| 2021 | (AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network. Ran Cheng, Ryan Razani, Ehsan Taghavi, Enxu Li, Bingbing Liu |
| 2021 | 2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition. Hengduo Li, Zuxuan Wu, Abhinav Shrivastava, Larry S. Davis |
| 2021 | 3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding. Shengheng Deng, Xun Xu, Chaozheng Wu, Ke Chen, Kui Jia |
| 2021 | 3D CNNs With Adaptive Temporal Feature Resolutions. Mohsen Fayyaz, Emad Bahrami Rad, Ali Diba, Mehdi Noroozi, Ehsan Adeli, Luc Van Gool, Jürgen Gall |
| 2021 | 3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management. Tianyi Zhao, Kai Cao, Jiawen Yao, Isabella Nogues, Le Lu, Lingyun Huang, Jing Xiao, Zhaozheng Yin, Ling Zhang |
| 2021 | 3D Human Action Representation Learning via Cross-View Consistency Pursuit. Linguo Li, Minsi Wang, Bingbing Ni, Hang Wang, Jiancheng Yang, Wenjun Zhang |
| 2021 | 3D Object Detection With Pointformer. Xuran Pan, Zhuofan Xia, Shiji Song, Li Erran Li, Gao Huang |
| 2021 | 3D Shape Generation With Grid-Based Implicit Functions. Moritz Ibing, Isaak Lim, Leif Kobbelt |
| 2021 | 3D Spatial Recognition Without Spatially Labeled 3D. Zhongzheng Ren, Ishan Misra, Alexander G. Schwing, Rohit Girdhar |
| 2021 | 3D Video Stabilization With Depth Estimation by CNN-Based Optimization. Yao-Chih Lee, Kuan-Wei Tseng, Yu-Ta Chen, Chien-Cheng Chen, Chu-Song Chen, Yi-Ping Hung |
| 2021 | 3D-MAN: 3D Multi-Frame Attention Network for Object Detection. Zetong Yang, Yin Zhou, Zhifeng Chen, Jiquan Ngiam |
| 2021 | 3D-to-2D Distillation for Indoor Scene Parsing. Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu |
| 2021 | 3DCaricShop: A Dataset and a Baseline Method for Single-View 3D Caricature Face Reconstruction. Yuda Qiu, Xiaojie Xu, Lingteng Qiu, Yan Pan, Yushuang Wu, Weikai Chen, Xiaoguang Han |
| 2021 | 3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection. He Wang, Yezhen Cong, Or Litany, Yue Gao, Leonidas J. Guibas |
| 2021 | 4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis. Weihang Liao, Art Subpa-Asa, Yinqiang Zheng, Imari Sato |
| 2021 | 4D Panoptic LiDAR Segmentation. Mehmet Aygun, Aljosa Osep, Mark Weber, Maxim Maximov, Cyrill Stachniss, Jens Behley, Laura Leal-Taixé |
| 2021 | A 3D GAN for Improved Large-Pose Facial Recognition. Richard T. Marriott, Sami Romdhani, Liming Chen |
| 2021 | A Circular-Structured Representation for Visual Emotion Distribution Learning. Jingyuan Yang, Jie Li, Leida Li, Xiumei Wang, Xinbo Gao |
| 2021 | A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection. Keshigeyan Chandrasegaran, Ngoc-Trung Tran, Ngai-Man Cheung |
| 2021 | A Decomposition Model for Stereo Matching. Chengtang Yao, Yunde Jia, Huijun Di, Pengxiang Li, Yuwei Wu |
| 2021 | A Deep Emulator for Secondary Motion of 3D Characters. Mianlun Zheng, Yi Zhou, Duygu Ceylan, Jernej Barbic |
| 2021 | A Dual Iterative Refinement Method for Non-Rigid Shape Matching. Rui Xiang, Rongjie Lai, Hongkai Zhao |
| 2021 | A Fourier-Based Framework for Domain Generalization. Qinwei Xu, Ruipeng Zhang, Ya Zhang, Yanfeng Wang, Qi Tian |
| 2021 | A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks. Adrien Poulenard, Leonidas J. Guibas |
| 2021 | A Generalized Loss Function for Crowd Counting and Localization. Jia Wan, Ziquan Liu, Antoni B. Chan |
| 2021 | A Hyperbolic-to-Hyperbolic Graph Convolutional Network. Jindou Dai, Yuwei Wu, Zhi Gao, Yunde Jia |
| 2021 | A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning. Christoph Feichtenhofer, Haoqi Fan, Bo Xiong, Ross B. Girshick, Kaiming He |
| 2021 | A Multi-Task Network for Joint Specular Highlight Detection and Removal. Gang Fu, Qing Zhang, Lei Zhu, Ping Li, Chunxia Xiao |
| 2021 | A Multiplexed Network for End-to-End, Multilingual OCR. Jing Huang, Guan Pang, Rama Kovvuri, Mandy Toh, Kevin J. Liang, Praveen Krishnan, Xi Yin, Tal Hassner |
| 2021 | A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts. Yunhao Ge, Yao Xiao, Zhi Xu, Meng Zheng, Srikrishna Karanam, Terrence Chen, Laurent Itti, Ziyan Wu |
| 2021 | A Quasiconvex Formulation for Radial Cameras. Carl Olsson, Viktor Larsson, Fredrik Kahl |
| 2021 | A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification. Jong-Chyi Su, Zezhou Cheng, Subhransu Maji |
| 2021 | A Second-Order Approach to Learning With Instance-Dependent Label Noise. Zhaowei Zhu, Tongliang Liu, Yang Liu |
| 2021 | A Self-Boosting Framework for Automated Radiographic Report Generation. Zhanyu Wang, Luping Zhou, Lei Wang, Xiu Li |
| 2021 | A Sliced Wasserstein Loss for Neural Texture Synthesis. Eric Heitz, Kenneth Vanhoey, Thomas Chambon, Laurent Belcour |
| 2021 | A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation. Miao Hu, Yali Li, Lu Fang, Shengjin Wang |
| 2021 | ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation. Qiang Zhang, Shenlu Zhao, Yongjiang Luo, Dingwen Zhang, Nianchang Huang, Jungong Han |
| 2021 | ACRE: Abstract Causal REasoning Beyond Covariation. Chi Zhang, Baoxiong Jia, Mark Edmonds, Song-Chun Zhu, Yixin Zhu |
| 2021 | ACTION-Net: Multipath Excitation for Action Recognition. Zhengwei Wang, Qi She, Aljosa Smolic |
| 2021 | AGORA: Avatars in Geography Optimized for Regression Analysis. Priyanka Patel, Chun-Hao P. Huang, Joachim Tesch, David T. Hoffmann, Shashank Tripathi, Michael J. Black |
| 2021 | AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning. Madeleine Grunde-McLaughlin, Ranjay Krishna, Maneesh Agrawala |
| 2021 | AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness Training. Mihai Fieraru, Mihai Zanfir, Silviu Cristian Pirlea, Vlad Olaru, Cristian Sminchisescu |
| 2021 | ANR: Articulated Neural Rendering for Virtual Avatars. Amit Raj, Julian Tanke, James Hays, Minh Vo, Carsten Stoll, Christoph Lassner |
| 2021 | AQD: Towards Accurate Quantized Object Detection. Peng Chen, Jing Liu, Bohan Zhuang, Mingkui Tan, Chunhua Shen |
| 2021 | ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring. Dongxu Li, Chenchen Xu, Kaihao Zhang, Xin Yu, Yiran Zhong, Wenqi Ren, Hanna Suominen, Hongdong Li |
| 2021 | ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation. Xinyue Huo, Lingxi Xie, Jianzhong He, Zijie Yang, Wengang Zhou, Houqiang Li, Qi Tian |
| 2021 | Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution. Chi Zhang, Baoxiong Jia, Song-Chun Zhu, Yixin Zhu |
| 2021 | Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss. Lu Zhang, Shuigeng Zhou, Jihong Guan, Ji Zhang |
| 2021 | Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization. Mathieu Serrurier, Franck Mamalet, Alberto González-Sanz, Thibaut Boissin, Jean-Michel Loubes, Eustasio del Barrio |
| 2021 | Action Shuffle Alternating Learning for Unsupervised Action Segmentation. Jun Li, Sinisa Todorovic |
| 2021 | Action Unit Memory Network for Weakly Supervised Temporal Action Localization. Wang Luo, Tianzhu Zhang, Wenfei Yang, Jingen Liu, Tao Mei, Feng Wu, Yongdong Zhang |
| 2021 | Activate or Not: Learning Customized Activation. Ningning Ma, Xiangyu Zhang, Ming Liu, Jian Sun |
| 2021 | Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization. Junting Pan, Siyu Chen, Mike Zheng Shou, Yu Liu, Jing Shao, Hongsheng Li |
| 2021 | AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries. Qianjiang Hu, Xiao Wang, Wei Hu, Guo-Jun Qi |
| 2021 | AdaBins: Depth Estimation Using Adaptive Bins. Shariq Farooq Bhat, Ibraheem Alhashim, Peter Wonka |
| 2021 | AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching. Xiao Song, Guorun Yang, Xinge Zhu, Hui Zhou, Zhe Wang, Jianping Shi |
| 2021 | Adaptive Aggregation Networks for Class-Incremental Learning. Yaoyao Liu, Bernt Schiele, Qianru Sun |
| 2021 | Adaptive Class Suppression Loss for Long-Tail Object Detection. Tong Wang, Yousong Zhu, Chaoyang Zhao, Wei Zeng, Jinqiao Wang, Ming Tang |
| 2021 | Adaptive Consistency Prior Based Deep Network for Image Denoising. Chao Ren, Xiaohai He, Chuncheng Wang, Zhibo Zhao |
| 2021 | Adaptive Consistency Regularization for Semi-Supervised Transfer Learning. Abulikemu Abuduweili, Xingjian Li, Humphrey Shi, Cheng-Zhong Xu, Dejing Dou |
| 2021 | Adaptive Convolutions for Structure-Aware Style Transfer. Prashanth Chandran, Gaspard Zoss, Paulo F. U. Gotardo, Markus Gross, Derek Bradley |
| 2021 | Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval. Yang Liu, Qingchao Chen, Samuel Albanie |
| 2021 | Adaptive Image Transformer for One-Shot Object Detection. Ding-Jie Chen, He-Yen Hsieh, Tyng-Luh Liu |
| 2021 | Adaptive Methods for Real-World Domain Generalization. Abhimanyu Dubey, Vignesh Ramanathan, Alex Pentland, Dhruv Mahajan |
| 2021 | Adaptive Prototype Learning and Allocation for Few-Shot Segmentation. Gen Li, Varun Jampani, Laura Sevilla-Lara, Deqing Sun, Jonghyun Kim, Joongkyu Kim |
| 2021 | Adaptive Rank Estimate in Robust Principal Component Analysis. Zhengqin Xu, Rui He, Shoulie Xie, Shiqian Wu |
| 2021 | Adaptive Weighted Discriminator for Training Generative Adversarial Networks. Vasily Zadorozhnyy, Qiang Cheng, Qiang Ye |
| 2021 | AdderSR: Towards Energy Efficient Image Super-Resolution. Dehua Song, Yunhe Wang, Hanting Chen, Chang Xu, Chunjing Xu, Dacheng Tao |
| 2021 | AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles. Jingkang Wang, Ava Pun, James Tu, Sivabalan Manivasagam, Abbas Sadat, Sergio Casas, Mengye Ren, Raquel Urtasun |
| 2021 | Adversarial Generation of Continuous Images. Ivan Skorokhodov, Savva Ignatyev, Mohamed Elhoseiny |
| 2021 | Adversarial Imaging Pipelines. Buu Phan, Fahim Mannan, Felix Heide |
| 2021 | Adversarial Invariant Learning. Nanyang Ye, Jingxuan Tang, Huayu Deng, Xiao-Yun Zhou, Qianxiao Li, Zhenguo Li, Guang-Zhong Yang, Zhanxing Zhu |
| 2021 | Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink. Ranjie Duan, Xiaofeng Mao, A. K. Qin, Yuefeng Chen, Shaokai Ye, Yuan He, Yun Yang |
| 2021 | Adversarial Robustness Across Representation Spaces. Pranjal Awasthi, George Yu, Chun-Sung Ferng, Andrew Tomkins, Da-Cheng Juan |
| 2021 | Adversarial Robustness Under Long-Tailed Distribution. Tong Wu, Ziwei Liu, Qingqiu Huang, Yu Wang, Dahua Lin |
| 2021 | Adversarially Adaptive Normalization for Single Domain Generalization. Xinjie Fan, Qifei Wang, Junjie Ke, Feng Yang, Boqing Gong, Mingyuan Zhou |
| 2021 | Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality. Trisha Mittal, Puneet Mathur, Aniket Bera, Dinesh Manocha |
| 2021 | Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition. Enrique Sanchez, Mani Kumar Tellamekala, Michel F. Valstar, Georgios Tzimiropoulos |
| 2021 | Affordance Transfer Learning for Human-Object Interaction Detection. Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao |
| 2021 | All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training. Islam Nassar, Samitha Herath, Ehsan Abbasnejad, Wray L. Buntine, Gholamreza Haffari |
| 2021 | Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation. Bin Yan, Xinyu Zhang, Dong Wang, Huchuan Lu, Xiaoyun Yang |
| 2021 | AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence. Chengyue Gong, Dilin Wang, Qiang Liu |
| 2021 | Amalgamating Knowledge From Heterogeneous Graph Neural Networks. Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | An Alternative Probabilistic Interpretation of the Huber Loss. Gregory P. Meyer |
| 2021 | Anchor-Constrained Viterbi for Set-Supervised Action Segmentation. Jun Li, Sinisa Todorovic |
| 2021 | Anchor-Free Person Search. Yichao Yan, Jinpeng Li, Jie Qin, Song Bai, Shengcai Liao, Li Liu, Fan Zhu, Ling Shao |
| 2021 | Animating Pictures With Eulerian Motion Fields. Aleksander Holynski, Brian L. Curless, Steven M. Seitz, Richard Szeliski |
| 2021 | Anomaly Detection in Video via Self-Supervised and Multi-Task Learning. Mariana-Iuliana Georgescu, Antonio Barbalau, Radu Tudor Ionescu, Fahad Shahbaz Khan, Marius Popescu, Mubarak Shah |
| 2021 | Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation. Jungbeom Lee, Eunji Kim, Sungroh Yoon |
| 2021 | Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation. Binghao Liu, Yao Ding, Jianbin Jiao, Xiangyang Ji, Qixiang Ye |
| 2021 | Anticipating Human Actions by Correlating Past With the Future With Jaccard Similarity Measures. Basura Fernando, Samitha Herath |
| 2021 | Anycost GANs for Interactive Image Synthesis and Editing. Ji Lin, Richard Zhang, Frieder Ganz, Song Han, Jun-Yan Zhu |
| 2021 | Architectural Adversarial Robustness: The Case for Deep Pursuit. George Cazenavette, Calvin Murdock, Simon Lucey |
| 2021 | Are Labels Always Necessary for Classifier Accuracy Evaluation? Weijian Deng, Liang Zheng |
| 2021 | ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes. Hao Su, Jianwei Niu, Xuefeng Liu, Qingfeng Li, Ji Wan, Mingliang Xu, Tao Ren |
| 2021 | ArtEmis: Affective Language for Visual Art. Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas |
| 2021 | ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows. Jie An, Siyu Huang, Yibing Song, Dejing Dou, Wei Liu, Jiebo Luo |
| 2021 | Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation. Ze Cui, Jing Wang, Shangyin Gao, Tiansheng Guo, Yihui Feng, Bo Bai |
| 2021 | Asymmetric Metric Learning for Knowledge Transfer. Mateusz Budnik, Yannis Avrithis |
| 2021 | Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton. Xi Zhang, Xiaolin Wu |
| 2021 | AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling. Dilin Wang, Meng Li, Chengyue Gong, Vikas Chandra |
| 2021 | Audio-Driven Emotional Video Portraits. Xinya Ji, Hang Zhou, Kaisiyuan Wang, Wayne Wu, Chen Change Loy, Xun Cao, Feng Xu |
| 2021 | Audio-Visual Instance Discrimination with Cross-Modal Agreement. Pedro Morgado, Nuno Vasconcelos, Ishan Misra |
| 2021 | Augmentation Strategies for Learning With Noisy Labels. Kento Nishi, Yi Ding, Alex Rich, Tobias Höllerer |
| 2021 | Auto-Exposure Fusion for Single-Image Shadow Removal. Lan Fu, Changqing Zhou, Qing Guo, Felix Juefei-Xu, Hongkai Yu, Wei Feng, Yang Liu, Song Wang |
| 2021 | AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation. Denis A. Gudovskiy, Luca Rigazio, Shun Ishizaka, Kazuki Kozuka, Sotaro Tsukizawa |
| 2021 | AutoFlow: Learning a Better Training Set for Optical Flow. Deqing Sun, Daniel Vlasic, Charles Herrmann, Varun Jampani, Michael Krainin, Huiwen Chang, Ramin Zabih, William T. Freeman, Ce Liu |
| 2021 | AutoInt: Automatic Integration for Fast Neural Volume Rendering. David B. Lindell, Julien N. P. Martel, Gordon Wetzstein |
| 2021 | Automated Log-Scale Quantization for Low-Cost Deep Neural Networks. Sangyun Oh, Hyeonuk Sim, Sugil Lee, Jongeun Lee |
| 2021 | Automatic Correction of Internal Units in Generative Neural Networks. Ali Tousi, Haedong Jeong, Jiyeon Han, Hwanil Choi, Jaesik Choi |
| 2021 | Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization. Fakai Wang, Kang Zheng, Le Lu, Jing Xiao, Min Wu, Shun Miao |
| 2021 | Autoregressive Stylized Motion Synthesis With Generative Flow. Yu-Hui Wen, Zhipeng Yang, Hongbo Fu, Lin Gao, Yanan Sun, Yong-Jin Liu |
| 2021 | BABEL: Bodies, Action and Behavior With English Labels. Abhinanda R. Punnakkal, Arjun Chandrasekaran, Nikos Athanasiou, Alejandra Quiros-Ramirez, Michael J. Black |
| 2021 | BASAR: Black-Box Attack on Skeletal Action Recognition. Yunfeng Diao, Tianjia Shao, Yongliang Yang, Kun Zhou, He Wang |
| 2021 | BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation. Jungbeom Lee, Jihun Yi, Chaehun Shin, Sungroh Yoon |
| 2021 | BCNet: Searching for Network Width With Bilaterally Coupled Network. Xiu Su, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | BRepNet: A Topological Message Passing System for Solid Models. Joseph G. Lambourne, Karl D. D. Willis, Pradeep Kumar Jayaraman, Aditya Sanghi, Peter Meltzer, Hooman Shayani |
| 2021 | Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy. Federico Paredes-Vallés, Guido C. H. E. de Croon |
| 2021 | Back to the Feature: Learning Robust Camera Localization From Pixels To Pose. Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler |
| 2021 | Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds. Bowen Cheng, Lu Sheng, Shaoshuai Shi, Ming Yang, Dong Xu |
| 2021 | Backdoor Attacks Against Deep Learning Systems in the Physical World. Emily Wenger, Josephine Passananti, Arjun Nitin Bhagoji, Yuanshun Yao, Haitao Zheng, Ben Y. Zhao |
| 2021 | Background Splitting: Finding Rare Classes in a Sea of Background. Ravi Teja Mullapudi, Fait Poms, William R. Mark, Deva Ramanan, Kayvon Fatahalian |
| 2021 | Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation. Youngmin Oh, Beomjun Kim, Bumsub Ham |
| 2021 | BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond. Kelvin C. K. Chan, Xintao Wang, Ke Yu, Chao Dong, Chen Change Loy |
| 2021 | Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression. Yufei Cui, Ziquan Liu, Qiao Li, Antoni B. Chan, Chun Jason Xue |
| 2021 | Behavior-Driven Synthesis of Human Dynamics. Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer |
| 2021 | Benchmarking Representation Learning for Natural World Image Collections. Grant Van Horn, Elijah Cole, Sara Beery, Kimberly Wilber, Serge J. Belongie, Oisin Mac Aodha |
| 2021 | Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection. Zonghao Guo, Chang Liu, Xiaosong Zhang, Jianbin Jiao, Xiangyang Ji, Qixiang Ye |
| 2021 | Beyond Image to Depth: Improving Depth Prediction Using Echoes. Kranti Kumar Parida, Siddharth Srivastava, Gaurav Sharma |
| 2021 | Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection. Bohao Li, Boyu Yang, Chang Liu, Feng Liu, Rongrong Ji, Qixiang Ye |
| 2021 | Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories. Xitong Yang, Haoqi Fan, Lorenzo Torresani, Larry S. Davis, Heng Wang |
| 2021 | Beyond Static Features for Temporally Consistent 3D Human Pose and Shape From a Video. Hongsuk Choi, Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee |
| 2021 | Bi-GCN: Binary Graph Convolutional Network. Junfu Wang, Yunhong Wang, Zhen Yang, Liang Yang, Yuanfang Guo |
| 2021 | BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification. Ruibing Hou, Hong Chang, Bingpeng Ma, Rui Huang, Shiguang Shan |
| 2021 | Bidirectional Projection Network for Cross Dimension Scene Understanding. Wenbo Hu, Hengshuang Zhao, Li Jiang, Jiaya Jia, Tien-Tsin Wong |
| 2021 | Bilateral Grid Learning for Stereo Matching Networks. Bin Xu, Yuhua Xu, Xiaoli Yang, Wei Jia, Yulan Guo |
| 2021 | Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction. Shanyan Guan, Jingwei Xu, Yunbo Wang, Bingbing Ni, Xiaokang Yang |
| 2021 | Bilinear Parameterization for Non-Separable Singular Value Penalties. Marcus Valtonen Örnhag, José Pedro Iglesias, Carl Olsson |
| 2021 | Binary Graph Neural Networks. Mehdi Bahri, Gaétan Bahl, Stefanos Zafeiriou |
| 2021 | Binary TTC: A Temporal Geofence for Autonomous Navigation. Abhishek Badki, Orazio Gallo, Jan Kautz, Pradeep Sen |
| 2021 | Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation. Rongjie Li, Songyang Zhang, Bo Wan, Xuming He |
| 2021 | Birds of a Feather: Capturing Avian Shape Models From Images. Yufu Wang, Nikos Kolotouros, Kostas Daniilidis, Marc Badger |
| 2021 | Black-Box Explanation of Object Detectors via Saliency Maps. Vitali Petsiuk, Rajiv Jain, Varun Manjunatha, Vlad I. Morariu, Ashutosh Mehra, Vicente Ordonez, Kate Saenko |
| 2021 | Blind Deblurring for Saturated Images. Liang Chen, Jiawei Zhang, Songnan Lin, Faming Fang, Jimmy S. Ren |
| 2021 | Blocks-World Cameras. Jongho Lee, Mohit Gupta |
| 2021 | Blur, Noise, and Compression Robust Generative Adversarial Networks. Takuhiro Kaneko, Tatsuya Harada |
| 2021 | Body Meshes as Points. Jianfeng Zhang, Dongdong Yu, Jun Hao Liew, Xuecheng Nie, Jiashi Feng |
| 2021 | Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics. Evonne Ng, Shiry Ginosar, Trevor Darrell, Hanbyul Joo |
| 2021 | Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics. Yanzhao Wu, Ling Liu, Zhongwei Xie, Ka Ho Chow, Wenqi Wei |
| 2021 | Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging. S. Mahdi H. Miangoleh, Sebastian Dille, Long Mai, Sylvain Paris, Yagiz Aksoy |
| 2021 | Boosting Video Representation Learning With Multi-Faceted Integration. Zhaofan Qiu, Ting Yao, Chong-Wah Ngo, Xiao-Ping Zhang, Dong Wu, Tao Mei |
| 2021 | Bottleneck Transformers for Visual Recognition. Aravind Srinivas, Tsung-Yi Lin, Niki Parmar, Jonathon Shlens, Pieter Abbeel, Ashish Vaswani |
| 2021 | Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression. Zigang Geng, Ke Sun, Bin Xiao, Zhaoxiang Zhang, Jingdong Wang |
| 2021 | Bottom-Up Shift and Reasoning for Referring Image Segmentation. Sibei Yang, Meng Xia, Guanbin Li, Hong-Yu Zhou, Yizhou Yu |
| 2021 | Boundary IoU: Improving Object-Centric Image Segmentation Evaluation. Bowen Cheng, Ross B. Girshick, Piotr Dollár, Alexander C. Berg, Alexander Kirillov |
| 2021 | BoxInst: High-Performance Instance Segmentation With Box Annotations. Zhi Tian, Chunhua Shen, Xinlong Wang, Hao Chen |
| 2021 | Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net. Yawen Huang, Feng Zheng, Danyang Wang, Weilin Huang, Matthew R. Scott, Ling Shao |
| 2021 | Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering. Jungin Park, Jiyoung Lee, Kwanghoon Sohn |
| 2021 | Bridging the Visual Gap: Wide-Range Image Blending. Chia-Ni Lu, Ya-Chu Chang, Wei-Chen Chiu |
| 2021 | Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation. Dohun Lim, Hyeonseok Lee, Sungchan Kim |
| 2021 | CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency. Mohammad A. A. K. Jalwana, Naveed Akhtar, Mohammed Bennamoun, Ajmal Mian |
| 2021 | CASTing Your Model: Learning To Localize Improves Self-Supervised Representations. Ramprasaath R. Selvaraju, Karan Desai, Justin Johnson, Nikhil Naik |
| 2021 | CDFI: Compression-Driven Network Design for Frame Interpolation. Tianyu Ding, Luming Liang, Zhihui Zhu, Ilya Zharkov |
| 2021 | CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching. Zhelun Shen, Yuchao Dai, Zhibo Rao |
| 2021 | CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation. Tao Lu, Limin Wang, Gangshan Wu |
| 2021 | CLCC: Contrastive Learning for Color Constancy. Yi-Chen Lo, Chia-Che Chang, Hsuan-Chao Chiu, Yu-Hao Huang, Chia-Ping Chen, Yu-Lin Chang, Kevin Jou |
| 2021 | COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction. Yijie Lin, Yuanbiao Gou, Zitao Liu, Boyun Li, Jiancheng Lv, Xi Peng |
| 2021 | CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement. Noranart Vesdapunt, Baoyuan Wang |
| 2021 | CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning. Chen Wei, Kihyuk Sohn, Clayton Mellina, Alan L. Yuille, Fan Yang |
| 2021 | CT-Net: Complementary Transfering Network for Garment Transfer With Arbitrary Geometric Changes. Fan Yang, Guosheng Lin |
| 2021 | Calibrated RGB-D Salient Object Detection. Wei Ji, Jingjing Li, Shuang Yu, Miao Zhang, Yongri Piao, Shunyu Yao, Qi Bi, Kai Ma, Yefeng Zheng, Huchuan Lu, Li Cheng |
| 2021 | Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias. Yunhan Zhao, Shu Kong, Charless C. Fowlkes |
| 2021 | Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration. Xingyu Chen, Yufeng Liu, Chongyang Ma, Jianlong Chang, Huayan Wang, Tian Chen, Xiaoyan Guo, Pengfei Wan, Wen Zheng |
| 2021 | Camouflaged Object Segmentation With Distraction Mining. Haiyang Mei, Ge-Peng Ji, Ziqi Wei, Xin Yang, Xiaopeng Wei, Deng-Ping Fan |
| 2021 | Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks? Yapeng Tian, Chenliang Xu |
| 2021 | Can We Characterize Tasks Without Labels or Features? Bram Wallace, Ziyang Wu, Bharath Hariharan |
| 2021 | CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild. Bastian Wandt, Marco Rudolph, Petrissa Zell, Helge Rhodin, Bodo Rosenhahn |
| 2021 | Capsule Network Is Not More Robust Than Convolutional Network. Jindong Gu, Volker Tresp, Han Hu |
| 2021 | CapsuleRRT: Relationships-Aware Regression Tracking via Capsules. Ding Ma, Xiangqian Wu |
| 2021 | Capturing Omni-Range Context for Omnidirectional Segmentation. Kailun Yang, Jiaming Zhang, Simon Reiß, Xinxin Hu, Rainer Stiefelhagen |
| 2021 | Cascaded Prediction Network via Segment Tree for Temporal Video Grounding. Yang Zhao, Zhou Zhao, Zhu Zhang, Zhijie Lin |
| 2021 | Categorical Depth Distribution Network for Monocular 3D Object Detection. Cody Reading, Ali Harakeh, Julia Chae, Steven L. Waslander |
| 2021 | Causal Attention for Vision-Language Tasks. Xu Yang, Hanwang Zhang, Guojun Qi, Jianfei Cai |
| 2021 | Causal Hidden Markov Model for Time Series Disease Forecasting. Jing Li, Botong Wu, Xinwei Sun, Yizhou Wang |
| 2021 | CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models. Mengyue Yang, Furui Liu, Zhitang Chen, Xinwei Shen, Jianye Hao, Jun Wang |
| 2021 | Center-Based 3D Object Detection and Tracking. Tianwei Yin, Xingyi Zhou, Philipp Krähenbühl |
| 2021 | ChallenCap: Monocular 3D Capture of Challenging Human Performances Using Multi-Modal References. Yannan He, Anqi Pang, Xin Chen, Han Liang, Minye Wu, Yuexin Ma, Lan Xu |
| 2021 | Checkerboard Context Model for Efficient Learned Image Compression. Dailan He, Yaoyan Zheng, Baocheng Sun, Yan Wang, Hongwei Qin |
| 2021 | Class-Aware Robust Adversarial Training for Object Detection. Pin-Chun Chen, Bo-Han Kung, Jun-Cheng Chen |
| 2021 | ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic. Xiangtao Kong, Hengyuan Zhao, Yu Qiao, Chao Dong |
| 2021 | Closed-Form Factorization of Latent Semantics in GANs. Yujun Shen, Bolei Zhou |
| 2021 | Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation. Yuntong Ye, Yi Chang, Hanyu Zhou, Luxin Yan |
| 2021 | Cloud2Curve: Generation and Vectorization of Parametric Sketches. Ayan Das, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2021 | Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition. Xuan-Bac Nguyen, Duc Toan Bui, Chi Nhan Duong, Tien D. Bui, Khoa Luu |
| 2021 | Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation. Rui Gong, Yuhua Chen, Danda Pani Paudel, Yawei Li, Ajad Chhatkuli, Wen Li, Dengxin Dai, Luc Van Gool |
| 2021 | Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering. Huafeng Liu, Jiaqi Wang, Liping Jing |
| 2021 | Co-Attention for Conditioned Image Matching. Olivia Wiles, Sébastien Ehrhardt, Andrew Zisserman |
| 2021 | Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos. Sijie Song, Xudong Lin, Jiaying Liu, Zongming Guo, Shih-Fu Chang |
| 2021 | CoCoNets: Continuous Contrastive 3D Scene Representations. Shamit Lal, Mihir Prabhudesai, Ishita Mediratta, Adam W. Harley, Katerina Fragkiadaki |
| 2021 | CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation. Xingran Zhou, Bo Zhang, Ting Zhang, Pan Zhang, Jianmin Bao, Dong Chen, Zhongfei Zhang, Fang Wen |
| 2021 | CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning. Can Zhang, Meng Cao, Dongming Yang, Jie Chen, Yuexian Zou |
| 2021 | CoMoGAN: Continuous Model-Guided Image-to-Image Translation. Fabio Pizzati, Pietro Cerri, Raoul de Charette |
| 2021 | CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback. Seungmin Lee, Dongwan Kim, Bohyung Han |
| 2021 | Coarse-Fine Networks for Temporal Activity Detection in Videos. Kumara Kahatapitiya, Michael S. Ryoo |
| 2021 | Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization. Haoyu Ma, Xiangru Lin, Zifeng Wu, Yizhou Yu |
| 2021 | Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck. Anguo Zhang, Yueming Gao, Yuzhen Niu, Wenxi Liu, Yongcheng Zhou |
| 2021 | CodedStereo: Learned Phase Masks for Large Depth-of-Field Stereo. Shiyu Tan, Yicheng Wu, Shoou-I Yu, Ashok Veeraraghavan |
| 2021 | Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation. Tianrui Hui, Shaofei Huang, Si Liu, Zihan Ding, Guanbin Li, Wenguan Wang, Jizhong Han, Fei Wang |
| 2021 | ColorRL: Reinforced Coloring for End-to-End Instance Segmentation. Tuan Tran Anh, Khoa Nguyen-Tuan, Tran Minh Quan, Won-Ki Jeong |
| 2021 | Combinatorial Learning of Graph Edit Distance via Dynamic Embedding. Runzhong Wang, Tianqi Zhang, Tianshu Yu, Junchi Yan, Xiaokang Yang |
| 2021 | Combined Depth Space Based Architecture Search for Person Re-Identification. Hanjun Li, Gaojie Wu, Wei-Shi Zheng |
| 2021 | Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings. Jaskirat Singh, Liang Zheng |
