CVPR 2021 Open Access Repository

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Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction: Bohan Wu,

Suraj Nair,

Roberto Martin-Martin,

Li Fei-Fei,

Chelsea Finn; [pdf] [supp]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Bohan and Nair, Suraj and Martin-Martin, Roberto and Fei-Fei, Li and Finn, Chelsea}, title = {Greedy Hierarchical Variational Autoencoders for Large-Scale Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2318-2328} }
Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks: Roi Pony,

Itay Naeh,

Shie Mannor; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pony_2021_CVPR, author = {Pony, Roi and Naeh, Itay and Mannor, Shie}, title = {Over-the-Air Adversarial Flickering Attacks Against Video Recognition Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {515-524} }
Person30K: A Dual-Meta Generalization Network for Person Re-Identification: Yan Bai,

Jile Jiao,

Wang Ce,

Jun Liu,

Yihang Lou,

Xuetao Feng,

Ling-Yu Duan; [pdf]
[bibtex]
@InProceedings{Bai_2021_CVPR, author = {Bai, Yan and Jiao, Jile and Ce, Wang and Liu, Jun and Lou, Yihang and Feng, Xuetao and Duan, Ling-Yu}, title = {Person30K: A Dual-Meta Generalization Network for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2123-2132} }
Privacy Preserving Localization and Mapping From Uncalibrated Cameras: Marcel Geppert,

Viktor Larsson,

Pablo Speciale,

Johannes L. Schonberger,

Marc Pollefeys; [pdf] [supp]
[bibtex]
@InProceedings{Geppert_2021_CVPR, author = {Geppert, Marcel and Larsson, Viktor and Speciale, Pablo and Schonberger, Johannes L. and Pollefeys, Marc}, title = {Privacy Preserving Localization and Mapping From Uncalibrated Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1809-1819} }
Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network: Ruicheng Feng,

Chongyi Li,

Huaijin Chen,

Shuai Li,

Chen Change Loy,

Jinwei Gu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Ruicheng and Li, Chongyi and Chen, Huaijin and Li, Shuai and Loy, Chen Change and Gu, Jinwei}, title = {Removing Diffraction Image Artifacts in Under-Display Camera via Dynamic Skip Connection Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {662-671} }
iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression: Shifeng Zhang,

Chen Zhang,

Ning Kang,

Zhenguo Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shifeng and Zhang, Chen and Kang, Ning and Li, Zhenguo}, title = {iVPF: Numerical Invertible Volume Preserving Flow for Efficient Lossless Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {620-629} }
Pose Recognition With Cascade Transformers: Ke Li,

Shijie Wang,

Xiang Zhang,

Yifan Xu,

Weijian Xu,

Zhuowen Tu; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Ke and Wang, Shijie and Zhang, Xiang and Xu, Yifan and Xu, Weijian and Tu, Zhuowen}, title = {Pose Recognition With Cascade Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1944-1953} }
Body Meshes as Points: Jianfeng Zhang,

Dongdong Yu,

Jun Hao Liew,

Xuecheng Nie,

Jiashi Feng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jianfeng and Yu, Dongdong and Liew, Jun Hao and Nie, Xuecheng and Feng, Jiashi}, title = {Body Meshes as Points}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {546-556} }
Style-Aware Normalized Loss for Improving Arbitrary Style Transfer: Jiaxin Cheng,

Ayush Jaiswal,

Yue Wu,

Pradeep Natarajan,

Prem Natarajan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Jiaxin and Jaiswal, Ayush and Wu, Yue and Natarajan, Pradeep and Natarajan, Prem}, title = {Style-Aware Normalized Loss for Improving Arbitrary Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {134-143} }
Enhancing the Transferability of Adversarial Attacks Through Variance Tuning: Xiaosen Wang,

Kun He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xiaosen and He, Kun}, title = {Enhancing the Transferability of Adversarial Attacks Through Variance Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1924-1933} }
BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification: Ruibing Hou,

Hong Chang,

Bingpeng Ma,

Rui Huang,

Shiguang Shan; [pdf]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Ruibing and Chang, Hong and Ma, Bingpeng and Huang, Rui and Shan, Shiguang}, title = {BiCnet-TKS: Learning Efficient Spatial-Temporal Representation for Video Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2014-2023} }
SceneGen: Learning To Generate Realistic Traffic Scenes: Shuhan Tan,

Kelvin Wong,

Shenlong Wang,

Sivabalan Manivasagam,

Mengye Ren,

Raquel Urtasun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Shuhan and Wong, Kelvin and Wang, Shenlong and Manivasagam, Sivabalan and Ren, Mengye and Urtasun, Raquel}, title = {SceneGen: Learning To Generate Realistic Traffic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {892-901} }
Zero-Shot Instance Segmentation: Ye Zheng,

Jiahong Wu,

Yongqiang Qin,

Faen Zhang,

Li Cui; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Ye and Wu, Jiahong and Qin, Yongqiang and Zhang, Faen and Cui, Li}, title = {Zero-Shot Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2593-2602} }
Global Transport for Fluid Reconstruction With Learned Self-Supervision: Erik Franz,

Barbara Solenthaler,

Nils Thuerey; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Franz_2021_CVPR, author = {Franz, Erik and Solenthaler, Barbara and Thuerey, Nils}, title = {Global Transport for Fluid Reconstruction With Learned Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1632-1642} }
Pulsar: Efficient Sphere-Based Neural Rendering: Christoph Lassner,

Michael Zollhofer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lassner_2021_CVPR, author = {Lassner, Christoph and Zollhofer, Michael}, title = {Pulsar: Efficient Sphere-Based Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1440-1449} }
Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification: Peng Wang,

Kai Han,

Xiu-Shen Wei,

Lei Zhang,

Lei Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Peng and Han, Kai and Wei, Xiu-Shen and Zhang, Lei and Wang, Lei}, title = {Contrastive Learning Based Hybrid Networks for Long-Tailed Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {943-952} }
Single-View Robot Pose and Joint Angle Estimation via Render & Compare: Yann Labbe,

Justin Carpentier,

Mathieu Aubry,

Josef Sivic; [pdf] [arXiv]
[bibtex]
@InProceedings{Labbe_2021_CVPR, author = {Labbe, Yann and Carpentier, Justin and Aubry, Mathieu and Sivic, Josef}, title = {Single-View Robot Pose and Joint Angle Estimation via Render \& Compare}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1654-1663} }
Learning the Non-Differentiable Optimization for Blind Super-Resolution: Zheng Hui,

Jie Li,

Xiumei Wang,

Xinbo Gao; [pdf] [supp]
[bibtex]
@InProceedings{Hui_2021_CVPR, author = {Hui, Zheng and Li, Jie and Wang, Xiumei and Gao, Xinbo}, title = {Learning the Non-Differentiable Optimization for Blind Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2093-2102} }
From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation: Chen Li,

Gim Hee Lee; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Chen and Lee, Gim Hee}, title = {From Synthetic to Real: Unsupervised Domain Adaptation for Animal Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1482-1491} }
Mask Guided Matting via Progressive Refinement Network: Qihang Yu,

Jianming Zhang,

He Zhang,

Yilin Wang,

Zhe Lin,

Ning Xu,

Yutong Bai,

Alan Yuille; [pdf] [arXiv]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Qihang and Zhang, Jianming and Zhang, He and Wang, Yilin and Lin, Zhe and Xu, Ning and Bai, Yutong and Yuille, Alan}, title = {Mask Guided Matting via Progressive Refinement Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1154-1163} }
Deep Gradient Projection Networks for Pan-sharpening: Shuang Xu,

Jiangshe Zhang,

Zixiang Zhao,

Kai Sun,

Junmin Liu,

Chunxia Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Shuang and Zhang, Jiangshe and Zhao, Zixiang and Sun, Kai and Liu, Junmin and Zhang, Chunxia}, title = {Deep Gradient Projection Networks for Pan-sharpening}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1366-1375} }
TDN: Temporal Difference Networks for Efficient Action Recognition: Limin Wang,

Zhan Tong,

Bin Ji,

Gangshan Wu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Limin and Tong, Zhan and Ji, Bin and Wu, Gangshan}, title = {TDN: Temporal Difference Networks for Efficient Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1895-1904} }
LiBRe: A Practical Bayesian Approach to Adversarial Detection: Zhijie Deng,

Xiao Yang,

Shizhen Xu,

Hang Su,

Jun Zhu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Zhijie and Yang, Xiao and Xu, Shizhen and Su, Hang and Zhu, Jun}, title = {LiBRe: A Practical Bayesian Approach to Adversarial Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {972-982} }
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; [pdf]
[bibtex]
@InProceedings{Su_2021_CVPR, author = {Su, Hao and Niu, Jianwei and Liu, Xuefeng and Li, Qingfeng and Wan, Ji and Xu, Mingliang and Ren, Tao}, title = {ArtCoder: An End-to-End Method for Generating Scanning-Robust Stylized QR Codes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2277-2286} }
Improving Sign Language Translation With Monolingual Data by Sign Back-Translation: Hao Zhou,

Wengang Zhou,

Weizhen Qi,

Junfu Pu,

Houqiang Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Hao and Zhou, Wengang and Qi, Weizhen and Pu, Junfu and Li, Houqiang}, title = {Improving Sign Language Translation With Monolingual Data by Sign Back-Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1316-1325} }
Sketch, Ground, and Refine: Top-Down Dense Video Captioning: Chaorui Deng,

Shizhe Chen,

Da Chen,

Yuan He,

Qi Wu; [pdf]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Chaorui and Chen, Shizhe and Chen, Da and He, Yuan and Wu, Qi}, title = {Sketch, Ground, and Refine: Top-Down Dense Video Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {234-243} }
Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance: Xu Cao,

Boxin Shi,

Fumio Okura,

Yasuyuki Matsushita; [pdf] [supp]
[bibtex]
@InProceedings{Cao_2021_CVPR, author = {Cao, Xu and Shi, Boxin and Okura, Fumio and Matsushita, Yasuyuki}, title = {Normal Integration via Inverse Plane Fitting With Minimum Point-to-Plane Distance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2382-2391} }
Pixel Codec Avatars: Shugao Ma,

Tomas Simon,

Jason Saragih,

Dawei Wang,

Yuecheng Li,

Fernando De la Torre,

Yaser Sheikh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Shugao and Simon, Tomas and Saragih, Jason and Wang, Dawei and Li, Yuecheng and De la Torre, Fernando and Sheikh, Yaser}, title = {Pixel Codec Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {64-73} }
Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services: Jinyu Tian,

Jiantao Zhou,

Jia Duan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Jinyu and Zhou, Jiantao and Duan, Jia}, title = {Probabilistic Selective Encryption of Convolutional Neural Networks for Hierarchical Services}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2205-2214} }
DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates: Minghua Liu,

Minhyuk Sung,

Radomir Mech,

Hao Su; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Minghua and Sung, Minhyuk and Mech, Radomir and Su, Hao}, title = {DeepMetaHandles: Learning Deformation Meta-Handles of 3D Meshes With Biharmonic Coordinates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12-21} }
Globally Optimal Relative Pose Estimation With Gravity Prior: Yaqing Ding,

Daniel Barath,

Jian Yang,

Hui Kong,

Zuzana Kukelova; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ding_2021_CVPR, author = {Ding, Yaqing and Barath, Daniel and Yang, Jian and Kong, Hui and Kukelova, Zuzana}, title = {Globally Optimal Relative Pose Estimation With Gravity Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {394-403} }
Mutual CRF-GNN for Few-Shot Learning: Shixiang Tang,

Dapeng Chen,

Lei Bai,

Kaijian Liu,

Yixiao Ge,

Wanli Ouyang; [pdf] [supp]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Shixiang and Chen, Dapeng and Bai, Lei and Liu, Kaijian and Ge, Yixiao and Ouyang, Wanli}, title = {Mutual CRF-GNN for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2329-2339} }
DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets: Jianpeng Zhang,

