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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} }

Reinforced Attention for Few-Shot Learning and Beyond

Jie Hong,

Pengfei Fang,

Weihao Li,

Tong Zhang,

Christian Simon,

Mehrtash Harandi,

Lars Petersson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Jie and Fang, Pengfei and Li, Weihao and Zhang, Tong and Simon, Christian and Harandi, Mehrtash and Petersson, Lars}, title = {Reinforced Attention for Few-Shot Learning and Beyond}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {913-923} }

HOTR: End-to-End Human-Object Interaction Detection With Transformers

Bumsoo Kim,

Junhyun Lee,

Jaewoo Kang,

Eun-Sol Kim,

Hyunwoo J. Kim

[pdf] [supp] [arXiv]

[bibtex]

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

Deep Video Matting via Spatio-Temporal Alignment and Aggregation

Yanan Sun,

Guanzhi Wang,

Qiao Gu,

Chi-Keung Tang,

Yu-Wing Tai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Yanan and Wang, Guanzhi and Gu, Qiao and Tang, Chi-Keung and Tai, Yu-Wing}, title = {Deep Video Matting via Spatio-Temporal Alignment and Aggregation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6975-6984} }

Triple-Cooperative Video Shadow Detection

Zhihao Chen,

Liang Wan,

Lei Zhu,

Jia Shen,

Huazhu Fu,

Wennan Liu,

Jing Qin

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zhihao and Wan, Liang and Zhu, Lei and Shen, Jia and Fu, Huazhu and Liu, Wennan and Qin, Jing}, title = {Triple-Cooperative Video Shadow Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2715-2724} }

Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation

Guo-Sen Xie,

Jie Liu,

Huan Xiong,

Ling Shao

[pdf]

[bibtex]

@InProceedings{Xie_2021_CVPR, author = {Xie, Guo-Sen and Liu, Jie and Xiong, Huan and Shao, Ling}, title = {Scale-Aware Graph Neural Network for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5475-5484} }

Continuous Face Aging via Self-Estimated Residual Age Embedding

Zeqi Li,

Ruowei Jiang,

Parham Aarabi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Zeqi and Jiang, Ruowei and Aarabi, Parham}, title = {Continuous Face Aging via Self-Estimated Residual Age Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15008-15017} }

Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline

Lingzhi He,

Hongguang Zhu,

Feng Li,

Huihui Bai,

Runmin Cong,

Chunjie Zhang,

Chunyu Lin,

Meiqin Liu,

Yao Zhao

[pdf] [supp]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Lingzhi and Zhu, Hongguang and Li, Feng and Bai, Huihui and Cong, Runmin and Zhang, Chunjie and Lin, Chunyu and Liu, Meiqin and Zhao, Yao}, title = {Towards Fast and Accurate Real-World Depth Super-Resolution: Benchmark Dataset and Baseline}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9229-9238} }

Jigsaw Clustering for Unsupervised Visual Representation Learning

Pengguang Chen,

Shu Liu,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Pengguang and Liu, Shu and Jia, Jiaya}, title = {Jigsaw Clustering for Unsupervised Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11526-11535} }

DI-Fusion: Online Implicit 3D Reconstruction With Deep Priors

Jiahui Huang,

Shi-Sheng Huang,

Haoxuan Song,

Shi-Min Hu

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Jiahui and Huang, Shi-Sheng and Song, Haoxuan and Hu, Shi-Min}, title = {DI-Fusion: Online Implicit 3D Reconstruction With Deep Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8932-8941} }

Square Root Bundle Adjustment for Large-Scale Reconstruction

Nikolaus Demmel,

Christiane Sommer,

Daniel Cremers,

Vladyslav Usenko

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Demmel_2021_CVPR, author = {Demmel, Nikolaus and Sommer, Christiane and Cremers, Daniel and Usenko, Vladyslav}, title = {Square Root Bundle Adjustment for Large-Scale Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11723-11732} }

PatchMatch-Based Neighborhood Consensus for Semantic Correspondence

Jae Yong Lee,

Joseph DeGol,

Victor Fragoso,

Sudipta N. Sinha

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Jae Yong and DeGol, Joseph and Fragoso, Victor and Sinha, Sudipta N.}, title = {PatchMatch-Based Neighborhood Consensus for Semantic Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13153-13163} }

Representative Forgery Mining for Fake Face Detection

Chengrui Wang,

Weihong Deng

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Chengrui and Deng, Weihong}, title = {Representative Forgery Mining for Fake Face Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14923-14932} }

Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation

Chufeng Tang,

Hang Chen,

Xiao Li,

Jianmin Li,

Zhaoxiang Zhang,

Xiaolin Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Chufeng and Chen, Hang and Li, Xiao and Li, Jianmin and Zhang, Zhaoxiang and Hu, Xiaolin}, title = {Look Closer To Segment Better: Boundary Patch Refinement for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13926-13935} }

Adaptive Class Suppression Loss for Long-Tail Object Detection

Tong Wang,

Yousong Zhu,

Chaoyang Zhao,

Wei Zeng,

Jinqiao Wang,

Ming Tang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Tong and Zhu, Yousong and Zhao, Chaoyang and Zeng, Wei and Wang, Jinqiao and Tang, Ming}, title = {Adaptive Class Suppression Loss for Long-Tail Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3103-3112} }

ChallenCap: Monocular 3D Capture of Challenging Human Performances Using Multi-Modal References

Yannan He,

Anqi Pang,

Xin Chen,

Han Liang,

Minye Wu,

Yuexin Ma,

Lan Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Yannan and Pang, Anqi and Chen, Xin and Liang, Han and Wu, Minye and Ma, Yuexin and Xu, Lan}, title = {ChallenCap: Monocular 3D Capture of Challenging Human Performances Using Multi-Modal References}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11400-11411} }

Automated Log-Scale Quantization for Low-Cost Deep Neural Networks

Sangyun Oh,

Hyeonuk Sim,

Sugil Lee,

Jongeun Lee

[pdf] [supp]

[bibtex]

@InProceedings{Oh_2021_CVPR, author = {Oh, Sangyun and Sim, Hyeonuk and Lee, Sugil and Lee, Jongeun}, title = {Automated Log-Scale Quantization for Low-Cost Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {742-751} }

Hallucination Improves Few-Shot Object Detection

Weilin Zhang,

Yu-Xiong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Weilin and Wang, Yu-Xiong}, title = {Hallucination Improves Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13008-13017} }

Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes

Mohamad Shahbazi,

Zhiwu Huang,

Danda Pani Paudel,

Ajad Chhatkuli,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shahbazi_2021_CVPR, author = {Shahbazi, Mohamad and Huang, Zhiwu and Paudel, Danda Pani and Chhatkuli, Ajad and Van Gool, Luc}, title = {Efficient Conditional GAN Transfer With Knowledge Propagation Across Classes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12167-12176} }

Fully Convolutional Scene Graph Generation

Hengyue Liu,

Ning Yan,

Masood Mortazavi,

Bir Bhanu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Hengyue and Yan, Ning and Mortazavi, Masood and Bhanu, Bir}, title = {Fully Convolutional Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11546-11556} }

Crossing Cuts Polygonal Puzzles: Models and Solvers

Peleg Harel,

Ohad Ben-Shahar

[pdf] [supp]

[bibtex]

@InProceedings{Harel_2021_CVPR, author = {Harel, Peleg and Ben-Shahar, Ohad}, title = {Crossing Cuts Polygonal Puzzles: Models and Solvers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3084-3093} }

Graph-Based High-Order Relation Modeling for Long-Term Action Recognition

Jiaming Zhou,

Kun-Yu Lin,

Haoxin Li,

Wei-Shi Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Jiaming and Lin, Kun-Yu and Li, Haoxin and Zheng, Wei-Shi}, title = {Graph-Based High-Order Relation Modeling for Long-Term Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8984-8993} }

Positive-Unlabeled Data Purification in the Wild for Object Detection

Jianyuan Guo,

Kai Han,

Han Wu,

Chao Zhang,

Xinghao Chen,

Chunjing Xu,

Chang Xu,

Yunhe Wang

[pdf]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Jianyuan and Han, Kai and Wu, Han and Zhang, Chao and Chen, Xinghao and Xu, Chunjing and Xu, Chang and Wang, Yunhe}, title = {Positive-Unlabeled Data Purification in the Wild for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2653-2662} }

ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows

Jie An,

Siyu Huang,

Yibing Song,

Dejing Dou,

Wei Liu,

Jiebo Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{An_2021_CVPR, author = {An, Jie and Huang, Siyu and Song, Yibing and Dou, Dejing and Liu, Wei and Luo, Jiebo}, title = {ArtFlow: Unbiased Image Style Transfer via Reversible Neural Flows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {862-871} }

Network Quantization With Element-Wise Gradient Scaling

Junghyup Lee,

Dohyung Kim,

Bumsub Ham

[pdf] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Junghyup and Kim, Dohyung and Ham, Bumsub}, title = {Network Quantization With Element-Wise Gradient Scaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6448-6457} }

img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation

Vitor Albiero,

Xingyu Chen,

Xi Yin,

Guan Pang,

Tal Hassner

[pdf] [arXiv]

[bibtex]

@InProceedings{Albiero_2021_CVPR, author = {Albiero, Vitor and Chen, Xingyu and Yin, Xi and Pang, Guan and Hassner, Tal}, title = {img2pose: Face Alignment and Detection via 6DoF, Face Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7617-7627} }

Sparse Multi-Path Corrections in Fringe Projection Profilometry

Yu Zhang,

Daniel Lau,

David Wipf

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yu and Lau, Daniel and Wipf, David}, title = {Sparse Multi-Path Corrections in Fringe Projection Profilometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13344-13353} }

NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go

Marvin Eisenberger,

David Novotny,

Gael Kerchenbaum,

Patrick Labatut,

Natalia Neverova,

Daniel Cremers,

Andrea Vedaldi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Eisenberger_2021_CVPR, author = {Eisenberger, Marvin and Novotny, David and Kerchenbaum, Gael and Labatut, Patrick and Neverova, Natalia and Cremers, Daniel and Vedaldi, Andrea}, title = {NeuroMorph: Unsupervised Shape Interpolation and Correspondence in One Go}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7473-7483} }

Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder

Tal Daniel,

Aviv Tamar

[pdf] [supp]

[bibtex]

@InProceedings{Daniel_2021_CVPR, author = {Daniel, Tal and Tamar, Aviv}, title = {Soft-IntroVAE: Analyzing and Improving the Introspective Variational Autoencoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4391-4400} }

Energy-Based Learning for Scene Graph Generation

Mohammed Suhail,

Abhay Mittal,

Behjat Siddiquie,

Chris Broaddus,

Jayan Eledath,

Gerard Medioni,

Leonid Sigal

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Suhail_2021_CVPR, author = {Suhail, Mohammed and Mittal, Abhay and Siddiquie, Behjat and Broaddus, Chris and Eledath, Jayan and Medioni, Gerard and Sigal, Leonid}, title = {Energy-Based Learning for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13936-13945} }

Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts

Steve Cruz,

Will Hutchcroft,

Yuguang Li,

Naji Khosravan,

Ivaylo Boyadzhiev,

Sing Bing Kang

[pdf] [supp]

[bibtex]

@InProceedings{Cruz_2021_CVPR, author = {Cruz, Steve and Hutchcroft, Will and Li, Yuguang and Khosravan, Naji and Boyadzhiev, Ivaylo and Kang, Sing Bing}, title = {Zillow Indoor Dataset: Annotated Floor Plans With 360deg Panoramas and 3D Room Layouts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2133-2143} }

Progressive Contour Regression for Arbitrary-Shape Scene Text Detection

Pengwen Dai,

Sanyi Zhang,

Hua Zhang,

Xiaochun Cao

[pdf] [supp]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Pengwen and Zhang, Sanyi and Zhang, Hua and Cao, Xiaochun}, title = {Progressive Contour Regression for Arbitrary-Shape Scene Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7393-7402} }

UV-Net: Learning From Boundary Representations

Pradeep Kumar Jayaraman,

Aditya Sanghi,

Joseph G. Lambourne,

Karl D.D. Willis,

Thomas Davies,

Hooman Shayani,

Nigel Morris

[pdf] [supp]

[bibtex]

@InProceedings{Jayaraman_2021_CVPR, author = {Jayaraman, Pradeep Kumar and Sanghi, Aditya and Lambourne, Joseph G. and Willis, Karl D.D. and Davies, Thomas and Shayani, Hooman and Morris, Nigel}, title = {UV-Net: Learning From Boundary Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11703-11712} }

MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation

Sanjay Kariyappa,

Atul Prakash,

Moinuddin K Qureshi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kariyappa_2021_CVPR, author = {Kariyappa, Sanjay and Prakash, Atul and Qureshi, Moinuddin K}, title = {MAZE: Data-Free Model Stealing Attack Using Zeroth-Order Gradient Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13814-13823} }

Universal Spectral Adversarial Attacks for Deformable Shapes

Arianna Rampini,

Franco Pestarini,

Luca Cosmo,

Simone Melzi,

Emanuele Rodola

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rampini_2021_CVPR, author = {Rampini, Arianna and Pestarini, Franco and Cosmo, Luca and Melzi, Simone and Rodola, Emanuele}, title = {Universal Spectral Adversarial Attacks for Deformable Shapes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3216-3226} }

Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation

Xiangyu Yue,

Zangwei Zheng,

Shanghang Zhang,

Yang Gao,

Trevor Darrell,

Kurt Keutzer,

Alberto Sangiovanni Vincentelli

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yue_2021_CVPR, author = {Yue, Xiangyu and Zheng, Zangwei and Zhang, Shanghang and Gao, Yang and Darrell, Trevor and Keutzer, Kurt and Vincentelli, Alberto Sangiovanni}, title = {Prototypical Cross-Domain Self-Supervised Learning for Few-Shot Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13834-13844} }

HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation

Jiefeng Li,

Chao Xu,

Zhicun Chen,

Siyuan Bian,

Lixin Yang,

Cewu Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Jiefeng and Xu, Chao and Chen, Zhicun and Bian, Siyuan and Yang, Lixin and Lu, Cewu}, title = {HybrIK: A Hybrid Analytical-Neural Inverse Kinematics Solution for 3D Human Pose and Shape Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3383-3393} }

Human De-Occlusion: Invisible Perception and Recovery for Humans

Qiang Zhou,

Shiyin Wang,

Yitong Wang,

Zilong Huang,

Xinggang Wang

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Qiang and Wang, Shiyin and Wang, Yitong and Huang, Zilong and Wang, Xinggang}, title = {Human De-Occlusion: Invisible Perception and Recovery for Humans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3691-3701} }

The Neural Tangent Link Between CNN Denoisers and Non-Local Filters

Julian Tachella,

Junqi Tang,

Mike Davies

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tachella_2021_CVPR, author = {Tachella, Julian and Tang, Junqi and Davies, Mike}, title = {The Neural Tangent Link Between CNN Denoisers and Non-Local Filters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8618-8627} }

Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization

Mathieu Serrurier,

Franck Mamalet,

Alberto Gonzalez-Sanz,

Thibaut Boissin,

Jean-Michel Loubes,

Eustasio del Barrio

[pdf] [supp]

[bibtex]

@InProceedings{Serrurier_2021_CVPR, author = {Serrurier, Mathieu and Mamalet, Franck and Gonzalez-Sanz, Alberto and Boissin, Thibaut and Loubes, Jean-Michel and del Barrio, Eustasio}, title = {Achieving Robustness in Classification Using Optimal Transport With Hinge Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {505-514} }

Stochastic Image-to-Video Synthesis Using cINNs

Michael Dorkenwald,

Timo Milbich,

Andreas Blattmann,

Robin Rombach,

Konstantinos G. Derpanis,

Bjorn Ommer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dorkenwald_2021_CVPR, author = {Dorkenwald, Michael and Milbich, Timo and Blattmann, Andreas and Rombach, Robin and Derpanis, Konstantinos G. and Ommer, Bjorn}, title = {Stochastic Image-to-Video Synthesis Using cINNs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3742-3753} }

Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos

Yanghao Li,

Tushar Nagarajan,

Bo Xiong,

Kristen Grauman

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Yanghao and Nagarajan, Tushar and Xiong, Bo and Grauman, Kristen}, title = {Ego-Exo: Transferring Visual Representations From Third-Person to First-Person Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6943-6953} }

Dynamic Slimmable Network

Changlin Li,

Guangrun Wang,

Bing Wang,

Xiaodan Liang,

Zhihui Li,

Xiaojun Chang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Changlin and Wang, Guangrun and Wang, Bing and Liang, Xiaodan and Li, Zhihui and Chang, Xiaojun}, title = {Dynamic Slimmable Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8607-8617} }

Jo-SRC: A Contrastive Approach for Combating Noisy Labels

Yazhou Yao,

Zeren Sun,

Chuanyi Zhang,

Fumin Shen,

Qi Wu,

Jian Zhang,

Zhenmin Tang

[pdf]

[bibtex]

@InProceedings{Yao_2021_CVPR, author = {Yao, Yazhou and Sun, Zeren and Zhang, Chuanyi and Shen, Fumin and Wu, Qi and Zhang, Jian and Tang, Zhenmin}, title = {Jo-SRC: A Contrastive Approach for Combating Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5192-5201} }

Deep Lucas-Kanade Homography for Multimodal Image Alignment

Yiming Zhao,

Xinming Huang,

Ziming Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yiming and Huang, Xinming and Zhang, Ziming}, title = {Deep Lucas-Kanade Homography for Multimodal Image Alignment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15950-15959} }

clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation

Suprosanna Shit,

Johannes C. Paetzold,

Anjany Sekuboyina,

Ivan Ezhov,

Alexander Unger,

Andrey Zhylka,

Josien P. W. Pluim,

Ulrich Bauer,

Bjoern H. Menze

[pdf] [supp]

[bibtex]

@InProceedings{Shit_2021_CVPR, author = {Shit, Suprosanna and Paetzold, Johannes C. and Sekuboyina, Anjany and Ezhov, Ivan and Unger, Alexander and Zhylka, Andrey and Pluim, Josien P. W. and Bauer, Ulrich and Menze, Bjoern H.}, title = {clDice - A Novel Topology-Preserving Loss Function for Tubular Structure Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16560-16569} }

Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation

Mengyao Zhai,

Lei Chen,

Greg Mori

[pdf]

[bibtex]

@InProceedings{Zhai_2021_CVPR, author = {Zhai, Mengyao and Chen, Lei and Mori, Greg}, title = {Hyper-LifelongGAN: Scalable Lifelong Learning for Image Conditioned Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2246-2255} }

Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans

Bindita Chaudhuri,

Nikolaos Sarafianos,

Linda Shapiro,

Tony Tung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chaudhuri_2021_CVPR, author = {Chaudhuri, Bindita and Sarafianos, Nikolaos and Shapiro, Linda and Tung, Tony}, title = {Semi-Supervised Synthesis of High-Resolution Editable Textures for 3D Humans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7991-8000} }

CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback

Seungmin Lee,

Dongwan Kim,

Bohyung Han

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Seungmin and Kim, Dongwan and Han, Bohyung}, title = {CoSMo: Content-Style Modulation for Image Retrieval With Text Feedback}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {802-812} }

Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers

Antoine Miech,

Jean-Baptiste Alayrac,

Ivan Laptev,

Josef Sivic,

Andrew Zisserman

[pdf] [arXiv]

[bibtex]

@InProceedings{Miech_2021_CVPR, author = {Miech, Antoine and Alayrac, Jean-Baptiste and Laptev, Ivan and Sivic, Josef and Zisserman, Andrew}, title = {Thinking Fast and Slow: Efficient Text-to-Visual Retrieval With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9826-9836} }

RGB-D Local Implicit Function for Depth Completion of Transparent Objects

Luyang Zhu,

Arsalan Mousavian,

Yu Xiang,

Hammad Mazhar,

Jozef van Eenbergen,

Shoubhik Debnath,

Dieter Fox

[pdf] [supp]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Luyang and Mousavian, Arsalan and Xiang, Yu and Mazhar, Hammad and van Eenbergen, Jozef and Debnath, Shoubhik and Fox, Dieter}, title = {RGB-D Local Implicit Function for Depth Completion of Transparent Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4649-4658} }

Fingerspelling Detection in American Sign Language

Bowen Shi,

Diane Brentari,

Greg Shakhnarovich,

Karen Livescu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Bowen and Brentari, Diane and Shakhnarovich, Greg and Livescu, Karen}, title = {Fingerspelling Detection in American Sign Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4166-4175} }

Uncertainty Reduction for Model Adaptation in Semantic Segmentation

Prabhu Teja S,

Francois Fleuret

[pdf] [supp]

[bibtex]

@InProceedings{S_2021_CVPR, author = {S, Prabhu Teja and Fleuret, Francois}, title = {Uncertainty Reduction for Model Adaptation in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9613-9623} }

Learning Triadic Belief Dynamics in Nonverbal Communication From Videos

Lifeng Fan,

Shuwen Qiu,

Zilong Zheng,

Tao Gao,

Song-Chun Zhu,

Yixin Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2021_CVPR, author = {Fan, Lifeng and Qiu, Shuwen and Zheng, Zilong and Gao, Tao and Zhu, Song-Chun and Zhu, Yixin}, title = {Learning Triadic Belief Dynamics in Nonverbal Communication From Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7312-7321} }

Temporal Modulation Network for Controllable Space-Time Video Super-Resolution

Gang Xu,

Jun Xu,

Zhen Li,

Liang Wang,

Xing Sun,

Ming-Ming Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Gang and Xu, Jun and Li, Zhen and Wang, Liang and Sun, Xing and Cheng, Ming-Ming}, title = {Temporal Modulation Network for Controllable Space-Time Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6388-6397} }

Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model

Aupendu Kar,

Sobhan Kanti Dhara,

Debashis Sen,

Prabir Kumar Biswas

[pdf] [supp]

[bibtex]

@InProceedings{Kar_2021_CVPR, author = {Kar, Aupendu and Dhara, Sobhan Kanti and Sen, Debashis and Biswas, Prabir Kumar}, title = {Zero-Shot Single Image Restoration Through Controlled Perturbation of Koschmieder's Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16205-16215} }

Uncertainty-Aware Camera Pose Estimation From Points and Lines

Alexander Vakhitov,

Luis Ferraz,

Antonio Agudo,

Francesc Moreno-Noguer

[pdf] [supp]

[bibtex]

@InProceedings{Vakhitov_2021_CVPR, author = {Vakhitov, Alexander and Ferraz, Luis and Agudo, Antonio and Moreno-Noguer, Francesc}, title = {Uncertainty-Aware Camera Pose Estimation From Points and Lines}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4659-4668} }

Temporal Context Aggregation Network for Temporal Action Proposal Refinement

Zhiwu Qing,

Haisheng Su,

Weihao Gan,

Dongliang Wang,

Wei Wu,

Xiang Wang,

Yu Qiao,

Junjie Yan,

Changxin Gao,

Nong Sang

[pdf] [arXiv]

[bibtex]

@InProceedings{Qing_2021_CVPR, author = {Qing, Zhiwu and Su, Haisheng and Gan, Weihao and Wang, Dongliang and Wu, Wei and Wang, Xiang and Qiao, Yu and Yan, Junjie and Gao, Changxin and Sang, Nong}, title = {Temporal Context Aggregation Network for Temporal Action Proposal Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {485-494} }

Information-Theoretic Segmentation by Inpainting Error Maximization

Pedro Savarese,

Sunnie S. Y. Kim,

Michael Maire,

Greg Shakhnarovich,

David McAllester

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Savarese_2021_CVPR, author = {Savarese, Pedro and Kim, Sunnie S. Y. and Maire, Michael and Shakhnarovich, Greg and McAllester, David}, title = {Information-Theoretic Segmentation by Inpainting Error Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4029-4039} }

Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

Gen Li,

Varun Jampani,

Laura Sevilla-Lara,

Deqing Sun,

Jonghyun Kim,

Joongkyu Kim

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Gen and Jampani, Varun and Sevilla-Lara, Laura and Sun, Deqing and Kim, Jonghyun and Kim, Joongkyu}, title = {Adaptive Prototype Learning and Allocation for Few-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8334-8343} }

RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features

Gang Zhang,

Xin Lu,

Jingru Tan,

Jianmin Li,

Zhaoxiang Zhang,

Quanquan Li,

Xiaolin Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Gang and Lu, Xin and Tan, Jingru and Li, Jianmin and Zhang, Zhaoxiang and Li, Quanquan and Hu, Xiaolin}, title = {RefineMask: Towards High-Quality Instance Segmentation With Fine-Grained Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6861-6869} }

DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation

Xiong Zhang,

Hongmin Xu,

Hong Mo,

Jianchao Tan,

Cheng Yang,

Lei Wang,

Wenqi Ren

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiong and Xu, Hongmin and Mo, Hong and Tan, Jianchao and Yang, Cheng and Wang, Lei and Ren, Wenqi}, title = {DCNAS: Densely Connected Neural Architecture Search for Semantic Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13956-13967} }

Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation

Younghyun Jo,

Seoung Wug Oh,

Peter Vajda,

Seon Joo Kim

[pdf] [supp]

[bibtex]

@InProceedings{Jo_2021_CVPR, author = {Jo, Younghyun and Oh, Seoung Wug and Vajda, Peter and Kim, Seon Joo}, title = {Tackling the Ill-Posedness of Super-Resolution Through Adaptive Target Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16236-16245} }

DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation

Yufan He,

Dong Yang,

Holger Roth,

Can Zhao,

Daguang Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Yufan and Yang, Dong and Roth, Holger and Zhao, Can and Xu, Daguang}, title = {DiNTS: Differentiable Neural Network Topology Search for 3D Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5841-5850} }

Im2Vec: Synthesizing Vector Graphics Without Vector Supervision

Pradyumna Reddy,

Michael Gharbi,

Michal Lukac,

Niloy J. Mitra

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Reddy_2021_CVPR, author = {Reddy, Pradyumna and Gharbi, Michael and Lukac, Michal and Mitra, Niloy J.}, title = {Im2Vec: Synthesizing Vector Graphics Without Vector Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7342-7351} }

Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing

Yuanyuan Yuan,

Shuai Wang,

Mingyue Jiang,

Tsong Yueh Chen

[pdf] [supp]

[bibtex]

@InProceedings{Yuan_2021_CVPR, author = {Yuan, Yuanyuan and Wang, Shuai and Jiang, Mingyue and Chen, Tsong Yueh}, title = {Perception Matters: Detecting Perception Failures of VQA Models Using Metamorphic Testing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16908-16917} }

Unsupervised Part Segmentation Through Disentangling Appearance and Shape

Shilong Liu,

Lei Zhang,

Xiao Yang,

Hang Su,

Jun Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Shilong and Zhang, Lei and Yang, Xiao and Su, Hang and Zhu, Jun}, title = {Unsupervised Part Segmentation Through Disentangling Appearance and Shape}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8355-8364} }

Adversarial Imaging Pipelines

Buu Phan,

Fahim Mannan,

Felix Heide

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Phan_2021_CVPR, author = {Phan, Buu and Mannan, Fahim and Heide, Felix}, title = {Adversarial Imaging Pipelines}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16051-16061} }

Adaptive Consistency Regularization for Semi-Supervised Transfer Learning

Abulikemu Abuduweili,

Xingjian Li,

Humphrey Shi,

Cheng-Zhong Xu,

Dejing Dou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Abuduweili_2021_CVPR, author = {Abuduweili, Abulikemu and Li, Xingjian and Shi, Humphrey and Xu, Cheng-Zhong and Dou, Dejing}, title = {Adaptive Consistency Regularization for Semi-Supervised Transfer Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6923-6932} }

