomic Action Dataset with Curated Videos. Jihoon Chung, Cheng-hsin Wuu, Hsuan-Ru Yang, Yu-Wing Tai, Chi-Keung Tang |
| 2021 | HAIR: Hierarchical Visual-Semantic Relational Reasoning for Video Question Answering. Fei Liu, Jing Liu, Weining Wang, Hanqing Lu |
| 2021 | HDR Video Reconstruction: A Coarse-to-fine Network and A Real-world Benchmark Dataset. Guanying Chen, Chaofeng Chen, Shi Guo, Zhetong Liang, Kwan-Yee K. Wong, Lei Zhang |
| 2021 | HIRE-SNN: Harnessing the Inherent Robustness of Energy-Efficient Deep Spiking Neural Networks by Training with Crafted Input Noise. Souvik Kundu, Massoud Pedram, Peter A. Beerel |
| 2021 | HPNet: Deep Primitive Segmentation Using Hybrid Representations. Siming Yan, Zhenpei Yang, Chongyang Ma, Haibin Huang, Etienne Vouga, Qixing Huang |
| 2021 | HRegNet: A Hierarchical Network for Large-scale Outdoor LiDAR Point Cloud Registration. Fan Lu, Guang Chen, Yinlong Liu, Lijun Zhang, Sanqing Qu, Shu Liu, Rongqi Gu |
| 2021 | Hand Image Understanding via Deep Multi-Task Learning. Xiong Zhang, Hongsheng Huang, Jianchao Tan, Hongmin Xu, Cheng Yang, Guozhu Peng, Lei Wang, Ji Liu |
| 2021 | Hand-Object Contact Consistency Reasoning for Human Grasps Generation. Hanwen Jiang, Shaowei Liu, Jiashun Wang, Xiaolong Wang |
| 2021 | HandFoldingNet: A 3D Hand Pose Estimation Network Using Multiscale-Feature Guided Folding of a 2D Hand Skeleton. Wencan Cheng, Jae Hyun Park, Jong Hwan Ko |
| 2021 | Handwriting Transformers. Ankan Kumar Bhunia, Salman H. Khan, Hisham Cholakkal, Rao Muhammad Anwer, Fahad Shahbaz Khan, Mubarak Shah |
| 2021 | Harnessing the Conditioning Sensorium for Improved Image Translation. Cooper Nederhood, Nicholas I. Kolkin, Deqing Fu, Jason Salavon |
| 2021 | HeadGAN: One-shot Neural Head Synthesis and Editing. Michail Christos Doukas, Stefanos Zafeiriou, Viktoriia Sharmanska |
| 2021 | Heterogeneous Relational Complement for Vehicle Re-identification. Jiajian Zhao, Yifan Zhao, Jia Li, Ke Yan, Yonghong Tian |
| 2021 | HiFT: Hierarchical Feature Transformer for Aerial Tracking. Ziang Cao, Changhong Fu, Junjie Ye, Bowen Li, Yiming Li |
| 2021 | HiNet: Deep Image Hiding by Invertible Network. Junpeng Jing, Xin Deng, Mai Xu, Jianyi Wang, Zhenyu Guan |
| 2021 | HiT: Hierarchical Transformer with Momentum Contrast for Video-Text Retrieval. Song Liu, Haoqi Fan, Shengsheng Qian, Yiru Chen, Wenkui Ding, Zhongyuan Wang |
| 2021 | Hierarchical Aggregation for 3D Instance Segmentation. Shaoyu Chen, Jiemin Fang, Qian Zhang, Wenyu Liu, Xinggang Wang |
| 2021 | Hierarchical Conditional Flow: A Unified Framework for Image Super-Resolution and Image Rescaling. Jingyun Liang, Andreas Lugmayr, Kai Zhang, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | Hierarchical Disentangled Representation Learning for Outdoor Illumination Estimation and Editing. Piaopiao Yu, Jie Guo, Fan Huang, Cheng Zhou, Hongwei Che, Xiao Ling, Yanwen Guo |
| 2021 | Hierarchical Graph Attention Network for Few-shot Visual-Semantic Learning. Chengxiang Yin, Kun Wu, Zhengping Che, Bo Jiang, Zhiyuan Xu, Jian Tang |
| 2021 | Hierarchical Kinematic Probability Distributions for 3D Human Shape and Pose Estimation from Images in the Wild. Akash Sengupta, Ignas Budvytis, Roberto Cipolla |
| 2021 | Hierarchical Memory Matching Network for Video Object Segmentation. Hongje Seong, Seoung Wug Oh, Joon-Young Lee, Seongwon Lee, Suhyeon Lee, Euntai Kim |
| 2021 | Hierarchical Object-to-Zone Graph for Object Navigation. Sixian Zhang, Xinhang Song, Yubing Bai, Weijie Li, Yakui Chu, Shuqiang Jiang |
| 2021 | High Quality Disparity Remapping with Two-Stage Warping. Bing Li, Chia-Wen Lin, Cheng Zheng, Shan Liu, Junsong Yuan, Bernard Ghanem, C.-C. Jay Kuo |
| 2021 | High-Fidelity Pluralistic Image Completion with Transformers. Ziyu Wan, Jingbo Zhang, Dongdong Chen, Jing Liao |
| 2021 | High-Performance Discriminative Tracking with Transformers. Bin Yu, Ming Tang, Linyu Zheng, Guibo Zhu, Jinqiao Wang, Hao Feng, Xuetao Feng, Hanqing Lu |
| 2021 | High-Resolution Optical Flow from 1D Attention and Correlation. Haofei Xu, Jiaolong Yang, Jianfei Cai, Juyong Zhang, Xin Tong |
| 2021 | HighlightMe: Detecting Highlights from Human-Centric Videos. Uttaran Bhattacharya, Gang Wu, Stefano Petrangeli, Viswanathan Swaminathan, Dinesh Manocha |
| 2021 | Holistic Pose Graph: Modeling Geometric Structure among Objects in a Scene using Graph Inference for 3D Object Prediction. Jiwei Xiao, Ruiping Wang, Xilin Chen |
| 2021 | Homogeneous Architecture Augmentation for Neural Predictor. Yuqiao Liu, Yehui Tang, Yanan Sun |
| 2021 | How Shift Equivariance Impacts Metric Learning for Instance Segmentation. Josef Lorenz Rumberger, Xiaoyan Yu, Peter Hirsch, Melanie Dohmen, Vanessa Emanuela Guarino, Ashkan Mokarian, Lisa Mais, Jan Funke, Dagmar Kainmueller |
| 2021 | How to Design a Three-Stage Architecture for Audio-Visual Active Speaker Detection in the Wild. Okan Köpüklü, Maja Taseska, Gerhard Rigoll |
| 2021 | How to Train Neural Networks for Flare Removal. Yicheng Wu, Qiurui He, Tianfan Xue, Rahul Garg, Jiawen Chen, Ashok Veeraraghavan, Jonathan T. Barron |
| 2021 | HuMoR: 3D Human Motion Model for Robust Pose Estimation. Davis Rempe, Tolga Birdal, Aaron Hertzmann, Jimei Yang, Srinath Sridhar, Leonidas J. Guibas |
| 2021 | Human Detection and Segmentation via Multi-view Consensus. Isinsu Katircioglu, Helge Rhodin, Jörg Spörri, Mathieu Salzmann, Pascal Fua |
| 2021 | Human Pose Regression with Residual Log-likelihood Estimation. Jiefeng Li, Siyuan Bian, Ailing Zeng, Can Wang, Bo Pang, Wentao Liu, Cewu Lu |
| 2021 | Human Trajectory Prediction via Counterfactual Analysis. Guangyi Chen, Junlong Li, Jiwen Lu, Jie Zhou |
| 2021 | Hybrid Neural Fusion for Full-frame Video Stabilization. Yu-Lun Liu, Wei-Sheng Lai, Ming-Hsuan Yang, Yung-Yu Chuang, Jia-Bin Huang |
| 2021 | Hypercorrelation Squeeze for Few-Shot Segmenation. Juhong Min, Dahyun Kang, Minsu Cho |
| 2021 | Hypergraph Neural Networks for Hypergraph Matching. Xiaowei Liao, Yong Xu, Haibin Ling |
| 2021 | Hypersim: A Photorealistic Synthetic Dataset for Holistic Indoor Scene Understanding. Mike Roberts, Jason Ramapuram, Anurag Ranjan, Atulit Kumar, Miguel Ángel Bautista, Nathan Paczan, Russ Webb, Joshua M. Susskind |
| 2021 | Hyperspectral Image Denoising with Realistic Data. Tao Zhang, Ying Fu, Cheng Li |
| 2021 | I2UV-HandNet: Image-to-UV Prediction Network for Accurate and High-fidelity 3D Hand Mesh Modeling. Ping Chen, Yujin Chen, Dong Yang, Fangyin Wu, Qin Li, Qingpei Xia, Yong Tan |
| 2021 | ICE: Inter-instance Contrastive Encoding for Unsupervised Person Re-identification. Hao Chen, Benoit Lagadec, François Brémond |
| 2021 | ICON: Learning Regular Maps Through Inverse Consistency. Thomas Hastings Greer, Roland Kwitt, François-Xavier Vialard, Marc Niethammer |
| 2021 | ID-Reveal: Identity-aware DeepFake Video Detection. Davide Cozzolino, Andreas Rössler, Justus Thies, Matthias Nießner, Luisa Verdoliva |
| 2021 | IDARTS: Interactive Differentiable Architecture Search. Song Xue, Runqi Wang, Baochang Zhang, Tian Wang, Guodong Guo, David S. Doermann |
| 2021 | IDM: An Intermediate Domain Module for Domain Adaptive Person Re-ID. Yongxing Dai, Jun Liu, Yifan Sun, Zekun Tong, Chi Zhang, Ling-Yu Duan |
| 2021 | IICNet: A Generic Framework for Reversible Image Conversion. Ka Leong Cheng, Yueqi Xie, Qifeng Chen |
| 2021 | ILVR: Conditioning Method for Denoising Diffusion Probabilistic Models. Jooyoung Choi, Sungwon Kim, Yonghyun Jeong, Youngjune Gwon, Sungroh Yoon |
| 2021 | ISD: Self-Supervised Learning by Iterative Similarity Distillation. Ajinkya Tejankar, Soroush Abbasi Koohpayegani, Vipin Pillai, Paolo Favaro, Hamed Pirsiavash |
| 2021 | ISNet: Integrate Image-Level and Semantic-Level Context for Semantic Segmentation. Zhenchao Jin, Bin Liu, Qi Chu, Nenghai Yu |
| 2021 | Image Harmonization with Transformer. Zonghui Guo, Dongsheng Guo, Haiyong Zheng, Zhaorui Gu, Bing Zheng, Junyu Dong |
| 2021 | Image Inpainting via Conditional Texture and Structure Dual Generation. Xiefan Guo, Hongyu Yang, Di Huang |
| 2021 | Image Manipulation Detection by Multi-View Multi-Scale Supervision. Xinru Chen, Chengbo Dong, Jiaqi Ji, Juan Cao, Xirong Li |
| 2021 | Image Retrieval on Real-life Images with Pre-trained Vision-and-Language Models. Zheyuan Liu, Cristian Rodriguez Opazo, Damien Teney, Stephen Gould |
| 2021 | Image Shape Manipulation from a Single Augmented Training Sample. Yael Vinker, Eliahu Horwitz, Nir Zabari, Yedid Hoshen |
| 2021 | Image Synthesis from Layout with Locality-Aware Mask Adaption. Zejian Li, Jingyu Wu, Immanuel Koh, Yongchuan Tang, Lingyun Sun |
| 2021 | Image Synthesis via Semantic Composition. Yi Wang, Lu Qi, Ying-Cong Chen, Xiangyu Zhang, Jiaya Jia |
| 2021 | Image2Reverb: Cross-Modal Reverb Impulse Response Synthesis. Nikhil Singh, Jeff Mentch, Jerry Ng, Matthew Beveridge, Iddo Drori |
| 2021 | Impact of Aliasing on Generalization in Deep Convolutional Networks. Cristina Nader Vasconcelos, Hugo Larochelle, Vincent Dumoulin, Rob Romijnders, Nicolas Le Roux, Ross Goroshin |
| 2021 | Improve Unsupervised Pretraining for Few-label Transfer. Suichan Li, Dongdong Chen, Yinpeng Chen, Lu Yuan, Lei Zhang, Qi Chu, Bin Liu, Nenghai Yu |
| 2021 | Improving 3D Object Detection with Channel-wise Transformer. Hualian Sheng, Sijia Cai, Yuan Liu, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Min-Jian Zhao |
| 2021 | Improving Contrastive Learning by Visualizing Feature Transformation. Rui Zhu, Bingchen Zhao, Jingen Liu, Zhenglong Sun, Chang Wen Chen |
| 2021 | Improving De-raining Generalization via Neural Reorganization. Jie Xiao, Man Zhou, Xueyang Fu, Aiping Liu, Zheng-Jun Zha |
| 2021 | Improving Generalization of Batch Whitening by Convolutional Unit Optimization. Yooshin Cho, Hanbyel Cho, Youngsoo Kim, Junmo Kim |
| 2021 | Improving Low-Precision Network Quantization via Bin Regularization. Tiantian Han, Dong Li, Ji Liu, Lu Tian, Yi Shan |
| 2021 | Improving Neural Network Efficiency via Post-training Quantization with Adaptive Floating-Point. Fangxin Liu, Wenbo Zhao, Zhezhi He, Yanzhi Wang, Zongwu Wang, Changzhi Dai, Xiaoyao Liang, Li Jiang |
| 2021 | Improving Robustness of Facial Landmark Detection by Defending against Adversarial Attacks. Congcong Zhu, Xiaoqiang Li, Jide Li, Songmin Dai |
| 2021 | Improving robustness against common corruptions with frequency biased models. Tonmoy Saikia, Cordelia Schmid, Thomas Brox |
| 2021 | In Defense of Scene Graphs for Image Captioning. Kien Nguyen, Subarna Tripathi, Bang Du, Tanaya Guha, Truong Q. Nguyen |
| 2021 | In-Place Scene Labelling and Understanding with Implicit Scene Representation. Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison |
| 2021 | In-the-Wild Single Camera 3D Reconstruction Through Moving Water Surfaces. Jinhui Xiong, Wolfgang Heidrich |
| 2021 | InSeGAN: A Generative Approach to Segmenting Identical Instances in Depth Images. Anoop Cherian, Gonçalo Dias Pais, Siddarth Jain, Tim K. Marks, Alan Sullivan |
| 2021 | Incorporating Convolution Designs into Visual Transformers. Kun Yuan, Shaopeng Guo, Ziwei Liu, Aojun Zhou, Fengwei Yu, Wei Wu |
| 2021 | Incorporating Learnable Membrane Time Constant to Enhance Learning of Spiking Neural Networks. Wei Fang, Zhaofei Yu, Yanqi Chen, Timothée Masquelier, Tiejun Huang, Yonghong Tian |
| 2021 | Indoor Scene Generation from a Collection of Semantic-Segmented Depth Images. Mingjia Yang, Yu-Xiao Guo, Bin Zhou, Xin Tong |
| 2021 | Inference of Black Hole Fluid-Dynamics from Sparse Interferometric Measurements. Aviad Levis, Daeyoung Lee, Joel A. Tropp, Charles F. Gammie, Katherine L. Bouman |
| 2021 | Inferring high-resolution traffic accident risk maps based on satellite imagery and GPS trajectories. Songtao He, Mohammad Amin Sadeghi, Sanjay Chawla, Mohammad Alizadeh, Hari Balakrishnan, Samuel Madden |
| 2021 | Infinite Nature: Perpetual View Generation of Natural Scenes from a Single Image. Andrew Liu, Ameesh Makadia, Richard Tucker, Noah Snavely, Varun Jampani, Angjoo Kanazawa |
| 2021 | Influence Selection for Active Learning. Zhuoming Liu, Hao Ding, Huaping Zhong, Weijia Li, Jifeng Dai, Conghui He |
| 2021 | Influence-Balanced Loss for Imbalanced Visual Classification. Seulki Park, Jongin Lim, Younghan Jeon, Jin Young Choi |
| 2021 | Information-theoretic regularization for Multi-source Domain Adaptation. Geon Yeong Park, Sang Wan Lee |
| 2021 | Instance Segmentation in 3D Scenes using Semantic Superpoint Tree Networks. Zhihao Liang, Zhihao Li, Songcen Xu, Mingkui Tan, Kui Jia |
| 2021 | Instance Similarity Learning for Unsupervised Feature Representation. Ziwei Wang, Yunsong Wang, Ziyi Wu, Jiwen Lu, Jie Zhou |
| 2021 | Instance-level Image Retrieval using Reranking Transformers. Fuwen Tan, Jiangbo Yuan, Vicente Ordonez |
| 2021 | Instance-wise Hard Negative Example Generation for Contrastive Learning in Unpaired Image-to-Image Translation. Weilun Wang, Wengang Zhou, Jianmin Bao, Dong Chen, Houqiang Li |
| 2021 | InstanceRefer: Cooperative Holistic Understanding for Visual Grounding on Point Clouds through Instance Multi-level Contextual Referring. Zhihao Yuan, Xu Yan, Yinghong Liao, Ruimao Zhang, Sheng Wang, Zhen Li, Shuguang Cui |
| 2021 | Instances as Queries. Yuxin Fang, Shusheng Yang, Xinggang Wang, Yu Li, Chen Fang, Ying Shan, Bin Feng, Wenyu Liu |
| 2021 | Integer-arithmetic-only Certified Robustness for Quantized Neural Networks. Haowen Lin, Jian Lou, Li Xiong, Cyrus Shahabi |
| 2021 | Interacting Two-Hand 3D Pose and Shape Reconstruction from Single Color Image. Baowen Zhang, Yangang Wang, Xiaoming Deng, Yinda Zhang, Ping Tan, Cuixia Ma, Hongan Wang |
| 2021 | Interaction Compass: Multi-Label Zero-Shot Learning of Human-Object Interactions via Spatial Relations. Dat Huynh, Ehsan Elhamifar |
| 2021 | Interaction via Bi-directional Graph of Semantic Region Affinity for Scene Parsing. Henghui Ding, Hui Zhang, Jun Liu, Jiaxin Li, Zijian Feng, Xudong Jiang |
| 2021 | Interactive Prototype Learning for Egocentric Action Recognition. Xiaohan Wang, Linchao Zhu, Heng Wang, Yi Yang |
| 2021 | Internal Video Inpainting by Implicit Long-range Propagation. Hao Ouyang, Tengfei Wang, Qifeng Chen |
| 2021 | Interpolation-Aware Padding for 3D Sparse Convolutional Neural Networks. Yu-Qi Yang, Peng-Shuai Wang, Yang Liu |
| 2021 | Interpretable Image Recognition by Constructing Transparent Embedding Space. Jiaqi Wang, Huafeng Liu, Xinyue Wang, Liping Jing |
| 2021 | Interpretable Visual Reasoning via Induced Symbolic Space. Zhonghao Wang, Kai Wang, Mo Yu, Jinjun Xiong, Wen-Mei Hwu, Mark Hasegawa-Johnson, Humphrey Shi |
| 2021 | Interpretation of Emergent Communication in Heterogeneous Collaborative Embodied Agents. Shivansh Patel, Saim Wani, Unnat Jain, Alexander G. Schwing, Svetlana Lazebnik, Manolis Savva, Angel X. Chang |
| 2021 | Interpreting Attributions and Interactions of Adversarial Attacks. Xin Wang, Shuyun Lin, Hao Zhang, Yufei Zhu, Quanshi Zhang |
| 2021 | IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction. Guangming Zang, Ramzi Idoughi, Rui Li, Peter Wonka, Wolfgang Heidrich |
| 2021 | Intrinsic-Extrinsic Preserved GANs for Unsupervised 3D Pose Transfer. Haoyu Chen, Hao Tang, Henglin Shi, Wei Peng, Nicu Sebe, Guoying Zhao |
| 2021 | Inverting a Rolling Shutter Camera: Bring Rolling Shutter Images to High Framerate Global Shutter Video. Bin Fan, Yuchao Dai |
| 2021 | Invisible Backdoor Attack with Sample-Specific Triggers. Yuezun Li, Yiming Li, Baoyuan Wu, Longkang Li, Ran He, Siwei Lyu |
| 2021 | Is Pseudo-Lidar needed for Monocular 3D Object detection? Dennis Park, Rares Ambrus, Vitor Guizilini, Jie Li, Adrien Gaidon |
| 2021 | Iterative label cleaning for transductive and semi-supervised few-shot learning. Michalis Lazarou, Tania Stathaki, Yannis Avrithis |
| 2021 | JEM++: Improved Techniques for Training JEM. Xiulong Yang, Shihao Ji |
| 2021 | Joint Audio-Visual Deepfake Detection. Yipin Zhou, Ser-Nam Lim |
| 2021 | Joint Inductive and Transductive Learning for Video Object Segmentation. Yunyao Mao, Ning Wang, Wengang Zhou, Houqiang Li |
| 2021 | Joint Representation Learning and Novel Category Discovery on Single- and Multi-modal Data. Xuhui Jia, Kai Han, Yukun Zhu, Bradley Green |
| 2021 | Joint Topology-preserving and Feature-refinement Network for Curvilinear Structure Segmentation. Mingfei Cheng, Kaili Zhao, Xuhong Guo, Yajing Xu, Jun Guo |
| 2021 | Joint Visual Semantic Reasoning: Multi-Stage Decoder for Text Recognition. Ayan Kumar Bhunia, Aneeshan Sain, Amandeep Kumar, Shuvozit Ghose, Pinaki Nath Chowdhury, Yi-Zhe Song |
| 2021 | Joint Visual and Audio Learning for Video Highlight Detection. Taivanbat Badamdorj, Mrigank Rochan, Yang Wang, Li Cheng |
| 2021 | Just Ask: Learning to Answer Questions from Millions of Narrated Videos. Antoine Yang, Antoine Miech, Josef Sivic, Ivan Laptev, Cordelia Schmid |
| 2021 | Just One Moment: Structural Vulnerability of Deep Action Recognition against One Frame Attack. Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, Jong-Seok Lee |
| 2021 | Just a Few Points are All You Need for Multi-view Stereo: A Novel Semi-supervised Learning Method for Multi-view Stereo. Taekyung Kim, Jaehoon Choi, Seokeon Choi, Dongki Jung, Changick Kim |
| 2021 | Keep CALM and Improve Visual Feature Attribution. Jae-Myung Kim, Junsuk Choe, Zeynep Akata, Seong Joon Oh |
| 2021 | Kernel Methods in Hyperbolic Spaces. Pengfei Fang, Mehrtash Harandi, Lars Petersson |
| 2021 | Keypoint Communities. Duncan Zauss, Sven Kreiss, Alexandre Alahi |
| 2021 | KiloNeRF: Speeding up Neural Radiance Fields with Thousands of Tiny MLPs. Christian Reiser, Songyou Peng, Yiyi Liao, Andreas Geiger |
| 2021 | Knowledge Mining and Transferring for Domain Adaptive Object Detection. Kun Tian, Chenghao Zhang, Ying Wang, Shiming Xiang, Chunhong Pan |
| 2021 | Knowledge-Enriched Distributional Model Inversion Attacks. Si Chen, Mostafa Kahla, Ruoxi Jia, Guo-Jun Qi |
| 2021 | KoDF: A Large-scale Korean DeepFake Detection Dataset. Patrick Kwon, Jaeseong You, Gyuhyeon Nam, Sungwoo Park, Gyeongsu Chae |
| 2021 | LFI-CAM: Learning Feature Importance for Better Visual Explanation. Kwang Hee Lee, Chaewon Park, Junghyun Oh, Nojun Kwak |
| 2021 | LIGA-Stereo: Learning LiDAR Geometry Aware Representations for Stereo-based 3D Detector. Xiaoyang Guo, Shaoshuai Shi, Xiaogang Wang, Hongsheng Li |
| 2021 | LIRA: Learnable, Imperceptible and Robust Backdoor Attacks. Khoa D. Doan, Yingjie Lao, Weijie Zhao, Ping Li |
| 2021 | LOKI: Long Term and Key Intentions for Trajectory Prediction. Harshayu Girase, Haiming Gang, Srikanth Malla, Jiachen Li, Akira Kanehara, Karttikeya Mangalam, Chiho Choi |
| 2021 | LSD-StructureNet: Modeling Levels of Structural Detail in 3D Part Hierarchies. Dominic Roberts, Ara Danielyan, Hang Chu, Mani Golparvar Fard, David A. Forsyth |
