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Invertible Denoising Network: A Light Solution for Real Noise Removal
Yang Liu,
Zhenyue Qin,
Saeed Anwar,
Pan Ji,
Dongwoo Kim,
Sabrina Caldwell,
Tom Gedeon
[pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yang and Qin, Zhenyue and Anwar, Saeed and Ji, Pan and Kim, Dongwoo and Caldwell, Sabrina and Gedeon, Tom}, title = {Invertible Denoising Network: A Light Solution for Real Noise Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13365-13374} }

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} }

Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation
Guang Feng,
Zhiwei Hu,
Lihe Zhang,
Huchuan Lu
[pdf] [arXiv]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Guang and Hu, Zhiwei and Zhang, Lihe and Lu, Huchuan}, title = {Encoder Fusion Network With Co-Attention Embedding for Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15506-15515} }

Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo
Seung-Hwan Baek,
Felix Heide
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Baek_2021_CVPR, author = {Baek, Seung-Hwan and Heide, Felix}, title = {Polka Lines: Learning Structured Illumination and Reconstruction for Active Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5757-5767} }

Image Inpainting With External-Internal Learning and Monochromic Bottleneck
Tengfei Wang,
Hao Ouyang,
Qifeng Chen
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Tengfei and Ouyang, Hao and Chen, Qifeng}, title = {Image Inpainting With External-Internal Learning and Monochromic Bottleneck}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5120-5129} }

Patch2Pix: Epipolar-Guided Pixel-Level Correspondences
Qunjie Zhou,
Torsten Sattler,
Laura Leal-Taixe
[pdf] [supp]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Qunjie and Sattler, Torsten and Leal-Taixe, Laura}, title = {Patch2Pix: Epipolar-Guided Pixel-Level Correspondences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4669-4678} }

Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer
Yulin Li,
Jianfeng He,
Tianzhu Zhang,
Xiang Liu,
Yongdong Zhang,
Feng Wu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Yulin and He, Jianfeng and Zhang, Tianzhu and Liu, Xiang and Zhang, Yongdong and Wu, Feng}, title = {Diverse Part Discovery: Occluded Person Re-Identification With Part-Aware Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2898-2907} }

Counterfactual Zero-Shot and Open-Set Visual Recognition
Zhongqi Yue,
Tan Wang,
Qianru Sun,
Xian-Sheng Hua,
Hanwang Zhang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yue_2021_CVPR, author = {Yue, Zhongqi and Wang, Tan and Sun, Qianru and Hua, Xian-Sheng and Zhang, Hanwang}, title = {Counterfactual Zero-Shot and Open-Set Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15404-15414} }

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} }

Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition
Stephen Hausler,
Sourav Garg,
Ming Xu,
Michael Milford,
Tobias Fischer
[pdf] [supp]
[bibtex]
@InProceedings{Hausler_2021_CVPR, author = {Hausler, Stephen and Garg, Sourav and Xu, Ming and Milford, Michael and Fischer, Tobias}, title = {Patch-NetVLAD: Multi-Scale Fusion of Locally-Global Descriptors for Place Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14141-14152} }

Visually Informed Binaural Audio Generation without Binaural Audios
Xudong Xu,
Hang Zhou,
Ziwei Liu,
Bo Dai,
Xiaogang Wang,
Dahua Lin
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Xudong and Zhou, Hang and Liu, Ziwei and Dai, Bo and Wang, Xiaogang and Lin, Dahua}, title = {Visually Informed Binaural Audio Generation without Binaural Audios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15485-15494} }

Dual Attention Guided Gaze Target Detection in the Wild
Yi Fang,
Jiapeng Tang,
Wang Shen,
Wei Shen,
Xiao Gu,
Li Song,
Guangtao Zhai
[pdf]
[bibtex]
@InProceedings{Fang_2021_CVPR, author = {Fang, Yi and Tang, Jiapeng and Shen, Wang and Shen, Wei and Gu, Xiao and Song, Li and Zhai, Guangtao}, title = {Dual Attention Guided Gaze Target Detection in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11390-11399} }

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} }

Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling
Wei Ji,
Shuang Yu,
Junde Wu,
Kai Ma,
Cheng Bian,
Qi Bi,
Jingjing Li,
Hanruo Liu,
Li Cheng,
Yefeng Zheng
[pdf]
[bibtex]
@InProceedings{Ji_2021_CVPR, author = {Ji, Wei and Yu, Shuang and Wu, Junde and Ma, Kai and Bian, Cheng and Bi, Qi and Li, Jingjing and Liu, Hanruo and Cheng, Li and Zheng, Yefeng}, title = {Learning Calibrated Medical Image Segmentation via Multi-Rater Agreement Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12341-12351} }

Points As Queries: Weakly Semi-Supervised Object Detection by Points
Liangyu Chen,
Tong Yang,
Xiangyu Zhang,
Wei Zhang,
Jian Sun
[pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Liangyu and Yang, Tong and Zhang, Xiangyu and Zhang, Wei and Sun, Jian}, title = {Points As Queries: Weakly Semi-Supervised Object Detection by Points}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8823-8832} }

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} }

Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection
Zhenyu Wang,
Yali Li,
Ye Guo,
Lu Fang,
Shengjin Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Zhenyu and Li, Yali and Guo, Ye and Fang, Lu and Wang, Shengjin}, title = {Data-Uncertainty Guided Multi-Phase Learning for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4568-4577} }

Prototype-Guided Saliency Feature Learning for Person Search
Hanjae Kim,
Sunghun Joung,
Ig-Jae Kim,
Kwanghoon Sohn
[pdf]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Hanjae and Joung, Sunghun and Kim, Ig-Jae and Sohn, Kwanghoon}, title = {Prototype-Guided Saliency Feature Learning for Person Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4865-4874} }

Contrastive Learning for Compact Single Image Dehazing
Haiyan Wu,
Yanyun Qu,
Shaohui Lin,
Jian Zhou,
Ruizhi Qiao,
Zhizhong Zhang,
Yuan Xie,
Lizhuang Ma
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wu_2021_CVPR, author = {Wu, Haiyan and Qu, Yanyun and Lin, Shaohui and Zhou, Jian and Qiao, Ruizhi and Zhang, Zhizhong and Xie, Yuan and Ma, Lizhuang}, title = {Contrastive Learning for Compact Single Image Dehazing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10551-10560} }

I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors
Chaoqi Chen,
Zebiao Zheng,
Yue Huang,
Xinghao Ding,
Yizhou Yu
[pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Chaoqi and Zheng, Zebiao and Huang, Yue and Ding, Xinghao and Yu, Yizhou}, title = {I3Net: Implicit Instance-Invariant Network for Adapting One-Stage Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12576-12585} }

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} }

Pixel-Aligned Volumetric Avatars
Amit Raj,
Michael Zollhofer,
Tomas Simon,
Jason Saragih,
Shunsuke Saito,
James Hays,
Stephen Lombardi
[pdf] [supp]
[bibtex]
@InProceedings{Raj_2021_CVPR, author = {Raj, Amit and Zollhofer, Michael and Simon, Tomas and Saragih, Jason and Saito, Shunsuke and Hays, James and Lombardi, Stephen}, title = {Pixel-Aligned Volumetric Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11733-11742} }

UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training
Mingyang Zhou,
Luowei Zhou,
Shuohang Wang,
Yu Cheng,
Linjie Li,
Zhou Yu,
Jingjing Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Mingyang and Zhou, Luowei and Wang, Shuohang and Cheng, Yu and Li, Linjie and Yu, Zhou and Liu, Jingjing}, title = {UC2: Universal Cross-Lingual Cross-Modal Vision-and-Language Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4155-4165} }

Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification
Jianwen Xie,
Yifei Xu,
Zilong Zheng,
Song-Chun Zhu,
Ying Nian Wu
[pdf] [arXiv]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Jianwen and Xu, Yifei and Zheng, Zilong and Zhu, Song-Chun and Wu, Ying Nian}, title = {Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14976-14985} }

Blur, Noise, and Compression Robust Generative Adversarial Networks
Takuhiro Kaneko,
Tatsuya Harada
[pdf] [arXiv]
[bibtex]
@InProceedings{Kaneko_2021_CVPR, author = {Kaneko, Takuhiro and Harada, Tatsuya}, title = {Blur, Noise, and Compression Robust Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13579-13589} }

Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect
Athena Sayles,
Ashish Hooda,
Mohit Gupta,
Rahul Chatterjee,
Earlence Fernandes
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sayles_2021_CVPR, author = {Sayles, Athena and Hooda, Ashish and Gupta, Mohit and Chatterjee, Rahul and Fernandes, Earlence}, title = {Invisible Perturbations: Physical Adversarial Examples Exploiting the Rolling Shutter Effect}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14666-14675} }

Introvert: Human Trajectory Prediction via Conditional 3D Attention
Nasim Shafiee,
Taskin Padir,
Ehsan Elhamifar
[pdf] [supp]
[bibtex]
@InProceedings{Shafiee_2021_CVPR, author = {Shafiee, Nasim and Padir, Taskin and Elhamifar, Ehsan}, title = {Introvert: Human Trajectory Prediction via Conditional 3D Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16815-16825} }

Camouflaged Object Segmentation With Distraction Mining
Haiyang Mei,
Ge-Peng Ji,
Ziqi Wei,
Xin Yang,
Xiaopeng Wei,
Deng-Ping Fan
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mei_2021_CVPR, author = {Mei, Haiyang and Ji, Ge-Peng and Wei, Ziqi and Yang, Xin and Wei, Xiaopeng and Fan, Deng-Ping}, title = {Camouflaged Object Segmentation With Distraction Mining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8772-8781} }

RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction
Yinyu Nie,
Ji Hou,
Xiaoguang Han,
Matthias Niessner
[pdf] [supp]
[bibtex]
@InProceedings{Nie_2021_CVPR, author = {Nie, Yinyu and Hou, Ji and Han, Xiaoguang and Niessner, Matthias}, title = {RfD-Net: Point Scene Understanding by Semantic Instance Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4608-4618} }

In the Light of Feature Distributions: Moment Matching for Neural Style Transfer
Nikolai Kalischek,
Jan D. Wegner,
Konrad Schindler
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kalischek_2021_CVPR, author = {Kalischek, Nikolai and Wegner, Jan D. and Schindler, Konrad}, title = {In the Light of Feature Distributions: Moment Matching for Neural Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9382-9391} }

DOTS: Decoupling Operation and Topology in Differentiable Architecture Search
Yu-Chao Gu,
Li-Juan Wang,
Yun Liu,
Yi Yang,
Yu-Huan Wu,
Shao-Ping Lu,
Ming-Ming Cheng
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gu_2021_CVPR, author = {Gu, Yu-Chao and Wang, Li-Juan and Liu, Yun and Yang, Yi and Wu, Yu-Huan and Lu, Shao-Ping and Cheng, Ming-Ming}, title = {DOTS: Decoupling Operation and Topology in Differentiable Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12311-12320} }

DriveGAN: Towards a Controllable High-Quality Neural Simulation
Seung Wook Kim,
Jonah Philion,
Antonio Torralba,
Sanja Fidler
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Seung Wook and Philion, Jonah and Torralba, Antonio and Fidler, Sanja}, title = {DriveGAN: Towards a Controllable High-Quality Neural Simulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5820-5829} }

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} }

Wide-Depth-Range 6D Object Pose Estimation in Space
Yinlin Hu,
Sebastien Speierer,
Wenzel Jakob,
Pascal Fua,
Mathieu Salzmann
[pdf] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Yinlin and Speierer, Sebastien and Jakob, Wenzel and Fua, Pascal and Salzmann, Mathieu}, title = {Wide-Depth-Range 6D Object Pose Estimation in Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15870-15879} }

Learning Salient Boundary Feature for Anchor-free Temporal Action Localization
Chuming Lin,
Chengming Xu,
Donghao Luo,
Yabiao Wang,
Ying Tai,
Chengjie Wang,
Jilin Li,
Feiyue Huang,
Yanwei Fu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Chuming and Xu, Chengming and Luo, Donghao and Wang, Yabiao and Tai, Ying and Wang, Chengjie and Li, Jilin and Huang, Feiyue and Fu, Yanwei}, title = {Learning Salient Boundary Feature for Anchor-free Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3320-3329} }

Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model
Julian Lienen,
Eyke Hullermeier,
Ralph Ewerth,
Nils Nommensen
[pdf] [supp]
[bibtex]
@InProceedings{Lienen_2021_CVPR, author = {Lienen, Julian and Hullermeier, Eyke and Ewerth, Ralph and Nommensen, Nils}, title = {Monocular Depth Estimation via Listwise Ranking Using the Plackett-Luce Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14595-14604} }

Holistic 3D Scene Understanding From a Single Image With Implicit Representation
Cheng Zhang,
Zhaopeng Cui,
Yinda Zhang,
Bing Zeng,
Marc Pollefeys,
Shuaicheng Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Cheng and Cui, Zhaopeng and Zhang, Yinda and Zeng, Bing and Pollefeys, Marc and Liu, Shuaicheng}, title = {Holistic 3D Scene Understanding From a Single Image With Implicit Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8833-8842} }

MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization
Jiahui Huang,
He Wang,
Tolga Birdal,
Minhyuk Sung,
Federica Arrigoni,
Shi-Min Hu,
Leonidas J. Guibas
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Jiahui and Wang, He and Birdal, Tolga and Sung, Minhyuk and Arrigoni, Federica and Hu, Shi-Min and Guibas, Leonidas J.}, title = {MultiBodySync: Multi-Body Segmentation and Motion Estimation via 3D Scan Synchronization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7108-7118} }

Learning Optical Flow From a Few Matches
Shihao Jiang,
Yao Lu,
Hongdong Li,
Richard Hartley
[pdf] [arXiv]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Shihao and Lu, Yao and Li, Hongdong and Hartley, Richard}, title = {Learning Optical Flow From a Few Matches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16592-16600} }

Learnable Motion Coherence for Correspondence Pruning
Yuan Liu,
Lingjie Liu,
Cheng Lin,
Zhen Dong,
Wenping Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yuan and Liu, Lingjie and Lin, Cheng and Dong, Zhen and Wang, Wenping}, title = {Learnable Motion Coherence for Correspondence Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3237-3246} }

ManipulaTHOR: A Framework for Visual Object Manipulation
Kiana Ehsani,
Winson Han,
Alvaro Herrasti,
Eli VanderBilt,
Luca Weihs,
Eric Kolve,
Aniruddha Kembhavi,
Roozbeh Mottaghi
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ehsani_2021_CVPR, author = {Ehsani, Kiana and Han, Winson and Herrasti, Alvaro and VanderBilt, Eli and Weihs, Luca and Kolve, Eric and Kembhavi, Aniruddha and Mottaghi, Roozbeh}, title = {ManipulaTHOR: A Framework for Visual Object Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4497-4506} }

DeepI2P: Image-to-Point Cloud Registration via Deep Classification
Jiaxin Li,
Gim Hee Lee
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jiaxin and Lee, Gim Hee}, title = {DeepI2P: Image-to-Point Cloud Registration via Deep Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15960-15969} }

Scene-Intuitive Agent for Remote Embodied Visual Grounding
Xiangru Lin,
Guanbin Li,
Yizhou Yu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Xiangru and Li, Guanbin and Yu, Yizhou}, title = {Scene-Intuitive Agent for Remote Embodied Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7036-7045} }

Human-Like Controllable Image Captioning With Verb-Specific Semantic Roles
Long Chen,
Zhihong Jiang,
Jun Xiao,
Wei Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Long and Jiang, Zhihong and Xiao, Jun and Liu, Wei}, title = {Human-Like Controllable Image Captioning With Verb-Specific Semantic Roles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16846-16856} }

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} }

HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms
Mahmoud Afifi,
Marcus A. Brubaker,
Michael S. Brown
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Afifi_2021_CVPR, author = {Afifi, Mahmoud and Brubaker, Marcus A. and Brown, Michael S.}, title = {HistoGAN: Controlling Colors of GAN-Generated and Real Images via Color Histograms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7941-7950} }

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} }

Probabilistic Model Distillation for Semantic Correspondence
Xin Li,
Deng-Ping Fan,
Fan Yang,
Ao Luo,
Hong Cheng,
Zicheng Liu
[pdf]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Xin and Fan, Deng-Ping and Yang, Fan and Luo, Ao and Cheng, Hong and Liu, Zicheng}, title = {Probabilistic Model Distillation for Semantic Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7505-7514} }

OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets
Zhengqin Li,
Ting-Wei Yu,
Shen Sang,
Sarah Wang,
Meng Song,
Yuhan Liu,
Yu-Ying Yeh,
Rui Zhu,
Nitesh Gundavarapu,
Jia Shi,
Sai Bi,
Hong-Xing Yu,
Zexiang Xu,
Kalyan Sunkavalli,
Milos Hasan,
Ravi Ramamoorthi,
Manmohan Chandraker
[pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zhengqin and Yu, Ting-Wei and Sang, Shen and Wang, Sarah and Song, Meng and Liu, Yuhan and Yeh, Yu-Ying and Zhu, Rui and Gundavarapu, Nitesh and Shi, Jia and Bi, Sai and Yu, Hong-Xing and Xu, Zexiang and Sunkavalli, Kalyan and Hasan, Milos and Ramamoorthi, Ravi and Chandraker, Manmohan}, title = {OpenRooms: An Open Framework for Photorealistic Indoor Scene Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7190-7199} }

SSAN: Separable Self-Attention Network for Video Representation Learning
Xudong Guo,
Xun Guo,
Yan Lu
[pdf] [arXiv]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Xudong and Guo, Xun and Lu, Yan}, title = {SSAN: Separable Self-Attention Network for Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12618-12627} }