GANmut: Learning Interpretable Conditional Space for Gamut of Emotions

Stefano d'Apolito,

Danda Pani Paudel,

Zhiwu Huang,

Andres Romero,

Luc Van Gool

[pdf] [supp]

[bibtex]

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

StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation

Zongze Wu,

Dani Lischinski,

Eli Shechtman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Zongze and Lischinski, Dani and Shechtman, Eli}, title = {StyleSpace Analysis: Disentangled Controls for StyleGAN Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12863-12872} }

Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation

Zhengxiong Luo,

Zhicheng Wang,

Yan Huang,

Liang Wang,

Tieniu Tan,

Erjin Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Luo_2021_CVPR, author = {Luo, Zhengxiong and Wang, Zhicheng and Huang, Yan and Wang, Liang and Tan, Tieniu and Zhou, Erjin}, title = {Rethinking the Heatmap Regression for Bottom-Up Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13264-13273} }

From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach

Guotao Wang,

Chenglizhao Chen,

Deng-Ping Fan,

Aimin Hao,

Hong Qin

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Guotao and Chen, Chenglizhao and Fan, Deng-Ping and Hao, Aimin and Qin, Hong}, title = {From Semantic Categories to Fixations: A Novel Weakly-Supervised Visual-Auditory Saliency Detection Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15119-15128} }

High-Fidelity Face Tracking for AR/VR via Deep Lighting Adaptation

Lele Chen,

Chen Cao,

Fernando De la Torre,

Jason Saragih,

Chenliang Xu,

Yaser Sheikh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Lele and Cao, Chen and De la Torre, Fernando and Saragih, Jason and Xu, Chenliang and Sheikh, Yaser}, title = {High-Fidelity Face Tracking for AR/VR via Deep Lighting Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13059-13069} }

Mixed-Privacy Forgetting in Deep Networks

Aditya Golatkar,

Alessandro Achille,

Avinash Ravichandran,

Marzia Polito,

Stefano Soatto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Golatkar_2021_CVPR, author = {Golatkar, Aditya and Achille, Alessandro and Ravichandran, Avinash and Polito, Marzia and Soatto, Stefano}, title = {Mixed-Privacy Forgetting in Deep Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {792-801} }

TediGAN: Text-Guided Diverse Face Image Generation and Manipulation

Weihao Xia,

Yujiu Yang,

Jing-Hao Xue,

Baoyuan Wu

[pdf] [arXiv]

[bibtex]

@InProceedings{Xia_2021_CVPR, author = {Xia, Weihao and Yang, Yujiu and Xue, Jing-Hao and Wu, Baoyuan}, title = {TediGAN: Text-Guided Diverse Face Image Generation and Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2256-2265} }

Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition

Enrique Sanchez,

Mani Kumar Tellamekala,

Michel Valstar,

Georgios Tzimiropoulos

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sanchez_2021_CVPR, author = {Sanchez, Enrique and Tellamekala, Mani Kumar and Valstar, Michel and Tzimiropoulos, Georgios}, title = {Affective Processes: Stochastic Modelling of Temporal Context for Emotion and Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9074-9084} }

ID-Unet: Iterative Soft and Hard Deformation for View Synthesis

Mingyu Yin,

Li Sun,

Qingli Li

[pdf]

[bibtex]

@InProceedings{Yin_2021_CVPR, author = {Yin, Mingyu and Sun, Li and Li, Qingli}, title = {ID-Unet: Iterative Soft and Hard Deformation for View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7220-7229} }

Positional Encoding As Spatial Inductive Bias in GANs

Rui Xu,

Xintao Wang,

Kai Chen,

Bolei Zhou,

Chen Change Loy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Rui and Wang, Xintao and Chen, Kai and Zhou, Bolei and Loy, Chen Change}, title = {Positional Encoding As Spatial Inductive Bias in GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13569-13578} }

Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging

Ilya Chugunov,

Seung-Hwan Baek,

Qiang Fu,

Wolfgang Heidrich,

Felix Heide

[pdf] [supp]

[bibtex]

@InProceedings{Chugunov_2021_CVPR, author = {Chugunov, Ilya and Baek, Seung-Hwan and Fu, Qiang and Heidrich, Wolfgang and Heide, Felix}, title = {Mask-ToF: Learning Microlens Masks for Flying Pixel Correction in Time-of-Flight Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9116-9126} }

QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks

Vladimir Kryzhanovskiy,

Gleb Balitskiy,

Nikolay Kozyrskiy,

Aleksandr Zuruev

[pdf] [supp]

[bibtex]

@InProceedings{Kryzhanovskiy_2021_CVPR, author = {Kryzhanovskiy, Vladimir and Balitskiy, Gleb and Kozyrskiy, Nikolay and Zuruev, Aleksandr}, title = {QPP: Real-Time Quantization Parameter Prediction for Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10684-10692} }

Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects

Aashish Sharma,

Robby T. Tan

[pdf]

[bibtex]

@InProceedings{Sharma_2021_CVPR, author = {Sharma, Aashish and Tan, Robby T.}, title = {Nighttime Visibility Enhancement by Increasing the Dynamic Range and Suppression of Light Effects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11977-11986} }

Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation

Nikita Araslanov,

Stefan Roth

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Araslanov_2021_CVPR, author = {Araslanov, Nikita and Roth, Stefan}, title = {Self-Supervised Augmentation Consistency for Adapting Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15384-15394} }

Patch-VQ: 'Patching Up' the Video Quality Problem

Zhenqiang Ying,

Maniratnam Mandal,

Deepti Ghadiyaram,

Alan Bovik

[pdf] [supp]

[bibtex]

@InProceedings{Ying_2021_CVPR, author = {Ying, Zhenqiang and Mandal, Maniratnam and Ghadiyaram, Deepti and Bovik, Alan}, title = {Patch-VQ: 'Patching Up' the Video Quality Problem}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14019-14029} }

Double Low-Rank Representation With Projection Distance Penalty for Clustering

Zhiqiang Fu,

Yao Zhao,

Dongxia Chang,

Xingxing Zhang,

Yiming Wang

[pdf] [supp]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Zhiqiang and Zhao, Yao and Chang, Dongxia and Zhang, Xingxing and Wang, Yiming}, title = {Double Low-Rank Representation With Projection Distance Penalty for Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5320-5329} }

Towards High Fidelity Face Relighting With Realistic Shadows

Andrew Hou,

Ze Zhang,

Michel Sarkis,

Ning Bi,

Yiying Tong,

Xiaoming Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hou_2021_CVPR, author = {Hou, Andrew and Zhang, Ze and Sarkis, Michel and Bi, Ning and Tong, Yiying and Liu, Xiaoming}, title = {Towards High Fidelity Face Relighting With Realistic Shadows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14719-14728} }

Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo

Jiahao Lin,

Gim Hee Lee

[pdf] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Jiahao and Lee, Gim Hee}, title = {Multi-View Multi-Person 3D Pose Estimation With Plane Sweep Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11886-11895} }

Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty

Bingbing Zhuang,

Manmohan Chandraker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhuang_2021_CVPR, author = {Zhuang, Bingbing and Chandraker, Manmohan}, title = {Fusing the Old with the New: Learning Relative Camera Pose with Geometry-Guided Uncertainty}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {32-42} }

CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

Chen Wei,

Kihyuk Sohn,

Clayton Mellina,

Alan Yuille,

Fan Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2021_CVPR, author = {Wei, Chen and Sohn, Kihyuk and Mellina, Clayton and Yuille, Alan and Yang, Fan}, title = {CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10857-10866} }

Towards Diverse Paragraph Captioning for Untrimmed Videos

Yuqing Song,

Shizhe Chen,

Qin Jin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Song_2021_CVPR, author = {Song, Yuqing and Chen, Shizhe and Jin, Qin}, title = {Towards Diverse Paragraph Captioning for Untrimmed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11245-11254} }

FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation

Yair Kittenplon,

Yonina C. Eldar,

Dan Raviv

[pdf] [arXiv]

[bibtex]

@InProceedings{Kittenplon_2021_CVPR, author = {Kittenplon, Yair and Eldar, Yonina C. and Raviv, Dan}, title = {FlowStep3D: Model Unrolling for Self-Supervised Scene Flow Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4114-4123} }

Adversarial Robustness Across Representation Spaces

Pranjal Awasthi,

George Yu,

Chun-Sung Ferng,

Andrew Tomkins,

Da-Cheng Juan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Awasthi_2021_CVPR, author = {Awasthi, Pranjal and Yu, George and Ferng, Chun-Sung and Tomkins, Andrew and Juan, Da-Cheng}, title = {Adversarial Robustness Across Representation Spaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7608-7616} }

MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes

Zhikai Chen,

Lingxi Xie,

Shanmin Pang,

Yong He,

Bo Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zhikai and Xie, Lingxi and Pang, Shanmin and He, Yong and Zhang, Bo}, title = {MagDR: Mask-Guided Detection and Reconstruction for Defending Deepfakes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9014-9023} }

Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction

Aljaz Bozic,

Pablo Palafox,

Michael Zollhofer,

Justus Thies,

Angela Dai,

Matthias Niessner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bozic_2021_CVPR, author = {Bozic, Aljaz and Palafox, Pablo and Zollhofer, Michael and Thies, Justus and Dai, Angela and Niessner, Matthias}, title = {Neural Deformation Graphs for Globally-Consistent Non-Rigid Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1450-1459} }

Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors

Jan Bechtold,

Maxim Tatarchenko,

Volker Fischer,

Thomas Brox

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bechtold_2021_CVPR, author = {Bechtold, Jan and Tatarchenko, Maxim and Fischer, Volker and Brox, Thomas}, title = {Fostering Generalization in Single-View 3D Reconstruction by Learning a Hierarchy of Local and Global Shape Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15880-15889} }

Progressive Semantic-Aware Style Transformation for Blind Face Restoration

Chaofeng Chen,

Xiaoming Li,

Lingbo Yang,

Xianhui Lin,

Lei Zhang,

Kwan-Yee K. Wong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Chaofeng and Li, Xiaoming and Yang, Lingbo and Lin, Xianhui and Zhang, Lei and Wong, Kwan-Yee K.}, title = {Progressive Semantic-Aware Style Transformation for Blind Face Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11896-11905} }

Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association

Peisong Wen,

Qianqian Xu,

Yangbangyan Jiang,

Zhiyong Yang,

Yuan He,

Qingming Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wen_2021_CVPR, author = {Wen, Peisong and Xu, Qianqian and Jiang, Yangbangyan and Yang, Zhiyong and He, Yuan and Huang, Qingming}, title = {Seeking the Shape of Sound: An Adaptive Framework for Learning Voice-Face Association}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16347-16356} }

Invertible Image Signal Processing

Yazhou Xing,

Zian Qian,

Qifeng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xing_2021_CVPR, author = {Xing, Yazhou and Qian, Zian and Chen, Qifeng}, title = {Invertible Image Signal Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6287-6296} }

Lighting, Reflectance and Geometry Estimation From 360deg Panoramic Stereo

Junxuan Li,

Hongdong Li,

Yasuyuki Matsushita

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Junxuan and Li, Hongdong and Matsushita, Yasuyuki}, title = {Lighting, Reflectance and Geometry Estimation From 360deg Panoramic Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10591-10600} }

Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation

Dohun Lim,

Hyeonseok Lee,

Sungchan Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lim_2021_CVPR, author = {Lim, Dohun and Lee, Hyeonseok and Kim, Sungchan}, title = {Building Reliable Explanations of Unreliable Neural Networks: Locally Smoothing Perspective of Model Interpretation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6468-6477} }

NeX: Real-Time View Synthesis With Neural Basis Expansion

Suttisak Wizadwongsa,

Pakkapon Phongthawee,

Jiraphon Yenphraphai,

Supasorn Suwajanakorn

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wizadwongsa_2021_CVPR, author = {Wizadwongsa, Suttisak and Phongthawee, Pakkapon and Yenphraphai, Jiraphon and Suwajanakorn, Supasorn}, title = {NeX: Real-Time View Synthesis With Neural Basis Expansion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8534-8543} }

DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions

Yuntao Qu,

Shasha Mo,

Jianwei Niu

[pdf] [supp]

[bibtex]

@InProceedings{Qu_2021_CVPR, author = {Qu, Yuntao and Mo, Shasha and Niu, Jianwei}, title = {DAT: Training Deep Networks Robust To Label-Noise by Matching the Feature Distributions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6821-6829} }

Repetitive Activity Counting by Sight and Sound

Yunhua Zhang,

Ling Shao,

Cees G. M. Snoek

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yunhua and Shao, Ling and Snoek, Cees G. M.}, title = {Repetitive Activity Counting by Sight and Sound}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14070-14079} }

PointGuard: Provably Robust 3D Point Cloud Classification

Hongbin Liu,

Jinyuan Jia,

Neil Zhenqiang Gong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Hongbin and Jia, Jinyuan and Gong, Neil Zhenqiang}, title = {PointGuard: Provably Robust 3D Point Cloud Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6186-6195} }

Unsupervised Multi-Source Domain Adaptation for Person Re-Identification

Zechen Bai,

Zhigang Wang,

Jian Wang,

Di Hu,

Errui Ding

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bai_2021_CVPR, author = {Bai, Zechen and Wang, Zhigang and Wang, Jian and Hu, Di and Ding, Errui}, title = {Unsupervised Multi-Source Domain Adaptation for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12914-12923} }

BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation

Jungbeom Lee,

Jihun Yi,

Chaehun Shin,

Sungroh Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Jungbeom and Yi, Jihun and Shin, Chaehun and Yoon, Sungroh}, title = {BBAM: Bounding Box Attribution Map for Weakly Supervised Semantic and Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2643-2652} }

Boosting Video Representation Learning With Multi-Faceted Integration

Zhaofan Qiu,

Ting Yao,

Chong-Wah Ngo,

Xiao-Ping Zhang,

Dong Wu,

Tao Mei

[pdf]

[bibtex]

@InProceedings{Qiu_2021_CVPR, author = {Qiu, Zhaofan and Yao, Ting and Ngo, Chong-Wah and Zhang, Xiao-Ping and Wu, Dong and Mei, Tao}, title = {Boosting Video Representation Learning With Multi-Faceted Integration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14030-14039} }

Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection

Zonghao Guo,

Chang Liu,

Xiaosong Zhang,

Jianbin Jiao,

Xiangyang Ji,

Qixiang Ye

[pdf]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Zonghao and Liu, Chang and Zhang, Xiaosong and Jiao, Jianbin and Ji, Xiangyang and Ye, Qixiang}, title = {Beyond Bounding-Box: Convex-Hull Feature Adaptation for Oriented and Densely Packed Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8792-8801} }

3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management

Tianyi Zhao,

Kai Cao,

Jiawen Yao,

Isabella Nogues,

Le Lu,

Lingyun Huang,

Jing Xiao,

Zhaozheng Yin,

Ling Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Tianyi and Cao, Kai and Yao, Jiawen and Nogues, Isabella and Lu, Le and Huang, Lingyun and Xiao, Jing and Yin, Zhaozheng and Zhang, Ling}, title = {3D Graph Anatomy Geometry-Integrated Network for Pancreatic Mass Segmentation, Diagnosis, and Quantitative Patient Management}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13743-13752} }

Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks

Ding Sheng Ong,

Chee Seng Chan,

Kam Woh Ng,

Lixin Fan,

Qiang Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ong_2021_CVPR, author = {Ong, Ding Sheng and Chan, Chee Seng and Ng, Kam Woh and Fan, Lixin and Yang, Qiang}, title = {Protecting Intellectual Property of Generative Adversarial Networks From Ambiguity Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3630-3639} }

End-to-End High Dynamic Range Camera Pipeline Optimization

Nicolas Robidoux,

Luis E. Garcia Capel,

Dong-eun Seo,

Avinash Sharma,

Federico Ariza,

Felix Heide

[pdf] [supp]

[bibtex]

@InProceedings{Robidoux_2021_CVPR, author = {Robidoux, Nicolas and Capel, Luis E. Garcia and Seo, Dong-eun and Sharma, Avinash and Ariza, Federico and Heide, Felix}, title = {End-to-End High Dynamic Range Camera Pipeline Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6297-6307} }

Parser-Free Virtual Try-On via Distilling Appearance Flows

Yuying Ge,

Yibing Song,

Ruimao Zhang,

Chongjian Ge,

Wei Liu,

Ping Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ge_2021_CVPR, author = {Ge, Yuying and Song, Yibing and Zhang, Ruimao and Ge, Chongjian and Liu, Wei and Luo, Ping}, title = {Parser-Free Virtual Try-On via Distilling Appearance Flows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8485-8493} }

GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields

Michael Niemeyer,

Andreas Geiger

[pdf] [arXiv]

[bibtex]

@InProceedings{Niemeyer_2021_CVPR, author = {Niemeyer, Michael and Geiger, Andreas}, title = {GIRAFFE: Representing Scenes As Compositional Generative Neural Feature Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11453-11464} }

Single-Stage Instance Shadow Detection With Bidirectional Relation Learning

Tianyu Wang,

Xiaowei Hu,

Chi-Wing Fu,

Pheng-Ann Heng

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Tianyu and Hu, Xiaowei and Fu, Chi-Wing and Heng, Pheng-Ann}, title = {Single-Stage Instance Shadow Detection With Bidirectional Relation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1-11} }

High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras

Yajing Zheng,

Lingxiao Zheng,

Zhaofei Yu,

Boxin Shi,

Yonghong Tian,

Tiejun Huang

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Yajing and Zheng, Lingxiao and Yu, Zhaofei and Shi, Boxin and Tian, Yonghong and Huang, Tiejun}, title = {High-Speed Image Reconstruction Through Short-Term Plasticity for Spiking Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6358-6367} }

Self-Supervised 3D Mesh Reconstruction From Single Images

Tao Hu,

Liwei Wang,

Xiaogang Xu,

Shu Liu,

Jiaya Jia

[pdf] [supp]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Tao and Wang, Liwei and Xu, Xiaogang and Liu, Shu and Jia, Jiaya}, title = {Self-Supervised 3D Mesh Reconstruction From Single Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6002-6011} }

Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement

Hao Lu,

Hu Han,

S. Kevin Zhou

[pdf]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Hao and Han, Hu and Zhou, S. Kevin}, title = {Dual-GAN: Joint BVP and Noise Modeling for Remote Physiological Measurement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12404-12413} }

Audio-Visual Instance Discrimination with Cross-Modal Agreement

Pedro Morgado,

Nuno Vasconcelos,

Ishan Misra

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Morgado_2021_CVPR, author = {Morgado, Pedro and Vasconcelos, Nuno and Misra, Ishan}, title = {Audio-Visual Instance Discrimination with Cross-Modal Agreement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12475-12486} }

Combined Depth Space Based Architecture Search for Person Re-Identification

Hanjun Li,

Gaojie Wu,

Wei-Shi Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Hanjun and Wu, Gaojie and Zheng, Wei-Shi}, title = {Combined Depth Space Based Architecture Search for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6729-6738} }

Rethinking BiSeNet for Real-Time Semantic Segmentation

Mingyuan Fan,

Shenqi Lai,

Junshi Huang,

Xiaoming Wei,

Zhenhua Chai,

Junfeng Luo,

Xiaolin Wei

[pdf] [arXiv]

[bibtex]

@InProceedings{Fan_2021_CVPR, author = {Fan, Mingyuan and Lai, Shenqi and Huang, Junshi and Wei, Xiaoming and Chai, Zhenhua and Luo, Junfeng and Wei, Xiaolin}, title = {Rethinking BiSeNet for Real-Time Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9716-9725} }

The Spatially-Correlative Loss for Various Image Translation Tasks

Chuanxia Zheng,

Tat-Jen Cham,

Jianfei Cai

[pdf] [arXiv]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Chuanxia and Cham, Tat-Jen and Cai, Jianfei}, title = {The Spatially-Correlative Loss for Various Image Translation Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16407-16417} }

Learning To Restore Hazy Video: A New Real-World Dataset and a New Method

Xinyi Zhang,

Hang Dong,

Jinshan Pan,

Chao Zhu,

Ying Tai,

Chengjie Wang,

Jilin Li,

Feiyue Huang,

Fei Wang

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xinyi and Dong, Hang and Pan, Jinshan and Zhu, Chao and Tai, Ying and Wang, Chengjie and Li, Jilin and Huang, Feiyue and Wang, Fei}, title = {Learning To Restore Hazy Video: A New Real-World Dataset and a New Method}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9239-9248} }

DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking

Kha Gia Quach,

Pha Nguyen,

Huu Le,

Thanh-Dat Truong,

Chi Nhan Duong,

Minh-Triet Tran,

Khoa Luu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Quach_2021_CVPR, author = {Quach, Kha Gia and Nguyen, Pha and Le, Huu and Truong, Thanh-Dat and Duong, Chi Nhan and Tran, Minh-Triet and Luu, Khoa}, title = {DyGLIP: A Dynamic Graph Model With Link Prediction for Accurate Multi-Camera Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13784-13793} }

Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework

Miao Yin,

Yang Sui,

Siyu Liao,

Bo Yuan

[pdf] [supp]

[bibtex]

@InProceedings{Yin_2021_CVPR, author = {Yin, Miao and Sui, Yang and Liao, Siyu and Yuan, Bo}, title = {Towards Efficient Tensor Decomposition-Based DNN Model Compression With Optimization Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10674-10683} }

User-Guided Line Art Flat Filling With Split Filling Mechanism

Lvmin Zhang,

Chengze Li,

Edgar Simo-Serra,

Yi Ji,

Tien-Tsin Wong,

Chunping Liu

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Lvmin and Li, Chengze and Simo-Serra, Edgar and Ji, Yi and Wong, Tien-Tsin and Liu, Chunping}, title = {User-Guided Line Art Flat Filling With Split Filling Mechanism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9889-9898} }

Restore From Restored: Video Restoration With Pseudo Clean Video

Seunghwan Lee,

Donghyeon Cho,

Jiwon Kim,

Tae Hyun Kim

[pdf] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Seunghwan and Cho, Donghyeon and Kim, Jiwon and Kim, Tae Hyun}, title = {Restore From Restored: Video Restoration With Pseudo Clean Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3537-3546} }

Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion

Shi Qiu,

Saeed Anwar,

Nick Barnes

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qiu_2021_CVPR, author = {Qiu, Shi and Anwar, Saeed and Barnes, Nick}, title = {Semantic Segmentation for Real Point Cloud Scenes via Bilateral Augmentation and Adaptive Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1757-1767} }

Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection

Qize Yang,

Xihan Wei,

Biao Wang,

Xian-Sheng Hua,

Lei Zhang

[pdf]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Qize and Wei, Xihan and Wang, Biao and Hua, Xian-Sheng and Zhang, Lei}, title = {Interactive Self-Training With Mean Teachers for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5941-5950} }

DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls

Hongyu Liu,

Ziyu Wan,

Wei Huang,

Yibing Song,

Xintong Han,

Jing Liao,

Bin Jiang,

Wei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Hongyu and Wan, Ziyu and Huang, Wei and Song, Yibing and Han, Xintong and Liao, Jing and Jiang, Bin and Liu, Wei}, title = {DeFLOCNet: Deep Image Editing via Flexible Low-Level Controls}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10765-10774} }

Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs

Xudong Lin,

Gedas Bertasius,

Jue Wang,

Shih-Fu Chang,

Devi Parikh,

Lorenzo Torresani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Xudong and Bertasius, Gedas and Wang, Jue and Chang, Shih-Fu and Parikh, Devi and Torresani, Lorenzo}, title = {Vx2Text: End-to-End Learning of Video-Based Text Generation From Multimodal Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7005-7015} }

KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning

Li Yang,

Zhezhi He,

Junshan Zhang,

Deliang Fan

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Li and He, Zhezhi and Zhang, Junshan and Fan, Deliang}, title = {KSM: Fast Multiple Task Adaption via Kernel-Wise Soft Mask Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13845-13853} }

Rich Context Aggregation With Reflection Prior for Glass Surface Detection

Jiaying Lin,

Zebang He,

Rynson W.H. Lau

[pdf]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Jiaying and He, Zebang and Lau, Rynson W.H.}, title = {Rich Context Aggregation With Reflection Prior for Glass Surface Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13415-13424} }

Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization

Aysim Toker,

Qunjie Zhou,

Maxim Maximov,

Laura Leal-Taixe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Toker_2021_CVPR, author = {Toker, Aysim and Zhou, Qunjie and Maximov, Maxim and Leal-Taixe, Laura}, title = {Coming Down to Earth: Satellite-to-Street View Synthesis for Geo-Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6488-6497} }

AutoInt: Automatic Integration for Fast Neural Volume Rendering

David B. Lindell,

Julien N. P. Martel,

Gordon Wetzstein

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lindell_2021_CVPR, author = {Lindell, David B. and Martel, Julien N. P. and Wetzstein, Gordon}, title = {AutoInt: Automatic Integration for Fast Neural Volume Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14556-14565} }

Pose-Guided Human Animation From a Single Image in the Wild

Jae Shin Yoon,

Lingjie Liu,

Vladislav Golyanik,

Kripasindhu Sarkar,

Hyun Soo Park,

Christian Theobalt

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yoon_2021_CVPR, author = {Yoon, Jae Shin and Liu, Lingjie and Golyanik, Vladislav and Sarkar, Kripasindhu and Park, Hyun Soo and Theobalt, Christian}, title = {Pose-Guided Human Animation From a Single Image in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15039-15048} }

Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression

Chen Gao,

Jinyu Chen,

Si Liu,

Luting Wang,

Qiong Zhang,

Qi Wu

[pdf] [supp]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Chen and Chen, Jinyu and Liu, Si and Wang, Luting and Zhang, Qiong and Wu, Qi}, title = {Room-and-Object Aware Knowledge Reasoning for Remote Embodied Referring Expression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3064-3073} }

Equivariant Point Network for 3D Point Cloud Analysis

Haiwei Chen,

Shichen Liu,

Weikai Chen,

Hao Li,

Randall Hill

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Haiwei and Liu, Shichen and Chen, Weikai and Li, Hao and Hill, Randall}, title = {Equivariant Point Network for 3D Point Cloud Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14514-14523} }

Learning Graph Embeddings for Compositional Zero-Shot Learning

Muhammad Ferjad Naeem,

Yongqin Xian,

Federico Tombari,

Zeynep Akata

[pdf] [supp] [arXiv]

[bibtex]

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

NeRD: Neural 3D Reflection Symmetry Detector

Yichao Zhou,

Shichen Liu,

Yi Ma

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yichao and Liu, Shichen and Ma, Yi}, title = {NeRD: Neural 3D Reflection Symmetry Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15940-15949} }

Checkerboard Context Model for Efficient Learned Image Compression

Dailan He,

Yaoyan Zheng,

Baocheng Sun,

Yan Wang,

Hongwei Qin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Dailan and Zheng, Yaoyan and Sun, Baocheng and Wang, Yan and Qin, Hongwei}, title = {Checkerboard Context Model for Efficient Learned Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14771-14780} }

Zero-Shot Adversarial Quantization

Yuang Liu,

Wei Zhang,

Jun Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yuang and Zhang, Wei and Wang, Jun}, title = {Zero-Shot Adversarial Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1512-1521} }