| 2021 | LSG-CPD: Coherent Point Drift with Local Surface Geometry for Point Cloud Registration. Weixiao Liu, Hongtao Wu, Gregory S. Chirikjian |
| 2021 | LaLaLoc: Latent Layout Localisation in Dynamic, Unvisited Environments. Henry Howard-Jenkins, José-Raúl Ruiz-Sarmiento, Victor Adrian Prisacariu |
| 2021 | LabOR: Labeling Only if Required for Domain Adaptive Semantic Segmentation. Inkyu Shin, Dong-Jin Kim, Jae-Won Cho, Sanghyun Woo, Kwanyong Park, In So Kweon |
| 2021 | Labels4Free: Unsupervised Segmentation using StyleGAN. Rameen Abdal, Peihao Zhu, Niloy J. Mitra, Peter Wonka |
| 2021 | Language-Guided Global Image Editing via Cross-Modal Cyclic Mechanism. Wentao Jiang, Ning Xu, Jiayun Wang, Chen Gao, Jing Shi, Zhe Lin, Si Liu |
| 2021 | LapsCore: Language-guided Person Search via Color Reasoning. Yushuang Wu, Zizheng Yan, Xiaoguang Han, Guanbin Li, Changqing Zou, Shuguang Cui |
| 2021 | Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Dataset. Scott Ettinger, Shuyang Cheng, Benjamin Caine, Chenxi Liu, Hang Zhao, Sabeek Pradhan, Yuning Chai, Ben Sapp, Charles R. Qi, Yin Zhou, Zoey Yang, Aurelien Chouard, Pei Sun, Jiquan Ngiam, Vijay Vasudevan, Alexander McCauley, Jonathon Shlens, Dragomir Anguelov |
| 2021 | Large Scale Multi-Illuminant (LSMI) Dataset for Developing White Balance Algorithm under Mixed Illumination. Dongyoung Kim, Jinwoo Kim, Seonghyeon Nam, Dongwoo Lee, Yeonkyung Lee, Nahyup Kang, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han, Seon Joo Kim |
| 2021 | Large-scale Robust Deep AUC Maximization: A New Surrogate Loss and Empirical Studies on Medical Image Classification. Zhuoning Yuan, Yan Yan, Milan Sonka, Tianbao Yang |
| 2021 | Latent Transformations via NeuralODEs for GAN-based Image Editing. Valentin Khrulkov, Leyla Mirvakhabova, Ivan V. Oseledets, Artem Babenko |
| 2021 | LatentCLR: A Contrastive Learning Approach for Unsupervised Discovery of Interpretable Directions. Oguz Kaan Yüksel, Enis Simsar, Ezgi Gülperi Er, Pinar Yanardag |
| 2021 | LayoutTransformer: Layout Generation and Completion with Self-attention. Kamal Gupta, Justin Lazarow, Alessandro Achille, Larry Davis, Vijay Mahadevan, Abhinav Shrivastava |
| 2021 | LeViT: a Vision Transformer in ConvNet's Clothing for Faster Inference. Benjamin Graham, Alaaeldin El-Nouby, Hugo Touvron, Pierre Stock, Armand Joulin, Hervé Jégou, Matthijs Douze |
| 2021 | Learn to Cluster Faces via Pairwise Classification. Junfu Liu, Di Qiu, Pengfei Yan, Xiaolin Wei |
| 2021 | Learn to Match: Automatic Matching Network Design for Visual Tracking. Zhipeng Zhang, Yihao Liu, Xiao Wang, Bing Li, Weiming Hu |
| 2021 | Learn-to-Race: A Multimodal Control Environment for Autonomous Racing. James Herman, Jonathan Francis, Siddha Ganju, Bingqing Chen, Anirudh Koul, Abhinav Gupta, Alexey Skabelkin, Ivan Zhukov, Max Kumskoy, Eric Nyberg |
| 2021 | Learnable Boundary Guided Adversarial Training. Jiequan Cui, Shu Liu, Liwei Wang, Jiaya Jia |
| 2021 | Learned Spatial Representations for Few-shot Talking-Head Synthesis. Moustafa Meshry, Saksham Suri, Larry S. Davis, Abhinav Shrivastava |
| 2021 | Learning A Single Network for Scale-Arbitrary Super-Resolution. Longguang Wang, Yingqian Wang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo |
| 2021 | Learning Action Completeness from Points for Weakly-supervised Temporal Action Localization. Pilhyeon Lee, Hyeran Byun |
| 2021 | Learning Anchored Unsigned Distance Functions with Gradient Direction Alignment for Single-view Garment Reconstruction. Fang Zhao, Wenhao Wang, Shengcai Liao, Ling Shao |
| 2021 | Learning Attribute-driven Disentangled Representations for Interactive Fashion Retrieval. Yuxin Hou, Eleonora Vig, Michael Donoser, Loris Bazzani |
| 2021 | Learning Better Visual Data Similarities via New Grouplet Non-Euclidean Embedding. Yanfu Zhang, Lei Luo, Wenhan Xian, Heng Huang |
| 2021 | Learning Bias-Invariant Representation by Cross-Sample Mutual Information Minimization. Wei Zhu, Haitian Zheng, Haofu Liao, Weijian Li, Jiebo Luo |
| 2021 | Learning Canonical 3D Object Representation for Fine-Grained Recognition. Sunghun Joung, Seungryong Kim, Minsu Kim, Ig-Jae Kim, Kwanghoon Sohn |
| 2021 | Learning Canonical View Representation for 3D Shape Recognition with Arbitrary Views. Xin Wei, Yifei Gong, Fudong Wang, Xing Sun, Jian Sun |
| 2021 | Learning Causal Representation for Training Cross-Domain Pose Estimator via Generative Interventions. Xiheng Zhang, Yongkang Wong, Xiaofei Wu, Juwei Lu, Mohan S. Kankanhalli, Xiangdong Li, Weidong Geng |
| 2021 | Learning Compatible Embeddings. Qiang Meng, Chixiang Zhang, Xiaoqiang Xu, Feng Zhou |
| 2021 | Learning Conditional Knowledge Distillation for Degraded-Reference Image Quality Assessment. Heliang Zheng, Huan Yang, Jianlong Fu, Zheng-Jun Zha, Jiebo Luo |
| 2021 | Learning Cross-Modal Contrastive Features for Video Domain Adaptation. Donghyun Kim, Yi-Hsuan Tsai, Bingbing Zhuang, Xiang Yu, Stan Sclaroff, Kate Saenko, Manmohan Chandraker |
| 2021 | Learning Deep Local Features with Multiple Dynamic Attentions for Large-Scale Image Retrieval. Hui Wu, Min Wang, Wengang Zhou, Houqiang Li |
| 2021 | Learning Dual Priors for JPEG Compression Artifacts Removal. Xueyang Fu, Xi Wang, Aiping Liu, Junwei Han, Zheng-Jun Zha |
| 2021 | Learning Dynamic Interpolation for Extremely Sparse Light Fields with Wide Baselines. Mantang Guo, Jing Jin, Hui Liu, Junhui Hou |
| 2021 | Learning Efficient Photometric Feature Transform for Multi-view Stereo. Kaizhang Kang, Cihui Xie, Ruisheng Zhu, Xiaohe Ma, Ping Tan, Hongzhi Wu, Kun Zhou |
| 2021 | Learning Facial Representations from the Cycle-consistency of Face. Jia-Ren Chang, Yong-Sheng Chen, Wei-Chen Chiu |
| 2021 | Learning Fast Sample Re-weighting Without Reward Data. Zizhao Zhang, Tomas Pfister |
| 2021 | Learning Frequency-aware Dynamic Network for Efficient Super-Resolution. Wenbin Xie, Dehua Song, Chang Xu, Chunjing Xu, Hui Zhang, Yunhe Wang |
| 2021 | Learning Generative Models of Textured 3D Meshes from Real-World Images. Dario Pavllo, Jonas Kohler, Thomas Hofmann, Aurélien Lucchi |
| 2021 | Learning Hierarchical Graph Neural Networks for Image Clustering. Yifan Xing, Tong He, Tianjun Xiao, Yongxin Wang, Yuanjun Xiong, Wei Xia, David Wipf, Zheng Zhang, Stefano Soatto |
| 2021 | Learning High-Fidelity Face Texture Completion without Complete Face Texture. Jongyoo Kim, Jiaolong Yang, Xin Tong |
| 2021 | Learning Icosahedral Spherical Probability Map Based on Bingham Mixture Model for Vanishing Point Estimation. Haoang Li, Kai Chen, Pyojin Kim, Kuk-Jin Yoon, Zhe Liu, Kyungdon Joo, Yun-Hui Liu |
| 2021 | Learning Indoor Inverse Rendering with 3D Spatially-Varying Lighting. Zian Wang, Jonah Philion, Sanja Fidler, Jan Kautz |
| 2021 | Learning Inner-Group Relations on Point Clouds. Haoxi Ran, Wei Zhuo, Jun Liu, Li Lu |
| 2021 | Learning Instance-level Spatial-Temporal Patterns for Person Re-identification. Min Ren, Lingxiao He, Xingyu Liao, Wu Liu, Yunlong Wang, Tieniu Tan |
| 2021 | Learning Latent Architectural Distribution in Differentiable Neural Architecture Search via Variational Information Maximization. Yaoming Wang, Yuchen Liu, Wenrui Dai, Chenglin Li, Junni Zou, Hongkai Xiong |
| 2021 | Learning Meta-class Memory for Few-Shot Semantic Segmentation. Zhonghua Wu, Xiangxi Shi, Guosheng Lin, Jianfei Cai |
| 2021 | Learning Motion Priors for 4D Human Body Capture in 3D Scenes. Siwei Zhang, Yan Zhang, Federica Bogo, Marc Pollefeys, Siyu Tang |
| 2021 | Learning Motion-Appearance Co-Attention for Zero-Shot Video Object Segmentation. Shu Yang, Lu Zhang, Jinqing Qi, Huchuan Lu, Shuo Wang, Xiaoxing Zhang |
| 2021 | Learning Multi-Scene Absolute Pose Regression with Transformers. Yoli Shavit, Ron Ferens, Yosi Keller |
| 2021 | Learning Multiple Pixelwise Tasks Based on Loss Scale Balancing. Jae-Han Lee, Chul Lee, Chang-Su Kim |
| 2021 | Learning Object-Compositional Neural Radiance Field for Editable Scene Rendering. Bangbang Yang, Yinda Zhang, Yinghao Xu, Yijin Li, Han Zhou, Hujun Bao, Guofeng Zhang, Zhaopeng Cui |
| 2021 | Learning Privacy-preserving Optics for Human Pose Estimation. Carlos Hinojosa, Juan Carlos Niebles, Henry Arguello |
| 2021 | Learning RAW-to-sRGB Mappings with Inaccurately Aligned Supervision. Zhilu Zhang, Haolin Wang, Ming Liu, Ruohao Wang, Jiawei Zhang, Wangmeng Zuo |
| 2021 | Learning Rare Category Classifiers on a Tight Labeling Budget. Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian |
| 2021 | Learning Realistic Human Reposing using Cyclic Self-Supervision with 3D Shape, Pose, and Appearance Consistency. Soubhik Sanyal, Betty J. Mohler, Alex Vorobiov, Larry Davis, Timo Bolkart, Javier Romero, Matthew Loper, Michael J. Black |
| 2021 | Learning Self-Consistency for Deepfake Detection. Tianchen Zhao, Xiang Xu, Mingze Xu, Hui Ding, Yuanjun Xiong, Wei Xia |
| 2021 | Learning Self-Similarity in Space and Time as Generalized Motion for Video Action Recognition. Heeseung Kwon, Manjin Kim, Suha Kwak, Minsu Cho |
| 2021 | Learning Signed Distance Field for Multi-view Surface Reconstruction. Jingyang Zhang, Yao Yao, Long Quan |
| 2021 | Learning Skeletal Graph Neural Networks for Hard 3D Pose Estimation. Ailing Zeng, Xiao Sun, Lei Yang, Nanxuan Zhao, Minhao Liu, Qiang Xu |
| 2021 | Learning Spatio-Temporal Transformer for Visual Tracking. Bin Yan, Houwen Peng, Jianlong Fu, Dong Wang, Huchuan Lu |
| 2021 | Learning Target Candidate Association to Keep Track of What Not to Track. Christoph Mayer, Martin Danelljan, Danda Pani Paudel, Luc Van Gool |
| 2021 | Learning Temporal Dynamics from Cycles in Narrated Video. Dave Epstein, Jiajun Wu, Cordelia Schmid, Chen Sun |
| 2021 | Learning Unsupervised Metaformer for Anomaly Detection. Jhih-Ciang Wu, Ding-Jie Chen, Chiou-Shann Fuh, Tyng-Luh Liu |
| 2021 | Learning a Sketch Tensor Space for Image Inpainting of Man-made Scenes. Chenjie Cao, Yanwei Fu |
| 2021 | Learning an Augmented RGB Representation with Cross-Modal Knowledge Distillation for Action Detection. Rui Dai, Srijan Das, François Brémond |
| 2021 | Learning by Aligning: Visible-Infrared Person Re-identification using Cross-Modal Correspondences. Hyunjong Park, Sanghoon Lee, Junghyup Lee, Bumsub Ham |
| 2021 | Learning from Noisy Data with Robust Representation Learning. Junnan Li, Caiming Xiong, Steven C. H. Hoi |
| 2021 | Learning of Visual Relations: The Devil is in the Tails. Alakh Desai, Tz-Ying Wu, Subarna Tripathi, Nuno Vasconcelos |
| 2021 | Learning specialized activation functions with the Piecewise Linear Unit. Yucong Zhou, Zezhou Zhu, Zhao Zhong |
| 2021 | Learning to Adversarially Blur Visual Object Tracking. Qing Guo, Ziyi Cheng, Felix Juefei-Xu, Lei Ma, Xiaofei Xie, Yang Liu, Jianjun Zhao |
| 2021 | Learning to Better Segment Objects from Unseen Classes with Unlabeled Videos. Yuming Du, Yang Xiao, Vincent Lepetit |
| 2021 | Learning to Bundle-adjust: A Graph Network Approach to Faster Optimization of Bundle Adjustment for Vehicular SLAM. Tetsuya Tanaka, Yukihiro Sasagawa, Takayuki Okatani |
| 2021 | Learning to Cut by Watching Movies. Alejandro Pardo, Fabian Caba Heilbron, Juan León Alcázar, Ali K. Thabet, Bernard Ghanem |
| 2021 | Learning to Discover Reflection Symmetry via Polar Matching Convolution. Ahyun Seo, Woohyeon Shim, Minsu Cho |
| 2021 | Learning to Diversify for Single Domain Generalization. Zijian Wang, Yadan Luo, Ruihong Qiu, Zi Huang, Mahsa Baktashmotlagh |
| 2021 | Learning to Estimate Hidden Motions with Global Motion Aggregation. Shihao Jiang, Dylan Campbell, Yao Lu, Hongdong Li, Richard I. Hartley |
| 2021 | Learning to Generate Scene Graph from Natural Language Supervision. Yiwu Zhong, Jing Shi, Jianwei Yang, Chenliang Xu, Yin Li |
| 2021 | Learning to Hallucinate Examples from Extrinsic and Intrinsic Supervision. Liangke Gui, Adrien Bardes, Ruslan Salakhutdinov, Alexander Hauptmann, Martial Hebert, Yu-Xiong Wang |
| 2021 | Learning to Know Where to See: A Visibility-Aware Approach for Occluded Person Re-identification. Jinrui Yang, Jiawei Zhang, Fufu Yu, Xinyang Jiang, Mengdan Zhang, Xing Sun, Ying-Cong Chen, Wei-Shi Zheng |
| 2021 | Learning to Match Features with Seeded Graph Matching Network. Hongkai Chen, Zixin Luo, Jiahui Zhang, Lei Zhou, Xuyang Bai, Zeyu Hu, Chiew-Lan Tai, Long Quan |
| 2021 | Learning to Reduce Defocus Blur by Realistically Modeling Dual-Pixel Data. Abdullah Abuolaim, Mauricio Delbracio, Damien Kelly, Michael S. Brown, Peyman Milanfar |
| 2021 | Learning to Regress Bodies from Images using Differentiable Semantic Rendering. Sai Kumar Dwivedi, Nikos Athanasiou, Muhammed Kocabas, Michael J. Black |
| 2021 | Learning to Remove Refractive Distortions from Underwater Images. Simron Thapa, Nianyi Li, Jinwei Ye |
| 2021 | Learning to Resize Images for Computer Vision Tasks. Hossein Talebi, Peyman Milanfar |
| 2021 | Learning to Stylize Novel Views. Hsin-Ping Huang, Hung-Yu Tseng, Saurabh Saini, Maneesh Singh, Ming-Hsuan Yang |
| 2021 | Learning to Track Objects from Unlabeled Videos. Jilai Zheng, Chao Ma, Houwen Peng, Xiaokang Yang |
| 2021 | Learning to Track with Object Permanence. Pavel Tokmakov, Jie Li, Wolfram Burgard, Adrien Gaidon |
| 2021 | Learning to drive from a world on rails. Dian Chen, Vladlen Koltun, Philipp Krähenbühl |
| 2021 | Learning with Memory-based Virtual Classes for Deep Metric Learning. Byungsoo Ko, Geonmo Gu, Han-Gyu Kim |
| 2021 | Learning with Noisy Labels for Robust Point Cloud Segmentation. Shuquan Ye, Dongdong Chen, Songfang Han, Jing Liao |
| 2021 | Learning with Noisy Labels via Sparse Regularization. Xiong Zhou, Xianming Liu, Chenyang Wang, Deming Zhai, Junjun Jiang, Xiangyang Ji |
| 2021 | Learning with Privileged Tasks. Yuru Song, Zan Lou, Shan You, Erkun Yang, Fei Wang, Chen Qian, Changshui Zhang, Xiaogang Wang |
| 2021 | Let's See Clearly: Contaminant Artifact Removal for Moving Cameras. Xiaoyu Li, Bo Zhang, Jing Liao, Pedro V. Sander |
| 2021 | Leveraging Auxiliary Tasks with Affinity Learning for Weakly Supervised Semantic Segmentation. Lian Xu, Wanli Ouyang, Mohammed Bennamoun, Farid Boussaïd, Ferdous Sohel, Dan Xu |
| 2021 | Lifelong Infinite Mixture Model Based on Knowledge-Driven Dirichlet Process. Fei Ye, Adrian G. Bors |
| 2021 | Light Field Saliency Detection with Dual Local Graph Learning and Reciprocative Guidance. Nian Liu, Wangbo Zhao, Dingwen Zhang, Junwei Han, Ling Shao |
| 2021 | Light Source Guided Single-Image Flare Removal from Unpaired Data. Xiaotian Qiao, Gerhard P. Hancke, Rynson W. H. Lau |
| 2021 | Lightweight Multi-person Total Motion Capture Using Sparse Multi-view Cameras. Yuxiang Zhang, Zhe Li, Liang An, Mengcheng Li, Tao Yu, Yebin Liu |
| 2021 | Likelihood-Based Diverse Sampling for Trajectory Forecasting. Yecheng Jason Ma, Jeevana Priya Inala, Dinesh Jayaraman, Osbert Bastani |
| 2021 | Linguistically Routing Capsule Network for Out-of-distribution Visual Question Answering. Qingxing Cao, Wentao Wan, Keze Wang, Xiaodan Liang, Liang Lin |
| 2021 | Lipschitz Continuity Guided Knowledge Distillation. Yuzhang Shang, Bin Duan, Ziliang Zong, Liqiang Nie, Yan Yan |
| 2021 | LoFGAN: Fusing Local Representations for Few-shot Image Generation. Zheng Gu, Wenbin Li, Jing Huo, Lei Wang, Yang Gao |
| 2021 | LoOp: Looking for Optimal Hard Negative Embeddings for Deep Metric Learning. Bhavya Vasudeva, Puneesh Deora, Saumik Bhattacharya, Umapada Pal, Sukalpa Chanda |
| 2021 | LocTex: Learning Data-Efficient Visual Representations from Localized Textual Supervision. Zhijian Liu, Simon Stent, Jie Li, John Gideon, Song Han |
| 2021 | Local Temperature Scaling for Probability Calibration. Zhipeng Ding, Xu Han, Peirong Liu, Marc Niethammer |
| 2021 | LocalTrans: A Multiscale Local Transformer Network for Cross-Resolution Homography Estimation. Ruizhi Shao, Gaochang Wu, Yuemei Zhou, Ying Fu, Lu Fang, Yebin Liu |
| 2021 | Localize to Binauralize: Audio Spatialization from Visual Sound Source Localization. Kranthi Kumar Rachavarapu, Aakanksha, Vignesh Sundaresha, A. N. Rajagopalan |
| 2021 | Localized Simple Multiple Kernel K-means. Xinwang Liu, Sihang Zhou, Li Liu, Chang Tang, Siwei Wang, Jiyuan Liu, Yi Zhang |
| 2021 | Location-aware Single Image Reflection Removal. Zheng Dong, Ke Xu, Yin Yang, Hujun Bao, Weiwei Xu, Rynson W. H. Lau |
| 2021 | Long Short View Feature Decomposition via Contrastive Video Representation Learning. Nadine Behrmann, Mohsen Fayyaz, Juergen Gall, Mehdi Noroozi |
| 2021 | Long-Term Temporally Consistent Unpaired Video Translation from Simulated Surgical 3D Data. Dominik Rivoir, Micha Pfeiffer, Reuben Docea, Fiona R. Kolbinger, Carina Riediger, Jürgen Weitz, Stefanie Speidel |
| 2021 | LookOut: Diverse Multi-Future Prediction and Planning for Self-Driving. Alexander Cui, Sergio Casas, Abbas Sadat, Renjie Liao, Raquel Urtasun |
| 2021 | Looking here or there? Gaze Following in 360-Degree Images. Yunhao Li, Wei Shen, Zhongpai Gao, Yucheng Zhu, Guangtao Zhai, Guodong Guo |
| 2021 | Low Curvature Activations Reduce Overfitting in Adversarial Training. Vasu Singla, Sahil Singla, Soheil Feizi, David Jacobs |
| 2021 | Low-Rank Tensor Completion by Approximating the Tensor Average Rank. Zhanliang Wang, Junyu Dong, Xinguo Liu, Xueying Zeng |
| 2021 | Low-Shot Validation: Active Importance Sampling for Estimating Classifier Performance on Rare Categories. Fait Poms, Vishnu Sarukkai, Ravi Teja Mullapudi, Nimit Sharad Sohoni, William R. Mark, Deva Ramanan, Kayvon Fatahalian |
| 2021 | Lucas-Kanade Reloaded: End-to-End Super-Resolution from Raw Image Bursts. Bruno Lecouat, Jean Ponce, Julien Mairal |
| 2021 | M3D-VTON: A Monocular-to-3D Virtual Try-On Network. Fuwei Zhao, Zhenyu Xie, Michael Kampffmeyer, Haoye Dong, Songfang Han, Tianxiang Zheng, Tao Zhang, Xiaodan Liang |
| 2021 | MAAS: Multi-modal Assignation for Active Speaker Detection. Juan León Alcázar, Fabian Caba Heilbron, Ali K. Thabet, Bernard Ghanem |
| 2021 | MBA-VO: Motion Blur Aware Visual Odometry. Peidong Liu, Xingxing Zuo, Viktor Larsson, Marc Pollefeys |
| 2021 | MDETR - Modulated Detection for End-to-End Multi-Modal Understanding. Aishwarya Kamath, Mannat Singh, Yann LeCun, Gabriel Synnaeve, Ishan Misra, Nicolas Carion |
| 2021 | ME-PCN: Point Completion Conditioned on Mask Emptiness. Bingchen Gong, Yinyu Nie, Yiqun Lin, Xiaoguang Han, Yizhou Yu |
| 2021 | MEDIRL: Predicting the Visual Attention of Drivers via Maximum Entropy Deep Inverse Reinforcement Learning. Sonia Baee, Erfan Pakdamanian, Inki Kim, Lu Feng, Vicente Ordonez, Laura E. Barnes |
| 2021 | MFNet: Multi-filter Directive Network for Weakly Supervised Salient Object Detection. Yongri Piao, Jian Wang, Miao Zhang, Huchuan Lu |
| 2021 | MG-GAN: A Multi-Generator Model Preventing Out-of-Distribution Samples in Pedestrian Trajectory Prediction. Patrick Dendorfer, Sven Elflein, Laura Leal-Taixé |
| 2021 | MGNet: Monocular Geometric Scene Understanding for Autonomous Driving. Markus Schön, Michael Buchholz, Klaus Dietmayer |