Yutong Xie,

Yong Xia,

Chunhua Shen; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jianpeng and Xie, Yutong and Xia, Yong and Shen, Chunhua}, title = {DoDNet: Learning To Segment Multi-Organ and Tumors From Multiple Partially Labeled Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1195-1204} }
3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding: Shengheng Deng,

Xun Xu,

Chaozheng Wu,

Ke Chen,

Kui Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Shengheng and Xu, Xun and Wu, Chaozheng and Chen, Ke and Jia, Kui}, title = {3D AffordanceNet: A Benchmark for Visual Object Affordance Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1778-1787} }
Deep Implicit Templates for 3D Shape Representation: Zerong Zheng,

Tao Yu,

Qionghai Dai,

Yebin Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Zerong and Yu, Tao and Dai, Qionghai and Liu, Yebin}, title = {Deep Implicit Templates for 3D Shape Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1429-1439} }
Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision: Xiaokang Chen,

Yuhui Yuan,

Gang Zeng,

Jingdong Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xiaokang and Yuan, Yuhui and Zeng, Gang and Wang, Jingdong}, title = {Semi-Supervised Semantic Segmentation With Cross Pseudo Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2613-2622} }
Ranking Neural Checkpoints: Yandong Li,

Xuhui Jia,

Ruoxin Sang,

Yukun Zhu,

Bradley Green,

Liqiang Wang,

Boqing Gong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yandong and Jia, Xuhui and Sang, Ruoxin and Zhu, Yukun and Green, Bradley and Wang, Liqiang and Gong, Boqing}, title = {Ranking Neural Checkpoints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2663-2673} }
Divergence Optimization for Noisy Universal Domain Adaptation: Qing Yu,

Atsushi Hashimoto,

Yoshitaka Ushiku; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yu_2021_CVPR, author = {Yu, Qing and Hashimoto, Atsushi and Ushiku, Yoshitaka}, title = {Divergence Optimization for Noisy Universal Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2515-2524} }
Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing: Yu Wu,

Yi Yang; [pdf]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Yu and Yang, Yi}, title = {Exploring Heterogeneous Clues for Weakly-Supervised Audio-Visual Video Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1326-1335} }
PAUL: Procrustean Autoencoder for Unsupervised Lifting: Chaoyang Wang,

Simon Lucey; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Chaoyang and Lucey, Simon}, title = {PAUL: Procrustean Autoencoder for Unsupervised Lifting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {434-443} }
Faster Meta Update Strategy for Noise-Robust Deep Learning: Youjiang Xu,

Linchao Zhu,

Lu Jiang,

Yi Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Youjiang and Zhu, Linchao and Jiang, Lu and Yang, Yi}, title = {Faster Meta Update Strategy for Noise-Robust Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {144-153} }
ContactOpt: Optimizing Contact To Improve Grasps: Patrick Grady,

Chengcheng Tang,

Christopher D. Twigg,

Minh Vo,

Samarth Brahmbhatt,

Charles C. Kemp; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Grady_2021_CVPR, author = {Grady, Patrick and Tang, Chengcheng and Twigg, Christopher D. and Vo, Minh and Brahmbhatt, Samarth and Kemp, Charles C.}, title = {ContactOpt: Optimizing Contact To Improve Grasps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1471-1481} }
Source-Free Domain Adaptation for Semantic Segmentation: Yuang Liu,

Wei Zhang,

Jun Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yuang and Zhang, Wei and Wang, Jun}, title = {Source-Free Domain Adaptation for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1215-1224} }
Depth From Camera Motion and Object Detection: Brent A. Griffin,

Jason J. Corso; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Griffin_2021_CVPR, author = {Griffin, Brent A. and Corso, Jason J.}, title = {Depth From Camera Motion and Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1397-1406} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liang_2021_CVPR, author = {Liang, Jie and Zeng, Hui and Cui, Miaomiao and Xie, Xuansong and Zhang, Lei}, title = {PPR10K: A Large-Scale Portrait Photo Retouching Dataset With Human-Region Mask and Group-Level Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {653-661} }
Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation: Yapeng Tian,

Di Hu,

Chenliang Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Yapeng and Hu, Di and Xu, Chenliang}, title = {Cyclic Co-Learning of Sounding Object Visual Grounding and Sound Separation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2745-2754} }
Beyond Static Features for Temporally Consistent 3D Human Pose and Shape From a Video: Hongsuk Choi,

Gyeongsik Moon,

Ju Yong Chang,

Kyoung Mu Lee; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Hongsuk and Moon, Gyeongsik and Chang, Ju Yong and Lee, Kyoung Mu}, title = {Beyond Static Features for Temporally Consistent 3D Human Pose and Shape From a Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1964-1973} }
Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations: Umberto Michieli,

Pietro Zanuttigh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Michieli_2021_CVPR, author = {Michieli, Umberto and Zanuttigh, Pietro}, title = {Continual Semantic Segmentation via Repulsion-Attraction of Sparse and Disentangled Latent Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1114-1124} }
Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising: Tongyao Pang,

Huan Zheng,

Yuhui Quan,

Hui Ji; [pdf] [supp]
[bibtex]
@InProceedings{Pang_2021_CVPR, author = {Pang, Tongyao and Zheng, Huan and Quan, Yuhui and Ji, Hui}, title = {Recorrupted-to-Recorrupted: Unsupervised Deep Learning for Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2043-2052} }
Reconsidering Representation Alignment for Multi-View Clustering: Daniel J. Trosten,

Sigurd Lokse,

Robert Jenssen,

Michael Kampffmeyer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Trosten_2021_CVPR, author = {Trosten, Daniel J. and Lokse, Sigurd and Jenssen, Robert and Kampffmeyer, Michael}, title = {Reconsidering Representation Alignment for Multi-View Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1255-1265} }
TransFill: Reference-Guided Image Inpainting by Merging Multiple Color and Spatial Transformations: Yuqian Zhou,

Connelly Barnes,

Eli Shechtman,

Sohrab Amirghodsi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yuqian and Barnes, Connelly and Shechtman, Eli and Amirghodsi, Sohrab}, title = {TransFill: Reference-Guided Image Inpainting by Merging Multiple Color and Spatial Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2266-2276} }
Bi-GCN: Binary Graph Convolutional Network: Junfu Wang,

Yunhong Wang,

Zhen Yang,

Liang Yang,

Yuanfang Guo; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Junfu and Wang, Yunhong and Yang, Zhen and Yang, Liang and Guo, Yuanfang}, title = {Bi-GCN: Binary Graph Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1561-1570} }
Iterative Filter Adaptive Network for Single Image Defocus Deblurring: Junyong Lee,

Hyeongseok Son,

Jaesung Rim,

Sunghyun Cho,

Seungyong Lee; [pdf] [supp] [arXiv ]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Junyong and Son, Hyeongseok and Rim, Jaesung and Cho, Sunghyun and Lee, Seungyong}, title = {Iterative Filter Adaptive Network for Single Image Defocus Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2034-2042} }
UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning: Kunming Luo,

Chuan Wang,

Shuaicheng Liu,

Haoqiang Fan,

Jue Wang,

Jian Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Kunming and Wang, Chuan and Liu, Shuaicheng and Fan, Haoqiang and Wang, Jue and Sun, Jian}, title = {UPFlow: Upsampling Pyramid for Unsupervised Optical Flow Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1045-1054} }
OTA: Optimal Transport Assignment for Object Detection: Zheng Ge,

Songtao Liu,

Zeming Li,

Osamu Yoshie,

Jian Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ge_2021_CVPR, author = {Ge, Zheng and Liu, Songtao and Li, Zeming and Yoshie, Osamu and Sun, Jian}, title = {OTA: Optimal Transport Assignment for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {303-312} }
Skeleton Merger: An Unsupervised Aligned Keypoint Detector: Ruoxi Shi,

Zhengrong Xue,

Yang You,

Cewu Lu; [pdf] [arXiv]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Ruoxi and Xue, Zhengrong and You, Yang and Lu, Cewu}, title = {Skeleton Merger: An Unsupervised Aligned Keypoint Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {43-52} }
Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency: Xin Lai,

Zhuotao Tian,

Li Jiang,

Shu Liu,

Hengshuang Zhao,

Liwei Wang,

Jiaya Jia; [pdf] [supp]
[bibtex]
@InProceedings{Lai_2021_CVPR, author = {Lai, Xin and Tian, Zhuotao and Jiang, Li and Liu, Shu and Zhao, Hengshuang and Wang, Liwei and Jia, Jiaya}, title = {Semi-Supervised Semantic Segmentation With Directional Context-Aware Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1205-1214} }
Incremental Few-Shot Instance Segmentation: Dan Andrei Ganea,

Bas Boom,

Ronald Poppe; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ganea_2021_CVPR, author = {Ganea, Dan Andrei and Boom, Bas and Poppe, Ronald}, title = {Incremental Few-Shot Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1185-1194} }
Mining Better Samples for Contrastive Learning of Temporal Correspondence: Sangryul Jeon,

Dongbo Min,

Seungryong Kim,

Kwanghoon Sohn; [pdf] [supp]
[bibtex]
@InProceedings{Jeon_2021_CVPR, author = {Jeon, Sangryul and Min, Dongbo and Kim, Seungryong and Sohn, Kwanghoon}, title = {Mining Better Samples for Contrastive Learning of Temporal Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1034-1044} }
Exemplar-Based Open-Set Panoptic Segmentation Network: Jaedong Hwang,

Seoung Wug Oh,

Joon-Young Lee,

Bohyung Han; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hwang_2021_CVPR, author = {Hwang, Jaedong and Oh, Seoung Wug and Lee, Joon-Young and Han, Bohyung}, title = {Exemplar-Based Open-Set Panoptic Segmentation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1175-1184} }
Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection: Jiacheng Cheng,

Nuno Vasconcelos; [pdf] [supp]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Jiacheng and Vasconcelos, Nuno}, title = {Learning Deep Classifiers Consistent With Fine-Grained Novelty Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1664-1673} }
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; [pdf] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Yuan-Ting and Wang, Jiahong and Yeh, Raymond A. and Schwing, Alexander G.}, title = {SAIL-VOS 3D: A Synthetic Dataset and Baselines for Object Detection and 3D Mesh Reconstruction From Video Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1418-1428} }
Deep RGB-D Saliency Detection With Depth-Sensitive Attention and Automatic Multi-Modal Fusion: Peng Sun,

Wenhu Zhang,

Huanyu Wang,

Songyuan Li,

Xi Li; [pdf] [supp]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Peng and Zhang, Wenhu and Wang, Huanyu and Li, Songyuan and Li, Xi}, title = {Deep RGB-D Saliency Detection With Depth-Sensitive Attention and Automatic Multi-Modal Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1407-1417} }
Understanding the Behaviour of Contrastive Loss: Feng Wang,

Huaping Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Feng and Liu, Huaping}, title = {Understanding the Behaviour of Contrastive Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2495-2504} }
Dual Contradistinctive Generative Autoencoder: Gaurav Parmar,

Dacheng Li,

Kwonjoon Lee,

Zhuowen Tu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Parmar_2021_CVPR, author = {Parmar, Gaurav and Li, Dacheng and Lee, Kwonjoon and Tu, Zhuowen}, title = {Dual Contradistinctive Generative Autoencoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {823-832} }
Semantic-Aware Video Text Detection: Wei Feng,

Fei Yin,

Xu-Yao Zhang,

Cheng-Lin Liu; [pdf]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Wei and Yin, Fei and Zhang, Xu-Yao and Liu, Cheng-Lin}, title = {Semantic-Aware Video Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1695-1705} }
Image Change Captioning by Learning From an Auxiliary Task: Mehrdad Hosseinzadeh,

Yang Wang; [pdf]
[bibtex]
@InProceedings{Hosseinzadeh_2021_CVPR, author = {Hosseinzadeh, Mehrdad and Wang, Yang}, title = {Image Change Captioning by Learning From an Auxiliary Task}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2725-2734} }
FVC: A New Framework Towards Deep Video Compression in Feature Space: Zhihao Hu,