| 2021 | Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization. Aysim Toker, Qunjie Zhou, Maxim Maximov, Laura Leal-Taixé |
| 2021 | Communication Efficient SGD via Gradient Sampling With Bayes Prior. Liuyihan Song, Kang Zhao, Pan Pan, Yu Liu, Yingya Zhang, Yinghui Xu, Rong Jin |
| 2021 | Compatibility-Aware Heterogeneous Visual Search. Rahul Duggal, Hao Zhou, Shuo Yang, Yuanjun Xiong, Wei Xia, Zhuowen Tu, Stefano Soatto |
| 2021 | Complementary Relation Contrastive Distillation. Jinguo Zhu, Shixiang Tang, Dapeng Chen, Shijie Yu, Yakun Liu, Mingzhe Rong, Aijun Yang, Xiaohua Wang |
| 2021 | Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds. Li Yi, Boqing Gong, Thomas A. Funkhouser |
| 2021 | Composing Photos Like a Photographer. Chaoyi Hong, Shuaiyuan Du, Ke Xian, Hao Lu, Zhiguo Cao, Weicai Zhong |
| 2021 | CompositeTasking: Understanding Images by Spatial Composition of Tasks. Nikola Popovic, Danda Pani Paudel, Thomas Probst, Guolei Sun, Luc Van Gool |
| 2021 | Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts. Soravit Changpinyo, Piyush Sharma, Nan Ding, Radu Soricut |
| 2021 | CondenseNet V2: Sparse Feature Reactivation for Deep Networks. Le Yang, Haojun Jiang, Ruojin Cai, Yulin Wang, Shiji Song, Gao Huang, Qi Tian |
| 2021 | Conditional Bures Metric for Domain Adaptation. You-Wei Luo, Chuan-Xian Ren |
| 2021 | Confluent Vessel Trees With Accurate Bifurcations. Zhongwen Zhang, Dmitrii Marin, Maria Drangova, Yuri Boykov |
| 2021 | Connecting What To Say With Where To Look by Modeling Human Attention Traces. Zihang Meng, Licheng Yu, Ning Zhang, Tamara L. Berg, Babak Damavandi, Vikas Singh, Amy Bearman |
| 2021 | Consensus Maximisation Using Influences of Monotone Boolean Functions. Ruwan B. Tennakoon, David Suter, Erchuan Zhang, Tat-Jun Chin, Alireza Bab-Hadiashar |
| 2021 | Consistent Instance False Positive Improves Fairness in Face Recognition. Xingkun Xu, Yuge Huang, Pengcheng Shen, Shaoxin Li, Jilin Li, Feiyue Huang, Yong Li, Zhen Cui |
| 2021 | ContactOpt: Optimizing Contact To Improve Grasps. Patrick Grady, Chengcheng Tang, Christopher D. Twigg, Minh Vo, Samarth Brahmbhatt, Charles C. Kemp |
| 2021 | Content-Aware GAN Compression. Yuchen Liu, Zhixin Shu, Yijun Li, Zhe Lin, Federico Perazzi, Sun-Yuan Kung |
| 2021 | Context Modeling in 3D Human Pose Estimation: A Unified Perspective. Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Hai Ci, Yizhou Wang |
| 2021 | Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding. Daizong Liu, Xiaoye Qu, Jianfeng Dong, Pan Zhou, Yu Cheng, Wei Wei, Zichuan Xu, Yulai Xie |
| 2021 | Context-Aware Layout to Image Generation With Enhanced Object Appearance. Sen He, Wentong Liao, Michael Ying Yang, Yongxin Yang, Yi-Zhe Song, Bodo Rosenhahn, Tao Xiang |
| 2021 | Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning. Riccardo Volpi, Diane Larlus, Grégory Rogez |
| 2021 | Continual Learning via Bit-Level Information Preserving. Yujun Shi, Li Yuan, Yunpeng Chen, Jiashi Feng |
| 2021 | Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations. Umberto Michieli, Pietro Zanuttigh |
| 2021 | Continuous Face Aging via Self-Estimated Residual Age Embedding. Zeqi Li, Ruowei Jiang, Parham Aarabi |
| 2021 | Contrastive Embedding for Generalized Zero-Shot Learning. Zongyan Han, Zhenyong Fu, Shuo Chen, Jian Yang |
| 2021 | Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification. Peng Wang, Kai Han, Xiu-Shen Wei, Lei Zhang, Lei Wang |
| 2021 | Contrastive Learning for Compact Single Image Dehazing. Haiyan Wu, Yanyun Qu, Shaohui Lin, Jian Zhou, Ruizhi Qiao, Zhizhong Zhang, Yuan Xie, Lizhuang Ma |
| 2021 | Contrastive Neural Architecture Search With Neural Architecture Comparators. Yaofo Chen, Yong Guo, Qi Chen, Minli Li, Wei Zeng, Yaowei Wang, Mingkui Tan |
| 2021 | Controllable Image Restoration for Under-Display Camera in Smartphones. Kinam Kwon, Eunhee Kang, Sangwon Lee, Su-Jin Lee, Hyong-Euk Lee, ByungIn Yoo, Jae-Joon Han |
| 2021 | Controlling the Rain: From Removal to Rendering. Siqi Ni, Xueyun Cao, Tao Yue, Xuemei Hu |
| 2021 | Convolutional Dynamic Alignment Networks for Interpretable Classifications. Moritz Böhle, Mario Fritz, Bernt Schiele |
| 2021 | Convolutional Hough Matching Networks. Juhong Min, Minsu Cho |
| 2021 | Convolutional Neural Network Pruning With Structural Redundancy Reduction. Zi Wang, Chengcheng Li, Xiangyang Wang |
| 2021 | Coordinate Attention for Efficient Mobile Network Design. Qibin Hou, Daquan Zhou, Jiashi Feng |
| 2021 | CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds. Yiming Zeng, Yue Qian, Zhiyu Zhu, Junhui Hou, Hui Yuan, Ying He |
| 2021 | Correlated Input-Dependent Label Noise in Large-Scale Image Classification. Mark Collier, Basil Mustafa, Efi Kokiopoulou, Rodolphe Jenatton, Jesse Berent |
| 2021 | Counterfactual VQA: A Cause-Effect Look at Language Bias. Yulei Niu, Kaihua Tang, Hanwang Zhang, Zhiwu Lu, Xian-Sheng Hua, Ji-Rong Wen |
| 2021 | Counterfactual Zero-Shot and Open-Set Visual Recognition. Zhongqi Yue, Tan Wang, Qianru Sun, Xian-Sheng Hua, Hanwang Zhang |
| 2021 | Cross Modal Focal Loss for RGBD Face Anti-Spoofing. Anjith George, Sébastien Marcel |
| 2021 | Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation. Jichang Li, Guanbin Li, Yemin Shi, Yizhou Yu |
| 2021 | Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation. Zhekai Du, Jingjing Li, Hongzu Su, Lei Zhu, Ke Lu |
| 2021 | Cross-Domain Similarity Learning for Face Recognition in Unseen Domains. Masoud Faraki, Xiang Yu, Yi-Hsuan Tsai, Yumin Suh, Manmohan Chandraker |
| 2021 | Cross-Iteration Batch Normalization. Zhuliang Yao, Yue Cao, Shuxin Zheng, Gao Huang, Stephen Lin |
| 2021 | Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images. Yuemei Zhou, Gaochang Wu, Ying Fu, Kun Li, Yebin Liu |
| 2021 | Cross-Modal Center Loss for 3D Cross-Modal Retrieval. Longlong Jing, Elahe Vahdani, Jiaxing Tan, Yingli Tian |
| 2021 | Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting. Lingbo Liu, Jiaqi Chen, Hefeng Wu, Guanbin Li, Chenglong Li, Liang Lin |
| 2021 | Cross-Modal Contrastive Learning for Text-to-Image Generation. Han Zhang, Jing Yu Koh, Jason Baldridge, Honglak Lee, Yinfei Yang |
| 2021 | Cross-View Cross-Scene Multi-View Crowd Counting. Qi Zhang, Wei Lin, Antoni B. Chan |
| 2021 | Cross-View Gait Recognition With Deep Universal Linear Embeddings. Shaoxiong Zhang, Yunhong Wang, Annan Li |
| 2021 | Cross-View Regularization for Domain Adaptive Panoptic Segmentation. Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu |
| 2021 | Crossing Cuts Polygonal Puzzles: Models and Solvers. Peleg Harel, Ohad Ben-Shahar |
| 2021 | Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images. Florian Kluger, Hanno Ackermann, Eric Brachmann, Michael Ying Yang, Bodo Rosenhahn |
| 2021 | Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation. Subhankar Roy, Evgeny Krivosheev, Zhun Zhong, Nicu Sebe, Elisa Ricci |
| 2021 | CutPaste: Self-Supervised Learning for Anomaly Detection and Localization. Chun-Liang Li, Kihyuk Sohn, Jinsung Yoon, Tomas Pfister |
| 2021 | Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding. Xin Wen, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu |
| 2021 | Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation. Yapeng Tian, Di Hu, Chenliang Xu |
| 2021 | Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation. Xinge Zhu, Hui Zhou, Tai Wang, Fangzhou Hong, Yuexin Ma, Wei Li, Hongsheng Li, Dahua Lin |
| 2021 | D-NeRF: Neural Radiance Fields for Dynamic Scenes. Albert Pumarola, Enric Corona, Gerard Pons-Moll, Francesc Moreno-Noguer |
| 2021 | D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images. Manyi Li, Hao Zhang |
| 2021 | DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation. Xinyi Wu, Zhenyao Wu, Hao Guo, Lili Ju, Song Wang |
| 2021 | DAP: Detection-Aware Pre-Training With Weak Supervision. Yuanyi Zhong, Jianfeng Wang, Lijuan Wang, Jian Peng, Yu-Xiong Wang, Lei Zhang |
| 2021 | DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images. Joy Hsu, Wah Chiu, Serena Yeung |
| 2021 | DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions. Yuntao Qu, Shasha Mo, Jianwei Niu |
| 2021 | DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation. Xiong Zhang, Hongmin Xu, Hong Mo, Jianchao Tan, Cheng Yang, Lei Wang, Wenqi Ren |
| 2021 | DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation. Xing Shen, Jirui Yang, Chunbo Wei, Bing Deng, Jianqiang Huang, Xian-Sheng Hua, Xiaoliang Cheng, Kewei Liang |
| 2021 | DECOR-GAN: 3D Shape Detailization by Conditional Refinement. Zhiqin Chen, Vladimir G. Kim, Matthew Fisher, Noam Aigerman, Hao Zhang, Siddhartha Chaudhuri |
| 2021 | DER: Dynamically Expandable Representation for Class Incremental Learning. Shipeng Yan, Jiangwei Xie, Xuming He |
| 2021 | DG-Font: Deformable Generative Networks for Unsupervised Font Generation. Yangchen Xie, Xinyuan Chen, Li Sun, Yue Lu |
| 2021 | DI-Fusion: Online Implicit 3D Reconstruction With Deep Priors. Jiahui Huang, Shi-Sheng Huang, Haoxuan Song, Shi-Min Hu |
| 2021 | DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks. Abhishek Singh, Ayush Chopra, Ethan Garza, Emily Zhang, Praneeth Vepakomma, Vivek Sharma, Ramesh Raskar |
| 2021 | DOTS: Decoupling Operation and Topology in Differentiable Architecture Search. Yuchao Gu, Lijuan Wang, Yun Liu, Yi Yang, Yu-Huan Wu, Shao-Ping Lu, Ming-Ming Cheng |
| 2021 | DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation. Seunghun Lee, Sunghyun Cho, Sunghoon Im |
| 2021 | DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-Scale Consistency. Zongxin Yang, Xin Yu, Yi Yang |
| 2021 | DSRNA: Differentiable Search of Robust Neural Architectures. Ramtin Hosseini, Xingyi Yang, Pengtao Xie |
| 2021 | Data-Free Knowledge Distillation for Image Super-Resolution. Yiman Zhang, Hanting Chen, Xinghao Chen, Yiping Deng, Chunjing Xu, Yunhe Wang |
| 2021 | Data-Free Model Extraction. Jean-Baptiste Truong, Pratyush Maini, Robert J. Walls, Nicolas Papernot |
| 2021 | Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection. Zhenyu Wang, Yali Li, Ye Guo, Lu Fang, Shengjin Wang |
| 2021 | DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort. Yuxuan Zhang, Huan Ling, Jun Gao, Kangxue Yin, Jean-Francois Lafleche, Adela Barriuso, Antonio Torralba, Sanja Fidler |
| 2021 | De-Rendering the World's Revolutionary Artefacts. Shangzhe Wu, Ameesh Makadia, Jiajun Wu, Noah Snavely, Richard Tucker, Angjoo Kanazawa |
| 2021 | DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls. Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao, Bin Jiang, Wei Liu |
| 2021 | DeFMO: Deblurring and Shape Recovery of Fast Moving Objects. Denys Rozumnyi, Martin R. Oswald, Vittorio Ferrari, Jiri Matas, Marc Pollefeys |
| 2021 | DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows. Valentin Wolf, Andreas Lugmayr, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | DeRF: Decomposed Radiance Fields. Daniel Rebain, Wei Jiang, Soroosh Yazdani, Ke Li, Kwang Moo Yi, Andrea Tagliasacchi |
| 2021 | Debiased Subjective Assessment of Real-World Image Enhancement. Peibei Cao, Zhangyang Wang, Kede Ma |
| 2021 | Decoupled Dynamic Filter Networks. Jingkai Zhou, Varun Jampani, Zhixiong Pi, Qiong Liu, Ming-Hsuan Yang |
| 2021 | Deep Active Surface Models. Udaranga Wickramasinghe, Pascal Fua, Graham Knott |
| 2021 | Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition. Chun-Fu (Richard) Chen, Rameswar Panda, Kandan Ramakrishnan, Rogério Feris, John Cohn, Aude Oliva, Quanfu Fan |
| 2021 | Deep Animation Video Interpolation in the Wild. Li Siyao, Shiyu Zhao, Weijiang Yu, Wenxiu Sun, Dimitris N. Metaxas, Chen Change Loy, Ziwei Liu |
| 2021 | Deep Burst Super-Resolution. Goutam Bhat, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | Deep Compositional Metric Learning. Wenzhao Zheng, Chengkun Wang, Jiwen Lu, Jie Zhou |
| 2021 | Deep Convolutional Dictionary Learning for Image Denoising. Hongyi Zheng, Hongwei Yong, Lei Zhang |
| 2021 | Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments. Zhihao Xia, Michaël Gharbi, Federico Perazzi, Kalyan Sunkavalli, Ayan Chakrabarti |
| 2021 | Deep Dual Consecutive Network for Human Pose Estimation. Zhenguang Liu, Haoming Chen, Runyang Feng, Shuang Wu, Shouling Ji, Bailin Yang, Xun Wang |
| 2021 | Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging. Tao Huang, Weisheng Dong, Xin Yuan, Jinjian Wu, Guangming Shi |
| 2021 | Deep Gradient Projection Networks for Pan-sharpening. Shuang Xu, Jiangshe Zhang, Zixiang Zhao, Kai Sun, Junmin Liu, Chunxia Zhang |
| 2021 | Deep Graph Matching Under Quadratic Constraint. Quankai Gao, Fudong Wang, Nan Xue, Jin-Gang Yu, Gui-Song Xia |
| 2021 | Deep Homography for Efficient Stereo Image Compression. Xin Deng, Wenzhe Yang, Ren Yang, Mai Xu, Enpeng Liu, Qianhan Feng, Radu Timofte |
| 2021 | Deep Implicit Moving Least-Squares Functions for 3D Reconstruction. Shi-Lin Liu, Hao-Xiang Guo, Hao Pan, Peng-Shuai Wang, Xin Tong, Yang Liu |
| 2021 | Deep Implicit Templates for 3D Shape Representation. Zerong Zheng, Tao Yu, Qionghai Dai, Yebin Liu |
| 2021 | Deep Learning in Latent Space for Video Prediction and Compression. Bowen Liu, Yu Chen, Shiyu Liu, Hun-Seok Kim |
| 2021 | Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies. Jinzheng Cai, Youbao Tang, Ke Yan, Adam P. Harrison, Jing Xiao, Gigin Lin, Le Lu |
| 2021 | Deep Lucas-Kanade Homography for Multimodal Image Alignment. Yiming Zhao, Xinming Huang, Ziming Zhang |
| 2021 | Deep Multi-Task Learning for Joint Localization, Perception, and Prediction. John Phillips, Julieta Martinez, Ioan Andrei Barsan, Sergio Casas, Abbas Sadat, Raquel Urtasun |
| 2021 | Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers. Lei Ke, Yu-Wing Tai, Chi-Keung Tang |
| 2021 | Deep Optimized Priors for 3D Shape Modeling and Reconstruction. Mingyue Yang, Yuxin Wen, Weikai Chen, Yongwei Chen, Kui Jia |
| 2021 | Deep Perceptual Preprocessing for Video Coding. Aaron Chadha, Yiannis Andreopoulos |
| 2021 | Deep Polarization Imaging for 3D Shape and SVBRDF Acquisition. Valentin Deschaintre, Yiming Lin, Abhijeet Ghosh |
| 2021 | Deep RGB-D Saliency Detection With Depth-Sensitive Attention and Automatic Multi-Modal Fusion. Peng Sun, Wenhu Zhang, Huanyu Wang, Songyuan Li, Xi Li |
| 2021 | Deep Stable Learning for Out-of-Distribution Generalization. Xingxuan Zhang, Peng Cui, Renzhe Xu, Linjun Zhou, Yue He, Zheyan Shen |
| 2021 | Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity. Zhile Chen, Feng Li, Yuhui Quan, Yong Xu, Hui Ji |
| 2021 | Deep Two-View Structure-From-Motion Revisited. Jianyuan Wang, Yiran Zhong, Yuchao Dai, Stan Birchfield, Kaihao Zhang, Nikolai Smolyanskiy, Hongdong Li |
| 2021 | Deep Video Matting via Spatio-Temporal Alignment and Aggregation. Yanan Sun, Guanzhi Wang, Qiao Gu, Chi-Keung Tang, Yu-Wing Tai |
| 2021 | DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance. Kaihua Zhang, Mingliang Dong, Bo Liu, Xiao-Tong Yuan, Qingshan Liu |
| 2021 | DeepI2P: Image-to-Point Cloud Registration via Deep Classification. Jiaxin Li, Gim Hee Lee |
| 2021 | DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition. Jingwei Huang, Shan Huang, Mingwei Sun |
| 2021 | DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates. Minghua Liu, Minhyuk Sung, Radomír Mech, Hao Su |
| 2021 | DeepSurfels: Learning Online Appearance Fusion. Marko Mihajlovic, Silvan Weder, Marc Pollefeys, Martin R. Oswald |
| 2021 | DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images. Meng Ye, Mikael Kanski, Dong Yang, Qi Chang, Zhennan Yan, Qiaoying Huang, Leon Axel, Dimitris N. Metaxas |
| 2021 | DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion. Arda Düzçeker, Silvano Galliani, Christoph Vogel, Pablo Speciale, Mihai Dusmanu, Marc Pollefeys |
| 2021 | Deeply Shape-Guided Cascade for Instance Segmentation. Hao Ding, Siyuan Qiao, Alan L. Yuille, Wei Shen |
| 2021 | Defending Multimodal Fusion Models Against Single-Source Adversaries. Karren Yang, Wan-Yi Lin, Manash Barman, Filipe Condessa, J. Zico Kolter |
| 2021 | Deformed Implicit Field: Modeling 3D Shapes With Learned Dense Correspondence. Yu Deng, Jiaolong Yang, Xin Tong |
| 2021 | Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation. Haoxin Chen, Hanjie Wu, Nanxuan Zhao, Sucheng Ren, Shengfeng He |
| 2021 | Delving Into Localization Errors for Monocular 3D Object Detection. Xinzhu Ma, Yinmin Zhang, Dan Xu, Dongzhan Zhou, Shuai Yi, Haojie Li, Wanli Ouyang |
| 2021 | Delving into Data: Effectively Substitute Training for Black-box Attack. Wenxuan Wang, Bangjie Yin, Taiping Yao, Li Zhang, Yanwei Fu, Shouhong Ding, Jilin Li, Feiyue Huang, Xiangyang Xue |
| 2021 | Denoise and Contrast for Category Agnostic Shape Completion. Antonio Alliegro, Diego Valsesia, Giulia Fracastoro, Enrico Magli, Tatiana Tommasi |
| 2021 | Dense Contrastive Learning for Self-Supervised Visual Pre-Training. Xinlong Wang, Rufeng Zhang, Chunhua Shen, Tao Kong, Lei Li |
| 2021 | Dense Label Encoding for Boundary Discontinuity Free Rotation Detection. Xue Yang, Liping Hou, Yue Zhou, Wentao Wang, Junchi Yan |
| 2021 | Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection. Hanzhe Hu, Shuai Bai, Aoxue Li, Jinshi Cui, Liwei Wang |
| 2021 | Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks. Naoya Takahashi, Yuki Mitsufuji |
| 2021 | Depth Completion Using Plane-Residual Representation. Byeong-Uk Lee, Kyunghyun Lee, In So Kweon |
| 2021 | Depth Completion With Twin Surface Extrapolation at Occlusion Boundaries. Saif Muhammad Imran, Xiaoming Liu, Daniel Morris |
| 2021 | Depth From Camera Motion and Object Detection. Brent A. Griffin, Jason J. Corso |
| 2021 | Depth-Aware Mirror Segmentation. Haiyang Mei, Bo Dong, Wen Dong, Pieter Peers, Xin Yang, Qiang Zhang, Xiaopeng Wei |
| 2021 | Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection. Li Wang, Liang Du, Xiaoqing Ye, Yanwei Fu, Guodong Guo, Xiangyang Xue, Jianfeng Feng, Li Zhang |
| 2021 | Detecting Human-Object Interaction via Fabricated Compositional Learning. Zhi Hou, Baosheng Yu, Yu Qiao, Xiaojiang Peng, Dacheng Tao |
| 2021 | Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark. Longyin Wen, Dawei Du, Pengfei Zhu, Qinghua Hu, Qilong Wang, Liefeng Bo, Siwei Lyu |
| 2021 | DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution. Siyuan Qiao, Liang-Chieh Chen, Alan L. Yuille |
| 2021 | DexYCB: A Benchmark for Capturing Hand Grasping of Objects. Yu-Wei Chao, Wei Yang, Yu Xiang, Pavlo Molchanov, Ankur Handa, Jonathan Tremblay, Yashraj Narang, Karl Van Wyk, Umar Iqbal, Stan Birchfield, Jan Kautz, Dieter Fox |
| 2021 | DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation. Yufan He, Dong Yang, Holger Roth, Can Zhao, Daguang Xu |
| 2021 | Dictionary-Guided Scene Text Recognition. Nguyen Nguyen, Thu Nguyen, Vinh Tran, Minh-Triet Tran, Thanh Duc Ngo, Thien Huu Nguyen, Minh Hoai |
| 2021 | Differentiable Diffusion for Dense Depth Estimation From Multi-View Images. Numair Khan, Min H. Kim, James Tompkin |
| 2021 | Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing. Tianfei Zhou, Wenguan Wang, Si Liu, Yi Yang, Luc Van Gool |
| 2021 | Differentiable Patch Selection for Image Recognition. Jean-Baptiste Cordonnier, Aravindh Mahendran, Alexey Dosovitskiy, Dirk Weissenborn, Jakob Uszkoreit, Thomas Unterthiner |
| 2021 | Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation. Péter Karkus, Shaojun Cai, David Hsu |
| 2021 | Diffusion Probabilistic Models for 3D Point Cloud Generation. Shitong Luo, Wei Hu |
| 2021 | Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times. Omer Dahary, Matan Jacoby, Alex M. Bronstein |
| 2021 | Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification. Qiong Wu, Pingyang Dai, Jie Chen, Chia-Wen Lin, Yongjian Wu, Feiyue Huang, Bineng Zhong, Rongrong Ji |
| 2021 | Discovering Hidden Physics Behind Transport Dynamics. Peirong Liu, Lin Tian, Yubo Zhang, Stephen R. Aylward, Yueh Z. Lee, Marc Niethammer |
| 2021 | Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes. Huiting Yang, Liangyu Chai, Qiang Wen, Shuang Zhao, Zixun Sun, Shengfeng He |
| 2021 | Discovering Relationships Between Object Categories via Universal Canonical Maps. Natalia Neverova, Artsiom Sanakoyeu, Patrick Labatut, David Novotný, Andrea Vedaldi |
| 2021 | Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching. Shiyang Yan, Li Yu, Yuan Xie |
| 2021 | Discrimination-Aware Mechanism for Fine-Grained Representation Learning. Furong Xu, Meng Wang, Wei Zhang, Yuan Cheng, Wei Chu |
| 2021 | Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking. Chanho Kim, Fuxin Li, Mazen Alotaibi, James M. Rehg |
| 2021 | Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On. Chongjian Ge, Yibing Song, Yuying Ge, Han Yang, Wei Liu, Ping Luo |
| 2021 | Disentangling Label Distribution for Long-Tailed Visual Recognition. Youngkyu Hong, Seungju Han, Kwanghee Choi, Seokjun Seo, Beomsu Kim, Buru Chang |
| 2021 | Distilling Audio-Visual Knowledge by Compositional Contrastive Learning. Yanbei Chen, Yongqin Xian, A. Sophia Koepke, Ying Shan, Zeynep Akata |
| 2021 | Distilling Causal Effect of Data in Class-Incremental Learning. Xinting Hu, Kaihua Tang, Chunyan Miao, Xian-Sheng Hua, Hanwang Zhang |
| 2021 | Distilling Knowledge via Knowledge Review. Pengguang Chen, Shu Liu, Hengshuang Zhao, Jiaya Jia |
| 2021 | Distilling Object Detectors via Decoupled Features. Jianyuan Guo, Kai Han, Yunhe Wang, Han Wu, Xinghao Chen, Chunjing Xu, Chang Xu |
| 2021 | Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy. Zikai Zhang, Bineng Zhong, Shengping Zhang, Zhenjun Tang, Xin Liu, Zhaoxiang Zhang |
| 2021 | Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition. Songyang Zhang, Zeming Li, Shipeng Yan, Xuming He, Jian Sun |
| 2021 | Distribution-Aware Adaptive Multi-Bit Quantization. Sijie Zhao, Tao Yue, Xuemei Hu |
| 2021 | DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network. Rui Liu, Yixiao Ge, Ching Lam Choi, Xiaogang Wang, Hongsheng Li |
| 2021 | Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition. Jiahui She, Yibo Hu, Hailin Shi, Jun Wang, Qiu Shen, Tao Mei |
| 2021 | Divergence Optimization for Noisy Universal Domain Adaptation. Qing Yu, Atsushi Hashimoto, Yoshitaka Ushiku |
| 2021 | Diverse Branch Block: Building a Convolution as an Inception-Like Unit. Xiaohan Ding, Xiangyu Zhang, Jungong Han, Guiguang Ding |
| 2021 | Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer. Yulin Li, Jianfeng He, Tianzhu Zhang, Xiang Liu, Yongdong Zhang, Feng Wu |
| 2021 | Diverse Semantic Image Synthesis via Probability Distribution Modeling. Zhentao Tan, Menglei Chai, Dongdong Chen, Jing Liao, Qi Chu, Bin Liu, Gang Hua, Nenghai Yu |
| 2021 | Diversifying Sample Generation for Accurate Data-Free Quantization. Xiangguo Zhang, Haotong Qin, Yifu Ding, Ruihao Gong, Qinghua Yan, Renshuai Tao, Yuhang Li, Fengwei Yu, Xianglong Liu |
| 2021 | Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction. Sriram Narayanan, Ramin Moslemi, Francesco Pittaluga, Buyu Liu, Manmohan Chandraker |
| 2021 | DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets. Jianpeng Zhang, Yutong Xie, Yong Xia, Chunhua Shen |
| 2021 | Dogfight: Detecting Drones From Drones Videos. Muhammad Waseem Ashraf, Waqas Sultani, Mubarak Shah |
| 2021 | Domain Adaptation With Auxiliary Target Domain-Oriented Classifier. Jian Liang, Dapeng Hu, Jiashi Feng |
| 2021 | Domain Consensus Clustering for Universal Domain Adaptation. Guangrui Li, Guoliang Kang, Yi Zhu, Yunchao Wei, Yi Yang |
| 2021 | Domain-Independent Dominance of Adaptive Methods. Pedro Savarese, David McAllester, Sudarshan Babu, Michael Maire |
| 2021 | Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels. Mingda Zhang, Tristan Maidment, Ahmad Diab, Adriana Kovashka, Rebecca Hwa |
| 2021 | Domain-Specific Suppression for Adaptive Object Detection. Yu Wang, Rui Zhang, Shuo Zhang, Miao Li, Yangyang Xia, Xishan Zhang, Shaoli Liu |
| 2021 | Double Low-Rank Representation With Projection Distance Penalty for Clustering. Zhiqiang Fu, Yao Zhao, Dongxia Chang, Xingxing Zhang, Yiming Wang |
| 2021 | Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer. Tianwei Lin, Zhuoqi Ma, Fu Li, Dongliang He, Xin Li, Errui Ding, Nannan Wang, Jie Li, Xinbo Gao |
| 2021 | DriveGAN: Towards a Controllable High-Quality Neural Simulation. Seung Wook Kim, Jonah Philion, Antonio Torralba, Sanja Fidler |
| 2021 | Dual Attention Guided Gaze Target Detection in the Wild. Yi Fang, Jiapeng Tang, Wang Shen, Wei Shen, Xiao Gu, Li Song, Guangtao Zhai |
| 2021 | Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World. Jiakai Wang, Aishan Liu, Zixin Yin, Shunchang Liu, Shiyu Tang, Xianglong Liu |
| 2021 | Dual Contradistinctive Generative Autoencoder. Gaurav Parmar, Dacheng Li, Kwonjoon Lee, Zhuowen Tu |
| 2021 | Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration. Liyuan Pan, Shah Chowdhury, Richard Hartley, Miaomiao Liu, Hongguang Zhang, Hongdong Li |
| 2021 | Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement. Hao Lu, Hu Han, S. Kevin Zhou |
| 2021 | Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning. Bin Li, Yin Li, Kevin W. Eliceiri |
| 2021 | DualAST: Dual Style-Learning Networks for Artistic Style Transfer. Haibo Chen, Lei Zhao, Zhizhong Wang, Huiming Zhang, Zhiwen Zuo, Ailin Li, Wei Xing, Dongming Lu |
| 2021 | DualGraph: A Graph-Based Method for Reasoning About Label Noise. Haiyang Zhang, Ximing Xing, Liang Liu |
| 2021 | DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution. Tong He, Chunhua Shen, Anton van den Hengel |
| 2021 | DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking. Kha Gia Quach, Pha A. Nguyen, Huu Le, Thanh-Dat Truong, Chi Nhan Duong, Minh-Triet Tran, Khoa Luu |
| 2021 | DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping. Yanchao Yang, Brian Lai, Stefano Soatto |
| 2021 | Dynamic Class Queue for Large Scale Face Recognition in the Wild. Bi Li, Teng Xi, Gang Zhang, Haocheng Feng, Junyu Han, Jingtuo Liu, Errui Ding, Wenyu Liu |
| 2021 | Dynamic Domain Adaptation for Efficient Inference. Shuang Li, Jinming Zhang, Wenxuan Ma, Chi Harold Liu, Wei Li |
| 2021 | Dynamic Head: Unifying Object Detection Heads With Attentions. Xiyang Dai, Yinpeng Chen, Bin Xiao, Dongdong Chen, Mengchen Liu, Lu Yuan, Lei Zhang |
| 2021 | Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales. Yifan Sun, Yuke Zhu, Yuhan Zhang, Pengkun Zheng, Xi Qiu, Chi Zhang, Yichen Wei |
| 2021 | Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction. Guy Gafni, Justus Thies, Michael Zollhöfer, Matthias Nießner |
| 2021 | Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation. Tengfei Song, Zijun Cui, Yuru wang, Wenming Zheng, Qiang Ji |
| 2021 | Dynamic Region-Aware Convolution. Jin Chen, Xijun Wang, Zichao Guo, Xiangyu Zhang, Jian Sun |
| 2021 | Dynamic Slimmable Network. Changlin Li, Guangrun Wang, Bing Wang, Xiaodan Liang, Zhihui Li, Xiaojun Chang |
| 2021 | Dynamic Transfer for Multi-Source Domain Adaptation. Yunsheng Li, Lu Yuan, Yinpeng Chen, Pei Wang, Nuno Vasconcelos |
| 2021 | Dynamic Weighted Learning for Unsupervised Domain Adaptation. Ni Xiao, Lei Zhang |
| 2021 | ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning. Chaofan Chen, Xiaoshan Yang, Changsheng Xu, Xuhui Huang, Zhe Ma |
| 2021 | EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual. Songyan Zhang, Zhicheng Wang, Qiang Wang, Jinshuo Zhang, Gang Wei, Xiaowen Chu |
| 2021 | Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors. Haiquan Qiu, Yao Wang, Deyu Meng |
| 2021 | Effective Sparsification of Neural Networks With Global Sparsity Constraint. Xiao Zhou, Weizhong Zhang, Hang Xu, Tong Zhang |
| 2021 | EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation. Yang Jiao, Trac D. Tran, Guangming Shi |
| 2021 | Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes. Mohamad Shahbazi, Zhiwu Huang, Danda Pani Paudel, Ajad Chhatkuli, Luc Van Gool |
| 2021 | Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation. Ling Hu, Qinsong Li, Shengjun Liu, Xinru Liu |
| 2021 | Efficient Feature Transformations for Discriminative and Generative Continual Learning. Vinay Kumar Verma, Kevin J. Liang, Nikhil Mehta, Piyush Rai, Lawrence Carin |