| 2021 | MGSampler: An Explainable Sampling Strategy for Video Action Recognition. Yuan Zhi, Zhan Tong, Limin Wang, Gangshan Wu |
| 2021 | MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis. Jiaxin Li, Zijian Feng, Qi She, Henghui Ding, Changhu Wang, Gim Hee Lee |
| 2021 | MLVSNet: Multi-level Voting Siamese Network for 3D Visual Tracking. Zhoutao Wang, Qian Xie, Yu-Kun Lai, Jing Wu, Kun Long, Jun Wang |
| 2021 | MOTSynth: How Can Synthetic Data Help Pedestrian Detection and Tracking? Matteo Fabbri, Guillem Brasó, Gianluca Maugeri, Orcun Cetintas, Riccardo Gasparini, Aljosa Osep, Simone Calderara, Laura Leal-Taixé, Rita Cucchiara |
| 2021 | MSR-GCN: Multi-Scale Residual Graph Convolution Networks for Human Motion Prediction. Lingwei Dang, Yongwei Nie, Chengjiang Long, Qing Zhang, Guiqing Li |
| 2021 | MT-ORL: Multi-Task Occlusion Relationship Learning. Panhe Feng, Qi She, Lei Zhu, Jiaxin Li, Lin Zhang, Zijian Feng, Changhu Wang, Chunpeng Li, Xuejing Kang, Anlong Ming |
| 2021 | MUSIQ: Multi-scale Image Quality Transformer. Junjie Ke, Qifei Wang, Yilin Wang, Peyman Milanfar, Feng Yang |
| 2021 | MVSNeRF: Fast Generalizable Radiance Field Reconstruction from Multi-View Stereo. Anpei Chen, Zexiang Xu, Fuqiang Zhao, Xiaoshuai Zhang, Fanbo Xiang, Jingyi Yu, Hao Su |
| 2021 | MVTN: Multi-View Transformation Network for 3D Shape Recognition. Abdullah Hamdi, Silvio Giancola, Bernard Ghanem |
| 2021 | Making Higher Order MOT Scalable: An Efficient Approximate Solver for Lifted Disjoint Paths. Andrea Hornáková, Timo Kaiser, Paul Swoboda, Michal Rolínek, Bodo Rosenhahn, Roberto Henschel |
| 2021 | Manifold Alignment for Semantically Aligned Style Transfer. Jing Huo, Shiyin Jin, Wenbin Li, Jing Wu, Yu-Kun Lai, Yinghuan Shi, Yang Gao |
| 2021 | Manifold Matching via Deep Metric Learning for Generative Modeling. Mengyu Dai, Haibin Hang |
| 2021 | Matching in the Dark: A Dataset for Matching Image Pairs of Low-light Scenes. Wenzheng Song, Masanori Suganuma, Xing Liu, Noriyuki Shimobayashi, Daisuke Maruta, Takayuki Okatani |
| 2021 | Me-Momentum: Extracting Hard Confident Examples from Noisily Labeled Data. Yingbin Bai, Tongliang Liu |
| 2021 | Mean Shift for Self-Supervised Learning. Soroush Abbasi Koohpayegani, Ajinkya Tejankar, Hamed Pirsiavash |
| 2021 | Membership Inference Attacks are Easier on Difficult Problems. Avital Shafran, Shmuel Peleg, Yedid Hoshen |
| 2021 | Memory-augmented Dynamic Neural Relational Inference. Dong Gong, Zhen Zhang, Qinfeng (Javen) Shi, Anton van den Hengel |
| 2021 | Mesh Graphormer. Kevin Lin, Lijuan Wang, Zicheng Liu |
| 2021 | MeshTalk: 3D Face Animation from Speech using Cross-Modality Disentanglement. Alexander Richard, Michael Zollhöfer, Yandong Wen, Fernando De la Torre, Yaser Sheikh |
| 2021 | Meta Gradient Adversarial Attack. Zheng Yuan, Jie Zhang, Yunpei Jia, Chuanqi Tan, Tao Xue, Shiguang Shan |
| 2021 | Meta Learning on a Sequence of Imbalanced Domains with Difficulty Awareness. Zhenyi Wang, Tiehang Duan, Le Fang, Qiuling Suo, Mingchen Gao |
| 2021 | Meta Navigator: Search for a Good Adaptation Policy for Few-shot Learning. Chi Zhang, Henghui Ding, Guosheng Lin, Ruibo Li, Changhu Wang, Chunhua Shen |
| 2021 | Meta Pairwise Relationship Distillation for Unsupervised Person Re-identification. Haoxuanye Ji, Le Wang, Sanping Zhou, Wei Tang, Nanning Zheng, Gang Hua |
| 2021 | Meta-Aggregator: Learning to Aggregate for 1-bit Graph Neural Networks. Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | Meta-Attack: Class-agnostic and Model-agnostic Physical Adversarial Attack. Weiwei Feng, Baoyuan Wu, Tianzhu Zhang, Yong Zhang, Yongdong Zhang |
| 2021 | Meta-Baseline: Exploring Simple Meta-Learning for Few-Shot Learning. Yinbo Chen, Zhuang Liu, Huijuan Xu, Trevor Darrell, Xiaolong Wang |
| 2021 | Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning. Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee |
| 2021 | MicroNet: Improving Image Recognition with Extremely Low FLOPs. Yunsheng Li, Yinpeng Chen, Xiyang Dai, Dongdong Chen, Mengchen Liu, Lu Yuan, Zicheng Liu, Lei Zhang, Nuno Vasconcelos |
| 2021 | Minimal Adversarial Examples for Deep Learning on 3D Point Clouds. Jaeyeon Kim, Binh-Son Hua, Duc Thanh Nguyen, Sai-Kit Yeung |
| 2021 | Minimal Cases for Computing the Generalized Relative Pose using Affine Correspondences. Banglei Guan, Ji Zhao, Daniel Barath, Friedrich Fraundorfer |
| 2021 | Minimal Solutions for Panoramic Stitching Given Gravity Prior. Yaqing Ding, Daniel Barath, Zuzana Kukelova |
| 2021 | Mining Contextual Information Beyond Image for Semantic Segmentation. Zhenchao Jin, Tao Gong, Dongdong Yu, Qi Chu, Jian Wang, Changhu Wang, Jie Shao |
| 2021 | Mining Latent Classes for Few-shot Segmentation. Lihe Yang, Wei Zhuo, Lei Qi, Yinghuan Shi, Yang Gao |
| 2021 | Mip-NeRF: A Multiscale Representation for Anti-Aliasing Neural Radiance Fields. Jonathan T. Barron, Ben Mildenhall, Matthew Tancik, Peter Hedman, Ricardo Martin-Brualla, Pratul P. Srinivasan |
| 2021 | Mitigating Intensity Bias in Shadow Detection via Feature Decomposition and Reweighting. Lei Zhu, Ke Xu, Zhanghan Ke, Rynson W. H. Lau |
| 2021 | MixMix: All You Need for Data-Free Compression Are Feature and Data Mixing. Yuhang Li, Feng Zhu, Ruihao Gong, Mingzhu Shen, Xin Dong, Fengwei Yu, Shaoqing Lu, Shi Gu |
| 2021 | MixMo: Mixing Multiple Inputs for Multiple Outputs via Deep Subnetworks. Alexandre Ramé, Rémy Sun, Matthieu Cord |
| 2021 | Mixed SIGNals: Sign Language Production via a Mixture of Motion Primitives. Ben Saunders, Necati Cihan Camgöz, Richard Bowden |
| 2021 | Mixture-based Feature Space Learning for Few-shot Image Classification. Arman Afrasiyabi, Jean-François Lalonde, Christian Gagné |
| 2021 | Modelling Neighbor Relation in Joint Space-Time Graph for Video Correspondence Learning. Zixu Zhao, Yueming Jin, Pheng-Ann Heng |
| 2021 | Modulated Graph Convolutional Network for 3D Human Pose Estimation. Zhiming Zou, Wei Tang |
| 2021 | Modulated Periodic Activations for Generalizable Local Functional Representations. Ishit Mehta, Michaël Gharbi, Connelly Barnes, Eli Shechtman, Ravi Ramamoorthi, Manmohan Chandraker |
| 2021 | MonoIndoor: Towards Good Practice of Self-Supervised Monocular Depth Estimation for Indoor Environments. Pan Ji, Runze Li, Bir Bhanu, Yi Xu |
| 2021 | Monocular, One-stage, Regression of Multiple 3D People. Yu Sun, Qian Bao, Wu Liu, Yili Fu, Michael J. Black, Tao Mei |
| 2021 | MonteFloor: Extending MCTS for Reconstructing Accurate Large-Scale Floor Plans. Sinisa Stekovic, Mahdi Rad, Friedrich Fraundorfer, Vincent Lepetit |
| 2021 | Morphable Detector for Object Detection on Demand. Xiangyun Zhao, Xu Zou, Ying Wu |
| 2021 | MosaicOS: A Simple and Effective Use of Object-Centric Images for Long-Tailed Object Detection. Cheng Zhang, Tai-Yu Pan, Yandong Li, Hexiang Hu, Dong Xuan, Soravit Changpinyo, Boqing Gong, Wei-Lun Chao |
| 2021 | Motion Adaptive Pose Estimation from Compressed Videos. Zhipeng Fan, Jun Liu, Yao Wang |
| 2021 | Motion Basis Learning for Unsupervised Deep Homography Estimation with Subspace Projection. Nianjin Ye, Chuan Wang, Haoqiang Fan, Shuaicheng Liu |
| 2021 | Motion Deblurring with Real Events. Fang Xu, Lei Yu, Bishan Wang, Wen Yang, Gui-Song Xia, Xu Jia, Zhendong Qiao, Jianzhuang Liu |
| 2021 | Motion Guided Attention Fusion to Recognize Interactions from Videos. Tae Soo Kim, Jonathan D. Jones, Gregory D. Hager |
| 2021 | Motion Guided Region Message Passing for Video Captioning. Shaoxiang Chen, Yu-Gang Jiang |
| 2021 | Motion Prediction using Trajectory Cues. Zhenguang Liu, Pengxiang Su, Shuang Wu, Xuanjing Shen, Haipeng Chen, Yanbin Hao, Meng Wang |
| 2021 | Motion-Augmented Self-Training for Video Recognition at Smaller Scale. Kirill Gavrilyuk, Mihir Jain, Ilia Karmanov, Cees G. M. Snoek |
| 2021 | Motion-Aware Dynamic Architecture for Efficient Frame Interpolation. Myungsub Choi, Suyoung Lee, Heewon Kim, Kyoung Mu Lee |
| 2021 | Motion-Focused Contrastive Learning of Video Representations Rui Li, Yiheng Zhang, Zhaofan Qiu, Ting Yao, Dong Liu, Tao Mei |
| 2021 | Move2Hear: Active Audio-Visual Source Separation. Sagnik Majumder, Ziad Al-Halah, Kristen Grauman |
| 2021 | Multi-Anchor Active Domain Adaptation for Semantic Segmentation. Munan Ning, Donghuan Lu, Dong Wei, Cheng Bian, Chenglang Yuan, Shuang Yu, Kai Ma, Yefeng Zheng |
| 2021 | Multi-Class Cell Detection Using Spatial Context Representation. Shahira Abousamra, David Belinsky, John S. Van Arnam, Felicia Allard, Eric Yee, Rajarsi Gupta, Tahsin M. Kurç, Dimitris Samaras, Joel H. Saltz, Chao Chen |
| 2021 | Multi-Class Multi-Instance Count Conditioned Adversarial Image Generation. Amrutha Saseendran, Kathrin Skubch, Margret Keuper |
| 2021 | Multi-Echo LiDAR for 3D Object Detection. Yunze Man, Xinshuo Weng, Prasanna Kumar Sivakumar, Matthew O'Toole, Kris Kitani |
| 2021 | Multi-Expert Adversarial Attack Detection in Person Re-identification Using Context Inconsistency. Xueping Wang, Shasha Li, Min Liu, Yaonan Wang, Amit K. Roy-Chowdhury |
| 2021 | Multi-Instance Pose Networks: Rethinking Top-Down Pose Estimation. Rawal Khirodkar, Visesh Chari, Amit Agrawal, Ambrish Tyagi |
| 2021 | Multi-Level Curriculum for Training A Distortion-Aware Barrel Distortion Rectification Model. Kang Liao, Chunyu Lin, Lixin Liao, Yao Zhao, Weiyao Lin |
| 2021 | Multi-Modal Multi-Action Video Recognition. Zhensheng Shi, Ju Liang, Qianqian Li, Haiyong Zheng, Zhaorui Gu, Junyu Dong, Bing Zheng |
| 2021 | Multi-Scale Separable Network for Ultra-High-Definition Video Deblurring. Senyou Deng, Wenqi Ren, Yanyang Yan, Tao Wang, Fenglong Song, Xiaochun Cao |
| 2021 | Multi-Scale Vision Longformer: A New Vision Transformer for High-Resolution Image Encoding. Pengchuan Zhang, Xiyang Dai, Jianwei Yang, Bin Xiao, Lu Yuan, Lei Zhang, Jianfeng Gao |
| 2021 | Multi-Source Domain Adaptation for Object Detection. Xingxu Yao, Sicheng Zhao, Pengfei Xu, Jufeng Yang |
| 2021 | Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation. Antoine Saporta, Tuan-Hung Vu, Matthieu Cord, Patrick Pérez |
| 2021 | Multi-Task Self-Training for Learning General Representations. Golnaz Ghiasi, Barret Zoph, Ekin D. Cubuk, Quoc V. Le, Tsung-Yi Lin |
| 2021 | Multi-VAE: Learning Disentangled View-common and View-peculiar Visual Representations for Multi-view Clustering. Jie Xu, Yazhou Ren, Huayi Tang, Xiaorong Pu, Xiaofeng Zhu, Ming Zeng, Lifang He |
| 2021 | Multi-View Radar Semantic Segmentation. Arthur Ouaknine, Alasdair Newson, Patrick Pérez, Florence Tupin, Julien Rebut |
| 2021 | Multi-modality Associative Bridging through Memory: Speech Sound Recollected from Face Video. Minsu Kim, Joanna Hong, Se Jin Park, Yong Man Ro |
| 2021 | Multi-scale Matching Networks for Semantic Correspondence. Dongyang Zhao, Ziyang Song, Zhenghao Ji, Gangming Zhao, Weifeng Ge, Yizhou Yu |
| 2021 | Multi-view 3D Reconstruction with Transformers. Dan Wang, Xinrui Cui, Xun Chen, Zhengxia Zou, Tianyang Shi, Septimiu E. Salcudean, Z. Jane Wang, Rabab Ward |
| 2021 | MultiSiam: Self-supervised Multi-instance Siamese Representation Learning for Autonomous Driving. Kai Chen, Lanqing Hong, Hang Xu, Zhenguo Li, Dit-Yan Yeung |
| 2021 | MultiSports: A Multi-Person Video Dataset of Spatio-Temporally Localized Sports Actions. Yixuan Li, Lei Chen, Runyu He, Zhenzhi Wang, Gangshan Wu, Limin Wang |
| 2021 | Multimodal Clustering Networks for Self-supervised Learning from Unlabeled Videos. Brian Chen, Andrew Rouditchenko, Kevin Duarte, Hilde Kuehne, Samuel Thomas, Angie W. Boggust, Rameswar Panda, Brian Kingsbury, Rogério Feris, David Harwath, James R. Glass, Michael Picheny, Shih-Fu Chang |
| 2021 | Multimodal Co-Attention Transformer for Survival Prediction in Gigapixel Whole Slide Images. Richard J. Chen, Ming Y. Lu, Wei-Hung Weng, Tiffany Y. Chen, Drew F. K. Williamson, Trevor Manz, Maha Shady, Faisal Mahmood |
| 2021 | Multimodal Knowledge Expansion. Zihui Xue, Sucheng Ren, Zhengqi Gao, Hang Zhao |
| 2021 | Multiple Heads are Better than One: Few-shot Font Generation with Multiple Localized Experts. Song Park, Sanghyuk Chun, Junbum Cha, Bado Lee, Hyunjung Shim |
| 2021 | Multiple Pairwise Ranking Networks for Personalized Video Summarization. Yassir Saquil, Da Chen, Yuan He, Chuan Li, Yong-Liang Yang |
| 2021 | Multiresolution Deep Implicit Functions for 3D Shape Representation. Zhang Chen, Yinda Zhang, Kyle Genova, Sean Ryan Fanello, Sofien Bouaziz, Christian Häne, Ruofei Du, Cem Keskin, Thomas A. Funkhouser, Danhang Tang |
| 2021 | Multiscale Vision Transformers. Haoqi Fan, Bo Xiong, Karttikeya Mangalam, Yanghao Li, Zhicheng Yan, Jitendra Malik, Christoph Feichtenhofer |
| 2021 | Multispectral illumination estimation using deep unrolling network. Yuqi Li, Qiang Fu, Wolfgang Heidrich |
| 2021 | Multitask AET with Orthogonal Tangent Regularity for Dark Object Detection. Ziteng Cui, Guo-Jun Qi, Lin Gu, Shaodi You, Zenghui Zhang, Tatsuya Harada |
| 2021 | Multiview Pseudo-Labeling for Semi-supervised Learning from Video. Bo Xiong, Haoqi Fan, Kristen Grauman, Christoph Feichtenhofer |
| 2021 | Mutual Affine Network for Spatially Variant Kernel Estimation in Blind Image Super-Resolution. Jingyun Liang, Guolei Sun, Kai Zhang, Luc Van Gool, Radu Timofte |
| 2021 | Mutual Supervision for Dense Object Detection. Ziteng Gao, Limin Wang, Gangshan Wu |
| 2021 | Mutual-Complementing Framework for Nuclei Detection and Segmentation in Pathology Image. Zunlei Feng, Zhonghua Wang, Xinchao Wang, Yining Mao, Thomas Li, Jie Lei, Yuexuan Wang, Mingli Song |
| 2021 | N-ImageNet: Towards Robust, Fine-Grained Object Recognition with Event Cameras. Junho Kim, Jaehyeok Bae, Gangin Park, Dongsu Zhang, Young Min Kim |
| 2021 | NAS-OoD: Neural Architecture Search for Out-of-Distribution Generalization. Haoyue Bai, Fengwei Zhou, Lanqing Hong, Nanyang Ye, S.-H. Gary Chan, Zhenguo Li |
| 2021 | NASOA: Towards Faster Task-oriented Online Fine-tuning with a Zoo of Models. Hang Xu, Ning Kang, Gengwei Zhang, Chuanlong Xie, Xiaodan Liang, Zhenguo Li |
| 2021 | NEAT: Neural Attention Fields for End-to-End Autonomous Driving. Kashyap Chitta, Aditya Prakash, Andreas Geiger |
| 2021 | NGC: A Unified Framework for Learning with Open-World Noisy Data. Zhi-Fan Wu, Tong Wei, Jianwen Jiang, Chaojie Mao, Mingqian Tang, Yufeng Li |
| 2021 | NPMs: Neural Parametric Models for 3D Deformable Shapes. Pablo R. Palafox, Aljaz Bozic, Justus Thies, Matthias Nießner, Angela Dai |
| 2021 | Naturalistic Physical Adversarial Patch for Object Detectors. Yu-Chih-Tuan Hu, Jun-Cheng Chen, Bo-Han Kung, Kai-Lung Hua, Daniel Stanley Tan |
| 2021 | NeRD: Neural Reflectance Decomposition from Image Collections. Mark Boss, Raphael Braun, Varun Jampani, Jonathan T. Barron, Ce Liu, Hendrik P. A. Lensch |
| 2021 | Nerfies: Deformable Neural Radiance Fields. Keunhong Park, Utkarsh Sinha, Jonathan T. Barron, Sofien Bouaziz, Dan B. Goldman, Steven M. Seitz, Ricardo Martin-Brualla |
| 2021 | NerfingMVS: Guided Optimization of Neural Radiance Fields for Indoor Multi-view Stereo. Yi Wei, Shaohui Liu, Yongming Rao, Wang Zhao, Jiwen Lu, Jie Zhou |
| 2021 | NeuSpike-Net: High Speed Video Reconstruction via Bio-inspired Neuromorphic Cameras. Lin Zhu, Jianing Li, Xiao Wang, Tiejun Huang, Yonghong Tian |
| 2021 | Neural Architecture Search for Joint Human Parsing and Pose Estimation. Dan Zeng, Yuhang Huang, Qian Bao, Junjie Zhang, Chi Su, Wu Liu |
| 2021 | Neural Articulated Radiance Field. Atsuhiro Noguchi, Xiao Sun, Stephen Lin, Tatsuya Harada |
| 2021 | Neural Image Compression via Attentional Multi-scale Back Projection and Frequency Decomposition. Ge Gao, Pei You, Rong Pan, Shunyuan Han, Yuanyuan Zhang, Yuchao Dai, HoJae Lee |
| 2021 | Neural Photofit: Gaze-based Mental Image Reconstruction. Florian Strohm, Ekta Sood, Sven Mayer, Philipp Müller, Mihai Bâce, Andreas Bulling |
| 2021 | Neural Radiance Flow for 4D View Synthesis and Video Processing. Yilun Du, Yinan Zhang, Hong-Xing Yu, Joshua B. Tenenbaum, Jiajun Wu |
| 2021 | Neural Strokes: Stylized Line Drawing of 3D Shapes. Difan Liu, Matthew Fisher, Aaron Hertzmann, Evangelos Kalogerakis |
| 2021 | Neural TMDlayer: Modeling Instantaneous flow of features via SDE Generators. Zihang Meng, Vikas Singh, Sathya N. Ravi |
| 2021 | Neural Video Portrait Relighting in Real-time via Consistency Modeling. Longwen Zhang, Qixuan Zhang, Minye Wu, Jingyi Yu, Lan Xu |
| 2021 | Neural-GIF: Neural Generalized Implicit Functions for Animating People in Clothing. Garvita Tiwari, Nikolaos Sarafianos, Tony Tung, Gerard Pons-Moll |
| 2021 | Non-Rigid Neural Radiance Fields: Reconstruction and Novel View Synthesis of a Dynamic Scene From Monocular Video. Edgar Tretschk, Ayush Tewari, Vladislav Golyanik, Michael Zollhöfer, Christoph Lassner, Christian Theobalt |
| 2021 | Normalization Matters in Weakly Supervised Object Localization. Jeesoo Kim, Junsuk Choe, Sangdoo Yun, Nojun Kwak |
| 2021 | Normalized Human Pose Features for Human Action Video Alignment. Jingyuan Liu, Mingyi Shi, Qifeng Chen, Hongbo Fu, Chiew-Lan Tai |
| 2021 | Not All Operations Contribute Equally: Hierarchical Operation-adaptive Predictor for Neural Architecture Search. Ziye Chen, Yibing Zhan, Baosheng Yu, Mingming Gong, Bo Du |
| 2021 | ODAM: Object Detection, Association, and Mapping using Posed RGB Video. Kejie Li, Daniel DeTone, Steven Chen, Minh Vo, Ian Reid, Hamid Rezatofighi, Chris Sweeney, Julian Straub, Richard A. Newcombe |
| 2021 | OMNet: Learning Overlapping Mask for Partial-to-Partial Point Cloud Registration. Hao Xu, Shuaicheng Liu, Guangfu Wang, Guanghui Liu, Bing Zeng |
| 2021 | ORBIT: A Real-World Few-Shot Dataset for Teachable Object Recognition. Daniela Massiceti, Luisa M. Zintgraf, John Bronskill, Lida Theodorou, Matthew Tobias Harris, Edward Cutrell, Cecily Morrison, Katja Hofmann, Simone Stumpf |
| 2021 | OSCAR-Net: Object-centric Scene Graph Attention for Image Attribution. Eric Nguyen, Tu Bui, Viswanathan (Vishy) Swaminathan, John P. Collomosse |
| 2021 | OVANet: One-vs-All Network for Universal Domain Adaptation. Kuniaki Saito, Kate Saenko |
| 2021 | OadTR: Online Action Detection with Transformers. Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Zhengrong Zuo, Changxin Gao, Nong Sang |
| 2021 | Object Tracking by Jointly Exploiting Frame and Event Domain. Jiqing Zhang, Xin Yang, Yingkai Fu, Xiaopeng Wei, Baocai Yin, Bo Dong |
| 2021 | Objects as Cameras: Estimating High-Frequency Illumination from Shadows. Tristan Swedish, Connor Henley, Ramesh Raskar |
| 2021 | Occlude Them All: Occlusion-Aware Attention Network for Occluded Person Re-ID. Peixian Chen, Wenfeng Liu, Pingyang Dai, Jianzhuang Liu, Qixiang Ye, Mingliang Xu, Qi'an Chen, Rongrong Ji |
| 2021 | Occluded Person Re-Identification with Single-scale Global Representations. Cheng Yan, Guansong Pang, Jile Jiao, Xiao Bai, Xuetao Feng, Chunhua Shen |