Group Whitening: Balancing Learning Efficiency and Representational Capacity

Lei Huang,

Yi Zhou,

Li Liu,

Fan Zhu,

Ling Shao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Lei and Zhou, Yi and Liu, Li and Zhu, Fan and Shao, Ling}, title = {Group Whitening: Balancing Learning Efficiency and Representational Capacity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9512-9521} }

Adversarial Robustness Under Long-Tailed Distribution

Tong Wu,

Ziwei Liu,

Qingqiu Huang,

Yu Wang,

Dahua Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Tong and Liu, Ziwei and Huang, Qingqiu and Wang, Yu and Lin, Dahua}, title = {Adversarial Robustness Under Long-Tailed Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8659-8668} }

HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation

Yuval Nirkin,

Lior Wolf,

Tal Hassner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nirkin_2021_CVPR, author = {Nirkin, Yuval and Wolf, Lior and Hassner, Tal}, title = {HyperSeg: Patch-Wise Hypernetwork for Real-Time Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4061-4070} }

Augmentation Strategies for Learning With Noisy Labels

Kento Nishi,

Yi Ding,

Alex Rich,

Tobias Hollerer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nishi_2021_CVPR, author = {Nishi, Kento and Ding, Yi and Rich, Alex and Hollerer, Tobias}, title = {Augmentation Strategies for Learning With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8022-8031} }

AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching

Xiao Song,

Guorun Yang,

Xinge Zhu,

Hui Zhou,

Zhe Wang,

Jianping Shi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Song_2021_CVPR, author = {Song, Xiao and Yang, Guorun and Zhu, Xinge and Zhou, Hui and Wang, Zhe and Shi, Jianping}, title = {AdaStereo: A Simple and Efficient Approach for Adaptive Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10328-10337} }

ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic

Xiangtao Kong,

Hengyuan Zhao,

Yu Qiao,

Chao Dong

[pdf] [arXiv]

[bibtex]

@InProceedings{Kong_2021_CVPR, author = {Kong, Xiangtao and Zhao, Hengyuan and Qiao, Yu and Dong, Chao}, title = {ClassSR: A General Framework to Accelerate Super-Resolution Networks by Data Characteristic}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12016-12025} }

Partition-Guided GANs

Mohammadreza Armandpour,

Ali Sadeghian,

Chunyuan Li,

Mingyuan Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Armandpour_2021_CVPR, author = {Armandpour, Mohammadreza and Sadeghian, Ali and Li, Chunyuan and Zhou, Mingyuan}, title = {Partition-Guided GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5099-5109} }

GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction

Cheol-Hui Min,

Jinseok Bae,

Junho Lee,

Young Min Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Min_2021_CVPR, author = {Min, Cheol-Hui and Bae, Jinseok and Lee, Junho and Kim, Young Min}, title = {GATSBI: Generative Agent-Centric Spatio-Temporal Object Interaction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3074-3083} }

Privacy-Preserving Collaborative Learning With Automatic Transformation Search

Wei Gao,

Shangwei Guo,

Tianwei Zhang,

Han Qiu,

Yonggang Wen,

Yang Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Wei and Guo, Shangwei and Zhang, Tianwei and Qiu, Han and Wen, Yonggang and Liu, Yang}, title = {Privacy-Preserving Collaborative Learning With Automatic Transformation Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {114-123} }

Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval

Yawen Zeng,

Da Cao,

Xiaochi Wei,

Meng Liu,

Zhou Zhao,

Zheng Qin

[pdf]

[bibtex]

@InProceedings{Zeng_2021_CVPR, author = {Zeng, Yawen and Cao, Da and Wei, Xiaochi and Liu, Meng and Zhao, Zhou and Qin, Zheng}, title = {Multi-Modal Relational Graph for Cross-Modal Video Moment Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2215-2224} }

Point Cloud Instance Segmentation Using Probabilistic Embeddings

Biao Zhang,

Peter Wonka

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Biao and Wonka, Peter}, title = {Point Cloud Instance Segmentation Using Probabilistic Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8883-8892} }

pixelNeRF: Neural Radiance Fields From One or Few Images

Alex Yu,

Vickie Ye,

Matthew Tancik,

Angjoo Kanazawa

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Alex and Ye, Vickie and Tancik, Matthew and Kanazawa, Angjoo}, title = {pixelNeRF: Neural Radiance Fields From One or Few Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4578-4587} }

Navigating the GAN Parameter Space for Semantic Image Editing

Anton Cherepkov,

Andrey Voynov,

Artem Babenko

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cherepkov_2021_CVPR, author = {Cherepkov, Anton and Voynov, Andrey and Babenko, Artem}, title = {Navigating the GAN Parameter Space for Semantic Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3671-3680} }

Large-Capacity Image Steganography Based on Invertible Neural Networks

Shao-Ping Lu,

Rong Wang,

Tao Zhong,

Paul L. Rosin

[pdf] [supp]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Shao-Ping and Wang, Rong and Zhong, Tao and Rosin, Paul L.}, title = {Large-Capacity Image Steganography Based on Invertible Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10816-10825} }

Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis

Chaoyi Zhang,

Jianhui Yu,

Yang Song,

Weidong Cai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Chaoyi and Yu, Jianhui and Song, Yang and Cai, Weidong}, title = {Exploiting Edge-Oriented Reasoning for 3D Point-Based Scene Graph Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9705-9715} }

CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning

Can Zhang,

Meng Cao,

Dongming Yang,

Jie Chen,

Yuexian Zou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Can and Cao, Meng and Yang, Dongming and Chen, Jie and Zou, Yuexian}, title = {CoLA: Weakly-Supervised Temporal Action Localization With Snippet Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16010-16019} }

MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition

Shuang Li,

Kaixiong Gong,

Chi Harold Liu,

Yulin Wang,

Feng Qiao,

Xinjing Cheng

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Shuang and Gong, Kaixiong and Liu, Chi Harold and Wang, Yulin and Qiao, Feng and Cheng, Xinjing}, title = {MetaSAug: Meta Semantic Augmentation for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5212-5221} }

Limitations of Post-Hoc Feature Alignment for Robustness

Collin Burns,

Jacob Steinhardt

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Burns_2021_CVPR, author = {Burns, Collin and Steinhardt, Jacob}, title = {Limitations of Post-Hoc Feature Alignment for Robustness}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2525-2533} }

Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation

Simon Reiss,

Constantin Seibold,

Alexander Freytag,

Erik Rodner,

Rainer Stiefelhagen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Reiss_2021_CVPR, author = {Reiss, Simon and Seibold, Constantin and Freytag, Alexander and Rodner, Erik and Stiefelhagen, Rainer}, title = {Every Annotation Counts: Multi-Label Deep Supervision for Medical Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9532-9542} }

Roses Are Red, Violets Are Blue... but Should VQA Expect Them To?

Corentin Kervadec,

Grigory Antipov,

Moez Baccouche,

Christian Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kervadec_2021_CVPR, author = {Kervadec, Corentin and Antipov, Grigory and Baccouche, Moez and Wolf, Christian}, title = {Roses Are Red, Violets Are Blue... but Should VQA Expect Them To?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2776-2785} }

FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter

Khoi Nguyen,

Sinisa Todorovic

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nguyen_2021_CVPR, author = {Nguyen, Khoi and Todorovic, Sinisa}, title = {FAPIS: A Few-Shot Anchor-Free Part-Based Instance Segmenter}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11099-11108} }

Disentangling Label Distribution for Long-Tailed Visual Recognition

Youngkyu Hong,

Seungju Han,

Kwanghee Choi,

Seokjun Seo,

Beomsu Kim,

Buru Chang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Youngkyu and Han, Seungju and Choi, Kwanghee and Seo, Seokjun and Kim, Beomsu and Chang, Buru}, title = {Disentangling Label Distribution for Long-Tailed Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6626-6636} }

Gradient Forward-Propagation for Large-Scale Temporal Video Modelling

Mateusz Malinowski,

Dimitrios Vytiniotis,

Grzegorz Swirszcz,

Viorica Patraucean,

Joao Carreira

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Malinowski_2021_CVPR, author = {Malinowski, Mateusz and Vytiniotis, Dimitrios and Swirszcz, Grzegorz and Patraucean, Viorica and Carreira, Joao}, title = {Gradient Forward-Propagation for Large-Scale Temporal Video Modelling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9249-9259} }

Learning a Non-Blind Deblurring Network for Night Blurry Images

Liang Chen,

Jiawei Zhang,

Jinshan Pan,

Songnan Lin,

Faming Fang,

Jimmy S. Ren

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Liang and Zhang, Jiawei and Pan, Jinshan and Lin, Songnan and Fang, Faming and Ren, Jimmy S.}, title = {Learning a Non-Blind Deblurring Network for Night Blurry Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10542-10550} }

Differentiable Diffusion for Dense Depth Estimation From Multi-View Images

Numair Khan,

Min H. Kim,

James Tompkin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khan_2021_CVPR, author = {Khan, Numair and Kim, Min H. and Tompkin, James}, title = {Differentiable Diffusion for Dense Depth Estimation From Multi-View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8912-8921} }

Deep Compositional Metric Learning

Wenzhao Zheng,

Chengkun Wang,

Jiwen Lu,

Jie Zhou

[pdf]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Wenzhao and Wang, Chengkun and Lu, Jiwen and Zhou, Jie}, title = {Deep Compositional Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9320-9329} }

Representing Videos As Discriminative Sub-Graphs for Action Recognition

Dong Li,

Zhaofan Qiu,

Yingwei Pan,

Ting Yao,

Houqiang Li,

Tao Mei

[pdf]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Dong and Qiu, Zhaofan and Pan, Yingwei and Yao, Ting and Li, Houqiang and Mei, Tao}, title = {Representing Videos As Discriminative Sub-Graphs for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3310-3319} }

AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness Training

Mihai Fieraru,

Mihai Zanfir,

Silviu Cristian Pirlea,

Vlad Olaru,

Cristian Sminchisescu

[pdf] [supp]

[bibtex]

@InProceedings{Fieraru_2021_CVPR, author = {Fieraru, Mihai and Zanfir, Mihai and Pirlea, Silviu Cristian and Olaru, Vlad and Sminchisescu, Cristian}, title = {AIFit: Automatic 3D Human-Interpretable Feedback Models for Fitness Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9919-9928} }

Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes

Jiashun Wang,

Huazhe Xu,

Jingwei Xu,

Sifei Liu,

Xiaolong Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jiashun and Xu, Huazhe and Xu, Jingwei and Liu, Sifei and Wang, Xiaolong}, title = {Synthesizing Long-Term 3D Human Motion and Interaction in 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9401-9411} }

How Well Do Self-Supervised Models Transfer?

Linus Ericsson,

Henry Gouk,

Timothy M. Hospedales

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ericsson_2021_CVPR, author = {Ericsson, Linus and Gouk, Henry and Hospedales, Timothy M.}, title = {How Well Do Self-Supervised Models Transfer?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5414-5423} }

Understanding Object Dynamics for Interactive Image-to-Video Synthesis

Andreas Blattmann,

Timo Milbich,

Michael Dorkenwald,

Bjorn Ommer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Blattmann_2021_CVPR, author = {Blattmann, Andreas and Milbich, Timo and Dorkenwald, Michael and Ommer, Bjorn}, title = {Understanding Object Dynamics for Interactive Image-to-Video Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5171-5181} }

Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

Eric R. Chan,

Marco Monteiro,

Petr Kellnhofer,

Jiajun Wu,

Gordon Wetzstein

[pdf] [supp]

[bibtex]

@InProceedings{Chan_2021_CVPR, author = {Chan, Eric R. and Monteiro, Marco and Kellnhofer, Petr and Wu, Jiajun and Wetzstein, Gordon}, title = {Pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5799-5809} }

Diverse Branch Block: Building a Convolution as an Inception-Like Unit

Xiaohan Ding,

Xiangyu Zhang,

Jungong Han,

Guiguang Ding

[pdf] [arXiv]

[bibtex]

@InProceedings{Ding_2021_CVPR, author = {Ding, Xiaohan and Zhang, Xiangyu and Han, Jungong and Ding, Guiguang}, title = {Diverse Branch Block: Building a Convolution as an Inception-Like Unit}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10886-10895} }

Post-Hoc Uncertainty Calibration for Domain Drift Scenarios

Christian Tomani,

Sebastian Gruber,

Muhammed Ebrar Erdem,

Daniel Cremers,

Florian Buettner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tomani_2021_CVPR, author = {Tomani, Christian and Gruber, Sebastian and Erdem, Muhammed Ebrar and Cremers, Daniel and Buettner, Florian}, title = {Post-Hoc Uncertainty Calibration for Domain Drift Scenarios}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10124-10132} }

Slimmable Compressive Autoencoders for Practical Neural Image Compression

Fei Yang,

Luis Herranz,

Yongmei Cheng,

Mikhail G. Mozerov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Fei and Herranz, Luis and Cheng, Yongmei and Mozerov, Mikhail G.}, title = {Slimmable Compressive Autoencoders for Practical Neural Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4998-5007} }

Function4D: Real-Time Human Volumetric Capture From Very Sparse Consumer RGBD Sensors

Tao Yu,

Zerong Zheng,

Kaiwen Guo,

Pengpeng Liu,

Qionghai Dai,

Yebin Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Tao and Zheng, Zerong and Guo, Kaiwen and Liu, Pengpeng and Dai, Qionghai and Liu, Yebin}, title = {Function4D: Real-Time Human Volumetric Capture From Very Sparse Consumer RGBD Sensors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5746-5756} }

LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution

Xin Deng,

Hao Wang,

Mai Xu,

Yichen Guo,

Yuhang Song,

Li Yang

[pdf]

[bibtex]

@InProceedings{Deng_2021_CVPR, author = {Deng, Xin and Wang, Hao and Xu, Mai and Guo, Yichen and Song, Yuhang and Yang, Li}, title = {LAU-Net: Latitude Adaptive Upscaling Network for Omnidirectional Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9189-9198} }

UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers

Zhigang Dai,

Bolun Cai,

Yugeng Lin,

Junying Chen

[pdf] [supp]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Zhigang and Cai, Bolun and Lin, Yugeng and Chen, Junying}, title = {UP-DETR: Unsupervised Pre-Training for Object Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1601-1610} }

Self-Attention Based Text Knowledge Mining for Text Detection

Qi Wan,

Haoqin Ji,

Linlin Shen

[pdf] [supp]

[bibtex]

@InProceedings{Wan_2021_CVPR, author = {Wan, Qi and Ji, Haoqin and Shen, Linlin}, title = {Self-Attention Based Text Knowledge Mining for Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5983-5992} }

Image De-Raining via Continual Learning

Man Zhou,

Jie Xiao,

Yifan Chang,

Xueyang Fu,

Aiping Liu,

Jinshan Pan,

Zheng-Jun Zha

[pdf]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Man and Xiao, Jie and Chang, Yifan and Fu, Xueyang and Liu, Aiping and Pan, Jinshan and Zha, Zheng-Jun}, title = {Image De-Raining via Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4907-4916} }

Layer-Wise Searching for 1-Bit Detectors

Sheng Xu,

Junhe Zhao,

Jinhu Lu,

Baochang Zhang,

Shumin Han,

David Doermann

[pdf]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Sheng and Zhao, Junhe and Lu, Jinhu and Zhang, Baochang and Han, Shumin and Doermann, David}, title = {Layer-Wise Searching for 1-Bit Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5682-5691} }

Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

Yanbei Chen,

Yongqin Xian,

A. Sophia Koepke,

Ying Shan,

Zeynep Akata

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Yanbei and Xian, Yongqin and Koepke, A. Sophia and Shan, Ying and Akata, Zeynep}, title = {Distilling Audio-Visual Knowledge by Compositional Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7016-7025} }

Unsupervised Visual Attention and Invariance for Reinforcement Learning

Xudong Wang,

Long Lian,

Stella X. Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xudong and Lian, Long and Yu, Stella X.}, title = {Unsupervised Visual Attention and Invariance for Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6677-6687} }

CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement

Noranart Vesdapunt,

Baoyuan Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Vesdapunt_2021_CVPR, author = {Vesdapunt, Noranart and Wang, Baoyuan}, title = {CRFace: Confidence Ranker for Model-Agnostic Face Detection Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1674-1684} }

Semantic Audio-Visual Navigation

Changan Chen,

Ziad Al-Halah,

Kristen Grauman

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Changan and Al-Halah, Ziad and Grauman, Kristen}, title = {Semantic Audio-Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15516-15525} }

Humble Teachers Teach Better Students for Semi-Supervised Object Detection

Yihe Tang,

Weifeng Chen,

Yijun Luo,

Yuting Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Yihe and Chen, Weifeng and Luo, Yijun and Zhang, Yuting}, title = {Humble Teachers Teach Better Students for Semi-Supervised Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3132-3141} }

One Shot Face Swapping on Megapixels

Yuhao Zhu,

Qi Li,

Jian Wang,

Cheng-Zhong Xu,

Zhenan Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Yuhao and Li, Qi and Wang, Jian and Xu, Cheng-Zhong and Sun, Zhenan}, title = {One Shot Face Swapping on Megapixels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4834-4844} }

CDFI: Compression-Driven Network Design for Frame Interpolation

Tianyu Ding,

Luming Liang,

Zhihui Zhu,

Ilya Zharkov

[pdf] [arXiv]

[bibtex]

@InProceedings{Ding_2021_CVPR, author = {Ding, Tianyu and Liang, Luming and Zhu, Zhihui and Zharkov, Ilya}, title = {CDFI: Compression-Driven Network Design for Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8001-8011} }

PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds

Mutian Xu,

Runyu Ding,

Hengshuang Zhao,

Xiaojuan Qi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Mutian and Ding, Runyu and Zhao, Hengshuang and Qi, Xiaojuan}, title = {PAConv: Position Adaptive Convolution With Dynamic Kernel Assembling on Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3173-3182} }

End-to-End Object Detection With Fully Convolutional Network

Jianfeng Wang,

Lin Song,

Zeming Li,

Hongbin Sun,

Jian Sun,

Nanning Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jianfeng and Song, Lin and Li, Zeming and Sun, Hongbin and Sun, Jian and Zheng, Nanning}, title = {End-to-End Object Detection With Fully Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15849-15858} }

Efficient Initial Pose-Graph Generation for Global SfM

Daniel Barath,

Dmytro Mishkin,

Ivan Eichhardt,

Ilia Shipachev,

Jiri Matas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Barath_2021_CVPR, author = {Barath, Daniel and Mishkin, Dmytro and Eichhardt, Ivan and Shipachev, Ilia and Matas, Jiri}, title = {Efficient Initial Pose-Graph Generation for Global SfM}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14546-14555} }

Representative Batch Normalization With Feature Calibration

Shang-Hua Gao,

Qi Han,

Duo Li,

Ming-Ming Cheng,

Pai Peng

[pdf]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Shang-Hua and Han, Qi and Li, Duo and Cheng, Ming-Ming and Peng, Pai}, title = {Representative Batch Normalization With Feature Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8669-8679} }

VarifocalNet: An IoU-Aware Dense Object Detector

Haoyang Zhang,

Ying Wang,

Feras Dayoub,

Niko Sunderhauf

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Haoyang and Wang, Ying and Dayoub, Feras and Sunderhauf, Niko}, title = {VarifocalNet: An IoU-Aware Dense Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8514-8523} }

Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation

Youngmin Oh,

Beomjun Kim,

Bumsub Ham

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Oh_2021_CVPR, author = {Oh, Youngmin and Kim, Beomjun and Ham, Bumsub}, title = {Background-Aware Pooling and Noise-Aware Loss for Weakly-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6913-6922} }

Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution

Chi Zhang,

Baoxiong Jia,

Song-Chun Zhu,

Yixin Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Chi and Jia, Baoxiong and Zhu, Song-Chun and Zhu, Yixin}, title = {Abstract Spatial-Temporal Reasoning via Probabilistic Abduction and Execution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9736-9746} }

Reducing Domain Gap by Reducing Style Bias

Hyeonseob Nam,

HyunJae Lee,

Jongchan Park,

Wonjun Yoon,

Donggeun Yoo

[pdf] [arXiv]

[bibtex]

@InProceedings{Nam_2021_CVPR, author = {Nam, Hyeonseob and Lee, HyunJae and Park, Jongchan and Yoon, Wonjun and Yoo, Donggeun}, title = {Reducing Domain Gap by Reducing Style Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8690-8699} }

Efficient Regional Memory Network for Video Object Segmentation

Haozhe Xie,

Hongxun Yao,

Shangchen Zhou,

Shengping Zhang,

Wenxiu Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Xie_2021_CVPR, author = {Xie, Haozhe and Yao, Hongxun and Zhou, Shangchen and Zhang, Shengping and Sun, Wenxiu}, title = {Efficient Regional Memory Network for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1286-1295} }

Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-Localization in Large Scenes From Body-Mounted Sensors

Vladimir Guzov,

Aymen Mir,

Torsten Sattler,

Gerard Pons-Moll

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guzov_2021_CVPR, author = {Guzov, Vladimir and Mir, Aymen and Sattler, Torsten and Pons-Moll, Gerard}, title = {Human POSEitioning System (HPS): 3D Human Pose Estimation and Self-Localization in Large Scenes From Body-Mounted Sensors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4318-4329} }

Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection

Chenchen Zhu,

Fangyi Chen,

Uzair Ahmed,

Zhiqiang Shen,

Marios Savvides

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Chenchen and Chen, Fangyi and Ahmed, Uzair and Shen, Zhiqiang and Savvides, Marios}, title = {Semantic Relation Reasoning for Shot-Stable Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8782-8791} }

Online Multiple Object Tracking With Cross-Task Synergy

Song Guo,

Jingya Wang,

Xinchao Wang,

Dacheng Tao

[pdf] [arXiv]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Song and Wang, Jingya and Wang, Xinchao and Tao, Dacheng}, title = {Online Multiple Object Tracking With Cross-Task Synergy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8136-8145} }

Discovering Relationships Between Object Categories via Universal Canonical Maps

Natalia Neverova,

Artsiom Sanakoyeu,

Patrick Labatut,

David Novotny,

Andrea Vedaldi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Neverova_2021_CVPR, author = {Neverova, Natalia and Sanakoyeu, Artsiom and Labatut, Patrick and Novotny, David and Vedaldi, Andrea}, title = {Discovering Relationships Between Object Categories via Universal Canonical Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {404-413} }

Prior Based Human Completion

Zibo Zhao,

Wen Liu,

Yanyu Xu,

Xianing Chen,

Weixin Luo,

Lei Jin,

Bohui Zhu,

Tong Liu,

Binqiang Zhao,

Shenghua Gao

[pdf] [supp]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Zibo and Liu, Wen and Xu, Yanyu and Chen, Xianing and Luo, Weixin and Jin, Lei and Zhu, Bohui and Liu, Tong and Zhao, Binqiang and Gao, Shenghua}, title = {Prior Based Human Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7951-7961} }

Neural Response Interpretation Through the Lens of Critical Pathways

Ashkan Khakzar,

Soroosh Baselizadeh,

Saurabh Khanduja,

Christian Rupprecht,

Seong Tae Kim,

Nassir Navab

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khakzar_2021_CVPR, author = {Khakzar, Ashkan and Baselizadeh, Soroosh and Khanduja, Saurabh and Rupprecht, Christian and Kim, Seong Tae and Navab, Nassir}, title = {Neural Response Interpretation Through the Lens of Critical Pathways}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13528-13538} }

Rethinking and Improving the Robustness of Image Style Transfer

Pei Wang,

Yijun Li,

Nuno Vasconcelos

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Pei and Li, Yijun and Vasconcelos, Nuno}, title = {Rethinking and Improving the Robustness of Image Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {124-133} }

FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding

Bo Sun,

Banghuai Li,

Shengcai Cai,

Ye Yuan,

Chi Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Bo and Li, Banghuai and Cai, Shengcai and Yuan, Ye and Zhang, Chi}, title = {FSCE: Few-Shot Object Detection via Contrastive Proposal Encoding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7352-7362} }

Cross-Domain Similarity Learning for Face Recognition in Unseen Domains

Masoud Faraki,

Xiang Yu,

Yi-Hsuan Tsai,

Yumin Suh,

Manmohan Chandraker

[pdf] [arXiv]

[bibtex]

@InProceedings{Faraki_2021_CVPR, author = {Faraki, Masoud and Yu, Xiang and Tsai, Yi-Hsuan and Suh, Yumin and Chandraker, Manmohan}, title = {Cross-Domain Similarity Learning for Face Recognition in Unseen Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15292-15301} }

Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification

Jiaxing Chen,

Xinyang Jiang,

Fudong Wang,

Jun Zhang,

Feng Zheng,

Xing Sun,

Wei-Shi Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Jiaxing and Jiang, Xinyang and Wang, Fudong and Zhang, Jun and Zheng, Feng and Sun, Xing and Zheng, Wei-Shi}, title = {Learning 3D Shape Feature for Texture-Insensitive Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8146-8155} }

Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources

Pengyu Li,

Biao Wang,

Lei Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Pengyu and Wang, Biao and Zhang, Lei}, title = {Virtual Fully-Connected Layer: Training a Large-Scale Face Recognition Dataset With Limited Computational Resources}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13315-13324} }

Multi-Person Implicit Reconstruction From a Single Image

Armin Mustafa,

Akin Caliskan,

Lourdes Agapito,

Adrian Hilton

[pdf] [arXiv]

[bibtex]

@InProceedings{Mustafa_2021_CVPR, author = {Mustafa, Armin and Caliskan, Akin and Agapito, Lourdes and Hilton, Adrian}, title = {Multi-Person Implicit Reconstruction From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14474-14483} }

OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection

Tingting Liang,

Yongtao Wang,

Zhi Tang,

Guosheng Hu,

Haibin Ling

[pdf] [arXiv]

[bibtex]

@InProceedings{Liang_2021_CVPR, author = {Liang, Tingting and Wang, Yongtao and Tang, Zhi and Hu, Guosheng and Ling, Haibin}, title = {OPANAS: One-Shot Path Aggregation Network Architecture Search for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10195-10203} }

Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering

Jungin Park,

Jiyoung Lee,

Kwanghoon Sohn

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2021_CVPR, author = {Park, Jungin and Lee, Jiyoung and Sohn, Kwanghoon}, title = {Bridge To Answer: Structure-Aware Graph Interaction Network for Video Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15526-15535} }

Learning Compositional Radiance Fields of Dynamic Human Heads

Ziyan Wang,

Timur Bagautdinov,

Stephen Lombardi,

Tomas Simon,

Jason Saragih,

Jessica Hodgins,

Michael Zollhofer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Ziyan and Bagautdinov, Timur and Lombardi, Stephen and Simon, Tomas and Saragih, Jason and Hodgins, Jessica and Zollhofer, Michael}, title = {Learning Compositional Radiance Fields of Dynamic Human Heads}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5704-5713} }

Partial Person Re-Identification With Part-Part Correspondence Learning

Tianyu He,

Xu Shen,

Jianqiang Huang,

Zhibo Chen,

Xian-Sheng Hua

[pdf] [supp]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Tianyu and Shen, Xu and Huang, Jianqiang and Chen, Zhibo and Hua, Xian-Sheng}, title = {Partial Person Re-Identification With Part-Part Correspondence Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9105-9115} }