Guo Lu,

Dong Xu; [pdf] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Zhihao and Lu, Guo and Xu, Dong}, title = {FVC: A New Framework Towards Deep Video Compression in Feature Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1502-1511} }
Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning: Zhaowei Cai,

Avinash Ravichandran,

Subhransu Maji,

Charless Fowlkes,

Zhuowen Tu,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cai_2021_CVPR, author = {Cai, Zhaowei and Ravichandran, Avinash and Maji, Subhransu and Fowlkes, Charless and Tu, Zhuowen and Soatto, Stefano}, title = {Exponential Moving Average Normalization for Self-Supervised and Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {194-203} }
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; [pdf] [supp]
[bibtex]
@InProceedings{Kwon_2021_CVPR, author = {Kwon, Kinam and Kang, Eunhee and Lee, Sangwon and Lee, Su-Jin and Lee, Hyong-Euk and Yoo, ByungIn and Han, Jae-Joon}, title = {Controllable Image Restoration for Under-Display Camera in Smartphones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2073-2082} }
Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification: Xudong Tian,

Zhizhong Zhang,

Shaohui Lin,

Yanyun Qu,

Yuan Xie,

Lizhuang Ma; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Xudong and Zhang, Zhizhong and Lin, Shaohui and Qu, Yanyun and Xie, Yuan and Ma, Lizhuang}, title = {Farewell to Mutual Information: Variational Distillation for Cross-Modal Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1522-1531} }
LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces From Video Using Pose and Lighting Normalization: Avisek Lahiri,

Vivek Kwatra,

Christian Frueh,

John Lewis,

Chris Bregler; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lahiri_2021_CVPR, author = {Lahiri, Avisek and Kwatra, Vivek and Frueh, Christian and Lewis, John and Bregler, Chris}, title = {LipSync3D: Data-Efficient Learning of Personalized 3D Talking Faces From Video Using Pose and Lighting Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2755-2764} }
Quasi-Dense Similarity Learning for Multiple Object Tracking: Jiangmiao Pang,

Linlu Qiu,

Xia Li,

Haofeng Chen,

Qi Li,

Trevor Darrell,

Fisher Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pang_2021_CVPR, author = {Pang, Jiangmiao and Qiu, Linlu and Li, Xia and Chen, Haofeng and Li, Qi and Darrell, Trevor and Yu, Fisher}, title = {Quasi-Dense Similarity Learning for Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {164-173} }
Distilling Object Detectors via Decoupled Features: Jianyuan Guo,

Kai Han,

Yunhe Wang,

Han Wu,

Xinghao Chen,

Chunjing Xu,

Chang Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Jianyuan and Han, Kai and Wang, Yunhe and Wu, Han and Chen, Xinghao and Xu, Chunjing and Xu, Chang}, title = {Distilling Object Detectors via Decoupled Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2154-2164} }
Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses: Yiming Qian,

Hao Zhang,

Yasutaka Furukawa; [pdf] [supp]
[bibtex]
@InProceedings{Qian_2021_CVPR, author = {Qian, Yiming and Zhang, Hao and Furukawa, Yasutaka}, title = {Roof-GAN: Learning To Generate Roof Geometry and Relations for Residential Houses}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2796-2805} }
NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization: Tien-Ju Yang,

Yi-Lun Liao,

Vivienne Sze; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Tien-Ju and Liao, Yi-Lun and Sze, Vivienne}, title = {NetAdaptV2: Efficient Neural Architecture Search With Fast Super-Network Training and Architecture Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2402-2411} }
PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification: Jianan Zhao,

Fengliang Qi,

Guangyu Ren,

Lin Xu; [pdf] [supp]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Jianan and Qi, Fengliang and Ren, Guangyu and Xu, Lin}, title = {PhD Learning: Learning With Pompeiu-Hausdorff Distances for Video-Based Vehicle Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2225-2235} }
KeepAugment: A Simple Information-Preserving Data Augmentation Approach: Chengyue Gong,

Dilin Wang,

Meng Li,

Vikas Chandra,

Qiang Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Gong_2021_CVPR, author = {Gong, Chengyue and Wang, Dilin and Li, Meng and Chandra, Vikas and Liu, Qiang}, title = {KeepAugment: A Simple Information-Preserving Data Augmentation Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1055-1064} }
Reinforced Attention for Few-Shot Learning and Beyond: Jie Hong,

Pengfei Fang,

Weihao Li,

Tong Zhang,

Christian Simon,

Mehrtash Harandi,

Lars Petersson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Jie and Fang, Pengfei and Li, Weihao and Zhang, Tong and Simon, Christian and Harandi, Mehrtash and Petersson, Lars}, title = {Reinforced Attention for Few-Shot Learning and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {913-923} }
HOTR: End-to-End Human-Object Interaction Detection With Transformers: Bumsoo Kim,

Junhyun Lee,

Jaewoo Kang,

Eun-Sol Kim,

Hyunwoo J. Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Bumsoo and Lee, Junhyun and Kang, Jaewoo and Kim, Eun-Sol and Kim, Hyunwoo J.}, title = {HOTR: End-to-End Human-Object Interaction Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {74-83} }
Triple-Cooperative Video Shadow Detection: Zhihao Chen,

Liang Wan,

Lei Zhu,

Jia Shen,

Huazhu Fu,

Wennan Liu,

Jing Qin; [pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zhihao and Wan, Liang and Zhu, Lei and Shen, Jia and Fu, Huazhu and Liu, Wennan and Qin, Jing}, title = {Triple-Cooperative Video Shadow Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2715-2724} }
Automated Log-Scale Quantization for Low-Cost Deep Neural Networks: Sangyun Oh,

Hyeonuk Sim,

Sugil Lee,

Jongeun Lee; [pdf] [supp]
[bibtex]
@InProceedings{Oh_2021_CVPR, author = {Oh, Sangyun and Sim, Hyeonuk and Lee, Sugil and Lee, Jongeun}, title = {Automated Log-Scale Quantization for Low-Cost Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {742-751} }
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; [pdf]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Jianyuan and Han, Kai and Wu, Han and Zhang, Chao and Chen, Xinghao and Xu, Chunjing and Xu, Chang and Wang, Yunhe}, title = {Positive-Unlabeled Data Purification in the Wild for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2653-2662} }
ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows: Jie An,

Siyu Huang,

Yibing Song,

Dejing Dou,

Wei Liu,

Jiebo Luo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{An_2021_CVPR, author = {An, Jie and Huang, Siyu and Song, Yibing and Dou, Dejing and Liu, Wei and Luo, Jiebo}, title = {ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {862-871} }
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; [pdf] [supp]
[bibtex]
@InProceedings{Cruz_2021_CVPR, author = {Cruz, Steve and Hutchcroft, Will and Li, Yuguang and Khosravan, Naji and Boyadzhiev, Ivaylo and Kang, Sing Bing}, title = {Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2133-2143} }
Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization: Mathieu Serrurier,

Franck Mamalet,

Alberto Gonzalez-Sanz,

Thibaut Boissin,

Jean-Michel Loubes,

Eustasio del Barrio; [pdf] [supp]
[bibtex]
@InProceedings{Serrurier_2021_CVPR, author = {Serrurier, Mathieu and Mamalet, Franck and Gonzalez-Sanz, Alberto and Boissin, Thibaut and Loubes, Jean-Michel and del Barrio, Eustasio}, title = {Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {505-514} }
Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation: Mengyao Zhai,

Lei Chen,

Greg Mori; [pdf]
[bibtex]
@InProceedings{Zhai_2021_CVPR, author = {Zhai, Mengyao and Chen, Lei and Mori, Greg}, title = {Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2246-2255} }
CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback: Seungmin Lee,

Dongwan Kim,

Bohyung Han; [pdf] [supp]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Seungmin and Kim, Dongwan and Han, Bohyung}, title = {CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {802-812} }
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; [pdf] [arXiv]
[bibtex]
@InProceedings{Qing_2021_CVPR, author = {Qing, Zhiwu and Su, Haisheng and Gan, Weihao and Wang, Dongliang and Wu, Wei and Wang, Xiang and Qiao, Yu and Yan, Junjie and Gao, Changxin and Sang, Nong}, title = {Temporal Context Aggregation Network for Temporal Action Proposal Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {485-494} }
GANmut: Learning Interpretable Conditional Space for Gamut of Emotions: Stefano d'Apolito,

Danda Pani Paudel,

Zhiwu Huang,

Andres Romero,

Luc Van Gool; [pdf] [supp]
[bibtex]
@InProceedings{d'Apolito_2021_CVPR, author = {d'Apolito, Stefano and Paudel, Danda Pani and Huang, Zhiwu and Romero, Andres and Van Gool, Luc}, title = {GANmut: Learning Interpretable Conditional Space for Gamut of Emotions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {568-577} }
Mixed-Privacy Forgetting in Deep Networks: Aditya Golatkar,

Alessandro Achille,

Avinash Ravichandran,

Marzia Polito,

Stefano Soatto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Golatkar_2021_CVPR, author = {Golatkar, Aditya and Achille, Alessandro and Ravichandran, Avinash and Polito, Marzia and Soatto, Stefano}, title = {Mixed-Privacy Forgetting in Deep Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {792-801} }
TediGAN: Text-Guided Diverse Face Image Generation and Manipulation: Weihao Xia,

Yujiu Yang,

Jing-Hao Xue,

Baoyuan Wu; [pdf] [arXiv]
[bibtex]
@InProceedings{Xia_2021_CVPR, author = {Xia, Weihao and Yang, Yujiu and Xue, Jing-Hao and Wu, Baoyuan}, title = {TediGAN: Text-Guided Diverse Face Image Generation and Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2256-2265} }
Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty: Bingbing Zhuang,

Manmohan Chandraker; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhuang_2021_CVPR, author = {Zhuang, Bingbing and Chandraker, Manmohan}, title = {Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {32-42} }
Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction: Aljaz Bozic,

Pablo Palafox,

Michael Zollhofer,

Justus Thies,

Angela Dai,

Matthias Niessner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bozic_2021_CVPR, author = {Bozic, Aljaz and Palafox, Pablo and Zollhofer, Michael and Thies, Justus and Dai, Angela and Niessner, Matthias}, title = {Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1450-1459} }
BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation: Jungbeom Lee,

Jihun Yi,

Chaehun Shin,

Sungroh Yoon; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jungbeom and Yi, Jihun and Shin, Chaehun and Yoon, Sungroh}, title = {BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2643-2652} }
Single-Stage Instance Shadow Detection With Bidirectional Relation Learning: Tianyu Wang,

Xiaowei Hu,

Chi-Wing Fu,

Pheng-Ann Heng; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Tianyu and Hu, Xiaowei and Fu, Chi-Wing and Heng, Pheng-Ann}, title = {Single-Stage Instance Shadow Detection With Bidirectional Relation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1-11} }
Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion: Shi Qiu,

Saeed Anwar,

Nick Barnes; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qiu_2021_CVPR, author = {Qiu, Shi and Anwar, Saeed and Barnes, Nick}, title = {Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1757-1767} }
Learning Graph Embeddings for Compositional Zero-Shot Learning: Muhammad Ferjad Naeem,

Yongqin Xian,

Federico Tombari,

Zeynep Akata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Naeem_2021_CVPR, author = {Naeem, Muhammad Ferjad and Xian, Yongqin and Tombari, Federico and Akata, Zeynep}, title = {Learning Graph Embeddings for Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {953-962} }
Zero-Shot Adversarial Quantization: Yuang Liu,

Wei Zhang,

Jun Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yuang and Zhang, Wei and Wang, Jun}, title = {Zero-Shot Adversarial Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1512-1521} }
Privacy-Preserving Collaborative Learning With Automatic Transformation Search: Wei Gao,

Shangwei Guo,

Tianwei Zhang,

Han Qiu,

Yonggang Wen,

Yang Liu; [pdf] [arXiv]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Wei and Guo, Shangwei and Zhang, Tianwei and Qiu, Han and Wen, Yonggang and Liu, Yang}, title = {Privacy-Preserving Collaborative Learning With Automatic Transformation Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {114-123} }
Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval: Yawen Zeng,