| 2021 | Occlusion-Aware Video Object Inpainting. Lei Ke, Yu-Wing Tai, Chi-Keung Tang |
| 2021 | Omni-GAN: On the Secrets of cGANs and Beyond. Peng Zhou, Lingxi Xie, Bingbing Ni, Cong Geng, Qi Tian |
| 2021 | Omnidata: A Scalable Pipeline for Making Multi-Task Mid-Level Vision Datasets from 3D Scans. Ainaz Eftekhar, Alexander Sax, Jitendra Malik, Amir Zamir |
| 2021 | Omniscient Video Super-Resolution. Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Tao Lu, Xin Tian, Jiayi Ma |
| 2021 | On Compositions of Transformations in Contrastive Self-Supervised Learning. Mandela Patrick, Yuki Markus Asano, Polina Kuznetsova, Ruth Fong, João F. Henriques, Geoffrey Zweig, Andrea Vedaldi |
| 2021 | On Equivariant and Invariant Learning of Object Landmark Representations. Zezhou Cheng, Jong-Chyi Su, Subhransu Maji |
| 2021 | On Exposing the Challenging Long Tail in Future Prediction of Traffic Actors. Osama Makansi, Özgün Çiçek, Yassine Marrakchi, Thomas Brox |
| 2021 | On Feature Decorrelation in Self-Supervised Learning. Tianyu Hua, Wenxiao Wang, Zihui Xue, Sucheng Ren, Yue Wang, Hang Zhao |
| 2021 | On Generating Transferable Targeted Perturbations. Muzammal Naseer, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Fatih Porikli |
| 2021 | On the Importance of Distractors for Few-Shot Classification. Rajshekhar Das, Yu-Xiong Wang, José M. F. Moura |
| 2021 | On the Limits of Pseudo Ground Truth in Visual Camera Re-localisation. Eric Brachmann, Martin Humenberger, Carsten Rother, Torsten Sattler |
| 2021 | On the Robustness of Vision Transformers to Adversarial Examples. Kaleel Mahmood, Rigel Mahmood, Marten van Dijk |
| 2021 | On the hidden treasure of dialog in video question answering. Deniz Engin, François Schnitzler, Ngoc Q. K. Duong, Yannis Avrithis |
| 2021 | Once Quantization-Aware Training: High Performance Extremely Low-bit Architecture Search. Mingzhu Shen, Feng Liang, Ruihao Gong, Yuhang Li, Chuming Li, Chen Lin, Fengwei Yu, Junjie Yan, Wanli Ouyang |
| 2021 | One-pass Multi-view Clustering for Large-scale Data. Jiyuan Liu, Xinwang Liu, Yuexiang Yang, Li Liu, Siqi Wang, Weixuan Liang, Jiangyong Shi |
| 2021 | Online Continual Learning with Natural Distribution Shifts: An Empirical Study with Visual Data. Zhipeng Cai, Ozan Sener, Vladlen Koltun |
| 2021 | Online Knowledge Distillation for Efficient Pose Estimation. Zheng Li, Jingwen Ye, Mingli Song, Ying Huang, Zhigeng Pan |
| 2021 | Online Multi-Granularity Distillation for GAN Compression. Yuxi Ren, Jie Wu, Xuefeng Xiao, Jianchao Yang |
| 2021 | Online Pseudo Label Generation by Hierarchical Cluster Dynamics for Adaptive Person Re-identification. Yi Zheng, Shixiang Tang, Guolong Teng, Yixiao Ge, Kaijian Liu, Jing Qin, Donglian Qi, Dapeng Chen |
| 2021 | Online Refinement of Low-level Feature Based Activation Map for Weakly Supervised Object Localization. Jinheng Xie, Cheng Luo, Xiangping Zhu, Ziqi Jin, Weizeng Lu, Linlin Shen |
| 2021 | Online-trained Upsampler for Deep Low Complexity Video Compression. Jan P. Klopp, Keng-Chi Liu, Shao-Yi Chien, Liang-Gee Chen |
| 2021 | OpenForensics: Large-Scale Challenging Dataset For Multi-Face Forgery Detection And Segmentation In-The-Wild. Trung-Nghia Le, Huy H. Nguyen, Junichi Yamagishi, Isao Echizen |
| 2021 | OpenGAN: Open-Set Recognition via Open Data Generation. Shu Kong, Deva Ramanan |
| 2021 | Oriented R-CNN for Object Detection. Xingxing Xie, Gong Cheng, Jiabao Wang, Xiwen Yao, Junwei Han |
| 2021 | Orthogonal Jacobian Regularization for Unsupervised Disentanglement in Image Generation. Yuxiang Wei, Yupeng Shi, Xiao Liu, Zhilong Ji, Yuan Gao, Zhongqin Wu, Wangmeng Zuo |
| 2021 | Orthogonal Projection Loss. Kanchana Ranasinghe, Muzammal Naseer, Munawar Hayat, Salman H. Khan, Fahad Shahbaz Khan |
| 2021 | Orthographic-Perspective Epipolar Geometry. Viktor Larsson, Marc Pollefeys, Magnus Oskarsson |
| 2021 | Out-of-Core Surface Reconstruction via Global TGV Minimization. Nikolai Poliarnyi |
| 2021 | Out-of-boundary View Synthesis Towards Full-Frame Video Stabilization. Yufei Xu, Jing Zhang, Dacheng Tao |
| 2021 | Overfitting the Data: Compact Neural Video Delivery via Content-aware Feature Modulation. Jiaming Liu, Ming Lu, Kaixin Chen, Xiaoqi Li, Shizun Wang, Zhaoqing Wang, Enhua Wu, Yurong Chen, Chuang Zhang, Ming Wu |
| 2021 | P2-Net: Joint Description and Detection of Local Features for Pixel and Point Matching. Bing Wang, Changhao Chen, Zhaopeng Cui, Jie Qin, Chris Xiaoxuan Lu, Zhengdi Yu, Peijun Zhao, Zhen Dong, Fan Zhu, Niki Trigoni, Andrew Markham |
| 2021 | PARE: Part Attention Regressor for 3D Human Body Estimation. Muhammed Kocabas, Chun-Hao P. Huang, Otmar Hilliges, Michael J. Black |
| 2021 | PARTS: Unsupervised segmentation with slots, attention and independence maximization. Daniel Zoran, Rishabh Kabra, Alexander Lerchner, Danilo J. Rezende |
| 2021 | PASS: Protected Attribute Suppression System for Mitigating Bias in Face Recognition. Prithviraj Dhar, Joshua Gleason, Aniket Roy, Carlos Domingo Castillo, Rama Chellappa |
| 2021 | PCAM: Product of Cross-Attention Matrices for Rigid Registration of Point Clouds. Anh-Quan Cao, Gilles Puy, Alexandre Boulch, Renaud Marlet |
| 2021 | PIAP-DF: Pixel-Interested and Anti Person-Specific Facial Action Unit Detection Net with Discrete Feedback Learning. Yang Tang, Wangding Zeng, Dafei Zhao, Honggang Zhang |
| 2021 | PICCOLO: Point Cloud-Centric Omnidirectional Localization. Junho Kim, Changwoon Choi, Hojun Jang, Young Min Kim |
| 2021 | PIRenderer: Controllable Portrait Image Generation via Semantic Neural Rendering. Yurui Ren, Ge Li, Yuanqi Chen, Thomas H. Li, Shan Liu |
| 2021 | PIT: Position-Invariant Transform for Cross-FoV Domain Adaptation. Qiqi Gu, Qianyu Zhou, Minghao Xu, Zhengyang Feng, Guangliang Cheng, Xuequan Lu, Jianping Shi, Lizhuang Ma |
| 2021 | PR-GCN: A Deep Graph Convolutional Network with Point Refinement for 6D Pose Estimation. GuangYuan Zhou, Huiqun Wang, Jiaxin Chen, Di Huang |
| 2021 | PR-Net: Preference Reasoning for Personalized Video Highlight Detection. Runnan Chen, Penghao Zhou, Wenzhe Wang, Nenglun Chen, Pai Peng, Xing Sun, Wenping Wang |
| 2021 | PR-RRN: Pairwise-Regularized Residual-Recursive Networks for Non-rigid Structure-from-Motion. Haitian Zeng, Yuchao Dai, Xin Yu, Xiaohan Wang, Yi Yang |
| 2021 | PT-CapsNet: A Novel Prediction-Tuning Capsule Network Suitable for Deeper Architectures. Chenbin Pan, Senem Velipasalar |
| 2021 | PU-EVA: An Edge-Vector based Approximation Solution for Flexible-scale Point Cloud Upsampling. Luqing Luo, Lulu Tang, Wanyi Zhou, Shizheng Wang, Zhi-Xin Yang |
| 2021 | PX-NET: Simple and Efficient Pixel-Wise Training of Photometric Stereo Networks. Fotios Logothetis, Ignas Budvytis, Roberto Mecca, Roberto Cipolla |
| 2021 | Paint Transformer: Feed Forward Neural Painting with Stroke Prediction. Songhua Liu, Tianwei Lin, Dongliang He, Fu Li, Ruifeng Deng, Xin Li, Errui Ding, Hao Wang |
| 2021 | Painting from Part. Dongsheng Guo, Haoru Zhao, Yunhao Cheng, Haiyong Zheng, Zhaorui Gu, Bing Zheng |
| 2021 | Pano-AVQA: Grounded Audio-Visual Question Answering on 360° Videos. Heeseung Yun, Youngjae Yu, Wonsuk Yang, Kangil Lee, Gunhee Kim |
| 2021 | Panoptic Narrative Grounding. Cristina González, Nicolás Ayobi, Isabela Hernández, José Hernández, Jordi Pont-Tuset, Pablo Arbeláez |
| 2021 | Panoptic Segmentation of Satellite Image Time Series with Convolutional Temporal Attention Networks. Vivien Sainte Fare Garnot, Loïc Landrieu |
| 2021 | Parallel Detection-and-Segmentation Learning for Weakly Supervised Instance Segmentation. Yunhang Shen, Liujuan Cao, Zhiwei Chen, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2021 | Parallel Multi-Resolution Fusion Network for Image Inpainting. Wentao Wang, Jianfu Zhang, Li Niu, Haoyu Ling, Xue Yang, Liqing Zhang |
| 2021 | Parallel Rectangle Flip Attack: A Query-based Black-box Attack against Object Detection. Siyuan Liang, Baoyuan Wu, Yanbo Fan, Xingxing Wei, Xiaochun Cao |
| 2021 | Parametric Contrastive Learning. Jiequan Cui, Zhisheng Zhong, Shu Liu, Bei Yu, Jiaya Jia |
| 2021 | Parsing Table Structures in the Wild. Rujiao Long, Wen Wang, Nan Xue, Feiyu Gao, Zhibo Yang, Yongpan Wang, Gui-Song Xia |
| 2021 | Partial Off-policy Learning: Balance Accuracy and Diversity for Human-Oriented Image Captioning. Jiahe Shi, Yali Li, Shengjin Wang |
| 2021 | Partial Video Domain Adaptation with Partial Adversarial Temporal Attentive Network. Yuecong Xu, Jianfei Yang, Haozhi Cao, Zhenghua Chen, Qi Li, Kezhi Mao |
| 2021 | Partner-Assisted Learning for Few-Shot Image Classification. Jiawei Ma, Hanchen Xie, Guangxing Han, Shih-Fu Chang, Aram Galstyan, Wael Abd-Almageed |
| 2021 | Patch Craft: Video Denoising by Deep Modeling and Patch Matching. Gregory Vaksman, Michael Elad, Peyman Milanfar |
| 2021 | Patch2CAD: Patchwise Embedding Learning for In-the-Wild Shape Retrieval from a Single Image. Weicheng Kuo, Anelia Angelova, Tsung-Yi Lin, Angela Dai |
| 2021 | PatchMatch-RL: Deep MVS with Pixelwise Depth, Normal, and Visibility. Jae Yong Lee, Joseph DeGol, Chuhang Zou, Derek Hoiem |
| 2021 | Pathdreamer: A World Model for Indoor Navigation. Jing Yu Koh, Honglak Lee, Yinfei Yang, Jason Baldridge, Peter Anderson |
| 2021 | Perception-Aware Multi-Sensor Fusion for 3D LiDAR Semantic Segmentation. Zhuangwei Zhuang, Rong Li, Kui Jia, Qicheng Wang, Yuanqing Li, Mingkui Tan |
| 2021 | Perceptual Variousness Motion Deblurring with Light Global Context Refinement. Jichun Li, Weimin Tan, Bo Yan |
| 2021 | Persistent Homology based Graph Convolution Network for Fine-grained 3D Shape Segmentation. Chi-Chong Wong, Chi-Man Vong |
| 2021 | Personalized Image Semantic Segmentation. Yu Zhang, Chang-Bin Zhang, Peng-Tao Jiang, Ming-Ming Cheng, Feng Mao |
| 2021 | Personalized Trajectory Prediction via Distribution Discrimination. Guangyi Chen, Junlong Li, Nuoxing Zhou, Liangliang Ren, Jiwen Lu |
| 2021 | Personalized and Invertible Face De-identification by Disentangled Identity Information Manipulation. Jingyi Cao, Bo Liu, Yunqian Wen, Rong Xie, Li Song |
| 2021 | Perturbed Self-Distillation: Weakly Supervised Large-Scale Point Cloud Semantic Segmentation. Yachao Zhang, Yanyun Qu, Yuan Xie, Zonghao Li, Shanshan Zheng, Cuihua Li |
| 2021 | Photon-Starved Scene Inference using Single Photon Cameras. Bhavya Goyal, Mohit Gupta |
| 2021 | Physics-Enhanced Machine Learning for Virtual Fluorescence Microscopy. Colin L. V. Cooke, Fanjie Kong, Amey Chaware, Kevin C. Zhou, Kanghyun Kim, Rong Xu, D. Michael Ando, Samuel J. Yang, Pavan Chandra Konda, Roarke Horstmeyer |
| 2021 | Physics-based Differentiable Depth Sensor Simulation. Benjamin Planche, Rajat Vikram Singh |
| 2021 | Physics-based Human Motion Estimation and Synthesis from Videos. Kevin Xie, Tingwu Wang, Umar Iqbal, Yunrong Guo, Sanja Fidler, Florian Shkurti |
| 2021 | Pi-NAS: Improving Neural Architecture Search by Reducing Supernet Training Consistency Shift. Jiefeng Peng, Jiqi Zhang, Changlin Li, Guangrun Wang, Xiaodan Liang, Liang Lin |
| 2021 | Pixel Contrastive-Consistent Semi-Supervised Semantic Segmentation. Yuanyi Zhong, Bodi Yuan, Hong Wu, Zhiqiang Yuan, Jian Peng, Yu-Xiong Wang |
| 2021 | Pixel Difference Networks for Efficient Edge Detection. Zhuo Su, WenZhe Liu, Zitong Yu, Dewen Hu, Qing Liao, Qi Tian, Matti Pietikäinen, Li Liu |
| 2021 | Pixel-Perfect Structure-from-Motion with Featuremetric Refinement. Philipp Lindenberger, Paul-Edouard Sarlin, Viktor Larsson, Marc Pollefeys |
| 2021 | PixelPyramids: Exact Inference Models from Lossless Image Pyramids. Shweta Mahajan, Stefan Roth |
| 2021 | PixelSynth: Generating a 3D-Consistent Experience from a Single Image. Chris Rockwell, David F. Fouhey, Justin Johnson |
| 2021 | Planar Surface Reconstruction from Sparse Views. Linyi Jin, Shengyi Qian, Andrew Owens, David F. Fouhey |
| 2021 | PlaneTR: Structure-Guided Transformers for 3D Plane Recovery. Bin Tan, Nan Xue, Song Bai, Tianfu Wu, Gui-Song Xia |
| 2021 | PlenOctrees for Real-time Rendering of Neural Radiance Fields. Alex Yu, Ruilong Li, Matthew Tancik, Hao Li, Ren Ng, Angjoo Kanazawa |
| 2021 | PnP-DETR: Towards Efficient Visual Analysis with Transformers. Tao Wang, Li Yuan, Yunpeng Chen, Jiashi Feng, Shuicheng Yan |
| 2021 | PoGO-Net: Pose Graph Optimization with Graph Neural Networks. Xinyi Li, Haibin Ling |
| 2021 | PoinTr: Diverse Point Cloud Completion with Geometry-Aware Transformers. Xumin Yu, Yongming Rao, Ziyi Wang, Zuyan Liu, Jiwen Lu, Jie Zhou |
| 2021 | Point Cloud Augmentation with Weighted Local Transformations. Sihyeon Kim, Sanghyeok Lee, Dasol Hwang, Jaewon Lee, Seong Jae Hwang, Hyunwoo J. Kim |
| 2021 | Point Transformer. Hengshuang Zhao, Li Jiang, Jiaya Jia, Philip H. S. Torr, Vladlen Koltun |
| 2021 | Point-Based Modeling of Human Clothing. Ilya Zakharkin, Kirill Mazur, Artur Grigorev, Victor Lempitsky |
| 2021 | Point-set Distances for Learning Representations of 3D Point Clouds. Trung Nguyen, Quang-Hieu Pham, Tam Le, Tung Pham, Nhat Ho, Binh-Son Hua |
| 2021 | PointBA: Towards Backdoor Attacks in 3D Point Cloud. Xinke Li, Zhirui Chen, Yue Zhao, Zekun Tong, Yabang Zhao, Andrew Lim, Joey Tianyi Zhou |
| 2021 | Polarimetric Helmholtz Stereopsis. Yuqi Ding, Yu Ji, Mingyuan Zhou, Sing Bing Kang, Jinwei Ye |
| 2021 | Poly-NL: Linear Complexity Non-local Layers With 3rd Order Polynomials. Francesca Babiloni, Ioannis Marras, Filippos Kokkinos, Jiankang Deng, Grigorios Chrysos, Stefanos Zafeiriou |
| 2021 | Pose Correction for Highly Accurate Visual Localization in Large-scale Indoor Spaces. Janghun Hyeon, Joohyung Kim, Nakju Lett Doh |
| 2021 | Pose Invariant Topological Memory for Visual Navigation. Asuto Taniguchi, Fumihiro Sasaki, Ryota Yamashina |
| 2021 | Practical Relative Order Attack in Deep Ranking. Mo Zhou, Le Wang, Zhenxing Niu, Qilin Zhang, Yinghui Xu, Nanning Zheng, Gang Hua |
| 2021 | PreDet: Large-scale weakly supervised pre-training for detection. Vignesh Ramanathan, Rui Wang, Dhruv Mahajan |
| 2021 | Predicting with Confidence on Unseen Distributions. Devin Guillory, Vaishaal Shankar, Sayna Ebrahimi, Trevor Darrell, Ludwig Schmidt |
| 2021 | Prediction by Anticipation: An Action-Conditional Prediction Method based on Interaction Learning. Ershad Banijamali, Mohsen Rohani, Elmira Amirloo Abolfathi, Jun Luo, Pascal Poupart |
| 2021 | Predictive Feature Learning for Future Segmentation Prediction. Zihang Lin, Jiangxin Sun, Jianfang Hu, Qi-Zhi Yu, Jian-Huang Lai, Wei-Shi Zheng |
| 2021 | Preservational Learning Improves Self-supervised Medical Image Models by Reconstructing Diverse Contexts. Hong-Yu Zhou, Chixiang Lu, Sibei Yang, Xiaoguang Han, Yizhou Yu |
| 2021 | Pri3D: Can 3D Priors Help 2D Representation Learning? Ji Hou, Saining Xie, Benjamin Graham, Angela Dai, Matthias Nießner |
| 2021 | PrimitiveNet: Primitive Instance Segmentation with Local Primitive Embedding under Adversarial Metric. Jingwei Huang, Yanfeng Zhang, Mingwei Sun |
| 2021 | Prior to Segment: Foreground Cues for Weakly Annotated Classes in Partially Supervised Instance Segmentation. David Biertimpel, Sindi Shkodrani, Anil S. Baslamisli, Nóra Baka |
| 2021 | ProFlip: Targeted Trojan Attack with Progressive Bit Flips. Huili Chen, Cheng Fu, Jishen Zhao, Farinaz Koushanfar |
| 2021 | Probabilistic Modeling for Human Mesh Recovery. Nikos Kolotouros, Georgios Pavlakos, Dinesh Jayaraman, Kostas Daniilidis |
| 2021 | Probabilistic Monocular 3D Human Pose Estimation with Normalizing Flows. Tom Wehrbein, Marco Rudolph, Bodo Rosenhahn, Bastian Wandt |
| 2021 | Procedure Planning in Instructional Videos via Contextual Modeling and Model-based Policy Learning. Jing Bi, Jiebo Luo, Chenliang Xu |
| 2021 | Procrustean Training for Imbalanced Deep Learning. Han-Jia Ye, De-Chuan Zhan, Wei-Lun Chao |
| 2021 | Product Quantizer Aware Inverted Index for Scalable Nearest Neighbor Search. Hae-Chan Noh, Taeho Kim, Jae-Pil Heo |
| 2021 | Product1M: Towards Weakly Supervised Instance-Level Product Retrieval via Cross-Modal Pretraining. Xunlin Zhan, Yangxin Wu, Xiao Dong, Yunchao Wei, Minlong Lu, Yichi Zhang, Hang Xu, Xiaodan Liang |
| 2021 | Progressive Correspondence Pruning by Consensus Learning. Chen Zhao, Yixiao Ge, Feng Zhu, Rui Zhao, Hongsheng Li, Mathieu Salzmann |
| 2021 | Progressive Seed Generation Auto-encoder for Unsupervised Point Cloud Learning. Juyoung Yang, Pyunghwan Ahn, Doyeon Kim, Haeil Lee, Junmo Kim |
| 2021 | Prototypical Matching and Open Set Rejection for Zero-Shot Semantic Segmentation. Hui Zhang, Henghui Ding |
| 2021 | Provably Approximated Point Cloud Registration. Ibrahim Jubran, Alaa Maalouf, Ron Kimmel, Dan Feldman |
| 2021 | Pseudo-loss Confidence Metric for Semi-supervised Few-shot Learning. Kai Huang, Jie Geng, Wen Jiang, Xinyang Deng, Zhe Xu |
| 2021 | Pseudo-mask Matters in Weakly-supervised Semantic Segmentation. Yi Li, Zhanghui Kuang, Liyang Liu, Yimin Chen, Wayne Zhang |
| 2021 | Putting NeRF on a Diet: Semantically Consistent Few-Shot View Synthesis. Ajay Jain, Matthew Tancik, Pieter Abbeel |
| 2021 | PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop. Hongwen Zhang, Yating Tian, Xinchi Zhou, Wanli Ouyang, Yebin Liu, Limin Wang, Zhenan Sun |
| 2021 | Pyramid Architecture Search for Real-Time Image Deblurring. Xiaobin Hu, Wenqi Ren, Kaicheng Yu, Kaihao Zhang, Xiaochun Cao, Wei Liu, Bjoern H. Menze |
| 2021 | Pyramid Point Cloud Transformer for Large-Scale Place Recognition. Le Hui, Hang Yang, Mingmei Cheng, Jin Xie, Jian Yang |
| 2021 | Pyramid R-CNN: Towards Better Performance and Adaptability for 3D Object Detection. Jiageng Mao, Minzhe Niu, Haoyue Bai, Xiaodan Liang, Hang Xu, Chunjing Xu |
| 2021 | Pyramid Spatial-Temporal Aggregation for Video-based Person Re-Identification. Yingquan Wang, Pingping Zhang, Shang Gao, Xia Geng, Hu Lu, Dong Wang |
| 2021 | Pyramid Vision Transformer: A Versatile Backbone for Dense Prediction without Convolutions. Wenhai Wang, Enze Xie, Xiang Li, Deng-Ping Fan, Kaitao Song, Ding Liang, Tong Lu, Ping Luo, Ling Shao |
| 2021 | Q-Match: Iterative Shape Matching via Quantum Annealing. Marcel Seelbach Benkner, Zorah Lähner, Vladislav Golyanik, Christof Wunderlich, Christian Theobalt, Michael Moeller |
| 2021 | Query Adaptive Few-Shot Object Detection with Heterogeneous Graph Convolutional Networks. Guangxing Han, Yicheng He, Shiyuan Huang, Jiawei Ma, Shih-Fu Chang |
| 2021 | R-MSFM: Recurrent Multi-Scale Feature Modulation for Monocular Depth Estimating. Zhongkai Zhou, Xinnan Fan, Pengfei Shi, Yuanxue Xin |
| 2021 | R-SLAM: Optimizing Eye Tracking from Rolling Shutter Video of the Retina. Jay Shenoy, James Fong, Jeffrey Tan, Austin Roorda, Ren Ng |
| 2021 | RAIN: Reinforced Hybrid Attention Inference Network for Motion Forecasting. Jiachen Li, Fan Yang, Hengbo Ma, Srikanth Malla, Masayoshi Tomizuka, Chiho Choi |