| 2021 | Efficient Initial Pose-Graph Generation for Global SfM. Daniel Barath, Dmytro Mishkin, Ivan Eichhardt, Ilia Shipachev, Jiri Matas |
| 2021 | Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion. Matteo Maggioni, Yibin Huang, Cheng Li, Shuai Xiao, Zhongqian Fu, Fenglong Song |
| 2021 | Efficient Object Embedding for Spliced Image Retrieval. Bor-Chun Chen, Zuxuan Wu, Larry S. Davis, Ser-Nam Lim |
| 2021 | Efficient Regional Memory Network for Video Object Segmentation. Haozhe Xie, Hongxun Yao, Shangchen Zhou, Shengping Zhang, Wenxiu Sun |
| 2021 | Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos. Yanghao Li, Tushar Nagarajan, Bo Xiong, Kristen Grauman |
| 2021 | Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation. Tong Wu, Junshi Huang, Guangyu Gao, Xiaoming Wei, Xiaolin Wei, Xuan Luo, Chi Harold Liu |
| 2021 | Embedding Transfer With Label Relaxation for Improved Metric Learning. SungYeon Kim, Dongwon Kim, Minsu Cho, Suha Kwak |
| 2021 | Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding. Hao Zhou, Chongyang Zhang, Yan Luo, Yanjun Chen, Chuanping Hu |
| 2021 | EnD: Entangling and Disentangling Deep Representations for Bias Correction. Enzo Tartaglione, Carlo Alberto Barbano, Marco Grangetto |
| 2021 | Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation. Guang Feng, Zhiwei Hu, Lihe Zhang, Huchuan Lu |
| 2021 | Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation. Elad Richardson, Yuval Alaluf, Or Patashnik, Yotam Nitzan, Yaniv Azar, Stav Shapiro, Daniel Cohen-Or |
| 2021 | End-to-End High Dynamic Range Camera Pipeline Optimization. Nicolas Robidoux, Luis E. García Capel, Dongeun Seo, Avinash Sharma, Federico Ariza, Felix Heide |
| 2021 | End-to-End Human Object Interaction Detection With HOI Transformer. Cheng Zou, Bohan Wang, Yue Hu, Junqi Liu, Qian Wu, Yu Zhao, Boxun Li, Chenguang Zhang, Chi Zhang, Yichen Wei, Jian Sun |
| 2021 | End-to-End Human Pose and Mesh Reconstruction with Transformers. Kevin Lin, Lijuan Wang, Zicheng Liu |
| 2021 | End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution. Wenzhu Xing, Karen O. Egiazarian |
| 2021 | End-to-End Object Detection With Fully Convolutional Network. Jianfeng Wang, Lin Song, Zeming Li, Hongbin Sun, Jian Sun, Nanning Zheng |
| 2021 | End-to-End Rotation Averaging With Multi-Source Propagation. Luwei Yang, Heng Li, Jamal Ahmed Rahim, Zhaopeng Cui, Ping Tan |
| 2021 | End-to-End Video Instance Segmentation With Transformers. Yuqing Wang, Zhaoliang Xu, Xinlong Wang, Chunhua Shen, Baoshan Cheng, Hao Shen, Huaxia Xia |
| 2021 | Energy-Based Learning for Scene Graph Generation. Mohammed Suhail, Abhay Mittal, Behjat Siddiquie, Chris Broaddus, Jayan Eledath, Gérard G. Medioni, Leonid Sigal |
| 2021 | Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods. Minghan Yang, Dong Xu, Hongyu Chen, Zaiwen Wen, Mengyun Chen |
| 2021 | Enhancing the Transferability of Adversarial Attacks Through Variance Tuning. Xiaosen Wang, Kun He |
| 2021 | Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings. Brett D. Roads, Bradley C. Love |
| 2021 | Ensembling With Deep Generative Views. Lucy Chai, Jun-Yan Zhu, Eli Shechtman, Phillip Isola, Richard Zhang |
| 2021 | Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection. Jingru Tan, Xin Lu, Gang Zhang, Changqing Yin, Quanquan Li |
| 2021 | Equivariant Point Network for 3D Point Cloud Analysis. Haiwei Chen, Shichen Liu, Weikai Chen, Hao Li, Randall W. Hill Jr. |
| 2021 | Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers. Apratim Bhattacharyya, Daniel Olmeda Reino, Mario Fritz, Bernt Schiele |
| 2021 | EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation. Lin Wang, Yujeong Chae, Sung-Hoon Yoon, Tae-Kyun Kim, Kuk-Jin Yoon |
| 2021 | Event-Based Bispectral Photometry Using Temporally Modulated Illumination. Tsuyoshi Takatani, Yuzuha Ito, Ayaka Ebisu, Yinqiang Zheng, Takahito Aoto |
| 2021 | Event-Based Synthetic Aperture Imaging With a Hybrid Network. Xiang Zhang, Wei Liao, Lei Yu, Wen Yang, Gui-Song Xia |
| 2021 | EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events. Peiqi Duan, Zihao W. Wang, Xinyu Zhou, Yi Ma, Boxin Shi |
| 2021 | Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation. Simon Reiß, Constantin Seibold, Alexander Freytag, Erik Rodner, Rainer Stiefelhagen |
| 2021 | Exemplar-Based Open-Set Panoptic Segmentation Network. Jaedong Hwang, Seoung Wug Oh, Joon-Young Lee, Bohyung Han |
| 2021 | Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball. Andrew Elliott, Stephen Law, Chris Russell |
| 2021 | Explicit Knowledge Incorporation for Visual Reasoning. Yifeng Zhang, Ming Jiang, Qi Zhao |
| 2021 | Exploit Visual Dependency Relations for Semantic Segmentation. Mingyuan Liu, Dan Schonfeld, Wei Tang |
| 2021 | Exploiting & Refining Depth Distributions With Triangulation Light Curtains. Yaadhav Raaj, Siddharth Ancha, Robert Tamburo, David Held, Srinivasa G. Narasimhan |
| 2021 | Exploiting Aliasing for Manga Restoration. Minshan Xie, Menghan Xia, Tien-Tsin Wong |
| 2021 | Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis. Chaoyi Zhang, Jianhui Yu, Yang Song, Weidong Cai |
| 2021 | Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection. Huiyuan Yang, Lijun Yin, Yi Zhou, Jiuxiang Gu |
| 2021 | Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing. Hyunsu Kim, Yunjey Choi, Junho Kim, Sungjoo Yoo, Youngjung Uh |
| 2021 | Explore Image Deblurring via Encoded Blur Kernel Space. Phong Tran, Anh Tuan Tran, Quynh Phung, Minh Hoai |
| 2021 | Exploring Adversarial Fake Images on Face Manifold. Dongze Li, Wei Wang, Hongxing Fan, Jing Dong |
| 2021 | Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning. Mamshad Nayeem Rizve, Salman H. Khan, Fahad Shahbaz Khan, Mubarak Shah |
| 2021 | Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts. Ji Hou, Benjamin Graham, Matthias Nießner, Saining Xie |
| 2021 | Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing. Yu Wu, Yi Yang |
| 2021 | Exploring Simple Siamese Representation Learning. Xinlei Chen, Kaiming He |
| 2021 | Exploring Sparsity in Image Super-Resolution for Efficient Inference. Longguang Wang, Xiaoyu Dong, Yingqian Wang, Xinyi Ying, Zaiping Lin, Wei An, Yulan Guo |
| 2021 | Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation. Fenglin Liu, Xian Wu, Shen Ge, Wei Fan, Yuexian Zou |
| 2021 | Exploring intermediate representation for monocular vehicle pose estimation. Shichao Li, Zengqiang Yan, Hongyang Li, Kwang-Ting Cheng |
| 2021 | Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning. Zhaowei Cai, Avinash Ravichandran, Subhransu Maji, Charless C. Fowlkes, Zhuowen Tu, Stefano Soatto |
| 2021 | Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model. Ben Moseley, Valentin Tertius Bickel, Ignacio G. Lopez Francos, Loveneesh Rana |
| 2021 | Extreme Rotation Estimation Using Dense Correlation Volumes. Ruojin Cai, Bharath Hariharan, Noah Snavely, Hadar Averbuch-Elor |
| 2021 | FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation. Sijin Wang, Ziwei Yao, Ruiping Wang, Zhongqin Wu, Xilin Chen |
| 2021 | FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter. Khoi Nguyen, Sinisa Todorovic |
| 2021 | FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise. Jaeseok Byun, Sungmin Cha, Taesup Moon |
| 2021 | FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining. Xiaoliang Dai, Alvin Wan, Peizhao Zhang, Bichen Wu, Zijian He, Zhen Wei, Kan Chen, Yuandong Tian, Matthew Yu, Peter Vajda, Joseph E. Gonzalez |
| 2021 | FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions. Weian Mao, Zhi Tian, Xinlong Wang, Chunhua Shen |
| 2021 | FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds. Haiyan Wang, Jiahao Pang, Muhammad Asad Lodhi, Yingli Tian, Dong Tian |
| 2021 | FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation. Yisheng He, Haibin Huang, Haoqiang Fan, Qifeng Chen, Jian Sun |
| 2021 | FP-NAS: Fast Probabilistic Neural Architecture Search. Zhicheng Yan, Xiaoliang Dai, Peizhao Zhang, Yuandong Tian, Bichen Wu, Matt Feiszli |
| 2021 | FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism. Wei Chen, Xi Jia, Hyung Jin Chang, Jinming Duan, Linlin Shen, Ales Leonardis |
| 2021 | FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding. Bo Sun, Banghuai Li, Shengcai Cai, Ye Yuan, Chi Zhang |
| 2021 | FSDR: Frequency Space Domain Randomization for Domain Generalization. Jiaxing Huang, Dayan Guan, Aoran Xiao, Shijian Lu |
| 2021 | FVC: A New Framework Towards Deep Video Compression in Feature Space. Zhihao Hu, Guo Lu, Dong Xu |
| 2021 | Face Forensics in the Wild. Tianfei Zhou, Wenguan Wang, Zhiyuan Liang, Jianbing Shen |
| 2021 | Face Forgery Detection by 3D Decomposition. Xiangyu Zhu, Hao Wang, Hongyan Fei, Zhen Lei, Stan Z. Li |
| 2021 | FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains. Jia Li, Zhaoyang Li, Jie Cao, Xingguang Song, Ran He |
| 2021 | FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems. Liang Tong, Zhengzhang Chen, Jingchao Ni, Wei Cheng, Dongjin Song, Haifeng Chen, Yevgeniy Vorobeychik |
| 2021 | Facial Action Unit Detection With Transformers. Geethu Miriam Jacob, Björn Stenger |
| 2021 | Fair Attribute Classification Through Latent Space De-Biasing. Vikram V. Ramaswamy, Sunnie S. Y. Kim, Olga Russakovsky |
| 2021 | Fair Feature Distillation for Visual Recognition. Sangwon Jung, Donggyu Lee, Taeeon Park, Taesup Moon |
| 2021 | Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification. Xudong Tian, Zhizhong Zhang, Shaohui Lin, Yanyun Qu, Yuan Xie, Lizhuang Ma |
| 2021 | Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback. Hui Wu, Yupeng Gao, Xiaoxiao Guo, Ziad Al-Halah, Steven Rennie, Kristen Grauman, Rogério Feris |
| 2021 | Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network. Aupendu Kar, Prabir Kumar Biswas |
| 2021 | Fast End-to-End Learning on Protein Surfaces. Freyr Sverrisson, Jean Feydy, Bruno E. Correia, Michael M. Bronstein |
| 2021 | Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov |
| 2021 | Fast and Accurate Model Scaling. Piotr Dollár, Mannat Singh, Ross B. Girshick |
| 2021 | Faster Meta Update Strategy for Noise-Robust Deep Learning. Youjiang Xu, Linchao Zhu, Lu Jiang, Yi Yang |
| 2021 | Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition. Delian Ruan, Yan Yan, Shenqi Lai, Zhenhua Chai, Chunhua Shen, Hanzi Wang |
| 2021 | Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion. Cheng Chi, Qingjie Wang, Tianyu Hao, Peng Guo, Xin Yang |
| 2021 | FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space. Quande Liu, Cheng Chen, Jing Qin, Qi Dou, Pheng-Ann Heng |
| 2021 | Few-Shot 3D Point Cloud Semantic Segmentation. Na Zhao, Tat-Seng Chua, Gim Hee Lee |
| 2021 | Few-Shot Classification With Feature Map Reconstruction Networks. Davis Wertheimer, Luming Tang, Bharath Hariharan |
| 2021 | Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling. Zhichao Huang, Xintong Han, Jia Xu, Tong Zhang |
| 2021 | Few-Shot Image Generation via Cross-Domain Correspondence. Utkarsh Ojha, Yijun Li, Jingwan Lu, Alexei A. Efros, Yong Jae Lee, Eli Shechtman, Richard Zhang |
| 2021 | Few-Shot Incremental Learning With Continually Evolved Classifiers. Chi Zhang, Nan Song, Guosheng Lin, Yun Zheng, Pan Pan, Yinghui Xu |
| 2021 | Few-Shot Object Detection via Classification Refinement and Distractor Retreatment. Yiting Li, Haiyue Zhu, Yu Cheng, Wenxin Wang, Chek Sing Teo, Cheng Xiang, Prahlad Vadakkepat, Tong Heng Lee |
| 2021 | Few-Shot Open-Set Recognition by Transformation Consistency. Minki Jeong, Seokeon Choi, Changick Kim |
| 2021 | Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need? Malik Boudiaf, Hoel Kervadec, Imtiaz Masud Ziko, Pablo Piantanida, Ismail Ben Ayed, Jose Dolz |
| 2021 | Few-Shot Transformation of Common Actions Into Time and Space. Pengwan Yang, Pascal Mettes, Cees G. M. Snoek |
| 2021 | Fine-Grained Angular Contrastive Learning With Coarse Labels. Guy Bukchin, Eli Schwartz, Kate Saenko, Ori Shahar, Rogério Feris, Raja Giryes, Leonid Karlinsky |
| 2021 | Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification. Peixian Hong, Tao Wu, Ancong Wu, Xintong Han, Wei-Shi Zheng |
| 2021 | Fingerspelling Detection in American Sign Language. Bowen Shi, Diane Brentari, Greg Shakhnarovich, Karen Livescu |
| 2021 | FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation. Jaemin Na, Heechul Jung, Hyung Jin Chang, Wonjun Hwang |
| 2021 | Flow Guided Transformable Bottleneck Networks for Motion Retargeting. Jian Ren, Menglei Chai, Oliver J. Woodford, Kyle Olszewski, Sergey Tulyakov |
| 2021 | Flow-Based Kernel Prior With Application to Blind Super-Resolution. Jingyun Liang, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte |
| 2021 | Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset. Zhimeng Zhang, Lincheng Li, Yu Ding, Changjie Fan |
| 2021 | FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation. Yair Kittenplon, Yonina C. Eldar, Dan Raviv |
| 2021 | Focus on Local: Detecting Lane Marker From Bottom Up via Key Point. Zhan Qu, Huan Jin, Yang Zhou, Zhen Yang, Wei Zhang |
| 2021 | Forecasting Irreversible Disease via Progression Learning. Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shiming Li, Yizhou Wang |
| 2021 | ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis. Yinan He, Bei Gan, Siyu Chen, Yichun Zhou, Guojun Yin, Luchuan Song, Lu Sheng, Jing Shao, Ziwei Liu |
| 2021 | Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors. Jan Bechtold, Maxim Tatarchenko, Volker Fischer, Thomas Brox |
| 2021 | Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules. Aisha Urooj Khan, Hilde Kuehne, Kevin Duarte, Chuang Gan, Niels da Vitoria Lobo, Mubarak Shah |
| 2021 | Fourier Contour Embedding for Arbitrary-Shaped Text Detection. Yiqin Zhu, Jianyong Chen, Lingyu Liang, Zhanghui Kuang, Lianwen Jin, Wayne Zhang |
| 2021 | FrameExit: Conditional Early Exiting for Efficient Video Recognition. Amir Ghodrati, Babak Ehteshami Bejnordi, Amirhossein Habibian |
| 2021 | Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection. Jiaming Li, Hongtao Xie, Jiahong Li, Zhongyuan Wang, Yongdong Zhang |
| 2021 | From Points to Multi-Object 3D Reconstruction. Francis Engelmann, Konstantinos Rematas, Bastian Leibe, Vittorio Ferrari |
| 2021 | From Rain Generation to Rain Removal. Hong Wang, Zongsheng Yue, Qi Xie, Qian Zhao, Yefeng Zheng, Deyu Meng |
| 2021 | From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach. Guotao Wang, Chenglizhao Chen, Deng-Ping Fan, Aimin Hao, Hong Qin |
| 2021 | From Shadow Generation To Shadow Removal. Zhihao Liu, Hui Yin, Xinyi Wu, Zhenyao Wu, Yang Mi, Song Wang |
| 2021 | From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation. Chen Li, Gim Hee Lee |
| 2021 | Fully Convolutional Networks for Panoptic Segmentation. Yanwei Li, Hengshuang Zhao, Xiaojuan Qi, Liwei Wang, Zeming Li, Jian Sun, Jiaya Jia |
| 2021 | Fully Convolutional Scene Graph Generation. Hengyue Liu, Ning Yan, Masood S. Mortazavi, Bir Bhanu |
| 2021 | Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction. Feng Liu, Luan Tran, Xiaoming Liu |
| 2021 | Function4D: Real-Time Human Volumetric Capture From Very Sparse Consumer RGBD Sensors. Tao Yu, Zerong Zheng, Kaiwen Guo, Pengpeng Liu, Qionghai Dai, Yebin Liu |
| 2021 | Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty. Bingbing Zhuang, Manmohan Chandraker |
| 2021 | GAIA: A Transfer Learning System of Object Detection That Fits Your Needs. Xingyuan Bu, Junran Peng, Junjie Yan, Tieniu Tan, Zhaoxiang Zhang |
| 2021 | GAN Prior Embedded Network for Blind Face Restoration in the Wild. Tao Yang, Peiran Ren, Xuansong Xie, Lei Zhang |
| 2021 | GANmut: Learning Interpretable Conditional Space for Gamut of Emotions. Stefano d'Apolito, Danda Pani Paudel, Zhiwu Huang, Andrés Romero, Luc Van Gool |
| 2021 | GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction. Cheol-Hui Min, Jinseok Bae, Junho Lee, Young Min Kim |
| 2021 | GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation. Gu Wang, Fabian Manhardt, Federico Tombari, Xiangyang Ji |
| 2021 | GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields. Michael Niemeyer, Andreas Geiger |
| 2021 | GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition. Fengmin Shi, Jie Guo, Haonan Zhang, Shan Yang, Xiying Wang, Yanwen Guo |
| 2021 | GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution. Kelvin C. K. Chan, Xintao Wang, Xiangyu Xu, Jinwei Gu, Chen Change Loy |
| 2021 | GMOT-40: A Benchmark for Generic Multiple Object Tracking. Hexin Bai, Wensheng Cheng, Peng Chu, Juehuan Liu, Kai Zhang, Haibin Ling |
| 2021 | Gated Spatio-Temporal Attention-Guided Video Deblurring. Maitreya Suin, A. N. Rajagopalan |
| 2021 | Gaussian Context Transformer. Dongsheng Ruan, Daiyin Wang, Yuan Zheng, Nenggan Zheng, Min Zheng |
| 2021 | General Instance Distillation for Object Detection. Xing Dai, Zeren Jiang, Zhao Wu, Yiping Bao, Zhicheng Wang, Si Liu, Erjin Zhou |
| 2021 | General Multi-Label Image Classification With Transformers. Jack Lanchantin, Tianlu Wang, Vicente Ordonez, Yanjun Qi |
| 2021 | Generalizable Pedestrian Detection: The Elephant in the Room. Irtiza Hasan, Shengcai Liao, Jinpeng Li, Saad Ullah Akram, Ling Shao |
| 2021 | Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts. Yongxing Dai, Xiaotong Li, Jun Liu, Zekun Tong, Ling-Yu Duan |
| 2021 | Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections. Prashant Pandey, Mrigank Raman, Sumanth Varambally, Prathosh AP |
| 2021 | Generalized Domain Adaptation. Yu Mitsuzumi, Go Irie, Daiki Ikami, Takashi Shibata |
| 2021 | Generalized Few-Shot Object Detection Without Forgetting. Zhibo Fan, Yuchen Ma, Zeming Li, Jian Sun |
| 2021 | Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection. Xiang Li, Wenhai Wang, Xiaolin Hu, Jun Li, Jinhui Tang, Jian Yang |
| 2021 | Generalizing Face Forgery Detection With High-Frequency Features. Yuchen Luo, Yong Zhang, Junchi Yan, Wei Liu |
| 2021 | Generalizing to the Open World: Deep Visual Odometry With Online Adaptation. Shunkai Li, Xin Wu, Yingdian Cao, Hongbin Zha |
| 2021 | Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE. Jialun Peng, Dong Liu, Songcen Xu, Houqiang Li |
| 2021 | Generating Manga From Illustrations via Mimicking Manga Creation Workflow. Lvmin Zhang, Xinrui Wang, Qingnan Fan, Yi Ji, Chunping Liu |
| 2021 | Generative Classifiers as a Basis for Trustworthy Image Classification. Radek Mackowiak, Lynton Ardizzone, Ullrich Köthe, Carsten Rother |
| 2021 | Generative Hierarchical Features From Synthesizing Images. Yinghao Xu, Yujun Shen, Jiapeng Zhu, Ceyuan Yang, Bolei Zhou |
| 2021 | Generative Interventions for Causal Learning. Chengzhi Mao, Augustine Cha, Amogh Gupta, Hao Wang, Junfeng Yang, Carl Vondrick |
| 2021 | Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification. Jianwen Xie, Yifei Xu, Zilong Zheng, Song-Chun Zhu, Ying Nian Wu |
| 2021 | Generic Perceptual Loss for Modeling Structured Output Dependencies. Yifan Liu, Hao Chen, Yu Chen, Wei Yin, Chunhua Shen |
| 2021 | Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis. Chao Huang, Anuj Srivastava, Rongjie Liu |
| 2021 | GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving. Yun Chen, Frieda Rong, Shivam Duggal, Shenlong Wang, Xinchen Yan, Sivabalan Manivasagam, Shangjie Xue, Ersin Yumer, Raquel Urtasun |
| 2021 | Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection. Xubin Zhong, Xian Qu, Changxing Ding, Dacheng Tao |
| 2021 | Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison. Shenzhi Wang, Liwei Wu, Lei Cui, Yujun Shen |
| 2021 | Global Transport for Fluid Reconstruction With Learned Self-Supervision. Aleksandra Franz, Barbara Solenthaler, Nils Thuerey |
| 2021 | Global2Local: Efficient Structure Search for Video Action Segmentation. Shang-hua Gao, Qi Han, Zhong-Yu Li, Pai Peng, Liang Wang, Ming-Ming Cheng |
| 2021 | Globally Optimal Relative Pose Estimation With Gravity Prior. Yaqing Ding, Daniel Barath, Jian Yang, Hui Kong, Zuzana Kukelova |
| 2021 | Goal-Oriented Gaze Estimation for Zero-Shot Learning. Yang Liu, Lei Zhou, Xiao Bai, Yifei Huang, Lin Gu, Jun Zhou, Tatsuya Harada |
| 2021 | Gradient Forward-Propagation for Large-Scale Temporal Video Modelling. Mateusz Malinowski, Dimitrios Vytiniotis, Grzegorz Swirszcz, Viorica Patraucean, João Carreira |
| 2021 | Gradient-Based Algorithms for Machine Teaching. Pei Wang, Kabir Nagrecha, Nuno Vasconcelos |
| 2021 | Graph Attention Tracking. Dongyan Guo, Yanyan Shao, Ying Cui, Zhenhua Wang, Liyan Zhang, Chunhua Shen |
| 2021 | Graph Stacked Hourglass Networks for 3D Human Pose Estimation. Tianhan Xu, Wataru Takano |
| 2021 | Graph-Based High-Order Relation Discovery for Fine-Grained Recognition. Yifan Zhao, Ke Yan, Feiyue Huang, Jia Li |
| 2021 | Graph-Based High-Order Relation Modeling for Long-Term Action Recognition. Jiaming Zhou, Kun-Yu Lin, Haoxin Li, Wei-Shi Zheng |
| 2021 | Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction. Bohan Wu, Suraj Nair, Roberto Martín-Martín, Li Fei-Fei, Chelsea Finn |
| 2021 | GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection. Abhinav Kumar, Garrick Brazil, Xiaoming Liu |
| 2021 | Group Collaborative Learning for Co-Salient Object Detection. Qi Fan, Deng-Ping Fan, Huazhu Fu, Chi-Keung Tang, Ling Shao, Yu-Wing Tai |
| 2021 | Group Whitening: Balancing Learning Efficiency and Representational Capacity. Lei Huang, Yi Zhou, Li Liu, Fan Zhu, Ling Shao |
| 2021 | Group-aware Label Transfer for Domain Adaptive Person Re-identification. Kecheng Zheng, Wu Liu, Lingxiao He, Tao Mei, Jiebo Luo, Zheng-Jun Zha |
| 2021 | Guided Integrated Gradients: An Adaptive Path Method for Removing Noise. Andrei Kapishnikov, Subhashini Venugopalan, Besim Avci, Ben Wedin, Michael Terry, Tolga Bolukbasi |
| 2021 | Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps. Yuk Heo, Yeong Jun Koh, Chang-Su Kim |
| 2021 | HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding. Ruibo Li, Guosheng Lin, Tong He, Fayao Liu, Chunhua Shen |
| 2021 | HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps. Lu Mi, Hang Zhao, Charlie Nash, Xiaohan Jin, Jiyang Gao, Chen Sun, Cordelia Schmid, Nir Shavit, Yuning Chai, Dragomir Anguelov |
| 2021 | HDR Environment Map Estimation for Real-Time Augmented Reality. Gowri Somanath, Daniel Kurz |
| 2021 | HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching. Vladimir Tankovich, Christian Hane, Yinda Zhang, Adarsh Kowdle, Sean Ryan Fanello, Sofien Bouaziz |
| 2021 | HLA-Face: Joint High-Low Adaptation for Low Light Face Detection. Wenjing Wang, Wenhan Yang, Jiaying Liu |
| 2021 | HOTR: End-to-End Human-Object Interaction Detection With Transformers. Bumsoo Kim, Junhyun Lee, Jaewoo Kang, Eun-Sol Kim, Hyunwoo J. Kim |
| 2021 | HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers. Mingyu Ding, Xiaochen Lian, Linjie Yang, Peng Wang, Xiaojie Jin, Zhiwu Lu, Ping Luo |
| 2021 | HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection. Jongyoun Noh, Sanghoon Lee, Bumsub Ham |
| 2021 | Hallucination Improves Few-Shot Object Detection. Weilin Zhang, Yu-Xiong Wang |
| 2021 | Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning. Bo Liu, Qiulei Dong, Zhanyi Hu |
| 2021 | Harmonious Semantic Line Detection via Maximal Weight Clique Selection. Dongkwon Jin, Wonhui Park, Seong-Gyun Jeong, Chang-Su Kim |
| 2021 | Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation. Ryuhei Hamaguchi, Yasutaka Furukawa, Masaki Onishi, Ken Sakurada |
| 2021 | Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment. Dongyu She, Yu-Kun Lai, Gaoxiong Yi, Kun Xu |
| 2021 | Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation. Tommi Kerola, Jie Li, Atsushi Kanehira, Yasunori Kudo, Alexis Vallet, Adrien Gaidon |
| 2021 | Hierarchical Motion Understanding via Motion Programs. Sumith Kulal, Jiayuan Mao, Alex Aiken, Jiajun Wu |
| 2021 | Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions. Navaneeth Bodla, Gaurav Shrivastava, Rama Chellappa, Abhinav Shrivastava |
| 2021 | Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph. Xin Ye, Yezhou Yang |
| 2021 | High-Fidelity Face Tracking for AR/VR via Deep Lighting Adaptation. Lele Chen, Chen Cao, Fernando De la Torre, Jason M. Saragih, Chenliang Xu, Yaser Sheikh |
| 2021 | High-Fidelity Neural Human Motion Transfer From Monocular Video. Moritz Kappel, Vladislav Golyanik, Mohamed A. Elgharib, Jann-Ole Henningson, Hans-Peter Seidel, Susana Castillo, Christian Theobalt, Marcus A. Magnor |
| 2021 | High-Fidelity and Arbitrary Face Editing. Yue Gao, Fangyun Wei, Jianmin Bao, Shuyang Gu, Dong Chen, Fang Wen, Zhouhui Lian |
| 2021 | High-Quality Stereo Image Restoration From Double Refraction. Hakyeong Kim, Andreas Meuleman, Daniel S. Jeon, Min H. Kim |
| 2021 | High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network. Jie Liang, Hui Zeng, Lei Zhang |
| 2021 | High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras. Yajing Zheng, Lingxiao Zheng, Zhaofei Yu, Boxin Shi, Yonghong Tian, Tiejun Huang |
| 2021 | Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs. Hui-Po Wang, Ning Yu, Mario Fritz |
| 2021 | Hilbert Sinkhorn Divergence for Optimal Transport. Qian Li, Zhichao Wang, Gang Li, Jun Pang, Guandong Xu |
| 2021 | HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms. Mahmoud Afifi, Marcus A. Brubaker, Michael S. Brown |
| 2021 | HoHoNet: 360 Indoor Holistic Understanding With Latent Horizontal Features. Cheng Sun, Min Sun, Hwann-Tzong Chen |
| 2021 | Holistic 3D Human and Scene Mesh Estimation From Single View Images. Zhenzhen Weng, Serena Yeung |
| 2021 | Holistic 3D Scene Understanding From a Single Image With Implicit Representation. Cheng Zhang, Zhaopeng Cui, Yinda Zhang, Bing Zeng, Marc Pollefeys, Shuaicheng Liu |
| 2021 | Home Action Genome: Cooperative Compositional Action Understanding. Nishant Rai, Haofeng Chen, Jingwei Ji, Rishi Desai, Kazuki Kozuka, Shun Ishizaka, Ehsan Adeli, Juan Carlos Niebles |
| 2021 | HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens. Zhaohui Yang, Yunhe Wang, Xinghao Chen, Jianyuan Guo, Wei Zhang, Chao Xu, Chunjing Xu, Dacheng Tao, Chang Xu |
| 2021 | House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects. Nelson Nauata, Sepidehsadat Hosseini, Kai-Hung Chang, Hang Chu, Chin-Yi Cheng, Yasutaka Furukawa |
| 2021 | How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections? Kartikeya Bhardwaj, Guihong Li, Radu Marculescu |
| 2021 | How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines. Kunal Chelani, Fredrik Kahl, Torsten Sattler |
| 2021 | How Robust Are Randomized Smoothing Based Defenses to Data Poisoning? Akshay Mehra, Bhavya Kailkhura, Pin-Yu Chen, Jihun Hamm |
| 2021 | How To Exploit the Transferability of Learned Image Compression to Conventional Codecs. Jan P. Klopp, Keng-Chi Liu, Liang-Gee Chen, Shao-Yi Chien |
| 2021 | How Transferable Are Reasoning Patterns in VQA? Corentin Kervadec, Theo Jaunet, Grigory Antipov, Moez Baccouche, Romain Vuillemot, Christian Wolf |
| 2021 | How Well Do Self-Supervised Models Transfer? Linus Ericsson, Henry Gouk, Timothy M. Hospedales |
| 2021 | How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language. Amanda Cardoso Duarte, Shruti Palaskar, Lucas Ventura, Deepti Ghadiyaram, Kenneth DeHaan, Florian Metze, Jordi Torres, Xavier Giró-i-Nieto |
| 2021 | Human De-Occlusion: Invisible Perception and Recovery for Humans. Qiang Zhou, Shiyin Wang, Yitong Wang, Zilong Huang, Xinggang Wang |
| 2021 | Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-Localization in Large Scenes From Body-Mounted Sensors. Vladimir Guzov, Aymen Mir, Torsten Sattler, Gerard Pons-Moll |
| 2021 | Human-Like Controllable Image Captioning With Verb-Specific Semantic Roles. Long Chen, Zhihong Jiang, Jun Xiao, Wei Liu |
| 2021 | HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences. Feitong Tan, Danhang Tang, Mingsong Dou, Kaiwen Guo, Rohit Pandey, Cem Keskin, Ruofei Du, Deqing Sun, Sofien Bouaziz, Sean Ryan Fanello, Ping Tan, Yinda Zhang |
| 2021 | Humble Teachers Teach Better Students for Semi-Supervised Object Detection. Yihe Tang, Weifeng Chen, Yijun Luo, Yuting Zhang |