Monte Carlo Scene Search for 3D Scene Understanding

Shreyas Hampali,

Sinisa Stekovic,

Sayan Deb Sarkar,

Chetan S. Kumar,

Friedrich Fraundorfer,

Vincent Lepetit

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hampali_2021_CVPR, author = {Hampali, Shreyas and Stekovic, Sinisa and Sarkar, Sayan Deb and Kumar, Chetan S. and Fraundorfer, Friedrich and Lepetit, Vincent}, title = {Monte Carlo Scene Search for 3D Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13804-13813} }

Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck

Anguo Zhang,

Yueming Gao,

Yuzhen Niu,

Wenxi Liu,

Yongcheng Zhou

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Anguo and Gao, Yueming and Niu, Yuzhen and Liu, Wenxi and Zhou, Yongcheng}, title = {Coarse-To-Fine Person Re-Identification With Auxiliary-Domain Classification and Second-Order Information Bottleneck}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {598-607} }

Transformer Tracking

Xin Chen,

Bin Yan,

Jiawen Zhu,

Dong Wang,

Xiaoyun Yang,

Huchuan Lu

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Xin and Yan, Bin and Zhu, Jiawen and Wang, Dong and Yang, Xiaoyun and Lu, Huchuan}, title = {Transformer Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8126-8135} }

Structured Multi-Level Interaction Network for Video Moment Localization via Language Query

Hao Wang,

Zheng-Jun Zha,

Liang Li,

Dong Liu,

Jiebo Luo

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Hao and Zha, Zheng-Jun and Li, Liang and Liu, Dong and Luo, Jiebo}, title = {Structured Multi-Level Interaction Network for Video Moment Localization via Language Query}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7026-7035} }

Structured Scene Memory for Vision-Language Navigation

Hanqing Wang,

Wenguan Wang,

Wei Liang,

Caiming Xiong,

Jianbing Shen

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Hanqing and Wang, Wenguan and Liang, Wei and Xiong, Caiming and Shen, Jianbing}, title = {Structured Scene Memory for Vision-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8455-8464} }

Unsupervised Pre-Training for Person Re-Identification

Dengpan Fu,

Dongdong Chen,

Jianmin Bao,

Hao Yang,

Lu Yuan,

Lei Zhang,

Houqiang Li,

Dong Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Dengpan and Chen, Dongdong and Bao, Jianmin and Yang, Hao and Yuan, Lu and Zhang, Lei and Li, Houqiang and Chen, Dong}, title = {Unsupervised Pre-Training for Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14750-14759} }

Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement

Zefan Li,

Chenxi Liu,

Alan Yuille,

Bingbing Ni,

Wenjun Zhang,

Wen Gao

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Zefan and Liu, Chenxi and Yuille, Alan and Ni, Bingbing and Zhang, Wenjun and Gao, Wen}, title = {Progressive Stage-Wise Learning for Unsupervised Feature Representation Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9767-9776} }

Domain-Specific Suppression for Adaptive Object Detection

Yu Wang,

Rui Zhang,

Shuo Zhang,

Miao Li,

Yangyang Xia,

Xishan Zhang,

Shaoli Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Yu and Zhang, Rui and Zhang, Shuo and Li, Miao and Xia, Yangyang and Zhang, Xishan and Liu, Shaoli}, title = {Domain-Specific Suppression for Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9603-9612} }

Few-Shot Object Detection via Classification Refinement and Distractor Retreatment

Yiting Li,

Haiyue Zhu,

Yu Cheng,

Wenxin Wang,

Chek Sing Teo,

Cheng Xiang,

Prahlad Vadakkepat,

Tong Heng Lee

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Yiting and Zhu, Haiyue and Cheng, Yu and Wang, Wenxin and Teo, Chek Sing and Xiang, Cheng and Vadakkepat, Prahlad and Lee, Tong Heng}, title = {Few-Shot Object Detection via Classification Refinement and Distractor Retreatment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15395-15403} }

D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images

Manyi Li,

Hao Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Manyi and Zhang, Hao}, title = {D2IM-Net: Learning Detail Disentangled Implicit Fields From Single Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10246-10255} }

Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction

Daejin Kim,

Mohammad Azam Khan,

Jaegul Choo

[pdf]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Daejin and Khan, Mohammad Azam and Choo, Jaegul}, title = {Not Just Compete, but Collaborate: Local Image-to-Image Translation via Cooperative Mask Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6509-6518} }

Behavior-Driven Synthesis of Human Dynamics

Andreas Blattmann,

Timo Milbich,

Michael Dorkenwald,

Bjorn Ommer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Blattmann_2021_CVPR, author = {Blattmann, Andreas and Milbich, Timo and Dorkenwald, Michael and Ommer, Bjorn}, title = {Behavior-Driven Synthesis of Human Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12236-12246} }

GAIA: A Transfer Learning System of Object Detection That Fits Your Needs

Xingyuan Bu,

Junran Peng,

Junjie Yan,

Tieniu Tan,

Zhaoxiang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bu_2021_CVPR, author = {Bu, Xingyuan and Peng, Junran and Yan, Junjie and Tan, Tieniu and Zhang, Zhaoxiang}, title = {GAIA: A Transfer Learning System of Object Detection That Fits Your Needs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {274-283} }

IronMask: Modular Architecture for Protecting Deep Face Template

Sunpill Kim,

Yunseong Jeong,

Jinsu Kim,

Jungkon Kim,

Hyung Tae Lee,

Jae Hong Seo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Sunpill and Jeong, Yunseong and Kim, Jinsu and Kim, Jungkon and Lee, Hyung Tae and Seo, Jae Hong}, title = {IronMask: Modular Architecture for Protecting Deep Face Template}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16125-16134} }

Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild

Zhaoyuan Yin,

Jia Zheng,

Weixin Luo,

Shenhan Qian,

Hanling Zhang,

Shenghua Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yin_2021_CVPR, author = {Yin, Zhaoyuan and Zheng, Jia and Luo, Weixin and Qian, Shenhan and Zhang, Hanling and Gao, Shenghua}, title = {Learning To Recommend Frame for Interactive Video Object Segmentation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15445-15454} }

DSRNA: Differentiable Search of Robust Neural Architectures

Ramtin Hosseini,

Xingyi Yang,

Pengtao Xie

[pdf] [arXiv]

[bibtex]

@InProceedings{Hosseini_2021_CVPR, author = {Hosseini, Ramtin and Yang, Xingyi and Xie, Pengtao}, title = {DSRNA: Differentiable Search of Robust Neural Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6196-6205} }

Reconstructing 3D Human Pose by Watching Humans in the Mirror

Qi Fang,

Qing Shuai,

Junting Dong,

Hujun Bao,

Xiaowei Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Fang_2021_CVPR, author = {Fang, Qi and Shuai, Qing and Dong, Junting and Bao, Hujun and Zhou, Xiaowei}, title = {Reconstructing 3D Human Pose by Watching Humans in the Mirror}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12814-12823} }

Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream

Jing Zhao,

Ruiqin Xiong,

Hangfan Liu,

Jian Zhang,

Tiejun Huang

[pdf] [supp]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Jing and Xiong, Ruiqin and Liu, Hangfan and Zhang, Jian and Huang, Tiejun}, title = {Spk2ImgNet: Learning To Reconstruct Dynamic Scene From Continuous Spike Stream}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11996-12005} }

MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation

Hansheng Chen,

Yuyao Huang,

Wei Tian,

Zhong Gao,

Lu Xiong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Hansheng and Huang, Yuyao and Tian, Wei and Gao, Zhong and Xiong, Lu}, title = {MonoRUn: Monocular 3D Object Detection by Reconstruction and Uncertainty Propagation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10379-10388} }

Complete & Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds

Li Yi,

Boqing Gong,

Thomas Funkhouser

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yi_2021_CVPR, author = {Yi, Li and Gong, Boqing and Funkhouser, Thomas}, title = {Complete \& Label: A Domain Adaptation Approach to Semantic Segmentation of LiDAR Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15363-15373} }

GMOT-40: A Benchmark for Generic Multiple Object Tracking

Hexin Bai,

Wensheng Cheng,

Peng Chu,

Juehuan Liu,

Kai Zhang,

Haibin Ling

[pdf] [supp]

[bibtex]

@InProceedings{Bai_2021_CVPR, author = {Bai, Hexin and Cheng, Wensheng and Chu, Peng and Liu, Juehuan and Zhang, Kai and Ling, Haibin}, title = {GMOT-40: A Benchmark for Generic Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6719-6728} }

Few-Shot Image Generation via Cross-Domain Correspondence

Utkarsh Ojha,

Yijun Li,

Jingwan Lu,

Alexei A. Efros,

Yong Jae Lee,

Eli Shechtman,

Richard Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ojha_2021_CVPR, author = {Ojha, Utkarsh and Li, Yijun and Lu, Jingwan and Efros, Alexei A. and Lee, Yong Jae and Shechtman, Eli and Zhang, Richard}, title = {Few-Shot Image Generation via Cross-Domain Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10743-10752} }

Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation

Tommi Kerola,

Jie Li,

Atsushi Kanehira,

Yasunori Kudo,

Alexis Vallet,

Adrien Gaidon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kerola_2021_CVPR, author = {Kerola, Tommi and Li, Jie and Kanehira, Atsushi and Kudo, Yasunori and Vallet, Alexis and Gaidon, Adrien}, title = {Hierarchical Lovasz Embeddings for Proposal-Free Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14413-14423} }

Neural Body: Implicit Neural Representations With Structured Latent Codes for Novel View Synthesis of Dynamic Humans

Sida Peng,

Yuanqing Zhang,

Yinghao Xu,

Qianqian Wang,

Qing Shuai,

Hujun Bao,

Xiaowei Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Peng_2021_CVPR, author = {Peng, Sida and Zhang, Yuanqing and Xu, Yinghao and Wang, Qianqian and Shuai, Qing and Bao, Hujun and Zhou, Xiaowei}, title = {Neural Body: Implicit Neural Representations With Structured Latent Codes for Novel View Synthesis of Dynamic Humans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9054-9063} }

Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting

Lingbo Liu,

Jiaqi Chen,

Hefeng Wu,

Guanbin Li,

Chenglong Li,

Liang Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Lingbo and Chen, Jiaqi and Wu, Hefeng and Li, Guanbin and Li, Chenglong and Lin, Liang}, title = {Cross-Modal Collaborative Representation Learning and a Large-Scale RGBT Benchmark for Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4823-4833} }

Weakly Supervised Video Salient Object Detection

Wangbo Zhao,

Jing Zhang,

Long Li,

Nick Barnes,

Nian Liu,

Junwei Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Wangbo and Zhang, Jing and Li, Long and Barnes, Nick and Liu, Nian and Han, Junwei}, title = {Weakly Supervised Video Salient Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16826-16835} }

Pixel-Wise Anomaly Detection in Complex Driving Scenes

Giancarlo Di Biase,

Hermann Blum,

Roland Siegwart,

Cesar Cadena

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Di_Biase_2021_CVPR, author = {Di Biase, Giancarlo and Blum, Hermann and Siegwart, Roland and Cadena, Cesar}, title = {Pixel-Wise Anomaly Detection in Complex Driving Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16918-16927} }

Learning To Associate Every Segment for Video Panoptic Segmentation

Sanghyun Woo,

Dahun Kim,

Joon-Young Lee,

In So Kweon

[pdf] [arXiv]

[bibtex]

@InProceedings{Woo_2021_CVPR, author = {Woo, Sanghyun and Kim, Dahun and Lee, Joon-Young and Kweon, In So}, title = {Learning To Associate Every Segment for Video Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2705-2714} }

Variational Transformer Networks for Layout Generation

Diego Martin Arroyo,

Janis Postels,

Federico Tombari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Arroyo_2021_CVPR, author = {Arroyo, Diego Martin and Postels, Janis and Tombari, Federico}, title = {Variational Transformer Networks for Layout Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13642-13652} }

Mitigating Face Recognition Bias via Group Adaptive Classifier

Sixue Gong,

Xiaoming Liu,

Anil K. Jain

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gong_2021_CVPR, author = {Gong, Sixue and Liu, Xiaoming and Jain, Anil K.}, title = {Mitigating Face Recognition Bias via Group Adaptive Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3414-3424} }

A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts

Yunhao Ge,

Yao Xiao,

Zhi Xu,

Meng Zheng,

Srikrishna Karanam,

Terrence Chen,

Laurent Itti,

Ziyan Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ge_2021_CVPR, author = {Ge, Yunhao and Xiao, Yao and Xu, Zhi and Zheng, Meng and Karanam, Srikrishna and Chen, Terrence and Itti, Laurent and Wu, Ziyan}, title = {A Peek Into the Reasoning of Neural Networks: Interpreting With Structural Visual Concepts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2195-2204} }

Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations

Zhihui Li,

Lina Yao

[pdf]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Zhihui and Yao, Lina}, title = {Three Birds with One Stone: Multi-Task Temporal Action Detection via Recycling Temporal Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4751-4760} }

A Dual Iterative Refinement Method for Non-Rigid Shape Matching

Rui Xiang,

Rongjie Lai,

Hongkai Zhao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xiang_2021_CVPR, author = {Xiang, Rui and Lai, Rongjie and Zhao, Hongkai}, title = {A Dual Iterative Refinement Method for Non-Rigid Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15930-15939} }

Image Super-Resolution With Non-Local Sparse Attention

Yiqun Mei,

Yuchen Fan,

Yuqian Zhou

[pdf] [supp]

[bibtex]

@InProceedings{Mei_2021_CVPR, author = {Mei, Yiqun and Fan, Yuchen and Zhou, Yuqian}, title = {Image Super-Resolution With Non-Local Sparse Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3517-3526} }

3D Video Stabilization With Depth Estimation by CNN-Based Optimization

Yao-Chih Lee,

Kuan-Wei Tseng,

Yu-Ta Chen,

Chien-Cheng Chen,

Chu-Song Chen,

Yi-Ping Hung

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Yao-Chih and Tseng, Kuan-Wei and Chen, Yu-Ta and Chen, Chien-Cheng and Chen, Chu-Song and Hung, Yi-Ping}, title = {3D Video Stabilization With Depth Estimation by CNN-Based Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10621-10630} }

Predicting Human Scanpaths in Visual Question Answering

Xianyu Chen,

Ming Jiang,

Qi Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Xianyu and Jiang, Ming and Zhao, Qi}, title = {Predicting Human Scanpaths in Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10876-10885} }

DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution

Siyuan Qiao,

Liang-Chieh Chen,

Alan Yuille

[pdf] [arXiv]

[bibtex]

@InProceedings{Qiao_2021_CVPR, author = {Qiao, Siyuan and Chen, Liang-Chieh and Yuille, Alan}, title = {DetectoRS: Detecting Objects With Recursive Feature Pyramid and Switchable Atrous Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10213-10224} }

SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks

Shunsuke Saito,

Jinlong Yang,

Qianli Ma,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saito_2021_CVPR, author = {Saito, Shunsuke and Yang, Jinlong and Ma, Qianli and Black, Michael J.}, title = {SCANimate: Weakly Supervised Learning of Skinned Clothed Avatar Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2886-2897} }

Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution

Hyungjun Kim,

Jihoon Park,

Changhun Lee,

Jae-Joon Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Hyungjun and Park, Jihoon and Lee, Changhun and Kim, Jae-Joon}, title = {Improving Accuracy of Binary Neural Networks Using Unbalanced Activation Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7862-7871} }

Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation

Xinge Zhu,

Hui Zhou,

Tai Wang,

Fangzhou Hong,

Yuexin Ma,

Wei Li,

Hongsheng Li,

Dahua Lin

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Xinge and Zhou, Hui and Wang, Tai and Hong, Fangzhou and Ma, Yuexin and Li, Wei and Li, Hongsheng and Lin, Dahua}, title = {Cylindrical and Asymmetrical 3D Convolution Networks for LiDAR Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9939-9948} }

SMPLicit: Topology-Aware Generative Model for Clothed People

Enric Corona,

Albert Pumarola,

Guillem Alenya,

Gerard Pons-Moll,

Francesc Moreno-Noguer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Corona_2021_CVPR, author = {Corona, Enric and Pumarola, Albert and Alenya, Guillem and Pons-Moll, Gerard and Moreno-Noguer, Francesc}, title = {SMPLicit: Topology-Aware Generative Model for Clothed People}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11875-11885} }

Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization

Long Zhao,

Yuxiao Wang,

Jiaping Zhao,

Liangzhe Yuan,

Jennifer J. Sun,

Florian Schroff,

Hartwig Adam,

Xi Peng,

Dimitris Metaxas,

Ting Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Long and Wang, Yuxiao and Zhao, Jiaping and Yuan, Liangzhe and Sun, Jennifer J. and Schroff, Florian and Adam, Hartwig and Peng, Xi and Metaxas, Dimitris and Liu, Ting}, title = {Learning View-Disentangled Human Pose Representation by Contrastive Cross-View Mutual Information Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12793-12802} }

Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation

Yazhou Yao,

Tao Chen,

Guo-Sen Xie,

Chuanyi Zhang,

Fumin Shen,

Qi Wu,

Zhenmin Tang,

Jian Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Yao_2021_CVPR, author = {Yao, Yazhou and Chen, Tao and Xie, Guo-Sen and Zhang, Chuanyi and Shen, Fumin and Wu, Qi and Tang, Zhenmin and Zhang, Jian}, title = {Non-Salient Region Object Mining for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2623-2632} }

DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation

Xing Shen,

Jirui Yang,

Chunbo Wei,

Bing Deng,

Jianqiang Huang,

Xian-Sheng Hua,

Xiaoliang Cheng,

Kewei Liang

[pdf]

[bibtex]

@InProceedings{Shen_2021_CVPR, author = {Shen, Xing and Yang, Jirui and Wei, Chunbo and Deng, Bing and Huang, Jianqiang and Hua, Xian-Sheng and Cheng, Xiaoliang and Liang, Kewei}, title = {DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8720-8729} }

Bridging the Visual Gap: Wide-Range Image Blending

Chia-Ni Lu,

Ya-Chu Chang,

Wei-Chen Chiu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Chia-Ni and Chang, Ya-Chu and Chiu, Wei-Chen}, title = {Bridging the Visual Gap: Wide-Range Image Blending}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {843-851} }

A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification

Jong-Chyi Su,

Zezhou Cheng,

Subhransu Maji

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Su_2021_CVPR, author = {Su, Jong-Chyi and Cheng, Zezhou and Maji, Subhransu}, title = {A Realistic Evaluation of Semi-Supervised Learning for Fine-Grained Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12966-12975} }

Residential Floor Plan Recognition and Reconstruction

Xiaolei Lv,

Shengchu Zhao,

Xinyang Yu,

Binqiang Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Lv_2021_CVPR, author = {Lv, Xiaolei and Zhao, Shengchu and Yu, Xinyang and Zhao, Binqiang}, title = {Residential Floor Plan Recognition and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16717-16726} }

Dynamic Domain Adaptation for Efficient Inference

Shuang Li,

JinMing Zhang,

Wenxuan Ma,

Chi Harold Liu,

Wei Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Shuang and Zhang, JinMing and Ma, Wenxuan and Liu, Chi Harold and Li, Wei}, title = {Dynamic Domain Adaptation for Efficient Inference}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7832-7841} }

Regularization Strategy for Point Cloud via Rigidly Mixed Sample

Dogyoon Lee,

Jaeha Lee,

Junhyeop Lee,

Hyeongmin Lee,

Minhyeok Lee,

Sungmin Woo,

Sangyoun Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Dogyoon and Lee, Jaeha and Lee, Junhyeop and Lee, Hyeongmin and Lee, Minhyeok and Woo, Sungmin and Lee, Sangyoun}, title = {Regularization Strategy for Point Cloud via Rigidly Mixed Sample}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15900-15909} }

StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision

Yang Hong,

Juyong Zhang,

Boyi Jiang,

Yudong Guo,

Ligang Liu,

Hujun Bao

[pdf] [arXiv]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Yang and Zhang, Juyong and Jiang, Boyi and Guo, Yudong and Liu, Ligang and Bao, Hujun}, title = {StereoPIFu: Depth Aware Clothed Human Digitization via Stereo Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {535-545} }

Unsupervised Multi-Source Domain Adaptation Without Access to Source Data

Sk Miraj Ahmed,

Dripta S. Raychaudhuri,

Sujoy Paul,

Samet Oymak,

Amit K. Roy-Chowdhury

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ahmed_2021_CVPR, author = {Ahmed, Sk Miraj and Raychaudhuri, Dripta S. and Paul, Sujoy and Oymak, Samet and Roy-Chowdhury, Amit K.}, title = {Unsupervised Multi-Source Domain Adaptation Without Access to Source Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10103-10112} }

On Semantic Similarity in Video Retrieval

Michael Wray,

Hazel Doughty,

Dima Damen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wray_2021_CVPR, author = {Wray, Michael and Doughty, Hazel and Damen, Dima}, title = {On Semantic Similarity in Video Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3650-3660} }

Few-Shot Open-Set Recognition by Transformation Consistency

Minki Jeong,

Seokeon Choi,

Changick Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jeong_2021_CVPR, author = {Jeong, Minki and Choi, Seokeon and Kim, Changick}, title = {Few-Shot Open-Set Recognition by Transformation Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12566-12575} }

Uncertainty-Guided Model Generalization to Unseen Domains

Fengchun Qiao,

Xi Peng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qiao_2021_CVPR, author = {Qiao, Fengchun and Peng, Xi}, title = {Uncertainty-Guided Model Generalization to Unseen Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6790-6800} }

Debiased Subjective Assessment of Real-World Image Enhancement

Peibei Cao,

Zhangyang Wang,

Kede Ma

[pdf] [arXiv]

[bibtex]

@InProceedings{Cao_2021_CVPR, author = {Cao, Peibei and Wang, Zhangyang and Ma, Kede}, title = {Debiased Subjective Assessment of Real-World Image Enhancement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {711-721} }

Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

Kaicheng Yu,

Rene Ranftl,

Mathieu Salzmann

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Kaicheng and Ranftl, Rene and Salzmann, Mathieu}, title = {Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13723-13732} }

Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection

Chang Liu,

Han Yu,

Boyang Li,

Zhiqi Shen,

Zhanning Gao,

Peiran Ren,

Xuansong Xie,

Lizhen Cui,

Chunyan Miao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Chang and Yu, Han and Li, Boyang and Shen, Zhiqi and Gao, Zhanning and Ren, Peiran and Xie, Xuansong and Cui, Lizhen and Miao, Chunyan}, title = {Noise-Resistant Deep Metric Learning With Ranking-Based Instance Selection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6811-6820} }

Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation

Hugo Germain,

Vincent Lepetit,

Guillaume Bourmaud

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Germain_2021_CVPR, author = {Germain, Hugo and Lepetit, Vincent and Bourmaud, Guillaume}, title = {Neural Reprojection Error: Merging Feature Learning and Camera Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {414-423} }

Cross Modal Focal Loss for RGBD Face Anti-Spoofing

Anjith George,

Sebastien Marcel

[pdf] [arXiv]

[bibtex]

@InProceedings{George_2021_CVPR, author = {George, Anjith and Marcel, Sebastien}, title = {Cross Modal Focal Loss for RGBD Face Anti-Spoofing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7882-7891} }

StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks

Kai Fischer,

Martin Simon,

Florian Olsner,

Stefan Milz,

Horst-Michael Gross,

Patrick Mader

[pdf]

[bibtex]

@InProceedings{Fischer_2021_CVPR, author = {Fischer, Kai and Simon, Martin and Olsner, Florian and Milz, Stefan and Gross, Horst-Michael and Mader, Patrick}, title = {StickyPillars: Robust and Efficient Feature Matching on Point Clouds Using Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {313-323} }

HoHoNet: 360 Indoor Holistic Understanding With Latent Horizontal Features

Cheng Sun,

Min Sun,

Hwann-Tzong Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Cheng and Sun, Min and Chen, Hwann-Tzong}, title = {HoHoNet: 360 Indoor Holistic Understanding With Latent Horizontal Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2573-2582} }

Online Learning of a Probabilistic and Adaptive Scene Representation

Zike Yan,

Xin Wang,

Hongbin Zha

[pdf] [arXiv]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Zike and Wang, Xin and Zha, Hongbin}, title = {Online Learning of a Probabilistic and Adaptive Scene Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13111-13121} }

Domain Adaptation With Auxiliary Target Domain-Oriented Classifier

Jian Liang,

Dapeng Hu,

Jiashi Feng

[pdf] [arXiv]

[bibtex]

@InProceedings{Liang_2021_CVPR, author = {Liang, Jian and Hu, Dapeng and Feng, Jiashi}, title = {Domain Adaptation With Auxiliary Target Domain-Oriented Classifier}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16632-16642} }

Learning To Recover 3D Scene Shape From a Single Image

Wei Yin,

Jianming Zhang,

Oliver Wang,

Simon Niklaus,

Long Mai,

Simon Chen,

Chunhua Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yin_2021_CVPR, author = {Yin, Wei and Zhang, Jianming and Wang, Oliver and Niklaus, Simon and Mai, Long and Chen, Simon and Shen, Chunhua}, title = {Learning To Recover 3D Scene Shape From a Single Image}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {204-213} }

Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes

Zhengqi Li,

Simon Niklaus,

Noah Snavely,

Oliver Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Zhengqi and Niklaus, Simon and Snavely, Noah and Wang, Oliver}, title = {Neural Scene Flow Fields for Space-Time View Synthesis of Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6498-6508} }

FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism

Wei Chen,

Xi Jia,

Hyung Jin Chang,

Jinming Duan,

Linlin Shen,

Ales Leonardis

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Wei and Jia, Xi and Chang, Hyung Jin and Duan, Jinming and Shen, Linlin and Leonardis, Ales}, title = {FS-Net: Fast Shape-Based Network for Category-Level 6D Object Pose Estimation With Decoupled Rotation Mechanism}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1581-1590} }

Unsupervised Human Pose Estimation Through Transforming Shape Templates

Luca Schmidtke,

Athanasios Vlontzos,

Simon Ellershaw,

Anna Lukens,

Tomoki Arichi,

Bernhard Kainz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Schmidtke_2021_CVPR, author = {Schmidtke, Luca and Vlontzos, Athanasios and Ellershaw, Simon and Lukens, Anna and Arichi, Tomoki and Kainz, Bernhard}, title = {Unsupervised Human Pose Estimation Through Transforming Shape Templates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2484-2494} }

Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship

Jing Wang,

Jinhui Tang,

Mingkun Yang,

Xiang Bai,

Jiebo Luo

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jing and Tang, Jinhui and Yang, Mingkun and Bai, Xiang and Luo, Jiebo}, title = {Improving OCR-Based Image Captioning by Incorporating Geometrical Relationship}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1306-1315} }

Cross-Iteration Batch Normalization

Zhuliang Yao,

Yue Cao,

Shuxin Zheng,

Gao Huang,

Stephen Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yao_2021_CVPR, author = {Yao, Zhuliang and Cao, Yue and Zheng, Shuxin and Huang, Gao and Lin, Stephen}, title = {Cross-Iteration Batch Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12331-12340} }

Multimodal Contrastive Training for Visual Representation Learning

Xin Yuan,

Zhe Lin,

Jason Kuen,

Jianming Zhang,

Yilin Wang,

Michael Maire,

Ajinkya Kale,

Baldo Faieta

[pdf] [arXiv]

[bibtex]

@InProceedings{Yuan_2021_CVPR, author = {Yuan, Xin and Lin, Zhe and Kuen, Jason and Zhang, Jianming and Wang, Yilin and Maire, Michael and Kale, Ajinkya and Faieta, Baldo}, title = {Multimodal Contrastive Training for Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6995-7004} }