| 2021 | RANK-NOSH: Efficient Predictor-Based Architecture Search via Non-Uniform Successive Halving. Ruochen Wang, Xiangning Chen, Minhao Cheng, Xiaocheng Tang, Cho-Jui Hsieh |
| 2021 | RDA: Robust Domain Adaptation via Fourier Adversarial Attacking. Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu |
| 2021 | RDI-Net: Relational Dynamic Inference Networks. Huanyu Wang, Songyuan Li, Shihao Su, Zequn Qin, Xi Li |
| 2021 | RECALL: Replay-based Continual Learning in Semantic Segmentation. Andrea Maracani, Umberto Michieli, Marco Toldo, Pietro Zanuttigh |
| 2021 | RFNet: Recurrent Forward Network for Dense Point Cloud Completion. Tianxin Huang, Hao Zou, Jinhao Cui, Xuemeng Yang, Mengmeng Wang, Xiangrui Zhao, Jiangning Zhang, Yi Yuan, Yifan Xu, Yong Liu |
| 2021 | RFNet: Region-aware Fusion Network for Incomplete Multi-modal Brain Tumor Segmentation. Yuhang Ding, Xin Yu, Yi Yang |
| 2021 | RGB-D Saliency Detection via Cascaded Mutual Information Minimization. Jing Zhang, Deng-Ping Fan, Yuchao Dai, Xin Yu, Yiran Zhong, Nick Barnes, Ling Shao |
| 2021 | RINDNet: Edge Detection for Discontinuity in Reflectance, Illumination, Normal and Depth. Mengyang Pu, Yaping Huang, Qingji Guan, Haibin Ling |
| 2021 | RMSMP: A Novel Deep Neural Network Quantization Framework with Row-wise Mixed Schemes and Multiple Precisions. Sung-En Chang, Yanyu Li, Mengshu Sun, Weiwen Jiang, Sijia Liu, Yanzhi Wang, Xue Lin |
| 2021 | RPVNet: A Deep and Efficient Range-Point-Voxel Fusion Network for LiDAR Point Cloud Segmentation. Jianyun Xu, Ruixiang Zhang, Jian Dou, Yushi Zhu, Jie Sun, Shiliang Pu |
| 2021 | Radial Distortion Invariant Factorization for Structure from Motion. José Pedro Iglesias, Carl Olsson |
| 2021 | RandomRooms: Unsupervised Pre-training from Synthetic Shapes and Randomized Layouts for 3D Object Detection. Yongming Rao, Benlin Liu, Yi Wei, Jiwen Lu, Cho-Jui Hsieh, Jie Zhou |
| 2021 | RangeDet: In Defense of Range View for LiDAR-based 3D Object Detection. Lue Fan, Xuan Xiong, Feng Wang, Naiyan Wang, Zhaoxiang Zhang |
| 2021 | Rank & Sort Loss for Object Detection and Instance Segmentation. Kemal Oksuz, Baris Can Cam, Emre Akbas, Sinan Kalkan |
| 2021 | Ranking Models in Unlabeled New Environments. Xiaoxiao Sun, Yunzhong Hou, Weijian Deng, Hongdong Li, Liang Zheng |
| 2021 | Rational Polynomial Camera Model Warping for Deep Learning Based Satellite Multi-View Stereo Matching. Jian Gao, Jin Liu, Shunping Ji |
| 2021 | Re-Aging GAN: Toward Personalized Face Age Transformation. Farkhod Makhmudkhujaev, Sungeun Hong, In Kyu Park |
| 2021 | Re-distributing Biased Pseudo Labels for Semi-supervised Semantic Segmentation: A Baseline Investigation. Ruifei He, Jihan Yang, Xiaojuan Qi |
| 2021 | Re-energizing Domain Discriminator with Sample Relabeling for Adversarial Domain Adaptation. Xin Jin, Cuiling Lan, Wenjun Zeng, Zhibo Chen |
| 2021 | ReCU: Reviving the Dead Weights in Binary Neural Networks. Zihan Xu, Mingbao Lin, Jianzhuang Liu, Jie Chen, Ling Shao, Yue Gao, Yonghong Tian, Rongrong Ji |
| 2021 | ReDAL: Region-based and Diversity-aware Active Learning for Point Cloud Semantic Segmentation. Tsung-Han Wu, Yueh-Cheng Liu, Yu-Kai Huang, Hsin-Ying Lee, Hung-Ting Su, Ping-Chia Huang, Winston H. Hsu |
| 2021 | RePOSE: Fast 6D Object Pose Refinement via Deep Texture Rendering. Shun Iwase, Xingyu Liu, Rawal Khirodkar, Rio Yokota, Kris M. Kitani |
| 2021 | ReStyle: A Residual-Based StyleGAN Encoder via Iterative Refinement. Yuval Alaluf, Or Patashnik, Daniel Cohen-Or |
| 2021 | Real-Time Video Inference on Edge Devices via Adaptive Model Streaming. Mehrdad Khani Shirkoohi, Pouya Hamadanian, Arash Nasr-Esfahany, Mohammad Alizadeh |
| 2021 | Real-time Image Enhancer via Learnable Spatial-aware 3D Lookup Tables. Tao Wang, Yong Li, Jingyang Peng, Yipeng Ma, Xian Wang, Fenglong Song, Youliang Yan |
| 2021 | Real-time Instance Segmentation with Discriminative Orientation Maps. Wentao Du, Zhiyu Xiang, Shuya Chen, Chengyu Qiao, Yiman Chen, Tingming Bai |
| 2021 | Real-time Vanishing Point Detector Integrating Under-parameterized RANSAC and Hough Transform. Jianping Wu, Liang Zhang, Ye Liu, Ke Chen |
| 2021 | Real-world Video Super-resolution: A Benchmark Dataset and A Decomposition based Learning Scheme. Xi Yang, Wangmeng Xiang, Hui Zeng, Lei Zhang |
| 2021 | Reality Transform Adversarial Generators for Image Splicing Forgery Detection and Localization. Xiuli Bi, Zhipeng Zhang, Bin Xiao |
| 2021 | Reconcile Prediction Consistency for Balanced Object Detection. Keyang Wang, Lei Zhang |
| 2021 | ReconfigISP: Reconfigurable Camera Image Processing Pipeline. Ke Yu, Zexian Li, Yue Peng, Chen Change Loy, Jinwei Gu |
| 2021 | Reconstructing Hand-Object Interactions in the Wild. Zhe Cao, Ilija Radosavovic, Angjoo Kanazawa, Jitendra Malik |
| 2021 | Recurrent Mask Refinement for Few-Shot Medical Image Segmentation. Hao Tang, Xingwei Liu, Shanlin Sun, Xiangyi Yan, Xiaohui Xie |
| 2021 | Recursively Conditional Gaussian for Ordinal Unsupervised Domain Adaptation. Xiaofeng Liu, Site Li, Yubin Ge, Pengyi Ye, Jane You, Jun Lu |
| 2021 | Refining Action Segmentation with Hierarchical Video Representations. Hyemin Ahn, Dongheui Lee |
| 2021 | Refining activation downsampling with SoftPool. Alexandros Stergiou, Ronald Poppe, Grigorios Kalliatakis |
| 2021 | Region Similarity Representation Learning. Tete Xiao, Colorado J. Reed, Xiaolong Wang, Kurt Keutzer, Trevor Darrell |
| 2021 | Region-aware Contrastive Learning for Semantic Segmentation. Hanzhe Hu, Jinshi Cui, Liwei Wang |
| 2021 | Regularizing Nighttime Weirdness: Efficient Self-supervised Monocular Depth Estimation in the Dark. Kun Wang, Zhenyu Zhang, Zhiqiang Yan, Xiang Li, Baobei Xu, Jun Li, Jian Yang |
| 2021 | Rehearsal revealed: The limits and merits of revisiting samples in continual learning. Eli Verwimp, Matthias De Lange, Tinne Tuytelaars |
| 2021 | Relating Adversarially Robust Generalization to Flat Minima. David Stutz, Matthias Hein, Bernt Schiele |
| 2021 | Relational Embedding for Few-Shot Classification. Dahyun Kang, Heeseung Kwon, Juhong Min, Minsu Cho |
| 2021 | Relaxed Transformer Decoders for Direct Action Proposal Generation. Jing Tan, Jiaqi Tang, Limin Wang, Gangshan Wu |
| 2021 | Reliably fast adversarial training via latent adversarial perturbation. Geon Yeong Park, Sang Wan Lee |
| 2021 | Removing Adversarial Noise in Class Activation Feature Space. Dawei Zhou, Nannan Wang, Chunlei Peng, Xinbo Gao, Xiaoyu Wang, Jun Yu, Tongliang Liu |
| 2021 | Removing the Bias of Integral Pose Regression. Kerui Gu, Linlin Yang, Angela Yao |
| 2021 | Representative Color Transform for Image Enhancement. Hanul Kim, Su-Min Choi, Chang-Su Kim, Yeong Jun Koh |
| 2021 | ResRep: Lossless CNN Pruning via Decoupling Remembering and Forgetting. Xiaohan Ding, Tianxiang Hao, Jianchao Tan, Ji Liu, Jungong Han, Yuchen Guo, Guiguang Ding |
| 2021 | Residual Attention: A Simple but Effective Method for Multi-Label Recognition. Ke Zhu, Jianxin Wu |
| 2021 | Rethinking 360° Image Visual Attention Modelling with Unsupervised Learning. Yasser Abdelaziz Dahou Djilali, Tarun Krishna, Kevin McGuinness, Noel E. O'Connor |
| 2021 | Rethinking Coarse-to-Fine Approach in Single Image Deblurring. Sung-Jin Cho, Seo-Won Ji, Jun-Pyo Hong, Seung-Won Jung, Sung-Jea Ko |
| 2021 | Rethinking Counting and Localization in Crowds: A Purely Point-Based Framework. Qingyu Song, Changan Wang, Zhengkai Jiang, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yang Wu |
| 2021 | Rethinking Deep Image Prior for Denoising. Yeonsik Jo, Se Young Chun, Jonghyun Choi |
| 2021 | Rethinking Noise Synthesis and Modeling in Raw Denoising. Yi Zhang, Hongwei Qin, Xiaogang Wang, Hongsheng Li |
| 2021 | Rethinking Self-supervised Correspondence Learning: A Video Frame-level Similarity Perspective. Jiarui Xu, Xiaolong Wang |
| 2021 | Rethinking Spatial Dimensions of Vision Transformers. Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh |
| 2021 | Rethinking Transformer-based Set Prediction for Object Detection. Zhiqing Sun, Shengcao Cao, Yiming Yang, Kris Kitani |
| 2021 | Rethinking and Improving Relative Position Encoding for Vision Transformer. Kan Wu, Houwen Peng, Minghao Chen, Jianlong Fu, Hongyang Chao |
| 2021 | Rethinking preventing class-collapsing in metric learning with margin-based losses. Elad Levi, Tete Xiao, Xiaolong Wang, Trevor Darrell |
| 2021 | Rethinking the Backdoor Attacks' Triggers: A Frequency Perspective. Yi Zeng, Won Park, Z. Morley Mao, Ruoxi Jia |
| 2021 | Rethinking the Truly Unsupervised Image-to-Image Translation. Kyungjune Baek, Yunjey Choi, Youngjung Uh, Jaejun Yoo, Hyunjung Shim |
| 2021 | RetrievalFuse: Neural 3D Scene Reconstruction with a Database. Yawar Siddiqui, Justus Thies, Fangchang Ma, Qi Shan, Matthias Nießner, Angela Dai |
| 2021 | Retrieve in Style: Unsupervised Facial Feature Transfer and Retrieval. Min Jin Chong, Wen-Sheng Chu, Abhishek Kumar, David A. Forsyth |
| 2021 | Revealing the Reciprocal Relations between Self-Supervised Stereo and Monocular Depth Estimation. Zhi Chen, Xiaoqing Ye, Wei Yang, Zhenbo Xu, Xiao Tan, Zhikang Zou, Errui Ding, Xinming Zhang, Liusheng Huang |
| 2021 | Revisiting Adversarial Robustness Distillation: Robust Soft Labels Make Student Better. Bojia Zi, Shihao Zhao, Xingjun Ma, Yu-Gang Jiang |
| 2021 | Revisiting Stereo Depth Estimation From a Sequence-to-Sequence Perspective with Transformers. Zhaoshuo Li, Xingtong Liu, Nathan Drenkow, Andy S. Ding, Francis X. Creighton, Russell H. Taylor, Mathias Unberath |
| 2021 | Revitalizing Optimization for 3D Human Pose and Shape Estimation: A Sparse Constrained Formulation. Taosha Fan, Kalyan Vasudev Alwala, Donglai Xiang, Weipeng Xu, Todd D. Murphey, Mustafa Mukadam |
| 2021 | Road Anomaly Detection by Partial Image Reconstruction with Segmentation Coupling. Tomas Vojir, Tomás Sipka, Rahaf Aljundi, Nikolay Chumerin, Daniel Olmeda Reino, Jiri Matas |
| 2021 | Robust 2D/3D Vehicle Parsing in Arbitrary Camera Views for CVIS. Hui Miao, Feixiang Lu, Zongdai Liu, Liangjun Zhang, Dinesh Manocha, Bin Zhou |
| 2021 | Robust Automatic Monocular Vehicle Speed Estimation for Traffic Surveillance. Jérôme Revaud, Martin Humenberger |
| 2021 | Robust Object Detection via Instance-Level Temporal Cycle Confusion. Xin Wang, Thomas E. Huang, Benlin Liu, Fisher Yu, Xiaolong Wang, Joseph E. Gonzalez, Trevor Darrell |
| 2021 | Robust Small Object Detection on the Water Surface through Fusion of Camera and Millimeter Wave Radar. Yuwei Cheng, Hu Xu, Yimin Liu |
| 2021 | Robust Small-scale Pedestrian Detection with Cued Recall via Memory Learning. Jung Uk Kim, Sungjune Park, Yong Man Ro |
| 2021 | Robust Trust Region for Weakly Supervised Segmentation. Dmitrii Marin, Yuri Boykov |
| 2021 | Robust Watermarking for Deep Neural Networks via Bi-level Optimization. Peng Yang, Yingjie Lao, Ping Li |
| 2021 | RobustNav: Towards Benchmarking Robustness in Embodied Navigation. Prithvijit Chattopadhyay, Judy Hoffman, Roozbeh Mottaghi, Aniruddha Kembhavi |
| 2021 | Robustness Certification for Point Cloud Models. Tobias Lorenz, Anian Ruoss, Mislav Balunovic, Gagandeep Singh, Martin T. Vechev |
| 2021 | Robustness and Generalization via Generative Adversarial Training. Omid Poursaeed, Tianxing Jiang, Harry Yang, Serge J. Belongie, Ser-Nam Lim |
| 2021 | Robustness via Cross-Domain Ensembles. Teresa Yeo, Oguzhan Fatih Kar, Amir Zamir |
| 2021 | Rotation Averaging in a Split Second: A Primal-Dual Method and a Closed-Form for Cycle Graphs. Gabriel Moreira, Manuel Marques, João Paulo Costeira |
| 2021 | S Harsh Rangwani, Arihant Jain, Sumukh K. Aithal, R. Venkatesh Babu |
| 2021 | SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks. Jiapeng Tang, Jiabao Lei, Dan Xu, Feiying Ma, Kui Jia, Lei Zhang |
| 2021 | SACoD: Sensor Algorithm Co-Design Towards Efficient CNN-powered Intelligent PhlatCam. Yonggan Fu, Yang Zhang, Yue Wang, Zhihan Lu, Vivek Boominathan, Ashok Veeraraghavan, Yingyan Lin |
| 2021 | SAT: 2D Semantics Assisted Training for 3D Visual Grounding. Zhengyuan Yang, Songyang Zhang, Liwei Wang, Jiebo Luo |
| 2021 | SCOUTER: Slot Attention-based Classifier for Explainable Image Recognition. Liangzhi Li, Bowen Wang, Manisha Verma, Yuta Nakashima, Ryo Kawasaki, Hajime Nagahara |
| 2021 | SENTRY: Selective Entropy Optimization via Committee Consistency for Unsupervised Domain Adaptation. Viraj Prabhu, Shivam Khare, Deeksha Kartik, Judy Hoffman |
| 2021 | SGMNet: Learning Rotation-Invariant Point Cloud Representations via Sorted Gram Matrix. Jianyun Xu, Xin Tang, Yushi Zhu, Jie Sun, Shiliang Pu |
| 2021 | SGPA: Structure-Guided Prior Adaptation for Category-Level 6D Object Pose Estimation. Kai Chen, Qi Dou |
| 2021 | SIGN: Spatial-information Incorporated Generative Network for Generalized Zero-shot Semantic Segmentation. Jiaxin Cheng, Soumyaroop Nandi, Prem Natarajan, Wael Abd-Almageed |
| 2021 | SIGNET: Efficient Neural Representation for Light Fields. Brandon Yushan Feng, Amitabh Varshney |
| 2021 | SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks. Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison |
| 2021 | SLAMP: Stochastic Latent Appearance and Motion Prediction. Adil Kaan Akan, Erkut Erdem, Aykut Erdem, Fatma Güney |
| 2021 | SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting. Varun Jampani, Huiwen Chang, Kyle Sargent, Abhishek Kar, Richard Tucker, Michael Krainin, Dominik Kaeser, William T. Freeman, David Salesin, Brian Curless, Ce Liu |
| 2021 | SLIM: Self-Supervised LiDAR Scene Flow and Motion Segmentation. Stefan Andreas Baur, David Josef Emmerichs, Frank Moosmann, Peter Pinggera, Björn Ommer, Andreas Geiger |
| 2021 | SNARF: Differentiable Forward Skinning for Animating Non-Rigid Neural Implicit Shapes. Xu Chen, Yufeng Zheng, Michael J. Black, Otmar Hilliges, Andreas Geiger |
| 2021 | SO-Pose: Exploiting Self-Occlusion for Direct 6D Pose Estimation. Yan Di, Fabian Manhardt, Gu Wang, Xiangyang Ji, Nassir Navab, Federico Tombari |
| 2021 | SOMA: Solving Optical Marker-Based MoCap Automatically. Nima Ghorbani, Michael J. Black |
| 2021 | SOTR: Segmenting Objects with Transformers. Ruohao Guo, Dantong Niu, Liao Qu, Zhenbo Li |
| 2021 | SPEC: Seeing People in the Wild with an Estimated Camera. Muhammed Kocabas, Chun-Hao P. Huang, Joachim Tesch, Lea Müller, Otmar Hilliges, Michael J. Black |
| 2021 | SPG: Unsupervised Domain Adaptation for 3D Object Detection via Semantic Point Generation. Qiangeng Xu, Yin Zhou, Weiyue Wang, Charles R. Qi, Dragomir Anguelov |
| 2021 | SPatchGAN: A Statistical Feature Based Discriminator for Unsupervised Image-to-Image Translation. Xuning Shao, Weidong Zhang |
| 2021 | SS-IL: Separated Softmax for Incremental Learning. Hongjoon Ahn, Jihwan Kwak, Subin Lim, Hyeonsu Bang, Hyojun Kim, Taesup Moon |
| 2021 | SSH: A Self-Supervised Framework for Image Harmonization. Yifan Jiang, He Zhang, Jianming Zhang, Yilin Wang, Zhe Lin, Kalyan Sunkavalli, Simon Chen, Sohrab Amirghodsi, Sarah Kong, Zhangyang Wang |
| 2021 | STAR: A Structure-aware Lightweight Transformer for Real-time Image Enhancement. Zhaoyang Zhang, Yitong Jiang, Jun Jiang, Xiaogang Wang, Ping Luo, Jinwei Gu |
| 2021 | STEM: An approach to Multi-source Domain Adaptation with Guarantees. Van-Anh Nguyen, Tuan Nguyen, Trung Le, Quan Hung Tran, Dinh Phung |
| 2021 | STR-GQN: Scene Representation and Rendering for Unknown Cameras Based on Spatial Transformation Routing. Wen-Cheng Chen, Min-Chun Hu, Chu-Song Chen |
| 2021 | STRIVE: Scene Text Replacement In Videos. Vijay Kumar B. G, Jeyasri Subramanian, Varnith Chordia, Eugene Bart, Shaobo Fang, Kelly Guan, Raja Bala |
| 2021 | STVGBert: A Visual-linguistic Transformer based Framework for Spatio-temporal Video Grounding. Rui Su, Qian Yu, Dong Xu |
| 2021 | SUNet: Symmetric Undistortion Network for Rolling Shutter Correction. Bin Fan, Yuchao Dai, Mingyi He |
| 2021 | SaccadeCam: Adaptive Visual Attention for Monocular Depth Sensing. Brevin Tilmon, Sanjeev J. Koppal |
| 2021 | Safety-aware Motion Prediction with Unseen Vehicles for Autonomous Driving. Xuanchi Ren, Tao Yang, Li Erran Li, Alexandre Alahi, Qifeng Chen |
| 2021 | Saliency-Associated Object Tracking. Zikun Zhou, Wenjie Pei, Xin Li, Hongpeng Wang, Feng Zheng, Zhenyu He |
| 2021 | Salient Object Ranking with Position-Preserved Attention. Hao Fang, Daoxin Zhang, Yi Zhang, Minghao Chen, Jiawei Li, Yao Hu, Deng Cai, Xiaofei He |
| 2021 | Sample Efficient Detection and Classification of Adversarial Attacks via Self-Supervised Embeddings. Mazda Moayeri, Soheil Feizi |
| 2021 | Sampling Network Guided Cross-Entropy Method for Unsupervised Point Cloud Registration. Haobo Jiang, Yaqi Shen, Jin Xie, Jun Li, Jianjun Qian, Jian Yang |
| 2021 | Sat2Vid: Street-view Panoramic Video Synthesis from a Single Satellite Image. Zuoyue Li, Zhenqiang Li, Zhaopeng Cui, Rongjun Qin, Marc Pollefeys, Martin R. Oswald |
| 2021 | Scalable Vision Transformers with Hierarchical Pooling. Zizheng Pan, Bohan Zhuang, Jing Liu, Haoyu He, Jianfei Cai |
| 2021 | Scaling Semantic Segmentation Beyond 1K Classes on a Single GPU. Shipra Jain, Danda Pani Paudel, Martin Danelljan, Luc Van Gool |
| 2021 | Scaling up instance annotation via label propagation. Dim P. Papadopoulos, Ethan Weber, Antonio Torralba |
| 2021 | Scaling-up Disentanglement for Image Translation. Aviv Gabbay, Yedid Hoshen |
| 2021 | Scene Context-Aware Salient Object Detection. Avishek Siris, Jianbo Jiao, Gary K. L. Tam, Xianghua Xie, Rynson W. H. Lau |
| 2021 | Scene Synthesis via Uncertainty-Driven Attribute Synchronization. Haitao Yang, Zaiwei Zhang, Siming Yan, Haibin Huang, Chongyang Ma, Yi Zheng, Chandrajit Bajaj, Qixing Huang |
| 2021 | Score-Based Point Cloud Denoising. Shitong Luo, Wei Hu |
| 2021 | Scribble-Supervised Semantic Segmentation Inference. Jingshan Xu, Chuanwei Zhou, Zhen Cui, Chunyan Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang |
| 2021 | Scribble-Supervised Semantic Segmentation by Uncertainty Reduction on Neural Representation and Self-Supervision on Neural Eigenspace. Zhiyi Pan, Peng Jiang, Yunhai Wang, Changhe Tu, Anthony G. Cohn |
| 2021 | SeLFVi: Self-supervised Light-Field Video Reconstruction from Stereo Video. Prasan A. Shedligeri, Florian Schiffers, Sushobhan Ghosh, Oliver Cossairt, Kaushik Mitra |
| 2021 | Searching for Controllable Image Restoration Networks. Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee |
| 2021 | Searching for Robustness: Loss Learning for Noisy Classification Tasks. Boyan Gao, Henry Gouk, Timothy M. Hospedales |
| 2021 | Searching for Two-Stream Models in Multivariate Space for Video Recognition. Xinyu Gong, Heng Wang, Zheng Shou, Matt Feiszli, Zhangyang Wang, Zhicheng Yan |
| 2021 | Seasonal Contrast: Unsupervised Pre-Training from Uncurated Remote Sensing Data. Oscar Mañas, Alexandre Lacoste, Xavier Giró-i-Nieto, David Vázquez, Pau Rodríguez |