| 2021 | HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation. Jiefeng Li, Chao Xu, Zhicun Chen, Siyuan Bian, Lixin Yang, Cewu Lu |
| 2021 | Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection. Tengfei Song, Zijun Cui, Wenming Zheng, Qiang Ji |
| 2021 | Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach. Yu Chen, Ji Zhao, Laurent Kneip |
| 2021 | Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation. Mengyao Zhai, Lei Chen, Greg Mori |
| 2021 | HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation. Yuval Nirkin, Lior Wolf, Tal Hassner |
| 2021 | Hyperdimensional Computing as a Framework for Systematic Aggregation of Image Descriptors. Peer Neubert, Stefan Schubert |
| 2021 | I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors. Chaoqi Chen, Zebiao Zheng, Yue Huang, Xinghao Ding, Yizhou Yu |
| 2021 | IBRNet: Learning Multi-View Image-Based Rendering. Qianqian Wang, Zhicheng Wang, Kyle Genova, Pratul P. Srinivasan, Howard Zhou, Jonathan T. Barron, Ricardo Martin-Brualla, Noah Snavely, Thomas A. Funkhouser |
| 2021 | ID-Unet: Iterative Soft and Hard Deformation for View Synthesis. Mingyu Yin, Li Sun, Qingli Li |
| 2021 | IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2021, virtual, June 19-25, 2021 |
| 2021 | IIRC: Incremental Implicitly-Refined Classification. Mohamed A. Abdelsalam, Mojtaba Faramarzi, Shagun Sodhani, Sarath Chandar |
| 2021 | IMAGINE: Image Synthesis by Image-Guided Model Inversion. Pei Wang, Yijun Li, Krishna Kumar Singh, Jingwan Lu, Nuno Vasconcelos |
| 2021 | IMODAL: Creating Learnable User-Defined Deformation Models. Leander Lacroix, Benjamin Charlier, Alain Trouvé, Barbara Gris |
| 2021 | IQDet: Instance-Wise Quality Distribution Sampling for Object Detection. Yuchen Ma, Songtao Liu, Zeming Li, Jian Sun |
| 2021 | Im2Vec: Synthesizing Vector Graphics Without Vector Supervision. Pradyumna Reddy, Michaël Gharbi, Michal Lukác, Niloy J. Mitra |
| 2021 | Image Change Captioning by Learning From an Auxiliary Task. Mehrdad Hosseinzadeh, Yang Wang |
| 2021 | Image De-Raining via Continual Learning. Man Zhou, Jie Xiao, Yifan Chang, Xueyang Fu, Aiping Liu, Jinshan Pan, Zheng-Jun Zha |
| 2021 | Image Generators With Conditionally-Independent Pixel Synthesis. Ivan Anokhin, Kirill Demochkin, Taras Khakhulin, Gleb Sterkin, Victor Lempitsky, Denis Korzhenkov |
| 2021 | Image Inpainting Guided by Coherence Priors of Semantics and Textures. Liang Liao, Jing Xiao, Zheng Wang, Chia-Wen Lin, Shin'ichi Satoh |
| 2021 | Image Inpainting With External-Internal Learning and Monochromic Bottleneck. Tengfei Wang, Hao Ouyang, Qifeng Chen |
| 2021 | Image Restoration for Under-Display Camera. Yuqian Zhou, David Ren, Neil Emerton, Sehoon Lim, Timothy A. Large |
| 2021 | Image Super-Resolution With Non-Local Sparse Attention. Yiqun Mei, Yuchen Fan, Yuqian Zhou |
| 2021 | Image-to-Image Translation via Hierarchical Style Disentanglement. Xinyang Li, Shengchuan Zhang, Jie Hu, Liujuan Cao, Xiaopeng Hong, Xudong Mao, Feiyue Huang, Yongjian Wu, Rongrong Ji |
| 2021 | Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter. Tianwei Wang, Yuanzhi Zhu, Lianwen Jin, Dezhi Peng, Zhe Li, Mengchao He, Yongpan Wang, Canjie Luo |
| 2021 | Improved Handling of Motion Blur in Online Object Detection. Mohamed Sayed, Gabriel J. Brostow |
| 2021 | Improved Image Matting via Real-Time User Clicks and Uncertainty Estimation. Tianyi Wei, Dongdong Chen, Wenbo Zhou, Jing Liao, Hanqing Zhao, Weiming Zhang, Nenghai Yu |
| 2021 | Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution. Hyungjun Kim, Jihoon Park, Changhun Lee, Jae-Joon Kim |
| 2021 | Improving Calibration for Long-Tailed Recognition. Zhisheng Zhong, Jiequan Cui, Shu Liu, Jiaya Jia |
| 2021 | Improving Multiple Object Tracking With Single Object Tracking. Linyu Zheng, Ming Tang, Yingying Chen, Guibo Zhu, Jinqiao Wang, Hanqing Lu |
| 2021 | Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling. Daniel Stadler, Jürgen Beyerer |
| 2021 | Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship. Jing Wang, Jinhui Tang, Mingkun Yang, Xiang Bai, Jiebo Luo |
| 2021 | Improving Panoptic Segmentation at All Scales. Lorenzo Porzi, Samuel Rota Bulò, Peter Kontschieder |
| 2021 | Improving Sign Language Translation With Monolingual Data by Sign Back-Translation. Hao Zhou, Wengang Zhou, Weizhen Qi, Junfu Pu, Houqiang Li |
| 2021 | Improving Transferability of Adversarial Patches on Face Recognition With Generative Models. Zihao Xiao, Xianfeng Gao, Chilin Fu, Yinpeng Dong, Wei Gao, Xiaolu Zhang, Jun Zhou, Jun Zhu |
| 2021 | Improving Unsupervised Image Clustering With Robust Learning. Sungwon Park, Sungwon Han, Sundong Kim, Danu Kim, Sungkyu Park, Seunghoon Hong, Meeyoung Cha |
| 2021 | Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation. Liwei Wang, Jing Huang, Yin Li, Kun Xu, Zhengyuan Yang, Dong Yu |
| 2021 | Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features. Zekun Sun, Yujie Han, Zeyu Hua, Na Ruan, Weijia Jia |
| 2021 | Improving the Transferability of Adversarial Samples With Adversarial Transformations. Weibin Wu, Yuxin Su, Michael R. Lyu, Irwin King |
| 2021 | In the Light of Feature Distributions: Moment Matching for Neural Style Transfer. Nikolai Kalischek, Jan D. Wegner, Konrad Schindler |
| 2021 | Inception Convolution With Efficient Dilation Search. Jie Liu, Chuming Li, Feng Liang, Chen Lin, Ming Sun, Junjie Yan, Wanli Ouyang, Dong Xu |
| 2021 | Incremental Few-Shot Instance Segmentation. Dan Andrei Ganea, Bas Boom, Ronald Poppe |
| 2021 | Incremental Learning via Rate Reduction. Ziyang Wu, Christina Baek, Chong You, Yi Ma |
| 2021 | Indoor Lighting Estimation Using an Event Camera. Zehao Chen, Qian Zheng, Peisong Niu, Huajin Tang, Gang Pan |
| 2021 | Indoor Panorama Planar 3D Reconstruction via Divide and Conquer. Cheng Sun, Chi-Wei Hsiao, Ning-Hsu Wang, Min Sun, Hwann-Tzong Chen |
| 2021 | Inferring CAD Modeling Sequences Using Zone Graphs. Xianghao Xu, Wenzhe Peng, Chin-Yi Cheng, Karl D. D. Willis, Daniel Ritchie |
| 2021 | Information Bottleneck Disentanglement for Identity Swapping. Gege Gao, Huaibo Huang, Chaoyou Fu, Zhaoyang Li, Ran He |
| 2021 | Information-Theoretic Segmentation by Inpainting Error Maximization. Pedro Savarese, Sunnie S. Y. Kim, Michael Maire, Greg Shakhnarovich, David McAllester |
| 2021 | Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection. Luwei Hou, Yu Zhang, Kui Fu, Jia Li |
| 2021 | Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation. Astuti Sharma, Tarun Kalluri, Manmohan Chandraker |
| 2021 | Instance Localization for Self-Supervised Detection Pretraining. Ceyuan Yang, Zhirong Wu, Bolei Zhou, Stephen Lin |
| 2021 | Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework. Qiang Zhou, Chaohui Yu, Zhibin Wang, Qi Qian, Hao Li |
| 2021 | Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals. Yiyue Luo, Yunzhu Li, Michael Foshey, Wan Shou, Pratyusha Sharma, Tomás Palacios, Antonio Torralba, Wojciech Matusik |
| 2021 | Intentonomy: A Dataset and Study Towards Human Intent Understanding. Menglin Jia, Zuxuan Wu, Austin Reiter, Claire Cardie, Serge J. Belongie, Ser-Nam Lim |
| 2021 | Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection. Qize Yang, Xihan Wei, Biao Wang, Xian-Sheng Hua, Lei Zhang |
| 2021 | Interpolation-Based Semi-Supervised Learning for Object Detection. Jisoo Jeong, Vikas Verma, Minsung Hyun, Juho Kannala, Nojun Kwak |
| 2021 | Interpretable Social Anchors for Human Trajectory Forecasting in Crowds. Parth Kothari, Brian Sifringer, Alexandre Alahi |
| 2021 | Interpreting Super-Resolution Networks With Local Attribution Maps. Jinjin Gu, Chao Dong |
| 2021 | Interventional Video Grounding With Dual Contrastive Learning. Guoshun Nan, Rui Qiao, Yao Xiao, Jun Liu, Sicong Leng, Hao Zhang, Wei Lu |
| 2021 | Intra-Inter Camera Similarity for Unsupervised Person Re-Identification. Shiyu Xuan, Shiliang Zhang |
| 2021 | Intrinsic Image Harmonization. Zonghui Guo, Haiyong Zheng, Yufeng Jiang, Zhaorui Gu, Bing Zheng |
| 2021 | Introvert: Human Trajectory Prediction via Conditional 3D Attention. Nasim Shafiee, Taskin Padir, Ehsan Elhamifar |
| 2021 | Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control. Jingfan Guo, Jie Li, Rahul Narain, Hyun Soo Park |
| 2021 | InverseForm: A Loss Function for Structured Boundary-Aware Segmentation. Shubhankar Borse, Ying Wang, Yizhe Zhang, Fatih Porikli |
| 2021 | Invertible Denoising Network: A Light Solution for Real Noise Removal. Yang Liu, Zhenyue Qin, Saeed Anwar, Pan Ji, Dongwoo Kim, Sabrina B. Caldwell, Tom Gedeon |
| 2021 | Invertible Image Signal Processing. Yazhou Xing, Zian Qian, Qifeng Chen |
| 2021 | Inverting Generative Adversarial Renderer for Face Reconstruction. Jingtan Piao, Keqiang Sun, Quan Wang, Kwan-Yee Lin, Hongsheng Li |
| 2021 | Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect. Athena Sayles, Ashish Hooda, Mohit Gupta, Rahul Chatterjee, Earlence Fernandes |
| 2021 | Involution: Inverting the Inherence of Convolution for Visual Recognition. Duo Li, Jie Hu, Changhu Wang, Xiangtai Li, Qi She, Lei Zhu, Tong Zhang, Qifeng Chen |
| 2021 | IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking. Shuai Jia, Yibing Song, Chao Ma, Xiaokang Yang |
| 2021 | IronMask: Modular Architecture for Protecting Deep Face Template. Sunpill Kim, Yunseong Jeong, Jinsu Kim, Jungkon Kim, Hyung Tae Lee, Jae Hong Seo |
| 2021 | Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations. Yifan Wang, Shihao Wu, Cengiz Öztireli, Olga Sorkine-Hornung |
| 2021 | Isometric Multi-Shape Matching. Maolin Gao, Zorah Lähner, Johan Thunberg, Daniel Cremers, Florian Bernard |
| 2021 | Iterative Filter Adaptive Network for Single Image Defocus Deblurring. Junyong Lee, Hyeongseok Son, Jaesung Rim, Sunghyun Cho, Seungyong Lee |
| 2021 | Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning. Mingjie Sun, Jimin Xiao, Eng Gee Lim |
| 2021 | Jigsaw Clustering for Unsupervised Visual Representation Learning. Pengguang Chen, Shu Liu, Jiaya Jia |
| 2021 | Jo-SRC: A Contrastive Approach for Combating Noisy Labels. Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, Zhenmin Tang |
| 2021 | Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI. Yohan Jun, Hyungseob Shin, Taejoon Eo, Dosik Hwang |
| 2021 | Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification. Hao Chen, Yaohui Wang, Benoit Lagadec, Antitza Dantcheva, François Brémond |
| 2021 | Joint Learning of 3D Shape Retrieval and Deformation. Mikaela Angelina Uy, Vladimir G. Kim, Minhyuk Sung, Noam Aigerman, Siddhartha Chaudhuri, Leonidas J. Guibas |
| 2021 | Joint Negative and Positive Learning for Noisy Labels. Youngdong Kim, Juseung Yun, Hyounguk Shon, Junmo Kim |
| 2021 | Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification. Fengxiang Yang, Zhun Zhong, Zhiming Luo, Yuanzheng Cai, Yaojin Lin, Shaozi Li, Nicu Sebe |
| 2021 | Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation. Lewei Yao, Renjie Pi, Hang Xu, Wei Zhang, Zhenguo Li, Tong Zhang |
| 2021 | KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment. Soo Ye Kim, Hyeonjun Sim, Munchurl Kim |
| 2021 | KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA. Kenneth Marino, Xinlei Chen, Devi Parikh, Abhinav Gupta, Marcus Rohrbach |
| 2021 | KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning. Li Yang, Zhezhi He, Junshan Zhang, Deliang Fan |
| 2021 | Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain. Mingchen Zhuge, Dehong Gao, Deng-Ping Fan, Linbo Jin, Ben Chen, Haoming Zhou, Minghui Qiu, Ling Shao |
| 2021 | Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection. Lucas Tabelini Torres, Rodrigo Ferreira Berriel, Thiago M. Paixão, Claudine Badue, Alberto F. De Souza, Thiago Oliveira-Santos |
| 2021 | KeepAugment: A Simple Information-Preserving Data Augmentation Approach. Chengyue Gong, Dilin Wang, Meng Li, Vikas Chandra, Qiang Liu |
| 2021 | Keypoint-Graph-Driven Learning Framework for Object Pose Estimation. Shaobo Zhang, Wanqing Zhao, Ziyu Guan, Xianlin Peng, Jinye Peng |
| 2021 | KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control. Tomas Jakab, Richard Tucker, Ameesh Makadia, Jiajun Wu, Noah Snavely, Angjoo Kanazawa |
| 2021 | Knowledge Evolution in Neural Networks. Ahmed Taha, Abhinav Shrivastava, Larry S. Davis |
| 2021 | L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing. Guoxing Yang, Nanyi Fei, Mingyu Ding, Guangzhen Liu, Zhiwu Lu, Tao Xiang |
| 2021 | LAFEAT: Piercing Through Adversarial Defenses With Latent Features. Yunrui Yu, Xitong Gao, Cheng-Zhong Xu |
| 2021 | LASR: Learning Articulated Shape Reconstruction From a Monocular Video. Gengshan Yang, Deqing Sun, Varun Jampani, Daniel Vlasic, Forrester Cole, Huiwen Chang, Deva Ramanan, William T. Freeman, Ce Liu |
| 2021 | LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution. Xin Deng, Hao Wang, Mai Xu, Yichen Guo, Yuhang Song, Li Yang |
| 2021 | LEAP: Learning Articulated Occupancy of People. Marko Mihajlovic, Yan Zhang, Michael J. Black, Siyu Tang |
| 2021 | LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering. Fu-En Wang, Yu-Hsuan Yeh, Min Sun, Wei-Chen Chiu, Yi-Hsuan Tsai |
| 2021 | LOHO: Latent Optimization of Hairstyles via Orthogonalization. Rohit Saha, Brendan Duke, Florian Shkurti, Graham W. Taylor, Parham Aarabi |
| 2021 | LPSNet: A Lightweight Solution for Fast Panoptic Segmentation. Weixiang Hong, Qingpei Guo, Wei Zhang, Jingdong Chen, Wei Chu |
| 2021 | LQF: Linear Quadratic Fine-Tuning. Alessandro Achille, Aditya Golatkar, Avinash Ravichandran, Marzia Polito, Stefano Soatto |
| 2021 | LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents. ByeoungDo Kim, SeongHyeon Park, Seokhwan Lee, Elbek Khoshimjonov, Dongsuk Kum, Junsoo Kim, Jeong Soo Kim, Jun Won Choi |
| 2021 | Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting. K. Ram Prabhakar, Gowtham Senthil, Susmit Agrawal, R. Venkatesh Babu, Rama Krishna Sai Subrahmanyam Gorthi |
| 2021 | Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search. Kaicheng Yu, René Ranftl, Mathieu Salzmann |
| 2021 | Large-Capacity Image Steganography Based on Invertible Neural Networks. Shao-Ping Lu, Rong Wang, Tao Zhong, Paul L. Rosin |
| 2021 | Large-Scale Localization Datasets in Crowded Indoor Spaces. Donghwan Lee, Soo-Hyun Ryu, Suyong Yeon, Yonghan Lee, Deokhwa Kim, Cheolho Han, Yohann Cabon, Philippe Weinzaepfel, Nicolas Guérin, Gabriela Csurka, Martin Humenberger |
| 2021 | Layer-Wise Searching for 1-Bit Detectors. Sheng Xu, Junhe Zhao, Jinhu Lü, Baochang Zhang, Shumin Han, David S. Doermann |
| 2021 | Layerwise Optimization by Gradient Decomposition for Continual Learning. Shixiang Tang, Dapeng Chen, Jinguo Zhu, Shijie Yu, Wanli Ouyang |
| 2021 | Layout-Guided Novel View Synthesis From a Single Indoor Panorama. Jiale Xu, Jia Zheng, Yanyu Xu, Rui Tang, Shenghua Gao |
| 2021 | LayoutGMN: Neural Graph Matching for Structural Layout Similarity. Akshay Gadi Patil, Manyi Li, Matthew Fisher, Manolis Savva, Hao Zhang |
| 2021 | LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity. Cheng-Fu Yang, Wan-Cyuan Fan, Fu-En Yang, Yu-Chiang Frank Wang |
| 2021 | Learnable Companding Quantization for Accurate Low-Bit Neural Networks. Kohei Yamamoto |
| 2021 | Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking. Jiawei He, Zehao Huang, Naiyan Wang, Zhaoxiang Zhang |
| 2021 | Learnable Motion Coherence for Correspondence Pruning. Yuan Liu, Lingjie Liu, Cheng Lin, Zhen Dong, Wenping Wang |
| 2021 | Learned Initializations for Optimizing Coordinate-Based Neural Representations. Matthew Tancik, Ben Mildenhall, Terrance Wang, Divi Schmidt, Pratul P. Srinivasan, Jonathan T. Barron, Ren Ng |
| 2021 | Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification. Jiaxing Chen, Xinyang Jiang, Fudong Wang, Jun Zhang, Feng Zheng, Xing Sun, Wei-Shi Zheng |
| 2021 | Learning Accurate Dense Correspondences and When To Trust Them. Prune Truong, Martin Danelljan, Luc Van Gool, Radu Timofte |
| 2021 | Learning Affinity-Aware Upsampling for Deep Image Matting. Yutong Dai, Hao Lu, Chunhua Shen |
| 2021 | Learning Asynchronous and Sparse Human-Object Interaction in Videos. Romero F. A. B. de Morais, Vuong Le, Svetha Venkatesh, Truyen Tran |
| 2021 | Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation. Tao Tu, Qing Ping, Govindarajan Thattai, Gökhan Tür, Prem Natarajan |
| 2021 | Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling. Wei Ji, Shuang Yu, Junde Wu, Kai Ma, Cheng Bian, Qi Bi, Jingjing Li, Hanruo Liu, Li Cheng, Yefeng Zheng |
| 2021 | Learning Camera Localization via Dense Scene Matching. Shitao Tang, Chengzhou Tang, Rui Huang, Siyu Zhu, Ping Tan |
| 2021 | Learning Complete 3D Morphable Face Models From Images and Videos. Mallikarjun B. R., Ayush Tewari, Hans-Peter Seidel, Mohamed A. Elgharib, Christian Theobalt |
| 2021 | Learning Compositional Radiance Fields of Dynamic Human Heads. Ziyan Wang, Timur M. Bagautdinov, Stephen Lombardi, Tomas Simon, Jason M. Saragih, Jessica K. Hodgins, Michael Zollhöfer |
| 2021 | Learning Compositional Representation for 4D Captures With Neural ODE. Boyan Jiang, Yinda Zhang, Xingkui Wei, Xiangyang Xue, Yanwei Fu |
| 2021 | Learning Continuous Image Representation With Local Implicit Image Function. Yinbo Chen, Sifei Liu, Xiaolong Wang |
| 2021 | Learning Cross-Modal Retrieval With Noisy Labels. Peng Hu, Xi Peng, Hongyuan Zhu, Liangli Zhen, Jie Lin |
| 2021 | Learning Decision Trees Recurrently Through Communication. Stephan Alaniz, Diego Marcos, Bernt Schiele, Zeynep Akata |
| 2021 | Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection. Jiacheng Cheng, Nuno Vasconcelos |
| 2021 | Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction. Dongsheng An, Jianwen Xie, Ping Li |
| 2021 | Learning Delaunay Surface Elements for Mesh Reconstruction. Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov |
| 2021 | Learning Discriminative Prototypes With Dynamic Time Warping. Xiaobin Chang, Frederick Tung, Greg Mori |
| 2021 | Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning. Chengming Xu, Yanwei Fu, Chen Liu, Chengjie Wang, Jilin Li, Feiyue Huang, Li Zhang, Xiangyang Xue |
| 2021 | Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation. Hyojin Park, Jayeon Yoo, Seohyeong Jeong, Ganesh Venkatesh, Nojun Kwak |
| 2021 | Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking. Yiding Yang, Zhou Ren, Haoxiang Li, Chunluan Zhou, Xinchao Wang, Gang Hua |
| 2021 | Learning Feature Aggregation for Deep 3D Morphable Models. Zhixiang Chen, Tae-Kyun Kim |
| 2021 | Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels. Xiaogang Wang, Xun Sun, Xinyu Cao, Kai Xu, Bin Zhou |
| 2021 | Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading. Sucheng Ren, Yong Du, Jianming Lv, Guoqiang Han, Shengfeng He |
| 2021 | Learning Goals From Failure. Dave Epstein, Carl Vondrick |
| 2021 | Learning Graph Embeddings for Compositional Zero-Shot Learning. Muhammad Ferjad Naeem, Yongqin Xian, Federico Tombari, Zeynep Akata |
| 2021 | Learning Graphs for Knowledge Transfer With Limited Labels. Pallabi Ghosh, Nirat Saini, Larry S. Davis, Abhinav Shrivastava |
| 2021 | Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos. Yasamin Jafarian, Hyun Soo Park |
| 2021 | Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation. Bo Li, Yezhen Wang, Shanghang Zhang, Dongsheng Li, Kurt Keutzer, Trevor Darrell, Han Zhao |
| 2021 | Learning Monocular 3D Reconstruction of Articulated Categories From Motion. Filippos Kokkinos, Iasonas Kokkinos |
| 2021 | Learning Multi-Scale Photo Exposure Correction. Mahmoud Afifi, Konstantinos G. Derpanis, Björn Ommer, Michael S. Brown |
| 2021 | Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis. Yaxuan Zhu, Ruiqi Gao, Siyuan Huang, Song-Chun Zhu, Ying Nian Wu |
| 2021 | Learning Normal Dynamics in Videos With Meta Prototype Network. Hui Lv, Chen Chen, Zhen Cui, Chunyan Xu, Yong Li, Jian Yang |
| 2021 | Learning Optical Flow From Still Images. Filippo Aleotti, Matteo Poggi, Stefano Mattoccia |
| 2021 | Learning Optical Flow From a Few Matches. Shihao Jiang, Yao Lu, Hongdong Li, Richard Hartley |
| 2021 | Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction. Jiapeng Tang, Dan Xu, Kui Jia, Lei Zhang |
| 2021 | Learning Placeholders for Open-Set Recognition. Da-Wei Zhou, Han-Jia Ye, De-Chuan Zhan |
| 2021 | Learning Position and Target Consistency for Memory-Based Video Object Segmentation. Li Hu, Peng Zhang, Bang Zhang, Pan Pan, Yinghui Xu, Rong Jin |
| 2021 | Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression. Wanhua Li, Xiaoke Huang, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2021 | Learning Progressive Point Embeddings for 3D Point Cloud Generation. Cheng Wen, Baosheng Yu, Dacheng Tao |
| 2021 | Learning Salient Boundary Feature for Anchor-free Temporal Action Localization. Chuming Lin, Chengming Xu, Donghao Luo, Yabiao Wang, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Yanwei Fu |
| 2021 | Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression. Yuanchao Bai, Xianming Liu, Wangmeng Zuo, Yaowei Wang, Xiangyang Ji |
| 2021 | Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution. Baoli Sun, Xinchen Ye, Baopu Li, Haojie Li, Zhihui Wang, Rui Xu |
| 2021 | Learning Semantic Person Image Generation by Region-Adaptive Normalization. Zhengyao Lv, Xiaoming Li, Xin Li, Fu Li, Tianwei Lin, Dongliang He, Wangmeng Zuo |
| 2021 | Learning Semantic-Aware Dynamics for Video Prediction. Xinzhu Bei, Yanchao Yang, Stefano Soatto |
| 2021 | Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data. Ying Shu, Yan Yan, Si Chen, Jing-Hao Xue, Chunhua Shen, Hanzi Wang |
| 2021 | Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring. Jiangxin Dong, Stefan Roth, Bernt Schiele |
| 2021 | Learning Statistical Texture for Semantic Segmentation. Lanyun Zhu, Deyi Ji, Shiping Zhu, Weihao Gan, Wei Wu, Junjie Yan |
| 2021 | Learning Student Networks in the Wild. Hanting Chen, Tianyu Guo, Chang Xu, Wenshuo Li, Chunjing Xu, Chao Xu, Yunhe Wang |
| 2021 | Learning Temporal Consistency for Low Light Video Enhancement From Single Images. Fan Zhang, Yu Li, Shaodi You, Ying Fu |
| 2021 | Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction. Shipeng Zhang, Lizhi Wang, Lei Zhang, Hua Huang |
| 2021 | Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection. Zhenyu Zhang, Yanhao Ge, Renwang Chen, Ying Tai, Yan Yan, Jian Yang, Chengjie Wang, Jilin Li, Feiyue Huang |
| 2021 | Learning To Associate Every Segment for Video Panoptic Segmentation. Sanghyun Woo, Dahun Kim, Joon-Young Lee, In So Kweon |
| 2021 | Learning To Count Everything. Viresh Ranjan, Udbhav Sharma, Thu Nguyen, Minh Hoai |
| 2021 | Learning To Filter: Siamese Relation Network for Robust Tracking. Siyuan Cheng, Bineng Zhong, Guorong Li, Xin Liu, Zhenjun Tang, Xianxian Li, Jing Wang |
| 2021 | Learning To Fuse Asymmetric Feature Maps in Siamese Trackers. Wencheng Han, Xingping Dong, Fahad Shahbaz Khan, Ling Shao, Jianbing Shen |
| 2021 | Learning To Identify Correct 2D-2D Line Correspondences on Sphere. Haoang Li, Kai Chen, Ji Zhao, Jiangliu Wang, Pyojin Kim, Zhe Liu, Yun-Hui Liu |
| 2021 | Learning To Predict Visual Attributes in the Wild. Khoi Pham, Kushal Kafle, Zhe Lin, Zhihong Ding, Scott Cohen, Quan Tran, Abhinav Shrivastava |
| 2021 | Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild. Zhaoyuan Yin, Jia Zheng, Weixin Luo, Shenhan Qian, Hanling Zhang, Shenghua Gao |
| 2021 | Learning To Reconstruct High Speed and High Dynamic Range Videos From Events. Yunhao Zou, Yinqiang Zheng, Tsuyoshi Takatani, Ying Fu |
| 2021 | Learning To Recover 3D Scene Shape From a Single Image. Wei Yin, Jianming Zhang, Oliver Wang, Simon Niklaus, Long Mai, Simon Chen, Chunhua Shen |
| 2021 | Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation. Suman Saha, Anton Obukhov, Danda Pani Paudel, Menelaos Kanakis, Yuhua Chen, Stamatios Georgoulis, Luc Van Gool |
| 2021 | Learning To Restore Hazy Video: A New Real-World Dataset and a New Method. Xinyi Zhang, Hang Dong, Jinshan Pan, Chao Zhu, Ying Tai, Chengjie Wang, Jilin Li, Feiyue Huang, Fei Wang |
| 2021 | Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment. Yuhan Shen, Lu Wang, Ehsan Elhamifar |
| 2021 | Learning To Segment Rigid Motions From Two Frames. Gengshan Yang, Deva Ramanan |
| 2021 | Learning To Warp for Style Transfer. Xiao-Chang Liu, Yong-Liang Yang, Peter Hall |
| 2021 | Learning Triadic Belief Dynamics in Nonverbal Communication From Videos. Lifeng Fan, Shuwen Qiu, Zilong Zheng, Tao Gao, Song-Chun Zhu, Yixin Zhu |
| 2021 | Learning View Selection for 3D Scenes. Yifan Sun, Qixing Huang, Dun-Yu Hsiao, Li Guan, Gang Hua |
| 2021 | Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization. Long Zhao, Yuxiao Wang, Jiaping Zhao, Liangzhe Yuan, Jennifer J. Sun, Florian Schroff, Hartwig Adam, Xi Peng, Dimitris N. Metaxas, Ting Liu |
| 2021 | Learning a Facial Expression Embedding Disentangled From Identity. Wei Zhang, Xianpeng Ji, Keyu Chen, Yu Ding, Changjie Fan |
| 2021 | Learning a Non-Blind Deblurring Network for Night Blurry Images. Liang Chen, Jiawei Zhang, Jinshan Pan, Songnan Lin, Faming Fang, Jimmy S. Ren |
| 2021 | Learning a Proposal Classifier for Multiple Object Tracking. Peng Dai, Renliang Weng, Wongun Choi, Changshui Zhang, Zhangping He, Wei Ding |
| 2021 | Learning a Self-Expressive Network for Subspace Clustering. Shangzhi Zhang, Chong You, René Vidal, Chun-Guang Li |
| 2021 | Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise. Xiangyu Rui, Xiangyong Cao, Qi Xie, Zongsheng Yue, Qian Zhao, Deyu Meng |
| 2021 | Learning by Aligning Videos in Time. Sanjay Haresh, Sateesh Kumar, Huseyin Coskun, Shahram Najam Syed, Andrey Konin, M. Zeeshan Zia, Quoc-Huy Tran |
| 2021 | Learning by Planning: Language-Guided Global Image Editing. Jing Shi, Ning Xu, Yihang Xu, Trung Bui, Franck Dernoncourt, Chenliang Xu |
| 2021 | Learning by Watching. Jimuyang Zhang, Eshed Ohn-Bar |
| 2021 | Learning the Best Pooling Strategy for Visual Semantic Embedding. Jiacheng Chen, Hexiang Hu, Hao Wu, Yuning Jiang, Changhu Wang |
| 2021 | Learning the Non-Differentiable Optimization for Blind Super-Resolution. Zheng Hui, Jie Li, Xiumei Wang, Xinbo Gao |
| 2021 | Learning the Predictability of the Future. Didac Suris, Ruoshi Liu, Carl Vondrick |
| 2021 | Learning the Superpixel in a Non-Iterative and Lifelong Manner. Lei Zhu, Qi She, Bin Zhang, Yanye Lu, Zhilin Lu, Duo Li, Jie Hu |
| 2021 | Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification. Yuyang Zhao, Zhun Zhong, Fengxiang Yang, Zhiming Luo, Yaojin Lin, Shaozi Li, Nicu Sebe |
| 2021 | Learning to Track Instances without Video Annotations. Yang Fu, Sifei Liu, Umar Iqbal, Shalini De Mello, Humphrey Shi, Jan Kautz |
| 2021 | Learning-Based Image Registration With Meta-Regularization. Ebrahim Al Safadi, Xubo Song |
| 2021 | Lesion-Aware Transformers for Diabetic Retinopathy Grading. Rui Sun, Yihao Li, Tianzhu Zhang, Zhendong Mao, Feng Wu, Yongdong Zhang |
| 2021 | Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling. Jie Lei, Linjie Li, Luowei Zhou, Zhe Gan, Tamara L. Berg, Mohit Bansal, Jingjing Liu |
| 2021 | Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms. Yuxing Tang, Zhenjie Cao, Yanbo Zhang, Zhicheng Yang, Zongcheng Ji, Yiwei Wang, Mei Han, Jie Ma, Jing Xiao, Peng Chang |
| 2021 | Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching. Qi Jia, Zhengjun Li, Xin Fan, Haotian Zhao, Shiyu Teng, Xinchen Ye, Longin Jan Latecki |
| 2021 | Leveraging the Availability of Two Cameras for Illuminant Estimation. Abdelrahman Abdelhamed, Abhijith Punnappurath, Michael S. Brown |
| 2021 | LiBRe: A Practical Bayesian Approach to Adversarial Detection. Zhijie Deng, Xiao Yang, Shizhen Xu, Hang Su, Jun Zhu |
| 2021 | LiDAR R-CNN: An Efficient and Universal 3D Object Detector. Zhichao Li, Feng Wang, Naiyan Wang |
| 2021 | LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection. Jin Fang, Xinxin Zuo, Dingfu Zhou, Shengze Jin, Sen Wang, Liangjun Zhang |
| 2021 | LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network. Fangzhou Hong, Hui Zhou, Xinge Zhu, Hongsheng Li, Ziwei Liu |