4D Panoptic LiDAR Segmentation
Mehmet Aygun,
Aljosa Osep,
Mark Weber,
Maxim Maximov,
Cyrill Stachniss,
Jens Behley,
Laura Leal-Taixe
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aygun_2021_CVPR, author = {Aygun, Mehmet and Osep, Aljosa and Weber, Mark and Maximov, Maxim and Stachniss, Cyrill and Behley, Jens and Leal-Taixe, Laura}, title = {4D Panoptic LiDAR Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5527-5537} }

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} }

Natural Adversarial Examples
Dan Hendrycks,
Kevin Zhao,
Steven Basart,
Jacob Steinhardt,
Dawn Song
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hendrycks_2021_CVPR, author = {Hendrycks, Dan and Zhao, Kevin and Basart, Steven and Steinhardt, Jacob and Song, Dawn}, title = {Natural Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15262-15271} }

CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models
Mengyue Yang,
Furui Liu,
Zhitang Chen,
Xinwei Shen,
Jianye Hao,
Jun Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Mengyue and Liu, Furui and Chen, Zhitang and Shen, Xinwei and Hao, Jianye and Wang, Jun}, title = {CausalVAE: Disentangled Representation Learning via Neural Structural Causal Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9593-9602} }

VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples
Tian Pan,
Yibing Song,
Tianyu Yang,
Wenhao Jiang,
Wei Liu
[pdf] [arXiv]
[bibtex]
@InProceedings{Pan_2021_CVPR, author = {Pan, Tian and Song, Yibing and Yang, Tianyu and Jiang, Wenhao and Liu, Wei}, title = {VideoMoCo: Contrastive Video Representation Learning With Temporally Adversarial Examples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11205-11214} }

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} }

Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes
Julian Chibane,
Aayush Bansal,
Verica Lazova,
Gerard Pons-Moll
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chibane_2021_CVPR, author = {Chibane, Julian and Bansal, Aayush and Lazova, Verica and Pons-Moll, Gerard}, title = {Stereo Radiance Fields (SRF): Learning View Synthesis for Sparse Views of Novel Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7911-7920} }

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} }

SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation
Giovanni Pintore,
Marco Agus,
Eva Almansa,
Jens Schneider,
Enrico Gobbetti
[pdf] [supp]
[bibtex]
@InProceedings{Pintore_2021_CVPR, author = {Pintore, Giovanni and Agus, Marco and Almansa, Eva and Schneider, Jens and Gobbetti, Enrico}, title = {SliceNet: Deep Dense Depth Estimation From a Single Indoor Panorama Using a Slice-Based Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11536-11545} }

Offboard 3D Object Detection From Point Cloud Sequences
Charles R. Qi,
Yin Zhou,
Mahyar Najibi,
Pei Sun,
Khoa Vo,
Boyang Deng,
Dragomir Anguelov
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Qi_2021_CVPR, author = {Qi, Charles R. and Zhou, Yin and Najibi, Mahyar and Sun, Pei and Vo, Khoa and Deng, Boyang and Anguelov, Dragomir}, title = {Offboard 3D Object Detection From Point Cloud Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6134-6144} }

STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering
Wentao Yuan,
Zhaoyang Lv,
Tanner Schmidt,
Steven Lovegrove
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yuan_2021_CVPR, author = {Yuan, Wentao and Lv, Zhaoyang and Schmidt, Tanner and Lovegrove, Steven}, title = {STaR: Self-Supervised Tracking and Reconstruction of Rigid Objects in Motion With Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13144-13152} }

Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections
Prashant Pandey,
Mrigank Raman,
Sumanth Varambally,
Prathosh AP
[pdf] [supp]
[bibtex]
@InProceedings{Pandey_2021_CVPR, author = {Pandey, Prashant and Raman, Mrigank and Varambally, Sumanth and AP, Prathosh}, title = {Generalization on Unseen Domains via Inference-Time Label-Preserving Target Projections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12924-12933} }

Monocular 3D Object Detection: An Extrinsic Parameter Free Approach
Yunsong Zhou,
Yuan He,
Hongzi Zhu,
Cheng Wang,
Hongyang Li,
Qinhong Jiang
[pdf]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yunsong and He, Yuan and Zhu, Hongzi and Wang, Cheng and Li, Hongyang and Jiang, Qinhong}, title = {Monocular 3D Object Detection: An Extrinsic Parameter Free Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7556-7566} }

Communication Efficient SGD via Gradient Sampling With Bayes Prior
Liuyihan Song,
Kang Zhao,
Pan Pan,
Yu Liu,
Yingya Zhang,
Yinghui Xu,
Rong Jin
[pdf]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Liuyihan and Zhao, Kang and Pan, Pan and Liu, Yu and Zhang, Yingya and Xu, Yinghui and Jin, Rong}, title = {Communication Efficient SGD via Gradient Sampling With Bayes Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12065-12074} }

AdaBins: Depth Estimation Using Adaptive Bins
Shariq Farooq Bhat,
Ibraheem Alhashim,
Peter Wonka
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhat_2021_CVPR, author = {Bhat, Shariq Farooq and Alhashim, Ibraheem and Wonka, Peter}, title = {AdaBins: Depth Estimation Using Adaptive Bins}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4009-4018} }

VirFace: Enhancing Face Recognition via Unlabeled Shallow Data
Wenyu Li,
Tianchu Guo,
Pengyu Li,
Binghui Chen,
Biao Wang,
Wangmeng Zuo,
Lei Zhang
[pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Wenyu and Guo, Tianchu and Li, Pengyu and Chen, Binghui and Wang, Biao and Zuo, Wangmeng and Zhang, Lei}, title = {VirFace: Enhancing Face Recognition via Unlabeled Shallow Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14729-14738} }

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} }

Visualizing Adapted Knowledge in Domain Transfer
Yunzhong Hou,
Liang Zheng
[pdf] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Yunzhong and Zheng, Liang}, title = {Visualizing Adapted Knowledge in Domain Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13824-13833} }

Delving into Data: Effectively Substitute Training for Black-box Attack
Wenxuan Wang,
Bangjie Yin,
Taiping Yao,
Li Zhang,
Yanwei Fu,
Shouhong Ding,
Jilin Li,
Feiyue Huang,
Xiangyang Xue
[pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Wenxuan and Yin, Bangjie and Yao, Taiping and Zhang, Li and Fu, Yanwei and Ding, Shouhong and Li, Jilin and Huang, Feiyue and Xue, Xiangyang}, title = {Delving into Data: Effectively Substitute Training for Black-box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4761-4770} }

How To Exploit the Transferability of Learned Image Compression to Conventional Codecs
Jan P. Klopp,
Keng-Chi Liu,
Liang-Gee Chen,
Shao-Yi Chien
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Klopp_2021_CVPR, author = {Klopp, Jan P. and Liu, Keng-Chi and Chen, Liang-Gee and Chien, Shao-Yi}, title = {How To Exploit the Transferability of Learned Image Compression to Conventional Codecs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16165-16174} }

CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds
Yiming Zeng,
Yue Qian,
Zhiyu Zhu,
Junhui Hou,
Hui Yuan,
Ying He
[pdf] [arXiv]
[bibtex]
@InProceedings{Zeng_2021_CVPR, author = {Zeng, Yiming and Qian, Yue and Zhu, Zhiyu and Hou, Junhui and Yuan, Hui and He, Ying}, title = {CorrNet3D: Unsupervised End-to-End Learning of Dense Correspondence for 3D Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6052-6061} }

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} }

Harmonious Semantic Line Detection via Maximal Weight Clique Selection
Dongkwon Jin,
Wonhui Park,
Seong-Gyun Jeong,
Chang-Su Kim
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jin_2021_CVPR, author = {Jin, Dongkwon and Park, Wonhui and Jeong, Seong-Gyun and Kim, Chang-Su}, title = {Harmonious Semantic Line Detection via Maximal Weight Clique Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16737-16745} }

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} }

Progressive Temporal Feature Alignment Network for Video Inpainting
Xueyan Zou,
Linjie Yang,
Ding Liu,
Yong Jae Lee
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zou_2021_CVPR, author = {Zou, Xueyan and Yang, Linjie and Liu, Ding and Lee, Yong Jae}, title = {Progressive Temporal Feature Alignment Network for Video Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16448-16457} }

Bottleneck Transformers for Visual Recognition
Aravind Srinivas,
Tsung-Yi Lin,
Niki Parmar,
Jonathon Shlens,
Pieter Abbeel,
Ashish Vaswani
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Srinivas_2021_CVPR, author = {Srinivas, Aravind and Lin, Tsung-Yi and Parmar, Niki and Shlens, Jonathon and Abbeel, Pieter and Vaswani, Ashish}, title = {Bottleneck Transformers for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16519-16529} }

Calibrated RGB-D Salient Object Detection
Wei Ji,
Jingjing Li,
Shuang Yu,
Miao Zhang,
Yongri Piao,
Shunyu Yao,
Qi Bi,
Kai Ma,
Yefeng Zheng,
Huchuan Lu,
Li Cheng
[pdf]
[bibtex]
@InProceedings{Ji_2021_CVPR, author = {Ji, Wei and Li, Jingjing and Yu, Shuang and Zhang, Miao and Piao, Yongri and Yao, Shunyu and Bi, Qi and Ma, Kai and Zheng, Yefeng and Lu, Huchuan and Cheng, Li}, title = {Calibrated RGB-D Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9471-9481} }

S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling
Ze Yang,
Shenlong Wang,
Sivabalan Manivasagam,
Zeng Huang,
Wei-Chiu Ma,
Xinchen Yan,
Ersin Yumer,
Raquel Urtasun
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Ze and Wang, Shenlong and Manivasagam, Sivabalan and Huang, Zeng and Ma, Wei-Chiu and Yan, Xinchen and Yumer, Ersin and Urtasun, Raquel}, title = {S3: Neural Shape, Skeleton, and Skinning Fields for 3D Human Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13284-13293} }

OSTeC: One-Shot Texture Completion
Baris Gecer,
Jiankang Deng,
Stefanos Zafeiriou
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gecer_2021_CVPR, author = {Gecer, Baris and Deng, Jiankang and Zafeiriou, Stefanos}, title = {OSTeC: One-Shot Texture Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7628-7638} }

Learning To Count Everything
Viresh Ranjan,
Udbhav Sharma,
Thu Nguyen,
Minh Hoai
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ranjan_2021_CVPR, author = {Ranjan, Viresh and Sharma, Udbhav and Nguyen, Thu and Hoai, Minh}, title = {Learning To Count Everything}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3394-3403} }

Robust Representation Learning With Feedback for Single Image Deraining
Chenghao Chen,
Hao Li
[pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Chenghao and Li, Hao}, title = {Robust Representation Learning With Feedback for Single Image Deraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7742-7751} }

Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction
Feng Liu,
Luan Tran,
Xiaoming Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Feng and Tran, Luan and Liu, Xiaoming}, title = {Fully Understanding Generic Objects: Modeling, Segmentation, and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7423-7433} }

SSN: Soft Shadow Network for Image Compositing
Yichen Sheng,
Jianming Zhang,
Bedrich Benes
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sheng_2021_CVPR, author = {Sheng, Yichen and Zhang, Jianming and Benes, Bedrich}, title = {SSN: Soft Shadow Network for Image Compositing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4380-4390} }

MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection
Jia-Chang Feng,
Fa-Ting Hong,
Wei-Shi Zheng
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Feng_2021_CVPR, author = {Feng, Jia-Chang and Hong, Fa-Ting and Zheng, Wei-Shi}, title = {MIST: Multiple Instance Self-Training Framework for Video Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14009-14018} }

VinVL: Revisiting Visual Representations in Vision-Language Models
Pengchuan Zhang,
Xiujun Li,
Xiaowei Hu,
Jianwei Yang,
Lei Zhang,
Lijuan Wang,
Yejin Choi,
Jianfeng Gao
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Pengchuan and Li, Xiujun and Hu, Xiaowei and Yang, Jianwei and Zhang, Lei and Wang, Lijuan and Choi, Yejin and Gao, Jianfeng}, title = {VinVL: Revisiting Visual Representations in Vision-Language Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5579-5588} }

Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression
Zigang Geng,
Ke Sun,
Bin Xiao,
Zhaoxiang Zhang,
Jingdong Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Geng_2021_CVPR, author = {Geng, Zigang and Sun, Ke and Xiao, Bin and Zhang, Zhaoxiang and Wang, Jingdong}, title = {Bottom-Up Human Pose Estimation via Disentangled Keypoint Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14676-14686} }

CoMoGAN: Continuous Model-Guided Image-to-Image Translation
Fabio Pizzati,
Pietro Cerri,
Raoul de Charette
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pizzati_2021_CVPR, author = {Pizzati, Fabio and Cerri, Pietro and de Charette, Raoul}, title = {CoMoGAN: Continuous Model-Guided Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14288-14298} }

Self-Supervised Video Hashing via Bidirectional Transformers
Shuyan Li,
Xiu Li,
Jiwen Lu,
Jie Zhou
[pdf]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Shuyan and Li, Xiu and Lu, Jiwen and Zhou, Jie}, title = {Self-Supervised Video Hashing via Bidirectional Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13549-13558} }

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} }

Safe Local Motion Planning With Self-Supervised Freespace Forecasting
Peiyun Hu,
Aaron Huang,
John Dolan,
David Held,
Deva Ramanan
[pdf] [supp]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Peiyun and Huang, Aaron and Dolan, John and Held, David and Ramanan, Deva}, title = {Safe Local Motion Planning With Self-Supervised Freespace Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12732-12741} }

Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration
Xingyu Chen,
Yufeng Liu,
Chongyang Ma,
Jianlong Chang,
Huayan Wang,
Tian Chen,
Xiaoyan Guo,
Pengfei Wan,
Wen Zheng
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xingyu and Liu, Yufeng and Ma, Chongyang and Chang, Jianlong and Wang, Huayan and Chen, Tian and Guo, Xiaoyan and Wan, Pengfei and Zheng, Wen}, title = {Camera-Space Hand Mesh Recovery via Semantic Aggregation and Adaptive 2D-1D Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13274-13283} }

CondenseNet V2: Sparse Feature Reactivation for Deep Networks
Le Yang,
Haojun Jiang,
Ruojin Cai,
Yulin Wang,
Shiji Song,
Gao Huang,
Qi Tian
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Le and Jiang, Haojun and Cai, Ruojin and Wang, Yulin and Song, Shiji and Huang, Gao and Tian, Qi}, title = {CondenseNet V2: Sparse Feature Reactivation for Deep Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3569-3578} }

Learning Graphs for Knowledge Transfer With Limited Labels
Pallabi Ghosh,
Nirat Saini,
Larry S. Davis,
Abhinav Shrivastava
[pdf] [supp]
[bibtex]
@InProceedings{Ghosh_2021_CVPR, author = {Ghosh, Pallabi and Saini, Nirat and Davis, Larry S. and Shrivastava, Abhinav}, title = {Learning Graphs for Knowledge Transfer With Limited Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11151-11161} }

DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation
Seunghun Lee,
Sunghyun Cho,
Sunghoon Im
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Seunghun and Cho, Sunghyun and Im, Sunghoon}, title = {DRANet: Disentangling Representation and Adaptation Networks for Unsupervised Cross-Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15252-15261} }

Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding
Binbin Huang,
Dongze Lian,
Weixin Luo,
Shenghua Gao
[pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Binbin and Lian, Dongze and Luo, Weixin and Gao, Shenghua}, title = {Look Before You Leap: Learning Landmark Features for One-Stage Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16888-16897} }

Information Bottleneck Disentanglement for Identity Swapping
Gege Gao,
Huaibo Huang,
Chaoyou Fu,
Zhaoyang Li,
Ran He
[pdf] [supp]
[bibtex]
@InProceedings{Gao_2021_CVPR, author = {Gao, Gege and Huang, Huaibo and Fu, Chaoyou and Li, Zhaoyang and He, Ran}, title = {Information Bottleneck Disentanglement for Identity Swapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3404-3413} }

DualGraph: A Graph-Based Method for Reasoning About Label Noise
HaiYang Zhang,
XiMing Xing,
Liang Liu
[pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, HaiYang and Xing, XiMing and Liu, Liang}, title = {DualGraph: A Graph-Based Method for Reasoning About Label Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9654-9663} }

Automatic Correction of Internal Units in Generative Neural Networks
Ali Tousi,
Haedong Jeong,
Jiyeon Han,
Hwanil Choi,
Jaesik Choi
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tousi_2021_CVPR, author = {Tousi, Ali and Jeong, Haedong and Han, Jiyeon and Choi, Hwanil and Choi, Jaesik}, title = {Automatic Correction of Internal Units in Generative Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7932-7940} }

Generating Manga From Illustrations via Mimicking Manga Creation Workflow
Lvmin Zhang,
Xinrui Wang,
Qingnan Fan,
Yi Ji,
Chunping Liu
[pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Lvmin and Wang, Xinrui and Fan, Qingnan and Ji, Yi and Liu, Chunping}, title = {Generating Manga From Illustrations via Mimicking Manga Creation Workflow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5642-5651} }

Multi-Decoding Deraining Network and Quasi-Sparsity Based Training
Yinglong Wang,
Chao Ma,
Bing Zeng
[pdf]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Yinglong and Ma, Chao and Zeng, Bing}, title = {Multi-Decoding Deraining Network and Quasi-Sparsity Based Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13375-13384} }

Open-Vocabulary Object Detection Using Captions
Alireza Zareian,
Kevin Dela Rosa,
Derek Hao Hu,
Shih-Fu Chang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zareian_2021_CVPR, author = {Zareian, Alireza and Rosa, Kevin Dela and Hu, Derek Hao and Chang, Shih-Fu}, title = {Open-Vocabulary Object Detection Using Captions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14393-14402} }

Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization
Xingjia Pan,
Yingguo Gao,
Zhiwen Lin,
Fan Tang,
Weiming Dong,
Haolei Yuan,
Feiyue Huang,
Changsheng Xu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pan_2021_CVPR, author = {Pan, Xingjia and Gao, Yingguo and Lin, Zhiwen and Tang, Fan and Dong, Weiming and Yuan, Haolei and Huang, Feiyue and Xu, Changsheng}, title = {Unveiling the Potential of Structure Preserving for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11642-11651} }

From Points to Multi-Object 3D Reconstruction
Francis Engelmann,
Konstantinos Rematas,
Bastian Leibe,
Vittorio Ferrari
[pdf] [arXiv]
[bibtex]
@InProceedings{Engelmann_2021_CVPR, author = {Engelmann, Francis and Rematas, Konstantinos and Leibe, Bastian and Ferrari, Vittorio}, title = {From Points to Multi-Object 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4588-4597} }

Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning
Bin Li,
Yin Li,
Kevin W. Eliceiri
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Bin and Li, Yin and Eliceiri, Kevin W.}, title = {Dual-Stream Multiple Instance Learning Network for Whole Slide Image Classification With Self-Supervised Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14318-14328} }

Regressive Domain Adaptation for Unsupervised Keypoint Detection
Junguang Jiang,
Yifei Ji,
Ximei Wang,
Yufeng Liu,
Jianmin Wang,
Mingsheng Long
[pdf] [arXiv]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Junguang and Ji, Yifei and Wang, Ximei and Liu, Yufeng and Wang, Jianmin and Long, Mingsheng}, title = {Regressive Domain Adaptation for Unsupervised Keypoint Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6780-6789} }

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} }

Monocular Reconstruction of Neural Face Reflectance Fields
Mallikarjun B R,
Ayush Tewari,
Tae-Hyun Oh,
Tim Weyrich,
Bernd Bickel,
Hans-Peter Seidel,
Hanspeter Pfister,
Wojciech Matusik,
Mohamed Elgharib,
Christian Theobalt
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{R_2021_CVPR, author = {R, Mallikarjun B and Tewari, Ayush and Oh, Tae-Hyun and Weyrich, Tim and Bickel, Bernd and Seidel, Hans-Peter and Pfister, Hanspeter and Matusik, Wojciech and Elgharib, Mohamed and Theobalt, Christian}, title = {Monocular Reconstruction of Neural Face Reflectance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4791-4800} }

SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network
Xu Yang,
Cheng Deng,
Zhiyuan Dang,
Kun Wei,
Junchi Yan
[pdf]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Xu and Deng, Cheng and Dang, Zhiyuan and Wei, Kun and Yan, Junchi}, title = {SelfSAGCN: Self-Supervised Semantic Alignment for Graph Convolution Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16775-16784} }

ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning
Chaofan Chen,
Xiaoshan Yang,
Changsheng Xu,
Xuhui Huang,
Zhe Ma
[pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Chaofan and Yang, Xiaoshan and Xu, Changsheng and Huang, Xuhui and Ma, Zhe}, title = {ECKPN: Explicit Class Knowledge Propagation Network for Transductive Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6596-6605} }

Coarse-Fine Networks for Temporal Activity Detection in Videos
Kumara Kahatapitiya,
Michael S. Ryoo
[pdf] [arXiv]
[bibtex]
@InProceedings{Kahatapitiya_2021_CVPR, author = {Kahatapitiya, Kumara and Ryoo, Michael S.}, title = {Coarse-Fine Networks for Temporal Activity Detection in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8385-8394} }

Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks?
Yapeng Tian,
Chenliang Xu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Yapeng and Xu, Chenliang}, title = {Can Audio-Visual Integration Strengthen Robustness Under Multimodal Attacks?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5601-5611} }

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} }

ReNAS: Relativistic Evaluation of Neural Architecture Search
Yixing Xu,
Yunhe Wang,
Kai Han,
Yehui Tang,
Shangling Jui,
Chunjing Xu,
Chang Xu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Yixing and Wang, Yunhe and Han, Kai and Tang, Yehui and Jui, Shangling and Xu, Chunjing and Xu, Chang}, title = {ReNAS: Relativistic Evaluation of Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4411-4420} }

When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks
Jiahang Wang,
Sheng Jin,
Wentao Liu,
Weizhong Liu,
Chen Qian,
Ping Luo
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jiahang and Jin, Sheng and Liu, Wentao and Liu, Weizhong and Qian, Chen and Luo, Ping}, title = {When Human Pose Estimation Meets Robustness: Adversarial Algorithms and Benchmarks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11855-11864} }

ReMix: Towards Image-to-Image Translation With Limited Data
Jie Cao,
Luanxuan Hou,
Ming-Hsuan Yang,
Ran He,
Zhenan Sun
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cao_2021_CVPR, author = {Cao, Jie and Hou, Luanxuan and Yang, Ming-Hsuan and He, Ran and Sun, Zhenan}, title = {ReMix: Towards Image-to-Image Translation With Limited Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15018-15027} }

Adaptive Rank Estimate in Robust Principal Component Analysis
Zhengqin Xu,
Rui He,
Shoulie Xie,
Shiqian Wu
[pdf] [supp]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Zhengqin and He, Rui and Xie, Shoulie and Wu, Shiqian}, title = {Adaptive Rank Estimate in Robust Principal Component Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6577-6586} }

Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning
Riccardo Volpi,
Diane Larlus,
Gregory Rogez
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Volpi_2021_CVPR, author = {Volpi, Riccardo and Larlus, Diane and Rogez, Gregory}, title = {Continual Adaptation of Visual Representations via Domain Randomization and Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4443-4453} }

DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance
Kaihua Zhang,
Mingliang Dong,
Bo Liu,
Xiao-Tong Yuan,
Qingshan Liu
[pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Kaihua and Dong, Mingliang and Liu, Bo and Yuan, Xiao-Tong and Liu, Qingshan}, title = {DeepACG: Co-Saliency Detection via Semantic-Aware Contrast Gromov-Wasserstein Distance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13703-13712} }

SurFree: A Fast Surrogate-Free Black-Box Attack
Thibault Maho,
Teddy Furon,
Erwan Le Merrer
[pdf] [arXiv]
[bibtex]
@InProceedings{Maho_2021_CVPR, author = {Maho, Thibault and Furon, Teddy and Le Merrer, Erwan}, title = {SurFree: A Fast Surrogate-Free Black-Box Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10430-10439} }

Beyond Image to Depth: Improving Depth Prediction Using Echoes
Kranti Kumar Parida,
Siddharth Srivastava,
Gaurav Sharma
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Parida_2021_CVPR, author = {Parida, Kranti Kumar and Srivastava, Siddharth and Sharma, Gaurav}, title = {Beyond Image to Depth: Improving Depth Prediction Using Echoes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8268-8277} }

Rich Features for Perceptual Quality Assessment of UGC Videos
Yilin Wang,
Junjie Ke,
Hossein Talebi,
Joong Gon Yim,
Neil Birkbeck,
Balu Adsumilli,
Peyman Milanfar,
Feng Yang
[pdf] [supp]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Yilin and Ke, Junjie and Talebi, Hossein and Yim, Joong Gon and Birkbeck, Neil and Adsumilli, Balu and Milanfar, Peyman and Yang, Feng}, title = {Rich Features for Perceptual Quality Assessment of UGC Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13435-13444} }

Sequential Graph Convolutional Network for Active Learning
Razvan Caramalau,
Binod Bhattarai,
Tae-Kyun Kim
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Caramalau_2021_CVPR, author = {Caramalau, Razvan and Bhattarai, Binod and Kim, Tae-Kyun}, title = {Sequential Graph Convolutional Network for Active Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9583-9592} }

Generative Classifiers as a Basis for Trustworthy Image Classification
Radek Mackowiak,
Lynton Ardizzone,
Ullrich Kothe,
Carsten Rother
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mackowiak_2021_CVPR, author = {Mackowiak, Radek and Ardizzone, Lynton and Kothe, Ullrich and Rother, Carsten}, title = {Generative Classifiers as a Basis for Trustworthy Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2971-2981} }

EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation
Yang Jiao,
Trac D. Tran,
Guangming Shi
[pdf] [arXiv]
[bibtex]
@InProceedings{Jiao_2021_CVPR, author = {Jiao, Yang and Tran, Trac D. and Shi, Guangming}, title = {EffiScene: Efficient Per-Pixel Rigidity Inference for Unsupervised Joint Learning of Optical Flow, Depth, Camera Pose and Motion Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5538-5547} }

Localizing Visual Sounds the Hard Way
Honglie Chen,
Weidi Xie,
Triantafyllos Afouras,
Arsha Nagrani,
Andrea Vedaldi,
Andrew Zisserman
[pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Honglie and Xie, Weidi and Afouras, Triantafyllos and Nagrani, Arsha and Vedaldi, Andrea and Zisserman, Andrew}, title = {Localizing Visual Sounds the Hard Way}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16867-16876} }

Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis
Arghya Pal,
Raphael C.-W. Phan,
KokSheik Wong
[pdf] [supp]
[bibtex]
@InProceedings{Pal_2021_CVPR, author = {Pal, Arghya and Phan, Raphael C.-W. and Wong, KokSheik}, title = {Synthesize-It-Classifier: Learning a Generative Classifier Through Recurrent Self-Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5161-5170} }

Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk
Ruibo Li,
Guosheng Lin,
Lihua Xie
[pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Ruibo and Lin, Guosheng and Xie, Lihua}, title = {Self-Point-Flow: Self-Supervised Scene Flow Estimation From Point Clouds With Optimal Transport and Random Walk}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15577-15586} }

Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation
Yunhang Shen,
Liujuan Cao,
Zhiwei Chen,
Feihong Lian,
Baochang Zhang,
Chi Su,
Yongjian Wu,
Feiyue Huang,
Rongrong Ji
[pdf]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Yunhang and Cao, Liujuan and Chen, Zhiwei and Lian, Feihong and Zhang, Baochang and Su, Chi and Wu, Yongjian and Huang, Feiyue and Ji, Rongrong}, title = {Toward Joint Thing-and-Stuff Mining for Weakly Supervised Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16694-16705} }

Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals
Yiyue Luo,
Yunzhu Li,
Michael Foshey,
Wan Shou,
Pratyusha Sharma,
Tomas Palacios,
Antonio Torralba,
Wojciech Matusik
[pdf] [supp]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Yiyue and Li, Yunzhu and Foshey, Michael and Shou, Wan and Sharma, Pratyusha and Palacios, Tomas and Torralba, Antonio and Matusik, Wojciech}, title = {Intelligent Carpet: Inferring 3D Human Pose From Tactile Signals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11255-11265} }

Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation
Seungho Lee,
Minhyun Lee,
Jongwuk Lee,
Hyunjung Shim
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Seungho and Lee, Minhyun and Lee, Jongwuk and Shim, Hyunjung}, title = {Railroad Is Not a Train: Saliency As Pseudo-Pixel Supervision for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5495-5505} }

Stable View Synthesis
Gernot Riegler,
Vladlen Koltun
[pdf] [arXiv]
[bibtex]
@InProceedings{Riegler_2021_CVPR, author = {Riegler, Gernot and Koltun, Vladlen}, title = {Stable View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12216-12225} }

Deep Two-View Structure-From-Motion Revisited
Jianyuan Wang,
Yiran Zhong,
Yuchao Dai,
Stan Birchfield,
Kaihao Zhang,
Nikolai Smolyanskiy,
Hongdong Li
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jianyuan and Zhong, Yiran and Dai, Yuchao and Birchfield, Stan and Zhang, Kaihao and Smolyanskiy, Nikolai and Li, Hongdong}, title = {Deep Two-View Structure-From-Motion Revisited}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8953-8962} }

Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes
Dmytro Kotovenko,
Matthias Wright,
Arthur Heimbrecht,
Bjorn Ommer
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kotovenko_2021_CVPR, author = {Kotovenko, Dmytro and Wright, Matthias and Heimbrecht, Arthur and Ommer, Bjorn}, title = {Rethinking Style Transfer: From Pixels to Parameterized Brushstrokes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12196-12205} }

Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation
Rui Gong,
Yuhua Chen,
Danda Pani Paudel,
Yawei Li,
Ajad Chhatkuli,
Wen Li,
Dengxin Dai,
Luc Van Gool
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gong_2021_CVPR, author = {Gong, Rui and Chen, Yuhua and Paudel, Danda Pani and Li, Yawei and Chhatkuli, Ajad and Li, Wen and Dai, Dengxin and Van Gool, Luc}, title = {Cluster, Split, Fuse, and Update: Meta-Learning for Open Compound Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8344-8354} }

Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories
Xitong Yang,
Haoqi Fan,
Lorenzo Torresani,
Larry S. Davis,
Heng Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Xitong and Fan, Haoqi and Torresani, Lorenzo and Davis, Larry S. and Wang, Heng}, title = {Beyond Short Clips: End-to-End Video-Level Learning With Collaborative Memories}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7567-7576} }

PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency
Xuyang Bai,
Zixin Luo,
Lei Zhou,
Hongkai Chen,
Lei Li,
Zeyu Hu,
Hongbo Fu,
Chiew-Lan Tai
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bai_2021_CVPR, author = {Bai, Xuyang and Luo, Zixin and Zhou, Lei and Chen, Hongkai and Li, Lei and Hu, Zeyu and Fu, Hongbo and Tai, Chiew-Lan}, title = {PointDSC: Robust Point Cloud Registration Using Deep Spatial Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15859-15869} }

Task Programming: Learning Data Efficient Behavior Representations
Jennifer J. Sun,
Ann Kennedy,
Eric Zhan,
David J. Anderson,
Yisong Yue,
Pietro Perona
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Jennifer J. and Kennedy, Ann and Zhan, Eric and Anderson, David J. and Yue, Yisong and Perona, Pietro}, title = {Task Programming: Learning Data Efficient Behavior Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2876-2885} }

ACRE: Abstract Causal REasoning Beyond Covariation
Chi Zhang,
Baoxiong Jia,
Mark Edmonds,
Song-Chun Zhu,
Yixin Zhu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Chi and Jia, Baoxiong and Edmonds, Mark and Zhu, Song-Chun and Zhu, Yixin}, title = {ACRE: Abstract Causal REasoning Beyond Covariation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10643-10653} }

DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition
Jingwei Huang,
Shan Huang,
Mingwei Sun
[pdf] [supp]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Jingwei and Huang, Shan and Sun, Mingwei}, title = {DeepLM: Large-Scale Nonlinear Least Squares on Deep Learning Frameworks Using Stochastic Domain Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10308-10317} }

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} }

Self-Supervised Pillar Motion Learning for Autonomous Driving
Chenxu Luo,
Xiaodong Yang,
Alan Yuille
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Chenxu and Yang, Xiaodong and Yuille, Alan}, title = {Self-Supervised Pillar Motion Learning for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3183-3192} }

Quantum Permutation Synchronization
Tolga Birdal,
Vladislav Golyanik,
Christian Theobalt,
Leonidas J. Guibas
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Birdal_2021_CVPR, author = {Birdal, Tolga and Golyanik, Vladislav and Theobalt, Christian and Guibas, Leonidas J.}, title = {Quantum Permutation Synchronization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13122-13133} }

QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval
Xiaodan Li,
Jinfeng Li,
Yuefeng Chen,
Shaokai Ye,
Yuan He,
Shuhui Wang,
Hang Su,
Hui Xue
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Xiaodan and Li, Jinfeng and Chen, Yuefeng and Ye, Shaokai and He, Yuan and Wang, Shuhui and Su, Hang and Xue, Hui}, title = {QAIR: Practical Query-Efficient Black-Box Attacks for Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3330-3339} }

MagFace: A Universal Representation for Face Recognition and Quality Assessment
Qiang Meng,
Shichao Zhao,
Zhida Huang,
Feng Zhou
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Meng_2021_CVPR, author = {Meng, Qiang and Zhao, Shichao and Huang, Zhida and Zhou, Feng}, title = {MagFace: A Universal Representation for Face Recognition and Quality Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14225-14234} }

Wasserstein Barycenter for Multi-Source Domain Adaptation
Eduardo Fernandes Montesuma,
Fred Maurice Ngole Mboula
[pdf] [supp]
[bibtex]
@InProceedings{Montesuma_2021_CVPR, author = {Montesuma, Eduardo Fernandes and Mboula, Fred Maurice Ngole}, title = {Wasserstein Barycenter for Multi-Source Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16785-16793} }

Unsupervised Hyperbolic Metric Learning
Jiexi Yan,
Lei Luo,
Cheng Deng,
Heng Huang
[pdf]
[bibtex]
@InProceedings{Yan_2021_CVPR, author = {Yan, Jiexi and Luo, Lei and Deng, Cheng and Huang, Heng}, title = {Unsupervised Hyperbolic Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12465-12474} }

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} }

Background Splitting: Finding Rare Classes in a Sea of Background
Ravi Teja Mullapudi,
Fait Poms,
William R. Mark,
Deva Ramanan,
Kayvon Fatahalian
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mullapudi_2021_CVPR, author = {Mullapudi, Ravi Teja and Poms, Fait and Mark, William R. and Ramanan, Deva and Fatahalian, Kayvon}, title = {Background Splitting: Finding Rare Classes in a Sea of Background}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8043-8052} }