| 2021 | Seeing Dynamic Scene in the Dark: A High-Quality Video Dataset with Mechatronic Alignment. Ruixing Wang, Xiaogang Xu, Chi-Wing Fu, Jiangbo Lu, Bei Yu, Jiaya Jia |
| 2021 | Seeking Similarities over Differences: Similarity-based Domain Alignment for Adaptive Object Detection. Farzaneh Rezaeianaran, Rakshith Shetty, Rahaf Aljundi, Daniel Olmeda Reino, Shanshan Zhang, Bernt Schiele |
| 2021 | Segmentation-grounded Scene Graph Generation. Siddhesh Khandelwal, Mohammed Suhail, Leonid Sigal |
| 2021 | Segmenter: Transformer for Semantic Segmentation. Robin Strudel, Ricardo Garcia, Ivan Laptev, Cordelia Schmid |
| 2021 | Selective Feature Compression for Efficient Activity Recognition Inference. Chunhui Liu, Xinyu Li, Hao Chen, Davide Modolo, Joseph Tighe |
| 2021 | Self Supervision to Distillation for Long-Tailed Visual Recognition. Tianhao Li, Limin Wang, Gangshan Wu |
| 2021 | Self-Calibrating Neural Radiance Fields. Yoonwoo Jeong, Seokjun Ahn, Christopher B. Choy, Animashree Anandkumar, Minsu Cho, Jaesik Park |
| 2021 | Self-Conditioned Probabilistic Learning of Video Rescaling. Yuan Tian, Guo Lu, Xiongkuo Min, Zhaohui Che, Guangtao Zhai, Guodong Guo, Zhiyong Gao |
| 2021 | Self-Knowledge Distillation with Progressive Refinement of Targets. Kyungyul Kim, Byeongmoon Ji, Doyoung Yoon, Sangheum Hwang |
| 2021 | Self-Motivated Communication Agent for Real-World Vision-Dialog Navigation. Yi Zhu, Yue Weng, Fengda Zhu, Xiaodan Liang, Qixiang Ye, Yutong Lu, Jianbin Jiao |
| 2021 | Self-Mutating Network for Domain Adaptive Segmentation of Aerial Images. Kyungsu Lee, Haeyun Lee, Jae Youn Hwang |
| 2021 | Self-Mutual Distillation Learning for Continuous Sign Language Recognition. Aiming Hao, Yuecong Min, Xilin Chen |
| 2021 | Self-Regulation for Semantic Segmentation. Dong Zhang, Hanwang Zhang, Jinhui Tang, Xian-Sheng Hua, Qianru Sun |
| 2021 | Self-Supervised 3D Face Reconstruction via Conditional Estimation. Yandong Wen, Weiyang Liu, Bhiksha Raj, Rita Singh |
| 2021 | Self-Supervised 3D Hand Pose Estimation from monocular RGB via Contrastive Learning. Adrian Spurr, Aneesh Dahiya, Xi Wang, Xucong Zhang, Otmar Hilliges |
| 2021 | Self-Supervised Cryo-Electron Tomography Volumetric Image Restoration from Single Noisy Volume with Sparsity Constraint. Zhidong Yang, Fa Zhang, Renmin Han |
| 2021 | Self-Supervised Image Prior Learning with GMM from a Single Noisy Image. Haosen Liu, Xuan Liu, Jiangbo Lu, Shan Tan |
| 2021 | Self-Supervised Object Detection via Generative Image Synthesis. Siva Karthik Mustikovela, Shalini De Mello, Aayush Prakash, Umar Iqbal, Sifei Liu, Thu Nguyen-Phuoc, Carsten Rother, Jan Kautz |
| 2021 | Self-Supervised Pretraining of 3D Features on any Point-Cloud. Zaiwei Zhang, Rohit Girdhar, Armand Joulin, Ishan Misra |
| 2021 | Self-Supervised Real-to-Sim Scene Generation. Aayush Prakash, Shoubhik Debnath, Jean-Francois Lafleche, Eric Cameracci, Gavriel State, Stan Birchfield, Marc T. Law |
| 2021 | Self-Supervised Representation Learning from Flow Equivariance. Yuwen Xiong, Mengye Ren, Wenyuan Zeng, Raquel Urtasun Waabi |
| 2021 | Self-Supervised Vessel Segmentation via Adversarial Learning. Yuxin Ma, Yang Hua, Hanming Deng, Tao Song, Hao Wang, Zhengui Xue, Heng Cao, Ruhui Ma, Haibing Guan |
| 2021 | Self-Supervised Video Representation Learning with Meta-Contrastive Network. Yuanze Lin, Xun Guo, Yan Lu |
| 2021 | Self-Supervised Visual Representations Learning by Contrastive Mask Prediction. Yucheng Zhao, Guangting Wang, Chong Luo, Wenjun Zeng, Zheng-Jun Zha |
| 2021 | Self-born Wiring for Neural Trees. Ying Chen, Feng Mao, Jie Song, Xinchao Wang, Huiqiong Wang, Mingli Song |
| 2021 | Self-supervised 3D Skeleton Action Representation Learning with Motion Consistency and Continuity. Yukun Su, Guosheng Lin, Qingyao Wu |
| 2021 | Self-supervised Domain Adaptation for Forgery Localization of JPEG Compressed Images. Yuan Rao, Jiangqun Ni |
| 2021 | Self-supervised Geometric Features Discovery via Interpretable Attention for Vehicle Re-Identification and Beyond. Ming Li, Xinming Huang, Ziming Zhang |
| 2021 | Self-supervised Monocular Depth Estimation for All Day Images using Domain Separation. Lina Liu, Xibin Song, Mengmeng Wang, Yong Liu, Liangjun Zhang |
| 2021 | Self-supervised Neural Networks for Spectral Snapshot Compressive Imaging. Ziyi Meng, Zhenming Yu, Kun Xu, Xin Yuan |
| 2021 | Self-supervised Product Quantization for Deep Unsupervised Image Retrieval. Young Kyun Jang, Nam Ik Cho |
| 2021 | Self-supervised Transfer Learning for Hand Mesh Recovery from Binocular Images. Zheng Chen, Sihan Wang, Yi Sun, Xiaohong Ma |
| 2021 | Self-supervised Video Object Segmentation by Motion Grouping. Charig Yang, Hala Lamdouar, Erika Lu, Andrew Zisserman, Weidi Xie |
| 2021 | SelfReg: Self-supervised Contrastive Regularization for Domain Generalization. Daehee Kim, Youngjun Yoo, Seunghyun Park, Jinkyu Kim, Jaekoo Lee |
| 2021 | SemIE: Semantically-aware Image Extrapolation. Bholeshwar Khurana, Soumya Ranjan Dash, Abhishek Bhatia, Aniruddha Mahapatra, Hrituraj Singh, Kuldeep Kulkarni |
| 2021 | Semantic Aware Data Augmentation for Cell Nuclei Microscopical Images with Artificial Neural Networks. Alireza Naghizadeh, Hongye Xu, Mohab Mohamed, Dimitris N. Metaxas, Dongfang Liu |
| 2021 | Semantic Concentration for Domain Adaptation. Shuang Li, Mixue Xie, Fangrui Lv, Chi Harold Liu, Jian Liang, Chen Qin, Wei Li |
| 2021 | Semantic Diversity Learning for Zero-Shot Multi-label Classification. Avi Ben-Cohen, Nadav Zamir, Emanuel Ben Baruch, Itamar Friedman, Lihi Zelnik-Manor |
| 2021 | Semantic Perturbations with Normalizing Flows for Improved Generalization. Oguz Kaan Yüksel, Sebastian U. Stich, Martin Jaggi, Tatjana Chavdarova |
| 2021 | Semantic-embedded Unsupervised Spectral Reconstruction from Single RGB Images in the Wild. Zhiyu Zhu, Hui Liu, Junhui Hou, Huanqiang Zeng, Qingfu Zhang |
| 2021 | Semantically Coherent Out-of-Distribution Detection. Jingkang Yang, Haoqi Wang, Litong Feng, Xiaopeng Yan, Huabin Zheng, Wayne Zhang, Ziwei Liu |
| 2021 | Semantically Robust Unpaired Image Translation for Data with Unmatched Semantics Statistics. Zhiwei Jia, Bodi Yuan, Kangkang Wang, Hong Wu, David Clifford, Zhiqiang Yuan, Hao Su |
| 2021 | Semantics Disentangling for Generalized Zero-Shot Learning. Zhi Chen, Yadan Luo, Ruihong Qiu, Sen Wang, Zi Huang, Jingjing Li, Zheng Zhang |
| 2021 | Semi-Supervised Active Learning with Temporal Output Discrepancy. Siyu Huang, Tianyang Wang, Haoyi Xiong, Jun Huan, Dejing Dou |
| 2021 | Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples. Mahmoud Assran, Mathilde Caron, Ishan Misra, Piotr Bojanowski, Armand Joulin, Nicolas Ballas, Michael G. Rabbat |
| 2021 | Semi-Supervised Semantic Segmentation with Pixel-Level Contrastive Learning from a Class-wise Memory Bank. Iñigo Alonso, Alberto Sabater, David Ferstl, Luis Montesano, Ana C. Murillo |
| 2021 | Semi-Supervised Single-Stage Controllable GANs for Conditional Fine-Grained Image Generation. Tianyi Chen, Yi Liu, Yunfei Zhang, Si Wu, Yong Xu, Liangbing Feng, Hau-San Wong |
| 2021 | Semi-supervised Active Learning for Semi-supervised Models: Exploit Adversarial Examples with Graph-based Virtual Labels. Jiannan Guo, Haochen Shi, Yangyang Kang, Kun Kuang, Siliang Tang, Zhuoren Jiang, Changlong Sun, Fei Wu, Yueting Zhuang |
| 2021 | SemiHand: Semi-supervised Hand Pose Estimation with Consistency. Linlin Yang, Shicheng Chen, Angela Yao |
| 2021 | Seminar Learning for Click-Level Weakly Supervised Semantic Segmentation. Hongjun Chen, Jinbao Wang, Hong Cai Chen, Xiantong Zhen, Feng Zheng, Rongrong Ji, Ling Shao |
| 2021 | Sensor-Guided Optical Flow. Matteo Poggi, Filippo Aleotti, Stefano Mattoccia |
| 2021 | Separable Flow: Learning Motion Cost Volumes for Optical Flow Estimation. Feihu Zhang, Oliver J. Woodford, Victor Prisacariu, Philip H. S. Torr |
| 2021 | Shallow Bayesian Meta Learning for Real-World Few-Shot Recognition. Xueting Zhang, Debin Meng, Henry Gouk, Timothy M. Hospedales |
| 2021 | Shape Self-Correction for Unsupervised Point Cloud Understanding. Ye Chen, Jinxian Liu, Bingbing Ni, Hang Wang, Jiancheng Yang, Ning Liu, Teng Li, Qi Tian |
| 2021 | Shape-Biased Domain Generalization via Shock Graph Embeddings. Maruthi Narayanan, Vickram Rajendran, Benjamin B. Kimia |
| 2021 | Shape-aware Multi-Person Pose Estimation from Multi-View Images. Zijian Dong, Jie Song, Xu Chen, Chen Guo, Otmar Hilliges |
| 2021 | ShapeConv: Shape-aware Convolutional Layer for Indoor RGB-D Semantic Segmentation. Jinming Cao, Hanchao Leng, Dani Lischinski, Danny Cohen-Or, Changhe Tu, Yangyan Li |
| 2021 | SignBERT: Pre-Training of Hand-Model-Aware Representation for Sign Language Recognition. Hezhen Hu, Weichao Zhao, Wengang Zhou, Yuechen Wang, Houqiang Li |
| 2021 | SimROD: A Simple Adaptation Method for Robust Object Detection. Rindra Ramamonjison, Amin Banitalebi-Dehkordi, Xinyu Kang, Xiaolong Bai, Yong Zhang |
| 2021 | Simpler is Better: Few-shot Semantic Segmentation with Classifier Weight Transformer. Zhihe Lu, Sen He, Xiatian Zhu, Li Zhang, Yi-Zhe Song, Tao Xiang |
| 2021 | Single Image 3D Shape Retrieval via Cross-Modal Instance and Category Contrastive Learning. Ming-Xian Lin, Jie Yang, He Wang, Yu-Kun Lai, Rongfei Jia, Binqiang Zhao, Lin Gao |
| 2021 | Single Image Defocus Deblurring Using Kernel-Sharing Parallel Atrous Convolutions. Hyeongseok Son, Junyong Lee, Sunghyun Cho, Seungyong Lee |
| 2021 | Single View Physical Distance Estimation using Human Pose. Xiaohan Fei, Henry Wang, Lin Lee Cheong, Xiangyu Zeng, Meng Wang, Joseph Tighe |
| 2021 | Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics. Seung-Hwan Baek, Hayato Ikoma, Daniel S. Jeon, Yuqi Li, Wolfgang Heidrich, Gordon Wetzstein, Min H. Kim |
| 2021 | Skeleton Cloud Colorization for Unsupervised 3D Action Representation Learning. Siyuan Yang, Jun Liu, Shijian Lu, Meng Hwa Er, Alex C. Kot |
| 2021 | Skeleton2Mesh: Kinematics Prior Injected Unsupervised Human Mesh Recovery. Zhenbo Yu, Junjie Wang, Jingwei Xu, Bingbing Ni, Chenglong Zhao, Minsi Wang, Wenjun Zhang |
| 2021 | Sketch Your Own GAN. Sheng-Yu Wang, David Bau, Jun-Yan Zhu |
| 2021 | Sketch2Mesh: Reconstructing and Editing 3D Shapes from Sketches. Benoît Guillard, Edoardo Remelli, Pierre Yvernay, Pascal Fua |
| 2021 | SketchAA: Abstract Representation for Abstract Sketches. Lan Yang, Kaiyue Pang, Honggang Zhang, Yi-Zhe Song |
| 2021 | SketchLattice: Latticed Representation for Sketch Manipulation. Yonggang Qi, Guoyao Su, Pinaki Nath Chowdhury, Mingkang Li, Yi-Zhe Song |
| 2021 | SmartShadow: Artistic Shadow Drawing Tool for Line Drawings. Lvmin Zhang, Jinyue Jiang, Yi Ji, Chunping Liu |
| 2021 | SnowflakeNet: Point Cloud Completion by Snowflake Point Deconvolution with Skip-Transformer. Peng Xiang, Xin Wen, Yu-Shen Liu, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Zhizhong Han |
| 2021 | Social Fabric: Tubelet Compositions for Video Relation Detection. Shuo Chen, Zenglin Shi, Pascal Mettes, Cees G. M. Snoek |
| 2021 | Social NCE: Contrastive Learning of Socially-aware Motion Representations. Yuejiang Liu, Qi Yan, Alexandre Alahi |
| 2021 | Solving Inefficiency of Self-supervised Representation Learning. Guangrun Wang, Keze Wang, Guangcong Wang, Philip H. S. Torr, Liang Lin |
| 2021 | Space-Time Crop & Attend: Improving Cross-modal Video Representation Learning. Mandela Patrick, Po-Yao Huang, Ishan Misra, Florian Metze, Andrea Vedaldi, Yuki M. Asano, João F. Henriques |
| 2021 | Space-Time-Separable Graph Convolutional Network for Pose Forecasting. Theodoros Sofianos, Alessio Sampieri, Luca Franco, Fabio Galasso |
| 2021 | Sparse Needlets for Lighting Estimation with Spherical Transport Loss. Fangneng Zhan, Changgong Zhang, Wenbo Hu, Shijian Lu, Feiying Ma, Xuansong Xie, Ling Shao |
| 2021 | Sparse-shot Learning with Exclusive Cross-Entropy for Extremely Many Localisations. Andreas Panteli, Jonas Teuwen, Hugo M. Horlings, Efstratios Gavves |
| 2021 | Sparse-to-dense Feature Matching: Intra and Inter domain Cross-modal Learning in Domain Adaptation for 3D Semantic Segmentation. Duo Peng, Yinjie Lei, Wen Li, Pingping Zhang, Yulan Guo |
| 2021 | Spatial Uncertainty-Aware Semi-Supervised Crowd Counting. Yanda Meng, Hongrun Zhang, Yitian Zhao, Xiaoyun Yang, Xuesheng Qian, Xiaowei Huang, Yalin Zheng |
| 2021 | Spatial and Semantic Consistency Regularizations for Pedestrian Attribute Recognition. Jian Jia, Xiaotang Chen, Kaiqi Huang |
| 2021 | Spatial-Temporal Consistency Network for Low-Latency Trajectory Forecasting. Shijie Li, Yanying Zhou, Jinhui Yi, Juergen Gall |
| 2021 | Spatial-Temporal Transformer for Dynamic Scene Graph Generation. Yuren Cong, Wentong Liao, Hanno Ackermann, Bodo Rosenhahn, Michael Ying Yang |
| 2021 | Spatially Conditioned Graphs for Detecting Human-Object Interactions. Frederic Z. Zhang, Dylan Campbell, Stephen Gould |
| 2021 | Spatially-Adaptive Image Restoration using Distortion-Guided Networks. Kuldeep Purohit, Maitreya Suin, A. N. Rajagopalan, Vishnu Naresh Boddeti |
| 2021 | Spatio-Temporal Dynamic Inference Network for Group Activity Recognition. Hangjie Yuan, Dong Ni, Mang Wang |
| 2021 | Spatio-Temporal Representation Factorization for Video-based Person Re-Identification. Abhishek Aich, Meng Zheng, Srikrishna Karanam, Terrence Chen, Amit K. Roy-Chowdhury, Ziyan Wu |
| 2021 | Spatio-temporal Self-Supervised Representation Learning for 3D Point Clouds. Siyuan Huang, Yichen Xie, Song-Chun Zhu, Yixin Zhu |
| 2021 | Specialize and Fuse: Pyramidal Output Representation for Semantic Segmentation. Chi-Wei Hsiao, Cheng Sun, Hwann-Tzong Chen, Min Sun |
| 2021 | Specificity-preserving RGB-D Saliency Detection. Tao Zhou, Huazhu Fu, Geng Chen, Yi Zhou, Deng-Ping Fan, Ling Shao |
| 2021 | Spectral Leakage and Rethinking the Kernel Size in CNNs. Nergis Tomen, Jan C. van Gemert |
| 2021 | Speech Drives Templates: Co-Speech Gesture Synthesis with Learned Templates. Shenhan Qian, Zhi Tu, Yihao Zhi, Wen Liu, Shenghua Gao |
| 2021 | Square Root Marginalization for Sliding-Window Bundle Adjustment. Nikolaus Demmel, David Schubert, Christiane Sommer, Daniel Cremers, Vladyslav Usenko |
| 2021 | Stacked Homography Transformations for Multi-View Pedestrian Detection. Liangchen Song, Jialian Wu, Ming Yang, Qian Zhang, Yuan Li, Junsong Yuan |
| 2021 | Standardized Max Logits: A Simple yet Effective Approach for Identifying Unexpected Road Obstacles in Urban-Scene Segmentation. Sanghun Jung, Jungsoo Lee, Daehoon Gwak, Sungha Choi, Jaegul Choo |
| 2021 | StarEnhancer: Learning Real-Time and Style-Aware Image Enhancement. Yuda Song, Hui Qian, Xin Du |
| 2021 | Statistically Consistent Saliency Estimation. Shunyan Luo, Emre Barut, Fang Jin |
| 2021 | StereOBJ-1M: Large-scale Stereo Image Dataset for 6D Object Pose Estimation. Xingyu Liu, Shun Iwase, Kris M. Kitani |
| 2021 | Stochastic Partial Swap: Enhanced Model Generalization and Interpretability for Fine-grained Recognition. Shaoli Huang, Xinchao Wang, Dacheng Tao |
| 2021 | Stochastic Scene-Aware Motion Prediction. Mohamed Hassan, Duygu Ceylan, Ruben Villegas, Jun Saito, Jimei Yang, Yi Zhou, Michael J. Black |
| 2021 | Stochastic Transformer Networks with Linear Competing Units: Application to end-to-end SL Translation. Andreas Voskou, Konstantinos P. Panousis, Dimitrios I. Kosmopoulos, Dimitris N. Metaxas, Sotirios Chatzis |
| 2021 | Striking a Balance between Stability and Plasticity for Class-Incremental Learning. Guile Wu, Shaogang Gong, Pan Li |
| 2021 | StructDepth: Leveraging the structural regularities for self-supervised indoor depth estimation. Boying Li, Yuan Huang, Zeyu Liu, Danping Zou, Wenxian Yu |
| 2021 | Structure-Preserving Deraining with Residue Channel Prior Guidance. Qiaosi Yi, Juncheng Li, Qinyan Dai, Faming Fang, Guixu Zhang, Tieyong Zeng |
| 2021 | Structure-from-Sherds: Incremental 3D Reassembly of Axially Symmetric Pots from Unordered and Mixed Fragment Collections. Je Hyeong Hong, Seong Jong Yoo, Muhammad Zeeshan Arshad, Young Min Kim, Jinwook Kim |
| 2021 | Structure-transformed Texture-enhanced Network for Person Image Synthesis. Munan Xu, Yuanqi Chen, Shan Liu, Thomas H. Li, Ge Li |
| 2021 | Structured Bird's-Eye-View Traffic Scene Understanding from Onboard Images. Yigit Baran Can, Alexander Liniger, Danda Pani Paudel, Luc Van Gool |
| 2021 | Structured Outdoor Architecture Reconstruction by Exploration and Classification. Fuyang Zhang, Xiang Xu, Nelson Nauata, Yasutaka Furukawa |
| 2021 | Student Customized Knowledge Distillation: Bridging the Gap Between Student and Teacher. Yichen Zhu, Yi Wang |
| 2021 | StyleCLIP: Text-Driven Manipulation of StyleGAN Imagery. Or Patashnik, Zongze Wu, Eli Shechtman, Daniel Cohen-Or, Dani Lischinski |
| 2021 | StyleFormer: Real-time Arbitrary Style Transfer via Parametric Style Composition. Xiaolei Wu, Zhihao Hu, Lu Sheng, Dong Xu |
| 2021 | Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks. Yikai Wang, Yi Yang, Fuchun Sun, Anbang Yao |
| 2021 | Summarize and Search: Learning Consensus-aware Dynamic Convolution for Co-Saliency Detection. Ni Zhang, Junwei Han, Nian Liu, Ling Shao |
| 2021 | Super Resolve Dynamic Scene from Continuous Spike Streams. Jing Zhao, Jiyu Xie, Ruiqin Xiong, Jian Zhang, Zhaofei Yu, Tiejun Huang |
| 2021 | Super-Resolving Cross-Domain Face Miniatures by Peeking at One-Shot Exemplar. Peike Li, Xin Yu, Yi Yang |
| 2021 | Superpoint Network for Point Cloud Oversegmentation. Le Hui, Jia Yuan, Mingmei Cheng, Jin Xie, Xiaoya Zhang, Jian Yang |
| 2021 | Support-Set Based Cross-Supervision for Video Grounding. Xinpeng Ding, Nannan Wang, Shiwei Zhang, De Cheng, Xiaomeng Li, Ziyuan Huang, Mingqian Tang, Xinbo Gao |
| 2021 | SurfGen: Adversarial 3D Shape Synthesis with Explicit Surface Discriminators. Andrew Luo, Tianqin Li, Wen-Hao Zhang, Tai Sing Lee |
| 2021 | SurfaceNet: Adversarial SVBRDF Estimation from a Single Image. Giuseppe Vecchio, Simone Palazzo, Concetto Spampinato |
| 2021 | Swin Transformer: Hierarchical Vision Transformer using Shifted Windows. Ze Liu, Yutong Lin, Yue Cao, Han Hu, Yixuan Wei, Zheng Zhang, Stephen Lin, Baining Guo |
| 2021 | Switchable K-class Hyperplanes for Noise-Robust Representation Learning. Boxiao Liu, Guanglu Song, Manyuan Zhang, Haihang You, Yu Liu |
| 2021 | SynFace: Face Recognition with Synthetic Data. Haibo Qiu, Baosheng Yu, Dihong Gong, Zhifeng Li, Wei Liu, Dacheng Tao |
| 2021 | Synchronization of Group-labelled Multi-graphs. Andrea Porfiri Dal Cin, Luca Magri, Federica Arrigoni, Andrea Fusiello, Giacomo Boracchi |
| 2021 | Syncretic Modality Collaborative Learning for Visible Infrared Person Re-Identification. Ziyu Wei, Xi Yang, Nannan Wang, Xinbo Gao |
| 2021 | Synthesis of Compositional Animations from Textual Descriptions. Anindita Ghosh, Noshaba Cheema, Cennet Oguz, Christian Theobalt, Philipp Slusallek |