Da Cao,

Xiaochi Wei,

Meng Liu,

Zhou Zhao,

Zheng Qin; [pdf]
[bibtex]
@InProceedings{Zeng_2021_CVPR, author = {Zeng, Yawen and Cao, Da and Wei, Xiaochi and Liu, Meng and Zhao, Zhou and Qin, Zheng}, title = {Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2215-2224} }
Limitations of Post-Hoc Feature Alignment for Robustness: Collin Burns,

Jacob Steinhardt; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Burns_2021_CVPR, author = {Burns, Collin and Steinhardt, Jacob}, title = {Limitations of Post-Hoc Feature Alignment for Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2525-2533} }
Roses Are Red, Violets Are Blue... but Should VQA Expect Them To?: Corentin Kervadec,

Grigory Antipov,

Moez Baccouche,

Christian Wolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kervadec_2021_CVPR, author = {Kervadec, Corentin and Antipov, Grigory and Baccouche, Moez and Wolf, Christian}, title = {Roses Are Red, Violets Are Blue... but Should VQA Expect Them To?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2776-2785} }
UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers: Zhigang Dai,

Bolun Cai,

Yugeng Lin,

Junying Chen; [pdf] [supp]
[bibtex]
@InProceedings{Dai_2021_CVPR, author = {Dai, Zhigang and Cai, Bolun and Lin, Yugeng and Chen, Junying}, title = {UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1601-1610} }
CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement: Noranart Vesdapunt,

Baoyuan Wang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Vesdapunt_2021_CVPR, author = {Vesdapunt, Noranart and Wang, Baoyuan}, title = {CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1674-1684} }
Efficient Regional Memory Network for Video Object Segmentation: Haozhe Xie,

Hongxun Yao,

Shangchen Zhou,

Shengping Zhang,

Wenxiu Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Haozhe and Yao, Hongxun and Zhou, Shangchen and Zhang, Shengping and Sun, Wenxiu}, title = {Efficient Regional Memory Network for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1286-1295} }
Discovering Relationships Between Object Categories via Universal Canonical Maps: Natalia Neverova,

Artsiom Sanakoyeu,

Patrick Labatut,

David Novotny,

Andrea Vedaldi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Neverova_2021_CVPR, author = {Neverova, Natalia and Sanakoyeu, Artsiom and Labatut, Patrick and Novotny, David and Vedaldi, Andrea}, title = {Discovering Relationships Between Object Categories via Universal Canonical Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {404-413} }
Rethinking and Improving the Robustness of Image Style Transfer: Pei Wang,

Yijun Li,

Nuno Vasconcelos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Pei and Li, Yijun and Vasconcelos, Nuno}, title = {Rethinking and Improving the Robustness of Image Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {124-133} }
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; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Anguo and Gao, Yueming and Niu, Yuzhen and Liu, Wenxi and Zhou, Yongcheng}, title = {Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {598-607} }
GAIA: A Transfer Learning System of Object Detection That Fits Your Needs: Xingyuan Bu,

Junran Peng,

Junjie Yan,

Tieniu Tan,

Zhaoxiang Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bu_2021_CVPR, author = {Bu, Xingyuan and Peng, Junran and Yan, Junjie and Tan, Tieniu and Zhang, Zhaoxiang}, title = {GAIA: A Transfer Learning System of Object Detection That Fits Your Needs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {274-283} }
Learning To Associate Every Segment for Video Panoptic Segmentation: Sanghyun Woo,

Dahun Kim,

Joon-Young Lee,

In So Kweon; [pdf] [arXiv]
[bibtex]
@InProceedings{Woo_2021_CVPR, author = {Woo, Sanghyun and Kim, Dahun and Lee, Joon-Young and Kweon, In So}, title = {Learning To Associate Every Segment for Video Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2705-2714} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ge_2021_CVPR, author = {Ge, Yunhao and Xiao, Yao and Xu, Zhi and Zheng, Meng and Karanam, Srikrishna and Chen, Terrence and Itti, Laurent and Wu, Ziyan}, title = {A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2195-2204} }
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; [pdf] [arXiv]
[bibtex]
@InProceedings{Yao_2021_CVPR, author = {Yao, Yazhou and Chen, Tao and Xie, Guo-Sen and Zhang, Chuanyi and Shen, Fumin and Wu, Qi and Tang, Zhenmin and Zhang, Jian}, title = {Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2623-2632} }
Bridging the Visual Gap: Wide-Range Image Blending: Chia-Ni Lu,

Ya-Chu Chang,

Wei-Chen Chiu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lu_2021_CVPR, author = {Lu, Chia-Ni and Chang, Ya-Chu and Chiu, Wei-Chen}, title = {Bridging the Visual Gap: Wide-Range Image Blending}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {843-851} }
StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision: Yang Hong,

Juyong Zhang,

Boyi Jiang,

Yudong Guo,

Ligang Liu,

Hujun Bao; [pdf] [arXiv]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Yang and Zhang, Juyong and Jiang, Boyi and Guo, Yudong and Liu, Ligang and Bao, Hujun}, title = {StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {535-545} }
Debiased Subjective Assessment of Real-World Image Enhancement: Peibei Cao,

Zhangyang Wang,

Kede Ma; [pdf] [arXiv]
[bibtex]
@InProceedings{Cao_2021_CVPR, author = {Cao, Peibei and Wang, Zhangyang and Ma, Kede}, title = {Debiased Subjective Assessment of Real-World Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {711-721} }
Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation: Hugo Germain,

Vincent Lepetit,

Guillaume Bourmaud; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Germain_2021_CVPR, author = {Germain, Hugo and Lepetit, Vincent and Bourmaud, Guillaume}, title = {Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {414-423} }
StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks: Kai Fischer,

Martin Simon,

Florian Olsner,

Stefan Milz,

Horst-Michael Gross,

Patrick Mader; [pdf]
[bibtex]
@InProceedings{Fischer_2021_CVPR, author = {Fischer, Kai and Simon, Martin and Olsner, Florian and Milz, Stefan and Gross, Horst-Michael and Mader, Patrick}, title = {StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {313-323} }
HoHoNet: 360 Indoor Holistic Understanding With Latent Horizontal Features: Cheng Sun,

Min Sun,

Hwann-Tzong Chen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Cheng and Sun, Min and Chen, Hwann-Tzong}, title = {HoHoNet: 360 Indoor Holistic Understanding With Latent Horizontal Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2573-2582} }
Learning To Recover 3D Scene Shape From a Single Image: Wei Yin,

Jianming Zhang,

Oliver Wang,

Simon Niklaus,

Long Mai,

Simon Chen,

Chunhua Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yin_2021_CVPR, author = {Yin, Wei and Zhang, Jianming and Wang, Oliver and Niklaus, Simon and Mai, Long and Chen, Simon and Shen, Chunhua}, title = {Learning To Recover 3D Scene Shape From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {204-213} }
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; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Wei and Jia, Xi and Chang, Hyung Jin and Duan, Jinming and Shen, Linlin and Leonardis, Ales}, title = {FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1581-1590} }
Unsupervised Human Pose Estimation Through Transforming Shape Templates: Luca Schmidtke,

Athanasios Vlontzos,

Simon Ellershaw,

Anna Lukens,

Tomoki Arichi,

Bernhard Kainz; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Schmidtke_2021_CVPR, author = {Schmidtke, Luca and Vlontzos, Athanasios and Ellershaw, Simon and Lukens, Anna and Arichi, Tomoki and Kainz, Bernhard}, title = {Unsupervised Human Pose Estimation Through Transforming Shape Templates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2484-2494} }
Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship: Jing Wang,

Jinhui Tang,

Mingkun Yang,

Xiang Bai,

Jiebo Luo; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jing and Tang, Jinhui and Yang, Mingkun and Bai, Xiang and Luo, Jiebo}, title = {Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1306-1315} }
Learning Monocular 3D Reconstruction of Articulated Categories From Motion: Filippos Kokkinos,

Iasonas Kokkinos; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kokkinos_2021_CVPR, author = {Kokkinos, Filippos and Kokkinos, Iasonas}, title = {Learning Monocular 3D Reconstruction of Articulated Categories From Motion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1737-1746} }
RankDetNet: Delving Into Ranking Constraints for Object Detection: Ji Liu,

Dong Li,

Rongzhang Zheng,

Lu Tian,

Yi Shan; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Ji and Li, Dong and Zheng, Rongzhang and Tian, Lu and Shan, Yi}, title = {RankDetNet: Delving Into Ranking Constraints for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {264-273} }
Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments: Zhihao Xia,

Michael Gharbi,

Federico Perazzi,

Kalyan Sunkavalli,

Ayan Chakrabarti; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xia_2021_CVPR, author = {Xia, Zhihao and Gharbi, Michael and Perazzi, Federico and Sunkavalli, Kalyan and Chakrabarti, Ayan}, title = {Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2063-2072} }
Transformer Interpretability Beyond Attention Visualization: Hila Chefer,

Shir Gur,

Lior Wolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chefer_2021_CVPR, author = {Chefer, Hila and Gur, Shir and Wolf, Lior}, title = {Transformer Interpretability Beyond Attention Visualization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {782-791} }
Can We Characterize Tasks Without Labels or Features?: Bram Wallace,

Ziyang Wu,

Bharath Hariharan; [pdf] [supp]
[bibtex]
@InProceedings{Wallace_2021_CVPR, author = {Wallace, Bram and Wu, Ziyang and Hariharan, Bharath}, title = {Can We Characterize Tasks Without Labels or Features?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1245-1254} }
Rotation-Only Bundle Adjustment: Seong Hun Lee,

Javier Civera; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Seong Hun and Civera, Javier}, title = {Rotation-Only Bundle Adjustment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {424-433} }
FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation: Jaemin Na,

Heechul Jung,

Hyung Jin Chang,

Wonjun Hwang; [pdf] [arXiv]
[bibtex]
@InProceedings{Na_2021_CVPR, author = {Na, Jaemin and Jung, Heechul and Chang, Hyung Jin and Hwang, Wonjun}, title = {FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1094-1103} }
Learning Camera Localization via Dense Scene Matching: Shitao Tang,

Chengzhou Tang,

Rui Huang,

Siyu Zhu,

Ping Tan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tang_2021_CVPR, author = {Tang, Shitao and Tang, Chengzhou and Huang, Rui and Zhu, Siyu and Tan, Ping}, title = {Learning Camera Localization via Dense Scene Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1831-1841} }
PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation: Tal Reiss,

Niv Cohen,

Liron Bergman,

Yedid Hoshen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Reiss_2021_CVPR, author = {Reiss, Tal and Cohen, Niv and Bergman, Liron and Hoshen, Yedid}, title = {PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2806-2814} }
ReDet: A Rotation-Equivariant Detector for Aerial Object Detection: Jiaming Han,

Jian Ding,

Nan Xue,

Gui-Song Xia; [pdf] [arXiv]
[bibtex]
@InProceedings{Han_2021_CVPR, author = {Han, Jiaming and Ding, Jian and Xue, Nan and Xia, Gui-Song}, title = {ReDet: A Rotation-Equivariant Detector for Aerial Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2786-2795} }
Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences: Fengmao Lv,

Xiang Chen,

Yanyong Huang,

Lixin Duan,

Guosheng Lin; [pdf]
[bibtex]
@InProceedings{Lv_2021_CVPR, author = {Lv, Fengmao and Chen, Xiang and Huang, Yanyong and Duan, Lixin and Lin, Guosheng}, title = {Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2554-2562} }
Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning: Ali Cheraghian,

Shafin Rahman,

Pengfei Fang,

Soumava Kumar Roy,

Lars Petersson,

Mehrtash Harandi; [pdf] [arXiv]
[bibtex]
@InProceedings{Cheraghian_2021_CVPR, author = {Cheraghian, Ali and Rahman, Shafin and Fang, Pengfei and Roy, Soumava Kumar and Petersson, Lars and Harandi, Mehrtash}, title = {Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2534-2543} }
Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection: Lucas Tabelini,