Adaptive Convolutions for Structure-Aware Style Transfer
Prashanth Chandran,
Gaspard Zoss,
Paulo Gotardo,
Markus Gross,
Derek Bradley
[pdf] [supp]
[bibtex]
@InProceedings{Chandran_2021_CVPR, author = {Chandran, Prashanth and Zoss, Gaspard and Gotardo, Paulo and Gross, Markus and Bradley, Derek}, title = {Adaptive Convolutions for Structure-Aware Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7972-7981} }

Few-Shot Incremental Learning With Continually Evolved Classifiers
Chi Zhang,
Nan Song,
Guosheng Lin,
Yun Zheng,
Pan Pan,
Yinghui Xu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Chi and Song, Nan and Lin, Guosheng and Zheng, Yun and Pan, Pan and Xu, Yinghui}, title = {Few-Shot Incremental Learning With Continually Evolved Classifiers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12455-12464} }

NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions
Junbin Xiao,
Xindi Shang,
Angela Yao,
Tat-Seng Chua
[pdf] [supp]
[bibtex]
@InProceedings{Xiao_2021_CVPR, author = {Xiao, Junbin and Shang, Xindi and Yao, Angela and Chua, Tat-Seng}, title = {NExT-QA: Next Phase of Question-Answering to Explaining Temporal Actions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9777-9786} }

LayoutGMN: Neural Graph Matching for Structural Layout Similarity
Akshay Gadi Patil,
Manyi Li,
Matthew Fisher,
Manolis Savva,
Hao Zhang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Patil_2021_CVPR, author = {Patil, Akshay Gadi and Li, Manyi and Fisher, Matthew and Savva, Manolis and Zhang, Hao}, title = {LayoutGMN: Neural Graph Matching for Structural Layout Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11048-11057} }

TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search
Yawen Duan,
Xin Chen,
Hang Xu,
Zewei Chen,
Xiaodan Liang,
Tong Zhang,
Zhenguo Li
[pdf] [supp]
[bibtex]
@InProceedings{Duan_2021_CVPR, author = {Duan, Yawen and Chen, Xin and Xu, Hang and Chen, Zewei and Liang, Xiaodan and Zhang, Tong and Li, Zhenguo}, title = {TransNAS-Bench-101: Improving Transferability and Generalizability of Cross-Task Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5251-5260} }

ArtEmis: Affective Language for Visual Art
Panos Achlioptas,
Maks Ovsjanikov,
Kilichbek Haydarov,
Mohamed Elhoseiny,
Leonidas J. Guibas
[pdf] [arXiv]
[bibtex]
@InProceedings{Achlioptas_2021_CVPR, author = {Achlioptas, Panos and Ovsjanikov, Maks and Haydarov, Kilichbek and Elhoseiny, Mohamed and Guibas, Leonidas J.}, title = {ArtEmis: Affective Language for Visual Art}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11569-11579} }

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} }

Learning Normal Dynamics in Videos With Meta Prototype Network
Hui Lv,
Chen Chen,
Zhen Cui,
Chunyan Xu,
Yong Li,
Jian Yang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lv_2021_CVPR, author = {Lv, Hui and Chen, Chen and Cui, Zhen and Xu, Chunyan and Li, Yong and Yang, Jian}, title = {Learning Normal Dynamics in Videos With Meta Prototype Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15425-15434} }

Graph-Based High-Order Relation Discovery for Fine-Grained Recognition
Yifan Zhao,
Ke Yan,
Feiyue Huang,
Jia Li
[pdf]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yifan and Yan, Ke and Huang, Feiyue and Li, Jia}, title = {Graph-Based High-Order Relation Discovery for Fine-Grained Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15079-15088} }

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} }

NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration
Zhengang Li,
Geng Yuan,
Wei Niu,
Pu Zhao,
Yanyu Li,
Yuxuan Cai,
Xuan Shen,
Zheng Zhan,
Zhenglun Kong,
Qing Jin,
Zhiyu Chen,
Sijia Liu,
Kaiyuan Yang,
Bin Ren,
Yanzhi Wang,
Xue Lin
[pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zhengang and Yuan, Geng and Niu, Wei and Zhao, Pu and Li, Yanyu and Cai, Yuxuan and Shen, Xuan and Zhan, Zheng and Kong, Zhenglun and Jin, Qing and Chen, Zhiyu and Liu, Sijia and Yang, Kaiyuan and Ren, Bin and Wang, Yanzhi and Lin, Xue}, title = {NPAS: A Compiler-Aware Framework of Unified Network Pruning and Architecture Search for Beyond Real-Time Mobile Acceleration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14255-14266} }

Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation
Minghan Li,
Shuai Li,
Lida Li,
Lei Zhang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Minghan and Li, Shuai and Li, Lida and Zhang, Lei}, title = {Spatial Feature Calibration and Temporal Fusion for Effective One-Stage Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11215-11224} }

Learning Asynchronous and Sparse Human-Object Interaction in Videos
Romero Morais,
Vuong Le,
Svetha Venkatesh,
Truyen Tran
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Morais_2021_CVPR, author = {Morais, Romero and Le, Vuong and Venkatesh, Svetha and Tran, Truyen}, title = {Learning Asynchronous and Sparse Human-Object Interaction in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16041-16050} }

Single Image Reflection Removal With Absorption Effect
Qian Zheng,
Boxin Shi,
Jinnan Chen,
Xudong Jiang,
Ling-Yu Duan,
Alex C. Kot
[pdf] [supp]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Qian and Shi, Boxin and Chen, Jinnan and Jiang, Xudong and Duan, Ling-Yu and Kot, Alex C.}, title = {Single Image Reflection Removal With Absorption Effect}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13395-13404} }

One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking
Minghao Chen,
Jianlong Fu,
Haibin Ling
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Minghao and Fu, Jianlong and Ling, Haibin}, title = {One-Shot Neural Ensemble Architecture Search by Diversity-Guided Search Space Shrinking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16530-16539} }

Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On
Chongjian Ge,
Yibing Song,
Yuying Ge,
Han Yang,
Wei Liu,
Ping Luo
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ge_2021_CVPR, author = {Ge, Chongjian and Song, Yibing and Ge, Yuying and Yang, Han and Liu, Wei and Luo, Ping}, title = {Disentangled Cycle Consistency for Highly-Realistic Virtual Try-On}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16928-16937} }

M3DSSD: Monocular 3D Single Stage Object Detector
Shujie Luo,
Hang Dai,
Ling Shao,
Yong Ding
[pdf] [arXiv]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Shujie and Dai, Hang and Shao, Ling and Ding, Yong}, title = {M3DSSD: Monocular 3D Single Stage Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6145-6154} }

Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes
Shuai Shen,
Wanhua Li,
Zheng Zhu,
Guan Huang,
Dalong Du,
Jiwen Lu,
Jie Zhou
[pdf] [supp]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Shuai and Li, Wanhua and Zhu, Zheng and Huang, Guan and Du, Dalong and Lu, Jiwen and Zhou, Jie}, title = {Structure-Aware Face Clustering on a Large-Scale Graph With 107 Nodes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9085-9094} }

Objects Are Different: Flexible Monocular 3D Object Detection
Yunpeng Zhang,
Jiwen Lu,
Jie Zhou
[pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yunpeng and Lu, Jiwen and Zhou, Jie}, title = {Objects Are Different: Flexible Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3289-3298} }

Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification
Oren Nuriel,
Sagie Benaim,
Lior Wolf
[pdf] [arXiv]
[bibtex]
@InProceedings{Nuriel_2021_CVPR, author = {Nuriel, Oren and Benaim, Sagie and Wolf, Lior}, title = {Permuted AdaIN: Reducing the Bias Towards Global Statistics in Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9482-9491} }

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} }

SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification
Zijian Hu,
Zhengyu Yang,
Xuefeng Hu,
Ram Nevatia
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Zijian and Yang, Zhengyu and Hu, Xuefeng and Nevatia, Ram}, title = {SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15099-15108} }

Context-Aware Layout to Image Generation With Enhanced Object Appearance
Sen He,
Wentong Liao,
Michael Ying Yang,
Yongxin Yang,
Yi-Zhe Song,
Bodo Rosenhahn,
Tao Xiang
[pdf] [arXiv]
[bibtex]
@InProceedings{He_2021_CVPR, author = {He, Sen and Liao, Wentong and Yang, Michael Ying and Yang, Yongxin and Song, Yi-Zhe and Rosenhahn, Bodo and Xiang, Tao}, title = {Context-Aware Layout to Image Generation With Enhanced Object Appearance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15049-15058} }

Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis
Yi Liu,
Xiaoyang Huo,
Tianyi Chen,
Xiangping Zeng,
Si Wu,
Zhiwen Yu,
Hau-San Wong
[pdf]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Yi and Huo, Xiaoyang and Chen, Tianyi and Zeng, Xiangping and Wu, Si and Yu, Zhiwen and Wong, Hau-San}, title = {Mask-Embedded Discriminator With Region-Based Semantic Regularization for Semi-Supervised Class-Conditional Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5506-5515} }

LEAP: Learning Articulated Occupancy of People
Marko Mihajlovic,
Yan Zhang,
Michael J. Black,
Siyu Tang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Mihajlovic_2021_CVPR, author = {Mihajlovic, Marko and Zhang, Yan and Black, Michael J. and Tang, Siyu}, title = {LEAP: Learning Articulated Occupancy of People}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10461-10471} }

ANR: Articulated Neural Rendering for Virtual Avatars
Amit Raj,
Julian Tanke,
James Hays,
Minh Vo,
Carsten Stoll,
Christoph Lassner
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Raj_2021_CVPR, author = {Raj, Amit and Tanke, Julian and Hays, James and Vo, Minh and Stoll, Carsten and Lassner, Christoph}, title = {ANR: Articulated Neural Rendering for Virtual Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3722-3731} }

Flow-Based Kernel Prior With Application to Blind Super-Resolution
Jingyun Liang,
Kai Zhang,
Shuhang Gu,
Luc Van Gool,
Radu Timofte
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liang_2021_CVPR, author = {Liang, Jingyun and Zhang, Kai and Gu, Shuhang and Van Gool, Luc and Timofte, Radu}, title = {Flow-Based Kernel Prior With Application to Blind Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10601-10610} }

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} }

Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images
Florian Kluger,
Hanno Ackermann,
Eric Brachmann,
Michael Ying Yang,
Bodo Rosenhahn
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kluger_2021_CVPR, author = {Kluger, Florian and Ackermann, Hanno and Brachmann, Eric and Yang, Michael Ying and Rosenhahn, Bodo}, title = {Cuboids Revisited: Learning Robust 3D Shape Fitting to Single RGB Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13070-13079} }

Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition
Jiahui She,
Yibo Hu,
Hailin Shi,
Jun Wang,
Qiu Shen,
Tao Mei
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{She_2021_CVPR, author = {She, Jiahui and Hu, Yibo and Shi, Hailin and Wang, Jun and Shen, Qiu and Mei, Tao}, title = {Dive Into Ambiguity: Latent Distribution Mining and Pairwise Uncertainty Estimation for Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6248-6257} }

Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton
Xi Zhang,
Xiaolin Wu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xi and Wu, Xiaolin}, title = {Attention-Guided Image Compression by Deep Reconstruction of Compressive Sensed Saliency Skeleton}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13354-13364} }

Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering
Huafeng Liu,
Jiaqi Wang,
Liping Jing
[pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Huafeng and Wang, Jiaqi and Jing, Liping}, title = {Cluster-Wise Hierarchical Generative Model for Deep Amortized Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15109-15118} }

Mirror3D: Depth Refinement for Mirror Surfaces
Jiaqi Tan,
Weijie Lin,
Angel X. Chang,
Manolis Savva
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Jiaqi and Lin, Weijie and Chang, Angel X. and Savva, Manolis}, title = {Mirror3D: Depth Refinement for Mirror Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15990-15999} }

Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning
Zhenda Xie,
Yutong Lin,
Zheng Zhang,
Yue Cao,
Stephen Lin,
Han Hu
[pdf] [arXiv]
[bibtex]
@InProceedings{Xie_2021_CVPR, author = {Xie, Zhenda and Lin, Yutong and Zhang, Zheng and Cao, Yue and Lin, Stephen and Hu, Han}, title = {Propagate Yourself: Exploring Pixel-Level Consistency for Unsupervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16684-16693} }

Reciprocal Transformations for Unsupervised Video Object Segmentation
Sucheng Ren,
Wenxi Liu,
Yongtuo Liu,
Haoxin Chen,
Guoqiang Han,
Shengfeng He
[pdf] [supp]
[bibtex]
@InProceedings{Ren_2021_CVPR, author = {Ren, Sucheng and Liu, Wenxi and Liu, Yongtuo and Chen, Haoxin and Han, Guoqiang and He, Shengfeng}, title = {Reciprocal Transformations for Unsupervised Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15455-15464} }

Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark
Longyin Wen,
Dawei Du,
Pengfei Zhu,
Qinghua Hu,
Qilong Wang,
Liefeng Bo,
Siwei Lyu
[pdf] [arXiv]
[bibtex]
@InProceedings{Wen_2021_CVPR, author = {Wen, Longyin and Du, Dawei and Zhu, Pengfei and Hu, Qinghua and Wang, Qilong and Bo, Liefeng and Lyu, Siwei}, title = {Detection, Tracking, and Counting Meets Drones in Crowds: A Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7812-7821} }

Learning Complete 3D Morphable Face Models From Images and Videos
Mallikarjun B R,
Ayush Tewari,
Hans-Peter Seidel,
Mohamed Elgharib,
Christian Theobalt
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{R_2021_CVPR, author = {R, Mallikarjun B and Tewari, Ayush and Seidel, Hans-Peter and Elgharib, Mohamed and Theobalt, Christian}, title = {Learning Complete 3D Morphable Face Models From Images and Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3361-3371} }

Bottom-Up Shift and Reasoning for Referring Image Segmentation
Sibei Yang,
Meng Xia,
Guanbin Li,
Hong-Yu Zhou,
Yizhou Yu
[pdf]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Sibei and Xia, Meng and Li, Guanbin and Zhou, Hong-Yu and Yu, Yizhou}, title = {Bottom-Up Shift and Reasoning for Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11266-11275} }

Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion
Vitor Guizilini,
Rares Ambrus,
Wolfram Burgard,
Adrien Gaidon
[pdf] [arXiv]
[bibtex]
@InProceedings{Guizilini_2021_CVPR, author = {Guizilini, Vitor and Ambrus, Rares and Burgard, Wolfram and Gaidon, Adrien}, title = {Sparse Auxiliary Networks for Unified Monocular Depth Prediction and Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11078-11088} }

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} }

Panoptic Segmentation Forecasting
Colin Graber,
Grace Tsai,
Michael Firman,
Gabriel Brostow,
Alexander G. Schwing
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Graber_2021_CVPR, author = {Graber, Colin and Tsai, Grace and Firman, Michael and Brostow, Gabriel and Schwing, Alexander G.}, title = {Panoptic Segmentation Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12517-12526} }

SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection
Weichen Zhang,
Wen Li,
Dong Xu
[pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Weichen and Li, Wen and Xu, Dong}, title = {SRDAN: Scale-Aware and Range-Aware Domain Adaptation Network for Cross-Dataset 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6769-6779} }

Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera
Lukas Neumann,
Andrea Vedaldi
[pdf]
[bibtex]
@InProceedings{Neumann_2021_CVPR, author = {Neumann, Lukas and Vedaldi, Andrea}, title = {Pedestrian and Ego-Vehicle Trajectory Prediction From Monocular Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10204-10212} }

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} }

Weakly Supervised Action Selection Learning in Video
Junwei Ma,
Satya Krishna Gorti,
Maksims Volkovs,
Guangwei Yu
[pdf] [arXiv]
[bibtex]
@InProceedings{Ma_2021_CVPR, author = {Ma, Junwei and Gorti, Satya Krishna and Volkovs, Maksims and Yu, Guangwei}, title = {Weakly Supervised Action Selection Learning in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7587-7596} }

Learning Student Networks in the Wild
Hanting Chen,
Tianyu Guo,
Chang Xu,
Wenshuo Li,
Chunjing Xu,
Chao Xu,
Yunhe Wang
[pdf]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Hanting and Guo, Tianyu and Xu, Chang and Li, Wenshuo and Xu, Chunjing and Xu, Chao and Wang, Yunhe}, title = {Learning Student Networks in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6428-6437} }

Distilling Knowledge via Knowledge Review
Pengguang Chen,
Shu Liu,
Hengshuang Zhao,
Jiaya Jia
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Pengguang and Liu, Shu and Zhao, Hengshuang and Jia, Jiaya}, title = {Distilling Knowledge via Knowledge Review}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5008-5017} }

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} }

Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection
Alexandros Haliassos,
Konstantinos Vougioukas,
Stavros Petridis,
Maja Pantic
[pdf] [supp]
[bibtex]
@InProceedings{Haliassos_2021_CVPR, author = {Haliassos, Alexandros and Vougioukas, Konstantinos and Petridis, Stavros and Pantic, Maja}, title = {Lips Don't Lie: A Generalisable and Robust Approach To Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5039-5049} }

Exploring Simple Siamese Representation Learning
Xinlei Chen,
Kaiming He
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xinlei and He, Kaiming}, title = {Exploring Simple Siamese Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15750-15758} }

CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency
Mohammad A. A. K. Jalwana,
Naveed Akhtar,
Mohammed Bennamoun,
Ajmal Mian
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jalwana_2021_CVPR, author = {Jalwana, Mohammad A. A. K. and Akhtar, Naveed and Bennamoun, Mohammed and Mian, Ajmal}, title = {CAMERAS: Enhanced Resolution and Sanity Preserving Class Activation Mapping for Image Saliency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16327-16336} }