3D Shape Generation With Grid-Based Implicit Functions

Moritz Ibing,

Isaak Lim,

Leif Kobbelt

[pdf] [supp]

[bibtex]

@InProceedings{Ibing_2021_CVPR, author = {Ibing, Moritz and Lim, Isaak and Kobbelt, Leif}, title = {3D Shape Generation With Grid-Based Implicit Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13559-13568} }

Tangent Space Backpropagation for 3D Transformation Groups

Zachary Teed,

Jia Deng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Teed_2021_CVPR, author = {Teed, Zachary and Deng, Jia}, title = {Tangent Space Backpropagation for 3D Transformation Groups}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10338-10347} }

FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation

Sijin Wang,

Ziwei Yao,

Ruiping Wang,

Zhongqin Wu,

Xilin Chen

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Sijin and Yao, Ziwei and Wang, Ruiping and Wu, Zhongqin and Chen, Xilin}, title = {FAIEr: Fidelity and Adequacy Ensured Image Caption Evaluation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14050-14059} }

HLA-Face: Joint High-Low Adaptation for Low Light Face Detection

Wenjing Wang,

Wenhan Yang,

Jiaying Liu

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Wenjing and Yang, Wenhan and Liu, Jiaying}, title = {HLA-Face: Joint High-Low Adaptation for Low Light Face Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16195-16204} }

Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions

Navaneeth Bodla,

Gaurav Shrivastava,

Rama Chellappa,

Abhinav Shrivastava

[pdf] [supp]

[bibtex]

@InProceedings{Bodla_2021_CVPR, author = {Bodla, Navaneeth and Shrivastava, Gaurav and Chellappa, Rama and Shrivastava, Abhinav}, title = {Hierarchical Video Prediction Using Relational Layouts for Human-Object Interactions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12146-12155} }

From Rain Generation to Rain Removal

Hong Wang,

Zongsheng Yue,

Qi Xie,

Qian Zhao,

Yefeng Zheng,

Deyu Meng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Hong and Yue, Zongsheng and Xie, Qi and Zhao, Qian and Zheng, Yefeng and Meng, Deyu}, title = {From Rain Generation to Rain Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14791-14801} }

Few-Shot Classification With Feature Map Reconstruction Networks

Davis Wertheimer,

Luming Tang,

Bharath Hariharan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wertheimer_2021_CVPR, author = {Wertheimer, Davis and Tang, Luming and Hariharan, Bharath}, title = {Few-Shot Classification With Feature Map Reconstruction Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8012-8021} }

Object Classification From Randomized EEG Trials

Hamad Ahmed,

Ronnie B. Wilbur,

Hari M. Bharadwaj,

Jeffrey Mark Siskind

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ahmed_2021_CVPR, author = {Ahmed, Hamad and Wilbur, Ronnie B. and Bharadwaj, Hari M. and Siskind, Jeffrey Mark}, title = {Object Classification From Randomized EEG Trials}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3845-3854} }

Learning Monocular 3D Reconstruction of Articulated Categories From Motion

Filippos Kokkinos,

Iasonas Kokkinos

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kokkinos_2021_CVPR, author = {Kokkinos, Filippos and Kokkinos, Iasonas}, title = {Learning Monocular 3D Reconstruction of Articulated Categories From Motion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1737-1746} }

De-Rendering the World's Revolutionary Artefacts

Shangzhe Wu,

Ameesh Makadia,

Jiajun Wu,

Noah Snavely,

Richard Tucker,

Angjoo Kanazawa

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Shangzhe and Makadia, Ameesh and Wu, Jiajun and Snavely, Noah and Tucker, Richard and Kanazawa, Angjoo}, title = {De-Rendering the World's Revolutionary Artefacts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6338-6347} }

Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow

Shangrong Yang,

Chunyu Lin,

Kang Liao,

Chunjie Zhang,

Yao Zhao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Shangrong and Lin, Chunyu and Liao, Kang and Zhang, Chunjie and Zhao, Yao}, title = {Progressively Complementary Network for Fisheye Image Rectification Using Appearance Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6348-6357} }

DECOR-GAN: 3D Shape Detailization by Conditional Refinement

Zhiqin Chen,

Vladimir G. Kim,

Matthew Fisher,

Noam Aigerman,

Hao Zhang,

Siddhartha Chaudhuri

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zhiqin and Kim, Vladimir G. and Fisher, Matthew and Aigerman, Noam and Zhang, Hao and Chaudhuri, Siddhartha}, title = {DECOR-GAN: 3D Shape Detailization by Conditional Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15740-15749} }

Model-Aware Gesture-to-Gesture Translation

Hezhen Hu,

Weilun Wang,

Wengang Zhou,

Weichao Zhao,

Houqiang Li

[pdf]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Hezhen and Wang, Weilun and Zhou, Wengang and Zhao, Weichao and Li, Houqiang}, title = {Model-Aware Gesture-to-Gesture Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16428-16437} }

Spatio-temporal Contrastive Domain Adaptation for Action Recognition

Xiaolin Song,

Sicheng Zhao,

Jingyu Yang,

Huanjing Yue,

Pengfei Xu,

Runbo Hu,

Hua Chai

[pdf] [supp]

[bibtex]

@InProceedings{Song_2021_CVPR, author = {Song, Xiaolin and Zhao, Sicheng and Yang, Jingyu and Yue, Huanjing and Xu, Pengfei and Hu, Runbo and Chai, Hua}, title = {Spatio-temporal Contrastive Domain Adaptation for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9787-9795} }

Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection

Huiyuan Yang,

Lijun Yin,

Yi Zhou,

Jiuxiang Gu

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Huiyuan and Yin, Lijun and Zhou, Yi and Gu, Jiuxiang}, title = {Exploiting Semantic Embedding and Visual Feature for Facial Action Unit Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10482-10491} }

Categorical Depth Distribution Network for Monocular 3D Object Detection

Cody Reading,

Ali Harakeh,

Julia Chae,

Steven L. Waslander

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Reading_2021_CVPR, author = {Reading, Cody and Harakeh, Ali and Chae, Julia and Waslander, Steven L.}, title = {Categorical Depth Distribution Network for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8555-8564} }

Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading

Sucheng Ren,

Yong Du,

Jianming Lv,

Guoqiang Han,

Shengfeng He

[pdf]

[bibtex]

@InProceedings{Ren_2021_CVPR, author = {Ren, Sucheng and Du, Yong and Lv, Jianming and Han, Guoqiang and He, Shengfeng}, title = {Learning From the Master: Distilling Cross-Modal Advanced Knowledge for Lip Reading}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13325-13333} }

Spatially-Varying Outdoor Lighting Estimation From Intrinsics

Yongjie Zhu,

Yinda Zhang,

Si Li,

Boxin Shi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Yongjie and Zhang, Yinda and Li, Si and Shi, Boxin}, title = {Spatially-Varying Outdoor Lighting Estimation From Intrinsics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12834-12842} }

VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization

Seunghwan Choi,

Sunghyun Park,

Minsoo Lee,

Jaegul Choo

[pdf] [supp]

[bibtex]

@InProceedings{Choi_2021_CVPR, author = {Choi, Seunghwan and Park, Sunghyun and Lee, Minsoo and Choo, Jaegul}, title = {VITON-HD: High-Resolution Virtual Try-On via Misalignment-Aware Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14131-14140} }

Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning

Zhuoran Zheng,

Wenqi Ren,

Xiaochun Cao,

Xiaobin Hu,

Tao Wang,

Fenglong Song,

Xiuyi Jia

[pdf]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Zhuoran and Ren, Wenqi and Cao, Xiaochun and Hu, Xiaobin and Wang, Tao and Song, Fenglong and Jia, Xiuyi}, title = {Ultra-High-Definition Image Dehazing via Multi-Guided Bilateral Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16185-16194} }

RankDetNet: Delving Into Ranking Constraints for Object Detection

Ji Liu,

Dong Li,

Rongzhang Zheng,

Lu Tian,

Yi Shan

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Ji and Li, Dong and Zheng, Rongzhang and Tian, Lu and Shan, Yi}, title = {RankDetNet: Delving Into Ranking Constraints for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {264-273} }

Back to the Feature: Learning Robust Camera Localization From Pixels To Pose

Paul-Edouard Sarlin,

Ajaykumar Unagar,

Mans Larsson,

Hugo Germain,

Carl Toft,

Viktor Larsson,

Marc Pollefeys,

Vincent Lepetit,

Lars Hammarstrand,

Fredrik Kahl,

Torsten Sattler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sarlin_2021_CVPR, author = {Sarlin, Paul-Edouard and Unagar, Ajaykumar and Larsson, Mans and Germain, Hugo and Toft, Carl and Larsson, Viktor and Pollefeys, Marc and Lepetit, Vincent and Hammarstrand, Lars and Kahl, Fredrik and Sattler, Torsten}, title = {Back to the Feature: Learning Robust Camera Localization From Pixels To Pose}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3247-3257} }

Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction

Jiapeng Tang,

Dan Xu,

Kui Jia,

Lei Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Jiapeng and Xu, Dan and Jia, Kui and Zhang, Lei}, title = {Learning Parallel Dense Correspondence From Spatio-Temporal Descriptors for Efficient and Robust 4D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6022-6031} }

Multi-Modal Fusion Transformer for End-to-End Autonomous Driving

Aditya Prakash,

Kashyap Chitta,

Andreas Geiger

[pdf] [arXiv]

[bibtex]

@InProceedings{Prakash_2021_CVPR, author = {Prakash, Aditya and Chitta, Kashyap and Geiger, Andreas}, title = {Multi-Modal Fusion Transformer for End-to-End Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7077-7087} }

LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search

Bin Yan,

Houwen Peng,

Kan Wu,

Dong Wang,

Jianlong Fu,

Huchuan Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Bin and Peng, Houwen and Wu, Kan and Wang, Dong and Fu, Jianlong and Lu, Huchuan}, title = {LightTrack: Finding Lightweight Neural Networks for Object Tracking via One-Shot Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15180-15189} }

Unsupervised Disentanglement of Linear-Encoded Facial Semantics

Yutong Zheng,

Yu-Kai Huang,

Ran Tao,

Zhiqiang Shen,

Marios Savvides

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Yutong and Huang, Yu-Kai and Tao, Ran and Shen, Zhiqiang and Savvides, Marios}, title = {Unsupervised Disentanglement of Linear-Encoded Facial Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3917-3926} }

Learning Position and Target Consistency for Memory-Based Video Object Segmentation

Li Hu,

Peng Zhang,

Bang Zhang,

Pan Pan,

Yinghui Xu,

Rong Jin

[pdf] [arXiv]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Li and Zhang, Peng and Zhang, Bang and Pan, Pan and Xu, Yinghui and Jin, Rong}, title = {Learning Position and Target Consistency for Memory-Based Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4144-4154} }

Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation

Pan Zhang,

Bo Zhang,

Ting Zhang,

Dong Chen,

Yong Wang,

Fang Wen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Pan and Zhang, Bo and Zhang, Ting and Chen, Dong and Wang, Yong and Wen, Fang}, title = {Prototypical Pseudo Label Denoising and Target Structure Learning for Domain Adaptive Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12414-12424} }

Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments

Zhihao Xia,

Michael Gharbi,

Federico Perazzi,

Kalyan Sunkavalli,

Ayan Chakrabarti

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xia_2021_CVPR, author = {Xia, Zhihao and Gharbi, Michael and Perazzi, Federico and Sunkavalli, Kalyan and Chakrabarti, Ayan}, title = {Deep Denoising of Flash and No-Flash Pairs for Photography in Low-Light Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2063-2072} }

Transformer Interpretability Beyond Attention Visualization

Hila Chefer,

Shir Gur,

Lior Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chefer_2021_CVPR, author = {Chefer, Hila and Gur, Shir and Wolf, Lior}, title = {Transformer Interpretability Beyond Attention Visualization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {782-791} }

Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach

Giang Truong,

Huu Le,

David Suter,

Erchuan Zhang,

Syed Zulqarnain Gilani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Truong_2021_CVPR, author = {Truong, Giang and Le, Huu and Suter, David and Zhang, Erchuan and Gilani, Syed Zulqarnain}, title = {Unsupervised Learning for Robust Fitting: A Reinforcement Learning Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10348-10357} }

Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training

Yunxuan Wei,

Shuhang Gu,

Yawei Li,

Radu Timofte,

Longcun Jin,

Hengjie Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2021_CVPR, author = {Wei, Yunxuan and Gu, Shuhang and Li, Yawei and Timofte, Radu and Jin, Longcun and Song, Hengjie}, title = {Unsupervised Real-World Image Super Resolution via Domain-Distance Aware Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13385-13394} }

Learning to Track Instances without Video Annotations

Yang Fu,

Sifei Liu,

Umar Iqbal,

Shalini De Mello,

Humphrey Shi,

Jan Kautz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Yang and Liu, Sifei and Iqbal, Umar and De Mello, Shalini and Shi, Humphrey and Kautz, Jan}, title = {Learning to Track Instances without Video Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8680-8689} }

Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination

Xudong Wang,

Ziwei Liu,

Stella X. Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xudong and Liu, Ziwei and Yu, Stella X.}, title = {Unsupervised Feature Learning by Cross-Level Instance-Group Discrimination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12586-12595} }

Representation Learning via Global Temporal Alignment and Cycle-Consistency

Isma Hadji,

Konstantinos G. Derpanis,

Allan D. Jepson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hadji_2021_CVPR, author = {Hadji, Isma and Derpanis, Konstantinos G. and Jepson, Allan D.}, title = {Representation Learning via Global Temporal Alignment and Cycle-Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11068-11077} }

Personalized Outfit Recommendation With Learnable Anchors

Zhi Lu,

Yang Hu,

Yan Chen,

Bing Zeng

[pdf] [supp]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Zhi and Hu, Yang and Chen, Yan and Zeng, Bing}, title = {Personalized Outfit Recommendation With Learnable Anchors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12722-12731} }

When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework

Zhizhong Huang,

Junping Zhang,

Hongming Shan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Zhizhong and Zhang, Junping and Shan, Hongming}, title = {When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7282-7291} }

Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking

Yiding Yang,

Zhou Ren,

Haoxiang Li,

Chunluan Zhou,

Xinchao Wang,

Gang Hua

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Yiding and Ren, Zhou and Li, Haoxiang and Zhou, Chunluan and Wang, Xinchao and Hua, Gang}, title = {Learning Dynamics via Graph Neural Networks for Human Pose Estimation and Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8074-8084} }

Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation

Yahui Liu,

Enver Sangineto,

Yajing Chen,

Linchao Bao,

Haoxian Zhang,

Nicu Sebe,

Bruno Lepri,

Wei Wang,

Marco De Nadai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yahui and Sangineto, Enver and Chen, Yajing and Bao, Linchao and Zhang, Haoxian and Sebe, Nicu and Lepri, Bruno and Wang, Wei and De Nadai, Marco}, title = {Smoothing the Disentangled Latent Style Space for Unsupervised Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10785-10794} }

Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion

Xiaoding Yuan,

Adam Kortylewski,

Yihong Sun,

Alan Yuille

[pdf] [arXiv]

[bibtex]

@InProceedings{Yuan_2021_CVPR, author = {Yuan, Xiaoding and Kortylewski, Adam and Sun, Yihong and Yuille, Alan}, title = {Robust Instance Segmentation Through Reasoning About Multi-Object Occlusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11141-11150} }

Architectural Adversarial Robustness: The Case for Deep Pursuit

George Cazenavette,

Calvin Murdock,

Simon Lucey

[pdf] [arXiv]

[bibtex]

@InProceedings{Cazenavette_2021_CVPR, author = {Cazenavette, George and Murdock, Calvin and Lucey, Simon}, title = {Architectural Adversarial Robustness: The Case for Deep Pursuit}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7150-7158} }

Multi-Scale Aligned Distillation for Low-Resolution Detection

Lu Qi,

Jason Kuen,

Jiuxiang Gu,

Zhe Lin,

Yi Wang,

Yukang Chen,

Yanwei Li,

Jiaya Jia

[pdf] [supp]

[bibtex]

@InProceedings{Qi_2021_CVPR, author = {Qi, Lu and Kuen, Jason and Gu, Jiuxiang and Lin, Zhe and Wang, Yi and Chen, Yukang and Li, Yanwei and Jia, Jiaya}, title = {Multi-Scale Aligned Distillation for Low-Resolution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14443-14453} }

Deep Active Surface Models

Udaranga Wickramasinghe,

Pascal Fua,

Graham Knott

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wickramasinghe_2021_CVPR, author = {Wickramasinghe, Udaranga and Fua, Pascal and Knott, Graham}, title = {Deep Active Surface Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11652-11661} }

Can We Characterize Tasks Without Labels or Features?

Bram Wallace,

Ziyang Wu,

Bharath Hariharan

[pdf] [supp]

[bibtex]

@InProceedings{Wallace_2021_CVPR, author = {Wallace, Bram and Wu, Ziyang and Hariharan, Bharath}, title = {Can We Characterize Tasks Without Labels or Features?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1245-1254} }

Scene Essence

Jiayan Qiu,

Yiding Yang,

Xinchao Wang,

Dacheng Tao

[pdf]

[bibtex]

@InProceedings{Qiu_2021_CVPR, author = {Qiu, Jiayan and Yang, Yiding and Wang, Xinchao and Tao, Dacheng}, title = {Scene Essence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8322-8333} }

Visual Room Rearrangement

Luca Weihs,

Matt Deitke,

Aniruddha Kembhavi,

Roozbeh Mottaghi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Weihs_2021_CVPR, author = {Weihs, Luca and Deitke, Matt and Kembhavi, Aniruddha and Mottaghi, Roozbeh}, title = {Visual Room Rearrangement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5922-5931} }

VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts

Matthew J. Vowels,

Necati Cihan Camgoz,

Richard Bowden

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Vowels_2021_CVPR, author = {Vowels, Matthew J. and Camgoz, Necati Cihan and Bowden, Richard}, title = {VDSM: Unsupervised Video Disentanglement With State-Space Modeling and Deep Mixtures of Experts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8176-8186} }

Rotation-Only Bundle Adjustment

Seong Hun Lee,

Javier Civera

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Seong Hun and Civera, Javier}, title = {Rotation-Only Bundle Adjustment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {424-433} }

Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations

Wolfgang Stammer,

Patrick Schramowski,

Kristian Kersting

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Stammer_2021_CVPR, author = {Stammer, Wolfgang and Schramowski, Patrick and Kersting, Kristian}, title = {Right for the Right Concept: Revising Neuro-Symbolic Concepts by Interacting With Their Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3619-3629} }

Polygonal Point Set Tracking

Gunhee Nam,

Miran Heo,

Seoung Wug Oh,

Joon-Young Lee,

Seon Joo Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nam_2021_CVPR, author = {Nam, Gunhee and Heo, Miran and Oh, Seoung Wug and Lee, Joon-Young and Kim, Seon Joo}, title = {Polygonal Point Set Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5569-5578} }

Deformed Implicit Field: Modeling 3D Shapes With Learned Dense Correspondence

Yu Deng,

Jiaolong Yang,

Xin Tong

[pdf] [arXiv]

[bibtex]

@InProceedings{Deng_2021_CVPR, author = {Deng, Yu and Yang, Jiaolong and Tong, Xin}, title = {Deformed Implicit Field: Modeling 3D Shapes With Learned Dense Correspondence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10286-10296} }

Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing

Wen Shen,

Zhihua Wei,

Shikun Huang,

Binbin Zhang,

Panyue Chen,

Ping Zhao,

Quanshi Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shen_2021_CVPR, author = {Shen, Wen and Wei, Zhihua and Huang, Shikun and Zhang, Binbin and Chen, Panyue and Zhao, Ping and Zhang, Quanshi}, title = {Verifiability and Predictability: Interpreting Utilities of Network Architectures for Point Cloud Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10703-10712} }

Tracking Pedestrian Heads in Dense Crowd

Ramana Sundararaman,

Cedric De Almeida Braga,

Eric Marchand,

Julien Pettre

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sundararaman_2021_CVPR, author = {Sundararaman, Ramana and De Almeida Braga, Cedric and Marchand, Eric and Pettre, Julien}, title = {Tracking Pedestrian Heads in Dense Crowd}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3865-3875} }

Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks

Francis Williams,

Matthew Trager,

Joan Bruna,

Denis Zorin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Williams_2021_CVPR, author = {Williams, Francis and Trager, Matthew and Bruna, Joan and Zorin, Denis}, title = {Neural Splines: Fitting 3D Surfaces With Infinitely-Wide Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9949-9958} }

Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation

Bin Yan,

Xinyu Zhang,

Dong Wang,

Huchuan Lu,

Xiaoyun Yang

[pdf]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Bin and Zhang, Xinyu and Wang, Dong and Lu, Huchuan and Yang, Xiaoyun}, title = {Alpha-Refine: Boosting Tracking Performance by Precise Bounding Box Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5289-5298} }

Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval

Yang Liu,

Qingchao Chen,

Samuel Albanie

[pdf]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yang and Chen, Qingchao and Albanie, Samuel}, title = {Adaptive Cross-Modal Prototypes for Cross-Domain Visual-Language Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14954-14964} }

Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts

Soravit Changpinyo,

Piyush Sharma,

Nan Ding,

Radu Soricut

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Changpinyo_2021_CVPR, author = {Changpinyo, Soravit and Sharma, Piyush and Ding, Nan and Soricut, Radu}, title = {Conceptual 12M: Pushing Web-Scale Image-Text Pre-Training To Recognize Long-Tail Visual Concepts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3558-3568} }

SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data

Jinwoo Kim,

Jaehoon Yoo,

Juho Lee,

Seunghoon Hong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Jinwoo and Yoo, Jaehoon and Lee, Juho and Hong, Seunghoon}, title = {SetVAE: Learning Hierarchical Composition for Generative Modeling of Set-Structured Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15059-15068} }

Few-Shot 3D Point Cloud Semantic Segmentation

Na Zhao,

Tat-Seng Chua,

Gim Hee Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Na and Chua, Tat-Seng and Lee, Gim Hee}, title = {Few-Shot 3D Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8873-8882} }

CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching

Zhelun Shen,

Yuchao Dai,

Zhibo Rao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shen_2021_CVPR, author = {Shen, Zhelun and Dai, Yuchao and Rao, Zhibo}, title = {CFNet: Cascade and Fused Cost Volume for Robust Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13906-13915} }

Adaptive Consistency Prior Based Deep Network for Image Denoising

Chao Ren,

Xiaohai He,

Chuncheng Wang,

Zhibo Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Ren_2021_CVPR, author = {Ren, Chao and He, Xiaohai and Wang, Chuncheng and Zhao, Zhibo}, title = {Adaptive Consistency Prior Based Deep Network for Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8596-8606} }

Topological Planning With Transformers for Vision-and-Language Navigation

Kevin Chen,

Junshen K. Chen,

Jo Chuang,

Marynel Vazquez,

Silvio Savarese

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Kevin and Chen, Junshen K. and Chuang, Jo and Vazquez, Marynel and Savarese, Silvio}, title = {Topological Planning With Transformers for Vision-and-Language Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11276-11286} }

FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation

Jaemin Na,

Heechul Jung,

Hyung Jin Chang,

Wonjun Hwang

[pdf] [arXiv]

[bibtex]

@InProceedings{Na_2021_CVPR, author = {Na, Jaemin and Jung, Heechul and Chang, Hyung Jin and Hwang, Wonjun}, title = {FixBi: Bridging Domain Spaces for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1094-1103} }

Generalized Few-Shot Object Detection Without Forgetting

Zhibo Fan,

Yuchen Ma,

Zeming Li,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2021_CVPR, author = {Fan, Zhibo and Ma, Yuchen and Li, Zeming and Sun, Jian}, title = {Generalized Few-Shot Object Detection Without Forgetting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4527-4536} }

Truly Shift-Invariant Convolutional Neural Networks

Anadi Chaman,

Ivan Dokmanic

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chaman_2021_CVPR, author = {Chaman, Anadi and Dokmanic, Ivan}, title = {Truly Shift-Invariant Convolutional Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3773-3783} }

Leveraging the Availability of Two Cameras for Illuminant Estimation

Abdelrahman Abdelhamed,

Abhijith Punnappurath,

Michael S. Brown

[pdf] [supp]

[bibtex]

@InProceedings{Abdelhamed_2021_CVPR, author = {Abdelhamed, Abdelrahman and Punnappurath, Abhijith and Brown, Michael S.}, title = {Leveraging the Availability of Two Cameras for Illuminant Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6637-6646} }

LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network

Fangzhou Hong,

Hui Zhou,

Xinge Zhu,

Hongsheng Li,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Fangzhou and Zhou, Hui and Zhu, Xinge and Li, Hongsheng and Liu, Ziwei}, title = {LiDAR-Based Panoptic Segmentation via Dynamic Shifting Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13090-13099} }

Towards Accurate 3D Human Motion Prediction From Incomplete Observations

Qiongjie Cui,

Huaijiang Sun

[pdf]

[bibtex]

@InProceedings{Cui_2021_CVPR, author = {Cui, Qiongjie and Sun, Huaijiang}, title = {Towards Accurate 3D Human Motion Prediction From Incomplete Observations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4801-4810} }

SiamMOT: Siamese Multi-Object Tracking

Bing Shuai,

Andrew Berneshawi,

Xinyu Li,

Davide Modolo,

Joseph Tighe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shuai_2021_CVPR, author = {Shuai, Bing and Berneshawi, Andrew and Li, Xinyu and Modolo, Davide and Tighe, Joseph}, title = {SiamMOT: Siamese Multi-Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12372-12382} }

Open-Book Video Captioning With Retrieve-Copy-Generate Network

Ziqi Zhang,

Zhongang Qi,

Chunfeng Yuan,

Ying Shan,

Bing Li,

Ying Deng,

Weiming Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Ziqi and Qi, Zhongang and Yuan, Chunfeng and Shan, Ying and Li, Bing and Deng, Ying and Hu, Weiming}, title = {Open-Book Video Captioning With Retrieve-Copy-Generate Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9837-9846} }

MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation

Tianxiang Ma,

Bo Peng,

Wei Wang,

Jing Dong

[pdf] [supp]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Tianxiang and Peng, Bo and Wang, Wei and Dong, Jing}, title = {MUST-GAN: Multi-Level Statistics Transfer for Self-Driven Person Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13622-13631} }

Learning Camera Localization via Dense Scene Matching

Shitao Tang,

Chengzhou Tang,

Rui Huang,

Siyu Zhu,

Ping Tan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Shitao and Tang, Chengzhou and Huang, Rui and Zhu, Siyu and Tan, Ping}, title = {Learning Camera Localization via Dense Scene Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1831-1841} }

SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance

Fu-Zhao Ou,

Xingyu Chen,

Ruixin Zhang,

Yuge Huang,

Shaoxin Li,

Jilin Li,

Yong Li,

Liujuan Cao,

Yuan-Gen Wang

[pdf]

[bibtex]

@InProceedings{Ou_2021_CVPR, author = {Ou, Fu-Zhao and Chen, Xingyu and Zhang, Ruixin and Huang, Yuge and Li, Shaoxin and Li, Jilin and Li, Yong and Cao, Liujuan and Wang, Yuan-Gen}, title = {SDD-FIQA: Unsupervised Face Image Quality Assessment With Similarity Distribution Distance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7670-7679} }