| 2021 | Lifelong Person Re-Identification via Adaptive Knowledge Accumulation. Nan Pu, Wei Chen, Yu Liu, Erwin M. Bakker, Michael S. Lew |
| 2021 | Lifting 2D StyleGAN for 3D-Aware Face Generation. Yichun Shi, Divyansh Aggarwal, Anil K. Jain |
| 2021 | Light Field Super-Resolution With Zero-Shot Learning. Zhen Cheng, Zhiwei Xiong, Chang Chen, Dong Liu, Zheng-Jun Zha |
| 2021 | LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search. Bin Yan, Houwen Peng, Kan Wu, Dong Wang, Jianlong Fu, Huchuan Lu |
| 2021 | Lighting, Reflectance and Geometry Estimation From 360deg Panoramic Stereo. Junxuan Li, Hongdong Li, Yasuyuki Matsushita |
| 2021 | Limitations of Post-Hoc Feature Alignment for Robustness. Collin Burns, Jacob Steinhardt |
| 2021 | Line Segment Detection Using Transformers Without Edges. Yifan Xu, Weijian Xu, David Cheung, Zhuowen Tu |
| 2021 | Linear Semantics in Generative Adversarial Networks. Jianjin Xu, Changxi Zheng |
| 2021 | Linguistic Structures As Weak Supervision for Visual Scene Graph Generation. Keren Ye, Adriana Kovashka |
| 2021 | LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces From Video Using Pose and Lighting Normalization. Avisek Lahiri, Vivek Kwatra, Christian Früh, John Lewis, Chris Bregler |
| 2021 | Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection. Alexandros Haliassos, Konstantinos Vougioukas, Stavros Petridis, Maja Pantic |
| 2021 | Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer. Thao Nguyen, Anh Tuan Tran, Minh Hoai |
| 2021 | Lite-HRNet: A Lightweight High-Resolution Network. Changqian Yu, Bin Xiao, Changxin Gao, Lu Yuan, Lei Zhang, Nong Sang, Jingdong Wang |
| 2021 | LoFTR: Detector-Free Local Feature Matching With Transformers. Jiaming Sun, Zehong Shen, Yuang Wang, Hujun Bao, Xiaowei Zhou |
| 2021 | Localizing Visual Sounds the Hard Way. Honglie Chen, Weidi Xie, Triantafyllos Afouras, Arsha Nagrani, Andrea Vedaldi, Andrew Zisserman |
| 2021 | Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration. Shaofei Wang, Andreas Geiger, Siyu Tang |
| 2021 | Locate Then Segment: A Strong Pipeline for Referring Image Segmentation. Ya Jing, Tao Kong, Wei Wang, Liang Wang, Lei Li, Tieniu Tan |
| 2021 | Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings. Hao Guo, Song Wang |
| 2021 | Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding. Binbin Huang, Dongze Lian, Weixin Luo, Shenghua Gao |
| 2021 | Look Before You Speak: Visually Contextualized Utterances. Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid |
| 2021 | Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation. Chufeng Tang, Hang Chen, Xiao Li, Jianmin Li, Zhaoxiang Zhang, Xiaolin Hu |
| 2021 | Looking Into Your Speech: Learning Cross-Modal Affinity for Audio-Visual Speech Separation. Jiyoung Lee, Soo-Whan Chung, Sunok Kim, Hong-Goo Kang, Kwanghoon Sohn |
| 2021 | M3DSSD: Monocular 3D Single Stage Object Detector. Shujie Luo, Hang Dai, Ling Shao, Yong Ding |
| 2021 | M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training. Minheng Ni, Haoyang Huang, Lin Su, Edward Cui, Taroon Bharti, Lijuan Wang, Dongdong Zhang, Nan Duan |
| 2021 | MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution. Liying Lu, Wenbo Li, Xin Tao, Jiangbo Lu, Jiaya Jia |
| 2021 | MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation. Sanjay Kariyappa, Atul Prakash, Moinuddin K. Qureshi |
| 2021 | MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection. Jia-Chang Feng, Fa-Ting Hong, Wei-Shi Zheng |
| 2021 | MIST: Multiple Instance Spatial Transformer. Baptiste Angles, Yuhe Jin, Simon Kornblith, Andrea Tagliasacchi, Kwang Moo Yi |
| 2021 | MOOD: Multi-Level Out-of-Distribution Detection. Ziqian Lin, Sreya Dutta Roy, Yixuan Li |
| 2021 | MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space. Rui Huang, Yixuan Li |
| 2021 | MOST: A Multi-Oriented Scene Text Detector With Localization Refinement. Minghang He, Minghui Liao, Zhibo Yang, Humen Zhong, Jun Tang, Wenqing Cheng, Cong Yao, Yongpan Wang, Xiang Bai |
| 2021 | MP3: A Unified Model To Map, Perceive, Predict and Plan. Sergio Casas, Abbas Sadat, Raquel Urtasun |
| 2021 | MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network. Yulun Zhang, Kai Li, Kunpeng Li, Yun Fu |
| 2021 | MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation. Tianxiang Ma, Bo Peng, Wei Wang, Jing Dong |
| 2021 | MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers. Huiyu Wang, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2021 | MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes. Zhikai Chen, Lingxi Xie, Shanmin Pang, Yong He, Bo Zhang |
| 2021 | MagFace: A Universal Representation for Face Recognition and Quality Assessment. Qiang Meng, Shichao Zhao, Zhida Huang, Feng Zhou |
| 2021 | Magic Layouts: Structural Prior for Component Detection in User Interface Designs. Dipu Manandhar, Hailin Jin, John P. Collomosse |
| 2021 | Manifold Regularized Dynamic Network Pruning. Yehui Tang, Yunhe Wang, Yixing Xu, Yiping Deng, Chao Xu, Dacheng Tao, Chang Xu |
| 2021 | ManipulaTHOR: A Framework for Visual Object Manipulation. Kiana Ehsani, Winson Han, Alvaro Herrasti, Eli VanderBilt, Luca Weihs, Eric Kolve, Aniruddha Kembhavi, Roozbeh Mottaghi |
| 2021 | Mask Guided Matting via Progressive Refinement Network. Qihang Yu, Jianming Zhang, He Zhang, Yilin Wang, Zhe Lin, Ning Xu, Yutong Bai, Alan L. Yuille |
| 2021 | Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis. Yi Liu, Xiaoyang Huo, Tianyi Chen, Xiangping Zeng, Si Wu, Zhiwen Yu, Hau-San Wong |
| 2021 | Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging. Ilya Chugunov, Seung-Hwan Baek, Qiang Fu, Wolfgang Heidrich, Felix Heide |
| 2021 | Masksembles for Uncertainty Estimation. Nikita Durasov, Timur M. Bagautdinov, Pierre Baqué, Pascal Fua |
| 2021 | MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training. Chengyue Gong, Tongzheng Ren, Mao Ye, Qiang Liu |
| 2021 | MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection. Vibashan VS, Vikram Gupta, Poojan Oza, Vishwanath A. Sindagi, Vishal M. Patel |
| 2021 | MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking. Jennifer Jang, Heinrich Jiang |
| 2021 | Memory Oriented Transfer Learning for Semi-Supervised Image Deraining. Huaibo Huang, Aijing Yu, Ran He |
| 2021 | Memory-Efficient Network for Large-Scale Video Compressive Sensing. Ziheng Cheng, Bo Chen, Guanliang Liu, Hao Zhang, Ruiying Lu, Zhengjue Wang, Xin Yuan |
| 2021 | Memory-Guided Unsupervised Image-to-Image Translation. Somi Jeong, Youngjung Kim, Eungbean Lee, Kwanghoon Sohn |
| 2021 | Mesh Saliency: An Independent Perceptual Measure or a Derivative of Image Saliency? Ran Song, Wei Zhang, Yitian Zhao, Yonghuai Liu, Paul L. Rosin |
| 2021 | Mesoscopic Photogrammetry With an Unstabilized Phone Camera. Kevin C. Zhou, Colin L. V. Cooke, Jaehee Park, Ruobing Qian, Roarke Horstmeyer, Joseph A. Izatt, Sina Farsiu |
| 2021 | Meta Batch-Instance Normalization for Generalizable Person Re-Identification. Seokeon Choi, Taekyung Kim, Minki Jeong, Hyoungseob Park, Changick Kim |
| 2021 | Meta Pseudo Labels. Hieu Pham, Zihang Dai, Qizhe Xie, Quoc V. Le |
| 2021 | Meta-Mining Discriminative Samples for Kinship Verification. Wanhua Li, Shiwei Wang, Jiwen Lu, Jianjiang Feng, Jie Zhou |
| 2021 | MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation. Guoqiang Wei, Cuiling Lan, Wenjun Zeng, Zhibo Chen |
| 2021 | MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation. Xiaoqing Guo, Chen Yang, Baopu Li, Yixuan Yuan |
| 2021 | MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition. Ayan Kumar Bhunia, Shuvozit Ghose, Amandeep Kumar, Pinaki Nath Chowdhury, Aneeshan Sain, Yi-Zhe Song |
| 2021 | MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition. Shuang Li, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Feng Qiao, Xinjing Cheng |
| 2021 | MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing. Zhengjue Wang, Hao Zhang, Ziheng Cheng, Bo Chen, Xin Yuan |
| 2021 | MetaSets: Meta-Learning on Point Sets for Generalizable Representations. Chao Huang, Zhangjie Cao, Yunbo Wang, Jianmin Wang, Mingsheng Long |
| 2021 | Metadata Normalization. Mandy Lu, Qingyu Zhao, Jiequan Zhang, Kilian M. Pohl, Li Fei-Fei, Juan Carlos Niebles, Ehsan Adeli |
| 2021 | MetricOpt: Learning To Optimize Black-Box Evaluation Metrics. Chen Huang, Shuangfei Zhai, Pengsheng Guo, Josh M. Susskind |
| 2021 | Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner. Chong Yu |
| 2021 | Mining Better Samples for Contrastive Learning of Temporal Correspondence. Sangryul Jeon, Dongbo Min, Seungryong Kim, Kwanghoon Sohn |
| 2021 | Mirror3D: Depth Refinement for Mirror Surfaces. Jiaqi Tan, Weijie Lin, Angel X. Chang, Manolis Savva |
| 2021 | Mitigating Face Recognition Bias via Group Adaptive Classifier. Sixue Gong, Xiaoming Liu, Anil K. Jain |
| 2021 | Mixed-Privacy Forgetting in Deep Networks. Aditya Golatkar, Alessandro Achille, Avinash Ravichandran, Marzia Polito, Stefano Soatto |
| 2021 | MoViNets: Mobile Video Networks for Efficient Video Recognition. Dan Kondratyuk, Liangzhe Yuan, Yandong Li, Li Zhang, Mingxing Tan, Matthew Brown, Boqing Gong |
| 2021 | MobileDets: Searching for Object Detection Architectures for Mobile Accelerators. Yunyang Xiong, Hanxiao Liu, Suyog Gupta, Berkin Akin, Gabriel Bender, Yongzhe Wang, Pieter-Jan Kindermans, Mingxing Tan, Vikas Singh, Bo Chen |
| 2021 | Model-Aware Gesture-to-Gesture Translation. Hezhen Hu, Weilun Wang, Wengang Zhou, Weichao Zhao, Houqiang Li |
| 2021 | Model-Based 3D Hand Reconstruction via Self-Supervised Learning. Yujin Chen, Zhigang Tu, Di Kang, Linchao Bao, Ying Zhang, Xuefei Zhe, Ruizhi Chen, Junsong Yuan |
| 2021 | Model-Contrastive Federated Learning. Qinbin Li, Bingsheng He, Dawn Song |
| 2021 | Modeling Multi-Label Action Dependencies for Temporal Action Localization. Praveen Tirupattur, Kevin Duarte, Yogesh S. Rawat, Mubarak Shah |
| 2021 | Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion. Ho Kei Cheng, Yu-Wing Tai, Chi-Keung Tang |
| 2021 | Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis. Karren D. Yang, Samuel Goldman, Wengong Jin, Alex X. Lu, Regina Barzilay, Tommi S. Jaakkola, Caroline Uhler |
| 2021 | MongeNet: Efficient Sampler for Geometric Deep Learning. Léo Lebrat, Rodrigo Santa Cruz, Clinton Fookes, Olivier Salvado |
| 2021 | MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation. Hansheng Chen, Yuyao Huang, Wei Tian, Zhong Gao, Lu Xiong |
| 2021 | MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera. Felix Wimbauer, Nan Yang, Lukas von Stumberg, Niclas Zeller, Daniel Cremers |
| 2021 | Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks. Yu Cheng, Bo Wang, Bo Yang, Robby T. Tan |
| 2021 | Monocular 3D Object Detection: An Extrinsic Parameter Free Approach. Yunsong Zhou, Yuan He, Hongzi Zhu, Cheng Wang, Hongyang Li, Qinhong Jiang |
| 2021 | Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model. Julian Lienen, Eyke Hüllermeier, Ralph Ewerth, Nils Nommensen |
| 2021 | Monocular Real-Time Full Body Capture With Inter-Part Correlations. Yuxiao Zhou, Marc Habermann, Ikhsanul Habibie, Ayush Tewari, Christian Theobalt, Feng Xu |
| 2021 | Monocular Reconstruction of Neural Face Reflectance Fields. Mallikarjun B. R., Ayush Tewari, Tae-Hyun Oh, Tim Weyrich, Bernd Bickel, Hans-Peter Seidel, Hanspeter Pfister, Wojciech Matusik, Mohamed A. Elgharib, Christian Theobalt |
| 2021 | Monte Carlo Scene Search for 3D Scene Understanding. Shreyas Hampali, Sinisa Stekovic, Sayan Deb Sarkar, Chetan Srinivasa Kumar, Friedrich Fraundorfer, Vincent Lepetit |
| 2021 | More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval. Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Aneeshan Sain, Yongxin Yang, Tao Xiang, Yi-Zhe Song |
| 2021 | Motion Representations for Articulated Animation. Aliaksandr Siarohin, Oliver J. Woodford, Jian Ren, Menglei Chai, Sergey Tulyakov |
| 2021 | MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions. Haixu Wu, Zhiyu Yao, Jianmin Wang, Mingsheng Long |
| 2021 | Multi-Attentional Deepfake Detection. Hanqing Zhao, Wenbo Zhou, Dongdong Chen, Tianyi Wei, Weiming Zhang, Nenghai Yu |
| 2021 | Multi-Decoding Deraining Network and Quasi-Sparsity Based Training. Yinglong Wang, Chao Ma, Bing Zeng |
| 2021 | Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning. Pengfei Guo, Puyang Wang, Jinyuan Zhou, Shanshan Jiang, Vishal M. Patel |
| 2021 | Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations. Yanyi Zhang, Xinyu Li, Ivan Marsic |
| 2021 | Multi-Label Learning From Single Positive Labels. Elijah Cole, Oisin Mac Aodha, Titouan Lorieul, Pietro Perona, Dan Morris, Nebojsa Jojic |
| 2021 | Multi-Modal Fusion Transformer for End-to-End Autonomous Driving. Aditya Prakash, Kashyap Chitta, Andreas Geiger |
| 2021 | Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval. Yawen Zeng, Da Cao, Xiaochi Wei, Meng Liu, Zhou Zhao, Zheng Qin |
| 2021 | Multi-Objective Interpolation Training for Robustness To Label Noise. Diego Ortego, Eric Arazo, Paul Albert, Noel E. O'Connor, Kevin McGuinness |
| 2021 | Multi-Person Implicit Reconstruction From a Single Image. Armin Mustafa, Akin Caliskan, Lourdes Agapito, Adrian Hilton |
| 2021 | Multi-Perspective LSTM for Joint Visual Representation Learning. Alireza Sepas-Moghaddam, Fernando Pereira, Paulo Lobato Correia, Ali Etemad |
| 2021 | Multi-Scale Aligned Distillation for Low-Resolution Detection. Lu Qi, Jason Kuen, Jiuxiang Gu, Zhe Lin, Yi Wang, Yukang Chen, Yanwei Li, Jiaya Jia |
| 2021 | Multi-Shot Temporal Event Localization: A Benchmark. Xiaolong Liu, Yao Hu, Song Bai, Fei Ding, Xiang Bai, Philip H. S. Torr |
| 2021 | Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation. Jianzhong He, Xu Jia, Shuaijun Chen, Jianzhuang Liu |
| 2021 | Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos. Mingxing Zhang, Yang Yang, Xinghan Chen, Yanli Ji, Xing Xu, Jingjing Li, Heng Tao Shen |
| 2021 | Multi-Stage Progressive Image Restoration. Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Munawar Hayat, Fahad Shahbaz Khan, Ming-Hsuan Yang, Ling Shao |
| 2021 | Multi-Target Domain Adaptation With Collaborative Consistency Learning. Takashi Isobe, Xu Jia, Shuaijun Chen, Jianzhong He, Yongjie Shi, Jianzhuang Liu, Huchuan Lu, Shengjin Wang |
| 2021 | Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance. Ziang Cheng, Hongdong Li, Yuta Asano, Yinqiang Zheng, Imari Sato |
| 2021 | Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo. Jiahao Lin, Gim Hee Lee |
| 2021 | Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks. Xiaoxiao Long, Lingjie Liu, Wei Li, Christian Theobalt, Wenping Wang |
| 2021 | MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization. Jiahui Huang, He Wang, Tolga Birdal, Minhyuk Sung, Federica Arrigoni, Shi-Min Hu, Leonidas J. Guibas |
| 2021 | MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection. Luca Magri, Filippo Leveni, Giacomo Boracchi |
| 2021 | Multimodal Contrastive Training for Visual Representation Learning. Xin Yuan, Zhe Lin, Jason Kuen, Jianming Zhang, Yilin Wang, Michael Maire, Ajinkya Kale, Baldo Faieta |
| 2021 | Multimodal Motion Prediction With Stacked Transformers. Yicheng Liu, Jinghuai Zhang, Liangji Fang, Qinhong Jiang, Bolei Zhou |
| 2021 | Multiple Instance Active Learning for Object Detection. Tianning Yuan, Fang Wan, Mengying Fu, Jianzhuang Liu, Songcen Xu, Xiangyang Ji, Qixiang Ye |
| 2021 | Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles. Jevgenij Gamper, Nasir M. Rajpoot |
| 2021 | Multiple Object Tracking With Correlation Learning. Qiang Wang, Yun Zheng, Pan Pan, Yinghui Xu |
| 2021 | Multiresolution Knowledge Distillation for Anomaly Detection. Mohammadreza Salehi, Niousha Sadjadi, Soroosh Baselizadeh, Mohammad H. Rohban, Hamid R. Rabiee |
| 2021 | Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances: A Well Posed Problem? Heng Guo, Fumio Okura, Boxin Shi, Takuya Funatomi, Yasuhiro Mukaigawa, Yasuyuki Matsushita |
| 2021 | Mutual CRF-GNN for Few-Shot Learning. Shixiang Tang, Dapeng Chen, Lei Bai, Kaijian Liu, Yixiao Ge, Wanli Ouyang |
| 2021 | Mutual Graph Learning for Camouflaged Object Detection. Qiang Zhai, Xin Li, Fan Yang, Chenglizhao Chen, Hong Cheng, Deng-Ping Fan |
| 2021 | NBNet: Noise Basis Learning for Image Denoising With Subspace Projection. Shen Cheng, Yuzhi Wang, Haibin Huang, Donghao Liu, Haoqiang Fan, Shuaicheng Liu |
| 2021 | NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions. Junbin Xiao, Xindi Shang, Angela Yao, Tat-Seng Chua |
| 2021 | NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration. Zhengang Li, Geng Yuan, Wei Niu, Pu Zhao, Yanyu Li, Yuxuan Cai, Xuan Shen, Zheng Zhan, Zhenglun Kong, Qing Jin, Zhiyu Chen, Sijia Liu, Kaiyuan Yang, Bin Ren, Yanzhi Wang, Xue Lin |
| 2021 | Natural Adversarial Examples. Dan Hendrycks, Kevin Zhao, Steven Basart, Jacob Steinhardt, Dawn Song |
| 2021 | Navigating the GAN Parameter Space for Semantic Image Editing. Anton Cherepkov, Andrey Voynov, Artem Babenko |
| 2021 | NeRD: Neural 3D Reflection Symmetry Detector. Yichao Zhou, Shichen Liu, Yi Ma |
| 2021 | NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections. Ricardo Martin-Brualla, Noha Radwan, Mehdi S. M. Sajjadi, Jonathan T. Barron, Alexey Dosovitskiy, Daniel Duckworth |
| 2021 | NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis. Pratul P. Srinivasan, Boyang Deng, Xiuming Zhang, Matthew Tancik, Ben Mildenhall, Jonathan T. Barron |
| 2021 | NeX: Real-Time View Synthesis With Neural Basis Expansion. Suttisak Wizadwongsa, Pakkapon Phongthawee, Jiraphon Yenphraphai, Supasorn Suwajanakorn |
| 2021 | Nearest Neighbor Matching for Deep Clustering. Zhiyuan Dang, Cheng Deng, Xu Yang, Kun Wei, Heng Huang |
| 2021 | Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images. Tao Huang, Songjiang Li, Xu Jia, Huchuan Lu, Jianzhuang Liu |
| 2021 | Neighborhood Contrastive Learning for Novel Class Discovery. Zhun Zhong, Enrico Fini, Subhankar Roy, Zhiming Luo, Elisa Ricci, Nicu Sebe |
| 2021 | Neighborhood Normalization for Robust Geometric Feature Learning. Xingtong Liu, Benjamin D. Killeen, Ayushi Sinha, Masaru Ishii, Gregory D. Hager, Russell H. Taylor, Mathias Unberath |
| 2021 | NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization. Tien-Ju Yang, Yi-Lun Liao, Vivienne Sze |
| 2021 | Network Pruning via Performance Maximization. Shangqian Gao, Feihu Huang, Weidong Cai, Heng Huang |
| 2021 | Network Quantization With Element-Wise Gradient Scaling. Junghyup Lee, Dohyung Kim, Bumsub Ham |
| 2021 | NeuTex: Neural Texture Mapping for Volumetric Neural Rendering. Fanbo Xiang, Zexiang Xu, Milos Hasan, Yannick Hold-Geoffroy, Kalyan Sunkavalli, Hao Su |
| 2021 | Neural Architecture Search With Random Labels. Xuanyang Zhang, Pengfei Hou, Xiangyu Zhang, Jian Sun |
| 2021 | Neural Auto-Exposure for High-Dynamic Range Object Detection. Emmanuel Onzon, Fahim Mannan, Felix Heide |
| 2021 | Neural Body: Implicit Neural Representations With Structured Latent Codes for Novel View Synthesis of Dynamic Humans. Sida Peng, Yuanqing Zhang, Yinghao Xu, Qianqian Wang, Qing Shuai, Hujun Bao, Xiaowei Zhou |
| 2021 | Neural Camera Simulators. Hao Ouyang, Zifan Shi, Chenyang Lei, Ka Lung Law, Qifeng Chen |
| 2021 | Neural Cellular Automata Manifold. Alejandro Hernandez Ruiz, Armand Vilalta, Francesc Moreno-Noguer |
| 2021 | Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction. Aljaz Bozic, Pablo R. Palafox, Michael Zollhöfer, Justus Thies, Angela Dai, Matthias Nießner |
| 2021 | Neural Descent for Visual 3D Human Pose and Shape. Andrei Zanfir, Eduard Gabriel Bazavan, Mihai Zanfir, William T. Freeman, Rahul Sukthankar, Cristian Sminchisescu |
| 2021 | Neural Feature Search for RGB-Infrared Person Re-Identification. Yehansen Chen, Lin Wan, Zhihang Li, Qianyan Jing, Zongyuan Sun |
| 2021 | Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes. Towaki Takikawa, Joey Litalien, Kangxue Yin, Karsten Kreis, Charles T. Loop, Derek Nowrouzezahrai, Alec Jacobson, Morgan McGuire, Sanja Fidler |
| 2021 | Neural Lumigraph Rendering. Petr Kellnhofer, Lars Jebe, Andrew Jones, Ryan Spicer, Kari Pulli, Gordon Wetzstein |
| 2021 | Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks. Despoina Paschalidou, Angelos Katharopoulos, Andreas Geiger, Sanja Fidler |
| 2021 | Neural Prototype Trees for Interpretable Fine-Grained Image Recognition. Meike Nauta, Ron van Bree, Christin Seifert |
| 2021 | Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation. Hugo Germain, Vincent Lepetit, Guillaume Bourmaud |
| 2021 | Neural Response Interpretation Through the Lens of Critical Pathways. Ashkan Khakzar, Soroosh Baselizadeh, Saurabh Khanduja, Christian Rupprecht, Seong Tae Kim, Nassir Navab |
| 2021 | Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes. Zhengqi Li, Simon Niklaus, Noah Snavely, Oliver Wang |
| 2021 | Neural Scene Graphs for Dynamic Scenes. Julian Ost, Fahim Mannan, Nils Thuerey, Julian Knodt, Felix Heide |
| 2021 | Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation. Valentin Khrulkov, Artem Babenko |
| 2021 | Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks. Francis Williams, Matthew Trager, Joan Bruna, Denis Zorin |
| 2021 | Neural Surface Maps. Luca Morreale, Noam Aigerman, Vladimir G. Kim, Niloy J. Mitra |
| 2021 | NeuralFusion: Online Depth Fusion in Latent Space. Silvan Weder, Johannes L. Schönberger, Marc Pollefeys, Martin R. Oswald |
| 2021 | NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering Using RGB Cameras. Xin Suo, Yuheng Jiang, Pei Lin, Yingliang Zhang, Minye Wu, Kaiwen Guo, Lan Xu |
| 2021 | NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video. Jiaming Sun, Yiming Xie, Linghao Chen, Xiaowei Zhou, Hujun Bao |
| 2021 | NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go. Marvin Eisenberger, David Novotný, Gael Kerchenbaum, Patrick Labatut, Natalia Neverova, Daniel Cremers, Andrea Vedaldi |
| 2021 | NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces. Miguel Jaques, Michael Burke, Timothy M. Hospedales |
| 2021 | Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects. Aashish Sharma, Robby T. Tan |
| 2021 | No Frame Left Behind: Full Video Action Recognition. Xin Liu, Silvia L. Pintea, Fatemeh Karimi Nejadasl, Olaf Booij, Jan C. van Gemert |
| 2021 | No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry. Edward Zhang, Ricardo Martin-Brualla, Janne Kontkanen, Brian L. Curless |
| 2021 | Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection. Chang Liu, Han Yu, Boyang Li, Zhiqi Shen, Zhanning Gao, Peiran Ren, Xuansong Xie, Lizhen Cui, Chunyan Miao |
| 2021 | Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation. Yazhou Yao, Tao Chen, Guo-Sen Xie, Chuanyi Zhang, Fumin Shen, Qi Wu, Zhenmin Tang, Jian Zhang |
| 2021 | Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance. Xu Cao, Boxin Shi, Fumio Okura, Yasuyuki Matsushita |
| 2021 | NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning. Hyunho Ha, Joo Ho Lee, Andreas Meuleman, Min H. Kim |
| 2021 | Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement. Huiwen Luo, Koki Nagano, Han-Wei Kung, Qingguo Xu, Zejian Wang, Lingyu Wei, Liwen Hu, Hao Li |
| 2021 | Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction. DaeJin Kim, Mohammad Azam Khan, Jaegul Choo |
| 2021 | Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food. Quin Thames, Arjun Karpur, Wade Norris, Fangting Xia, Liviu Panait, Tobias Weyand, Jack Sim |
| 2021 | OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning. Spyros Gidaris, Andrei Bursuc, Gilles Puy, Nikos Komodakis, Matthieu Cord, Patrick Pérez |
| 2021 | OCONet: Image Extrapolation by Object Completion. Richard Strong Bowen, Huiwen Chang, Charles Herrmann, Piotr Teterwak, Ce Liu, Ramin Zabih |
| 2021 | OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection. Tingting Liang, Yongtao Wang, Zhi Tang, Guosheng Hu, Haibin Ling |
| 2021 | ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning. Liyuan Wang, Kuo Yang, Chongxuan Li, Lanqing Hong, Zhenguo Li, Jun Zhu |
| 2021 | OSTeC: One-Shot Texture Completion. Baris Gecer, Jiankang Deng, Stefanos Zafeiriou |
| 2021 | OTA: Optimal Transport Assignment for Object Detection. Zheng Ge, Songtao Liu, Zeming Li, Osamu Yoshie, Jian Sun |
| 2021 | OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations. Yang Tan, Yang Li, Shao-Lun Huang |
| 2021 | Object Classification From Randomized EEG Trials. Hamad Ahmed, Ronnie B. Wilbur, Hari M. Bharadwaj, Jeffrey Mark Siskind |
| 2021 | Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild With Pose Annotations. Adel Ahmadyan, Liangkai Zhang, Artsiom Ablavatski, Jianing Wei, Matthias Grundmann |
| 2021 | Objects Are Different: Flexible Monocular 3D Object Detection. Yunpeng Zhang, Jiwen Lu, Jie Zhou |
| 2021 | Offboard 3D Object Detection From Point Cloud Sequences. Charles R. Qi, Yin Zhou, Mahyar Najibi, Pei Sun, Khoa Vo, Boyang Deng, Dragomir Anguelov |
| 2021 | Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning. Jingyu Gong, Jiachen Xu, Xin Tan, Haichuan Song, Yanyun Qu, Yuan Xie, Lizhuang Ma |
| 2021 | Omnimatte: Associating Objects and Their Effects in Video. Erika Lu, Forrester Cole, Tali Dekel, Andrew Zisserman, William T. Freeman, Michael Rubinstein |
| 2021 | On Feature Normalization and Data Augmentation. Boyi Li, Felix Wu, Ser-Nam Lim, Serge J. Belongie, Kilian Q. Weinberger |
| 2021 | On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective. Nontawat Charoenphakdee, Jayakorn Vongkulbhisal, Nuttapong Chairatanakul, Masashi Sugiyama |
| 2021 | On Learning the Geodesic Path for Incremental Learning. Christian Simon, Piotr Koniusz, Mehrtash Harandi |
| 2021 | On Robustness and Transferability of Convolutional Neural Networks. Josip Djolonga, Jessica Yung, Michael Tschannen, Rob Romijnders, Lucas Beyer, Alexander Kolesnikov, Joan Puigcerver, Matthias Minderer, Alexander D'Amour, Dan Moldovan, Sylvain Gelly, Neil Houlsby, Xiaohua Zhai, Mario Lucic |
| 2021 | On Self-Contact and Human Pose. Lea Müller, Ahmed A. A. Osman, Siyu Tang, Chun-Hao P. Huang, Michael J. Black |
| 2021 | On Semantic Similarity in Video Retrieval. Michael Wray, Hazel Doughty, Dima Damen |
| 2021 | On the Difficulty of Membership Inference Attacks. Shahbaz Rezaei, Xin Liu |
| 2021 | One Shot Face Swapping on Megapixels. Yuhao Zhu, Qi Li, Jian Wang, Cheng-Zhong Xu, Zhenan Sun |
| 2021 | One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation. Zhengzhe Liu, Xiaojuan Qi, Chi-Wing Fu |
| 2021 | One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing. Ting-Chun Wang, Arun Mallya, Ming-Yu Liu |
| 2021 | One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking. Minghao Chen, Jianlong Fu, Haibin Ling |
| 2021 | Online Learning of a Probabilistic and Adaptive Scene Representation. Zike Yan, Xin Wang, Hongbin Zha |
| 2021 | Online Multiple Object Tracking With Cross-Task Synergy. Song Guo, Jingya Wang, Xinchao Wang, Dacheng Tao |
| 2021 | Open Domain Generalization with Domain-Augmented Meta-Learning. Yang Shu, Zhangjie Cao, Chenyu Wang, Jianmin Wang, Mingsheng Long |
| 2021 | Open World Compositional Zero-Shot Learning. Massimiliano Mancini, Muhammad Ferjad Naeem, Yongqin Xian, Zeynep Akata |
| 2021 | Open-Book Video Captioning With Retrieve-Copy-Generate Network. Ziqi Zhang, Zhongang Qi, Chunfeng Yuan, Ying Shan, Bing Li, Ying Deng, Weiming Hu |
| 2021 | Open-Vocabulary Object Detection Using Captions. Alireza Zareian, Kevin Dela Rosa, Derek Hao Hu, Shih-Fu Chang |
| 2021 | OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World. Zhun Zhong, Linchao Zhu, Zhiming Luo, Shaozi Li, Yi Yang, Nicu Sebe |
| 2021 | OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets. Zhengqin Li, Ting-Wei Yu, Shen Sang, Sarah Wang, Meng Song, Yuhan Liu, Yu-Ying Yeh, Rui Zhu, Nitesh B. Gundavarapu, Jia Shi, Sai Bi, Hong-Xing Yu, Zexiang Xu, Kalyan Sunkavalli, Milos Hasan, Ravi Ramamoorthi, Manmohan Chandraker |
| 2021 | Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs. Jianwei Feng, Dong Huang |