Rodrigo Berriel,

Thiago M. Paixao,

Claudine Badue,

Alberto F. De Souza,

Thiago Oliveira-Santos; [pdf] [arXiv]
[bibtex]
@InProceedings{Tabelini_2021_CVPR, author = {Tabelini, Lucas and Berriel, Rodrigo and Paixao, Thiago M. and Badue, Claudine and De Souza, Alberto F. and Oliveira-Santos, Thiago}, title = {Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {294-302} }
Self-Supervised Multi-Frame Monocular Scene Flow: Junhwa Hur,

Stefan Roth; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hur_2021_CVPR, author = {Hur, Junhwa and Roth, Stefan}, title = {Self-Supervised Multi-Frame Monocular Scene Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2684-2694} }
AQD: Towards Accurate Quantized Object Detection: Peng Chen,

Jing Liu,

Bohan Zhuang,

Mingkui Tan,

Chunhua Shen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Peng and Liu, Jing and Zhuang, Bohan and Tan, Mingkui and Shen, Chunhua}, title = {AQD: Towards Accurate Quantized Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {104-113} }
LOHO: Latent Optimization of Hairstyles via Orthogonalization: Rohit Saha,

Brendan Duke,

Florian Shkurti,

Graham W. Taylor,

Parham Aarabi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Saha_2021_CVPR, author = {Saha, Rohit and Duke, Brendan and Shkurti, Florian and Taylor, Graham W. and Aarabi, Parham}, title = {LOHO: Latent Optimization of Hairstyles via Orthogonalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1984-1993} }
Single-Shot Freestyle Dance Reenactment: Oran Gafni,

Oron Ashual,

Lior Wolf; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gafni_2021_CVPR, author = {Gafni, Oran and Ashual, Oron and Wolf, Lior}, title = {Single-Shot Freestyle Dance Reenactment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {882-891} }
Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation: Jichang Li,

Guanbin Li,

Yemin Shi,

Yizhou Yu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jichang and Li, Guanbin and Shi, Yemin and Yu, Yizhou}, title = {Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2505-2514} }
MetricOpt: Learning To Optimize Black-Box Evaluation Metrics: Chen Huang,

Shuangfei Zhai,

Pengsheng Guo,

Josh Susskind; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Chen and Zhai, Shuangfei and Guo, Pengsheng and Susskind, Josh}, title = {MetricOpt: Learning To Optimize Black-Box Evaluation Metrics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {174-183} }
Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances: A Well Posed Problem?: Heng Guo,

Fumio Okura,

Boxin Shi,

Takuya Funatomi,

Yasuhiro Mukaigawa,

Yasuyuki Matsushita; [pdf] [supp]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Heng and Okura, Fumio and Shi, Boxin and Funatomi, Takuya and Mukaigawa, Yasuhiro and Matsushita, Yasuyuki}, title = {Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances: A Well Posed Problem?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {963-971} }
Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling: Zhichao Huang,

Xintong Han,

Jia Xu,

Tong Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Zhichao and Han, Xintong and Xu, Jia and Zhang, Tong}, title = {Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2297-2306} }
Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation: Peter Karkus,

Shaojun Cai,

David Hsu; [pdf] [supp]
[bibtex]
@InProceedings{Karkus_2021_CVPR, author = {Karkus, Peter and Cai, Shaojun and Hsu, David}, title = {Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2815-2825} }
Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification: Hao Chen,

Yaohui Wang,

Benoit Lagadec,

Antitza Dantcheva,

Francois Bremond; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Hao and Wang, Yaohui and Lagadec, Benoit and Dantcheva, Antitza and Bremond, Francois}, title = {Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2004-2013} }
ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation: Xinyue Huo,

Lingxi Xie,

Jianzhong He,

Zijie Yang,

Wengang Zhou,

Houqiang Li,

Qi Tian; [pdf] [supp]
[bibtex]
@InProceedings{Huo_2021_CVPR, author = {Huo, Xinyue and Xie, Lingxi and He, Jianzhong and Yang, Zijie and Zhou, Wengang and Li, Houqiang and Tian, Qi}, title = {ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1235-1244} }
Pseudo Facial Generation With Extreme Poses for Face Recognition: Guoli Wang,

Jiaqi Ma,

Qian Zhang,

Jiwen Lu,

Jie Zhou; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Guoli and Ma, Jiaqi and Zhang, Qian and Lu, Jiwen and Zhou, Jie}, title = {Pseudo Facial Generation With Extreme Poses for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1994-2003} }
Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition: Songyang Zhang,

Zeming Li,

Shipeng Yan,

Xuming He,

Jian Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Songyang and Li, Zeming and Yan, Shipeng and He, Xuming and Sun, Jian}, title = {Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2361-2370} }
3D-MAN: 3D Multi-Frame Attention Network for Object Detection: Zetong Yang,

Yin Zhou,

Zhifeng Chen,

Jiquan Ngiam; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Zetong and Zhou, Yin and Chen, Zhifeng and Ngiam, Jiquan}, title = {3D-MAN: 3D Multi-Frame Attention Network for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1863-1872} }
Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization: Junting Pan,

Siyu Chen,

Mike Zheng Shou,

Yu Liu,

Jing Shao,

Hongsheng Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Pan_2021_CVPR, author = {Pan, Junting and Chen, Siyu and Shou, Mike Zheng and Liu, Yu and Shao, Jing and Li, Hongsheng}, title = {Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {464-474} }
Cross-View Cross-Scene Multi-View Crowd Counting: Qi Zhang,

Wei Lin,

Antoni B. Chan; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Qi and Lin, Wei and Chan, Antoni B.}, title = {Cross-View Cross-Scene Multi-View Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {557-567} }
Keypoint-Graph-Driven Learning Framework for Object Pose Estimation: Shaobo Zhang,

Wanqing Zhao,

Ziyu Guan,

Xianlin Peng,

Jinye Peng; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shaobo and Zhao, Wanqing and Guan, Ziyu and Peng, Xianlin and Peng, Jinye}, title = {Keypoint-Graph-Driven Learning Framework for Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1065-1073} }
WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos: Mingfei Gao,

Yingbo Zhou,

Ran Xu,

Richard Socher,

Caiming Xiong; [pdf] [arXiv]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Mingfei and Zhou, Yingbo and Xu, Ran and Socher, Richard and Xiong, Caiming}, title = {WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1915-1923} }
Deep Dual Consecutive Network for Human Pose Estimation: Zhenguang Liu,

Haoming Chen,

Runyang Feng,

Shuang Wu,

Shouling Ji,

Bailin Yang,

Xun Wang; [pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Zhenguang and Chen, Haoming and Feng, Runyang and Wu, Shuang and Ji, Shouling and Yang, Bailin and Wang, Xun}, title = {Deep Dual Consecutive Network for Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {525-534} }
GAN Prior Embedded Network for Blind Face Restoration in the Wild: Tao Yang,

Peiran Ren,

Xuansong Xie,

Lei Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Tao and Ren, Peiran and Xie, Xuansong and Zhang, Lei}, title = {GAN Prior Embedded Network for Blind Face Restoration in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {672-681} }
The Lottery Ticket Hypothesis for Object Recognition: Sharath Girish,

Shishira R Maiya,

Kamal Gupta,

Hao Chen,

Larry S. Davis,

Abhinav Shrivastava; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Girish_2021_CVPR, author = {Girish, Sharath and Maiya, Shishira R and Gupta, Kamal and Chen, Hao and Davis, Larry S. and Shrivastava, Abhinav}, title = {The Lottery Ticket Hypothesis for Object Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {762-771} }
Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking: Ning Wang,

Wengang Zhou,

Jie Wang,

Houqiang Li; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Ning and Zhou, Wengang and Wang, Jie and Li, Houqiang}, title = {Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1571-1580} }
High-Fidelity Neural Human Motion Transfer From Monocular Video: Moritz Kappel,

Vladislav Golyanik,

Mohamed Elgharib,

Jann-Ole Henningson,

Hans-Peter Seidel,

Susana Castillo,

Christian Theobalt,

Marcus Magnor; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kappel_2021_CVPR, author = {Kappel, Moritz and Golyanik, Vladislav and Elgharib, Mohamed and Henningson, Jann-Ole and Seidel, Hans-Peter and Castillo, Susana and Theobalt, Christian and Magnor, Marcus}, title = {High-Fidelity Neural Human Motion Transfer From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1541-1550} }
Depth Completion With Twin Surface Extrapolation at Occlusion Boundaries: Saif Imran,

Xiaoming Liu,

Daniel Morris; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Imran_2021_CVPR, author = {Imran, Saif and Liu, Xiaoming and Morris, Daniel}, title = {Depth Completion With Twin Surface Extrapolation at Occlusion Boundaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2583-2592} }
Learning the Superpixel in a Non-Iterative and Lifelong Manner: Lei Zhu,

Qi She,

Bin Zhang,

Yanye Lu,

Zhilin Lu,

Duo Li,

Jie Hu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Lei and She, Qi and Zhang, Bin and Lu, Yanye and Lu, Zhilin and Li, Duo and Hu, Jie}, title = {Learning the Superpixel in a Non-Iterative and Lifelong Manner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1225-1234} }
Differentiable Patch Selection for Image Recognition: Jean-Baptiste Cordonnier,

Aravindh Mahendran,

Alexey Dosovitskiy,

Dirk Weissenborn,

Jakob Uszkoreit,

Thomas Unterthiner; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cordonnier_2021_CVPR, author = {Cordonnier, Jean-Baptiste and Mahendran, Aravindh and Dosovitskiy, Alexey and Weissenborn, Dirk and Uszkoreit, Jakob and Unterthiner, Thomas}, title = {Differentiable Patch Selection for Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2351-2360} }
Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy: Zikai Zhang,

Bineng Zhong,

Shengping Zhang,

Zhenjun Tang,

Xin Liu,

Zhaoxiang Zhang; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zikai and Zhong, Bineng and Zhang, Shengping and Tang, Zhenjun and Liu, Xin and Zhang, Zhaoxiang}, title = {Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1024-1033} }
Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing: Tianfei Zhou,

Wenguan Wang,

Si Liu,

Yi Yang,

Luc Van Gool; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Tianfei and Wang, Wenguan and Liu, Si and Yang, Yi and Van Gool, Luc}, title = {Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1622-1631} }
Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias: Stefan Stojanov,

Anh Thai,

James M. Rehg; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Stojanov_2021_CVPR, author = {Stojanov, Stefan and Thai, Anh and Rehg, James M.}, title = {Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1798-1808} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Honggu and Li, Xiaodan and Zhou, Wenbo and Chen, Yuefeng and He, Yuan and Xue, Hui and Zhang, Weiming and Yu, Nenghai}, title = {Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {772-781} }
Learning Delaunay Surface Elements for Mesh Reconstruction: Marie-Julie Rakotosaona,

Paul Guerrero,

Noam Aigerman,

Niloy J. Mitra,

Maks Ovsjanikov; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Rakotosaona_2021_CVPR, author = {Rakotosaona, Marie-Julie and Guerrero, Paul and Aigerman, Noam and Mitra, Niloy J. and Ovsjanikov, Maks}, title = {Learning Delaunay Surface Elements for Mesh Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {22-31} }
Holistic 3D Human and Scene Mesh Estimation From Single View Images: Zhenzhen Weng,

Serena Yeung; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Weng_2021_CVPR, author = {Weng, Zhenzhen and Yeung, Serena}, title = {Holistic 3D Human and Scene Mesh Estimation From Single View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {334-343} }
MIST: Multiple Instance Spatial Transformer: Baptiste Angles,

Yuhe Jin,

Simon Kornblith,

Andrea Tagliasacchi,

Kwang Moo Yi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Angles_2021_CVPR, author = {Angles, Baptiste and Jin, Yuhe and Kornblith, Simon and Tagliasacchi, Andrea and Yi, Kwang Moo}, title = {MIST: Multiple Instance Spatial Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2412-2422} }
Rethinking Channel Dimensions for Efficient Model Design: Dongyoon Han,