Self-Aligned Video Deraining With Transmission-Depth Consistency

Wending Yan,

Robby T. Tan,

Wenhan Yang,

Dengxin Dai

[pdf] [supp]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Wending and Tan, Robby T. and Yang, Wenhan and Dai, Dengxin}, title = {Self-Aligned Video Deraining With Transmission-Depth Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11966-11976} }

Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning

Kai Zhu,

Yang Cao,

Wei Zhai,

Jie Cheng,

Zheng-Jun Zha

[pdf]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Kai and Cao, Yang and Zhai, Wei and Cheng, Jie and Zha, Zheng-Jun}, title = {Self-Promoted Prototype Refinement for Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6801-6810} }

PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation

Tal Reiss,

Niv Cohen,

Liron Bergman,

Yedid Hoshen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Reiss_2021_CVPR, author = {Reiss, Tal and Cohen, Niv and Bergman, Liron and Hoshen, Yedid}, title = {PANDA: Adapting Pretrained Features for Anomaly Detection and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2806-2814} }

Towards Compact CNNs via Collaborative Compression

Yuchao Li,

Shaohui Lin,

Jianzhuang Liu,

Qixiang Ye,

Mengdi Wang,

Fei Chao,

Fan Yang,

Jincheng Ma,

Qi Tian,

Rongrong Ji

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Yuchao and Lin, Shaohui and Liu, Jianzhuang and Ye, Qixiang and Wang, Mengdi and Chao, Fei and Yang, Fan and Ma, Jincheng and Tian, Qi and Ji, Rongrong}, title = {Towards Compact CNNs via Collaborative Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6438-6447} }

Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding

Hao Zhou,

Chongyang Zhang,

Yan Luo,

Yanjun Chen,

Chuanping Hu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Hao and Zhang, Chongyang and Luo, Yan and Chen, Yanjun and Hu, Chuanping}, title = {Embracing Uncertainty: Decoupling and De-Bias for Robust Temporal Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8445-8454} }

Separating Skills and Concepts for Novel Visual Question Answering

Spencer Whitehead,

Hui Wu,

Heng Ji,

Rogerio Feris,

Kate Saenko

[pdf] [supp]

[bibtex]

@InProceedings{Whitehead_2021_CVPR, author = {Whitehead, Spencer and Wu, Hui and Ji, Heng and Feris, Rogerio and Saenko, Kate}, title = {Separating Skills and Concepts for Novel Visual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5632-5641} }

Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching

Shiyang Yan,

Li Yu,

Yuan Xie

[pdf] [arXiv]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Shiyang and Yu, Li and Xie, Yuan}, title = {Discrete-Continuous Action Space Policy Gradient-Based Attention for Image-Text Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8096-8105} }

Scalable Differential Privacy With Sparse Network Finetuning

Zelun Luo,

Daniel J. Wu,

Ehsan Adeli,

Li Fei-Fei

[pdf]

[bibtex]

@InProceedings{Luo_2021_CVPR, author = {Luo, Zelun and Wu, Daniel J. and Adeli, Ehsan and Fei-Fei, Li}, title = {Scalable Differential Privacy With Sparse Network Finetuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5059-5068} }

Video Object Segmentation Using Global and Instance Embedding Learning

Wenbin Ge,

Xiankai Lu,

Jianbing Shen

[pdf] [supp]

[bibtex]

@InProceedings{Ge_2021_CVPR, author = {Ge, Wenbin and Lu, Xiankai and Shen, Jianbing}, title = {Video Object Segmentation Using Global and Instance Embedding Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16836-16845} }

Scene Text Retrieval via Joint Text Detection and Similarity Learning

Hao Wang,

Xiang Bai,

Mingkun Yang,

Shenggao Zhu,

Jing Wang,

Wenyu Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Hao and Bai, Xiang and Yang, Mingkun and Zhu, Shenggao and Wang, Jing and Liu, Wenyu}, title = {Scene Text Retrieval via Joint Text Detection and Similarity Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4558-4567} }

Learning Continuous Image Representation With Local Implicit Image Function

Yinbo Chen,

Sifei Liu,

Xiaolong Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Yinbo and Liu, Sifei and Wang, Xiaolong}, title = {Learning Continuous Image Representation With Local Implicit Image Function}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8628-8638} }

Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration

Shaofei Wang,

Andreas Geiger,

Siyu Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Shaofei and Geiger, Andreas and Tang, Siyu}, title = {Locally Aware Piecewise Transformation Fields for 3D Human Mesh Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7639-7648} }

Graph Attention Tracking

Dongyan Guo,

Yanyan Shao,

Ying Cui,

Zhenhua Wang,

Liyan Zhang,

Chunhua Shen

[pdf] [arXiv]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Dongyan and Shao, Yanyan and Cui, Ying and Wang, Zhenhua and Zhang, Liyan and Shen, Chunhua}, title = {Graph Attention Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9543-9552} }

ReDet: A Rotation-Equivariant Detector for Aerial Object Detection

Jiaming Han,

Jian Ding,

Nan Xue,

Gui-Song Xia

[pdf] [arXiv]

[bibtex]

@InProceedings{Han_2021_CVPR, author = {Han, Jiaming and Ding, Jian and Xue, Nan and Xia, Gui-Song}, title = {ReDet: A Rotation-Equivariant Detector for Aerial Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2786-2795} }

Action Shuffle Alternating Learning for Unsupervised Action Segmentation

Jun Li,

Sinisa Todorovic

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Jun and Todorovic, Sinisa}, title = {Action Shuffle Alternating Learning for Unsupervised Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12628-12636} }

Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences

Fengmao Lv,

Xiang Chen,

Yanyong Huang,

Lixin Duan,

Guosheng Lin

[pdf]

[bibtex]

@InProceedings{Lv_2021_CVPR, author = {Lv, Fengmao and Chen, Xiang and Huang, Yanyong and Duan, Lixin and Lin, Guosheng}, title = {Progressive Modality Reinforcement for Human Multimodal Emotion Recognition From Unaligned Multimodal Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2554-2562} }

OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World

Zhun Zhong,

Linchao Zhu,

Zhiming Luo,

Shaozi Li,

Yi Yang,

Nicu Sebe

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhong_2021_CVPR, author = {Zhong, Zhun and Zhu, Linchao and Luo, Zhiming and Li, Shaozi and Yang, Yi and Sebe, Nicu}, title = {OpenMix: Reviving Known Knowledge for Discovering Novel Visual Categories in an Open World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9462-9470} }

Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings

Jaskirat Singh,

Liang Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singh_2021_CVPR, author = {Singh, Jaskirat and Zheng, Liang}, title = {Combining Semantic Guidance and Deep Reinforcement Learning for Generating Human Level Paintings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16387-16396} }

Event-Based Bispectral Photometry Using Temporally Modulated Illumination

Tsuyoshi Takatani,

Yuzuha Ito,

Ayaka Ebisu,

Yinqiang Zheng,

Takahito Aoto

[pdf] [supp]

[bibtex]

@InProceedings{Takatani_2021_CVPR, author = {Takatani, Tsuyoshi and Ito, Yuzuha and Ebisu, Ayaka and Zheng, Yinqiang and Aoto, Takahito}, title = {Event-Based Bispectral Photometry Using Temporally Modulated Illumination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15638-15647} }

LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection

Jin Fang,

Xinxin Zuo,

Dingfu Zhou,

Shengze Jin,

Sen Wang,

Liangjun Zhang

[pdf]

[bibtex]

@InProceedings{Fang_2021_CVPR, author = {Fang, Jin and Zuo, Xinxin and Zhou, Dingfu and Jin, Shengze and Wang, Sen and Zhang, Liangjun}, title = {LiDAR-Aug: A General Rendering-Based Augmentation Framework for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4710-4720} }

Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning

Ali Cheraghian,

Shafin Rahman,

Pengfei Fang,

Soumava Kumar Roy,

Lars Petersson,

Mehrtash Harandi

[pdf] [arXiv]

[bibtex]

@InProceedings{Cheraghian_2021_CVPR, author = {Cheraghian, Ali and Rahman, Shafin and Fang, Pengfei and Roy, Soumava Kumar and Petersson, Lars and Harandi, Mehrtash}, title = {Semantic-Aware Knowledge Distillation for Few-Shot Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2534-2543} }

General Instance Distillation for Object Detection

Xing Dai,

Zeren Jiang,

Zhao Wu,

Yiping Bao,

Zhicheng Wang,

Si Liu,

Erjin Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Xing and Jiang, Zeren and Wu, Zhao and Bao, Yiping and Wang, Zhicheng and Liu, Si and Zhou, Erjin}, title = {General Instance Distillation for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7842-7851} }

Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification

Fengxiang Yang,

Zhun Zhong,

Zhiming Luo,

Yuanzheng Cai,

Yaojin Lin,

Shaozi Li,

Nicu Sebe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Fengxiang and Zhong, Zhun and Luo, Zhiming and Cai, Yuanzheng and Lin, Yaojin and Li, Shaozi and Sebe, Nicu}, title = {Joint Noise-Tolerant Learning and Meta Camera Shift Adaptation for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4855-4864} }

Mutual Graph Learning for Camouflaged Object Detection

Qiang Zhai,

Xin Li,

Fan Yang,

Chenglizhao Chen,

Hong Cheng,

Deng-Ping Fan

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhai_2021_CVPR, author = {Zhai, Qiang and Li, Xin and Yang, Fan and Chen, Chenglizhao and Cheng, Hong and Fan, Deng-Ping}, title = {Mutual Graph Learning for Camouflaged Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12997-13007} }

Single Pair Cross-Modality Super Resolution

Guy Shacht,

Dov Danon,

Sharon Fogel,

Daniel Cohen-Or

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shacht_2021_CVPR, author = {Shacht, Guy and Danon, Dov and Fogel, Sharon and Cohen-Or, Daniel}, title = {Single Pair Cross-Modality Super Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6378-6387} }

Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation

Tianfei Zhou,

Jianwu Li,

Xueyi Li,

Ling Shao

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Tianfei and Li, Jianwu and Li, Xueyi and Shao, Ling}, title = {Target-Aware Object Discovery and Association for Unsupervised Video Multi-Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6985-6994} }

Cross-View Regularization for Domain Adaptive Panoptic Segmentation

Jiaxing Huang,

Dayan Guan,

Aoran Xiao,

Shijian Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Jiaxing and Guan, Dayan and Xiao, Aoran and Lu, Shijian}, title = {Cross-View Regularization for Domain Adaptive Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10133-10144} }

End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution

Wenzhu Xing,

Karen Egiazarian

[pdf] [supp]

[bibtex]

@InProceedings{Xing_2021_CVPR, author = {Xing, Wenzhu and Egiazarian, Karen}, title = {End-to-End Learning for Joint Image Demosaicing, Denoising and Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3507-3516} }

Keep Your Eyes on the Lane: Real-Time Attention-Guided Lane Detection

Lucas Tabelini,

Rodrigo Berriel,

Thiago M. Paixao,

Claudine Badue,

Alberto F. De Souza,

Thiago Oliveira-Santos

[pdf] [arXiv]

[bibtex]

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

Lesion-Aware Transformers for Diabetic Retinopathy Grading

Rui Sun,

Yihao Li,

Tianzhu Zhang,

Zhendong Mao,

Feng Wu,

Yongdong Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Rui and Li, Yihao and Zhang, Tianzhu and Mao, Zhendong and Wu, Feng and Zhang, Yongdong}, title = {Lesion-Aware Transformers for Diabetic Retinopathy Grading}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10938-10947} }

Involution: Inverting the Inherence of Convolution for Visual Recognition

Duo Li,

Jie Hu,

Changhu Wang,

Xiangtai Li,

Qi She,

Lei Zhu,

Tong Zhang,

Qifeng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Duo and Hu, Jie and Wang, Changhu and Li, Xiangtai and She, Qi and Zhu, Lei and Zhang, Tong and Chen, Qifeng}, title = {Involution: Inverting the Inherence of Convolution for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12321-12330} }

QPIC: Query-Based Pairwise Human-Object Interaction Detection With Image-Wide Contextual Information

Masato Tamura,

Hiroki Ohashi,

Tomoaki Yoshinaga

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tamura_2021_CVPR, author = {Tamura, Masato and Ohashi, Hiroki and Yoshinaga, Tomoaki}, title = {QPIC: Query-Based Pairwise Human-Object Interaction Detection With Image-Wide Contextual Information}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10410-10419} }

Home Action Genome: Cooperative Compositional Action Understanding

Nishant Rai,

Haofeng Chen,

Jingwei Ji,

Rishi Desai,

Kazuki Kozuka,

Shun Ishizaka,

Ehsan Adeli,

Juan Carlos Niebles

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rai_2021_CVPR, author = {Rai, Nishant and Chen, Haofeng and Ji, Jingwei and Desai, Rishi and Kozuka, Kazuki and Ishizaka, Shun and Adeli, Ehsan and Niebles, Juan Carlos}, title = {Home Action Genome: Cooperative Compositional Action Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11184-11193} }

Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies

Jinzheng Cai,

Youbao Tang,

Ke Yan,

Adam P. Harrison,

Jing Xiao,

Gigin Lin,

Le Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cai_2021_CVPR, author = {Cai, Jinzheng and Tang, Youbao and Yan, Ke and Harrison, Adam P. and Xiao, Jing and Lin, Gigin and Lu, Le}, title = {Deep Lesion Tracker: Monitoring Lesions in 4D Longitudinal Imaging Studies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15159-15169} }

Learning To Warp for Style Transfer

Xiao-Chang Liu,

Yong-Liang Yang,

Peter Hall

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Xiao-Chang and Yang, Yong-Liang and Hall, Peter}, title = {Learning To Warp for Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3702-3711} }

Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure

Miao Yin,

Siyu Liao,

Xiao-Yang Liu,

Xiaodong Wang,

Bo Yuan

[pdf] [arXiv]

[bibtex]

@InProceedings{Yin_2021_CVPR, author = {Yin, Miao and Liao, Siyu and Liu, Xiao-Yang and Wang, Xiaodong and Yuan, Bo}, title = {Towards Extremely Compact RNNs for Video Recognition With Fully Decomposed Hierarchical Tucker Structure}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12085-12094} }

Self-Supervised Multi-Frame Monocular Scene Flow

Junhwa Hur,

Stefan Roth

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hur_2021_CVPR, author = {Hur, Junhwa and Roth, Stefan}, title = {Self-Supervised Multi-Frame Monocular Scene Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2684-2694} }

Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings

Brett D. Roads,

Bradley C. Love

[pdf] [arXiv]

[bibtex]

@InProceedings{Roads_2021_CVPR, author = {Roads, Brett D. and Love, Bradley C.}, title = {Enriching ImageNet With Human Similarity Judgments and Psychological Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3547-3557} }

What's in the Image? Explorable Decoding of Compressed Images

Yuval Bahat,

Tomer Michaeli

[pdf] [supp]

[bibtex]

@InProceedings{Bahat_2021_CVPR, author = {Bahat, Yuval and Michaeli, Tomer}, title = {What's in the Image? Explorable Decoding of Compressed Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2908-2917} }

Context Modeling in 3D Human Pose Estimation: A Unified Perspective

Xiaoxuan Ma,

Jiajun Su,

Chunyu Wang,

Hai Ci,

Yizhou Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Xiaoxuan and Su, Jiajun and Wang, Chunyu and Ci, Hai and Wang, Yizhou}, title = {Context Modeling in 3D Human Pose Estimation: A Unified Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6238-6247} }

Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling

Jie Lei,

Linjie Li,

Luowei Zhou,

Zhe Gan,

Tamara L. Berg,

Mohit Bansal,

Jingjing Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lei_2021_CVPR, author = {Lei, Jie and Li, Linjie and Zhou, Luowei and Gan, Zhe and Berg, Tamara L. and Bansal, Mohit and Liu, Jingjing}, title = {Less Is More: ClipBERT for Video-and-Language Learning via Sparse Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7331-7341} }

Consensus Maximisation Using Influences of Monotone Boolean Functions

Ruwan Tennakoon,

David Suter,

Erchuan Zhang,

Tat-Jun Chin,

Alireza Bab-Hadiashar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tennakoon_2021_CVPR, author = {Tennakoon, Ruwan and Suter, David and Zhang, Erchuan and Chin, Tat-Jun and Bab-Hadiashar, Alireza}, title = {Consensus Maximisation Using Influences of Monotone Boolean Functions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2866-2875} }

Meta-Mining Discriminative Samples for Kinship Verification

Wanhua Li,

Shiwei Wang,

Jiwen Lu,

Jianjiang Feng,

Jie Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Wanhua and Wang, Shiwei and Lu, Jiwen and Feng, Jianjiang and Zhou, Jie}, title = {Meta-Mining Discriminative Samples for Kinship Verification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16135-16144} }

AQD: Towards Accurate Quantized Object Detection

Peng Chen,

Jing Liu,

Bohan Zhuang,

Mingkui Tan,

Chunhua Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Peng and Liu, Jing and Zhuang, Bohan and Tan, Mingkui and Shen, Chunhua}, title = {AQD: Towards Accurate Quantized Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {104-113} }

Learning Cross-Modal Retrieval With Noisy Labels

Peng Hu,

Xi Peng,

Hongyuan Zhu,

Liangli Zhen,

Jie Lin

[pdf] [supp]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Peng and Peng, Xi and Zhu, Hongyuan and Zhen, Liangli and Lin, Jie}, title = {Learning Cross-Modal Retrieval With Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5403-5413} }

LOHO: Latent Optimization of Hairstyles via Orthogonalization

Rohit Saha,

Brendan Duke,

Florian Shkurti,

Graham W. Taylor,

Parham Aarabi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saha_2021_CVPR, author = {Saha, Rohit and Duke, Brendan and Shkurti, Florian and Taylor, Graham W. and Aarabi, Parham}, title = {LOHO: Latent Optimization of Hairstyles via Orthogonalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1984-1993} }

Single-Shot Freestyle Dance Reenactment

Oran Gafni,

Oron Ashual,

Lior Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gafni_2021_CVPR, author = {Gafni, Oran and Ashual, Oron and Wolf, Lior}, title = {Single-Shot Freestyle Dance Reenactment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {882-891} }

A Quasiconvex Formulation for Radial Cameras

Carl Olsson,

Viktor Larsson,

Fredrik Kahl

[pdf]

[bibtex]

@InProceedings{Olsson_2021_CVPR, author = {Olsson, Carl and Larsson, Viktor and Kahl, Fredrik}, title = {A Quasiconvex Formulation for Radial Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14576-14585} }

Self-Supervised Learning of Depth Inference for Multi-View Stereo

Jiayu Yang,

Jose M. Alvarez,

Miaomiao Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Jiayu and Alvarez, Jose M. and Liu, Miaomiao}, title = {Self-Supervised Learning of Depth Inference for Multi-View Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7526-7534} }

BRepNet: A Topological Message Passing System for Solid Models

Joseph G. Lambourne,

Karl D.D. Willis,

Pradeep Kumar Jayaraman,

Aditya Sanghi,

Peter Meltzer,

Hooman Shayani

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lambourne_2021_CVPR, author = {Lambourne, Joseph G. and Willis, Karl D.D. and Jayaraman, Pradeep Kumar and Sanghi, Aditya and Meltzer, Peter and Shayani, Hooman}, title = {BRepNet: A Topological Message Passing System for Solid Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12773-12782} }

Learning To Predict Visual Attributes in the Wild

Khoi Pham,

Kushal Kafle,

Zhe Lin,

Zhihong Ding,

Scott Cohen,

Quan Tran,

Abhinav Shrivastava

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pham_2021_CVPR, author = {Pham, Khoi and Kafle, Kushal and Lin, Zhe and Ding, Zhihong and Cohen, Scott and Tran, Quan and Shrivastava, Abhinav}, title = {Learning To Predict Visual Attributes in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13018-13028} }

Animating Pictures With Eulerian Motion Fields

Aleksander Holynski,

Brian L. Curless,

Steven M. Seitz,

Richard Szeliski

[pdf] [arXiv]

[bibtex]

@InProceedings{Holynski_2021_CVPR, author = {Holynski, Aleksander and Curless, Brian L. and Seitz, Steven M. and Szeliski, Richard}, title = {Animating Pictures With Eulerian Motion Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5810-5819} }

Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection

Xiang Li,

Wenhai Wang,

Xiaolin Hu,

Jun Li,

Jinhui Tang,

Jian Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Xiang and Wang, Wenhai and Hu, Xiaolin and Li, Jun and Tang, Jinhui and Yang, Jian}, title = {Generalized Focal Loss V2: Learning Reliable Localization Quality Estimation for Dense Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11632-11641} }

Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation

Jichang Li,

Guanbin Li,

Yemin Shi,

Yizhou Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Jichang and Li, Guanbin and Shi, Yemin and Yu, Yizhou}, title = {Cross-Domain Adaptive Clustering for Semi-Supervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2505-2514} }

ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection

Jihan Yang,

Shaoshuai Shi,

Zhe Wang,

Hongsheng Li,

Xiaojuan Qi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Jihan and Shi, Shaoshuai and Wang, Zhe and Li, Hongsheng and Qi, Xiaojuan}, title = {ST3D: Self-Training for Unsupervised Domain Adaptation on 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10368-10378} }

HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching

Vladimir Tankovich,

Christian Hane,

Yinda Zhang,

Adarsh Kowdle,

Sean Fanello,

Sofien Bouaziz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tankovich_2021_CVPR, author = {Tankovich, Vladimir and Hane, Christian and Zhang, Yinda and Kowdle, Adarsh and Fanello, Sean and Bouaziz, Sofien}, title = {HITNet: Hierarchical Iterative Tile Refinement Network for Real-time Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14362-14372} }

VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning

Jongwon Choi,

Kwang Moo Yi,

Jihoon Kim,

Jinho Choo,

Byoungjip Kim,

Jinyeop Chang,

Youngjune Gwon,

Hyung Jin Chang

[pdf] [supp]

[bibtex]

@InProceedings{Choi_2021_CVPR, author = {Choi, Jongwon and Yi, Kwang Moo and Kim, Jihoon and Choo, Jinho and Kim, Byoungjip and Chang, Jinyeop and Gwon, Youngjune and Chang, Hyung Jin}, title = {VaB-AL: Incorporating Class Imbalance and Difficulty With Variational Bayes for Active Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6749-6758} }

Exploiting & Refining Depth Distributions With Triangulation Light Curtains

Yaadhav Raaj,

Siddharth Ancha,

Robert Tamburo,

David Held,

Srinivasa G. Narasimhan

[pdf]

[bibtex]

@InProceedings{Raaj_2021_CVPR, author = {Raaj, Yaadhav and Ancha, Siddharth and Tamburo, Robert and Held, David and Narasimhan, Srinivasa G.}, title = {Exploiting \& Refining Depth Distributions With Triangulation Light Curtains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7434-7442} }

DG-Font: Deformable Generative Networks for Unsupervised Font Generation

Yangchen Xie,

Xinyuan Chen,

Li Sun,

Yue Lu

[pdf] [supp]

[bibtex]

@InProceedings{Xie_2021_CVPR, author = {Xie, Yangchen and Chen, Xinyuan and Sun, Li and Lu, Yue}, title = {DG-Font: Deformable Generative Networks for Unsupervised Font Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5130-5140} }

Deep Multi-Task Learning for Joint Localization, Perception, and Prediction

John Phillips,

Julieta Martinez,

Ioan Andrei Barsan,

Sergio Casas,

Abbas Sadat,

Raquel Urtasun

[pdf] [arXiv]

[bibtex]

@InProceedings{Phillips_2021_CVPR, author = {Phillips, John and Martinez, Julieta and Barsan, Ioan Andrei and Casas, Sergio and Sadat, Abbas and Urtasun, Raquel}, title = {Deep Multi-Task Learning for Joint Localization, Perception, and Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4679-4689} }

Deeply Shape-Guided Cascade for Instance Segmentation

Hao Ding,

Siyuan Qiao,

Alan Yuille,

Wei Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ding_2021_CVPR, author = {Ding, Hao and Qiao, Siyuan and Yuille, Alan and Shen, Wei}, title = {Deeply Shape-Guided Cascade for Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8278-8288} }

MetricOpt: Learning To Optimize Black-Box Evaluation Metrics

Chen Huang,

Shuangfei Zhai,

Pengsheng Guo,

Josh Susskind

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Chen and Zhai, Shuangfei and Guo, Pengsheng and Susskind, Josh}, title = {MetricOpt: Learning To Optimize Black-Box Evaluation Metrics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {174-183} }

Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances: A Well Posed Problem?