| 2021 | Synthesized Feature based Few-Shot Class-Incremental Learning on a Mixture of Subspaces. Ali Cheraghian, Shafin Rahman, Sameera Ramasinghe, Pengfei Fang, Christian Simon, Lars Petersson, Mehrtash Harandi |
| 2021 | T-AutoML: Automated Machine Learning for Lesion Segmentation using Transformers in 3D Medical Imaging. Dong Yang, Andriy Myronenko, Xiaosong Wang, Ziyue Xu, Holger R. Roth, Daguang Xu |
| 2021 | T-Net: Effective Permutation-Equivariant Network for Two-View Correspondence Learning. Zhen Zhong, Guobao Xiao, Linxin Zheng, Yan Lu, Jiayi Ma |
| 2021 | T-SVDNet: Exploring High-Order Prototypical Correlations for Multi-Source Domain Adaptation. Ruihuang Li, Xu Jia, Jianzhong He, Shuaijun Chen, Qinghua Hu |
| 2021 | TACo: Token-aware Cascade Contrastive Learning for Video-Text Alignment. Jianwei Yang, Yonatan Bisk, Jianfeng Gao |
| 2021 | TAM: Temporal Adaptive Module for Video Recognition. Zhaoyang Liu, Limin Wang, Wayne Wu, Chen Qian, Tong Lu |
| 2021 | TF-Blender: Temporal Feature Blender for Video Object Detection. Yiming Cui, Liqi Yan, Zhiwen Cao, Dongfang Liu |
| 2021 | TGRNet: A Table Graph Reconstruction Network for Table Structure Recognition. Wenyuan Xue, Baosheng Yu, Wen Wang, Dacheng Tao, Qingyong Li |
| 2021 | THDA: Treasure Hunt Data Augmentation for Semantic Navigation. Oleksandr Maksymets, Vincent Cartillier, Aaron Gokaslan, Erik Wijmans, Wojciech Galuba, Stefan Lee, Dhruv Batra |
| 2021 | THUNDR: Transformer-based 3D HUmaN Reconstruction with Markers. Mihai Zanfir, Andrei Zanfir, Eduard Gabriel Bazavan, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu |
| 2021 | TMCOSS: Thresholded Multi-Criteria Online Subset Selection for Data-Efficient Autonomous Driving. Soumi Das, Harikrishna Patibandla, Suparna Bhattacharya, Kshounis Bera, Niloy Ganguly, Sourangshu Bhattacharya |
| 2021 | TOOD: Task-aligned One-stage Object Detection. Chengjian Feng, Yujie Zhong, Yu Gao, Matthew R. Scott, Weilin Huang |
| 2021 | TRAR: Routing the Attention Spans in Transformer for Visual Question Answering. Yiyi Zhou, Tianhe Ren, Chaoyang Zhu, Xiaoshuai Sun, Jianzhuang Liu, Xinghao Ding, Mingliang Xu, Rongrong Ji |
| 2021 | TRiPOD: Human Trajectory and Pose Dynamics Forecasting in the Wild. Vida Adeli, Mahsa Ehsanpour, Ian D. Reid, Juan Carlos Niebles, Silvio Savarese, Ehsan Adeli, Hamid Rezatofighi |
| 2021 | TS-CAM: Token Semantic Coupled Attention Map for Weakly Supervised Object Localization. Wei Gao, Fang Wan, Xingjia Pan, Zhiliang Peng, Qi Tian, Zhenjun Han, Bolei Zhou, Qixiang Ye |
| 2021 | Talk-to-Edit: Fine-Grained Facial Editing via Dialog. Yuming Jiang, Ziqi Huang, Xingang Pan, Chen Change Loy, Ziwei Liu |
| 2021 | Target Adaptive Context Aggregation for Video Scene Graph Generation. Yao Teng, Limin Wang, Zhifeng Li, Gangshan Wu |
| 2021 | Task Switching Network for Multi-task Learning. Guolei Sun, Thomas Probst, Danda Pani Paudel, Nikola Popovic, Menelaos Kanakis, Jagruti Patel, Dengxin Dai, Luc Van Gool |
| 2021 | Task-aware Part Mining Network for Few-Shot Learning. Jiamin Wu, Tianzhu Zhang, Yongdong Zhang, Feng Wu |
| 2021 | TeachText: CrossModal Generalized Distillation for Text-Video Retrieval. Ioana Croitoru, Simion-Vlad Bogolin, Marius Leordeanu, Hailin Jin, Andrew Zisserman, Samuel Albanie, Yang Liu |
| 2021 | Teacher-Student Adversarial Depth Hallucination to Improve Face Recognition. Hardik Uppal, Alireza Sepas-Moghaddam, Michael A. Greenspan, Ali Etemad |
| 2021 | Telling the What while Pointing to the Where: Multimodal Queries for Image Retrieval. Soravit Changpinyo, Jordi Pont-Tuset, Vittorio Ferrari, Radu Soricut |
| 2021 | TempNet: Online Semantic Segmentation on Large-scale Point Cloud Series. Yunsong Zhou, Hongzi Zhu, Chunqin Li, Tiankai Cui, Shan Chang, Minyi Guo |
| 2021 | Temporal Action Detection with Multi-level Supervision. Baifeng Shi, Qi Dai, Judy Hoffman, Kate Saenko, Trevor Darrell, Huijuan Xu |
| 2021 | Temporal Cue Guided Video Highlight Detection with Low-Rank Audio-Visual Fusion. Qinghao Ye, Xiyue Shen, Yuan Gao, Zirui Wang, Qi Bi, Ping Li, Guang Yang |
| 2021 | Temporal Knowledge Consistency for Unsupervised Visual Representation Learning. Weixin Feng, Yuanjiang Wang, Lihua Ma, Ye Yuan, Chi Zhang |
| 2021 | Temporal-wise Attention Spiking Neural Networks for Event Streams Classification. Man Yao, Huanhuan Gao, Guangshe Zhao, Dingheng Wang, Yihan Lin, Zhao-Xu Yang, Guoqi Li |
| 2021 | Temporally-Coherent Surface Reconstruction via Metric-Consistent Atlases. Jan Bednarík, Vladimir G. Kim, Siddhartha Chaudhuri, Shaifali Parashar, Mathieu Salzmann, Pascal Fua, Noam Aigerman |
| 2021 | Testing using Privileged Information by Adapting Features with Statistical Dependence. Kwang In Kim, James Tompkin |
| 2021 | Text is Text, No Matter What: Unifying Text Recognition using Knowledge Distillation. Ayan Kumar Bhunia, Aneeshan Sain, Pinaki Nath Chowdhury, Yi-Zhe Song |
| 2021 | The Animation Transformer: Visual Correspondence via Segment Matching. Evan Casey, Víctor Pérez, Zhuoru Li |
| 2021 | The Benefit of Distraction: Denoising Camera-Based Physiological Measurements using Inverse Attention. Ewa Magdalena Nowara, Daniel McDuff, Ashok Veeraraghavan |
| 2021 | The Center of Attention: Center-Keypoint Grouping via Attention for Multi-Person Pose Estimation. Guillem Brasó, Nikita Kister, Laura Leal-Taixé |
| 2021 | The Devil is in the Task: Exploiting Reciprocal Appearance-Localization Features for Monocular 3D Object Detection. Zhikang Zou, Xiaoqing Ye, Liang Du, Xianhui Cheng, Xiao Tan, Li Zhang, Jianfeng Feng, Xiangyang Xue, Errui Ding |
| 2021 | The Functional Correspondence Problem. Zihang Lai, Senthil Purushwalkam, Abhinav Gupta |
| 2021 | The Many Faces of Robustness: A Critical Analysis of Out-of-Distribution Generalization. Dan Hendrycks, Steven Basart, Norman Mu, Saurav Kadavath, Frank Wang, Evan Dorundo, Rahul Desai, Tyler Zhu, Samyak Parajuli, Mike Guo, Dawn Song, Jacob Steinhardt, Justin Gilmer |
| 2021 | The Power of Points for Modeling Humans in Clothing. Qianli Ma, Jinlong Yang, Siyu Tang, Michael J. Black |
| 2021 | The Pursuit of Knowledge: Discovering and Localizing Novel Categories using Dual Memory. Sai Saketh Rambhatla, Rama Chellappa, Abhinav Shrivastava |
| 2021 | The Right to Talk: An Audio-Visual Transformer Approach. Thanh-Dat Truong, Chi Nhan Duong, The De Vu, Hoang Anh Pham, Bhiksha Raj, Ngan Le, Khoa Luu |
| 2021 | The Road to Know-Where: An Object-and-Room Informed Sequential BERT for Indoor Vision-Language Navigation. Yuankai Qi, Zizheng Pan, Yicong Hong, Ming-Hsuan Yang, Anton van den Hengel, Qi Wu |
| 2021 | The Spatio-Temporal Poisson Point Process: A Simple Model for the Alignment of Event Camera Data. Cheng Gu, Erik G. Learned-Miller, Daniel Sheldon, Guillermo Gallego, Pia Bideau |
| 2021 | The Surprising Effectiveness of Visual Odometry Techniques for Embodied PointGoal Navigation. Xiaoming Zhao, Harsh Agrawal, Dhruv Batra, Alexander G. Schwing |
| 2021 | The Way to my Heart is through Contrastive Learning: Remote Photoplethysmography from Unlabelled Video. John Gideon, Simon Stent |
| 2021 | The surprising impact of mask-head architecture on novel class segmentation. Vighnesh Birodkar, Zhichao Lu, Siyang Li, Vivek Rathod, Jonathan Huang |
| 2021 | Three Steps to Multimodal Trajectory Prediction: Modality Clustering, Classification and Synthesis. Jianhua Sun, Yuxuan Li, Haoshu Fang, Cewu Lu |
| 2021 | Time-Equivariant Contrastive Video Representation Learning. Simon Jenni, Hailin Jin |
| 2021 | Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems. Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein, Henry Arguello |
| 2021 | TkML-AP: Adversarial Attacks to Top-k Multi-Label Learning. Shu Hu, Lipeng Ke, Xin Wang, Siwei Lyu |
| 2021 | TokenPose: Learning Keypoint Tokens for Human Pose Estimation. YanJie Li, Shoukui Zhang, Zhicheng Wang, Sen Yang, Wankou Yang, Shu-Tao Xia, Erjin Zhou |
| 2021 | Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet. Li Yuan, Yunpeng Chen, Tao Wang, Weihao Yu, Yujun Shi, Zihang Jiang, Francis E. H. Tay, Jiashi Feng, Shuicheng Yan |
| 2021 | Topic Scene Graph Generation by Attention Distillation from Caption. Wenbin Wang, Ruiping Wang, Xilin Chen |
| 2021 | Topologically Consistent Multi-View Face Inference Using Volumetric Sampling. Tianye Li, Shichen Liu, Timo Bolkart, Jiayi Liu, Hao Li, Yajie Zhao |
| 2021 | Toward Human-Like Grasp: Dexterous Grasping via Semantic Representation of Object-Hand. Tianqiang Zhu, Rina Wu, Xiangbo Lin, Yi Sun |
| 2021 | Toward Realistic Single-View 3D Object Reconstruction with Unsupervised Learning from Multiple Images. Long-Nhat Ho, Anh Tuan Tran, Quynh Phung, Minh Hoai |
| 2021 | Toward Spatially Unbiased Generative Models. Jooyoung Choi, Jungbeom Lee, Yonghyun Jeong, Sungroh Yoon |
| 2021 | Toward a Visual Concept Vocabulary for GAN Latent Space. Sarah Schwettmann, Evan Hernandez, David Bau, Samuel Klein, Jacob Andreas, Antonio Torralba |
| 2021 | Towards A Universal Model for Cross-Dataset Crowd Counting. Zhiheng Ma, Xiaopeng Hong, Xing Wei, Yunfeng Qiu, Yihong Gong |
| 2021 | Towards Accurate Alignment in Real-time 3D Hand-Mesh Reconstruction. Xiao Tang, Tianyu Wang, Chi-Wing Fu |
| 2021 | Towards Alleviating the Modeling Ambiguity of Unsupervised Monocular 3D Human Pose Estimation. Zhenbo Yu, Bingbing Ni, Jingwei Xu, Junjie Wang, Chenglong Zhao, Wenjun Zhang |
| 2021 | Towards Better Explanations of Class Activation Mapping. Hyungsik Jung, Youngrock Oh |
| 2021 | Towards Complete Scene and Regular Shape for Distortion Rectification by Curve-Aware Extrapolation. Kang Liao, Chunyu Lin, Yunchao Wei, Feng Li, Shangrong Yang, Yao Zhao |
| 2021 | Towards Discovery and Attribution of Open-world GAN Generated Images. Sharath Girish, Saksham Suri, Sai Saketh Rambhatla, Abhinav Shrivastava |
| 2021 | Towards Discriminative Representation Learning for Unsupervised Person Re-identification. Takashi Isobe, Dong Li, Lu Tian, Weihua Chen, Yi Shan, Shengjin Wang |
| 2021 | Towards Efficient Graph Convolutional Networks for Point Cloud Handling. Yawei Li, He Chen, Zhaopeng Cui, Radu Timofte, Marc Pollefeys, Gregory S. Chirikjian, Luc Van Gool |
| 2021 | Towards Face Encryption by Generating Adversarial Identity Masks. Xiao Yang, Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu, Yuefeng Chen, Hui Xue |
| 2021 | Towards Flexible Blind JPEG Artifacts Removal. Jiaxi Jiang, Kai Zhang, Radu Timofte |
| 2021 | Towards High Fidelity Monocular Face Reconstruction with Rich Reflectance using Self-supervised Learning and Ray Tracing. Abdallah Dib, Cédric Thébault, Junghyun Ahn, Philippe-Henri Gosselin, Christian Theobalt, Louis Chevallier |
| 2021 | Towards Interpretable Deep Metric Learning with Structural Matching. Wenliang Zhao, Yongming Rao, Ziyi Wang, Jiwen Lu, Jie Zhou |
| 2021 | Towards Interpretable Deep Networks for Monocular Depth Estimation. Zunzhi You, Yi-Hsuan Tsai, Wei-Chen Chiu, Guanbin Li |
| 2021 | Towards Learning Spatially Discriminative Feature Representations. Chaofei Wang, Jiayu Xiao, Yizeng Han, Qisen Yang, Shiji Song, Gao Huang |
| 2021 | Towards Memory-Efficient Neural Networks via Multi-Level in situ Generation. Jiaqi Gu, Hanqing Zhu, Chenghao Feng, Mingjie Liu, Zixuan Jiang, Ray T. Chen, David Z. Pan |
| 2021 | Towards Mixed-Precision Quantization of Neural Networks via Constrained Optimization. Weihan Chen, Peisong Wang, Jian Cheng |
| 2021 | Towards Novel Target Discovery Through Open-Set Domain Adaptation. Taotao Jing, Hongfu Liu, Zhengming Ding |
| 2021 | Towards Real-World Prohibited Item Detection: A Large-Scale X-ray Benchmark. Boying Wang, Libo Zhang, Longyin Wen, Xianglong Liu, Yanjun Wu |
| 2021 | Towards Real-world X-ray Security Inspection: A High-Quality Benchmark And Lateral Inhibition Module For Prohibited Items Detection. Renshuai Tao, Yanlu Wei, Xiangjian Jiang, Hainan Li, Haotong Qin, Jiakai Wang, Yuqing Ma, Libo Zhang, Xianglong Liu |
| 2021 | Towards Robustness of Deep Neural Networks via Regularization. Yao Li, Martin Renqiang Min, Thomas C. M. Lee, Wenchao Yu, Erik Kruus, Wei Wang, Cho-Jui Hsieh |
| 2021 | Towards Rotation Invariance in Object Detection. Agastya Kalra, Guy Stoppi, Bradley Brown, Rishav Agarwal, Achuta Kadambi |
| 2021 | Towards Understanding the Generative Capability of Adversarially Robust Classifiers. Yao Zhu, Jiacheng Ma, Jiacheng Sun, Zewei Chen, Rongxin Jiang, Yaowu Chen, Zhenguo Li |
| 2021 | Towards Vivid and Diverse Image Colorization with Generative Color Prior. Yanze Wu, Xintao Wang, Yu Li, Honglun Zhang, Xun Zhao, Ying Shan |
| 2021 | Towards the Unseen: Iterative Text Recognition by Distilling from Errors. Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song |
| 2021 | Towers of Babel: Combining Images, Language, and 3D Geometry for Learning Multimodal Vision. Xiaoshi Wu, Hadar Averbuch-Elor, Jin Sun, Noah Snavely |
| 2021 | Track without Appearance: Learn Box and Tracklet Embedding with Local and Global Motion Patterns for Vehicle Tracking. Gaoang Wang, Renshu Gu, Zuozhu Liu, Weijie Hu, Mingli Song, Jenq-Neng Hwang |
| 2021 | Training Multi-Object Detector by Estimating Bounding Box Distribution for Input Image. Jaeyoung Yoo, Hojun Lee, Inseop Chung, Geonseok Seo, Nojun Kwak |
| 2021 | Training Weakly Supervised Video Frame Interpolation with Events. Zhiyang Yu, Yu Zhang, Deyuan Liu, Dongqing Zou, Xijun Chen, Yebin Liu, Jimmy S. Ren |
| 2021 | TransFER: Learning Relation-aware Facial Expression Representations with Transformers. Fanglei Xue, Qiangchang Wang, Guodong Guo |
| 2021 | TransForensics: Image Forgery Localization with Dense Self-Attention. Jing Hao, Zhixin Zhang, Shicai Yang, Di Xie, Shiliang Pu |
| 2021 | TransPose: Keypoint Localization via Transformer. Sen Yang, Zhibin Quan, Mu Nie, Wankou Yang |
| 2021 | TransReID: Transformer-based Object Re-Identification. Shuting He, Hao Luo, Pichao Wang, Fan Wang, Hao Li, Wei Jiang |
| 2021 | TransVG: End-to-End Visual Grounding with Transformers. Jiajun Deng, Zhengyuan Yang, Tianlang Chen, Wengang Zhou, Houqiang Li |
| 2021 | TransView: Inside, Outside, and Across the Cropping View Boundaries. Zhiyu Pan, Zhiguo Cao, Kewei Wang, Hao Lu, Weicai Zhong |
| 2021 | Transductive Few-Shot Classification on the Oblique Manifold. Guodong Qi, Huimin Yu, Zhaohui Lu, Shuzhao Li |
| 2021 | TransferI2I: Transfer Learning for Image-to-Image Translation from Small Datasets. Yaxing Wang, Héctor Laria Mantecon, Joost van de Weijer, Laura Lopez-Fuentes, Bogdan Raducanu |
| 2021 | Transformer-Based Attention Networks for Continuous Pixel-Wise Prediction. Guanglei Yang, Hao Tang, Mingli Ding, Nicu Sebe, Elisa Ricci |
| 2021 | Transformer-based Dual Relation Graph for Multi-label Image Recognition. Jiawei Zhao, Ke Yan, Yifan Zhao, Xiaowei Guo, Feiyue Huang, Jia Li |
| 2021 | Transforms based Tensor Robust PCA: Corrupted Low-Rank Tensors Recovery via Convex Optimization. Canyi Lu |
| 2021 | Transfusion: A Novel SLAM Method Focused on Transparent Objects. Yifan Zhu, Jiaxiong Qiu, Bo Ren |
| 2021 | Transparent Object Tracking Benchmark. Heng Fan, Halady Akhilesha Miththanthaya, Harshit, Siranjiv Ramana Rajan, Xiaoqiong Liu, Zhilin Zou, Yuewei Lin, Haibin Ling |
| 2021 | Transporting Causal Mechanisms for Unsupervised Domain Adaptation. Zhongqi Yue, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang |
| 2021 | Trash to Treasure: Harvesting OOD Data with Cross-Modal Matching for Open-Set Semi-Supervised Learning. Junkai Huang, Chaowei Fang, Weikai Chen, Zhenhua Chai, Xiaolin Wei, Pengxu Wei, Liang Lin, Guanbin Li |
| 2021 | TravelNet: Self-supervised Physically Plausible Hand Motion Learning from Monocular Color Images. Zimeng Zhao, Xi Zhao, Yangang Wang |
| 2021 | Triggering Failures: Out-Of-Distribution detection by learning from local adversarial attacks in Semantic Segmentation. Victor Besnier, Andrei Bursuc, David Picard, Alexandre Briot |
| 2021 | Tripartite Information Mining and Integration for Image Matting. Yuhao Liu, Jiake Xie, Xiao Shi, Yu Qiao, Yujie Huang, Yong Tang, Xin Yang |
| 2021 | TrivialAugment: Tuning-free Yet State-of-the-Art Data Augmentation. Samuel G. Müller, Frank Hutter |
| 2021 | Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density. Kuniaki Saito, Donghyun Kim, Piotr Teterwak, Stan Sclaroff, Trevor Darrell, Kate Saenko |
| 2021 | UASNet: Uncertainty Adaptive Sampling Network for Deep Stereo Matching. Yamin Mao, Zhihua Liu, Weiming Li, Yuchao Dai, Qiang Wang, Yun-Tae Kim, Hong-Seok Lee |
| 2021 | UNISURF: Unifying Neural Implicit Surfaces and Radiance Fields for Multi-View Reconstruction. Michael Oechsle, Songyou Peng, Andreas Geiger |
| 2021 | UVStyle-Net: Unsupervised Few-shot Learning of 3D Style Similarity Measure for B-Reps. Peter Meltzer, Hooman Shayani, Amir Khasahmadi, Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne |
| 2021 | Ultra-High-Definition Image HDR Reconstruction via Collaborative Bilateral Learning. Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Tao Wang, Xiuyi Jia |
| 2021 | UltraPose: Synthesizing Dense Pose with 1 Billion Points by Human-body Decoupling 3D Model. Haonan Yan, Jiaqi Chen, Xujie Zhang, Shengkai Zhang, Nianhong Jiao, Xiaodan Liang, Tianxiang Zheng |
| 2021 | Unaligned Image-to-Image Translation by Learning to Reweight. Shaoan Xie, Mingming Gong, Yanwu Xu, Kun Zhang |
| 2021 | Uncertainty-Aware Human Mesh Recovery from Video by Learning Part-Based 3D Dynamics. Gun-Hee Lee, Seong-Whan Lee |
| 2021 | Uncertainty-Guided Transformer Reasoning for Camouflaged Object Detection. Fan Yang, Qiang Zhai, Xin Li, Rui Huang, Ao Luo, Hong Cheng, Deng-Ping Fan |
| 2021 | Uncertainty-aware Pseudo Label Refinery for Domain Adaptive Semantic Segmentation. Yuxi Wang, Junran Peng, Zhaoxiang Zhang |
| 2021 | Unconditional Scene Graph Generation. Sarthak Garg, Helisa Dhamo, Azade Farshad, Sabrina Musatian, Nassir Navab, Federico Tombari |
| 2021 | Unconstrained Scene Generation with Locally Conditioned Radiance Fields. Terrance DeVries, Miguel Ángel Bautista, Nitish Srivastava, Graham W. Taylor, Joshua M. Susskind |
| 2021 | Understanding Robustness of Transformers for Image Classification. Srinadh Bhojanapalli, Ayan Chakrabarti, Daniel Glasner, Daliang Li, Thomas Unterthiner, Andreas Veit |
| 2021 | Understanding and Evaluating Racial Biases in Image Captioning. Dora Zhao, Angelina Wang, Olga Russakovsky |
| 2021 | Understanding and Mitigating Annotation Bias in Facial Expression Recognition. Yunliang Chen, Jungseock Joo |
| 2021 | UniT: Multimodal Multitask Learning with a Unified Transformer. Ronghang Hu, Amanpreet Singh |
| 2021 | Unidentified Video Objects: A Benchmark for Dense, Open-World Segmentation. Weiyao Wang, Matt Feiszli, Heng Wang, Du Tran |
| 2021 | Unified Graph Structured Models for Video Understanding. Anurag Arnab, Chen Sun, Cordelia Schmid |