Sangdoo Yun,

Byeongho Heo,

YoungJoon Yoo; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2021_CVPR, author = {Han, Dongyoon and Yun, Sangdoo and Heo, Byeongho and Yoo, YoungJoon}, title = {Rethinking Channel Dimensions for Efficient Model Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {732-741} }
A Self-Boosting Framework for Automated Radiographic Report Generation: Zhanyu Wang,

Luping Zhou,

Lei Wang,

Xiu Li; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Zhanyu and Zhou, Luping and Wang, Lei and Li, Xiu}, title = {A Self-Boosting Framework for Automated Radiographic Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2433-2442} }
Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation: Yuntong Ye,

Yi Chang,

Hanyu Zhou,

Luxin Yan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye_2021_CVPR, author = {Ye, Yuntong and Chang, Yi and Zhou, Hanyu and Yan, Luxin}, title = {Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2053-2062} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yun_2021_CVPR, author = {Yun, Sangdoo and Oh, Seong Joon and Heo, Byeongho and Han, Dongyoon and Choe, Junsuk and Chun, Sanghyuk}, title = {Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2340-2350} }
Interventional Video Grounding With Dual Contrastive Learning: Guoshun Nan,

Rui Qiao,

Yao Xiao,

Jun Liu,

Sicong Leng,

Hao Zhang,

Wei Lu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Nan_2021_CVPR, author = {Nan, Guoshun and Qiao, Rui and Xiao, Yao and Liu, Jun and Leng, Sicong and Zhang, Hao and Lu, Wei}, title = {Interventional Video Grounding With Dual Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2765-2775} }
IQDet: Instance-Wise Quality Distribution Sampling for Object Detection: Yuchen Ma,

Songtao Liu,

Zeming Li,

Jian Sun; [pdf] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Yuchen and Liu, Songtao and Li, Zeming and Sun, Jian}, title = {IQDet: Instance-Wise Quality Distribution Sampling for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1717-1725} }
Cross-Modal Contrastive Learning for Text-to-Image Generation: Han Zhang,

Jing Yu Koh,

Jason Baldridge,

Honglak Lee,

Yinfei Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Han and Koh, Jing Yu and Baldridge, Jason and Lee, Honglak and Yang, Yinfei}, title = {Cross-Modal Contrastive Learning for Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {833-842} }
Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision: Zhenzhen Weng,

Mehmet Giray Ogut,

Shai Limonchik,

Serena Yeung; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Weng_2021_CVPR, author = {Weng, Zhenzhen and Ogut, Mehmet Giray and Limonchik, Shai and Yeung, Serena}, title = {Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2603-2612} }
Fully Convolutional Networks for Panoptic Segmentation: Yanwei Li,

Hengshuang Zhao,

Xiaojuan Qi,

Liwei Wang,

Zeming Li,

Jian Sun,

Jiaya Jia; [pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yanwei and Zhao, Hengshuang and Qi, Xiaojuan and Wang, Liwei and Li, Zeming and Sun, Jian and Jia, Jiaya}, title = {Fully Convolutional Networks for Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {214-223} }
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 Fanello,

Ping Tan,

Yinda Zhang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Feitong and Tang, Danhang and Dou, Mingsong and Guo, Kaiwen and Pandey, Rohit and Keskin, Cem and Du, Ruofei and Sun, Deqing and Bouaziz, Sofien and Fanello, Sean and Tan, Ping and Zhang, Yinda}, title = {HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1820-1830} }
Towards Long-Form Video Understanding: Chao-Yuan Wu,

Philipp Krahenbuhl; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Chao-Yuan and Krahenbuhl, Philipp}, title = {Towards Long-Form Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1884-1894} }
Generalized Domain Adaptation: Yu Mitsuzumi,

Go Irie,

Daiki Ikami,

Takashi Shibata; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mitsuzumi_2021_CVPR, author = {Mitsuzumi, Yu and Irie, Go and Ikami, Daiki and Shibata, Takashi}, title = {Generalized Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1084-1093} }
Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations: Wang Yifan,

Shihao Wu,

Cengiz Oztireli,

Olga Sorkine-Hornung; [pdf] [supp]
[bibtex]
@InProceedings{Yifan_2021_CVPR, author = {Yifan, Wang and Wu, Shihao and Oztireli, Cengiz and Sorkine-Hornung, Olga}, title = {Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {374-383} }
End-to-End Human Pose and Mesh Reconstruction with Transformers: Kevin Lin,

Lijuan Wang,

Zicheng Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Kevin and Wang, Lijuan and Liu, Zicheng}, title = {End-to-End Human Pose and Mesh Reconstruction with Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1954-1963} }
Space-Time Distillation for Video Super-Resolution: Zeyu Xiao,

Xueyang Fu,

Jie Huang,

Zhen Cheng,

Zhiwei Xiong; [pdf] [supp]
[bibtex]
@InProceedings{Xiao_2021_CVPR, author = {Xiao, Zeyu and Fu, Xueyang and Huang, Jie and Cheng, Zhen and Xiong, Zhiwei}, title = {Space-Time Distillation for Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2113-2122} }
Explicit Knowledge Incorporation for Visual Reasoning: Yifeng Zhang,

Ming Jiang,

Qi Zhao; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yifeng and Jiang, Ming and Zhao, Qi}, title = {Explicit Knowledge Incorporation for Visual Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1356-1365} }
VLN BERT: A Recurrent Vision-and-Language BERT for Navigation: Yicong Hong,

Qi Wu,

Yuankai Qi,

Cristian Rodriguez-Opazo,

Stephen Gould; [pdf] [supp]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Yicong and Wu, Qi and Qi, Yuankai and Rodriguez-Opazo, Cristian and Gould, Stephen}, title = {VLN BERT: A Recurrent Vision-and-Language BERT for Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1643-1653} }
On Learning the Geodesic Path for Incremental Learning: Christian Simon,

Piotr Koniusz,

Mehrtash Harandi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Simon_2021_CVPR, author = {Simon, Christian and Koniusz, Piotr and Harandi, Mehrtash}, title = {On Learning the Geodesic Path for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1591-1600} }
BABEL: Bodies, Action and Behavior With English Labels: Abhinanda R. Punnakkal,

Arjun Chandrasekaran,

Nikos Athanasiou,

Alejandra Quiros-Ramirez,

Michael J. Black; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Punnakkal_2021_CVPR, author = {Punnakkal, Abhinanda R. and Chandrasekaran, Arjun and Athanasiou, Nikos and Quiros-Ramirez, Alejandra and Black, Michael J.}, title = {BABEL: Bodies, Action and Behavior With English Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {722-731} }
Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals: Kun Qian,

Shilin Zhu,

Xinyu Zhang,

Li Erran Li; [pdf] [supp]
[bibtex]
@InProceedings{Qian_2021_CVPR, author = {Qian, Kun and Zhu, Shilin and Zhang, Xinyu and Li, Li Erran}, title = {Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {444-453} }
A Hyperbolic-to-Hyperbolic Graph Convolutional Network: Jindou Dai,

Yuwei Wu,

Zhi Gao,

Yunde Jia; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dai_2021_CVPR, author = {Dai, Jindou and Wu, Yuwei and Gao, Zhi and Jia, Yunde}, title = {A Hyperbolic-to-Hyperbolic Graph Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {154-163} }
Deep Homography for Efficient Stereo Image Compression: Xin Deng,

Wenzhe Yang,

Ren Yang,

Mai Xu,

Enpeng Liu,

Qianhan Feng,

Radu Timofte; [pdf]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Xin and Yang, Wenzhe and Yang, Ren and Xu, Mai and Liu, Enpeng and Feng, Qianhan and Timofte, Radu}, title = {Deep Homography for Efficient Stereo Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1492-1501} }
Training Networks in Null Space of Feature Covariance for Continual Learning: Shipeng Wang,

Xiaorong Li,

Jian Sun,

Zongben Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Shipeng and Li, Xiaorong and Sun, Jian and Xu, Zongben}, title = {Training Networks in Null Space of Feature Covariance for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {184-193} }
DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution: Tong He,

Chunhua Shen,

Anton van den Hengel; [pdf] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Tong and Shen, Chunhua and van den Hengel, Anton}, title = {DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {354-363} }
OCONet: Image Extrapolation by Object Completion: Richard Strong Bowen,

Huiwen Chang,

Charles Herrmann,

Piotr Teterwak,

Ce Liu,

Ramin Zabih; [pdf] [supp]
[bibtex]
@InProceedings{Bowen_2021_CVPR, author = {Bowen, Richard Strong and Chang, Huiwen and Herrmann, Charles and Teterwak, Piotr and Liu, Ce and Zabih, Ramin}, title = {OCONet: Image Extrapolation by Object Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2307-2317} }
Correlated Input-Dependent Label Noise in Large-Scale Image Classification: Mark Collier,

Basil Mustafa,

Efi Kokiopoulou,

Rodolphe Jenatton,

Jesse Berent; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Collier_2021_CVPR, author = {Collier, Mark and Mustafa, Basil and Kokiopoulou, Efi and Jenatton, Rodolphe and Berent, Jesse}, title = {Correlated Input-Dependent Label Noise in Large-Scale Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1551-1560} }
Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection: Jingru Tan,

Xin Lu,

Gang Zhang,

Changqing Yin,

Quanquan Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Jingru and Lu, Xin and Zhang, Gang and Yin, Changqing and Li, Quanquan}, title = {Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1685-1694} }
Primitive Representation Learning for Scene Text Recognition: Ruijie Yan,

Liangrui Peng,

Shanyu Xiao,

Gang Yao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Ruijie and Peng, Liangrui and Xiao, Shanyu and Yao, Gang}, title = {Primitive Representation Learning for Scene Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {284-293} }
Pareidolia Face Reenactment: Linsen Song,

Wayne Wu,

Chaoyou Fu,

Chen Qian,

Chen Change Loy,

Ran He; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Linsen and Wu, Wayne and Fu, Chaoyou and Qian, Chen and Loy, Chen Change and He, Ran}, title = {Pareidolia Face Reenactment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2236-2245} }
ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks: Xinshao Wang,

Yang Hua,

Elyor Kodirov,

David A. Clifton,

Neil M. Robertson; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xinshao and Hua, Yang and Kodirov, Elyor and Clifton, David A. and Robertson, Neil M.}, title = {ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {752-761} }
Learning To Segment Rigid Motions From Two Frames: Gengshan Yang,

Deva Ramanan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Gengshan and Ramanan, Deva}, title = {Learning To Segment Rigid Motions From Two Frames}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1266-1275} }
Multi-Label Learning From Single Positive Labels: Elijah Cole,

Oisin Mac Aodha,

Titouan Lorieul,

Pietro Perona,

Dan Morris,

Nebojsa Jojic; [pdf] [arXiv]
[bibtex]
@InProceedings{Cole_2021_CVPR, author = {Cole, Elijah and Mac Aodha, Oisin and Lorieul, Titouan and Perona, Pietro and Morris, Dan and Jojic, Nebojsa}, title = {Multi-Label Learning From Single Positive Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {933-942} }
Learning Semantic-Aware Dynamics for Video Prediction: Xinzhu Bei,

Yanchao Yang,

Stefano Soatto; [pdf] [arXiv]
[bibtex]
@InProceedings{Bei_2021_CVPR, author = {Bei, Xinzhu and Yang, Yanchao and Soatto, Stefano}, title = {Learning Semantic-Aware Dynamics for Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {902-912} }
Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression: Yufei Cui,

Ziquan Liu,

Qiao Li,

Antoni B. Chan,

Chun Jason Xue; [pdf] [arXiv]
[bibtex]
@InProceedings{Cui_2021_CVPR, author = {Cui, Yufei and Liu, Ziquan and Li, Qiao and Chan, Antoni B. and Xue, Chun Jason}, title = {Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2392-2401} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Pengfei and Wang, Puyang and Zhou, Jinyuan and Jiang, Shanshan and Patel, Vishal M.}, title = {Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2423-2432} }
Discrimination-Aware Mechanism for Fine-Grained Representation Learning: Furong Xu,