Heng Guo,

Fumio Okura,

Boxin Shi,

Takuya Funatomi,

Yasuhiro Mukaigawa,

Yasuyuki Matsushita

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Heng and Okura, Fumio and Shi, Boxin and Funatomi, Takuya and Mukaigawa, Yasuhiro and Matsushita, Yasuyuki}, title = {Multispectral Photometric Stereo for Spatially-Varying Spectral Reflectances: A Well Posed Problem?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {963-971} }

Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback

Hui Wu,

Yupeng Gao,

Xiaoxiao Guo,

Ziad Al-Halah,

Steven Rennie,

Kristen Grauman,

Rogerio Feris

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Hui and Gao, Yupeng and Guo, Xiaoxiao and Al-Halah, Ziad and Rennie, Steven and Grauman, Kristen and Feris, Rogerio}, title = {Fashion IQ: A New Dataset Towards Retrieving Images by Natural Language Feedback}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11307-11317} }

Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling

Zhichao Huang,

Xintong Han,

Jia Xu,

Tong Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Zhichao and Han, Xintong and Xu, Jia and Zhang, Tong}, title = {Few-Shot Human Motion Transfer by Personalized Geometry and Texture Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2297-2306} }

HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps

Lu Mi,

Hang Zhao,

Charlie Nash,

Xiaohan Jin,

Jiyang Gao,

Chen Sun,

Cordelia Schmid,

Nir Shavit,

Yuning Chai,

Dragomir Anguelov

[pdf] [supp]

[bibtex]

@InProceedings{Mi_2021_CVPR, author = {Mi, Lu and Zhao, Hang and Nash, Charlie and Jin, Xiaohan and Gao, Jiyang and Sun, Chen and Schmid, Cordelia and Shavit, Nir and Chai, Yuning and Anguelov, Dragomir}, title = {HDMapGen: A Hierarchical Graph Generative Model of High Definition Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4227-4236} }

GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving

Yun Chen,

Frieda Rong,

Shivam Duggal,

Shenlong Wang,

Xinchen Yan,

Sivabalan Manivasagam,

Shangjie Xue,

Ersin Yumer,

Raquel Urtasun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Yun and Rong, Frieda and Duggal, Shivam and Wang, Shenlong and Yan, Xinchen and Manivasagam, Sivabalan and Xue, Shangjie and Yumer, Ersin and Urtasun, Raquel}, title = {GeoSim: Realistic Video Simulation via Geometry-Aware Composition for Self-Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7230-7240} }

AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence

Chengyue Gong,

Dilin Wang,

Qiang Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Gong_2021_CVPR, author = {Gong, Chengyue and Wang, Dilin and Liu, Qiang}, title = {AlphaMatch: Improving Consistency for Semi-Supervised Learning With Alpha-Divergence}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13683-13692} }

Unbalanced Feature Transport for Exemplar-Based Image Translation

Fangneng Zhan,

Yingchen Yu,

Kaiwen Cui,

Gongjie Zhang,

Shijian Lu,

Jianxiong Pan,

Changgong Zhang,

Feiying Ma,

Xuansong Xie,

Chunyan Miao

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhan_2021_CVPR, author = {Zhan, Fangneng and Yu, Yingchen and Cui, Kaiwen and Zhang, Gongjie and Lu, Shijian and Pan, Jianxiong and Zhang, Changgong and Ma, Feiying and Xie, Xuansong and Miao, Chunyan}, title = {Unbalanced Feature Transport for Exemplar-Based Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15028-15038} }

Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators

Wenda Zhao,

Cai Shang,

Huchuan Lu

[pdf]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Wenda and Shang, Cai and Lu, Huchuan}, title = {Self-Generated Defocus Blur Detection via Dual Adversarial Discriminators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6933-6942} }

View Generalization for Single Image Textured 3D Models

Anand Bhattad,

Aysegul Dundar,

Guilin Liu,

Andrew Tao,

Bryan Catanzaro

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bhattad_2021_CVPR, author = {Bhattad, Anand and Dundar, Aysegul and Liu, Guilin and Tao, Andrew and Catanzaro, Bryan}, title = {View Generalization for Single Image Textured 3D Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6081-6090} }

Your "Flamingo" is My "Bird": Fine-Grained, or Not

Dongliang Chang,

Kaiyue Pang,

Yixiao Zheng,

Zhanyu Ma,

Yi-Zhe Song,

Jun Guo

[pdf] [arXiv]

[bibtex]

@InProceedings{Chang_2021_CVPR, author = {Chang, Dongliang and Pang, Kaiyue and Zheng, Yixiao and Ma, Zhanyu and Song, Yi-Zhe and Guo, Jun}, title = {Your ''Flamingo'' is My ''Bird'': Fine-Grained, or Not}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11476-11485} }

Anchor-Constrained Viterbi for Set-Supervised Action Segmentation

Jun Li,

Sinisa Todorovic

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Jun and Todorovic, Sinisa}, title = {Anchor-Constrained Viterbi for Set-Supervised Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9806-9815} }

SOON: Scenario Oriented Object Navigation With Graph-Based Exploration

Fengda Zhu,

Xiwen Liang,

Yi Zhu,

Qizhi Yu,

Xiaojun Chang,

Xiaodan Liang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Fengda and Liang, Xiwen and Zhu, Yi and Yu, Qizhi and Chang, Xiaojun and Liang, Xiaodan}, title = {SOON: Scenario Oriented Object Navigation With Graph-Based Exploration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12689-12699} }

Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression

Yuanchao Bai,

Xianming Liu,

Wangmeng Zuo,

Yaowei Wang,

Xiangyang Ji

[pdf] [supp]

[bibtex]

@InProceedings{Bai_2021_CVPR, author = {Bai, Yuanchao and Liu, Xianming and Zuo, Wangmeng and Wang, Yaowei and Ji, Xiangyang}, title = {Learning Scalable lY=-Constrained Near-Lossless Image Compression via Joint Lossy Image and Residual Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11946-11955} }

Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner

Chong Yu

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Chong}, title = {Minimally Invasive Surgery for Sparse Neural Networks in Contrastive Manner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3589-3598} }

XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations

Eunji Kim,

Siwon Kim,

Minji Seo,

Sungroh Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Eunji and Kim, Siwon and Seo, Minji and Yoon, Sungroh}, title = {XProtoNet: Diagnosis in Chest Radiography With Global and Local Explanations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15719-15728} }

Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution

Baoli Sun,

Xinchen Ye,

Baopu Li,

Haojie Li,

Zhihui Wang,

Rui Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Baoli and Ye, Xinchen and Li, Baopu and Li, Haojie and Wang, Zhihui and Xu, Rui}, title = {Learning Scene Structure Guidance via Cross-Task Knowledge Transfer for Single Depth Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7792-7801} }

Visual Navigation With Spatial Attention

Bar Mayo,

Tamir Hazan,

Ayellet Tal

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mayo_2021_CVPR, author = {Mayo, Bar and Hazan, Tamir and Tal, Ayellet}, title = {Visual Navigation With Spatial Attention}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16898-16907} }

Model-Based 3D Hand Reconstruction via Self-Supervised Learning

Yujin Chen,

Zhigang Tu,

Di Kang,

Linchao Bao,

Ying Zhang,

Xuefei Zhe,

Ruizhi Chen,

Junsong Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Yujin and Tu, Zhigang and Kang, Di and Bao, Linchao and Zhang, Ying and Zhe, Xuefei and Chen, Ruizhi and Yuan, Junsong}, title = {Model-Based 3D Hand Reconstruction via Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10451-10460} }

Robust Reflection Removal With Reflection-Free Flash-Only Cues

Chenyang Lei,

Qifeng Chen

[pdf] [arXiv]

[bibtex]

@InProceedings{Lei_2021_CVPR, author = {Lei, Chenyang and Chen, Qifeng}, title = {Robust Reflection Removal With Reflection-Free Flash-Only Cues}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14811-14820} }

Real-Time Selfie Video Stabilization

Jiyang Yu,

Ravi Ramamoorthi,

Keli Cheng,

Michel Sarkis,

Ning Bi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Jiyang and Ramamoorthi, Ravi and Cheng, Keli and Sarkis, Michel and Bi, Ning}, title = {Real-Time Selfie Video Stabilization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12036-12044} }

3D Human Action Representation Learning via Cross-View Consistency Pursuit

Linguo Li,

Minsi Wang,

Bingbing Ni,

Hang Wang,

Jiancheng Yang,

Wenjun Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Linguo and Wang, Minsi and Ni, Bingbing and Wang, Hang and Yang, Jiancheng and Zhang, Wenjun}, title = {3D Human Action Representation Learning via Cross-View Consistency Pursuit}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4741-4750} }

Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation

Peter Karkus,

Shaojun Cai,

David Hsu

[pdf] [supp]

[bibtex]

@InProceedings{Karkus_2021_CVPR, author = {Karkus, Peter and Cai, Shaojun and Hsu, David}, title = {Differentiable SLAM-Net: Learning Particle SLAM for Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2815-2825} }

Learning Goals From Failure

Dave Epstein,

Carl Vondrick

[pdf] [arXiv]

[bibtex]

@InProceedings{Epstein_2021_CVPR, author = {Epstein, Dave and Vondrick, Carl}, title = {Learning Goals From Failure}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11194-11204} }

Rank-One Prior: Toward Real-Time Scene Recovery

Jun Liu,

Wen Liu,

Jianing Sun,

Tieyong Zeng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Jun and Liu, Wen and Sun, Jianing and Zeng, Tieyong}, title = {Rank-One Prior: Toward Real-Time Scene Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14802-14810} }

Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics

Evonne Ng,

Shiry Ginosar,

Trevor Darrell,

Hanbyul Joo

[pdf] [arXiv]

[bibtex]

@InProceedings{Ng_2021_CVPR, author = {Ng, Evonne and Ginosar, Shiry and Darrell, Trevor and Joo, Hanbyul}, title = {Body2Hands: Learning To Infer 3D Hands From Conversational Gesture Body Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11865-11874} }

Linear Semantics in Generative Adversarial Networks

Jianjin Xu,

Changxi Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Jianjin and Zheng, Changxi}, title = {Linear Semantics in Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9351-9360} }

Mesoscopic Photogrammetry With an Unstabilized Phone Camera

Kevin C. Zhou,

Colin Cooke,

Jaehee Park,

Ruobing Qian,

Roarke Horstmeyer,

Joseph A. Izatt,

Sina Farsiu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Kevin C. and Cooke, Colin and Park, Jaehee and Qian, Ruobing and Horstmeyer, Roarke and Izatt, Joseph A. and Farsiu, Sina}, title = {Mesoscopic Photogrammetry With an Unstabilized Phone Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7535-7545} }

Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification

Hao Chen,

Yaohui Wang,

Benoit Lagadec,

Antitza Dantcheva,

Francois Bremond

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Hao and Wang, Yaohui and Lagadec, Benoit and Dantcheva, Antitza and Bremond, Francois}, title = {Joint Generative and Contrastive Learning for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2004-2013} }

Wide-Baseline Multi-Camera Calibration Using Person Re-Identification

Yan Xu,

Yu-Jhe Li,

Xinshuo Weng,

Kris Kitani

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Yan and Li, Yu-Jhe and Weng, Xinshuo and Kitani, Kris}, title = {Wide-Baseline Multi-Camera Calibration Using Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13134-13143} }

ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation

Xinyue Huo,

Lingxi Xie,

Jianzhong He,

Zijie Yang,

Wengang Zhou,

Houqiang Li,

Qi Tian

[pdf] [supp]

[bibtex]

@InProceedings{Huo_2021_CVPR, author = {Huo, Xinyue and Xie, Lingxi and He, Jianzhong and Yang, Zijie and Zhou, Wengang and Li, Houqiang and Tian, Qi}, title = {ATSO: Asynchronous Teacher-Student Optimization for Semi-Supervised Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1235-1244} }

Panoramic Image Reflection Removal

Yuchen Hong,

Qian Zheng,

Lingran Zhao,

Xudong Jiang,

Alex C. Kot,

Boxin Shi

[pdf] [supp]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Yuchen and Zheng, Qian and Zhao, Lingran and Jiang, Xudong and Kot, Alex C. and Shi, Boxin}, title = {Panoramic Image Reflection Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7762-7771} }

OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations

Yang Tan,

Yang Li,

Shao-Lun Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tan_2021_CVPR, author = {Tan, Yang and Li, Yang and Huang, Shao-Lun}, title = {OTCE: A Transferability Metric for Cross-Domain Cross-Task Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15779-15788} }

Diverse Semantic Image Synthesis via Probability Distribution Modeling

Zhentao Tan,

Menglei Chai,

Dongdong Chen,

Jing Liao,

Qi Chu,

Bin Liu,

Gang Hua,

Nenghai Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tan_2021_CVPR, author = {Tan, Zhentao and Chai, Menglei and Chen, Dongdong and Liao, Jing and Chu, Qi and Liu, Bin and Hua, Gang and Yu, Nenghai}, title = {Diverse Semantic Image Synthesis via Probability Distribution Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7962-7971} }

NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections

Ricardo Martin-Brualla,

Noha Radwan,

Mehdi S. M. Sajjadi,

Jonathan T. Barron,

Alexey Dosovitskiy,

Daniel Duckworth

[pdf] [supp]

[bibtex]

@InProceedings{Martin-Brualla_2021_CVPR, author = {Martin-Brualla, Ricardo and Radwan, Noha and Sajjadi, Mehdi S. M. and Barron, Jonathan T. and Dosovitskiy, Alexey and Duckworth, Daniel}, title = {NeRF in the Wild: Neural Radiance Fields for Unconstrained Photo Collections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7210-7219} }

Learning by Watching

Jimuyang Zhang,

Eshed Ohn-Bar

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jimuyang and Ohn-Bar, Eshed}, title = {Learning by Watching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12711-12721} }

Pseudo Facial Generation With Extreme Poses for Face Recognition

Guoli Wang,

Jiaqi Ma,

Qian Zhang,

Jiwen Lu,

Jie Zhou

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Guoli and Ma, Jiaqi and Zhang, Qian and Lu, Jiwen and Zhou, Jie}, title = {Pseudo Facial Generation With Extreme Poses for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1994-2003} }

Inverting Generative Adversarial Renderer for Face Reconstruction

Jingtan Piao,

Keqiang Sun,

Quan Wang,

Kwan-Yee Lin,

Hongsheng Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Piao_2021_CVPR, author = {Piao, Jingtan and Sun, Keqiang and Wang, Quan and Lin, Kwan-Yee and Li, Hongsheng}, title = {Inverting Generative Adversarial Renderer for Face Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15619-15628} }

Efficient Object Embedding for Spliced Image Retrieval

Bor-Chun Chen,

Zuxuan Wu,

Larry S. Davis,

Ser-Nam Lim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Bor-Chun and Wu, Zuxuan and Davis, Larry S. and Lim, Ser-Nam}, title = {Efficient Object Embedding for Spliced Image Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14965-14975} }

GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection

Abhinav Kumar,

Garrick Brazil,

Xiaoming Liu

[pdf] [supp]

[bibtex]

@InProceedings{Kumar_2021_CVPR, author = {Kumar, Abhinav and Brazil, Garrick and Liu, Xiaoming}, title = {GrooMeD-NMS: Grouped Mathematically Differentiable NMS for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8973-8983} }

Flow Guided Transformable Bottleneck Networks for Motion Retargeting

Jian Ren,

Menglei Chai,

Oliver J. Woodford,

Kyle Olszewski,

Sergey Tulyakov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ren_2021_CVPR, author = {Ren, Jian and Chai, Menglei and Woodford, Oliver J. and Olszewski, Kyle and Tulyakov, Sergey}, title = {Flow Guided Transformable Bottleneck Networks for Motion Retargeting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10795-10805} }

Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation

Weixiang Yang,

Qi Li,

Wenxi Liu,

Yuanlong Yu,

Yuexin Ma,

Shengfeng He,

Jia Pan

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Weixiang and Li, Qi and Liu, Wenxi and Yu, Yuanlong and Ma, Yuexin and He, Shengfeng and Pan, Jia}, title = {Projecting Your View Attentively: Monocular Road Scene Layout Estimation via Cross-View Transformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15536-15545} }

Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition

Chun-Fu Richard Chen,

Rameswar Panda,

Kandan Ramakrishnan,

Rogerio Feris,

John Cohn,

Aude Oliva,

Quanfu Fan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Chun-Fu Richard and Panda, Rameswar and Ramakrishnan, Kandan and Feris, Rogerio and Cohn, John and Oliva, Aude and Fan, Quanfu}, title = {Deep Analysis of CNN-Based Spatio-Temporal Representations for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6165-6175} }

Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts

Yongxing Dai,

Xiaotong Li,

Jun Liu,

Zekun Tong,

Ling-Yu Duan

[pdf] [arXiv]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Yongxing and Li, Xiaotong and Liu, Jun and Tong, Zekun and Duan, Ling-Yu}, title = {Generalizable Person Re-Identification With Relevance-Aware Mixture of Experts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16145-16154} }

Part-Aware Panoptic Segmentation

Daan de Geus,

Panagiotis Meletis,

Chenyang Lu,

Xiaoxiao Wen,

Gijs Dubbelman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{de_Geus_2021_CVPR, author = {de Geus, Daan and Meletis, Panagiotis and Lu, Chenyang and Wen, Xiaoxiao and Dubbelman, Gijs}, title = {Part-Aware Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5485-5494} }

Unsupervised Degradation Representation Learning for Blind Super-Resolution

Longguang Wang,

Yingqian Wang,

Xiaoyu Dong,

Qingyu Xu,

Jungang Yang,

Wei An,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Longguang and Wang, Yingqian and Dong, Xiaoyu and Xu, Qingyu and Yang, Jungang and An, Wei and Guo, Yulan}, title = {Unsupervised Degradation Representation Learning for Blind Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10581-10590} }

Convolutional Hough Matching Networks

Juhong Min,

Minsu Cho

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Min_2021_CVPR, author = {Min, Juhong and Cho, Minsu}, title = {Convolutional Hough Matching Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2940-2950} }

Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph

Xin Ye,

Yezhou Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2021_CVPR, author = {Ye, Xin and Yang, Yezhou}, title = {Hierarchical and Partially Observable Goal-Driven Policy Learning With Goals Relational Graph}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14101-14110} }

Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos

Hehe Fan,

Yi Yang,

Mohan Kankanhalli

[pdf] [supp]

[bibtex]

@InProceedings{Fan_2021_CVPR, author = {Fan, Hehe and Yang, Yi and Kankanhalli, Mohan}, title = {Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14204-14213} }

CoCoNets: Continuous Contrastive 3D Scene Representations

Shamit Lal,

Mihir Prabhudesai,

Ishita Mediratta,

Adam W. Harley,

Katerina Fragkiadaki

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lal_2021_CVPR, author = {Lal, Shamit and Prabhudesai, Mihir and Mediratta, Ishita and Harley, Adam W. and Fragkiadaki, Katerina}, title = {CoCoNets: Continuous Contrastive 3D Scene Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12487-12496} }

Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition

Songyang Zhang,

Zeming Li,

Shipeng Yan,

Xuming He,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Songyang and Li, Zeming and Yan, Shipeng and He, Xuming and Sun, Jian}, title = {Distribution Alignment: A Unified Framework for Long-Tail Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2361-2370} }

Dynamic Class Queue for Large Scale Face Recognition in the Wild

Bi Li,

Teng Xi,

Gang Zhang,

Haocheng Feng,

Junyu Han,

Jingtuo Liu,

Errui Ding,

Wenyu Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Bi and Xi, Teng and Zhang, Gang and Feng, Haocheng and Han, Junyu and Liu, Jingtuo and Ding, Errui and Liu, Wenyu}, title = {Dynamic Class Queue for Large Scale Face Recognition in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3763-3772} }

3D-MAN: 3D Multi-Frame Attention Network for Object Detection

Zetong Yang,

Yin Zhou,

Zhifeng Chen,

Jiquan Ngiam

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Zetong and Zhou, Yin and Chen, Zhifeng and Ngiam, Jiquan}, title = {3D-MAN: 3D Multi-Frame Attention Network for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1863-1872} }

Cross-Modal Center Loss for 3D Cross-Modal Retrieval

Longlong Jing,

Elahe Vahdani,

Jiaxing Tan,

Yingli Tian

[pdf]

[bibtex]

@InProceedings{Jing_2021_CVPR, author = {Jing, Longlong and Vahdani, Elahe and Tan, Jiaxing and Tian, Yingli}, title = {Cross-Modal Center Loss for 3D Cross-Modal Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3142-3151} }

Learning View Selection for 3D Scenes

Yifan Sun,

Qixing Huang,

Dun-Yu Hsiao,

Li Guan,

Gang Hua

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Yifan and Huang, Qixing and Hsiao, Dun-Yu and Guan, Li and Hua, Gang}, title = {Learning View Selection for 3D Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14464-14473} }

FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds

Haiyan Wang,

Jiahao Pang,

Muhammad A. Lodhi,

Yingli Tian,

Dong Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Haiyan and Pang, Jiahao and Lodhi, Muhammad A. and Tian, Yingli and Tian, Dong}, title = {FESTA: Flow Estimation via Spatial-Temporal Attention for Scene Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14173-14182} }

Semi-Supervised Action Recognition With Temporal Contrastive Learning

Ankit Singh,

Omprakash Chakraborty,

Ashutosh Varshney,

Rameswar Panda,

Rogerio Feris,

Kate Saenko,

Abir Das

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singh_2021_CVPR, author = {Singh, Ankit and Chakraborty, Omprakash and Varshney, Ashutosh and Panda, Rameswar and Feris, Rogerio and Saenko, Kate and Das, Abir}, title = {Semi-Supervised Action Recognition With Temporal Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10389-10399} }

SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation

Dongfang Liu,

Yiming Cui,

Wenbo Tan,

Yingjie Chen

[pdf]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Dongfang and Cui, Yiming and Tan, Wenbo and Chen, Yingjie}, title = {SG-Net: Spatial Granularity Network for One-Stage Video Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9816-9825} }

Learned Initializations for Optimizing Coordinate-Based Neural Representations

Matthew Tancik,

Ben Mildenhall,

Terrance Wang,

Divi Schmidt,

Pratul P. Srinivasan,

Jonathan T. Barron,

Ren Ng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tancik_2021_CVPR, author = {Tancik, Matthew and Mildenhall, Ben and Wang, Terrance and Schmidt, Divi and Srinivasan, Pratul P. and Barron, Jonathan T. and Ng, Ren}, title = {Learned Initializations for Optimizing Coordinate-Based Neural Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2846-2855} }

Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization

Junting Pan,

Siyu Chen,

Mike Zheng Shou,

Yu Liu,

Jing Shao,

Hongsheng Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Pan_2021_CVPR, author = {Pan, Junting and Chen, Siyu and Shou, Mike Zheng and Liu, Yu and Shao, Jing and Li, Hongsheng}, title = {Actor-Context-Actor Relation Network for Spatio-Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {464-474} }

Cross-View Cross-Scene Multi-View Crowd Counting

Qi Zhang,

Wei Lin,

Antoni B. Chan

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Qi and Lin, Wei and Chan, Antoni B.}, title = {Cross-View Cross-Scene Multi-View Crowd Counting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {557-567} }

Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization

Daiqing Li,

Junlin Yang,

Karsten Kreis,

Antonio Torralba,

Sanja Fidler

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Daiqing and Yang, Junlin and Kreis, Karsten and Torralba, Antonio and Fidler, Sanja}, title = {Semantic Segmentation With Generative Models: Semi-Supervised Learning and Strong Out-of-Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8300-8311} }

Depth-Aware Mirror Segmentation

Haiyang Mei,

Bo Dong,

Wen Dong,

Pieter Peers,

Xin Yang,

Qiang Zhang,

Xiaopeng Wei

[pdf] [supp]

[bibtex]

@InProceedings{Mei_2021_CVPR, author = {Mei, Haiyang and Dong, Bo and Dong, Wen and Peers, Pieter and Yang, Xin and Zhang, Qiang and Wei, Xiaopeng}, title = {Depth-Aware Mirror Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3044-3053} }

You Only Look One-Level Feature

Qiang Chen,

Yingming Wang,

Tong Yang,

Xiangyu Zhang,

Jian Cheng,

Jian Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Qiang and Wang, Yingming and Yang, Tong and Zhang, Xiangyu and Cheng, Jian and Sun, Jian}, title = {You Only Look One-Level Feature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13039-13048} }

Multi-Perspective LSTM for Joint Visual Representation Learning

Alireza Sepas-Moghaddam,

Fernando Pereira,

Paulo Lobato Correia,

Ali Etemad

[pdf]

[bibtex]

@InProceedings{Sepas-Moghaddam_2021_CVPR, author = {Sepas-Moghaddam, Alireza and Pereira, Fernando and Correia, Paulo Lobato and Etemad, Ali}, title = {Multi-Perspective LSTM for Joint Visual Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16540-16548} }

Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search

Yibo Yang,

Shan You,

Hongyang Li,

Fei Wang,

Chen Qian,

Zhouchen Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Yibo and You, Shan and Li, Hongyang and Wang, Fei and Qian, Chen and Lin, Zhouchen}, title = {Towards Improving the Consistency, Efficiency, and Flexibility of Differentiable Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6667-6676} }

Gaussian Context Transformer

Dongsheng Ruan,

Daiyin Wang,

Yuan Zheng,

Nenggan Zheng,

Min Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Ruan_2021_CVPR, author = {Ruan, Dongsheng and Wang, Daiyin and Zheng, Yuan and Zheng, Nenggan and Zheng, Min}, title = {Gaussian Context Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15129-15138} }

Keypoint-Graph-Driven Learning Framework for Object Pose Estimation

Shaobo Zhang,

Wanqing Zhao,

Ziyu Guan,

Xianlin Peng,

Jinye Peng

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shaobo and Zhao, Wanqing and Guan, Ziyu and Peng, Xianlin and Peng, Jinye}, title = {Keypoint-Graph-Driven Learning Framework for Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1065-1073} }

Deep Burst Super-Resolution

Goutam Bhat,

Martin Danelljan,

Luc Van Gool,

Radu Timofte

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bhat_2021_CVPR, author = {Bhat, Goutam and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, title = {Deep Burst Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9209-9218} }

Transferable Semantic Augmentation for Domain Adaptation

Shuang Li,

Mixue Xie,

Kaixiong Gong,

Chi Harold Liu,

Yulin Wang,

Wei Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Shuang and Xie, Mixue and Gong, Kaixiong and Liu, Chi Harold and Wang, Yulin and Li, Wei}, title = {Transferable Semantic Augmentation for Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11516-11525} }

Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning

Zilong Zheng,

Jianwen Xie,

Ping Li

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Zilong and Xie, Jianwen and Li, Ping}, title = {Patchwise Generative ConvNet: Training Energy-Based Models From a Single Natural Image for Internal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2961-2970} }

Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition

Xuan-Bac Nguyen,

Duc Toan Bui,

Chi Nhan Duong,

Tien D. Bui,

Khoa Luu

[pdf]

[bibtex]

@InProceedings{Nguyen_2021_CVPR, author = {Nguyen, Xuan-Bac and Bui, Duc Toan and Duong, Chi Nhan and Bui, Tien D. and Luu, Khoa}, title = {Clusformer: A Transformer Based Clustering Approach to Unsupervised Large-Scale Face and Visual Landmark Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10847-10856} }

No Frame Left Behind: Full Video Action Recognition

Xin Liu,

Silvia L. Pintea,

Fatemeh Karimi Nejadasl,

Olaf Booij,

Jan C. van Gemert

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Xin and Pintea, Silvia L. and Nejadasl, Fatemeh Karimi and Booij, Olaf and van Gemert, Jan C.}, title = {No Frame Left Behind: Full Video Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14892-14901} }

ColorRL: Reinforced Coloring for End-to-End Instance Segmentation

Tran Anh Tuan,

Nguyen Tuan Khoa,

Tran Minh Quan,

Won-Ki Jeong

[pdf] [supp]

[bibtex]

@InProceedings{Tuan_2021_CVPR, author = {Tuan, Tran Anh and Khoa, Nguyen Tuan and Quan, Tran Minh and Jeong, Won-Ki}, title = {ColorRL: Reinforced Coloring for End-to-End Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16727-16736} }

Compatibility-Aware Heterogeneous Visual Search

Rahul Duggal,

Hao Zhou,

Shuo Yang,

Yuanjun Xiong,

Wei Xia,

Zhuowen Tu,

Stefano Soatto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duggal_2021_CVPR, author = {Duggal, Rahul and Zhou, Hao and Yang, Shuo and Xiong, Yuanjun and Xia, Wei and Tu, Zhuowen and Soatto, Stefano}, title = {Compatibility-Aware Heterogeneous Visual Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10723-10732} }

WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos

Mingfei Gao,

Yingbo Zhou,

Ran Xu,

Richard Socher,

Caiming Xiong

[pdf] [arXiv]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Mingfei and Zhou, Yingbo and Xu, Ran and Socher, Richard and Xiong, Caiming}, title = {WOAD: Weakly Supervised Online Action Detection in Untrimmed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1915-1923} }

Deep Dual Consecutive Network for Human Pose Estimation

Zhenguang Liu,

Haoming Chen,

Runyang Feng,

Shuang Wu,

Shouling Ji,

Bailin Yang,

Xun Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Zhenguang and Chen, Haoming and Feng, Runyang and Wu, Shuang and Ji, Shouling and Yang, Bailin and Wang, Xun}, title = {Deep Dual Consecutive Network for Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {525-534} }

Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection

Aixuan Li,

Jing Zhang,

Yunqiu Lv,

Bowen Liu,

Tong Zhang,

Yuchao Dai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Aixuan and Zhang, Jing and Lv, Yunqiu and Liu, Bowen and Zhang, Tong and Dai, Yuchao}, title = {Uncertainty-Aware Joint Salient Object and Camouflaged Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10071-10081} }

HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens

Zhaohui Yang,

Yunhe Wang,

Xinghao Chen,

Jianyuan Guo,

Wei Zhang,

Chao Xu,

Chunjing Xu,

Dacheng Tao,

Chang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Zhaohui and Wang, Yunhe and Chen, Xinghao and Guo, Jianyuan and Zhang, Wei and Xu, Chao and Xu, Chunjing and Tao, Dacheng and Xu, Chang}, title = {HourNAS: Extremely Fast Neural Architecture Search Through an Hourglass Lens}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10896-10906} }