| 2021 | Optimal Quantization Using Scaled Codebook. Yerlan Idelbayev, Pavlo Molchanov, Maying Shen, Hongxu Yin, Miguel Á. Carreira-Perpiñán, José M. Álvarez |
| 2021 | Orthogonal Over-Parameterized Training. Weiyang Liu, Rongmei Lin, Zhen Liu, James M. Rehg, Liam Paull, Li Xiong, Le Song, Adrian Weller |
| 2021 | Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces. Alireza Zaeemzadeh, Niccolò Bisagno, Zeno Sambugaro, Nicola Conci, Nazanin Rahnavard, Mubarak Shah |
| 2021 | Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks. Roi Pony, Itay Naeh, Shie Mannor |
| 2021 | PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds. Mutian Xu, Runyu Ding, Hengshuang Zhao, Xiaojuan Qi |
| 2021 | PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation. Tal Reiss, Niv Cohen, Liron Bergman, Yedid Hoshen |
| 2021 | PAUL: Procrustean Autoencoder for Unsupervised Lifting. Chaoyang Wang, Simon Lucey |
| 2021 | PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers. Frank Yu, Mathieu Salzmann, Pascal Fua, Helge Rhodin |
| 2021 | PD-GAN: Probabilistic Diverse GAN for Image Inpainting. Hongyu Liu, Ziyu Wan, Wei Huang, Yibing Song, Xintong Han, Jing Liao |
| 2021 | PGT: A Progressive Method for Training Models on Long Videos. Bo Pang, Gao Peng, Yizhuo Li, Cewu Lu |
| 2021 | PISE: Person Image Synthesis and Editing With Decoupled GAN. Jinsong Zhang, Kun Li, Yu-Kun Lai, Jingyu Yang |
| 2021 | PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss. Juan Luis Gonzalez, Munchurl Kim |
| 2021 | PLOP: Learning Without Forgetting for Continual Semantic Segmentation. Arthur Douillard, Yifu Chen, Arnaud Dapogny, Matthieu Cord |
| 2021 | PML: Progressive Margin Loss for Long-Tailed Age Classification. Zongyong Deng, Hao Liu, Yaoxing Wang, Chenyang Wang, Zekuan Yu, Xuehong Sun |
| 2021 | PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths. Xin Wen, Peng Xiang, Zhizhong Han, Yan-Pei Cao, Pengfei Wan, Wen Zheng, Yu-Shen Liu |
| 2021 | POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture. Zhe Li, Tao Yu, Zerong Zheng, Kaiwen Guo, Yebin Liu |
| 2021 | PPR10K: A Large-Scale Portrait Photo Retouching Dataset With Human-Region Mask and Group-Level Consistency. Jie Liang, Hui Zeng, Miaomiao Cui, Xuansong Xie, Lei Zhang |
| 2021 | PQA: Perceptual Question Answering. Yonggang Qi, Kai Zhang, Aneeshan Sain, Yi-Zhe Song |
| 2021 | PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors. Zeyuan Chen, Yangchao Wang, Yang Yang, Dong Liu |
| 2021 | PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery. Tianyi Zhang, Jie Lin, Peng Hu, Bin Zhao, Mohamed M. Sabry Aly |
| 2021 | PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks. Guocheng Qian, Abdulellah Abualshour, Guohao Li, Ali K. Thabet, Bernard Ghanem |
| 2021 | PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds. Yi Wei, Ziyi Wang, Yongming Rao, Jiwen Lu, Jie Zhou |
| 2021 | PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features. Zhenwei Miao, Jikai Chen, Hongyu Pan, Ruiwen Zhang, Kaixuan Liu, Peihan Hao, Jun Zhu, Yang Wang, Xin Zhan |
| 2021 | PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization. Guangming Wang, Xinrui Wu, Zhe Liu, Hesheng Wang |
| 2021 | Panoptic Segmentation Forecasting. Colin Graber, Grace Tsai, Michael Firman, Gabriel J. Brostow, Alexander G. Schwing |
| 2021 | Panoptic-PolarNet: Proposal-Free LiDAR Point Cloud Panoptic Segmentation. Zixiang Zhou, Yang Zhang, Hassan Foroosh |
| 2021 | Panoramic Image Reflection Removal. Yuchen Hong, Qian Zheng, Lingran Zhao, Xudong Jiang, Alex C. Kot, Boxin Shi |
| 2021 | Pareidolia Face Reenactment. Linsen Song, Wayne Wu, Chaoyou Fu, Chen Qian, Chen Change Loy, Ran He |
| 2021 | Pareto Self-Supervised Training for Few-Shot Learning. Zhengyu Chen, Jixie Ge, Heshen Zhan, Siteng Huang, Donglin Wang |
| 2021 | Parser-Free Virtual Try-On via Distilling Appearance Flows. Yuying Ge, Yibing Song, Ruimao Zhang, Chongjian Ge, Wei Liu, Ping Luo |
| 2021 | Part-Aware Panoptic Segmentation. Daan de Geus, Panagiotis Meletis, Chenyang Lu, Xiaoxiao Wen, Gijs Dubbelman |
| 2021 | Partial Feature Selection and Alignment for Multi-Source Domain Adaptation. Yangye Fu, Ming Zhang, Xing Xu, Zuo Cao, Chao Ma, Yanli Ji, Kai Zuo, Huimin Lu |
| 2021 | Partial Person Re-Identification With Part-Part Correspondence Learning. Tianyu He, Xu Shen, Jianqiang Huang, Zhibo Chen, Xian-Sheng Hua |
| 2021 | Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss. Mouxing Yang, Yunfan Li, Zhenyu Huang, Zitao Liu, Peng Hu, Xi Peng |
| 2021 | Partition-Guided GANs. Mohammadreza Armandpour, Ali Sadeghian, Chunyuan Li, Mingyuan Zhou |
| 2021 | Passive Inter-Photon Imaging. Atul Ingle, Trevor Seets, Mauro Buttafava, Shantanu Gupta, Alberto Tosi, Mohit Gupta, Andreas Velten |
| 2021 | Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition. Stephen Hausler, Sourav Garg, Ming Xu, Michael Milford, Tobias Fischer |
| 2021 | Patch-VQ: 'Patching Up' the Video Quality Problem. Zhenqiang Ying, Maniratnam Mandal, Deepti Ghadiyaram, Alan C. Bovik |
| 2021 | Patch2Pix: Epipolar-Guided Pixel-Level Correspondences. Qunjie Zhou, Torsten Sattler, Laura Leal-Taixé |
| 2021 | PatchMatch-Based Neighborhood Consensus for Semantic Correspondence. Jae Yong Lee, Joseph DeGol, Victor Fragoso, Sudipta N. Sinha |
| 2021 | PatchmatchNet: Learned Multi-View Patchmatch Stereo. Fangjinhua Wang, Silvano Galliani, Christoph Vogel, Pablo Speciale, Marc Pollefeys |
| 2021 | Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning. Zilong Zheng, Jianwen Xie, Ping Li |
| 2021 | Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera. Lukás Neumann, Andrea Vedaldi |
| 2021 | Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing. Yuanyuan Yuan, Shuai Wang, Mingyue Jiang, Tsong Yueh Chen |
| 2021 | Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics. Jia-Wei Chen, Li-Ju Chen, Chia-Mu Yu, Chun-Shien Lu |
| 2021 | Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks. Julieta Martinez, Jashan Shewakramani, Ting-Wei Liu, Ioan Andrei Barsan, Wenyuan Zeng, Raquel Urtasun |
| 2021 | Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification. Oren Nuriel, Sagie Benaim, Lior Wolf |
| 2021 | Person Re-Identification Using Heterogeneous Local Graph Attention Networks. Zhong Zhang, Haijia Zhang, Shuang Liu |
| 2021 | Person30K: A Dual-Meta Generalization Network for Person Re-Identification. Yan Bai, Jile Jiao, Ce Wang, Jun Liu, Yihang Lou, Xuetao Feng, Ling-Yu Duan |
| 2021 | Personalized Outfit Recommendation With Learnable Anchors. Zhi Lu, Yang Hu, Yan Chen, Bing Zeng |
| 2021 | PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification. Jianan Zhao, Fengliang Qi, Guangyu Ren, Lin Xu |
| 2021 | PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting. Kai Zhang, Fujun Luan, Qianqian Wang, Kavita Bala, Noah Snavely |
| 2021 | Physically-Aware Generative Network for 3D Shape Modeling. Mariem Mezghanni, Malika Boulkenafed, André Lieutier, Maks Ovsjanikov |
| 2021 | Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging. Feilong Zhang, Xianming Liu, Cheng Guo, Shiyi Lin, Junjun Jiang, Xiangyang Ji |
| 2021 | Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis. Eric R. Chan, Marco Monteiro, Petr Kellnhofer, Jiajun Wu, Gordon Wetzstein |
| 2021 | PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering. Jang Hyun Cho, Utkarsh Mall, Kavita Bala, Bharath Hariharan |
| 2021 | Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes. Huan Lei, Naveed Akhtar, Ajmal Mian |
| 2021 | PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training. Luke Melas-Kyriazi, Arjun K. Manrai |
| 2021 | Pixel Codec Avatars. Shugao Ma, Tomas Simon, Jason M. Saragih, Dawei Wang, Yuecheng Li, Fernando De la Torre, Yaser Sheikh |
| 2021 | Pixel-Aligned Volumetric Avatars. Amit Raj, Michael Zollhöfer, Tomas Simon, Jason M. Saragih, Shunsuke Saito, James Hays, Stephen Lombardi |
| 2021 | Pixel-Wise Anomaly Detection in Complex Driving Scenes. Giancarlo Di Biase, Hermann Blum, Roland Siegwart, César Cadena |
| 2021 | Plan2Scene: Converting Floorplans to 3D Scenes. Madhawa Vidanapathirana, Qirui Wu, Yasutaka Furukawa, Angel X. Chang, Manolis Savva |
| 2021 | Playable Video Generation. Willi Menapace, Stéphane Lathuilière, Sergey Tulyakov, Aliaksandr Siarohin, Elisa Ricci |
| 2021 | PluckerNet: Learn To Register 3D Line Reconstructions. Liu Liu, Hongdong Li, Haodong Yao, Ruyi Zha |
| 2021 | Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos. Hehe Fan, Yi Yang, Mohan S. Kankanhalli |
| 2021 | Point Cloud Instance Segmentation Using Probabilistic Embeddings. Biao Zhang, Peter Wonka |
| 2021 | Point Cloud Upsampling via Disentangled Refinement. Ruihui Li, Xianzhi Li, Pheng-Ann Heng, Chi-Wing Fu |
| 2021 | Point2Skeleton: Learning Skeletal Representations from Point Clouds. Cheng Lin, Changjian Li, Yuan Liu, Nenglun Chen, Yi-King Choi, Wenping Wang |
| 2021 | PointAugmenting: Cross-Modal Augmentation for 3D Object Detection. Chunwei Wang, Chao Ma, Ming Zhu, Xiaokang Yang |
| 2021 | PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency. Xuyang Bai, Zixin Luo, Lei Zhou, Hongkai Chen, Lei Li, Zeyu Hu, Hongbo Fu, Chiew-Lan Tai |
| 2021 | PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation. Xiangtai Li, Hao He, Xia Li, Duo Li, Guangliang Cheng, Jianping Shi, Lubin Weng, Yunhai Tong, Zhouchen Lin |
| 2021 | PointGuard: Provably Robust 3D Point Cloud Classification. Hongbin Liu, Jinyuan Jia, Neil Zhenqiang Gong |
| 2021 | PointNetLK Revisited. Xueqian Li, Jhony Kaesemodel Pontes, Simon Lucey |
| 2021 | Points As Queries: Weakly Semi-Supervised Object Detection by Points. Liangyu Chen, Tong Yang, Xiangyu Zhang, Wei Zhang, Jian Sun |
| 2021 | Polarimetric Normal Stereo. Yoshiki Fukao, Ryo Kawahara, Shohei Nobuhara, Ko Nishino |
| 2021 | Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo. Seung-Hwan Baek, Felix Heide |
| 2021 | Polygonal Building Extraction by Frame Field Learning. Nicolas Girard, Dmitriy Smirnov, Justin Solomon, Yuliya Tarabalka |
| 2021 | Polygonal Point Set Tracking. Gunhee Nam, Miran Heo, Seoung Wug Oh, Joon-Young Lee, Seon Joo Kim |
| 2021 | Populating 3D Scenes by Learning Human-Scene Interaction. Mohamed Hassan, Partha Ghosh, Joachim Tesch, Dimitrios Tzionas, Michael J. Black |
| 2021 | Pose Recognition With Cascade Transformers. Ke Li, Shijie Wang, Xiang Zhang, Yifan Xu, Weijian Xu, Zhuowen Tu |
| 2021 | Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation. Hang Zhou, Yasheng Sun, Wayne Wu, Chen Change Loy, Xiaogang Wang, Ziwei Liu |
| 2021 | Pose-Guided Human Animation From a Single Image in the Wild. Jae Shin Yoon, Lingjie Liu, Vladislav Golyanik, Kripasindhu Sarkar, Hyun Soo Park, Christian Theobalt |
| 2021 | PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation. Kehong Gong, Jianfeng Zhang, Jiashi Feng |
| 2021 | Positional Encoding As Spatial Inductive Bias in GANs. Rui Xu, Xintao Wang, Kai Chen, Bolei Zhou, Chen Change Loy |
| 2021 | Positive Sample Propagation Along the Audio-Visual Event Line. Jinxing Zhou, Liang Zheng, Yiran Zhong, Shijie Hao, Meng Wang |
| 2021 | Positive-Congruent Training: Towards Regression-Free Model Updates. Sijie Yan, Yuanjun Xiong, Kaustav Kundu, Shuo Yang, Siqi Deng, Meng Wang, Wei Xia, Stefano Soatto |
| 2021 | Positive-Unlabeled Data Purification in the Wild for Object Detection. Jianyuan Guo, Kai Han, Han Wu, Chao Zhang, Xinghao Chen, Chunjing Xu, Chang Xu, Yunhe Wang |
| 2021 | Post-Hoc Uncertainty Calibration for Domain Drift Scenarios. Christian Tomani, Sebastian Gruber, Muhammed Ebrar Erdem, Daniel Cremers, Florian Buettner |
| 2021 | Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis. Xianchao Zhang, Ziyang Cheng, Xiaotong Zhang, Han Liu |
| 2021 | Practical Single-Image Super-Resolution Using Look-Up Table. Younghyun Jo, Seon Joo Kim |
| 2021 | Practical Wide-Angle Portraits Correction With Deep Structured Models. Jing Tan, Shan Zhao, Pengfei Xiong, Jiangyu Liu, Haoqiang Fan, Shuaicheng Liu |
| 2021 | Pre-Trained Image Processing Transformer. Hanting Chen, Yunhe Wang, Tianyu Guo, Chang Xu, Yiping Deng, Zhenhua Liu, Siwei Ma, Chunjing Xu, Chao Xu, Wen Gao |
| 2021 | Predator: Registration of 3D Point Clouds With Low Overlap. Shengyu Huang, Zan Gojcic, Mikhail Usvyatsov, Andreas Wieser, Konrad Schindler |
| 2021 | Predicting Human Scanpaths in Visual Question Answering. Xianyu Chen, Ming Jiang, Qi Zhao |
| 2021 | Primitive Representation Learning for Scene Text Recognition. Ruijie Yan, Liangrui Peng, Shanyu Xiao, Gang Yao |
| 2021 | Prior Based Human Completion. Zibo Zhao, Wen Liu, Yanyu Xu, Xianing Chen, Weixin Luo, Lei Jin, Bohui Zhu, Tong Liu, Binqiang Zhao, Shenghua Gao |
| 2021 | Prioritized Architecture Sampling With Monto-Carlo Tree Search. Xiu Su, Tao Huang, Yanxi Li, Shan You, Fei Wang, Chen Qian, Changshui Zhang, Chang Xu |
| 2021 | Privacy Preserving Localization and Mapping From Uncalibrated Cameras. Marcel Geppert, Viktor Larsson, Pablo Speciale, Johannes L. Schönberger, Marc Pollefeys |
| 2021 | Privacy-Preserving Collaborative Learning With Automatic Transformation Search. Wei Gao, Shangwei Guo, Tianwei Zhang, Han Qiu, Yonggang Wen, Yang Liu |
| 2021 | Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings. Mihai Dusmanu, Johannes L. Schönberger, Sudipta N. Sinha, Marc Pollefeys |
| 2021 | ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks. Xinshao Wang, Yang Hua, Elyor Kodirov, David A. Clifton, Neil M. Robertson |
| 2021 | Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild. Akash Sengupta, Ignas Budvytis, Roberto Cipolla |
| 2021 | Probabilistic Embeddings for Cross-Modal Retrieval. Sanghyuk Chun, Seong Joon Oh, Rafael Sampaio de Rezende, Yannis Kalantidis, Diane Larlus |
| 2021 | Probabilistic Model Distillation for Semantic Correspondence. Xin Li, Deng-Ping Fan, Fan Yang, Ao Luo, Hong Cheng, Zicheng Liu |
| 2021 | Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation. Gengcong Yang, Jingyi Zhang, Yong Zhang, Baoyuan Wu, Yujiu Yang |
| 2021 | Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services. Jinyu Tian, Jiantao Zhou, Jia Duan |
| 2021 | Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking. Fatemeh Sadat Saleh, Sadegh Aliakbarian, Hamid Rezatofighi, Mathieu Salzmann, Stephen Gould |
| 2021 | Progressive Contour Regression for Arbitrary-Shape Scene Text Detection. Pengwen Dai, Sanyi Zhang, Hua Zhang, Xiaochun Cao |
| 2021 | Progressive Domain Expansion Network for Single Domain Generalization. Lei Li, Ke Gao, Juan Cao, Ziyao Huang, Yepeng Weng, Xiaoyue Mi, Zhengze Yu, Xiaoya Li, Boyang Xia |
| 2021 | Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences. Fengmao Lv, Xiang Chen, Yanyong Huang, Lixin Duan, Guosheng Lin |
| 2021 | Progressive Semantic Segmentation. Chuong Huynh, Anh Tuan Tran, Khoa Luu, Minh Hoai |
| 2021 | Progressive Semantic-Aware Style Transformation for Blind Face Restoration. Chaofeng Chen, Xiaoming Li, Lingbo Yang, Xianhui Lin, Lei Zhang, Kwan-Yee K. Wong |
| 2021 | Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement. Zefan Li, Chenxi Liu, Alan L. Yuille, Bingbing Ni, Wenjun Zhang, Wen Gao |
| 2021 | Progressive Temporal Feature Alignment Network for Video Inpainting. Xueyan Zou, Linjie Yang, Ding Liu, Yong Jae Lee |
| 2021 | Progressive Unsupervised Learning for Visual Object Tracking. Qiangqiang Wu, Jia Wan, Antoni B. Chan |
| 2021 | Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow. Shangrong Yang, Chunyu Lin, Kang Liao, Chunjie Zhang, Yao Zhao |
| 2021 | Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation. Weixiang Yang, Qi Li, Wenxi Liu, Yuanlong Yu, Yuexin Ma, Shengfeng He, Jia Pan |
| 2021 | Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning. Zhenda Xie, Yutong Lin, Zheng Zhang, Yue Cao, Stephen Lin, Han Hu |
| 2021 | Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks. Ding Sheng Ong, Chee Seng Chan, Kam Woh Ng, Lixin Fan, Qiang Yang |
| 2021 | Prototype Augmentation and Self-Supervision for Incremental Learning. Fei Zhu, Xu-Yao Zhang, Chuang Wang, Fei Yin, Cheng-Lin Liu |
| 2021 | Prototype Completion With Primitive Knowledge for Few-Shot Learning. Baoquan Zhang, Xutao Li, Yunming Ye, Zhichao Huang, Lisai Zhang |
| 2021 | Prototype-Guided Saliency Feature Learning for Person Search. Hanjae Kim, Sunghun Joung, Ig-Jae Kim, Kwanghoon Sohn |
| 2021 | Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing. Xunguang Wang, Zheng Zhang, Baoyuan Wu, Fumin Shen, Guangming Lu |
| 2021 | Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation. Xiangyu Yue, Zangwei Zheng, Shanghang Zhang, Yang Gao, Trevor Darrell, Kurt Keutzer, Alberto L. Sangiovanni-Vincentelli |
| 2021 | Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation. Pan Zhang, Bo Zhang, Ting Zhang, Dong Chen, Yong Wang, Fang Wen |
| 2021 | Pseudo 3D Auto-Correlation Network for Real Image Denoising. Xiaowan Hu, Ruijun Ma, Zhihong Liu, Yuanhao Cai, Xiaole Zhao, Yulun Zhang, Haoqian Wang |
| 2021 | Pseudo Facial Generation With Extreme Poses for Face Recognition. Guoli Wang, Jiaqi Ma, Qian Zhang, Jiwen Lu, Jie Zhou |
| 2021 | Pulsar: Efficient Sphere-Based Neural Rendering. Christoph Lassner, Michael Zollhöfer |
| 2021 | Pushing It Out of the Way: Interactive Visual Navigation. Kuo-Hao Zeng, Luca Weihs, Ali Farhadi, Roozbeh Mottaghi |
| 2021 | QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval. Xiaodan Li, Jinfeng Li, Yuefeng Chen, Shaokai Ye, Yuan He, Shuhui Wang, Hang Su, Hui Xue |
| 2021 | QPIC: Query-Based Pairwise Human-Object Interaction Detection With Image-Wide Contextual Information. Masato Tamura, Hiroki Ohashi, Tomoaki Yoshinaga |
| 2021 | QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks. Vladimir Kryzhanovskiy, Gleb Balitskiy, Nikolay Kozyrskiy, Aleksandr Zuruev |
| 2021 | Quality-Agnostic Image Recognition via Invertible Decoder. Insoo Kim, Seungju Han, Ji-Won Baek, Seong-Jin Park, Jae-Joon Han, Jinwoo Shin |
| 2021 | Quantifying Explainers of Graph Neural Networks in Computational Pathology. Guillaume Jaume, Pushpak Pati, Behzad Bozorgtabar, Antonio Foncubierta, Anna Maria Anniciello, Florinda Feroce, Tilman Rau, Jean-Philippe Thiran, Maria Gabrani, Orcun Goksel |
| 2021 | Quantum Permutation Synchronization. Tolga Birdal, Vladislav Golyanik, Christian Theobalt, Leonidas J. Guibas |
| 2021 | Quasi-Dense Similarity Learning for Multiple Object Tracking. Jiangmiao Pang, Linlu Qiu, Xia Li, Haofeng Chen, Qi Li, Trevor Darrell, Fisher Yu |
| 2021 | RAFT-3D: Scene Flow Using Rigid-Motion Embeddings. Zachary Teed, Jia Deng |
| 2021 | RGB-D Local Implicit Function for Depth Completion of Transparent Objects. Luyang Zhu, Arsalan Mousavian, Yu Xiang, Hammad Mazhar, Jozef van Eenbergen, Shoubhik Debnath, Dieter Fox |
| 2021 | RPN Prototype Alignment for Domain Adaptive Object Detector. Yixin Zhang, Zilei Wang, Yushi Mao |
| 2021 | RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation. Sk Aziz Ali, Kerem Kahraman, Gerd Reis, Didier Stricker |
| 2021 | RSG: A Simple but Effective Module for Learning Imbalanced Datasets. Jianfeng Wang, Thomas Lukasiewicz, Xiaolin Hu, Jianfei Cai, Zhenghua Xu |
| 2021 | RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection. Pei Sun, Weiyue Wang, Yuning Chai, Gamaleldin Elsayed, Alex Bewley, Xiao Zhang, Cristian Sminchisescu, Dragomir Anguelov |
| 2021 | RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words. Xuying Zhang, Xiaoshuai Sun, Yunpeng Luo, Jiayi Ji, Yiyi Zhou, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2021 | RaScaNet: Learning Tiny Models by Raster-Scanning Images. Jaehyoung Yoo, Dongwook Lee, Changyong Son, Sangil Jung, ByungIn Yoo, Changkyu Choi, Jae-Joon Han, Bohyung Han |
| 2021 | Radar-Camera Pixel Depth Association for Depth Completion. Yunfei Long, Daniel Morris, Xiaoming Liu, Marcos Castro, Punarjay Chakravarty, Praveen Narayanan |
| 2021 | Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation. Seungho Lee, Minhyun Lee, Jongwuk Lee, Hyunjung Shim |
| 2021 | Rainbow Memory: Continual Learning With a Memory of Diverse Samples. Jihwan Bang, Heesu Kim, Youngjoon Yoo, Jung-Woo Ha, Jonghyun Choi |
| 2021 | RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union. Zhidong Liang, Zehan Zhang, Ming Zhang, Xian Zhao, Shiliang Pu |
| 2021 | Rank-One Prior: Toward Real-Time Scene Recovery. Jun Liu, Ryan Wen Liu, Jianing Sun, Tieyong Zeng |
| 2021 | RankDetNet: Delving Into Ranking Constraints for Object Detection. Ji Liu, Dong Li, Rongzhang Zheng, Lu Tian, Yi Shan |
| 2021 | Ranking Neural Checkpoints. Yandong Li, Xuhui Jia, Ruoxin Sang, Yukun Zhu, Bradley Green, Liqiang Wang, Boqing Gong |
| 2021 | Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun |
| 2021 | ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning. Dominik Bauer, Timothy Patten, Markus Vincze |
| 2021 | ReDet: A Rotation-Equivariant Detector for Aerial Object Detection. Jiaming Han, Jian Ding, Nan Xue, Gui-Song Xia |
| 2021 | ReMix: Towards Image-to-Image Translation With Limited Data. Jie Cao, Luanxuan Hou, Ming-Hsuan Yang, Ran He, Zhenan Sun |
| 2021 | ReNAS: Relativistic Evaluation of Neural Architecture Search. Yixing Xu, Yunhe Wang, Kai Han, Yehui Tang, Shangling Jui, Chunjing Xu, Chang Xu |
| 2021 | Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition. Shancheng Fang, Hongtao Xie, Yuxin Wang, Zhendong Mao, Yongdong Zhang |
| 2021 | Read and Attend: Temporal Localisation in Sign Language Videos. Gül Varol, Liliane Momeni, Samuel Albanie, Triantafyllos Afouras, Andrew Zisserman |
| 2021 | Real-Time High-Resolution Background Matting. Shanchuan Lin, Andrey Ryabtsev, Soumyadip Sengupta, Brian L. Curless, Steven M. Seitz, Ira Kemelmacher-Shlizerman |
| 2021 | Real-Time Selfie Video Stabilization. Jiyang Yu, Ravi Ramamoorthi, Ke-Li Cheng, Michel Sarkis, Ning Bi |
| 2021 | Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images. Andreas Meuleman, Hyeonjoong Jang, Daniel S. Jeon, Min H. Kim |
| 2021 | Reciprocal Landmark Detection and Tracking With Extremely Few Annotations. Jianzhe Lin, Ghazal Sahebzamani, Christina Luong, Fatemeh Taheri Dezaki, Mohammad H. Jafari, Purang Abolmaesumi, Teresa Tsang |
| 2021 | Reciprocal Transformations for Unsupervised Video Object Segmentation. Sucheng Ren, Wenxi Liu, Yongtuo Liu, Haoxin Chen, Guoqiang Han, Shengfeng He |
| 2021 | Recognizing Actions in Videos From Unseen Viewpoints. A. J. Piergiovanni, Michael S. Ryoo |
| 2021 | Reconsidering Representation Alignment for Multi-View Clustering. Daniel J. Trosten, Sigurd Løkse, Robert Jenssen, Michael Kampffmeyer |
| 2021 | Reconstructing 3D Human Pose by Watching Humans in the Mirror. Qi Fang, Qing Shuai, Junting Dong, Hujun Bao, Xiaowei Zhou |
| 2021 | Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising. Tongyao Pang, Huan Zheng, Yuhui Quan, Hui Ji |
| 2021 | Rectification-Based Knowledge Retention for Continual Learning. Pravendra Singh, Pratik Mazumder, Piyush Rai, Vinay P. Namboodiri |
| 2021 | Recurrent Multi-View Alignment Network for Unsupervised Surface Registration. Wanquan Feng, Juyong Zhang, Hongrui Cai, Haofei Xu, Junhui Hou, Hujun Bao |
| 2021 | Reducing Domain Gap by Reducing Style Bias. Hyeonseob Nam, HyunJae Lee, Jongchan Park, Wonjun Yoon, Donggeun Yoo |
| 2021 | Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images. Haolin Liu, Anran Lin, Xiaoguang Han, Lei Yang, Yizhou Yu, Shuguang Cui |
| 2021 | Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation. Mingi Ji, Seungjae Shin, Seunghyun Hwang, Gibeom Park, Il-Chul Moon |
| 2021 | RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features. Gang Zhang, Xin Lu, Jingru Tan, Jianmin Li, Zhaoxiang Zhang, Quanquan Li, Xiaolin Hu |
| 2021 | Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification. Xiao Zhang, Yixiao Ge, Yu Qiao, Hongsheng Li |
| 2021 | Reformulating HOI Detection As Adaptive Set Prediction. Mingfei Chen, Yue Liao, Si Liu, Zhiyuan Chen, Fei Wang, Chen Qian |
| 2021 | Region-Aware Adaptive Instance Normalization for Image Harmonization. Jun Ling, Han Xue, Li Song, Rong Xie, Xiao Gu |
| 2021 | Regressive Domain Adaptation for Unsupervised Keypoint Detection. Junguang Jiang, Yifei Ji, Ximei Wang, Yufeng Liu, Jianmin Wang, Mingsheng Long |
| 2021 | Regularization Strategy for Point Cloud via Rigidly Mixed Sample. Dogyoon Lee, Jaeha Lee, Junhyeop Lee, Hyeongmin Lee, Minhyeok Lee, Sungmin Woo, Sangyoun Lee |
| 2021 | Regularizing Generative Adversarial Networks Under Limited Data. Hung-Yu Tseng, Lu Jiang, Ce Liu, Ming-Hsuan Yang, Weilong Yang |
| 2021 | Regularizing Neural Networks via Adversarial Model Perturbation. Yaowei Zheng, Richong Zhang, Yongyi Mao |
| 2021 | Reinforced Attention for Few-Shot Learning and Beyond. Jie Hong, Pengfei Fang, Weihao Li, Tong Zhang, Christian Simon, Mehrtash Harandi, Lars Petersson |
| 2021 | Relation-aware Instance Refinement for Weakly Supervised Visual Grounding. Yongfei Liu, Bo Wan, Lin Ma, Xuming He |
| 2021 | Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning. Shichao Kan, Yigang Cen, Yang Li, Vladimir Mladenovic, Zhihai He |
| 2021 | Relevance-CAM: Your Model Already Knows Where To Look. Jeong Ryong Lee, Sewon Kim, Inyong Park, Taejoon Eo, Dosik Hwang |
| 2021 | Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network. Ruicheng Feng, Chongyi Li, Huaijin G. Chen, Shuai Li, Chen Change Loy, Jinwei Gu |
| 2021 | Removing Raindrops and Rain Streaks in One Go. Ruijie Quan, Xin Yu, Yuanzhi Liang, Yi Yang |
| 2021 | Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning. Jinpeng Wang, Yuting Gao, Ke Li, Yiqi Lin, Andy J. Ma, Hao Cheng, Pai Peng, Feiyue Huang, Rongrong Ji, Xing Sun |
| 2021 | RepVGG: Making VGG-Style ConvNets Great Again. Xiaohan Ding, Xiangyu Zhang, Ningning Ma, Jungong Han, Guiguang Ding, Jian Sun |
| 2021 | Repetitive Activity Counting by Sight and Sound. Yunhua Zhang, Ling Shao, Cees G. M. Snoek |
| 2021 | Repopulating Street Scenes. Yifan Wang, Andrew Liu, Richard Tucker, Jiajun Wu, Brian L. Curless, Steven M. Seitz, Noah Snavely |
| 2021 | Representation Learning via Global Temporal Alignment and Cycle-Consistency. Isma Hadji, Konstantinos G. Derpanis, Allan D. Jepson |
| 2021 | Representative Batch Normalization With Feature Calibration. Shang-hua Gao, Qi Han, Duo Li, Ming-Ming Cheng, Pai Peng |
| 2021 | Representative Forgery Mining for Fake Face Detection. Chengrui Wang, Weihong Deng |
| 2021 | Representing Videos As Discriminative Sub-Graphs for Action Recognition. Dong Li, Zhaofan Qiu, Yingwei Pan, Ting Yao, Houqiang Li, Tao Mei |
| 2021 | Repurposing GANs for One-Shot Semantic Part Segmentation. Nontawat Tritrong, Pitchaporn Rewatbowornwong, Supasorn Suwajanakorn |
| 2021 | Residential Floor Plan Recognition and Reconstruction. Xiaolei Lv, Shengchu Zhao, Xinyang Yu, Binqiang Zhao |
| 2021 | Restore From Restored: Video Restoration With Pseudo Clean Video. Seunghwan Lee, Donghyeon Cho, Jiwon Kim, Tae Hyun Kim |
| 2021 | Restoring Extremely Dark Images in Real Time. Mohit Lamba, Kaushik Mitra |
| 2021 | Rethinking BiSeNet for Real-Time Semantic Segmentation. Mingyuan Fan, Shenqi Lai, Junshi Huang, Xiaoming Wei, Zhenhua Chai, Junfeng Luo, Xiaolin Wei |
| 2021 | Rethinking Channel Dimensions for Efficient Model Design. Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo |
| 2021 | Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning. Hongguang Zhang, Piotr Koniusz, Songlei Jian, Hongdong Li, Philip H. S. Torr |
| 2021 | Rethinking Graph Neural Architecture Search From Message-Passing. Shaofei Cai, Liang Li, Jincan Deng, Beichen Zhang, Zheng-Jun Zha, Li Su, Qingming Huang |
| 2021 | Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers. Sixiao Zheng, Jiachen Lu, Hengshuang Zhao, Xiatian Zhu, Zekun Luo, Yabiao Wang, Yanwei Fu, Jianfeng Feng, Tao Xiang, Philip H. S. Torr, Li Zhang |
| 2021 | Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes. Dmytro Kotovenko, Matthias Wright, Arthur Heimbrecht, Björn Ommer |
| 2021 | Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach. Xingqian Xu, Zhifei Zhang, Zhaowen Wang, Brian L. Price, Zhonghao Wang, Humphrey Shi |
| 2021 | Rethinking and Improving the Robustness of Image Style Transfer. Pei Wang, Yijun Li, Nuno Vasconcelos |