Meng Wang,

Wei Zhang,

Yuan Cheng,

Wei Chu; [pdf]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Furong and Wang, Meng and Zhang, Wei and Cheng, Yuan and Chu, Wei}, title = {Discrimination-Aware Mechanism for Fine-Grained Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {813-822} }
Deep Implicit Moving Least-Squares Functions for 3D Reconstruction: Shi-Lin Liu,

Hao-Xiang Guo,

Hao Pan,

Peng-Shuai Wang,

Xin Tong,

Yang Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Shi-Lin and Guo, Hao-Xiang and Pan, Hao and Wang, Peng-Shuai and Tong, Xin and Liu, Yang}, title = {Deep Implicit Moving Least-Squares Functions for 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1788-1797} }
SwiftNet: Real-Time Video Object Segmentation: Haochen Wang,

Xiaolong Jiang,

Haibing Ren,

Yao Hu,

Song Bai; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Haochen and Jiang, Xiaolong and Ren, Haibing and Hu, Yao and Bai, Song}, title = {SwiftNet: Real-Time Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1296-1305} }
Contrastive Embedding for Generalized Zero-Shot Learning: Zongyan Han,

Zhenyong Fu,

Shuo Chen,

Jian Yang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Han_2021_CVPR, author = {Han, Zongyan and Fu, Zhenyong and Chen, Shuo and Yang, Jian}, title = {Contrastive Embedding for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2371-2381} }
Closed-Form Factorization of Latent Semantics in GANs: Yujun Shen,

Bolei Zhou; [pdf] [arXiv]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Yujun and Zhou, Bolei}, title = {Closed-Form Factorization of Latent Semantics in GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1532-1540} }
Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison: Shenzhi Wang,

Liwei Wu,

Lei Cui,

Yujun Shen; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Shenzhi and Wu, Liwei and Cui, Lei and Shen, Yujun}, title = {Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {254-263} }
Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss: Mouxing Yang,

Yunfan Li,

Zhenyu Huang,

Zitao Liu,

Peng Hu,

Xi Peng; [pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Mouxing and Li, Yunfan and Huang, Zhenyu and Liu, Zitao and Hu, Peng and Peng, Xi}, title = {Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1134-1143} }
Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator: Sian-Yao Huang,

Wei-Ta Chu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Sian-Yao and Chu, Wei-Ta}, title = {Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {983-992} }
Affordance Transfer Learning for Human-Object Interaction Detection: Zhi Hou,

Baosheng Yu,

Yu Qiao,

Xiaojiang Peng,

Dacheng Tao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Zhi and Yu, Baosheng and Qiao, Yu and Peng, Xiaojiang and Tao, Dacheng}, title = {Affordance Transfer Learning for Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {495-504} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Richardson_2021_CVPR, author = {Richardson, Elad and Alaluf, Yuval and Patashnik, Or and Nitzan, Yotam and Azar, Yaniv and Shapiro, Stav and Cohen-Or, Daniel}, title = {Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2287-2296} }
Polarimetric Normal Stereo: Yoshiki Fukao,

Ryo Kawahara,

Shohei Nobuhara,

Ko Nishino; [pdf] [supp]
[bibtex]
@InProceedings{Fukao_2021_CVPR, author = {Fukao, Yoshiki and Kawahara, Ryo and Nobuhara, Shohei and Nishino, Ko}, title = {Polarimetric Normal Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {682-690} }
Self-Supervised Learning for Semi-Supervised Temporal Action Proposal: Xiang Wang,

Shiwei Zhang,

Zhiwu Qing,

Yuanjie Shao,

Changxin Gao,

Nong Sang; [pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xiang and Zhang, Shiwei and Qing, Zhiwu and Shao, Yuanjie and Gao, Changxin and Sang, Nong}, title = {Self-Supervised Learning for Semi-Supervised Temporal Action Proposal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1905-1914} }
Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing: Hyunsu Kim,

Yunjey Choi,

Junho Kim,

Sungjoo Yoo,

Youngjung Uh; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Hyunsu and Choi, Yunjey and Kim, Junho and Yoo, Sungjoo and Uh, Youngjung}, title = {Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {852-861} }
Neural Feature Search for RGB-Infrared Person Re-Identification: Yehansen Chen,

Lin Wan,

Zhihang Li,

Qianyan Jing,

Zongyuan Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Yehansen and Wan, Lin and Li, Zhihang and Jing, Qianyan and Sun, Zongyuan}, title = {Neural Feature Search for RGB-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {587-597} }
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps: Gautam Pai,

Jing Ren,

Simone Melzi,

Peter Wonka,

Maks Ovsjanikov; [pdf] [supp]
[bibtex]
@InProceedings{Pai_2021_CVPR, author = {Pai, Gautam and Ren, Jing and Melzi, Simone and Wonka, Peter and Ovsjanikov, Maks}, title = {Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {384-393} }
The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth: Jamie Watson,

Oisin Mac Aodha,

Victor Prisacariu,

Gabriel Brostow,

Michael Firman; [pdf] [arXiv]
[bibtex]
@InProceedings{Watson_2021_CVPR, author = {Watson, Jamie and Mac Aodha, Oisin and Prisacariu, Victor and Brostow, Gabriel and Firman, Michael}, title = {The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1164-1174} }
Semi-Supervised Video Deraining With Dynamical Rain Generator: Zongsheng Yue,

Jianwen Xie,

Qian Zhao,

Deyu Meng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yue_2021_CVPR, author = {Yue, Zongsheng and Xie, Jianwen and Zhao, Qian and Meng, Deyu}, title = {Semi-Supervised Video Deraining With Dynamical Rain Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {642-652} }
You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems: Yanru Xiao,

Cong Wang; [pdf] [supp]
[bibtex]
@InProceedings{Xiao_2021_CVPR, author = {Xiao, Yanru and Wang, Cong}, title = {You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1934-1943} }
Improving Multiple Object Tracking With Single Object Tracking: Linyu Zheng,

Ming Tang,

Yingying Chen,

Guibo Zhu,

Jinqiao Wang,

Hanqing Lu; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Linyu and Tang, Ming and Chen, Yingying and Zhu, Guibo and Wang, Jinqiao and Lu, Hanqing}, title = {Improving Multiple Object Tracking With Single Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2453-2462} }
Spatially Consistent Representation Learning: Byungseok Roh,

Wuhyun Shin,

Ildoo Kim,

Sungwoong Kim; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Roh_2021_CVPR, author = {Roh, Byungseok and Shin, Wuhyun and Kim, Ildoo and Kim, Sungwoong}, title = {Spatially Consistent Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1144-1153} }
Semantic Scene Completion via Integrating Instances and Scene In-the-Loop: Yingjie Cai,

Xuesong Chen,

Chao Zhang,

Kwan-Yee Lin,

Xiaogang Wang,

Hongsheng Li; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cai_2021_CVPR, author = {Cai, Yingjie and Chen, Xuesong and Zhang, Chao and Lin, Kwan-Yee and Wang, Xiaogang and Li, Hongsheng}, title = {Semantic Scene Completion via Integrating Instances and Scene In-the-Loop}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {324-333} }
Unsupervised Visual Representation Learning by Tracking Patches in Video: Guangting Wang,

Yizhou Zhou,

Chong Luo,

Wenxuan Xie,

Wenjun Zeng,

Zhiwei Xiong; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Guangting and Zhou, Yizhou and Luo, Chong and Xie, Wenxuan and Zeng, Wenjun and Xiong, Zhiwei}, title = {Unsupervised Visual Representation Learning by Tracking Patches in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2563-2572} }
Deep Learning in Latent Space for Video Prediction and Compression: Bowen Liu,

Yu Chen,

Shiyu Liu,

Hun-Seok Kim; [pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Bowen and Chen, Yu and Liu, Shiyu and Kim, Hun-Seok}, title = {Deep Learning in Latent Space for Video Prediction and Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {701-710} }
BCNet: Searching for Network Width With Bilaterally Coupled Network: Xiu Su,

Shan You,

Fei Wang,

Chen Qian,

Changshui Zhang,

Chang Xu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Su_2021_CVPR, author = {Su, Xiu and You, Shan and Wang, Fei and Qian, Chen and Zhang, Changshui and Xu, Chang}, title = {BCNet: Searching for Network Width With Bilaterally Coupled Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2175-2184} }
Adaptive Aggregation Networks for Class-Incremental Learning: Yaoyao Liu,

Bernt Schiele,

Qianru Sun; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yaoyao and Schiele, Bernt and Sun, Qianru}, title = {Adaptive Aggregation Networks for Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2544-2553} }
Incremental Learning via Rate Reduction: Ziyang Wu,

Christina Baek,

Chong You,

Yi Ma; [pdf] [arXiv]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Ziyang and Baek, Christina and You, Chong and Ma, Yi}, title = {Incremental Learning via Rate Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1125-1133} }
Deep Convolutional Dictionary Learning for Image Denoising: Hongyi Zheng,

Hongwei Yong,

Lei Zhang; [pdf] [supp]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Hongyi and Yong, Hongwei and Zhang, Lei}, title = {Deep Convolutional Dictionary Learning for Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {630-641} }
One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation: Zhengzhe Liu,

Xiaojuan Qi,

Chi-Wing Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Zhengzhe and Qi, Xiaojuan and Fu, Chi-Wing}, title = {One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1726-1736} }
AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries: Qianjiang Hu,

Xiao Wang,

Wei Hu,

Guo-Jun Qi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Qianjiang and Wang, Xiao and Hu, Wei and Qi, Guo-Jun}, title = {AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1074-1083} }
Improved Handling of Motion Blur in Online Object Detection: Mohamed Sayed,

Gabriel Brostow; [pdf] [arXiv]
[bibtex]
@InProceedings{Sayed_2021_CVPR, author = {Sayed, Mohamed and Brostow, Gabriel}, title = {Improved Handling of Motion Blur in Online Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1706-1716} }
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; [pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Lin and Chae, Yujeong and Yoon, Sung-Hoon and Kim, Tae-Kyun and Yoon, Kuk-Jin}, title = {EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {608-619} }
Learning To Reconstruct High Speed and High Dynamic Range Videos From Events: Yunhao Zou,

Yinqiang Zheng,

Tsuyoshi Takatani,

Ying Fu; [pdf]
[bibtex]
@InProceedings{Zou_2021_CVPR, author = {Zou, Yunhao and Zheng, Yinqiang and Takatani, Tsuyoshi and Fu, Ying}, title = {Learning To Reconstruct High Speed and High Dynamic Range Videos From Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2024-2033} }
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; [pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Qiang and Zhao, Shenlu and Luo, Yongjiang and Zhang, Dingwen and Huang, Nianchang and Han, Jungong}, title = {ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2633-2642} }
Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos: Sijie Song,

Xudong Lin,

Jiaying Liu,

Zongming Guo,

Shih-Fu Chang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Sijie and Lin, Xudong and Liu, Jiaying and Guo, Zongming and Chang, Shih-Fu}, title = {Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1346-1355} }
Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation: Bo Li,

Yezhen Wang,

Shanghang Zhang,

Dongsheng Li,

Kurt Keutzer,

Trevor Darrell,

Han Zhao; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Bo and Wang, Yezhen and Zhang, Shanghang and Li, Dongsheng and Keutzer, Kurt and Darrell, Trevor and Zhao, Han}, title = {Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1104-1113} }
MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection: Luca Magri,

Filippo Leveni,

Giacomo Boracchi; [pdf]
[bibtex]
@InProceedings{Magri_2021_CVPR, author = {Magri, Luca and Leveni, Filippo and Boracchi, Giacomo}, title = {MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1853-1862} }
Robust Consistent Video Depth Estimation: Johannes Kopf,

Xuejian Rong,

Jia-Bin Huang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kopf_2021_CVPR, author = {Kopf, Johannes and Rong, Xuejian and Huang, Jia-Bin}, title = {Robust Consistent Video Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1611-1621} }
How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language: Amanda Duarte,