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} }

Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment
Yuhan Shen,
Lu Wang,
Ehsan Elhamifar
[pdf] [supp]
[bibtex]
@InProceedings{Shen_2021_CVPR, author = {Shen, Yuhan and Wang, Lu and Elhamifar, Ehsan}, title = {Learning To Segment Actions From Visual and Language Instructions via Differentiable Weak Sequence Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10156-10165} }

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} }

Semantic Image Matting
Yanan Sun,
Chi-Keung Tang,
Yu-Wing Tai
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Yanan and Tang, Chi-Keung and Tai, Yu-Wing}, title = {Semantic Image Matting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11120-11129} }

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} }

SuperMix: Supervising the Mixing Data Augmentation
Ali Dabouei,
Sobhan Soleymani,
Fariborz Taherkhani,
Nasser M. Nasrabadi
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dabouei_2021_CVPR, author = {Dabouei, Ali and Soleymani, Sobhan and Taherkhani, Fariborz and Nasrabadi, Nasser M.}, title = {SuperMix: Supervising the Mixing Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13794-13803} }

Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection
Luwei Hou,
Yu Zhang,
Kui Fu,
Jia Li
[pdf]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Luwei and Zhang, Yu and Fu, Kui and Li, Jia}, title = {Informative and Consistent Correspondence Mining for Cross-Domain Weakly Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9929-9938} }

Inception Convolution With Efficient Dilation Search
Jie Liu,
Chuming Li,
Feng Liang,
Chen Lin,
Ming Sun,
Junjie Yan,
Wanli Ouyang,
Dong Xu
[pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Jie and Li, Chuming and Liang, Feng and Lin, Chen and Sun, Ming and Yan, Junjie and Ouyang, Wanli and Xu, Dong}, title = {Inception Convolution With Efficient Dilation Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11486-11495} }

Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy
Federico Paredes-Valles,
Guido C. H. E. de Croon
[pdf] [supp]
[bibtex]
@InProceedings{Paredes-Valles_2021_CVPR, author = {Paredes-Valles, Federico and de Croon, Guido C. H. E.}, title = {Back to Event Basics: Self-Supervised Learning of Image Reconstruction for Event Cameras via Photometric Constancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3446-3455} }

AdderSR: Towards Energy Efficient Image Super-Resolution
Dehua Song,
Yunhe Wang,
Hanting Chen,
Chang Xu,
Chunjing Xu,
Dacheng Tao
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Dehua and Wang, Yunhe and Chen, Hanting and Xu, Chang and Xu, Chunjing and Tao, Dacheng}, title = {AdderSR: Towards Energy Efficient Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15648-15657} }

Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation
Shuaijun Chen,
Xu Jia,
Jianzhong He,
Yongjie Shi,
Jianzhuang Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Shuaijun and Jia, Xu and He, Jianzhong and Shi, Yongjie and Liu, Jianzhuang}, title = {Semi-Supervised Domain Adaptation Based on Dual-Level Domain Mixing for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11018-11027} }

Connecting What To Say With Where To Look by Modeling Human Attention Traces
Zihang Meng,
Licheng Yu,
Ning Zhang,
Tamara L. Berg,
Babak Damavandi,
Vikas Singh,
Amy Bearman
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Meng_2021_CVPR, author = {Meng, Zihang and Yu, Licheng and Zhang, Ning and Berg, Tamara L. and Damavandi, Babak and Singh, Vikas and Bearman, Amy}, title = {Connecting What To Say With Where To Look by Modeling Human Attention Traces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12679-12688} }

Shelf-Supervised Mesh Prediction in the Wild
Yufei Ye,
Shubham Tulsiani,
Abhinav Gupta
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ye_2021_CVPR, author = {Ye, Yufei and Tulsiani, Shubham and Gupta, Abhinav}, title = {Shelf-Supervised Mesh Prediction in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8843-8852} }

Learning To Filter: Siamese Relation Network for Robust Tracking
Siyuan Cheng,
Bineng Zhong,
Guorong Li,
Xin Liu,
Zhenjun Tang,
Xianxian Li,
Jing Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Siyuan and Zhong, Bineng and Li, Guorong and Liu, Xin and Tang, Zhenjun and Li, Xianxian and Wang, Jing}, title = {Learning To Filter: Siamese Relation Network for Robust Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4421-4431} }

Ensembling With Deep Generative Views
Lucy Chai,
Jun-Yan Zhu,
Eli Shechtman,
Phillip Isola,
Richard Zhang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chai_2021_CVPR, author = {Chai, Lucy and Zhu, Jun-Yan and Shechtman, Eli and Isola, Phillip and Zhang, Richard}, title = {Ensembling With Deep Generative Views}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14997-15007} }

Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss
Lu Zhang,
Shuigeng Zhou,
Jihong Guan,
Ji Zhang
[pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Lu and Zhou, Shuigeng and Guan, Jihong and Zhang, Ji}, title = {Accurate Few-Shot Object Detection With Support-Query Mutual Guidance and Hybrid Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14424-14432} }

Cascaded Prediction Network via Segment Tree for Temporal Video Grounding
Yang Zhao,
Zhou Zhao,
Zhu Zhang,
Zhijie Lin
[pdf] [supp]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yang and Zhao, Zhou and Zhang, Zhu and Lin, Zhijie}, title = {Cascaded Prediction Network via Segment Tree for Temporal Video Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4197-4206} }

Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis
Xianchao Zhang,
Ziyang Cheng,
Xiaotong Zhang,
Han Liu
[pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xianchao and Cheng, Ziyang and Zhang, Xiaotong and Liu, Han}, title = {Posterior Promoted GAN With Distribution Discriminator for Unsupervised Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6519-6528} }

Toward Accurate and Realistic Outfits Visualization With Attention to Details
Kedan Li,
Min Jin Chong,
Jeffrey Zhang,
Jingen Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Kedan and Chong, Min Jin and Zhang, Jeffrey and Liu, Jingen}, title = {Toward Accurate and Realistic Outfits Visualization With Attention to Details}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15546-15555} }

Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation
Haoxin Chen,
Hanjie Wu,
Nanxuan Zhao,
Sucheng Ren,
Shengfeng He
[pdf] [supp]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Haoxin and Wu, Hanjie and Zhao, Nanxuan and Ren, Sucheng and He, Shengfeng}, title = {Delving Deep Into Many-to-Many Attention for Few-Shot Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14040-14049} }

MongeNet: Efficient Sampler for Geometric Deep Learning
Leo Lebrat,
Rodrigo Santa Cruz,
Clinton Fookes,
Olivier Salvado
[pdf] [arXiv]
[bibtex]
@InProceedings{Lebrat_2021_CVPR, author = {Lebrat, Leo and Cruz, Rodrigo Santa and Fookes, Clinton and Salvado, Olivier}, title = {MongeNet: Efficient Sampler for Geometric Deep Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16664-16673} }

Gated Spatio-Temporal Attention-Guided Video Deblurring
Maitreya Suin,
A. N. Rajagopalan
[pdf]
[bibtex]
@InProceedings{Suin_2021_CVPR, author = {Suin, Maitreya and Rajagopalan, A. N.}, title = {Gated Spatio-Temporal Attention-Guided Video Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7802-7811} }

Learning Multi-Scale Photo Exposure Correction
Mahmoud Afifi,
Konstantinos G. Derpanis,
Bjorn Ommer,
Michael S. Brown
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Afifi_2021_CVPR, author = {Afifi, Mahmoud and Derpanis, Konstantinos G. and Ommer, Bjorn and Brown, Michael S.}, title = {Learning Multi-Scale Photo Exposure Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9157-9167} }

Learning Semantic Person Image Generation by Region-Adaptive Normalization
Zhengyao Lv,
Xiaoming Li,
Xin Li,
Fu Li,
Tianwei Lin,
Dongliang He,
Wangmeng Zuo
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lv_2021_CVPR, author = {Lv, Zhengyao and Li, Xiaoming and Li, Xin and Li, Fu and Lin, Tianwei and He, Dongliang and Zuo, Wangmeng}, title = {Learning Semantic Person Image Generation by Region-Adaptive Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10806-10815} }

Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning
Hongguang Zhang,
Piotr Koniusz,
Songlei Jian,
Hongdong Li,
Philip H. S. Torr
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Hongguang and Koniusz, Piotr and Jian, Songlei and Li, Hongdong and Torr, Philip H. S.}, title = {Rethinking Class Relations: Absolute-Relative Supervised and Unsupervised Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9432-9441} }

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} }

Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning
Chengming Xu,
Yanwei Fu,
Chen Liu,
Chengjie Wang,
Jilin Li,
Feiyue Huang,
Li Zhang,
Xiangyang Xue
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Chengming and Fu, Yanwei and Liu, Chen and Wang, Chengjie and Li, Jilin and Huang, Feiyue and Zhang, Li and Xue, Xiangyang}, title = {Learning Dynamic Alignment via Meta-Filter for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5182-5191} }

Unsupervised Learning of 3D Object Categories From Videos in the Wild
Philipp Henzler,
Jeremy Reizenstein,
Patrick Labatut,
Roman Shapovalov,
Tobias Ritschel,
Andrea Vedaldi,
David Novotny
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Henzler_2021_CVPR, author = {Henzler, Philipp and Reizenstein, Jeremy and Labatut, Patrick and Shapovalov, Roman and Ritschel, Tobias and Vedaldi, Andrea and Novotny, David}, title = {Unsupervised Learning of 3D Object Categories From Videos in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4700-4709} }

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} }

Dogfight: Detecting Drones From Drones Videos
Muhammad Waseem Ashraf,
Waqas Sultani,
Mubarak Shah
[pdf] [arXiv]
[bibtex]
@InProceedings{Ashraf_2021_CVPR, author = {Ashraf, Muhammad Waseem and Sultani, Waqas and Shah, Mubarak}, title = {Dogfight: Detecting Drones From Drones Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7067-7076} }

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} }

Group Collaborative Learning for Co-Salient Object Detection
Qi Fan,
Deng-Ping Fan,
Huazhu Fu,
Chi-Keung Tang,
Ling Shao,
Yu-Wing Tai
[pdf] [arXiv]
[bibtex]
@InProceedings{Fan_2021_CVPR, author = {Fan, Qi and Fan, Deng-Ping and Fu, Huazhu and Tang, Chi-Keung and Shao, Ling and Tai, Yu-Wing}, title = {Group Collaborative Learning for Co-Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12288-12298} }

RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening
Sungha Choi,
Sanghun Jung,
Huiwon Yun,
Joanne T. Kim,
Seungryong Kim,
Jaegul Choo
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Choi_2021_CVPR, author = {Choi, Sungha and Jung, Sanghun and Yun, Huiwon and Kim, Joanne T. and Kim, Seungryong and Choo, Jaegul}, title = {RobustNet: Improving Domain Generalization in Urban-Scene Segmentation via Instance Selective Whitening}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11580-11590} }

Monocular Real-Time Full Body Capture With Inter-Part Correlations
Yuxiao Zhou,
Marc Habermann,
Ikhsanul Habibie,
Ayush Tewari,
Christian Theobalt,
Feng Xu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yuxiao and Habermann, Marc and Habibie, Ikhsanul and Tewari, Ayush and Theobalt, Christian and Xu, Feng}, title = {Monocular Real-Time Full Body Capture With Inter-Part Correlations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4811-4822} }

Pre-Trained Image Processing Transformer
Hanting Chen,
Yunhe Wang,
Tianyu Guo,
Chang Xu,
Yiping Deng,
Zhenhua Liu,
Siwei Ma,
Chunjing Xu,
Chao Xu,
Wen Gao
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Hanting and Wang, Yunhe and Guo, Tianyu and Xu, Chang and Deng, Yiping and Liu, Zhenhua and Ma, Siwei and Xu, Chunjing and Xu, Chao and Gao, Wen}, title = {Pre-Trained Image Processing Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12299-12310} }

Robust and Accurate Object Detection via Adversarial Learning
Xiangning Chen,
Cihang Xie,
Mingxing Tan,
Li Zhang,
Cho-Jui Hsieh,
Boqing Gong
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Xiangning and Xie, Cihang and Tan, Mingxing and Zhang, Li and Hsieh, Cho-Jui and Gong, Boqing}, title = {Robust and Accurate Object Detection via Adversarial Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16622-16631} }

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} }

Panoptic-PolarNet: Proposal-Free LiDAR Point Cloud Panoptic Segmentation
Zixiang Zhou,
Yang Zhang,
Hassan Foroosh
[pdf] [supp]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Zixiang and Zhang, Yang and Foroosh, Hassan}, title = {Panoptic-PolarNet: Proposal-Free LiDAR Point Cloud Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13194-13203} }

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} }

Adaptive Weighted Discriminator for Training Generative Adversarial Networks
Vasily Zadorozhnyy,
Qiang Cheng,
Qiang Ye
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zadorozhnyy_2021_CVPR, author = {Zadorozhnyy, Vasily and Cheng, Qiang and Ye, Qiang}, title = {Adaptive Weighted Discriminator for Training Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4781-4790} }

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} }

Transformation Driven Visual Reasoning
Xin Hong,
Yanyan Lan,
Liang Pang,
Jiafeng Guo,
Xueqi Cheng
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hong_2021_CVPR, author = {Hong, Xin and Lan, Yanyan and Pang, Liang and Guo, Jiafeng and Cheng, Xueqi}, title = {Transformation Driven Visual Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6903-6912} }

Sparse R-CNN: End-to-End Object Detection With Learnable Proposals
Peize Sun,
Rufeng Zhang,
Yi Jiang,
Tao Kong,
Chenfeng Xu,
Wei Zhan,
Masayoshi Tomizuka,
Lei Li,
Zehuan Yuan,
Changhu Wang,
Ping Luo
[pdf]
[bibtex]
@InProceedings{Sun_2021_CVPR, author = {Sun, Peize and Zhang, Rufeng and Jiang, Yi and Kong, Tao and Xu, Chenfeng and Zhan, Wei and Tomizuka, Masayoshi and Li, Lei and Yuan, Zehuan and Wang, Changhu and Luo, Ping}, title = {Sparse R-CNN: End-to-End Object Detection With Learnable Proposals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14454-14463} }

Plan2Scene: Converting Floorplans to 3D Scenes
Madhawa Vidanapathirana,
Qirui Wu,
Yasutaka Furukawa,
Angel X. Chang,
Manolis Savva
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Vidanapathirana_2021_CVPR, author = {Vidanapathirana, Madhawa and Wu, Qirui and Furukawa, Yasutaka and Chang, Angel X. and Savva, Manolis}, title = {Plan2Scene: Converting Floorplans to 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10733-10742} }

Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges
Qingyong Hu,
Bo Yang,
Sheikh Khalid,
Wen Xiao,
Niki Trigoni,
Andrew Markham
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Qingyong and Yang, Bo and Khalid, Sheikh and Xiao, Wen and Trigoni, Niki and Markham, Andrew}, title = {Towards Semantic Segmentation of Urban-Scale 3D Point Clouds: A Dataset, Benchmarks and Challenges}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4977-4987} }

Towards Open World Object Detection
K J Joseph,
Salman Khan,
Fahad Shahbaz Khan,
Vineeth N Balasubramanian
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Joseph_2021_CVPR, author = {Joseph, K J and Khan, Salman and Khan, Fahad Shahbaz and Balasubramanian, Vineeth N}, title = {Towards Open World Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5830-5840} }

Conditional Bures Metric for Domain Adaptation
You-Wei Luo,
Chuan-Xian Ren
[pdf] [supp]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, You-Wei and Ren, Chuan-Xian}, title = {Conditional Bures Metric for Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13989-13998} }

DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort
Yuxuan Zhang,
Huan Ling,
Jun Gao,
Kangxue Yin,
Jean-Francois Lafleche,
Adela Barriuso,
Antonio Torralba,
Sanja Fidler
[pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yuxuan and Ling, Huan and Gao, Jun and Yin, Kangxue and Lafleche, Jean-Francois and Barriuso, Adela and Torralba, Antonio and Fidler, Sanja}, title = {DatasetGAN: Efficient Labeled Data Factory With Minimal Human Effort}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10145-10155} }

Repurposing GANs for One-Shot Semantic Part Segmentation
Nontawat Tritrong,
Pitchaporn Rewatbowornwong,
Supasorn Suwajanakorn
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tritrong_2021_CVPR, author = {Tritrong, Nontawat and Rewatbowornwong, Pitchaporn and Suwajanakorn, Supasorn}, title = {Repurposing GANs for One-Shot Semantic Part Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4475-4485} }

Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time
Shaowei Liu,
Hanwen Jiang,
Jiarui Xu,
Sifei Liu,
Xiaolong Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Shaowei and Jiang, Hanwen and Xu, Jiarui and Liu, Sifei and Wang, Xiaolong}, title = {Semi-Supervised 3D Hand-Object Poses Estimation With Interactions in Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14687-14697} }

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} }

Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times
Omer Dahary,
Matan Jacoby,
Alex M. Bronstein
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dahary_2021_CVPR, author = {Dahary, Omer and Jacoby, Matan and Bronstein, Alex M.}, title = {Digital Gimbal: End-to-End Deep Image Stabilization With Learnable Exposure Times}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11936-11945} }

Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach
Xingqian Xu,
Zhifei Zhang,
Zhaowen Wang,
Brian Price,
Zhonghao Wang,
Humphrey Shi
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Xingqian and Zhang, Zhifei and Wang, Zhaowen and Price, Brian and Wang, Zhonghao and Shi, Humphrey}, title = {Rethinking Text Segmentation: A Novel Dataset and a Text-Specific Refinement Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12045-12055} }

SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events
Li Xu,
He Huang,
Jun Liu
[pdf] [supp]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Li and Huang, He and Liu, Jun}, title = {SUTD-TrafficQA: A Question Answering Benchmark and an Efficient Network for Video Reasoning Over Traffic Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9878-9888} }