| 2021 | Unified Questioner Transformer for Descriptive Question Generation in Goal-Oriented Visual Dialogue. Shoya Matsumori, Kosuke Shingyouchi, Yuki Abe, Yosuke Fukuchi, Komei Sugiura, Michita Imai |
| 2021 | Uniformity in Heterogeneity: Diving Deep into Count Interval Partition for Crowd Counting. Changan Wang, Qingyu Song, Boshen Zhang, Yabiao Wang, Ying Tai, Xuyi Hu, Chengjie Wang, Jilin Li, Jiayi Ma, Yang Wu |
| 2021 | Unifying Nonlocal Blocks for Neural Networks. Lei Zhu, Qi She, Duo Li, Yanye Lu, Xuejing Kang, Jie Hu, Changhu Wang |
| 2021 | Universal Cross-Domain Retrieval: Generalizing Across Classes and Domains. Soumava Paul, Titir Dutta, Soma Biswas |
| 2021 | Universal Representation Learning from Multiple Domains for Few-shot Classification. Wei-Hong Li, Xialei Liu, Hakan Bilen |
| 2021 | Universal and Flexible Optical Aberration Correction Using Deep-Prior Based Deconvolution. Xiu Li, Jinli Suo, Weihang Zhang, Xin Yuan, Qionghai Dai |
| 2021 | Universal-Prototype Enhancing for Few-Shot Object Detection. Aming Wu, Yahong Han, Linchao Zhu, Yi Yang |
| 2021 | Unlimited Neighborhood Interaction for Heterogeneous Trajectory Prediction. Fang Zheng, Le Wang, Sanping Zhou, Wei Tang, Zhenxing Niu, Nanning Zheng, Gang Hua |
| 2021 | Unlocking the Potential of Ordinary Classifier: Class-specific Adversarial Erasing Framework for Weakly Supervised Semantic Segmentation. Hyeokjun Kweon, Sung-Hoon Yoon, Hyeonseong Kim, Daehee Park, Kuk-Jin Yoon |
| 2021 | Unpaired Learning for Deep Image Deraining with Rain Direction Regularizer. Yang Liu, Ziyu Yue, Jinshan Pan, Zhixun Su |
| 2021 | Unpaired Learning for High Dynamic Range Image Tone Mapping. Yael Vinker, Inbar Huberman-Spiegelglas, Raanan Fattal |
| 2021 | Unshuffling Data for Improved Generalization in Visual Question Answering. Damien Teney, Ehsan Abbasnejad, Anton van den Hengel |
| 2021 | Unsupervised 3D Pose Estimation for Hierarchical Dance Video Recognition Xiaodan Hu, Narendra Ahuja |
| 2021 | Unsupervised Curriculum Domain Adaptation for No-Reference Video Quality Assessment. Pengfei Chen, Leida Li, Jinjian Wu, Weisheng Dong, Guangming Shi |
| 2021 | Unsupervised Deep Video Denoising. Dev Yashpal Sheth, Sreyas Mohan, Joshua L. Vincent, Ramon Manzorro, Peter A. Crozier, Mitesh M. Khapra, Eero P. Simoncelli, Carlos Fernandez-Granda |
| 2021 | Unsupervised Dense Deformation Embedding Network for Template-Free Shape Correspondence. Ronghan Chen, Yang Cong, Jiahua Dong |
| 2021 | Unsupervised Depth Completion with Calibrated Backprojection Layers. Alex Wong, Stefano Soatto |
| 2021 | Unsupervised Domain Adaptive 3D Detection with Multi-Level Consistency. Zhipeng Luo, Zhongang Cai, Changqing Zhou, Gongjie Zhang, Haiyu Zhao, Shuai Yi, Shijian Lu, Hongsheng Li, Shanghang Zhang, Ziwei Liu |
| 2021 | Unsupervised Few-Shot Action Recognition via Action-Appearance Aligned Meta-Adaptation. Jay Patravali, Gaurav Mittal, Ye Yu, Fuxin Li, Mei Chen |
| 2021 | Unsupervised Image Generation with Infinite Generative Adversarial Networks. Hui Ying, He Wang, Tianjia Shao, Yin Yang, Kun Zhou |
| 2021 | Unsupervised Layered Image Decomposition into Object Prototypes. Tom Monnier, Elliot Vincent, Jean Ponce, Mathieu Aubry |
| 2021 | Unsupervised Learning of Fine Structure Generation for 3D Point Clouds by 2D Projection Matching. Chao Chen, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker |
| 2021 | Unsupervised Non-Rigid Image Distortion Removal via Grid Deformation. Nianyi Li, Simron Thapa, Cameron Whyte, Albert W. Reed, Suren Jayasuriya, Jinwei Ye |
| 2021 | Unsupervised Point Cloud Object Co-segmentation by Co-contrastive Learning and Mutual Attention Sampling. Cheng-Kun Yang, Yung-Yu Chuang, Yen-Yu Lin |
| 2021 | Unsupervised Point Cloud Pre-training via Occlusion Completion. Hanchen Wang, Qi Liu, Xiangyu Yue, Joan Lasenby, Matt J. Kusner |
| 2021 | Unsupervised Real-World Super-Resolution: A Domain Adaptation Perspective. Wei Wang, Haochen Zhang, Zehuan Yuan, Changhu Wang |
| 2021 | Unsupervised Segmentation incorporating Shape Prior via Generative Adversarial Networks. Dahye Kim, Byung-Woo Hong |
| 2021 | Unsupervised Semantic Segmentation by Contrasting Object Mask Proposals. Wouter Van Gansbeke, Simon Vandenhende, Stamatios Georgoulis, Luc Van Gool |
| 2021 | V-DESIRR: Very Fast Deep Embedded Single Image Reflection Removal. B. H. Pawan Prasad, Green Rosh K. S, R. B. Lokesh, Kaushik Mitra, Sanjoy Chowdhury |
| 2021 | VENet: Voting Enhancement Network for 3D Object Detection. Qian Xie, Yu-Kun Lai, Jing Wu, Zhoutao Wang, Dening Lu, Mingqiang Wei, Jun Wang |
| 2021 | VIL-100: A New Dataset and A Baseline Model for Video Instance Lane Detection. Yujun Zhang, Lei Zhu, Wei Feng, Huazhu Fu, Mingqian Wang, Qingxia Li, Cheng Li, Song Wang |
| 2021 | VLGrammar: Grounded Grammar Induction of Vision and Language. Yining Hong, Qing Li, Song-Chun Zhu, Siyuan Huang |
| 2021 | VMNet: Voxel-Mesh Network for Geodesic-Aware 3D Semantic Segmentation. Zeyu Hu, Xuyang Bai, Jiaxiang Shang, Runze Zhang, Jiayu Dong, Xin Wang, Guangyuan Sun, Hongbo Fu, Chiew-Lan Tai |
| 2021 | VSAC: Efficient and Accurate Estimator for H and F. Maksym Ivashechkin, Daniel Barath, Jirí Matas |
| 2021 | VaPiD: A Rapid Vanishing Point Detector via Learned Optimizers. Shichen Liu, Yichao Zhou, Yajie Zhao |
| 2021 | VariTex: Variational Neural Face Textures. Marcel C. Bühler, Abhimitra Meka, Gengyan Li, Thabo Beeler, Otmar Hilliges |
| 2021 | Variable-Rate Deep Image Compression through Spatially-Adaptive Feature Transform. Myungseo Song, Jinyoung Choi, Bohyung Han |
| 2021 | Variational Attention: Propagating Domain-Specific Knowledge for Multi-Domain Learning in Crowd Counting. Binghui Chen, Zhaoyi Yan, Ke Li, Pengyu Li, Biao Wang, Wangmeng Zuo, Lei Zhang |
| 2021 | Variational Feature Disentangling for Fine-Grained Few-Shot Classification. Jingyi Xu, Hieu Le, Mingzhen Huang, Shahrukh Athar, Dimitris Samaras |
| 2021 | Vector Neurons: A General Framework for SO(3)-Equivariant Networks. Congyue Deng, Or Litany, Yueqi Duan, Adrien Poulenard, Andrea Tagliasacchi, Leonidas J. Guibas |
| 2021 | Vector-Decomposed Disentanglement for Domain-Invariant Object Detection. Aming Wu, Rui Liu, Yahong Han, Linchao Zhu, Yi Yang |
| 2021 | Vi Ali Diba, Vivek Sharma, Reza Safdari, Dariush Lotfi, M. Saquib Sarfraz, Rainer Stiefelhagen, Luc Van Gool |
| 2021 | ViViT: A Video Vision Transformer. Anurag Arnab, Mostafa Dehghani, Georg Heigold, Chen Sun, Mario Lucic, Cordelia Schmid |
| 2021 | VidTr: Video Transformer Without Convolutions. Yanyi Zhang, Xinyu Li, Chunhui Liu, Bing Shuai, Yi Zhu, Biagio Brattoli, Hao Chen, Ivan Marsic, Joseph Tighe |
| 2021 | Video Annotation for Visual Tracking via Selection and Refinement. Kenan Dai, Jie Zhao, Lijun Wang, Dong Wang, Jianhua Li, Huchuan Lu, Xuesheng Qian, Xiaoyun Yang |
| 2021 | Video Autoencoder: self-supervised disentanglement of static 3D structure and motion. Zihang Lai, Sifei Liu, Alexei A. Efros, Xiaolong Wang |
| 2021 | Video Geo-Localization Employing Geo-Temporal Feature Learning and GPS Trajectory Smoothing. Krishna Regmi, Mubarak Shah |
| 2021 | Video Instance Segmentation with a Propose-Reduce Paradigm. Huaijia Lin, Ruizheng Wu, Shu Liu, Jiangbo Lu, Jiaya Jia |
| 2021 | Video Matting via Consistency-Regularized Graph Neural Networks. Tiantian Wang, Sifei Liu, Yapeng Tian, Kai Li, Ming-Hsuan Yang |
| 2021 | Video Object Segmentation with Dynamic Memory Networks and Adaptive Object Alignment. Shuxian Liang, Xu Shen, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | Video Pose Distillation for Few-Shot, Fine-Grained Sports Action Recognition. James Hong, Matthew Fisher, Michaël Gharbi, Kayvon Fatahalian |
| 2021 | Video Question Answering Using Language-Guided Deep Compressed-Domain Video Feature. Nayoung Kim, Seong Jong Ha, Je-Won Kang |
| 2021 | Video Self-Stitching Graph Network for Temporal Action Localization. Chen Zhao, Ali K. Thabet, Bernard Ghanem |
| 2021 | Video-based Person Re-identification with Spatial and Temporal Memory Networks. Chanho Eom, Geon Lee, Junghyup Lee, Bumsub Ham |
| 2021 | VideoLT: Large-scale Long-tailed Video Recognition. Xing Zhang, Zuxuan Wu, Zejia Weng, Huazhu Fu, Jingjing Chen, Yu-Gang Jiang, Larry Davis |
| 2021 | ViewNet: Unsupervised Viewpoint Estimation from Conditional Generation. Octave Mariotti, Oisin Mac Aodha, Hakan Bilen |
| 2021 | Viewing Graph Solvability via Cycle Consistency. Federica Arrigoni, Andrea Fusiello, Elisa Ricci, Tomás Pajdla |
| 2021 | Viewpoint Invariant Dense Matching for Visual Geolocalization. Gabriele Moreno Berton, Carlo Masone, Valerio Paolicelli, Barbara Caputo |
| 2021 | Viewpoint-Agnostic Change Captioning with Cycle Consistency. Hoeseong Kim, Jongseok Kim, Hyungseok Lee, Hyunsung Park, Gunhee Kim |
| 2021 | Virtual Multi-Modality Self-Supervised Foreground Matting for Human-Object Interaction. Bo Xu, Han Huang, Cheng Lu, Ziwen Li, Yandong Guo |
| 2021 | Virtual light transport matrices for non-line-of-sight imaging. Julio Marco, Adrián Jarabo, Ji Hyun Nam, Xiaochun Liu, Miguel Ángel Cosculluela, Andreas Velten, Diego Gutierrez |
| 2021 | Vis2Mesh: Efficient Mesh Reconstruction from Unstructured Point Clouds of Large Scenes with Learned Virtual View Visibility. Shuang Song, Zhaopeng Cui, Rongjun Qin |
| 2021 | Visformer: The Vision-friendly Transformer. Zhengsu Chen, Lingxi Xie, Jianwei Niu, Xuefeng Liu, Longhui Wei, Qi Tian |
| 2021 | Visio-Temporal Attention for Multi-Camera Multi-Target Association. Yu-Jhe Li, Xinshuo Weng, Yan Xu, Kris Kitani |
| 2021 | Vision Transformer with Progressive Sampling. Xiaoyu Yue, Shuyang Sun, Zhanghui Kuang, Meng Wei, Philip H. S. Torr, Wayne Zhang, Dahua Lin |
| 2021 | Vision Transformers for Dense Prediction. René Ranftl, Alexey Bochkovskiy, Vladlen Koltun |
| 2021 | Vision-Language Navigation with Random Environmental Mixup. Chong Liu, Fengda Zhu, Xiaojun Chang, Xiaodan Liang, Zongyuan Ge, Yi-Dong Shen |
| 2021 | Vision-Language Transformer and Query Generation for Referring Segmentation. Henghui Ding, Chang Liu, Suchen Wang, Xudong Jiang |
| 2021 | Visual Alignment Constraint for Continuous Sign Language Recognition. Yuecong Min, Aiming Hao, Xiujuan Chai, Xilin Chen |
| 2021 | Visual Distant Supervision for Scene Graph Generation. Yuan Yao, Ao Zhang, Xu Han, Mengdi Li, Cornelius Weber, Zhiyuan Liu, Stefan Wermter, Maosong Sun |
| 2021 | Visual Graph Memory with Unsupervised Representation for Visual Navigation. Obin Kwon, Nuri Kim, Yunho Choi, Hwiyeon Yoo, Jeongho Park, Songhwai Oh |
| 2021 | Visual Relationship Detection Using Part-and-Sum Transformers with Composite Queries. Qi Dong, Zhuowen Tu, Haofu Liao, Yuting Zhang, Vijay Mahadevan, Stefano Soatto |
| 2021 | Visual Saliency Transformer. Nian Liu, Ni Zhang, Kaiyuan Wan, Ling Shao, Junwei Han |
| 2021 | Visual Scene Graphs for Audio Source Separation. Moitreya Chatterjee, Jonathan Le Roux, Narendra Ahuja, Anoop Cherian |
| 2021 | Visual Transformers: Where Do Transformers Really Belong in Vision Models? Bichen Wu, Chenfeng Xu, Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Zhicheng Yan, Masayoshi Tomizuka, Joseph Gonzalez, Kurt Keutzer, Peter Vajda |
| 2021 | Visual-Textual Attentive Semantic Consistency for Medical Report Generation. Yi Zhou, Lei Huang, Tao Zhou, Huazhu Fu, Ling Shao |
| 2021 | VolumeFusion: Deep Depth Fusion for 3D Scene Reconstruction. Jaesung Choe, Sunghoon Im, François Rameau, Minjun Kang, In So Kweon |
| 2021 | Voxel Transformer for 3D Object Detection. Jiageng Mao, Yujing Xue, Minzhe Niu, Haoyue Bai, Jiashi Feng, Xiaodan Liang, Hang Xu, Chunjing Xu |
| 2021 | Voxel-based Network for Shape Completion by Leveraging Edge Generation. Xiaogang Wang, Marcelo H. Ang, Gim Hee Lee |
| 2021 | WB-DETR: Transformer-Based Detector without Backbone. Fanfan Liu, Haoran Wei, Wenzhe Zhao, Guozhen Li, Jingquan Peng, Zihao Li |
| 2021 | Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis. Tiange Xiang, Chaoyi Zhang, Yang Song, Jianhui Yu, Weidong Cai |
| 2021 | Wanderlust: Online Continual Object Detection in the Real World. Jianren Wang, Xin Wang, Yue Shang-Guan, Abhinav Gupta |
| 2021 | Warp Consistency for Unsupervised Learning of Dense Correspondences. Prune Truong, Martin Danelljan, Fisher Yu, Luc Van Gool |
| 2021 | Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency. Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon |
| 2021 | WarpedGANSpace: Finding non-linear RBF paths in GAN latent space. Christos Tzelepis, Georgios Tzimiropoulos, Ioannis Patras |
| 2021 | Wasserstein Coupled Graph Learning for Cross-Modal Retrieval. Yun Wang, Tong Zhang, Xueya Zhang, Zhen Cui, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jian Yang |
| 2021 | Watch Only Once: An End-to-End Video Action Detection Framework. Shoufa Chen, Peize Sun, Enze Xie, Chongjian Ge, Jiannan Wu, Lan Ma, Jiajun Shen, Ping Luo |
| 2021 | WaveFill: A Wavelet-based Generation Network for Image Inpainting. Yingchen Yu, Fangneng Zhan, Shijian Lu, Jianxiong Pan, Feiying Ma, Xuansong Xie, Chunyan Miao |
| 2021 | Waypoint Models for Instruction-guided Navigation in Continuous Environments. Jacob Krantz, Aaron Gokaslan, Dhruv Batra, Stefan Lee, Oleksandr Maksymets |
| 2021 | Weak Adaptation Learning: Addressing Cross-domain Data Insufficiency with Weak Annotator. Shichao Xu, Lixu Wang, Yixuan Wang, Qi Zhu |
| 2021 | Weakly Supervised 3D Semantic Segmentation Using Cross-Image Consensus and Inter-Voxel Affinity Relations. Xiaoyu Zhu, Jeffrey Chen, Xiangrui Zeng, Junwei Liang, Chengqi Li, Sinuo Liu, Sima Behpour, Min Xu |
| 2021 | Weakly Supervised Contrastive Learning. Mingkai Zheng, Fei Wang, Shan You, Chen Qian, Changshui Zhang, Xiaogang Wang, Chang Xu |
| 2021 | Weakly Supervised Human-Object Interaction Detection in Video via Contrastive Spatiotemporal Regions. Shuang Li, Yilun Du, Antonio Torralba, Josef Sivic, Bryan C. Russell |
| 2021 | Weakly Supervised Person Search with Region Siamese Networks. Chuchu Han, Kai Su, Dongdong Yu, Zehuan Yuan, Changxin Gao, Nong Sang, Yi Yang, Changhu Wang |
| 2021 | Weakly Supervised Relative Spatial Reasoning for Visual Question Answering. Pratyay Banerjee, Tejas Gokhale, Yezhou Yang, Chitta Baral |
| 2021 | Weakly Supervised Representation Learning with Coarse Labels. Yuanhong Xu, Qi Qian, Hao Li, Rong Jin, Juhua Hu |
| 2021 | Weakly Supervised Segmentation of Small Buildings with Point Labels. Jae-Hun Lee, Chanyoung Kim, Sanghoon Sull |
| 2021 | Weakly Supervised Temporal Anomaly Segmentation with Dynamic Time Warping. Dongha Lee, Sehun Yu, Hyunjun Ju, Hwanjo Yu |
| 2021 | Weakly Supervised Text-based Person Re-Identification. Shizhen Zhao, Changxin Gao, Yuanjie Shao, Wei-Shi Zheng, Nong Sang |
| 2021 | Weakly-Supervised Action Segmentation and Alignment via Transcript-Aware Union-of-Subspaces Learning. Zijia Lu, Ehsan Elhamifar |
| 2021 | Weakly-supervised Video Anomaly Detection with Robust Temporal Feature Magnitude Learning. Yu Tian, Guansong Pang, Yuanhong Chen, Rajvinder Singh, Johan W. Verjans, Gustavo Carneiro |
| 2021 | Webly Supervised Fine-Grained Recognition: Benchmark Datasets and An Approach. Zeren Sun, Yazhou Yao, Xiu-Shen Wei, Yongshun Zhang, Fumin Shen, Jianxin Wu, Jian Zhang, Heng Tao Shen |
| 2021 | What You Can Learn by Staring at a Blank Wall. Prafull Sharma, Miika Aittala, Yoav Y. Schechner, Antonio Torralba, Gregory W. Wornell, William T. Freeman, Frédo Durand |
| 2021 | When Pigs Fly: Contextual Reasoning in Synthetic and Natural Scenes. Philipp Bomatter, Mengmi Zhang, Dimitar Karev, Spandan Madan, Claire Tseng, Gabriel Kreiman |
| 2021 | When do GANs replicate? On the choice of dataset size. Qianli Feng, Chenqi Guo, Fabian Benitez-Quiroz, Aleix M. Martínez |
| 2021 | Where are you heading? Dynamic Trajectory Prediction with Expert Goal Examples. He Zhao, Richard P. Wildes |
| 2021 | Where2Act: From Pixels to Actions for Articulated 3D Objects. Kaichun Mo, Leonidas J. Guibas, Mustafa Mukadam, Abhinav Gupta, Shubham Tulsiani |
| 2021 | Who's Waldo? Linking People Across Text and Images. Claire Yuqing Cui, Apoorv Khandelwal, Yoav Artzi, Noah Snavely, Hadar Averbuch-Elor |
| 2021 | Why Approximate Matrix Square Root Outperforms Accurate SVD in Global Covariance Pooling? Yue Song, Nicu Sebe, Wei Wang |
| 2021 | With a Little Help from My Friends: Nearest-Neighbor Contrastive Learning of Visual Representations. Debidatta Dwibedi, Yusuf Aytar, Jonathan Tompson, Pierre Sermanet, Andrew Zisserman |
| 2021 | Worldsheet: Wrapping the World in a 3D Sheet for View Synthesis from a Single Image. Ronghang Hu, Nikhila Ravi, Alexander C. Berg, Deepak Pathak |
| 2021 | X-World: Accessibility, Vision, and Autonomy Meet. Jimuyang Zhang, Minglan Zheng, Matthew Boyd, Eshed Ohn-Bar |
| 2021 | XVFI: eXtreme Video Frame Interpolation. Hyeonjun Sim, Jihyong Oh, Munchurl Kim |
| 2021 | You Don't Only Look Once: Constructing Spatial-Temporal Memory for Integrated 3D Object Detection and Tracking. Jiaming Sun, Yiming Xie, Siyu Zhang, Linghao Chen, Guofeng Zhang, Hujun Bao, Xiaowei Zhou |
| 2021 | YouRefIt: Embodied Reference Understanding with Language and Gesture. Yixin Chen, Qing Li, Deqian Kong, Yik Lun Kei, Song-Chun Zhu, Tao Gao, Yixin Zhu, Siyuan Huang |
| 2021 | Z-Score Normalization, Hubness, and Few-Shot Learning. Nanyi Fei, Yizhao Gao, Zhiwu Lu, Tao Xiang |
| 2021 | ZFlow: Gated Appearance Flow-based Virtual Try-on with 3D Priors. Ayush Chopra, Rishabh Jain, Mayur Hemani, Balaji Krishnamurthy |
| 2021 | Zen-NAS: A Zero-Shot NAS for High-Performance Image Recognition. Ming Lin, Pichao Wang, Zhenhong Sun, Hesen Chen, Xiuyu Sun, Qi Qian, Hao Li, Rong Jin |
| 2021 | Zero-Shot Day-Night Domain Adaptation with a Physics Prior. Attila Lengyel, Sourav Garg, Michael Milford, Jan C. van Gemert |
| 2021 | Zero-shot Natural Language Video Localization. Jinwoo Nam, Daechul Ahn, Dongyeop Kang, Seong Jong Ha, Jonghyun Choi |
| 2021 | e-ViL: A Dataset and Benchmark for Natural Language Explanations in Vision-Language Tasks. Maxime Kayser, Oana-Maria Camburu, Leonard Salewski, Cornelius Emde, Virginie Do, Zeynep Akata, Thomas Lukasiewicz |
| 2021 | iMAP: Implicit Mapping and Positioning in Real-Time. Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison |
| 2021 | iNAS: Integral NAS for Device-Aware Salient Object Detection. Yuchao Gu, Shang-hua Gao, Xu-Sheng Cao, Peng Du, Shao-Ping Lu, Ming-Ming Cheng |
| 2021 | iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis. Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer |
| 2021 | imGHUM: Implicit Generative Models of 3D Human Shape and Articulated Pose. Thiemo Alldieck, Hongyi Xu, Cristian Sminchisescu |
| 2021 | mDALU: Multi-Source Domain Adaptation and Label Unification with Partial Datasets. Rui Gong, Dengxin Dai, Yuhua Chen, Wen Li, Luc Van Gool |
| 2021 | von Mises-Fisher Loss: An Exploration of Embedding Geometries for Supervised Learning. Tyler R. Scott, Andrew C. Gallagher, Michael C. Mozer |