| 2021 | Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation. Zhengxiong Luo, Zhicheng Wang, Yan Huang, Liang Wang, Tieniu Tan, Erjin Zhou |
| 2021 | Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement. Risheng Liu, Long Ma, Jiaao Zhang, Xin Fan, Zhongxuan Luo |
| 2021 | Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning. Amaia Salvador, Erhan Gundogdu, Loris Bazzani, Michael Donoser |
| 2021 | Revisiting Knowledge Distillation: An Inheritance and Exploration Framework. Zhen Huang, Xu Shen, Jun Xing, Tongliang Liu, Xinmei Tian, Houqiang Li, Bing Deng, Jianqiang Huang, Xian-Sheng Hua |
| 2021 | Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs. Lile Cai, Xun Xu, Jun Hao Liew, Chuan Sheng Foo |
| 2021 | RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction. Yinyu Nie, Ji Hou, Xiaoguang Han, Matthias Nießner |
| 2021 | Rich Context Aggregation With Reflection Prior for Glass Surface Detection. Jiaying Lin, Zebang He, Rynson W. H. Lau |
| 2021 | Rich Features for Perceptual Quality Assessment of UGC Videos. Yilin Wang, Junjie Ke, Hossein Talebi, Joong Gon Yim, Neil Birkbeck, Balu Adsumilli, Peyman Milanfar, Feng Yang |
| 2021 | Riggable 3D Face Reconstruction via In-Network Optimization. Ziqian Bai, Zhaopeng Cui, Xiaoming Liu, Ping Tan |
| 2021 | Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations. Wolfgang Stammer, Patrick Schramowski, Kristian Kersting |
| 2021 | Robust Audio-Visual Instance Discrimination. Pedro Morgado, Ishan Misra, Nuno Vasconcelos |
| 2021 | Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization. Jiaru Zhang, Yang Hua, Zhengui Xue, Tao Song, Chengyu Zheng, Ruhui Ma, Haibing Guan |
| 2021 | Robust Consistent Video Depth Estimation. Johannes Kopf, Xuejian Rong, Jia-Bin Huang |
| 2021 | Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion. Xiaoding Yuan, Adam Kortylewski, Yihong Sun, Alan L. Yuille |
| 2021 | Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals. Kun Qian, Shilin Zhu, Xinyu Zhang, Li Erran Li |
| 2021 | Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments. Siyan Dong, Qingnan Fan, He Wang, Ji Shi, Li Yi, Thomas A. Funkhouser, Baoquan Chen, Leonidas J. Guibas |
| 2021 | Robust Point Cloud Registration Framework Based on Deep Graph Matching. Kexue Fu, Shaolei Liu, Xiaoyuan Luo, Manning Wang |
| 2021 | Robust Reference-Based Super-Resolution via C2-Matching. Yuming Jiang, Kelvin C. K. Chan, Xintao Wang, Chen Change Loy, Ziwei Liu |
| 2021 | Robust Reflection Removal With Reflection-Free Flash-Only Cues. Chenyang Lei, Qifeng Chen |
| 2021 | Robust Representation Learning With Feedback for Single Image Deraining. Chenghao Chen, Hao Li |
| 2021 | Robust and Accurate Object Detection via Adversarial Learning. Xiangning Chen, Cihang Xie, Mingxing Tan, Li Zhang, Cho-Jui Hsieh, Boqing Gong |
| 2021 | RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening. Sungha Choi, Sanghun Jung, Huiwon Yun, Joanne Taery Kim, Seungryong Kim, Jaegul Choo |
| 2021 | Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses. Yiming Qian, Hao Zhang, Yasutaka Furukawa |
| 2021 | Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression. Chen Gao, Jinyu Chen, Si Liu, Luting Wang, Qiong Zhang, Qi Wu |
| 2021 | Roses Are Red, Violets Are Blue... but Should VQA Expect Them To? Corentin Kervadec, Grigory Antipov, Moez Baccouche, Christian Wolf |
| 2021 | Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging. Álvaro Parra, Shin-Fang Ch'ng, Tat-Jun Chin, Anders P. Eriksson, Ian Reid |
| 2021 | Rotation Equivariant Siamese Networks for Tracking. Deepak K. Gupta, Devanshu Arya, Efstratios Gavves |
| 2021 | Rotation-Only Bundle Adjustment. Seong Hun Lee, Javier Civera |
| 2021 | S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration. Zhiqiang Shen, Zechun Liu, Jie Qin, Lei Huang, Kwang-Ting Cheng, Marios Savvides |
| 2021 | S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation. Xiaotian Chen, Yuwang Wang, Xuejin Chen, Wenjun Zeng |
| 2021 | S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation. Yu-Kai Huang, Yueh-Cheng Liu, Tsung-Han Wu, Hung-Ting Su, Yu-Cheng Chang, Tsung-Lin Tsou, Yu-An Wang, Winston H. Hsu |
| 2021 | S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling. Ze Yang, Shenlong Wang, Sivabalan Manivasagam, Zeng Huang, Wei-Chiu Ma, Xinchen Yan, Ersin Yumer, Raquel Urtasun |
| 2021 | SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data. Yuan-Ting Hu, Jiahong Wang, Raymond A. Yeh, Alexander G. Schwing |
| 2021 | SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements. Qianli Ma, Shunsuke Saito, Jinlong Yang, Siyu Tang, Michael J. Black |
| 2021 | SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks. Shunsuke Saito, Jinlong Yang, Qianli Ma, Michael J. Black |
| 2021 | SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation. Siqi Fan, Qiulei Dong, Fenghua Zhu, Yisheng Lv, Peijun Ye, Fei-Yue Wang |
| 2021 | SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance. Fu-Zhao Ou, Xingyu Chen, Ruixin Zhang, Yuge Huang, Shaoxin Li, Jilin Li, Yong Li, Liujuan Cao, Yuan-Gen Wang |
| 2021 | SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud. Wu Zheng, Weiliang Tang, Li Jiang, Chi-Wing Fu |
| 2021 | SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation. Dongfang Liu, Yiming Cui, Wenbo Tan, Yingjie Victor Chen |
| 2021 | SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction. Liushuai Shi, Le Wang, Chengjiang Long, Sanping Zhou, Mo Zhou, Zhenxing Niu, Gang Hua |
| 2021 | SIPSA-Net: Shift-Invariant Pan Sharpening With Moving Object Alignment for Satellite Imagery. Jaehyup Lee, Soomin Seo, Munchurl Kim |
| 2021 | SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature. Zedong Tang, Fenlong Jiang, Maoguo Gong, Hao Li, Yue Wu, Fan Yu, Zidong Wang, Min Wang |
| 2021 | SLADE: A Self-Training Framework for Distance Metric Learning. Jiali Duan, Yen-Liang Lin, Son Dinh Tran, Larry S. Davis, C.-C. Jay Kuo |
| 2021 | SMD-Nets: Stereo Mixture Density Networks. Fabio Tosi, Yiyi Liao, Carolin Schmitt, Andreas Geiger |
| 2021 | SMPLicit: Topology-Aware Generative Model for Clothed People. Enric Corona, Albert Pumarola, Guillem Alenyà, Gerard Pons-Moll, Francesc Moreno-Noguer |
| 2021 | SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping. Austin Stone, Daniel Maurer, Alper Ayvaci, Anelia Angelova, Rico Jonschkowski |
| 2021 | SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition. Yan Xia, Yusheng Xu, Shuang Li, Rui Wang, Juan Du, Daniel Cremers, Uwe Stilla |
| 2021 | SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection. Rémi Pautrat, Juan-Ting Lin, Viktor Larsson, Martin R. Oswald, Marc Pollefeys |
| 2021 | SOON: Scenario Oriented Object Navigation With Graph-Based Exploration. Fengda Zhu, Xiwen Liang, Yi Zhu, Qizhi Yu, Xiaojun Chang, Xiaodan Liang |
| 2021 | SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans. Angela Dai, Yawar Siddiqui, Justus Thies, Julien Valentin, Matthias Nießner |
| 2021 | SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection. Weichen Zhang, Wen Li, Dong Xu |
| 2021 | SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation. Sanghyun Son, Kyoung Mu Lee |
| 2021 | SSAN: Separable Self-Attention Network for Video Representation Learning. Xudong Guo, Xun Guo, Yan Lu |
| 2021 | SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama. Phi Vu Tran |
| 2021 | SSN: Soft Shadow Network for Image Compositing. Yichen Sheng, Jianming Zhang, Bedrich Benes |
| 2021 | SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation. Brendan Duke, Abdalla Ahmed, Christian Wolf, Parham Aarabi, Graham W. Taylor |
| 2021 | ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection. Jihan Yang, Shaoshuai Shi, Zhe Wang, Hongsheng Li, Xiaojuan Qi |
| 2021 | STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks. Zhihong Fu, Qingjie Liu, Zehua Fu, Yunhong Wang |
| 2021 | STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering. Wentao Yuan, Zhaoyang Lv, Tanner Schmidt, Steven Lovegrove |
| 2021 | SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events. Li Xu, He Huang, Jun Liu |
| 2021 | Safe Local Motion Planning With Self-Supervised Freespace Forecasting. Peiyun Hu, Aaron Huang, John M. Dolan, David Held, Deva Ramanan |
| 2021 | Saliency-Guided Image Translation. Lai Jiang, Mai Xu, Xiaofei Wang, Leonid Sigal |
| 2021 | Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification? Ruoxi Jia, Fan Wu, Xuehui Sun, Jiacen Xu, David Dao, Bhavya Kailkhura, Ce Zhang, Bo Li, Dawn Song |
| 2021 | Scalable Differential Privacy With Sparse Network Finetuning. Zelun Luo, Daniel J. Wu, Ehsan Adeli, Li Fei-Fei |
| 2021 | Scale-Aware Automatic Augmentation for Object Detection. Yukang Chen, Yanwei Li, Tao Kong, Lu Qi, Ruihang Chu, Lei Li, Jiaya Jia |
| 2021 | Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation. Guo-Sen Xie, Jie Liu, Huan Xiong, Ling Shao |
| 2021 | Scale-Localized Abstract Reasoning. Yaniv Benny, Niv Pekar, Lior Wolf |
| 2021 | Scaled-YOLOv4: Scaling Cross Stage Partial Network. Chien-Yao Wang, Alexey Bochkovskiy, Hong-Yuan Mark Liao |
| 2021 | Scaling Local Self-Attention for Parameter Efficient Visual Backbones. Ashish Vaswani, Prajit Ramachandran, Aravind Srinivas, Niki Parmar, Blake A. Hechtman, Jonathon Shlens |
| 2021 | Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans. Dave Zhenyu Chen, Ali Gholami, Matthias Nießner, Angel X. Chang |
| 2021 | Scene Essence. Jiayan Qiu, Yiding Yang, Xinchao Wang, Dacheng Tao |
| 2021 | Scene Text Retrieval via Joint Text Detection and Similarity Learning. Hao Wang, Xiang Bai, Mingkun Yang, Shenggao Zhu, Jing Wang, Wenyu Liu |
| 2021 | Scene Text Telescope: Text-Focused Scene Image Super-Resolution. Jingye Chen, Bin Li, Xiangyang Xue |
| 2021 | Scene-Aware Generative Network for Human Motion Synthesis. Jingbo Wang, Sijie Yan, Bo Dai, Dahua Lin |
| 2021 | Scene-Intuitive Agent for Remote Embodied Visual Grounding. Xiangru Lin, Guanbin Li, Yizhou Yu |
| 2021 | SceneGen: Learning To Generate Realistic Traffic Scenes. Shuhan Tan, Kelvin Wong, Shenlong Wang, Sivabalan Manivasagam, Mengye Ren, Raquel Urtasun |
| 2021 | SceneGraphFusion: Incremental 3D Scene Graph Prediction From RGB-D Sequences. Shun-Cheng Wu, Johanna Wald, Keisuke Tateno, Nassir Navab, Federico Tombari |
| 2021 | Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator. Sian-Yao Huang, Wei-Ta Chu |
| 2021 | Searching for Fast Model Families on Datacenter Accelerators. Sheng Li, Mingxing Tan, Ruoming Pang, Andrew Li, Liqun Cheng, Quoc V. Le, Norman P. Jouppi |
| 2021 | See Through Gradients: Image Batch Recovery via GradInversion. Hongxu Yin, Arun Mallya, Arash Vahdat, José M. Álvarez, Jan Kautz, Pavlo Molchanov |
| 2021 | Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences. Norman Müller, Yu-Shiang Wong, Niloy J. Mitra, Angela Dai, Matthias Nießner |
| 2021 | Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning. Zhicheng Huang, Zhaoyang Zeng, Yupan Huang, Bei Liu, Dongmei Fu, Jianlong Fu |
| 2021 | Seeing in Extra Darkness Using a Deep-Red Flash. Jinhui Xiong, Jian Wang, Wolfgang Heidrich, Shree K. Nayar |
| 2021 | Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association. Peisong Wen, Qianqian Xu, Yangbangyan Jiang, Zhiyong Yang, Yuan He, Qingming Huang |
| 2021 | Seesaw Loss for Long-Tailed Instance Segmentation. Jiaqi Wang, Wenwei Zhang, Yuhang Zang, Yuhang Cao, Jiangmiao Pang, Tao Gong, Kai Chen, Ziwei Liu, Chen Change Loy, Dahua Lin |
| 2021 | Self-Aligned Video Deraining With Transmission-Depth Consistency. Wending Yan, Robby T. Tan, Wenhan Yang, Dengxin Dai |
| 2021 | Self-Attention Based Text Knowledge Mining for Text Detection. Qi Wan, Haoqin Ji, Linlin Shen |
| 2021 | Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators. Wenda Zhao, Cai Shang, Huchuan Lu |
| 2021 | Self-Guided and Cross-Guided Learning for Few-Shot Segmentation. Bingfeng Zhang, Jimin Xiao, Terry Qin |
| 2021 | Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk. Ruibo Li, Guosheng Lin, Lihua Xie |
| 2021 | Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning. Kai Zhu, Yang Cao, Wei Zhai, Jie Cheng, Zheng-Jun Zha |
| 2021 | Self-Supervised 3D Mesh Reconstruction From Single Images. Tao Hu, Liwei Wang, Xiaogang Xu, Shu Liu, Jiaya Jia |
| 2021 | Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation. Nikita Araslanov, Stefan Roth |
| 2021 | Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On. Igor Santesteban, Nils Thuerey, Miguel A. Otaduy, Dan Casas |
| 2021 | Self-Supervised Geometric Perception. Heng Yang, Wei Dong, Luca Carlone, Vladlen Koltun |
| 2021 | Self-Supervised Learning for Semi-Supervised Temporal Action Proposal. Xiang Wang, Shiwei Zhang, Zhiwu Qing, Yuanjie Shao, Changxin Gao, Nong Sang |
| 2021 | Self-Supervised Learning of Depth Inference for Multi-View Stereo. Jiayu Yang, José M. Álvarez, Miaomiao Liu |
| 2021 | Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models. Benjamin Eckart, Wentao Yuan, Chao Liu, Jan Kautz |
| 2021 | Self-Supervised Motion Learning From Static Images. Ziyuan Huang, Shiwei Zhang, Jianwen Jiang, Mingqian Tang, Rong Jin, Marcelo H. Ang |
| 2021 | Self-Supervised Multi-Frame Monocular Scene Flow. Junhwa Hur, Stefan Roth |
| 2021 | Self-Supervised Pillar Motion Learning for Autonomous Driving. Chenxu Luo, Xiaodong Yang, Alan L. Yuille |
| 2021 | Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map. Elmira Amirloo Abolfathi, Mohsen Rohani, Ershad Banijamali, Jun Luo, Pascal Poupart |
| 2021 | Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency. Sangeek Hyun, Jihwan Kim, Jae-Pil Heo |
| 2021 | Self-Supervised Video Hashing via Bidirectional Transformers. Shuyan Li, Xiu Li, Jiwen Lu, Jie Zhou |
| 2021 | Self-Supervised Video Representation Learning by Context and Motion Decoupling. Lianghua Huang, Yu Liu, Bin Wang, Pan Pan, Yinghui Xu, Rong Jin |
| 2021 | Self-Supervised Visibility Learning for Novel View Synthesis. Yujiao Shi, Hongdong Li, Xin Yu |
| 2021 | Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification. Fariborz Taherkhani, Ali Dabouei, Sobhan Soleymani, Jeremy M. Dawson, Nasser M. Nasrabadi |
| 2021 | SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning. Colorado J. Reed, Sean Metzger, Aravind Srinivas, Trevor Darrell, Kurt Keutzer |
| 2021 | SelfDoc: Self-Supervised Document Representation Learning. Peizhao Li, Jiuxiang Gu, Jason Kuen, Vlad I. Morariu, Handong Zhao, Rajiv Jain, Varun Manjunatha, Hongfu Liu |
| 2021 | SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network. Xu Yang, Cheng Deng, Zhiyuan Dang, Kun Wei, Junchi Yan |
| 2021 | Semantic Audio-Visual Navigation. Changan Chen, Ziad Al-Halah, Kristen Grauman |
| 2021 | Semantic Image Matting. Yanan Sun, Chi-Keung Tang, Yu-Wing Tai |
| 2021 | Semantic Palette: Guiding Scene Generation With Class Proportions. Guillaume Le Moing, Tuan-Hung Vu, Himalaya Jain, Patrick Pérez, Matthieu Cord |
| 2021 | Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection. Chenchen Zhu, Fangyi Chen, Uzair Ahmed, Zhiqiang Shen, Marios Savvides |
| 2021 | Semantic Scene Completion via Integrating Instances and Scene In-the-Loop. Yingjie Cai, Xuesong Chen, Chao Zhang, Kwan-Yee Lin, Xiaogang Wang, Hongsheng Li |
| 2021 | Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization. Daiqing Li, Junlin Yang, Karsten Kreis, Antonio Torralba, Sanja Fidler |
| 2021 | Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion. Shi Qiu, Saeed Anwar, Nick Barnes |
| 2021 | Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning. Ali Cheraghian, Shafin Rahman, Pengfei Fang, Soumava Kumar Roy, Lars Petersson, Mehrtash Harandi |
| 2021 | Semantic-Aware Video Text Detection. Wei Feng, Fei Yin, Xu-Yao Zhang, Cheng-Lin Liu |
| 2021 | Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time. Shaowei Liu, Hanwen Jiang, Jiarui Xu, Sifei Liu, Xiaolong Wang |
| 2021 | Semi-Supervised Action Recognition With Temporal Contrastive Learning. Ankit Singh, Omprakash Chakraborty, Ashutosh Varshney, Rameswar Panda, Rogério Feris, Kate Saenko, Abir Das |
| 2021 | Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation. Shuaijun Chen, Xu Jia, Jianzhong He, Yongjie Shi, Jianzhuang Liu |
| 2021 | Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision. Xiaokang Chen, Yuhui Yuan, Gang Zeng, Jingdong Wang |
| 2021 | Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency. Xin Lai, Zhuotao Tian, Li Jiang, Shu Liu, Hengshuang Zhao, Liwei Wang, Jiaya Jia |
| 2021 | Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans. Bindita Chaudhuri, Nikolaos Sarafianos, Linda G. Shapiro, Tony Tung |
| 2021 | Semi-Supervised Video Deraining With Dynamical Rain Generator. Zongsheng Yue, Jianwen Xie, Qian Zhao, Deyu Meng |
| 2021 | Separating Skills and Concepts for Novel Visual Question Answering. Spencer Whitehead, Hui Wu, Heng Ji, Rogério Feris, Kate Saenko |
| 2021 | Sequence-to-Sequence Contrastive Learning for Text Recognition. Aviad Aberdam, Ron Litman, Shahar Tsiper, Oron Anschel, Ron Slossberg, Shai Mazor, R. Manmatha, Pietro Perona |
| 2021 | Sequential Graph Convolutional Network for Active Learning. Razvan Caramalau, Binod Bhattarai, Tae-Kyun Kim |
| 2021 | SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data. Jinwoo Kim, Jaehoon Yoo, Juho Lee, Seunghoon Hong |
| 2021 | Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark. Joakim Bruslund Haurum, Thomas B. Moeslund |
| 2021 | Shallow Feature Matters for Weakly Supervised Object Localization. Jun Wei, Qin Wang, Zhen Li, Sheng Wang, S. Kevin Zhou, Shuguang Cui |
| 2021 | Shape From Sky: Polarimetric Normal Recovery Under the Sky. Tomoki Ichikawa, Matthew Purri, Ryo Kawahara, Shohei Nobuhara, Kristin J. Dana, Ko Nishino |
| 2021 | Shape and Material Capture at Home. Daniel Lichy, Jiaye Wu, Soumyadip Sengupta, David W. Jacobs |
| 2021 | Shared Cross-Modal Trajectory Prediction for Autonomous Driving. Chiho Choi, Joon Hee Choi, Jiachen Li, Srikanth Malla |
| 2021 | Shelf-Supervised Mesh Prediction in the Wild. Yufei Ye, Shubham Tulsiani, Abhinav Gupta |
| 2021 | Shot Contrastive Self-Supervised Learning for Scene Boundary Detection. Shixing Chen, Xiaohan Nie, David Fan, Dongqing Zhang, Vimal Bhat, Raffay Hamid |
| 2021 | SiamMOT: Siamese Multi-Object Tracking. Bing Shuai, Andrew G. Berneshawi, Xinyu Li, Davide Modolo, Joseph Tighe |
| 2021 | Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers. Qi Feng, Vitaly Ablavsky, Qinxun Bai, Stan Sclaroff |
| 2021 | Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds. Wenbin Zhao, Jiabao Lei, Yuxin Wen, Jianguo Zhang, Kui Jia |
| 2021 | SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification. Zijian Hu, Zhengyu Yang, Xuefeng Hu, Ram Nevatia |
| 2021 | SimPoE: Simulated Character Control for 3D Human Pose Estimation. Ye Yuan, Shih-En Wei, Tomas Simon, Kris Kitani, Jason M. Saragih |
| 2021 | Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation. Golnaz Ghiasi, Yin Cui, Aravind Srinivas, Rui Qian, Tsung-Yi Lin, Ekin D. Cubuk, Quoc V. Le, Barret Zoph |
| 2021 | Simpler Certified Radius Maximization by Propagating Covariances. Xingjian Zhen, Rudrasis Chakraborty, Vikas Singh |
| 2021 | Simulating Unknown Target Models for Query-Efficient Black-Box Attacks. Chen Ma, Li Chen, Jun-Hai Yong |
| 2021 | Simultaneously Localize, Segment and Rank the Camouflaged Objects. Yunqiu Lv, Jing Zhang, Yuchao Dai, Aixuan Li, Bowen Liu, Nick Barnes, Deng-Ping Fan |
| 2021 | Single Image Depth Prediction With Wavelet Decomposition. Michaël Ramamonjisoa, Michael Firman, Jamie Watson, Vincent Lepetit, Daniyar Turmukhambetov |
| 2021 | Single Image Reflection Removal With Absorption Effect. Qian Zheng, Boxin Shi, Jinnan Chen, Xudong Jiang, Ling-Yu Duan, Alex C. Kot |
| 2021 | Single Pair Cross-Modality Super Resolution. Guy Shacht, Dov Danon, Sharon Fogel, Daniel Cohen-Or |
| 2021 | Single-Shot Freestyle Dance Reenactment. Oran Gafni, Oron Ashual, Lior Wolf |
| 2021 | Single-Stage Instance Shadow Detection With Bidirectional Relation Learning. Tianyu Wang, Xiaowei Hu, Chi-Wing Fu, Pheng-Ann Heng |
| 2021 | Single-View 3D Object Reconstruction From Shape Priors in Memory. Shuo Yang, Min Xu, Haozhe Xie, Stuart W. Perry, Jiahao Xia |
| 2021 | Single-View Robot Pose and Joint Angle Estimation via Render & Compare. Yann Labbé, Justin Carpentier, Mathieu Aubry, Josef Sivic |
| 2021 | Skeleton Merger: An Unsupervised Aligned Keypoint Detector. Ruoxi Shi, Zhengrong Xue, Yang You, Cewu Lu |
| 2021 | Sketch, Ground, and Refine: Top-Down Dense Video Captioning. Chaorui Deng, Shizhe Chen, Da Chen, Yuan He, Qi Wu |
| 2021 | Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches. Song-Hai Zhang, Yuan-Chen Guo, Qing-Wen Gu |
| 2021 | Skip-Convolutions for Efficient Video Processing. Amirhossein Habibian, Davide Abati, Taco S. Cohen, Babak Ehteshami Bejnordi |
| 2021 | SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation. Giovanni Pintore, Marco Agus, Eva Almansa, Jens Schneider, Enrico Gobbetti |
| 2021 | Slimmable Compressive Autoencoders for Practical Neural Image Compression. Fei Yang, Luis Herranz, Yongmei Cheng, Mikhail G. Mozerov |
| 2021 | Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation. Yahui Liu, Enver Sangineto, Yajing Chen, Linchao Bao, Haoxian Zhang, Nicu Sebe, Bruno Lepri, Wei Wang, Marco De Nadai |
| 2021 | Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder. Tal Daniel, Aviv Tamar |
| 2021 | Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective. Jingwei Sun, Ang Li, Binghui Wang, Huanrui Yang, Hai Li, Yiran Chen |
| 2021 | Source-Free Domain Adaptation for Semantic Segmentation. Yuang Liu, Wei Zhang, Jun Wang |
| 2021 | Space-Time Distillation for Video Super-Resolution. Zeyu Xiao, Xueyang Fu, Jie Huang, Zhen Cheng, Zhiwei Xiong |
| 2021 | Space-Time Neural Irradiance Fields for Free-Viewpoint Video. Wenqi Xian, Jia-Bin Huang, Johannes Kopf, Changil Kim |
| 2021 | Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion. Vitor Guizilini, Rares Ambrus, Wolfram Burgard, Adrien Gaidon |
| 2021 | Sparse Multi-Path Corrections in Fringe Projection Profilometry. Yu Zhang, Daniel L. Lau, David Wipf |
| 2021 | Sparse R-CNN: End-to-End Object Detection With Learnable Proposals. Peize Sun, Rufeng Zhang, Yi Jiang, Tao Kong, Chenfeng Xu, Wei Zhan, Masayoshi Tomizuka, Lei Li, Zehuan Yuan, Changhu Wang, Ping Luo |
| 2021 | Spatial Assembly Networks for Image Representation Learning. Yang Li, Shichao Kan, Jianhe Yuan, Wenming Cao, Zhihai He |
| 2021 | Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation. Minghan Li, Shuai Li, Lida Li, Lei Zhang |
| 2021 | Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain. Honggu Liu, Xiaodan Li, Wenbo Zhou, Yuefeng Chen, Yuan He, Hui Xue, Weiming Zhang, Nenghai Yu |
| 2021 | Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos. Jiawei Liu, Zheng-Jun Zha, Wei Wu, Kecheng Zheng, Qibin Sun |
| 2021 | Spatially Consistent Representation Learning. Byungseok Roh, Wuhyun Shin, Ildoo Kim, Sungwoong Kim |
| 2021 | Spatially-Adaptive Pixelwise Networks for Fast Image Translation. Tamar Rott Shaham, Michaël Gharbi, Richard Zhang, Eli Shechtman, Tomer Michaeli |
| 2021 | Spatially-Invariant Style-Codes Controlled Makeup Transfer. Han Deng, Chu Han, Hongmin Cai, Guoqiang Han, Shengfeng He |
| 2021 | Spatially-Varying Outdoor Lighting Estimation From Intrinsics. Yongjie Zhu, Yinda Zhang, Si Li, Boxin Shi |
| 2021 | Spatio-temporal Contrastive Domain Adaptation for Action Recognition. Xiaolin Song, Sicheng Zhao, Jingyu Yang, Huanjing Yue, Pengfei Xu, Runbo Hu, Hua Chai |
| 2021 | Spatiotemporal Contrastive Video Representation Learning. Rui Qian, Tianjian Meng, Boqing Gong, Ming-Hsuan Yang, Huisheng Wang, Serge J. Belongie, Yin Cui |
| 2021 | Spatiotemporal Registration for Event-Based Visual Odometry. Daqi Liu, Álvaro Parra, Tat-Jun Chin |
| 2021 | Spherical Confidence Learning for Face Recognition. Shen Li, Jianqing Xu, Xiaqing Xu, Pengcheng Shen, Shaoxin Li, Bryan Hooi |
| 2021 | SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration. Sheng Ao, Qingyong Hu, Bo Yang, Andrew Markham, Yulan Guo |
| 2021 | Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream. Jing Zhao, Ruiqin Xiong, Hangfan Liu, Jian Zhang, Tiejun Huang |
| 2021 | Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions. Mathew Monfort, SouYoung Jin, Alexander H. Liu, David Harwath, Rogério Feris, James R. Glass, Aude Oliva |
| 2021 | Square Root Bundle Adjustment for Large-Scale Reconstruction. Nikolaus Demmel, Christiane Sommer, Daniel Cremers, Vladyslav Usenko |
| 2021 | StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis. Moustafa Meshry, Yixuan Ren, Larry S. Davis, Abhinav Shrivastava |
| 2021 | Stable View Synthesis. Gernot Riegler, Vladlen Koltun |
| 2021 | StablePose: Learning 6D Object Poses From Geometrically Stable Patches. Yifei Shi, Junwen Huang, Xin Xu, Yifan Zhang, Kai Xu |
| 2021 | Stay Positive: Non-Negative Image Synthesis for Augmented Reality. Katie Luo, Guandao Yang, Wenqi Xian, Harald Haraldsson, Bharath Hariharan, Serge J. Belongie |
| 2021 | Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes. Julian Chibane, Aayush Bansal, Verica Lazova, Gerard Pons-Moll |
| 2021 | StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision. Yang Hong, Juyong Zhang, Boyi Jiang, Yudong Guo, Ligang Liu, Hujun Bao |
| 2021 | StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks. Kai Fischer, Martin Simon, Florian Ölsner, Stefan Milz, Horst-Michael Gross, Patrick Mäder |
| 2021 | Stochastic Image-to-Video Synthesis Using cINNs. Michael Dorkenwald, Timo Milbich, Andreas Blattmann, Robin Rombach, Konstantinos G. Derpanis, Björn Ommer |
| 2021 | Stochastic Whitening Batch Normalization. Shengdong Zhang, Ehsan Nezhadarya, Homa Fashandi, Jiayi Liu, Darin Graham, Mohak Shah |
| 2021 | Strengthen Learning Tolerance for Weakly Supervised Object Localization. Guangyu Guo, Junwei Han, Fang Wan, Dingwen Zhang |
| 2021 | StruMonoNet: Structure-Aware Monocular 3D Prediction. Zhenpei Yang, Li Erran Li, Qixing Huang |
| 2021 | Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes. Shuai Shen, Wanhua Li, Zheng Zhu, Guan Huang, Dalong Du, Jiwen Lu, Jie Zhou |
| 2021 | Structured Multi-Level Interaction Network for Video Moment Localization via Language Query. Hao Wang, Zheng-Jun Zha, Liang Li, Dong Liu, Jiebo Luo |
| 2021 | Structured Scene Memory for Vision-Language Navigation. Hanqing Wang, Wenguan Wang, Wei Liang, Caiming Xiong, Jianbing Shen |
| 2021 | Student-Teacher Learning From Clean Inputs to Noisy Inputs. Guanzhe Hong, Zhiyuan Mao, Xiaojun Lin, Stanley H. Chan |
| 2021 | Style-Aware Normalized Loss for Improving Arbitrary Style Transfer. Jiaxin Cheng, Ayush Jaiswal, Yue Wu, Pradeep Natarajan, Prem Natarajan |
| 2021 | Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion. Chulin Xie, Chuxin Wang, Bo Zhang, Hao Yang, Dong Chen, Fang Wen |
| 2021 | StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval. Aneeshan Sain, Ayan Kumar Bhunia, Yongxin Yang, Tao Xiang, Yi-Zhe Song |
| 2021 | StyleMix: Separating Content and Style for Enhanced Data Augmentation. Minui Hong, Jinwoo Choi, Gunhee Kim |
| 2021 | StylePeople: A Generative Model of Fullbody Human Avatars. Artur Grigorev, Karim Iskakov, Anastasia Ianina, Renat Bashirov, Ilya Zakharkin, Alexander Vakhitov, Victor Lempitsky |
| 2021 | StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation. Zongze Wu, Dani Lischinski, Eli Shechtman |
| 2021 | Stylized Neural Painting. Zhengxia Zou, Tianyang Shi, Shuang Qiu, Yi Yuan, Zhenwei Shi |
| 2021 | SuperMix: Supervising the Mixing Data Augmentation. Ali Dabouei, Sobhan Soleymani, Fariborz Taherkhani, Nasser M. Nasrabadi |
| 2021 | SurFree: A Fast Surrogate-Free Black-Box Attack. Thibault Maho, Teddy Furon, Erwan Le Merrer |
| 2021 | Surrogate Gradient Field for Latent Space Manipulation. Minjun Li, Yanghua Jin, Huachun Zhu |
| 2021 | SwiftNet: Real-Time Video Object Segmentation. Haochen Wang, Xiaolong Jiang, Haibing Ren, Yao Hu, Song Bai |
| 2021 | Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis. Arghya Pal, Raphael C.-W. Phan, KokSheik Wong |
| 2021 | Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes. Jiashun Wang, Huazhe Xu, Jingwei Xu, Sifei Liu, Xiaolong Wang |