T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval
Xiaohan Wang,
Linchao Zhu,
Yi Yang
[pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xiaohan and Zhu, Linchao and Yang, Yi}, title = {T2VLAD: Global-Local Sequence Alignment for Text-Video Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5079-5088} }

Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings
Mihai Dusmanu,
Johannes L. Schonberger,
Sudipta N. Sinha,
Marc Pollefeys
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Dusmanu_2021_CVPR, author = {Dusmanu, Mihai and Schonberger, Johannes L. and Sinha, Sudipta N. and Pollefeys, Marc}, title = {Privacy-Preserving Image Features via Adversarial Affine Subspace Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14267-14277} }

StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval
Aneeshan Sain,
Ayan Kumar Bhunia,
Yongxin Yang,
Tao Xiang,
Yi-Zhe Song
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Sain_2021_CVPR, author = {Sain, Aneeshan and Bhunia, Ayan Kumar and Yang, Yongxin and Xiang, Tao and Song, Yi-Zhe}, title = {StyleMeUp: Towards Style-Agnostic Sketch-Based Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8504-8513} }

Embedding Transfer With Label Relaxation for Improved Metric Learning
Sungyeon Kim,
Dongwon Kim,
Minsu Cho,
Suha Kwak
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Sungyeon and Kim, Dongwon and Cho, Minsu and Kwak, Suha}, title = {Embedding Transfer With Label Relaxation for Improved Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3967-3976} }

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} }

Layout-Guided Novel View Synthesis From a Single Indoor Panorama
Jiale Xu,
Jia Zheng,
Yanyu Xu,
Rui Tang,
Shenghua Gao
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Jiale and Zheng, Jia and Xu, Yanyu and Tang, Rui and Gao, Shenghua}, title = {Layout-Guided Novel View Synthesis From a Single Indoor Panorama}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16438-16447} }

STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks
Zhihong Fu,
Qingjie Liu,
Zehua Fu,
Yunhong Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fu_2021_CVPR, author = {Fu, Zhihong and Liu, Qingjie and Fu, Zehua and Wang, Yunhong}, title = {STMTrack: Template-Free Visual Tracking With Space-Time Memory Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13774-13783} }

Reformulating HOI Detection As Adaptive Set Prediction
Mingfei Chen,
Yue Liao,
Si Liu,
Zhiyuan Chen,
Fei Wang,
Chen Qian
[pdf] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Mingfei and Liao, Yue and Liu, Si and Chen, Zhiyuan and Wang, Fei and Qian, Chen}, title = {Reformulating HOI Detection As Adaptive Set Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9004-9013} }

Strengthen Learning Tolerance for Weakly Supervised Object Localization
Guangyu Guo,
Junwei Han,
Fang Wan,
Dingwen Zhang
[pdf]
[bibtex]
@InProceedings{Guo_2021_CVPR, author = {Guo, Guangyu and Han, Junwei and Wan, Fang and Zhang, Dingwen}, title = {Strengthen Learning Tolerance for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7403-7412} }

Mesh Saliency: An Independent Perceptual Measure or a Derivative of Image Saliency?
Ran Song,
Wei Zhang,
Yitian Zhao,
Yonghuai Liu,
Paul L. Rosin
[pdf] [supp]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Ran and Zhang, Wei and Zhao, Yitian and Liu, Yonghuai and Rosin, Paul L.}, title = {Mesh Saliency: An Independent Perceptual Measure or a Derivative of Image Saliency?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8853-8862} }

Passive Inter-Photon Imaging
Atul Ingle,
Trevor Seets,
Mauro Buttafava,
Shantanu Gupta,
Alberto Tosi,
Mohit Gupta,
Andreas Velten
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ingle_2021_CVPR, author = {Ingle, Atul and Seets, Trevor and Buttafava, Mauro and Gupta, Shantanu and Tosi, Alberto and Gupta, Mohit and Velten, Andreas}, title = {Passive Inter-Photon Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8585-8595} }

Domain Consensus Clustering for Universal Domain Adaptation
Guangrui Li,
Guoliang Kang,
Yi Zhu,
Yunchao Wei,
Yi Yang
[pdf] [supp]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Guangrui and Kang, Guoliang and Zhu, Yi and Wei, Yunchao and Yang, Yi}, title = {Domain Consensus Clustering for Universal Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9757-9766} }

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} }

Audio-Driven Emotional Video Portraits
Xinya Ji,
Hang Zhou,
Kaisiyuan Wang,
Wayne Wu,
Chen Change Loy,
Xun Cao,
Feng Xu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ji_2021_CVPR, author = {Ji, Xinya and Zhou, Hang and Wang, Kaisiyuan and Wu, Wayne and Loy, Chen Change and Cao, Xun and Xu, Feng}, title = {Audio-Driven Emotional Video Portraits}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14080-14089} }

Pareto Self-Supervised Training for Few-Shot Learning
Zhengyu Chen,
Jixie Ge,
Heshen Zhan,
Siteng Huang,
Donglin Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Zhengyu and Ge, Jixie and Zhan, Heshen and Huang, Siteng and Wang, Donglin}, title = {Pareto Self-Supervised Training for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13663-13672} }

EnD: Entangling and Disentangling Deep Representations for Bias Correction
Enzo Tartaglione,
Carlo Alberto Barbano,
Marco Grangetto
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tartaglione_2021_CVPR, author = {Tartaglione, Enzo and Barbano, Carlo Alberto and Grangetto, Marco}, title = {EnD: Entangling and Disentangling Deep Representations for Bias Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13508-13517} }

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} }

Probabilistic Embeddings for Cross-Modal Retrieval
Sanghyuk Chun,
Seong Joon Oh,
Rafael Sampaio de Rezende,
Yannis Kalantidis,
Diane Larlus
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chun_2021_CVPR, author = {Chun, Sanghyuk and Oh, Seong Joon and de Rezende, Rafael Sampaio and Kalantidis, Yannis and Larlus, Diane}, title = {Probabilistic Embeddings for Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8415-8424} }

Cloud2Curve: Generation and Vectorization of Parametric Sketches
Ayan Das,
Yongxin Yang,
Timothy M. Hospedales,
Tao Xiang,
Yi-Zhe Song
[pdf] [arXiv]
[bibtex]
@InProceedings{Das_2021_CVPR, author = {Das, Ayan and Yang, Yongxin and Hospedales, Timothy M. and Xiang, Tao and Song, Yi-Zhe}, title = {Cloud2Curve: Generation and Vectorization of Parametric Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7088-7097} }

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} }

On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective
Nontawat Charoenphakdee,
Jayakorn Vongkulbhisal,
Nuttapong Chairatanakul,
Masashi Sugiyama
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Charoenphakdee_2021_CVPR, author = {Charoenphakdee, Nontawat and Vongkulbhisal, Jayakorn and Chairatanakul, Nuttapong and Sugiyama, Masashi}, title = {On Focal Loss for Class-Posterior Probability Estimation: A Theoretical Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5202-5211} }

VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation
Siyuan Qiao,
Yukun Zhu,
Hartwig Adam,
Alan Yuille,
Liang-Chieh Chen
[pdf] [supp]
[bibtex]
@InProceedings{Qiao_2021_CVPR, author = {Qiao, Siyuan and Zhu, Yukun and Adam, Hartwig and Yuille, Alan and Chen, Liang-Chieh}, title = {VIP-DeepLab: Learning Visual Perception With Depth-Aware Video Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3997-4008} }

Sequence-to-Sequence Contrastive Learning for Text Recognition
Aviad Aberdam,
Ron Litman,
Shahar Tsiper,
Oron Anschel,
Ron Slossberg,
Shai Mazor,
R. Manmatha,
Pietro Perona
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Aberdam_2021_CVPR, author = {Aberdam, Aviad and Litman, Ron and Tsiper, Shahar and Anschel, Oron and Slossberg, Ron and Mazor, Shai and Manmatha, R. and Perona, Pietro}, title = {Sequence-to-Sequence Contrastive Learning for Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15302-15312} }

Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing
Xunguang Wang,
Zheng Zhang,
Baoyuan Wu,
Fumin Shen,
Guangming Lu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Xunguang and Zhang, Zheng and Wu, Baoyuan and Shen, Fumin and Lu, Guangming}, title = {Prototype-Supervised Adversarial Network for Targeted Attack of Deep Hashing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16357-16366} }

PD-GAN: Probabilistic Diverse GAN for Image Inpainting
Hongyu Liu,
Ziyu Wan,
Wei Huang,
Yibing Song,
Xintong Han,
Jing Liao
[pdf] [supp]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Hongyu and Wan, Ziyu and Huang, Wei and Song, Yibing and Han, Xintong and Liao, Jing}, title = {PD-GAN: Probabilistic Diverse GAN for Image Inpainting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9371-9381} }

Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation
Golnaz Ghiasi,
Yin Cui,
Aravind Srinivas,
Rui Qian,
Tsung-Yi Lin,
Ekin D. Cubuk,
Quoc V. Le,
Barret Zoph
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Ghiasi_2021_CVPR, author = {Ghiasi, Golnaz and Cui, Yin and Srinivas, Aravind and Qian, Rui and Lin, Tsung-Yi and Cubuk, Ekin D. and Le, Quoc V. and Zoph, Barret}, title = {Simple Copy-Paste Is a Strong Data Augmentation Method for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2918-2928} }

Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction
Dongsheng An,
Jianwen Xie,
Ping Li
[pdf] [supp]
[bibtex]
@InProceedings{An_2021_CVPR, author = {An, Dongsheng and Xie, Jianwen and Li, Ping}, title = {Learning Deep Latent Variable Models by Short-Run MCMC Inference With Optimal Transport Correction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15415-15424} }

MobileDets: Searching for Object Detection Architectures for Mobile Accelerators
Yunyang Xiong,
Hanxiao Liu,
Suyog Gupta,
Berkin Akin,
Gabriel Bender,
Yongzhe Wang,
Pieter-Jan Kindermans,
Mingxing Tan,
Vikas Singh,
Bo Chen
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xiong_2021_CVPR, author = {Xiong, Yunyang and Liu, Hanxiao and Gupta, Suyog and Akin, Berkin and Bender, Gabriel and Wang, Yongzhe and Kindermans, Pieter-Jan and Tan, Mingxing and Singh, Vikas and Chen, Bo}, title = {MobileDets: Searching for Object Detection Architectures for Mobile Accelerators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3825-3834} }

Self-Supervised Geometric Perception
Heng Yang,
Wei Dong,
Luca Carlone,
Vladlen Koltun
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Heng and Dong, Wei and Carlone, Luca and Koltun, Vladlen}, title = {Self-Supervised Geometric Perception}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14350-14361} }

CutPaste: Self-Supervised Learning for Anomaly Detection and Localization
Chun-Liang Li,
Kihyuk Sohn,
Jinsung Yoon,
Tomas Pfister
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Chun-Liang and Sohn, Kihyuk and Yoon, Jinsung and Pfister, Tomas}, title = {CutPaste: Self-Supervised Learning for Anomaly Detection and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9664-9674} }

Open World Compositional Zero-Shot Learning
Massimiliano Mancini,
Muhammad Ferjad Naeem,
Yongqin Xian,
Zeynep Akata
[pdf] [supp]
[bibtex]
@InProceedings{Mancini_2021_CVPR, author = {Mancini, Massimiliano and Naeem, Muhammad Ferjad and Xian, Yongqin and Akata, Zeynep}, title = {Open World Compositional Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5222-5230} }

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} }

Complementary Relation Contrastive Distillation
Jinguo Zhu,
Shixiang Tang,
Dapeng Chen,
Shijie Yu,
Yakun Liu,
Mingzhe Rong,
Aijun Yang,
Xiaohua Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Jinguo and Tang, Shixiang and Chen, Dapeng and Yu, Shijie and Liu, Yakun and Rong, Mingzhe and Yang, Aijun and Wang, Xiaohua}, title = {Complementary Relation Contrastive Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9260-9269} }

UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification
Tianyu Zhang,
Lingxi Xie,
Longhui Wei,
Zijie Zhuang,
Yongfei Zhang,
Bo Li,
Qi Tian
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Tianyu and Xie, Lingxi and Wei, Longhui and Zhuang, Zijie and Zhang, Yongfei and Li, Bo and Tian, Qi}, title = {UnrealPerson: An Adaptive Pipeline Towards Costless Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11506-11515} }

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} }

House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects
Nelson Nauata,
Sepidehsadat Hosseini,
Kai-Hung Chang,
Hang Chu,
Chin-Yi Cheng,
Yasutaka Furukawa
[pdf] [supp]
[bibtex]
@InProceedings{Nauata_2021_CVPR, author = {Nauata, Nelson and Hosseini, Sepidehsadat and Chang, Kai-Hung and Chu, Hang and Cheng, Chin-Yi and Furukawa, Yasutaka}, title = {House-GAN++: Generative Adversarial Layout Refinement Network towards Intelligent Computational Agent for Professional Architects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13632-13641} }

HDR Environment Map Estimation for Real-Time Augmented Reality
Gowri Somanath,
Daniel Kurz
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Somanath_2021_CVPR, author = {Somanath, Gowri and Kurz, Daniel}, title = {HDR Environment Map Estimation for Real-Time Augmented Reality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11298-11306} }

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} }

Progressive Semantic Segmentation
Chuong Huynh,
Anh Tuan Tran,
Khoa Luu,
Minh Hoai
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huynh_2021_CVPR, author = {Huynh, Chuong and Tran, Anh Tuan and Luu, Khoa and Hoai, Minh}, title = {Progressive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16755-16764} }

BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond
Kelvin C.K. Chan,
Xintao Wang,
Ke Yu,
Chao Dong,
Chen Change Loy
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chan_2021_CVPR, author = {Chan, Kelvin C.K. and Wang, Xintao and Yu, Ke and Dong, Chao and Loy, Chen Change}, title = {BasicVSR: The Search for Essential Components in Video Super-Resolution and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4947-4956} }

Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion
Matteo Maggioni,
Yibin Huang,
Cheng Li,
Shuai Xiao,
Zhongqian Fu,
Fenglong Song
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Maggioni_2021_CVPR, author = {Maggioni, Matteo and Huang, Yibin and Li, Cheng and Xiao, Shuai and Fu, Zhongqian and Song, Fenglong}, title = {Efficient Multi-Stage Video Denoising With Recurrent Spatio-Temporal Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3466-3475} }

Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map
Elmira Amirloo,
Mohsen Rohani,
Ershad Banijamali,
Jun Luo,
Pascal Poupart
[pdf] [arXiv]
[bibtex]
@InProceedings{Amirloo_2021_CVPR, author = {Amirloo, Elmira and Rohani, Mohsen and Banijamali, Ershad and Luo, Jun and Poupart, Pascal}, title = {Self-Supervised Simultaneous Multi-Step Prediction of Road Dynamics and Cost Map}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8494-8503} }

Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking
Fatemeh Saleh,
Sadegh Aliakbarian,
Hamid Rezatofighi,
Mathieu Salzmann,
Stephen Gould
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Saleh_2021_CVPR, author = {Saleh, Fatemeh and Aliakbarian, Sadegh and Rezatofighi, Hamid and Salzmann, Mathieu and Gould, Stephen}, title = {Probabilistic Tracklet Scoring and Inpainting for Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14329-14339} }

Stay Positive: Non-Negative Image Synthesis for Augmented Reality
Katie Luo,
Guandao Yang,
Wenqi Xian,
Harald Haraldsson,
Bharath Hariharan,
Serge Belongie
[pdf] [supp]
[bibtex]
@InProceedings{Luo_2021_CVPR, author = {Luo, Katie and Yang, Guandao and Xian, Wenqi and Haraldsson, Harald and Hariharan, Bharath and Belongie, Serge}, title = {Stay Positive: Non-Negative Image Synthesis for Augmented Reality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10050-10060} }

3D-to-2D Distillation for Indoor Scene Parsing
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 = {3D-to-2D Distillation for Indoor Scene Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4464-4474} }

Learning the Best Pooling Strategy for Visual Semantic Embedding
Jiacheng Chen,
Hexiang Hu,
Hao Wu,
Yuning Jiang,
Changhu Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Jiacheng and Hu, Hexiang and Wu, Hao and Jiang, Yuning and Wang, Changhu}, title = {Learning the Best Pooling Strategy for Visual Semantic Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15789-15798} }

GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition
Fengmin Shi,
Jie Guo,
Haonan Zhang,
Shan Yang,
Xiying Wang,
Yanwen Guo
[pdf] [supp]
[bibtex]
@InProceedings{Shi_2021_CVPR, author = {Shi, Fengmin and Guo, Jie and Zhang, Haonan and Yang, Shan and Wang, Xiying and Guo, Yanwen}, title = {GLAVNet: Global-Local Audio-Visual Cues for Fine-Grained Material Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14433-14442} }

Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification
Xiao Zhang,
Yixiao Ge,
Yu Qiao,
Hongsheng Li
[pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiao and Ge, Yixiao and Qiao, Yu and Li, Hongsheng}, title = {Refining Pseudo Labels With Clustering Consensus Over Generations for Unsupervised Object Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3436-3445} }

Regularizing Generative Adversarial Networks Under Limited Data
Hung-Yu Tseng,
Lu Jiang,
Ce Liu,
Ming-Hsuan Yang,
Weilong Yang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tseng_2021_CVPR, author = {Tseng, Hung-Yu and Jiang, Lu and Liu, Ce and Yang, Ming-Hsuan and Yang, Weilong}, title = {Regularizing Generative Adversarial Networks Under Limited Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7921-7931} }