Shruti Palaskar,

Lucas Ventura,

Deepti Ghadiyaram,

Kenneth DeHaan,

Florian Metze,

Jordi Torres,

Xavier Giro-i-Nieto; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Duarte_2021_CVPR, author = {Duarte, Amanda and Palaskar, Shruti and Ventura, Lucas and Ghadiyaram, Deepti and DeHaan, Kenneth and Metze, Florian and Torres, Jordi and Giro-i-Nieto, Xavier}, title = {How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2735-2744} }
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; [pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Haibo and Zhao, Lei and Wang, Zhizhong and Zhang, Huiming and Zuo, Zhiwen and Li, Ailin and Xing, Wei and Lu, Dongming}, title = {DualAST: Dual Style-Learning Networks for Artistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {872-881} }
Learning a Proposal Classifier for Multiple Object Tracking: Peng Dai,

Renliang Weng,

Wongun Choi,

Changshui Zhang,

Zhangping He,

Wei Ding; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dai_2021_CVPR, author = {Dai, Peng and Weng, Renliang and Choi, Wongun and Zhang, Changshui and He, Zhangping and Ding, Wei}, title = {Learning a Proposal Classifier for Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2443-2452} }
Multi-Attentional Deepfake Detection: Hanqing Zhao,

Wenbo Zhou,

Dongdong Chen,

Tianyi Wei,

Weiming Zhang,

Nenghai Yu; [pdf] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Hanqing and Zhou, Wenbo and Chen, Dongdong and Wei, Tianyi and Zhang, Weiming and Yu, Nenghai}, title = {Multi-Attentional Deepfake Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2185-2194} }
Shared Cross-Modal Trajectory Prediction for Autonomous Driving: Chiho Choi,

Joon Hee Choi,

Jiachen Li,

Srikanth Malla; [pdf] [supp]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Chiho and Choi, Joon Hee and Li, Jiachen and Malla, Srikanth}, title = {Shared Cross-Modal Trajectory Prediction for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {244-253} }
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; [pdf] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Xingkun and Huang, Yuge and Shen, Pengcheng and Li, Shaoxin and Li, Jilin and Huang, Feiyue and Li, Yong and Cui, Zhen}, title = {Consistent Instance False Positive Improves Fairness in Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {578-586} }
Exploring intermediate representation for monocular vehicle pose estimation: Shichao Li,

Zengqiang Yan,

Hongyang Li,

Kwang-Ting Cheng; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Shichao and Yan, Zengqiang and Li, Hongyang and Cheng, Kwang-Ting}, title = {Exploring intermediate representation for monocular vehicle pose estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1873-1883} }
Capturing Omni-Range Context for Omnidirectional Segmentation: Kailun Yang,

Jiaming Zhang,

Simon Reiss,

Xinxin Hu,

Rainer Stiefelhagen; [pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Kailun and Zhang, Jiaming and Reiss, Simon and Hu, Xinxin and Stiefelhagen, Rainer}, title = {Capturing Omni-Range Context for Omnidirectional Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1376-1386} }
Practical Single-Image Super-Resolution Using Look-Up Table: Younghyun Jo,

Seon Joo Kim; [pdf] [supp]
[bibtex]
@InProceedings{Jo_2021_CVPR, author = {Jo, Younghyun and Kim, Seon Joo}, title = {Practical Single-Image Super-Resolution Using Look-Up Table}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {691-700} }
Point Cloud Upsampling via Disentangled Refinement: Ruihui Li,

Xianzhi Li,

Pheng-Ann Heng,

Chi-Wing Fu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Ruihui and Li, Xianzhi and Heng, Pheng-Ann and Fu, Chi-Wing}, title = {Point Cloud Upsampling via Disentangled Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {344-353} }
Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion: Cheng Chi,

Qingjie Wang,

Tianyu Hao,

Peng Guo,

Xin Yang; [pdf]
[bibtex]
@InProceedings{Chi_2021_CVPR, author = {Chi, Cheng and Wang, Qingjie and Hao, Tianyu and Guo, Peng and Yang, Xin}, title = {Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2463-2473} }
A Generalized Loss Function for Crowd Counting and Localization: Jia Wan,

Ziquan Liu,

Antoni B. Chan; [pdf] [supp]
[bibtex]
@InProceedings{Wan_2021_CVPR, author = {Wan, Jia and Liu, Ziquan and Chan, Antoni B.}, title = {A Generalized Loss Function for Crowd Counting and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1974-1983} }
The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures: Yawei Li,

Wen Li,

Martin Danelljan,

Kai Zhang,

Shuhang Gu,

Luc Van Gool,

Radu Timofte; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yawei and Li, Wen and Danelljan, Martin and Zhang, Kai and Gu, Shuhang and Van Gool, Luc and Timofte, Radu}, title = {The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2144-2153} }
Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB: Bo Sun,

Junchi Yan,

Xiao Zhou,

Yinqiang Zheng; [pdf] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Bo and Yan, Junchi and Zhou, Xiao and Zheng, Yinqiang}, title = {Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {84-93} }
Self-Supervised Motion Learning From Static Images: Ziyuan Huang,

Shiwei Zhang,

Jianwen Jiang,

Mingqian Tang,

Rong Jin,

Marcelo H. Ang; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Ziyuan and Zhang, Shiwei and Jiang, Jianwen and Tang, Mingqian and Jin, Rong and Ang, Marcelo H.}, title = {Self-Supervised Motion Learning From Static Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1276-1285} }
Robust Reference-Based Super-Resolution via C2-Matching: Yuming Jiang,

Kelvin C.K. Chan,

Xintao Wang,

Chen Change Loy,

Ziwei Liu; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Yuming and Chan, Kelvin C.K. and Wang, Xintao and Loy, Chen Change and Liu, Ziwei}, title = {Robust Reference-Based Super-Resolution via C2-Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2103-2112} }
Temporal-Relational CrossTransformers for Few-Shot Action Recognition: Toby Perrett,

Alessandro Masullo,

Tilo Burghardt,

Majid Mirmehdi,

Dima Damen; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Perrett_2021_CVPR, author = {Perrett, Toby and Masullo, Alessandro and Burghardt, Tilo and Mirmehdi, Majid and Damen, Dima}, title = {Temporal-Relational CrossTransformers for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {475-484} }
Gradient-Based Algorithms for Machine Teaching: Pei Wang,

Kabir Nagrecha,

Nuno Vasconcelos; [pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Pei and Nagrecha, Kabir and Vasconcelos, Nuno}, title = {Gradient-Based Algorithms for Machine Teaching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1387-1396} }
MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing: Zhengjue Wang,

Hao Zhang,

Ziheng Cheng,

Bo Chen,

Xin Yuan; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Zhengjue and Zhang, Hao and Cheng, Ziheng and Chen, Bo and Yuan, Xin}, title = {MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2083-2092} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Quande and Chen, Cheng and Qin, Jing and Dou, Qi and Heng, Pheng-Ann}, title = {FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1013-1023} }
Modeling Multi-Label Action Dependencies for Temporal Action Localization: Praveen Tirupattur,

Kevin Duarte,

Yogesh S Rawat,

Mubarak Shah; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tirupattur_2021_CVPR, author = {Tirupattur, Praveen and Duarte, Kevin and Rawat, Yogesh S and Shah, Mubarak}, title = {Modeling Multi-Label Action Dependencies for Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1460-1470} }
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; [pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Ruibo and Lin, Guosheng and He, Tong and Liu, Fayao and Shen, Chunhua}, title = {HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {364-373} }
Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection: Wenfei Yang,

Tianzhu Zhang,

Xiaoyuan Yu,

Tian Qi,

Yongdong Zhang,

Feng Wu; [pdf]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Wenfei and Zhang, Tianzhu and Yu, Xiaoyuan and Qi, Tian and Zhang, Yongdong and Wu, Feng}, title = {Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {53-63} }
SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans: Angela Dai,

Yawar Siddiqui,

Justus Thies,

Julien Valentin,

Matthias Niessner; [pdf] [supp]
[bibtex]
@InProceedings{Dai_2021_CVPR, author = {Dai, Angela and Siddiqui, Yawar and Thies, Justus and Valentin, Julien and Niessner, Matthias}, title = {SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1747-1756} }
Fast and Accurate Model Scaling: Piotr Dollar,

Mannat Singh,

Ross Girshick; [pdf] [arXiv]
[bibtex]
@InProceedings{Dollar_2021_CVPR, author = {Dollar, Piotr and Singh, Mannat and Girshick, Ross}, title = {Fast and Accurate Model Scaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {924-932} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Lei and Gao, Ke and Cao, Juan and Huang, Ziyao and Weng, Yepeng and Mi, Xiaoyue and Yu, Zhengze and Li, Xiaoya and Xia, Boyang}, title = {Progressive Domain Expansion Network for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {224-233} }
Skip-Convolutions for Efficient Video Processing: Amirhossein Habibian,

Davide Abati,

Taco S. Cohen,

Babak Ehteshami Bejnordi; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Habibian_2021_CVPR, author = {Habibian, Amirhossein and Abati, Davide and Cohen, Taco S. and Bejnordi, Babak Ehteshami}, title = {Skip-Convolutions for Efficient Video Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2695-2704} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jiyoung and Chung, Soo-Whan and Kim, Sunok and Kang, Hong-Goo and Sohn, Kwanghoon}, title = {Looking Into Your Speech: Learning Cross-Modal Affinity for Audio-Visual Speech Separation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1336-1345} }
DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows: Valentin Wolf,

Andreas Lugmayr,

Martin Danelljan,

Luc Van Gool,

Radu Timofte; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wolf_2021_CVPR, author = {Wolf, Valentin and Lugmayr, Andreas and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, title = {DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {94-103} }
SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning: Colorado J Reed,

Sean Metzger,

Aravind Srinivas,

Trevor Darrell,

Kurt Keutzer; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Reed_2021_CVPR, author = {Reed, Colorado J and Metzger, Sean and Srinivas, Aravind and Darrell, Trevor and Keutzer, Kurt}, title = {SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2674-2683} }
Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks: Naoya Takahashi,

Yuki Mitsufuji; [pdf]
[bibtex]
@InProceedings{Takahashi_2021_CVPR, author = {Takahashi, Naoya and Mitsufuji, Yuki}, title = {Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {993-1002} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Li and Du, Liang and Ye, Xiaoqing and Fu, Yanwei and Guo, Guodong and Xue, Xiangyang and Feng, Jianfeng and Zhang, Li}, title = {Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {454-463} }
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; [pdf]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Zhiqiang and Liu, Zechun and Qin, Jie and Huang, Lei and Cheng, Kwang-Ting and Savvides, Marios}, title = {S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2165-2174} }
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; [pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Junzhe and Chen, Xinyi and Cai, Zhongang and Pan, Liang and Zhao, Haiyu and Yi, Shuai and Yeo, Chai Kiat and Dai, Bo and Loy, Chen Change}, title = {Unsupervised 3D Shape Completion Through GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1768-1777} }
MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training: Chengyue Gong,

Tongzheng Ren,

Mao Ye,

Qiang Liu; [pdf] [supp]
[bibtex]
@InProceedings{Gong_2021_CVPR, author = {Gong, Chengyue and Ren, Tongzheng and Ye, Mao and Liu, Qiang}, title = {MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2474-2483} }
PluckerNet: Learn To Register 3D Line Reconstructions: Liu Liu,

Hongdong Li,

Haodong Yao,

Ruyi Zha; [pdf]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Liu and Li, Hongdong and Yao, Haodong and Zha, Ruyi}, title = {PluckerNet: Learn To Register 3D Line Reconstructions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1842-1852} }
DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images: Joy Hsu,

Wah Chiu,

Serena Yeung; [pdf] [arXiv]
[bibtex]
@InProceedings{Hsu_2021_CVPR, author = {Hsu, Joy and Chiu, Wah and Yeung, Serena}, title = {DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1003-1012} }; Back