| 2021 | T-vMF Similarity for Regularizing Intra-Class Feature Distribution. Takumi Kobayashi |
| 2021 | T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval. Xiaohan Wang, Linchao Zhu, Yi Yang |
| 2021 | TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption. Zhengyuan Yang, Yijuan Lu, Jianfeng Wang, Xi Yin, Dinei Florêncio, Lijuan Wang, Cha Zhang, Lei Zhang, Jiebo Luo |
| 2021 | TDN: Temporal Difference Networks for Efficient Action Recognition. Limin Wang, Zhan Tong, Bin Ji, Gangshan Wu |
| 2021 | TPCN: Temporal Point Cloud Networks for Motion Forecasting. Maosheng Ye, Tongyi Cao, Qifeng Chen |
| 2021 | TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation. Lingming Zhang, Yue Zhao, Deyu Meng, Zhiming Cui, Chenqiang Gao, Xinbo Gao, Chunfeng Lian, Dinggang Shen |
| 2021 | Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation. Younghyun Jo, Seoung Wug Oh, Peter Vajda, Seon Joo Kim |
| 2021 | Taming Transformers for High-Resolution Image Synthesis. Patrick Esser, Robin Rombach, Björn Ommer |
| 2021 | Tangent Space Backpropagation for 3D Transformation Groups. Zachary Teed, Jia Deng |
| 2021 | Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation. Tianfei Zhou, Jianwu Li, Xueyi Li, Ling Shao |
| 2021 | Task Programming: Learning Data Efficient Behavior Representations. Jennifer J. Sun, Ann Kennedy, Eric Zhan, David J. Anderson, Yisong Yue, Pietro Perona |
| 2021 | Task-Aware Variational Adversarial Active Learning. Kwanyoung Kim, Dongwon Park, Kwang In Kim, Se Young Chun |
| 2021 | Taskology: Utilizing Task Relations at Scale. Yao Lu, Sören Pirk, Jan Dlabal, Anthony Brohan, Ankita Pasad, Zhao Chen, Vincent Casser, Anelia Angelova, Ariel Gordon |
| 2021 | Teachers Do More Than Teach: Compressing Image-to-Image Models. Qing Jin, Jian Ren, Oliver J. Woodford, Jiazhuo Wang, Geng Yuan, Yanzhi Wang, Sergey Tulyakov |
| 2021 | TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations. Jiahao Pang, Duanshun Li, Dong Tian |
| 2021 | TediGAN: Text-Guided Diverse Face Image Generation and Manipulation. Weihao Xia, Yujiu Yang, Jing-Hao Xue, Baoyuan Wu |
| 2021 | Temporal Action Segmentation From Timestamp Supervision. Zhe Li, Yazan Abu Farha, Jürgen Gall |
| 2021 | Temporal Context Aggregation Network for Temporal Action Proposal Refinement. Zhiwu Qing, Haisheng Su, Weihao Gan, Dongliang Wang, Wei Wu, Xiang Wang, Yu Qiao, Junjie Yan, Changxin Gao, Nong Sang |
| 2021 | Temporal Modulation Network for Controllable Space-Time Video Super-Resolution. Gang Xu, Jun Xu, Zhen Li, Liang Wang, Xing Sun, Ming-Ming Cheng |
| 2021 | Temporal Query Networks for Fine-Grained Video Understanding. Chuhan Zhang, Ankush Gupta, Andrew Zisserman |
| 2021 | Temporal-Relational CrossTransformers for Few-Shot Action Recognition. Toby Perrett, Alessandro Masullo, Tilo Burghardt, Majid Mirmehdi, Dima Damen |
| 2021 | Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation. M. Saquib Sarfraz, Naila Murray, Vivek Sharma, Ali Diba, Luc Van Gool, Rainer Stiefelhagen |
| 2021 | TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking. N. Dinesh Reddy, Laurent Guigues, Leonid Pishchulin, Jayan Eledath, Srinivasa G. Narasimhan |
| 2021 | Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning. Zhixiang Chi, Yang Wang, Yuanhao Yu, Jin Tang |
| 2021 | TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text. Amanpreet Singh, Guan Pang, Mandy Toh, Jing Huang, Wojciech Galuba, Tal Hassner |
| 2021 | The Affective Growth of Computer Vision. Norman Makoto Su, David J. Crandall |
| 2021 | The Blessings of Unlabeled Background in Untrimmed Videos. Yuan Liu, Jingyuan Chen, Zhenfang Chen, Bing Deng, Jianqiang Huang, Hanwang Zhang |
| 2021 | The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures. Yawei Li, Wen Li, Martin Danelljan, Kai Zhang, Shuhang Gu, Luc Van Gool, Radu Timofte |
| 2021 | The Lottery Ticket Hypothesis for Object Recognition. Sharath Girish, Shishira R. Maiya, Kamal Gupta, Hao Chen, Larry S. Davis, Abhinav Shrivastava |
| 2021 | The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models. Tianlong Chen, Jonathan Frankle, Shiyu Chang, Sijia Liu, Yang Zhang, Michael Carbin, Zhangyang Wang |
| 2021 | The Multi-Temporal Urban Development SpaceNet Dataset. Adam Van Etten, Daniel Hogan, Jesus Martinez-Manso, Jacob Shermeyer, Nicholas Weir, Ryan Lewis |
| 2021 | The Neural Tangent Link Between CNN Denoisers and Non-Local Filters. Julián Tachella, Junqi Tang, Mike E. Davies |
| 2021 | The Spatially-Correlative Loss for Various Image Translation Tasks. Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai |
| 2021 | The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth. Jamie Watson, Oisin Mac Aodha, Victor Prisacariu, Gabriel J. Brostow, Michael Firman |
| 2021 | The Translucent Patch: A Physical and Universal Attack on Object Detectors. Alon Zolfi, Moshe Kravchik, Yuval Elovici, Asaf Shabtai |
| 2021 | There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge. Francisco Rivera Valverde, Juana Valeria Hurtado, Abhinav Valada |
| 2021 | Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers. Antoine Miech, Jean-Baptiste Alayrac, Ivan Laptev, Josef Sivic, Andrew Zisserman |
| 2021 | Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations. Zhihui Li, Lina Yao |
| 2021 | Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation. Lukas Hoyer, Dengxin Dai, Yuhua Chen, Adrian Köring, Suman Saha, Luc Van Gool |
| 2021 | Time Adaptive Recurrent Neural Network. Anil Kag, Venkatesh Saligrama |
| 2021 | Time Lens: Event-Based Video Frame Interpolation. Stepan Tulyakov, Daniel Gehrig, Stamatios Georgoulis, Julius Erbach, Mathias Gehrig, Yuanyou Li, Davide Scaramuzza |
| 2021 | To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels. Yuning Chai, Pei Sun, Jiquan Ngiam, Weiyue Wang, Benjamin Caine, Vijay Vasudevan, Xiao Zhang, Dragomir Anguelov |
| 2021 | Topological Planning With Transformers for Vision-and-Language Navigation. Kevin Chen, Junshen K. Chen, Jo Chuang, Marynel Vázquez, Silvio Savarese |
| 2021 | Toward Accurate and Realistic Outfits Visualization With Attention to Details. Kedan Li, Min Jin Chong, Jeffrey Zhang, Jingen Liu |
| 2021 | Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation. Yunhang Shen, Liujuan Cao, Zhiwei Chen, Feihong Lian, Baochang Zhang, Chi Su, Yongjian Wu, Feiyue Huang, Rongrong Ji |
| 2021 | Towards Accurate 3D Human Motion Prediction From Incomplete Observations. Qiongjie Cui, Huaijiang Sun |
| 2021 | Towards Accurate Text-Based Image Captioning With Content Diversity Exploration. Guanghui Xu, Shuaicheng Niu, Mingkui Tan, Yucheng Luo, Qing Du, Qi Wu |
| 2021 | Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning. Shaoxiang Chen, Yu-Gang Jiang |
| 2021 | Towards Compact CNNs via Collaborative Compression. Yuchao Li, Shaohui Lin, Jianzhuang Liu, Qixiang Ye, Mengdi Wang, Fei Chao, Fan Yang, Jincheng Ma, Qi Tian, Rongrong Ji |
| 2021 | Towards Diverse Paragraph Captioning for Untrimmed Videos. Yuqing Song, Shizhe Chen, Qin Jin |
| 2021 | Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework. Miao Yin, Yang Sui, Siyu Liao, Bo Yuan |
| 2021 | Towards Evaluating and Training Verifiably Robust Neural Networks. Zhaoyang Lyu, Minghao Guo, Tong Wu, Guodong Xu, Kehuan Zhang, Dahua Lin |
| 2021 | Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure. Miao Yin, Siyu Liao, Xiao-Yang Liu, Xiaodong Wang, Bo Yuan |
| 2021 | Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline. Lingzhi He, Hongguang Zhu, Feng Li, Huihui Bai, Runmin Cong, Chunjie Zhang, Chunyu Lin, Meiqin Liu, Yao Zhao |
| 2021 | Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets. Yuan-Hong Liao, Amlan Kar, Sanja Fidler |
| 2021 | Towards High Fidelity Face Relighting With Realistic Shadows. Andrew Z. Hou, Ze Zhang, Michel Sarkis, Ning Bi, Yiying Tong, Xiaoming Liu |
| 2021 | Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search. Yibo Yang, Shan You, Hongyang Li, Fei Wang, Chen Qian, Zhouchen Lin |
| 2021 | Towards Long-Form Video Understanding. Chao-Yuan Wu, Philipp Krähenbühl |
| 2021 | Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark. Xiao Wang, Xiujun Shu, Zhipeng Zhang, Bo Jiang, Yaowei Wang, Yonghong Tian, Feng Wu |
| 2021 | Towards Open World Object Detection. K. J. Joseph, Salman H. Khan, Fahad Shahbaz Khan, Vineeth N. Balasubramanian |
| 2021 | Towards Part-Based Understanding of RGB-D Scans. Alexey Bokhovkin, Vladislav Ishimtsev, Emil Bogomolov, Denis Zorin, Alexey Artemov, Evgeny Burnaev, Angela Dai |
| 2021 | Towards Real-World Blind Face Restoration With Generative Facial Prior. Xintao Wang, Yu Li, Honglun Zhang, Ying Shan |
| 2021 | Towards Robust Classification Model by Counterfactual and Invariant Data Generation. Chun-Hao Chang, George-Alexandru Adam, Anna Goldenberg |
| 2021 | Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes. Zhihang Zhong, Yinqiang Zheng, Imari Sato |
| 2021 | Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges. Qingyong Hu, Bo Yang, Sheikh Khalid, Wen Xiao, Niki Trigoni, Andrew Markham |
| 2021 | Towards Unified Surgical Skill Assessment. Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li |
| 2021 | Track To Detect and Segment: An Online Multi-Object Tracker. Jialian Wu, Jiale Cao, Liangchen Song, Yu Wang, Ming Yang, Junsong Yuan |
| 2021 | Track, Check, Repeat: An EM Approach to Unsupervised Tracking. Adam W. Harley, Yiming Zuo, Jing Wen, Ayush Mangal, Shubhankar Potdar, Ritwick Chaudhry, Katerina Fragkiadaki |
| 2021 | Tracking Pedestrian Heads in Dense Crowd. Ramana Sundararaman, Cedric De Almeida Braga, Éric Marchand, Julien Pettré |
| 2021 | TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors. Simon Suo, Sebastian Regalado, Sergio Casas, Raquel Urtasun |
| 2021 | Training Generative Adversarial Networks in One Stage. Chengchao Shen, Youtan Yin, Xinchao Wang, Xubin Li, Jie Song, Mingli Song |
| 2021 | Training Networks in Null Space of Feature Covariance for Continual Learning. Shipeng Wang, Xiaorong Li, Jian Sun, Zongben Xu |
| 2021 | Trajectory Prediction With Latent Belief Energy-Based Model. Bo Pang, Tianyang Zhao, Xu Xie, Ying Nian Wu |
| 2021 | TransFill: Reference-Guided Image Inpainting by Merging Multiple Color and Spatial Transformations. Yuqian Zhou, Connelly Barnes, Eli Shechtman, Sohrab Amirghodsi |
| 2021 | TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search. Yawen Duan, Xin Chen, Hang Xu, Zewei Chen, Xiaodan Liang, Tong Zhang, Zhenguo Li |
| 2021 | Transferable Query Selection for Active Domain Adaptation. Bo Fu, Zhangjie Cao, Jianmin Wang, Mingsheng Long |
| 2021 | Transferable Semantic Augmentation for Domain Adaptation. Shuang Li, Mixue Xie, Kaixiong Gong, Chi Harold Liu, Yulin Wang, Wei Li |
| 2021 | Transformation Driven Visual Reasoning. Xin Hong, Yanyan Lan, Liang Pang, Jiafeng Guo, Xueqi Cheng |
| 2021 | Transformation Invariant Few-Shot Object Detection. Aoxue Li, Zhenguo Li |
| 2021 | Transformer Interpretability Beyond Attention Visualization. Hila Chefer, Shir Gur, Lior Wolf |
| 2021 | Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking. Ning Wang, Wengang Zhou, Jie Wang, Houqiang Li |
| 2021 | Transformer Tracking. Xin Chen, Bin Yan, Jiawen Zhu, Dong Wang, Xiaoyun Yang, Huchuan Lu |
| 2021 | Transitional Adaptation of Pretrained Models for Visual Storytelling. Youngjae Yu, Jiwan Chung, Heeseung Yun, Jongseok Kim, Gunhee Kim |
| 2021 | Tree-Like Decision Distillation. Jie Song, Haofei Zhang, Xinchao Wang, Mengqi Xue, Ying Chen, Li Sun, Dacheng Tao, Mingli Song |
| 2021 | Triple-Cooperative Video Shadow Detection. Zhihao Chen, Liang Wan, Lei Zhu, Jia Shen, Huazhu Fu, Wennan Liu, Jing Qin |
| 2021 | Troubleshooting Blind Image Quality Models in the Wild. Zhihua Wang, Haotao Wang, Tianlong Chen, Zhangyang Wang, Kede Ma |
| 2021 | Truly Shift-Invariant Convolutional Neural Networks. Anadi Chaman, Ivan Dokmanic |
| 2021 | Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB. Bo Sun, Junchi Yan, Xiao Zhou, Yinqiang Zheng |
| 2021 | Turning Frequency to Resolution: Video Super-Resolution via Event Cameras. Yongcheng Jing, Yiding Yang, Xinchao Wang, Mingli Song, Dacheng Tao |
| 2021 | UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles. Tianjiao Li, Jun Liu, Wei Zhang, Yun Ni, Wenqian Wang, Zhiheng Li |
| 2021 | UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training. Mingyang Zhou, Luowei Zhou, Shuohang Wang, Yu Cheng, Linjie Li, Zhou Yu, Jingjing Liu |
| 2021 | UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers. Zhigang Dai, Bolun Cai, Yugeng Lin, Junying Chen |
| 2021 | UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning. Kunming Luo, Chuan Wang, Shuaicheng Liu, Haoqiang Fan, Jue Wang, Jian Sun |
| 2021 | UV-Net: Learning From Boundary Representations. Pradeep Kumar Jayaraman, Aditya Sanghi, Joseph G. Lambourne, Karl D. D. Willis, Thomas Davies, Hooman Shayani, Nigel J. W. Morris |
| 2021 | Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning. Zhuoran Zheng, Wenqi Ren, Xiaochun Cao, Xiaobin Hu, Tao Wang, Fenglong Song, Xiuyi Jia |
| 2021 | Unbalanced Feature Transport for Exemplar-Based Image Translation. Fangneng Zhan, Yingchen Yu, Kaiwen Cui, Gongjie Zhang, Shijian Lu, Jianxiong Pan, Changgong Zhang, Feiying Ma, Xuansong Xie, Chunyan Miao |
| 2021 | Unbiased Mean Teacher for Cross-Domain Object Detection. Jinhong Deng, Wen Li, Yuhua Chen, Lixin Duan |
| 2021 | Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces. Berk Kaya, Suryansh Kumar, Carlos E. P. de Oliveira, Vittorio Ferrari, Luc Van Gool |
| 2021 | Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection. Wenfei Yang, Tianzhu Zhang, Xiaoyuan Yu, Qi Tian, Yongdong Zhang, Feng Wu |
| 2021 | Uncertainty Reduction for Model Adaptation in Semantic Segmentation. Prabhu Teja Sivaprasad, François Fleuret |
| 2021 | Uncertainty-Aware Camera Pose Estimation From Points and Lines. Alexander Vakhitov, Luis Ferraz, Antonio Agudo, Francesc Moreno-Noguer |
| 2021 | Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection. Aixuan Li, Jing Zhang, Yunqiu Lv, Bowen Liu, Tong Zhang, Yuchao Dai |
| 2021 | Uncertainty-Guided Model Generalization to Unseen Domains. Fengchun Qiao, Xi Peng |
| 2021 | Understanding Failures of Deep Networks via Robust Feature Extraction. Sahil Singla, Besmira Nushi, Shital Shah, Ece Kamar, Eric Horvitz |
| 2021 | Understanding Object Dynamics for Interactive Image-to-Video Synthesis. Andreas Blattmann, Timo Milbich, Michael Dorkenwald, Björn Ommer |
| 2021 | Understanding and Simplifying Perceptual Distances. Dan Amir, Yair Weiss |
| 2021 | Understanding the Behaviour of Contrastive Loss. Feng Wang, Huaping Liu |
| 2021 | Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack. He Wang, Feixiang He, Zhexi Peng, Tianjia Shao, Yong-Liang Yang, Kun Zhou, David Hogg |
| 2021 | UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation. Siddhesh Khandelwal, Raghav Goyal, Leonid Sigal |
| 2021 | Universal Spectral Adversarial Attacks for Deformable Shapes. Arianna Rampini, Franco Pestarini, Luca Cosmo, Simone Melzi, Emanuele Rodolà |
| 2021 | Unpaired Image-to-Image Translation via Latent Energy Transport. Yang Zhao, Changyou Chen |
| 2021 | UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification. Tianyu Zhang, Lingxi Xie, Longhui Wei, Zijie Zhuang, Yongfei Zhang, Bo Li, Qi Tian |
| 2021 | Unsupervised 3D Shape Completion Through GAN Inversion. Junzhe Zhang, Xinyi Chen, Zhongang Cai, Liang Pan, Haiyu Zhao, Shuai Yi, Chai Kiat Yeo, Bo Dai, Chen Change Loy |
| 2021 | Unsupervised Degradation Representation Learning for Blind Super-Resolution. Longguang Wang, Yingqian Wang, Xiaoyu Dong, Qingyu Xu, Jungang Yang, Wei An, Yulan Guo |
| 2021 | Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision. Zhenzhen Weng, Mehmet Giray Ogut, Shai Limonchik, Serena Yeung |
| 2021 | Unsupervised Disentanglement of Linear-Encoded Facial Semantics. Yutong Zheng, Yu-Kai Huang, Ran Tao, Zhiqiang Shen, Marios Savvides |
| 2021 | Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination. Xudong Wang, Ziwei Liu, Stella X. Yu |
| 2021 | Unsupervised Human Pose Estimation Through Transforming Shape Templates. Luca Schmidtke, Athanasios Vlontzos, Simon Ellershaw, Anna Lukens, Tomoki Arichi, Bernhard Kainz |
| 2021 | Unsupervised Hyperbolic Metric Learning. Jiexi Yan, Lei Luo, Cheng Deng, Heng Huang |
| 2021 | Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders. Jiwoong Park, Junho Cho, Hyung Jin Chang, Jin Young Choi |
| 2021 | Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach. Giang Truong, Huu Le, David Suter, Erchuan Zhang, Syed Zulqarnain Gilani |
| 2021 | Unsupervised Learning of 3D Object Categories From Videos in the Wild. Philipp Henzler, Jeremy Reizenstein, Patrick Labatut, Roman Shapovalov, Tobias Ritschel, Andrea Vedaldi, David Novotný |
| 2021 | Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks. Takuhiro Kaneko |
| 2021 | Unsupervised Multi-Source Domain Adaptation Without Access to Source Data. Sk Miraj Ahmed, Dripta S. Raychaudhuri, Sujoy Paul, Samet Oymak, Amit K. Roy-Chowdhury |
| 2021 | Unsupervised Multi-Source Domain Adaptation for Person Re-Identification. Zechen Bai, Zhigang Wang, Jian Wang, Di Hu, Errui Ding |
| 2021 | Unsupervised Object Detection With LIDAR Clues. Hao Tian, Yuntao Chen, Jifeng Dai, Zhaoxiang Zhang, Xizhou Zhu |
| 2021 | Unsupervised Part Segmentation Through Disentangling Appearance and Shape. Shilong Liu, Lei Zhang, Xiao Yang, Hang Su, Jun Zhu |
| 2021 | Unsupervised Pre-Training for Person Re-Identification. Dengpan Fu, Dongdong Chen, Jianmin Bao, Hao Yang, Lu Yuan, Lei Zhang, Houqiang Li, Dong Chen |
| 2021 | Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training. Yunxuan Wei, Shuhang Gu, Yawei Li, Radu Timofte, Longcun Jin, Hengjie Song |
| 2021 | Unsupervised Visual Attention and Invariance for Reinforcement Learning. Xudong Wang, Long Lian, Stella X. Yu |
| 2021 | Unsupervised Visual Representation Learning by Tracking Patches in Video. Guangting Wang, Yizhou Zhou, Chong Luo, Wenxuan Xie, Wenjun Zeng, Zhiwei Xiong |
| 2021 | UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering. Mohamed El Banani, Luya Gao, Justin Johnson |
| 2021 | Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization. Xingjia Pan, Yingguo Gao, Zhiwen Lin, Fan Tang, Weiming Dong, Haolei Yuan, Feiyue Huang, Changsheng Xu |
| 2021 | User-Guided Line Art Flat Filling With Split Filling Mechanism. Lvmin Zhang, Chengze li, Edgar Simo-Serra, Yi Ji, Tien-Tsin Wong, Chunping Liu |
| 2021 | Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias. Stefan Stojanov, Anh Thai, James M. Rehg |
| 2021 | VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts. Matthew J. Vowels, Necati Cihan Camgöz, Richard Bowden |
| 2021 | VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval. Sijie Zhu, Taojiannan Yang, Chen Chen |
| 2021 | VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation. Siyuan Qiao, Yukun Zhu, Hartwig Adam, Alan L. Yuille, Liang-Chieh Chen |
| 2021 | VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization. Seunghwan Choi, Sunghyun Park, Minsoo Lee, Jaegul Choo |
| 2021 | VLN BERT: A Recurrent Vision-and-Language BERT for Navigation. Yicong Hong, Qi Wu, Yuankai Qi, Cristian Rodriguez Opazo, Stephen Gould |
| 2021 | VS-Net: Voting With Segmentation for Visual Localization. Zhaoyang Huang, Han Zhou, Yijin Li, Bangbang Yang, Yan Xu, Xiaowei Zhou, Hujun Bao, Guofeng Zhang, Hongsheng Li |
| 2021 | VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild. Jiaxu Miao, Yunchao Wei, Yu Wu, Chen Liang, Guangrui Li, Yi Yang |
| 2021 | VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning. Jongwon Choi, Kwang Moo Yi, Jihoon Kim, Jinho Choo, Byoungjip Kim, Jin-Yeop Chang, Youngjune Gwon, Hyung Jin Chang |
| 2021 | Variational Pedestrian Detection. Yuang Zhang, Huanyu He, Jianguo Li, Yuxi Li, John See, Weiyao Lin |
| 2021 | Variational Prototype Learning for Deep Face Recognition. Jiankang Deng, Jia Guo, Jing Yang, Alexandros Lattas, Stefanos Zafeiriou |
| 2021 | Variational Relational Point Completion Network. Liang Pan, Xinyi Chen, Zhongang Cai, Junzhe Zhang, Haiyu Zhao, Shuai Yi, Ziwei Liu |
| 2021 | Variational Transformer Networks for Layout Generation. Diego Martín Arroyo, Janis Postels, Federico Tombari |
| 2021 | VarifocalNet: An IoU-Aware Dense Object Detector. Haoyang Zhang, Ying Wang, Feras Dayoub, Niko Sünderhauf |
| 2021 | Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting. Ayan Kumar Bhunia, Pinaki Nath Chowdhury, Yongxin Yang, Timothy M. Hospedales, Tao Xiang, Yi-Zhe Song |
| 2021 | Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing. Wen Shen, Zhihua Wei, Shikun Huang, Binbin Zhang, Panyue Chen, Ping Zhao, Quanshi Zhang |
| 2021 | ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search. Lumin Xu, Yingda Guan, Sheng Jin, Wentao Liu, Chen Qian, Ping Luo, Wanli Ouyang, Xiaogang Wang |
| 2021 | Video Object Segmentation Using Global and Instance Embedding Learning. Wenbin Ge, Xiankai Lu, Jianbing Shen |
| 2021 | Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning. Sangmin Lee, Hak Gu Kim, Dae Hwi Choi, Hyung-Il Kim, Yong Man Ro |
| 2021 | Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling. Yan-Cheng Huang, Yi-Hsin Chen, Cheng-You Lu, Hui-Po Wang, Wen-Hsiao Peng, Ching-Chun Huang |
| 2021 | VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples. Tian Pan, Yibing Song, Tianyu Yang, Wenhao Jiang, Wei Liu |
| 2021 | View Generalization for Single Image Textured 3D Models. Anand Bhattad, Aysegul Dundar, Guilin Liu, Andrew Tao, Bryan Catanzaro |
| 2021 | View-Guided Point Cloud Completion. Xuancheng Zhang, Yutong Feng, Siqi Li, Changqing Zou, Hai Wan, Xibin Zhao, Yandong Guo, Yue Gao |
| 2021 | VinVL: Revisiting Visual Representations in Vision-Language Models. Pengchuan Zhang, Xiujun Li, Xiaowei Hu, Jianwei Yang, Lei Zhang, Lijuan Wang, Yejin Choi, Jianfeng Gao |
| 2021 | VirFace: Enhancing Face Recognition via Unlabeled Shallow Data. Wenyu Li, Tianchu Guo, Pengyu Li, Binghui Chen, Biao Wang, Wangmeng Zuo, Lei Zhang |
| 2021 | VirTex: Learning Visual Representations From Textual Annotations. Karan Desai, Justin Johnson |
| 2021 | Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources. Pengyu Li, Biao Wang, Lei Zhang |
| 2021 | Visual Navigation With Spatial Attention. Bar Mayo, Tamir Hazan, Ayellet Tal |
| 2021 | Visual Room Rearrangement. Luca Weihs, Matt Deitke, Aniruddha Kembhavi, Roozbeh Mottaghi |
| 2021 | Visual Semantic Role Labeling for Video Understanding. Arka Sadhu, Tanmay Gupta, Mark Yatskar, Ram Nevatia, Aniruddha Kembhavi |
| 2021 | VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency. Ruohan Gao, Kristen Grauman |
| 2021 | Visualizing Adapted Knowledge in Domain Transfer. Yunzhong Hou, Liang Zheng |
| 2021 | Visually Informed Binaural Audio Generation without Binaural Audios. Xudong Xu, Hang Zhou, Ziwei Liu, Bo Dai, Xiaogang Wang, Dahua Lin |
| 2021 | VoxelContext-Net: An Octree Based Framework for Point Cloud Compression. Zizheng Que, Guo Lu, Dong Xu |
| 2021 | Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs. Xudong Lin, Gedas Bertasius, Jue Wang, Shih-Fu Chang, Devi Parikh, Lorenzo Torresani |
| 2021 | WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos. Mingfei Gao, Yingbo Zhou, Ran Xu, Richard Socher, Caiming Xiong |
| 2021 | Wasserstein Barycenter for Multi-Source Domain Adaptation. Eduardo Fernandes Montesuma, Fred Maurice Ngolè Mboula |
| 2021 | Wasserstein Contrastive Representation Distillation. Liqun Chen, Dong Wang, Zhe Gan, Jingjing Liu, Ricardo Henao, Lawrence Carin |
| 2021 | Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification. Xuehu Liu, Pingping Zhang, Chenyang Yu, Huchuan Lu, Xiaoyun Yang |
| 2021 | We Are More Than Our Joints: Predicting How 3D Bodies Move. Yan Zhang, Michael J. Black, Siyu Tang |
| 2021 | Weakly Supervised Action Selection Learning in Video. Junwei Ma, Satya Krishna Gorti, Maksims Volkovs, Guangwei Yu |
| 2021 | Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency. Qing Liu, Vignesh Ramanathan, Dhruv Mahajan, Alan L. Yuille, Zhenheng Yang |
| 2021 | Weakly Supervised Learning of Rigid 3D Scene Flow. Zan Gojcic, Or Litany, Andreas Wieser, Leonidas J. Guibas, Tolga Birdal |
| 2021 | Weakly Supervised Video Salient Object Detection. Wangbo Zhao, Jing Zhang, Long Li, Nick Barnes, Nian Liu, Junwei Han |
| 2021 | Weakly-Supervised Instance Segmentation via Class-Agnostic Learning With Salient Images. Xinggang Wang, Jiapei Feng, Bin Hu, Qi Ding, Longjin Ran, Xiaoxin Chen, Wenyu Liu |
| 2021 | Weakly-Supervised Physically Unconstrained Gaze Estimation. Rakshit Sunil Kothari, Shalini De Mello, Umar Iqbal, Wonmin Byeon, Seonwook Park, Jan Kautz |
| 2021 | WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition. Zheng Zhu, Guan Huang, Jiankang Deng, Yun Ye, Junjie Huang, Xinze Chen, Jiagang Zhu, Tian Yang, Jiwen Lu, Dalong Du, Jie Zhou |
| 2021 | What Can Style Transfer and Paintings Do for Model Robustness? Hubert Lin, Mitchell van Zuijlen, Sylvia C. Pont, Maarten W. A. Wijntjes, Kavita Bala |
| 2021 | What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels. Jeonghun Baek, Yusuke Matsui, Kiyoharu Aizawa |
| 2021 | What's in the Image? Explorable Decoding of Compressed Images. Yuval Bahat, Tomer Michaeli |
| 2021 | When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework. Zhizhong Huang, Junping Zhang, Hongming Shan |
| 2021 | When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks. Jiahang Wang, Sheng Jin, Wentao Liu, Weizhong Liu, Chen Qian, Ping Luo |
| 2021 | Where and What? Examining Interpretable Disentangled Representations. Xinqi Zhu, Chang Xu, Dacheng Tao |
| 2021 | Wide-Baseline Multi-Camera Calibration Using Person Re-Identification. Yan Xu, Yu-Jhe Li, Xinshuo Weng, Kris Kitani |
| 2021 | Wide-Baseline Relative Camera Pose Estimation With Directional Learning. Kefan Chen, Noah Snavely, Ameesh Makadia |
| 2021 | Wide-Depth-Range 6D Object Pose Estimation in Space. Yinlin Hu, Sébastien Speierer, Wenzel Jakob, Pascal Fua, Mathieu Salzmann |
| 2021 | XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations. Eunji Kim, Siwon Kim, Minji Seo, Sungroh Yoon |
| 2021 | You Only Look One-Level Feature. Qiang Chen, Yingming Wang, Tong Yang, Xiangyu Zhang, Jian Cheng, Jian Sun |
| 2021 | You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems. Yanru Xiao, Cong Wang |
| 2021 | Your "Flamingo" is My "Bird": Fine-Grained, or Not. Dongliang Chang, Kaiyue Pang, Yixiao Zheng, Zhanyu Ma, Yi-Zhe Song, Jun Guo |
| 2021 | Zero-Shot Adversarial Quantization. Yuang Liu, Wei Zhang, Jun Wang |
| 2021 | Zero-Shot Instance Segmentation. Ye Zheng, Jiahong Wu, Yongqiang Qin, Faen Zhang, Li Cui |
| 2021 | Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model. Aupendu Kar, Sobhan Kanti Dhara, Debashis Sen, Prabir Kumar Biswas |
| 2021 | ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media. Zheng Shi, Ethan Tseng, Mario Bijelic, Werner Ritter, Felix Heide |
| 2021 | Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts. Steve Cruz, Will Hutchcroft, Yuguang Li, Naji Khosravan, Ivaylo Boyadzhiev, Sing Bing Kang |
| 2021 | clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation. Suprosanna Shit, Johannes C. Paetzold, Anjany Sekuboyina, Ivan Ezhov, Alexander Unger, Andrey Zhylka, Josien P. W. Pluim, Ulrich Bauer, Bjoern H. Menze |
| 2021 | i3DMM: Deep Implicit 3D Morphable Model of Human Heads. Tarun Yenamandra, Ayush Tewari, Florian Bernard, Hans-Peter Seidel, Mohamed A. Elgharib, Daniel Cremers, Christian Theobalt |
| 2021 | iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis. Xin Liu, Henglin Shi, Haoyu Chen, Zitong Yu, Xiaobai Li, Guoying Zhao |
| 2021 | iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression. Shifeng Zhang, Chen Zhang, Ning Kang, Zhenguo Li |
| 2021 | img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation. Vitor Albiero, Xingyu Chen, Xi Yin, Guan Pang, Tal Hassner |
| 2021 | pixelNeRF: Neural Radiance Fields From One or Few Images. Alex Yu, Vickie Ye, Matthew Tancik, Angjoo Kanazawa |