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} }

Regularizing Neural Networks via Adversarial Model Perturbation
Yaowei Zheng,
Richong Zhang,
Yongyi Mao
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zheng_2021_CVPR, author = {Zheng, Yaowei and Zhang, Richong and Mao, Yongyi}, title = {Regularizing Neural Networks via Adversarial Model Perturbation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8156-8165} }

Learning by Aligning Videos in Time
Sanjay Haresh,
Sateesh Kumar,
Huseyin Coskun,
Shahram N. Syed,
Andrey Konin,
Zeeshan Zia,
Quoc-Huy Tran
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Haresh_2021_CVPR, author = {Haresh, Sanjay and Kumar, Sateesh and Coskun, Huseyin and Syed, Shahram N. and Konin, Andrey and Zia, Zeeshan and Tran, Quoc-Huy}, title = {Learning by Aligning Videos in Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5548-5558} }

Contrastive Neural Architecture Search With Neural Architecture Comparators
Yaofo Chen,
Yong Guo,
Qi Chen,
Minli Li,
Wei Zeng,
Yaowei Wang,
Mingkui Tan
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Chen_2021_CVPR, author = {Chen, Yaofo and Guo, Yong and Chen, Qi and Li, Minli and Zeng, Wei and Wang, Yaowei and Tan, Mingkui}, title = {Contrastive Neural Architecture Search With Neural Architecture Comparators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9502-9511} }

Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter
Tianwei Wang,
Yuanzhi Zhu,
Lianwen Jin,
Dezhi Peng,
Zhe Li,
Mengchao He,
Yongpan Wang,
Canjie Luo
[pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Tianwei and Zhu, Yuanzhi and Jin, Lianwen and Peng, Dezhi and Li, Zhe and He, Mengchao and Wang, Yongpan and Luo, Canjie}, title = {Implicit Feature Alignment: Learn To Convert Text Recognizer to Text Spotter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5973-5982} }

Populating 3D Scenes by Learning Human-Scene Interaction
Mohamed Hassan,
Partha Ghosh,
Joachim Tesch,
Dimitrios Tzionas,
Michael J. Black
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hassan_2021_CVPR, author = {Hassan, Mohamed and Ghosh, Partha and Tesch, Joachim and Tzionas, Dimitrios and Black, Michael J.}, title = {Populating 3D Scenes by Learning Human-Scene Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14708-14718} }

Variational Pedestrian Detection
Yuang Zhang,
Huanyu He,
Jianguo Li,
Yuxi Li,
John See,
Weiyao Lin
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yuang and He, Huanyu and Li, Jianguo and Li, Yuxi and See, John and Lin, Weiyao}, title = {Variational Pedestrian Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11622-11631} }

SIPSA-Net: Shift-Invariant Pan Sharpening With Moving Object Alignment for Satellite Imagery
Jaehyup Lee,
Soomin Seo,
Munchurl Kim
[pdf] [supp]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jaehyup and Seo, Soomin and Kim, Munchurl}, title = {SIPSA-Net: Shift-Invariant Pan Sharpening With Moving Object Alignment for Satellite Imagery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10166-10174} }

Large-Scale Localization Datasets in Crowded Indoor Spaces
Donghwan Lee,
Soohyun Ryu,
Suyong Yeon,
Yonghan Lee,
Deokhwa Kim,
Cheolho Han,
Yohann Cabon,
Philippe Weinzaepfel,
Nicolas Guerin,
Gabriela Csurka,
Martin Humenberger
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Donghwan and Ryu, Soohyun and Yeon, Suyong and Lee, Yonghan and Kim, Deokhwa and Han, Cheolho and Cabon, Yohann and Weinzaepfel, Philippe and Guerin, Nicolas and Csurka, Gabriela and Humenberger, Martin}, title = {Large-Scale Localization Datasets in Crowded Indoor Spaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3227-3236} }

Distilling Causal Effect of Data in Class-Incremental Learning
Xinting Hu,
Kaihua Tang,
Chunyan Miao,
Xian-Sheng Hua,
Hanwang Zhang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Xinting and Tang, Kaihua and Miao, Chunyan and Hua, Xian-Sheng and Zhang, Hanwang}, title = {Distilling Causal Effect of Data in Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3957-3966} }

Backdoor Attacks Against Deep Learning Systems in the Physical World
Emily Wenger,
Josephine Passananti,
Arjun Nitin Bhagoji,
Yuanshun Yao,
Haitao Zheng,
Ben Y. Zhao
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wenger_2021_CVPR, author = {Wenger, Emily and Passananti, Josephine and Bhagoji, Arjun Nitin and Yao, Yuanshun and Zheng, Haitao and Zhao, Ben Y.}, title = {Backdoor Attacks Against Deep Learning Systems in the Physical World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6206-6215} }

A Multiplexed Network for End-to-End, Multilingual OCR
Jing Huang,
Guan Pang,
Rama Kovvuri,
Mandy Toh,
Kevin J Liang,
Praveen Krishnan,
Xi Yin,
Tal Hassner
[pdf] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Jing and Pang, Guan and Kovvuri, Rama and Toh, Mandy and Liang, Kevin J and Krishnan, Praveen and Yin, Xi and Hassner, Tal}, title = {A Multiplexed Network for End-to-End, Multilingual OCR}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4547-4557} }

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} }

Causal Hidden Markov Model for Time Series Disease Forecasting
Jing Li,
Botong Wu,
Xinwei Sun,
Yizhou Wang
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Jing and Wu, Botong and Sun, Xinwei and Wang, Yizhou}, title = {Causal Hidden Markov Model for Time Series Disease Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12105-12114} }

Generalizable Pedestrian Detection: The Elephant in the Room
Irtiza Hasan,
Shengcai Liao,
Jinpeng Li,
Saad Ullah Akram,
Ling Shao
[pdf] [arXiv]
[bibtex]
@InProceedings{Hasan_2021_CVPR, author = {Hasan, Irtiza and Liao, Shengcai and Li, Jinpeng and Akram, Saad Ullah and Shao, Ling}, title = {Generalizable Pedestrian Detection: The Elephant in the Room}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11328-11337} }

Focus on Local: Detecting Lane Marker From Bottom Up via Key Point
Zhan Qu,
Huan Jin,
Yang Zhou,
Zhen Yang,
Wei Zhang
[pdf] [arXiv]
[bibtex]
@InProceedings{Qu_2021_CVPR, author = {Qu, Zhan and Jin, Huan and Zhou, Yang and Yang, Zhen and Zhang, Wei}, title = {Focus on Local: Detecting Lane Marker From Bottom Up via Key Point}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14122-14130} }

Memory-Guided Unsupervised Image-to-Image Translation
Somi Jeong,
Youngjung Kim,
Eungbean Lee,
Kwanghoon Sohn
[pdf] [arXiv]
[bibtex]
@InProceedings{Jeong_2021_CVPR, author = {Jeong, Somi and Kim, Youngjung and Lee, Eungbean and Sohn, Kwanghoon}, title = {Memory-Guided Unsupervised Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6558-6567} }

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} }

Scene-Aware Generative Network for Human Motion Synthesis
Jingbo Wang,
Sijie Yan,
Bo Dai,
Dahua Lin
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Jingbo and Yan, Sijie and Dai, Bo and Lin, Dahua}, title = {Scene-Aware Generative Network for Human Motion Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12206-12215} }

Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis
Yaxuan Zhu,
Ruiqi Gao,
Siyuan Huang,
Song-Chun Zhu,
Ying Nian Wu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhu_2021_CVPR, author = {Zhu, Yaxuan and Gao, Ruiqi and Huang, Siyuan and Zhu, Song-Chun and Wu, Ying Nian}, title = {Learning Neural Representation of Camera Pose with Matrix Representation of Pose Shift via View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9959-9968} }

PML: Progressive Margin Loss for Long-Tailed Age Classification
Zongyong Deng,
Hao Liu,
Yaoxing Wang,
Chenyang Wang,
Zekuan Yu,
Xuehong Sun
[pdf] [arXiv]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Zongyong and Liu, Hao and Wang, Yaoxing and Wang, Chenyang and Yu, Zekuan and Sun, Xuehong}, title = {PML: Progressive Margin Loss for Long-Tailed Age Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10503-10512} }

Single Image Depth Prediction With Wavelet Decomposition
Michael Ramamonjisoa,
Michael Firman,
Jamie Watson,
Vincent Lepetit,
Daniyar Turmukhambetov
[pdf] [supp]
[bibtex]
@InProceedings{Ramamonjisoa_2021_CVPR, author = {Ramamonjisoa, Michael and Firman, Michael and Watson, Jamie and Lepetit, Vincent and Turmukhambetov, Daniyar}, title = {Single Image Depth Prediction With Wavelet Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11089-11098} }

PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features
Zhenwei Miao,
Jikai Chen,
Hongyu Pan,
Ruiwen Zhang,
Kaixuan Liu,
Peihan Hao,
Jun Zhu,
Yang Wang,
Xin Zhan
[pdf]
[bibtex]
@InProceedings{Miao_2021_CVPR, author = {Miao, Zhenwei and Chen, Jikai and Pan, Hongyu and Zhang, Ruiwen and Liu, Kaixuan and Hao, Peihan and Zhu, Jun and Wang, Yang and Zhan, Xin}, title = {PVGNet: A Bottom-Up One-Stage 3D Object Detector With Integrated Multi-Level Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3279-3288} }

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} }

KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment
Soo Ye Kim,
Hyeonjun Sim,
Munchurl Kim
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Soo Ye and Sim, Hyeonjun and Kim, Munchurl}, title = {KOALAnet: Blind Super-Resolution Using Kernel-Oriented Adaptive Local Adjustment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10611-10620} }

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} }

Multiple Object Tracking With Correlation Learning
Qiang Wang,
Yun Zheng,
Pan Pan,
Yinghui Xu
[pdf] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Qiang and Zheng, Yun and Pan, Pan and Xu, Yinghui}, title = {Multiple Object Tracking With Correlation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3876-3886} }

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} }

PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training
Luke Melas-Kyriazi,
Arjun K. Manrai
[pdf] [supp]
[bibtex]
@InProceedings{Melas-Kyriazi_2021_CVPR, author = {Melas-Kyriazi, Luke and Manrai, Arjun K.}, title = {PixMatch: Unsupervised Domain Adaptation via Pixelwise Consistency Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12435-12445} }

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} }

Exploring Sparsity in Image Super-Resolution for Efficient Inference
Longguang Wang,
Xiaoyu Dong,
Yingqian Wang,
Xinyi Ying,
Zaiping Lin,
Wei An,
Yulan Guo
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Longguang and Dong, Xiaoyu and Wang, Yingqian and Ying, Xinyi and Lin, Zaiping and An, Wei and Guo, Yulan}, title = {Exploring Sparsity in Image Super-Resolution for Efficient Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4917-4926} }

Positive Sample Propagation Along the Audio-Visual Event Line
Jinxing Zhou,
Liang Zheng,
Yiran Zhong,
Shijie Hao,
Meng Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Jinxing and Zheng, Liang and Zhong, Yiran and Hao, Shijie and Wang, Meng}, title = {Positive Sample Propagation Along the Audio-Visual Event Line}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8436-8444} }

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} }

Variational Prototype Learning for Deep Face Recognition
Jiankang Deng,
Jia Guo,
Jing Yang,
Alexandros Lattas,
Stefanos Zafeiriou
[pdf]
[bibtex]
@InProceedings{Deng_2021_CVPR, author = {Deng, Jiankang and Guo, Jia and Yang, Jing and Lattas, Alexandros and Zafeiriou, Stefanos}, title = {Variational Prototype Learning for Deep Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11906-11915} }

StylePeople: A Generative Model of Fullbody Human Avatars
Artur Grigorev,
Karim Iskakov,
Anastasia Ianina,
Renat Bashirov,
Ilya Zakharkin,
Alexander Vakhitov,
Victor Lempitsky
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Grigorev_2021_CVPR, author = {Grigorev, Artur and Iskakov, Karim and Ianina, Anastasia and Bashirov, Renat and Zakharkin, Ilya and Vakhitov, Alexander and Lempitsky, Victor}, title = {StylePeople: A Generative Model of Fullbody Human Avatars}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5151-5160} }

Optimal Quantization Using Scaled Codebook
Yerlan Idelbayev,
Pavlo Molchanov,
Maying Shen,
Hongxu Yin,
Miguel A. Carreira-Perpinan,
Jose M. Alvarez
[pdf]
[bibtex]
@InProceedings{Idelbayev_2021_CVPR, author = {Idelbayev, Yerlan and Molchanov, Pavlo and Shen, Maying and Yin, Hongxu and Carreira-Perpinan, Miguel A. and Alvarez, Jose M.}, title = {Optimal Quantization Using Scaled Codebook}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12095-12104} }

RPN Prototype Alignment for Domain Adaptive Object Detector
Yixin Zhang,
Zilei Wang,
Yushi Mao
[pdf]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yixin and Wang, Zilei and Mao, Yushi}, title = {RPN Prototype Alignment for Domain Adaptive Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12425-12434} }

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} }

Binary TTC: A Temporal Geofence for Autonomous Navigation
Abhishek Badki,
Orazio Gallo,
Jan Kautz,
Pradeep Sen
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Badki_2021_CVPR, author = {Badki, Abhishek and Gallo, Orazio and Kautz, Jan and Sen, Pradeep}, title = {Binary TTC: A Temporal Geofence for Autonomous Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12946-12955} }

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} }

Real-Time High-Resolution Background Matting
Shanchuan Lin,
Andrey Ryabtsev,
Soumyadip Sengupta,
Brian L. Curless,
Steven M. Seitz,
Ira Kemelmacher-Shlizerman
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lin_2021_CVPR, author = {Lin, Shanchuan and Ryabtsev, Andrey and Sengupta, Soumyadip and Curless, Brian L. and Seitz, Steven M. and Kemelmacher-Shlizerman, Ira}, title = {Real-Time High-Resolution Background Matting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8762-8771} }

Interpretable Social Anchors for Human Trajectory Forecasting in Crowds
Parth Kothari,
Brian Sifringer,
Alexandre Alahi
[pdf] [arXiv]
[bibtex]
@InProceedings{Kothari_2021_CVPR, author = {Kothari, Parth and Sifringer, Brian and Alahi, Alexandre}, title = {Interpretable Social Anchors for Human Trajectory Forecasting in Crowds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15556-15566} }

Trajectory Prediction With Latent Belief Energy-Based Model
Bo Pang,
Tianyang Zhao,
Xu Xie,
Ying Nian Wu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Pang_2021_CVPR, author = {Pang, Bo and Zhao, Tianyang and Xie, Xu and Wu, Ying Nian}, title = {Trajectory Prediction With Latent Belief Energy-Based Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11814-11824} }

Metadata Normalization
Mandy Lu,
Qingyu Zhao,
Jiequan Zhang,
Kilian M. Pohl,
Li Fei-Fei,
Juan Carlos Niebles,
Ehsan Adeli
[pdf] [arXiv]
[bibtex]
@InProceedings{Lu_2021_CVPR, author = {Lu, Mandy and Zhao, Qingyu and Zhang, Jiequan and Pohl, Kilian M. and Fei-Fei, Li and Niebles, Juan Carlos and Adeli, Ehsan}, title = {Metadata Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10917-10927} }

Multi-Objective Interpolation Training for Robustness To Label Noise
Diego Ortego,
Eric Arazo,
Paul Albert,
Noel E. O'Connor,
Kevin McGuinness
[pdf] [arXiv]
[bibtex]
@InProceedings{Ortego_2021_CVPR, author = {Ortego, Diego and Arazo, Eric and Albert, Paul and O'Connor, Noel E. and McGuinness, Kevin}, title = {Multi-Objective Interpolation Training for Robustness To Label Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6606-6615} }

PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting
Kai Zhang,
Fujun Luan,
Qianqian Wang,
Kavita Bala,
Noah Snavely
[pdf] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Kai and Luan, Fujun and Wang, Qianqian and Bala, Kavita and Snavely, Noah}, title = {PhySG: Inverse Rendering With Spherical Gaussians for Physics-Based Material Editing and Relighting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5453-5462} }

Predator: Registration of 3D Point Clouds With Low Overlap
Shengyu Huang,
Zan Gojcic,
Mikhail Usvyatsov,
Andreas Wieser,
Konrad Schindler
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Huang_2021_CVPR, author = {Huang, Shengyu and Gojcic, Zan and Usvyatsov, Mikhail and Wieser, Andreas and Schindler, Konrad}, title = {Predator: Registration of 3D Point Clouds With Low Overlap}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4267-4276} }

Hierarchical Motion Understanding via Motion Programs
Sumith Kulal,
Jiayuan Mao,
Alex Aiken,
Jiajun Wu
[pdf] [arXiv]
[bibtex]
@InProceedings{Kulal_2021_CVPR, author = {Kulal, Sumith and Mao, Jiayuan and Aiken, Alex and Wu, Jiajun}, title = {Hierarchical Motion Understanding via Motion Programs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6568-6576} }

Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation
Valentin Khrulkov,
Artem Babenko
[pdf]
[bibtex]
@InProceedings{Khrulkov_2021_CVPR, author = {Khrulkov, Valentin and Babenko, Artem}, title = {Neural Side-by-Side: Predicting Human Preferences for No-Reference Super-Resolution Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4988-4997} }

Coordinate Attention for Efficient Mobile Network Design
Qibin Hou,
Daquan Zhou,
Jiashi Feng
[pdf] [arXiv]
[bibtex]
@InProceedings{Hou_2021_CVPR, author = {Hou, Qibin and Zhou, Daquan and Feng, Jiashi}, title = {Coordinate Attention for Efficient Mobile Network Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13713-13722} }

Stylized Neural Painting
Zhengxia Zou,
Tianyang Shi,
Shuang Qiu,
Yi Yuan,
Zhenwei Shi
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zou_2021_CVPR, author = {Zou, Zhengxia and Shi, Tianyang and Qiu, Shuang and Yuan, Yi and Shi, Zhenwei}, title = {Stylized Neural Painting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15689-15698} }

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} }

Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification
Yuyang Zhao,
Zhun Zhong,
Fengxiang Yang,
Zhiming Luo,
Yaojin Lin,
Shaozi Li,
Nicu Sebe
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yuyang and Zhong, Zhun and Yang, Fengxiang and Luo, Zhiming and Lin, Yaojin and Li, Shaozi and Sebe, Nicu}, title = {Learning to Generalize Unseen Domains via Memory-based Multi-Source Meta-Learning for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6277-6286} }

Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking
Chanho Kim,
Li Fuxin,
Mazen Alotaibi,
James M. Rehg
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Kim_2021_CVPR, author = {Kim, Chanho and Fuxin, Li and Alotaibi, Mazen and Rehg, James M.}, title = {Discriminative Appearance Modeling With Multi-Track Pooling for Real-Time Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9553-9562} }

LASR: Learning Articulated Shape Reconstruction From a Monocular Video
Gengshan Yang,
Deqing Sun,
Varun Jampani,
Daniel Vlasic,
Forrester Cole,
Huiwen Chang,
Deva Ramanan,
William T. Freeman,
Ce Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Gengshan and Sun, Deqing and Jampani, Varun and Vlasic, Daniel and Cole, Forrester and Chang, Huiwen and Ramanan, Deva and Freeman, William T. and Liu, Ce}, title = {LASR: Learning Articulated Shape Reconstruction From a Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15980-15989} }

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} }

Confluent Vessel Trees With Accurate Bifurcations
Zhongwen Zhang,
Dmitrii Marin,
Maria Drangova,
Yuri Boykov
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zhongwen and Marin, Dmitrii and Drangova, Maria and Boykov, Yuri}, title = {Confluent Vessel Trees With Accurate Bifurcations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9573-9582} }

Intentonomy: A Dataset and Study Towards Human Intent Understanding
Menglin Jia,
Zuxuan Wu,
Austin Reiter,
Claire Cardie,
Serge Belongie,
Ser-Nam Lim
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jia_2021_CVPR, author = {Jia, Menglin and Wu, Zuxuan and Reiter, Austin and Cardie, Claire and Belongie, Serge and Lim, Ser-Nam}, title = {Intentonomy: A Dataset and Study Towards Human Intent Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12986-12996} }

End-to-End Rotation Averaging With Multi-Source Propagation
Luwei Yang,
Heng Li,
Jamal Ahmed Rahim,
Zhaopeng Cui,
Ping Tan
[pdf] [supp]
[bibtex]
@InProceedings{Yang_2021_CVPR, author = {Yang, Luwei and Li, Heng and Rahim, Jamal Ahmed and Cui, Zhaopeng and Tan, Ping}, title = {End-to-End Rotation Averaging With Multi-Source Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11774-11783} }

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} }

Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding
Daizong Liu,
Xiaoye Qu,
Jianfeng Dong,
Pan Zhou,
Yu Cheng,
Wei Wei,
Zichuan Xu,
Yulai Xie
[pdf] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Daizong and Qu, Xiaoye and Dong, Jianfeng and Zhou, Pan and Cheng, Yu and Wei, Wei and Xu, Zichuan and Xie, Yulai}, title = {Context-Aware Biaffine Localizing Network for Temporal Sentence Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11235-11244} }

NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces
Miguel Jaques,
Michael Burke,
Timothy M. Hospedales
[pdf] [arXiv]
[bibtex]
@InProceedings{Jaques_2021_CVPR, author = {Jaques, Miguel and Burke, Michael and Hospedales, Timothy M.}, title = {NewtonianVAE: Proportional Control and Goal Identification From Pixels via Physical Latent Spaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4454-4463} }

Auto-Exposure Fusion for Single-Image Shadow Removal
Lan Fu,
Changqing Zhou,
Qing Guo,
Felix Juefei-Xu,
Hongkai Yu,
Wei Feng,
Yang Liu,
Song Wang
[pdf] [arXiv]
[bibtex]
@InProceedings{Fu_2021_CVPR, author = {Fu, Lan and Zhou, Changqing and Guo, Qing and Juefei-Xu, Felix and Yu, Hongkai and Feng, Wei and Liu, Yang and Wang, Song}, title = {Auto-Exposure Fusion for Single-Image Shadow Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10571-10580} }

Anticipating Human Actions by Correlating Past With the Future With Jaccard Similarity Measures
Basura Fernando,
Samitha Herath
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Fernando_2021_CVPR, author = {Fernando, Basura and Herath, Samitha}, title = {Anticipating Human Actions by Correlating Past With the Future With Jaccard Similarity Measures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13224-13233} }

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} }

Simpler Certified Radius Maximization by Propagating Covariances
Xingjian Zhen,
Rudrasis Chakraborty,
Vikas Singh
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhen_2021_CVPR, author = {Zhen, Xingjian and Chakraborty, Rudrasis and Singh, Vikas}, title = {Simpler Certified Radius Maximization by Propagating Covariances}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7292-7301} }

A 3D GAN for Improved Large-Pose Facial Recognition
Richard T. Marriott,
Sami Romdhani,
Liming Chen
[pdf] [arXiv]
[bibtex]
@InProceedings{Marriott_2021_CVPR, author = {Marriott, Richard T. and Romdhani, Sami and Chen, Liming}, title = {A 3D GAN for Improved Large-Pose Facial Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13445-13455} }

Repopulating Street Scenes
Yifan Wang,
Andrew Liu,
Richard Tucker,
Jiajun Wu,
Brian L. Curless,
Steven M. Seitz,
Noah Snavely
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Wang_2021_CVPR, author = {Wang, Yifan and Liu, Andrew and Tucker, Richard and Wu, Jiajun and Curless, Brian L. and Seitz, Steven M. and Snavely, Noah}, title = {Repopulating Street Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5110-5119} }

ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring
Dongxu Li,
Chenchen Xu,
Kaihao Zhang,
Xin Yu,
Yiran Zhong,
Wenqi Ren,
Hanna Suominen,
Hongdong Li
[pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Dongxu and Xu, Chenchen and Zhang, Kaihao and Yu, Xin and Zhong, Yiran and Ren, Wenqi and Suominen, Hanna and Li, Hongdong}, title = {ARVo: Learning All-Range Volumetric Correspondence for Video Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7721-7731} }

Unsupervised Object Detection With LIDAR Clues
Hao Tian,
Yuntao Chen,
Jifeng Dai,
Zhaoxiang Zhang,
Xizhou Zhu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tian_2021_CVPR, author = {Tian, Hao and Chen, Yuntao and Dai, Jifeng and Zhang, Zhaoxiang and Zhu, Xizhou}, title = {Unsupervised Object Detection With LIDAR Clues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5962-5972} }

TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking
N Dinesh Reddy,
Laurent Guigues,
Leonid Pishchulin,
Jayan Eledath,
Srinivasa G. Narasimhan
[pdf] [supp]
[bibtex]
@InProceedings{Reddy_2021_CVPR, author = {Reddy, N Dinesh and Guigues, Laurent and Pishchulin, Leonid and Eledath, Jayan and Narasimhan, Srinivasa G.}, title = {TesseTrack: End-to-End Learnable Multi-Person Articulated 3D Pose Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15190-15200} }

HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection
Jongyoun Noh,
Sanghoon Lee,
Bumsub Ham
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Noh_2021_CVPR, author = {Noh, Jongyoun and Lee, Sanghoon and Ham, Bumsub}, title = {HVPR: Hybrid Voxel-Point Representation for Single-Stage 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14605-14614} }

SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition
Yan Xia,
Yusheng Xu,
Shuang Li,
Rui Wang,
Juan Du,
Daniel Cremers,
Uwe Stilla
[pdf]
[bibtex]
@InProceedings{Xia_2021_CVPR, author = {Xia, Yan and Xu, Yusheng and Li, Shuang and Wang, Rui and Du, Juan and Cremers, Daniel and Stilla, Uwe}, title = {SOE-Net: A Self-Attention and Orientation Encoding Network for Point Cloud Based Place Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11348-11357} }

Controlling the Rain: From Removal to Rendering
Siqi Ni,
Xueyun Cao,
Tao Yue,
Xuemei Hu
[pdf] [supp]
[bibtex]
@InProceedings{Ni_2021_CVPR, author = {Ni, Siqi and Cao, Xueyun and Yue, Tao and Hu, Xuemei}, title = {Controlling the Rain: From Removal to Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6328-6337} }

KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control
Tomas Jakab,
Richard Tucker,
Ameesh Makadia,
Jiajun Wu,
Noah Snavely,
Angjoo Kanazawa
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Jakab_2021_CVPR, author = {Jakab, Tomas and Tucker, Richard and Makadia, Ameesh and Wu, Jiajun and Snavely, Noah and Kanazawa, Angjoo}, title = {KeypointDeformer: Unsupervised 3D Keypoint Discovery for Shape Control}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12783-12792} }

A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation
Miao Hu,
Yali Li,
Lu Fang,
Shengjin Wang
[pdf] [supp]
[bibtex]
@InProceedings{Hu_2021_CVPR, author = {Hu, Miao and Li, Yali and Fang, Lu and Wang, Shengjin}, title = {A2-FPN: Attention Aggregation Based Feature Pyramid Network for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15343-15352} }

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} }

Simultaneously Localize, Segment and Rank the Camouflaged Objects
Yunqiu Lv,
Jing Zhang,
Yuchao Dai,
Aixuan Li,
Bowen Liu,
Nick Barnes,
Deng-Ping Fan
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Lv_2021_CVPR, author = {Lv, Yunqiu and Zhang, Jing and Dai, Yuchao and Li, Aixuan and Liu, Bowen and Barnes, Nick and Fan, Deng-Ping}, title = {Simultaneously Localize, Segment and Rank the Camouflaged Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11591-11601} }

Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection
Tengfei Song,
Zijun Cui,
Wenming Zheng,
Qiang Ji
[pdf] [supp]
[bibtex]
@InProceedings{Song_2021_CVPR, author = {Song, Tengfei and Cui, Zijun and Zheng, Wenming and Ji, Qiang}, title = {Hybrid Message Passing With Performance-Driven Structures for Facial Action Unit Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6267-6276} }

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} }

No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry
Edward Zhang,
Ricardo Martin-Brualla,
Janne Kontkanen,
Brian L. Curless
[pdf] [supp]
[bibtex]
@InProceedings{Zhang_2021_CVPR, author = {Zhang, Edward and Martin-Brualla, Ricardo and Kontkanen, Janne and Curless, Brian L.}, title = {No Shadow Left Behind: Removing Objects and Their Shadows Using Approximate Lighting and Geometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16397-16406} }

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} }

DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion
Arda Duzceker,
Silvano Galliani,
Christoph Vogel,
Pablo Speciale,
Mihai Dusmanu,
Marc Pollefeys
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Duzceker_2021_CVPR, author = {Duzceker, Arda and Galliani, Silvano and Vogel, Christoph and Speciale, Pablo and Dusmanu, Mihai and Pollefeys, Marc}, title = {DeepVideoMVS: Multi-View Stereo on Video With Recurrent Spatio-Temporal Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15324-15333} }

Saliency-Guided Image Translation
Lai Jiang,
Mai Xu,
Xiaofei Wang,
Leonid Sigal
[pdf] [supp]
[bibtex]
@InProceedings{Jiang_2021_CVPR, author = {Jiang, Lai and Xu, Mai and Wang, Xiaofei and Sigal, Leonid}, title = {Saliency-Guided Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16509-16518} }

Weakly Supervised Learning of Rigid 3D Scene Flow
Zan Gojcic,
Or Litany,
Andreas Wieser,
Leonidas J. Guibas,
Tolga Birdal
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Gojcic_2021_CVPR, author = {Gojcic, Zan and Litany, Or and Wieser, Andreas and Guibas, Leonidas J. and Birdal, Tolga}, title = {Weakly Supervised Learning of Rigid 3D Scene Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5692-5703} }

InverseForm: A Loss Function for Structured Boundary-Aware Segmentation
Shubhankar Borse,
Ying Wang,
Yizhe Zhang,
Fatih Porikli
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Borse_2021_CVPR, author = {Borse, Shubhankar and Wang, Ying and Zhang, Yizhe and Porikli, Fatih}, title = {InverseForm: A Loss Function for Structured Boundary-Aware Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5901-5911} }

Towards Accurate Text-Based Image Captioning With Content Diversity Exploration
Guanghui Xu,
Shuaicheng Niu,
Mingkui Tan,
Yucheng Luo,
Qing Du,
Qi Wu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Xu_2021_CVPR, author = {Xu, Guanghui and Niu, Shuaicheng and Tan, Mingkui and Luo, Yucheng and Du, Qing and Wu, Qi}, title = {Towards Accurate Text-Based Image Captioning With Content Diversity Exploration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12637-12646} }

Learning Placeholders for Open-Set Recognition
Da-Wei Zhou,
Han-Jia Ye,
De-Chuan Zhan
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Zhou_2021_CVPR, author = {Zhou, Da-Wei and Ye, Han-Jia and Zhan, De-Chuan}, title = {Learning Placeholders for Open-Set Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4401-4410} }

CodedStereo: Learned Phase Masks for Large Depth-of-Field Stereo
Shiyu Tan,
Yicheng Wu,
Shoou-I Yu,
Ashok Veeraraghavan
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Tan_2021_CVPR, author = {Tan, Shiyu and Wu, Yicheng and Yu, Shoou-I and Veeraraghavan, Ashok}, title = {CodedStereo: Learned Phase Masks for Large Depth-of-Field Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7170-7179} }

More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval
Ayan Kumar Bhunia,
Pinaki Nath Chowdhury,
Aneeshan Sain,
Yongxin Yang,
Tao Xiang,
Yi-Zhe Song
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Bhunia_2021_CVPR, author = {Bhunia, Ayan Kumar and Chowdhury, Pinaki Nath and Sain, Aneeshan and Yang, Yongxin and Xiang, Tao and Song, Yi-Zhe}, title = {More Photos Are All You Need: Semi-Supervised Learning for Fine-Grained Sketch Based Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4247-4256} }

Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders
Jiwoong Park,
Junho Cho,
Hyung Jin Chang,
Jin Young Choi
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Park_2021_CVPR, author = {Park, Jiwoong and Cho, Junho and Chang, Hyung Jin and Choi, Jin Young}, title = {Unsupervised Hyperbolic Representation Learning via Message Passing Auto-Encoders}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5516-5526} }

Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement
Risheng Liu,
Long Ma,
Jiaao Zhang,
Xin Fan,
Zhongxuan Luo
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Liu_2021_CVPR, author = {Liu, Risheng and Ma, Long and Zhang, Jiaao and Fan, Xin and Luo, Zhongxuan}, title = {Retinex-Inspired Unrolling With Cooperative Prior Architecture Search for Low-Light Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10561-10570} }

Relevance-CAM: Your Model Already Knows Where To Look
Jeong Ryong Lee,
Sewon Kim,
Inyong Park,
Taejoon Eo,
Dosik Hwang
[pdf] [supp]
[bibtex]
@InProceedings{Lee_2021_CVPR, author = {Lee, Jeong Ryong and Kim, Sewon and Park, Inyong and Eo, Taejoon and Hwang, Dosik}, title = {Relevance-CAM: Your Model Already Knows Where To Look}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14944-14953} }

Boundary IoU: Improving Object-Centric Image Segmentation Evaluation
Bowen Cheng,
Ross Girshick,
Piotr Dollar,
Alexander C. Berg,
Alexander Kirillov
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Cheng_2021_CVPR, author = {Cheng, Bowen and Girshick, Ross and Dollar, Piotr and Berg, Alexander C. and Kirillov, Alexander}, title = {Boundary IoU: Improving Object-Centric Image Segmentation Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15334-15342} }

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} }

On Robustness and Transferability of Convolutional Neural Networks
Josip Djolonga,
Jessica Yung,
Michael Tschannen,
Rob Romijnders,
Lucas Beyer,
Alexander Kolesnikov,
Joan Puigcerver,
Matthias Minderer,
Alexander D'Amour,
Dan Moldovan,
Sylvain Gelly,
Neil Houlsby,
Xiaohua Zhai,
Mario Lucic
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Djolonga_2021_CVPR, author = {Djolonga, Josip and Yung, Jessica and Tschannen, Michael and Romijnders, Rob and Beyer, Lucas and Kolesnikov, Alexander and Puigcerver, Joan and Minderer, Matthias and D'Amour, Alexander and Moldovan, Dan and Gelly, Sylvain and Houlsby, Neil and Zhai, Xiaohua and Lucic, Mario}, title = {On Robustness and Transferability of Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16458-16468} }

POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture
Zhe Li,
Tao Yu,
Zerong Zheng,
Kaiwen Guo,
Yebin Liu
[pdf] [supp] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Zhe and Yu, Tao and Zheng, Zerong and Guo, Kaiwen and Liu, Yebin}, title = {POSEFusion: Pose-Guided Selective Fusion for Single-View Human Volumetric Capture}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14162-14172} }

Exploring Adversarial Fake Images on Face Manifold
Dongze Li,
Wei Wang,
Hongxing Fan,
Jing Dong
[pdf] [arXiv]
[bibtex]
@InProceedings{Li_2021_CVPR, author = {Li, Dongze and Wang, Wei and Fan, Hongxing and Dong, Jing}, title = {Exploring Adversarial Fake Images on Face Manifold}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5789-5798} }<