Tree-Like Decision Distillation

Jie Song,

Haofei Zhang,

Xinchao Wang,

Mengqi Xue,

Ying Chen,

Li Sun,

Dacheng Tao,

Mingli Song

[pdf] [supp]

[bibtex]

@InProceedings{Song_2021_CVPR, author = {Song, Jie and Zhang, Haofei and Wang, Xinchao and Xue, Mengqi and Chen, Ying and Sun, Li and Tao, Dacheng and Song, Mingli}, title = {Tree-Like Decision Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13488-13497} }

GAN Prior Embedded Network for Blind Face Restoration in the Wild

Tao Yang,

Peiran Ren,

Xuansong Xie,

Lei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Tao and Ren, Peiran and Xie, Xuansong and Zhang, Lei}, title = {GAN Prior Embedded Network for Blind Face Restoration in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {672-681} }

Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation

Tianrui Hui,

Shaofei Huang,

Si Liu,

Zihan Ding,

Guanbin Li,

Wenguan Wang,

Jizhong Han,

Fei Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hui_2021_CVPR, author = {Hui, Tianrui and Huang, Shaofei and Liu, Si and Ding, Zihan and Li, Guanbin and Wang, Wenguan and Han, Jizhong and Wang, Fei}, title = {Collaborative Spatial-Temporal Modeling for Language-Queried Video Actor Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4187-4196} }

Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer

Tianwei Lin,

Zhuoqi Ma,

Fu Li,

Dongliang He,

Xin Li,

Errui Ding,

Nannan Wang,

Jie Li,

Xinbo Gao

[pdf] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Tianwei and Ma, Zhuoqi and Li, Fu and He, Dongliang and Li, Xin and Ding, Errui and Wang, Nannan and Li, Jie and Gao, Xinbo}, title = {Drafting and Revision: Laplacian Pyramid Network for Fast High-Quality Artistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5141-5150} }

The Lottery Ticket Hypothesis for Object Recognition

Sharath Girish,

Shishira R Maiya,

Kamal Gupta,

Hao Chen,

Larry S. Davis,

Abhinav Shrivastava

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Girish_2021_CVPR, author = {Girish, Sharath and Maiya, Shishira R and Gupta, Kamal and Chen, Hao and Davis, Larry S. and Shrivastava, Abhinav}, title = {The Lottery Ticket Hypothesis for Object Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {762-771} }

Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images

Haolin Liu,

Anran Lin,

Xiaoguang Han,

Lei Yang,

Yizhou Yu,

Shuguang Cui

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Haolin and Lin, Anran and Han, Xiaoguang and Yang, Lei and Yu, Yizhou and Cui, Shuguang}, title = {Refer-It-in-RGBD: A Bottom-Up Approach for 3D Visual Grounding in RGBD Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6032-6041} }

LQF: Linear Quadratic Fine-Tuning

Alessandro Achille,

Aditya Golatkar,

Avinash Ravichandran,

Marzia Polito,

Stefano Soatto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Achille_2021_CVPR, author = {Achille, Alessandro and Golatkar, Aditya and Ravichandran, Avinash and Polito, Marzia and Soatto, Stefano}, title = {LQF: Linear Quadratic Fine-Tuning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15729-15739} }

Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification

Xuehu Liu,

Pingping Zhang,

Chenyang Yu,

Huchuan Lu,

Xiaoyun Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Xuehu and Zhang, Pingping and Yu, Chenyang and Lu, Huchuan and Yang, Xiaoyun}, title = {Watching You: Global-Guided Reciprocal Learning for Video-Based Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13334-13343} }

S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation

Yu-Kai Huang,

Yueh-Cheng Liu,

Tsung-Han Wu,

Hung-Ting Su,

Yu-Cheng Chang,

Tsung-Lin Tsou,

Yu-An Wang,

Winston H. Hsu

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Yu-Kai and Liu, Yueh-Cheng and Wu, Tsung-Han and Su, Hung-Ting and Chang, Yu-Cheng and Tsou, Tsung-Lin and Wang, Yu-An and Hsu, Winston H.}, title = {S3: Learnable Sparse Signal Superdensity for Guided Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16706-16716} }

Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking

Ning Wang,

Wengang Zhou,

Jie Wang,

Houqiang Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Ning and Zhou, Wengang and Wang, Jie and Li, Houqiang}, title = {Transformer Meets Tracker: Exploiting Temporal Context for Robust Visual Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1571-1580} }

High-Fidelity Neural Human Motion Transfer From Monocular Video

Moritz Kappel,

Vladislav Golyanik,

Mohamed Elgharib,

Jann-Ole Henningson,

Hans-Peter Seidel,

Susana Castillo,

Christian Theobalt,

Marcus Magnor

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kappel_2021_CVPR, author = {Kappel, Moritz and Golyanik, Vladislav and Elgharib, Mohamed and Henningson, Jann-Ole and Seidel, Hans-Peter and Castillo, Susana and Theobalt, Christian and Magnor, Marcus}, title = {High-Fidelity Neural Human Motion Transfer From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1541-1550} }

Polygonal Building Extraction by Frame Field Learning

Nicolas Girard,

Dmitriy Smirnov,

Justin Solomon,

Yuliya Tarabalka

[pdf] [supp]

[bibtex]

@InProceedings{Girard_2021_CVPR, author = {Girard, Nicolas and Smirnov, Dmitriy and Solomon, Justin and Tarabalka, Yuliya}, title = {Polygonal Building Extraction by Frame Field Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5891-5900} }

NeuralFusion: Online Depth Fusion in Latent Space

Silvan Weder,

Johannes L. Schonberger,

Marc Pollefeys,

Martin R. Oswald

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Weder_2021_CVPR, author = {Weder, Silvan and Schonberger, Johannes L. and Pollefeys, Marc and Oswald, Martin R.}, title = {NeuralFusion: Online Depth Fusion in Latent Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3162-3172} }

PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation

Kehong Gong,

Jianfeng Zhang,

Jiashi Feng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gong_2021_CVPR, author = {Gong, Kehong and Zhang, Jianfeng and Feng, Jiashi}, title = {PoseAug: A Differentiable Pose Augmentation Framework for 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8575-8584} }

Depth Completion With Twin Surface Extrapolation at Occlusion Boundaries

Saif Imran,

Xiaoming Liu,

Daniel Morris

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Imran_2021_CVPR, author = {Imran, Saif and Liu, Xiaoming and Morris, Daniel}, title = {Depth Completion With Twin Surface Extrapolation at Occlusion Boundaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2583-2592} }

Learning the Superpixel in a Non-Iterative and Lifelong Manner

Lei Zhu,

Qi She,

Bin Zhang,

Yanye Lu,

Zhilin Lu,

Duo Li,

Jie Hu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Lei and She, Qi and Zhang, Bin and Lu, Yanye and Lu, Zhilin and Li, Duo and Hu, Jie}, title = {Learning the Superpixel in a Non-Iterative and Lifelong Manner}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1225-1234} }

Image Generators With Conditionally-Independent Pixel Synthesis

Ivan Anokhin,

Kirill Demochkin,

Taras Khakhulin,

Gleb Sterkin,

Victor Lempitsky,

Denis Korzhenkov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Anokhin_2021_CVPR, author = {Anokhin, Ivan and Demochkin, Kirill and Khakhulin, Taras and Sterkin, Gleb and Lempitsky, Victor and Korzhenkov, Denis}, title = {Image Generators With Conditionally-Independent Pixel Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14278-14287} }

Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets

Yuan-Hong Liao,

Amlan Kar,

Sanja Fidler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liao_2021_CVPR, author = {Liao, Yuan-Hong and Kar, Amlan and Fidler, Sanja}, title = {Towards Good Practices for Efficiently Annotating Large-Scale Image Classification Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4350-4359} }

Seesaw Loss for Long-Tailed Instance Segmentation

Jiaqi Wang,

Wenwei Zhang,

Yuhang Zang,

Yuhang Cao,

Jiangmiao Pang,

Tao Gong,

Kai Chen,

Ziwei Liu,

Chen Change Loy,

Dahua Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jiaqi and Zhang, Wenwei and Zang, Yuhang and Cao, Yuhang and Pang, Jiangmiao and Gong, Tao and Chen, Kai and Liu, Ziwei and Loy, Chen Change and Lin, Dahua}, title = {Seesaw Loss for Long-Tailed Instance Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9695-9704} }

Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction

Guy Gafni,

Justus Thies,

Michael Zollhofer,

Matthias Niessner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gafni_2021_CVPR, author = {Gafni, Guy and Thies, Justus and Zollhofer, Michael and Niessner, Matthias}, title = {Dynamic Neural Radiance Fields for Monocular 4D Facial Avatar Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8649-8658} }

PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks

Guocheng Qian,

Abdulellah Abualshour,

Guohao Li,

Ali Thabet,

Bernard Ghanem

[pdf]

[bibtex]

@InProceedings{Qian_2021_CVPR, author = {Qian, Guocheng and Abualshour, Abdulellah and Li, Guohao and Thabet, Ali and Ghanem, Bernard}, title = {PU-GCN: Point Cloud Upsampling Using Graph Convolutional Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11683-11692} }

Differentiable Patch Selection for Image Recognition

Jean-Baptiste Cordonnier,

Aravindh Mahendran,

Alexey Dosovitskiy,

Dirk Weissenborn,

Jakob Uszkoreit,

Thomas Unterthiner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cordonnier_2021_CVPR, author = {Cordonnier, Jean-Baptiste and Mahendran, Aravindh and Dosovitskiy, Alexey and Weissenborn, Dirk and Uszkoreit, Jakob and Unterthiner, Thomas}, title = {Differentiable Patch Selection for Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2351-2360} }

MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers

Huiyu Wang,

Yukun Zhu,

Hartwig Adam,

Alan Yuille,

Liang-Chieh Chen

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Huiyu and Zhu, Yukun and Adam, Hartwig and Yuille, Alan and Chen, Liang-Chieh}, title = {MaX-DeepLab: End-to-End Panoptic Segmentation With Mask Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5463-5474} }

Improving Transferability of Adversarial Patches on Face Recognition With Generative Models

Zihao Xiao,

Xianfeng Gao,

Chilin Fu,

Yinpeng Dong,

Wei Gao,

Xiaolu Zhang,

Jun Zhou,

Jun Zhu

[pdf] [supp]

[bibtex]

@InProceedings{Xiao_2021_CVPR, author = {Xiao, Zihao and Gao, Xianfeng and Fu, Chilin and Dong, Yinpeng and Gao, Wei and Zhang, Xiaolu and Zhou, Jun and Zhu, Jun}, title = {Improving Transferability of Adversarial Patches on Face Recognition With Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11845-11854} }

Counterfactual VQA: A Cause-Effect Look at Language Bias

Yulei Niu,

Kaihua Tang,

Hanwang Zhang,

Zhiwu Lu,

Xian-Sheng Hua,

Ji-Rong Wen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Niu_2021_CVPR, author = {Niu, Yulei and Tang, Kaihua and Zhang, Hanwang and Lu, Zhiwu and Hua, Xian-Sheng and Wen, Ji-Rong}, title = {Counterfactual VQA: A Cause-Effect Look at Language Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12700-12710} }

Denoise and Contrast for Category Agnostic Shape Completion

Antonio Alliegro,

Diego Valsesia,

Giulia Fracastoro,

Enrico Magli,

Tatiana Tommasi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Alliegro_2021_CVPR, author = {Alliegro, Antonio and Valsesia, Diego and Fracastoro, Giulia and Magli, Enrico and Tommasi, Tatiana}, title = {Denoise and Contrast for Category Agnostic Shape Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4629-4638} }

Transformation Invariant Few-Shot Object Detection

Aoxue Li,

Zhenguo Li

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Aoxue and Li, Zhenguo}, title = {Transformation Invariant Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3094-3102} }

2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition

Hengduo Li,

Zuxuan Wu,

Abhinav Shrivastava,

Larry S. Davis

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Hengduo and Wu, Zuxuan and Shrivastava, Abhinav and Davis, Larry S.}, title = {2D or not 2D? Adaptive 3D Convolution Selection for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6155-6164} }

Temporal Query Networks for Fine-Grained Video Understanding

Chuhan Zhang,

Ankush Gupta,

Andrew Zisserman

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Chuhan and Gupta, Ankush and Zisserman, Andrew}, title = {Temporal Query Networks for Fine-Grained Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4486-4496} }

Adversarial Generation of Continuous Images

Ivan Skorokhodov,

Savva Ignatyev,

Mohamed Elhoseiny

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Skorokhodov_2021_CVPR, author = {Skorokhodov, Ivan and Ignatyev, Savva and Elhoseiny, Mohamed}, title = {Adversarial Generation of Continuous Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10753-10764} }

UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation

Siddhesh Khandelwal,

Raghav Goyal,

Leonid Sigal

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Khandelwal_2021_CVPR, author = {Khandelwal, Siddhesh and Goyal, Raghav and Sigal, Leonid}, title = {UniT: Unified Knowledge Transfer for Any-Shot Object Detection and Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5951-5961} }

Indoor Panorama Planar 3D Reconstruction via Divide and Conquer

Cheng Sun,

Chi-Wei Hsiao,

Ning-Hsu Wang,

Min Sun,

Hwann-Tzong Chen

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Cheng and Hsiao, Chi-Wei and Wang, Ning-Hsu and Sun, Min and Chen, Hwann-Tzong}, title = {Indoor Panorama Planar 3D Reconstruction via Divide and Conquer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11338-11347} }

Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation

Tong Wu,

Junshi Huang,

Guangyu Gao,

Xiaoming Wei,

Xiaolin Wei,

Xuan Luo,

Chi Harold Liu

[pdf]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Tong and Huang, Junshi and Gao, Guangyu and Wei, Xiaoming and Wei, Xiaolin and Luo, Xuan and Liu, Chi Harold}, title = {Embedded Discriminative Attention Mechanism for Weakly Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16765-16774} }

TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text

Amanpreet Singh,

Guan Pang,

Mandy Toh,

Jing Huang,

Wojciech Galuba,

Tal Hassner

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singh_2021_CVPR, author = {Singh, Amanpreet and Pang, Guan and Toh, Mandy and Huang, Jing and Galuba, Wojciech and Hassner, Tal}, title = {TextOCR: Towards Large-Scale End-to-End Reasoning for Arbitrary-Shaped Scene Text}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8802-8812} }

Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy

Zikai Zhang,

Bineng Zhong,

Shengping Zhang,

Zhenjun Tang,

Xin Liu,

Zhaoxiang Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zikai and Zhong, Bineng and Zhang, Shengping and Tang, Zhenjun and Liu, Xin and Zhang, Zhaoxiang}, title = {Distractor-Aware Fast Tracking via Dynamic Convolutions and MOT Philosophy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1024-1033} }

Scaling Local Self-Attention for Parameter Efficient Visual Backbones

Ashish Vaswani,

Prajit Ramachandran,

Aravind Srinivas,

Niki Parmar,

Blake Hechtman,

Jonathon Shlens

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Vaswani_2021_CVPR, author = {Vaswani, Ashish and Ramachandran, Prajit and Srinivas, Aravind and Parmar, Niki and Hechtman, Blake and Shlens, Jonathon}, title = {Scaling Local Self-Attention for Parameter Efficient Visual Backbones}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12894-12904} }

Image Inpainting Guided by Coherence Priors of Semantics and Textures

Liang Liao,

Jing Xiao,

Zheng Wang,

Chia-Wen Lin,

Shin'ichi Satoh

[pdf] [arXiv]

[bibtex]

@InProceedings{Liao_2021_CVPR, author = {Liao, Liang and Xiao, Jing and Wang, Zheng and Lin, Chia-Wen and Satoh, Shin'ichi}, title = {Image Inpainting Guided by Coherence Priors of Semantics and Textures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6539-6548} }

Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation

Jianzhong He,

Xu Jia,

Shuaijun Chen,

Jianzhuang Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Jianzhong and Jia, Xu and Chen, Shuaijun and Liu, Jianzhuang}, title = {Multi-Source Domain Adaptation With Collaborative Learning for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11008-11017} }

Positive-Congruent Training: Towards Regression-Free Model Updates

Sijie Yan,

Yuanjun Xiong,

Kaustav Kundu,

Shuo Yang,

Siqi Deng,

Meng Wang,

Wei Xia,

Stefano Soatto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Sijie and Xiong, Yuanjun and Kundu, Kaustav and Yang, Shuo and Deng, Siqi and Wang, Meng and Xia, Wei and Soatto, Stefano}, title = {Positive-Congruent Training: Towards Regression-Free Model Updates}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14299-14308} }

FrameExit: Conditional Early Exiting for Efficient Video Recognition

Amir Ghodrati,

Babak Ehteshami Bejnordi,

Amirhossein Habibian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ghodrati_2021_CVPR, author = {Ghodrati, Amir and Bejnordi, Babak Ehteshami and Habibian, Amirhossein}, title = {FrameExit: Conditional Early Exiting for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15608-15618} }

Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images

Tao Huang,

Songjiang Li,

Xu Jia,

Huchuan Lu,

Jianzhuang Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Tao and Li, Songjiang and Jia, Xu and Lu, Huchuan and Liu, Jianzhuang}, title = {Neighbor2Neighbor: Self-Supervised Denoising From Single Noisy Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14781-14790} }

Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing

Tianfei Zhou,

Wenguan Wang,

Si Liu,

Yi Yang,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Tianfei and Wang, Wenguan and Liu, Si and Yang, Yi and Van Gool, Luc}, title = {Differentiable Multi-Granularity Human Representation Learning for Instance-Aware Human Semantic Parsing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1622-1631} }

Dynamic Weighted Learning for Unsupervised Domain Adaptation

Ni Xiao,

Lei Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Xiao_2021_CVPR, author = {Xiao, Ni and Zhang, Lei}, title = {Dynamic Weighted Learning for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15242-15251} }

Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias

Stefan Stojanov,

Anh Thai,

James M. Rehg

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Stojanov_2021_CVPR, author = {Stojanov, Stefan and Thai, Anh and Rehg, James M.}, title = {Using Shape To Categorize: Low-Shot Learning With an Explicit Shape Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1798-1808} }

Face Forensics in the Wild

Tianfei Zhou,

Wenguan Wang,

Zhiyuan Liang,

Jianbing Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Tianfei and Wang, Wenguan and Liang, Zhiyuan and Shen, Jianbing}, title = {Face Forensics in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5778-5788} }

Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain

Honggu Liu,

Xiaodan Li,

Wenbo Zhou,

Yuefeng Chen,

Yuan He,

Hui Xue,

Weiming Zhang,

Nenghai Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Honggu and Li, Xiaodan and Zhou, Wenbo and Chen, Yuefeng and He, Yuan and Xue, Hui and Zhang, Weiming and Yu, Nenghai}, title = {Spatial-Phase Shallow Learning: Rethinking Face Forgery Detection in Frequency Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {772-781} }

A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection

Keshigeyan Chandrasegaran,

Ngoc-Trung Tran,

Ngai-Man Cheung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chandrasegaran_2021_CVPR, author = {Chandrasegaran, Keshigeyan and Tran, Ngoc-Trung and Cheung, Ngai-Man}, title = {A Closer Look at Fourier Spectrum Discrepancies for CNN-Generated Images Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7200-7209} }

Learning Delaunay Surface Elements for Mesh Reconstruction

Marie-Julie Rakotosaona,

Paul Guerrero,

Noam Aigerman,

Niloy J. Mitra,

Maks Ovsjanikov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rakotosaona_2021_CVPR, author = {Rakotosaona, Marie-Julie and Guerrero, Paul and Aigerman, Noam and Mitra, Niloy J. and Ovsjanikov, Maks}, title = {Learning Delaunay Surface Elements for Mesh Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {22-31} }

FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems

Liang Tong,

Zhengzhang Chen,

Jingchao Ni,

Wei Cheng,

Dongjin Song,

Haifeng Chen,

Yevgeniy Vorobeychik

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tong_2021_CVPR, author = {Tong, Liang and Chen, Zhengzhang and Ni, Jingchao and Cheng, Wei and Song, Dongjin and Chen, Haifeng and Vorobeychik, Yevgeniy}, title = {FaceSec: A Fine-Grained Robustness Evaluation Framework for Face Recognition Systems}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13254-13263} }

Dynamic Head: Unifying Object Detection Heads With Attentions

Xiyang Dai,

Yinpeng Chen,

Bin Xiao,

Dongdong Chen,

Mengchen Liu,

Lu Yuan,

Lei Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Xiyang and Chen, Yinpeng and Xiao, Bin and Chen, Dongdong and Liu, Mengchen and Yuan, Lu and Zhang, Lei}, title = {Dynamic Head: Unifying Object Detection Heads With Attentions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7373-7382} }

Riggable 3D Face Reconstruction via In-Network Optimization

Ziqian Bai,

Zhaopeng Cui,

Xiaoming Liu,

Ping Tan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bai_2021_CVPR, author = {Bai, Ziqian and Cui, Zhaopeng and Liu, Xiaoming and Tan, Ping}, title = {Riggable 3D Face Reconstruction via In-Network Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6216-6225} }

One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing

Ting-Chun Wang,

Arun Mallya,

Ming-Yu Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Ting-Chun and Mallya, Arun and Liu, Ming-Yu}, title = {One-Shot Free-View Neural Talking-Head Synthesis for Video Conferencing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10039-10049} }

S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation

Xiaotian Chen,

Yuwang Wang,

Xuejin Chen,

Wenjun Zeng

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Xiaotian and Wang, Yuwang and Chen, Xuejin and Zeng, Wenjun}, title = {S2R-DepthNet: Learning a Generalizable Depth-Specific Structural Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3034-3043} }

Holistic 3D Human and Scene Mesh Estimation From Single View Images

Zhenzhen Weng,

Serena Yeung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Weng_2021_CVPR, author = {Weng, Zhenzhen and Yeung, Serena}, title = {Holistic 3D Human and Scene Mesh Estimation From Single View Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {334-343} }

MIST: Multiple Instance Spatial Transformer

Baptiste Angles,

Yuhe Jin,

Simon Kornblith,

Andrea Tagliasacchi,

Kwang Moo Yi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Angles_2021_CVPR, author = {Angles, Baptiste and Jin, Yuhe and Kornblith, Simon and Tagliasacchi, Andrea and Yi, Kwang Moo}, title = {MIST: Multiple Instance Spatial Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2412-2422} }

FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation

Yisheng He,

Haibin Huang,

Haoqiang Fan,

Qifeng Chen,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Yisheng and Huang, Haibin and Fan, Haoqiang and Chen, Qifeng and Sun, Jian}, title = {FFB6D: A Full Flow Bidirectional Fusion Network for 6D Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3003-3013} }

Shape From Sky: Polarimetric Normal Recovery Under the Sky

Tomoki Ichikawa,

Matthew Purri,

Ryo Kawahara,

Shohei Nobuhara,

Kristin Dana,

Ko Nishino

[pdf] [supp]

[bibtex]

@InProceedings{Ichikawa_2021_CVPR, author = {Ichikawa, Tomoki and Purri, Matthew and Kawahara, Ryo and Nobuhara, Shohei and Dana, Kristin and Nishino, Ko}, title = {Shape From Sky: Polarimetric Normal Recovery Under the Sky}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14832-14841} }

Adversarially Adaptive Normalization for Single Domain Generalization

Xinjie Fan,

Qifei Wang,

Junjie Ke,

Feng Yang,

Boqing Gong,

Mingyuan Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fan_2021_CVPR, author = {Fan, Xinjie and Wang, Qifei and Ke, Junjie and Yang, Feng and Gong, Boqing and Zhou, Mingyuan}, title = {Adversarially Adaptive Normalization for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8208-8217} }

Rethinking Channel Dimensions for Efficient Model Design

Dongyoon Han,

Sangdoo Yun,

Byeongho Heo,

YoungJoon Yoo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Han_2021_CVPR, author = {Han, Dongyoon and Yun, Sangdoo and Heo, Byeongho and Yoo, YoungJoon}, title = {Rethinking Channel Dimensions for Efficient Model Design}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {732-741} }

A Self-Boosting Framework for Automated Radiographic Report Generation

Zhanyu Wang,

Luping Zhou,

Lei Wang,

Xiu Li

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Zhanyu and Zhou, Luping and Wang, Lei and Li, Xiu}, title = {A Self-Boosting Framework for Automated Radiographic Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2433-2442} }

RAFT-3D: Scene Flow Using Rigid-Motion Embeddings

Zachary Teed,

Jia Deng

[pdf] [supp]

[bibtex]

@InProceedings{Teed_2021_CVPR, author = {Teed, Zachary and Deng, Jia}, title = {RAFT-3D: Scene Flow Using Rigid-Motion Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8375-8384} }

Orthogonal Over-Parameterized Training

Weiyang Liu,

Rongmei Lin,

Zhen Liu,

James M. Rehg,

Liam Paull,

Li Xiong,

Le Song,

Adrian Weller

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Weiyang and Lin, Rongmei and Liu, Zhen and Rehg, James M. and Paull, Liam and Xiong, Li and Song, Le and Weller, Adrian}, title = {Orthogonal Over-Parameterized Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7251-7260} }

Masksembles for Uncertainty Estimation

Nikita Durasov,

Timur Bagautdinov,

Pierre Baque,

Pascal Fua

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Durasov_2021_CVPR, author = {Durasov, Nikita and Bagautdinov, Timur and Baque, Pierre and Fua, Pascal}, title = {Masksembles for Uncertainty Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13539-13548} }

Network Pruning via Performance Maximization

Shangqian Gao,

Feihu Huang,

Weidong Cai,

Heng Huang

[pdf] [supp]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Shangqian and Huang, Feihu and Cai, Weidong and Huang, Heng}, title = {Network Pruning via Performance Maximization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9270-9280} }

Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation

Yuntong Ye,

Yi Chang,

Hanyu Zhou,

Luxin Yan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2021_CVPR, author = {Ye, Yuntong and Chang, Yi and Zhou, Hanyu and Yan, Luxin}, title = {Closing the Loop: Joint Rain Generation and Removal via Disentangled Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2053-2062} }

ACTION-Net: Multipath Excitation for Action Recognition

Zhengwei Wang,

Qi She,

Aljosa Smolic

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Zhengwei and She, Qi and Smolic, Aljosa}, title = {ACTION-Net: Multipath Excitation for Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13214-13223} }

Co-Attention for Conditioned Image Matching

Olivia Wiles,

Sebastien Ehrhardt,

Andrew Zisserman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wiles_2021_CVPR, author = {Wiles, Olivia and Ehrhardt, Sebastien and Zisserman, Andrew}, title = {Co-Attention for Conditioned Image Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15920-15929} }

EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events

Peiqi Duan,

Zihao W. Wang,

Xinyu Zhou,

Yi Ma,

Boxin Shi

[pdf] [supp]

[bibtex]

@InProceedings{Duan_2021_CVPR, author = {Duan, Peiqi and Wang, Zihao W. and Zhou, Xinyu and Ma, Yi and Shi, Boxin}, title = {EventZoom: Learning To Denoise and Super Resolve Neuromorphic Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12824-12833} }

Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels

Sangdoo Yun,

Seong Joon Oh,

Byeongho Heo,

Dongyoon Han,

Junsuk Choe,

Sanghyuk Chun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yun_2021_CVPR, author = {Yun, Sangdoo and Oh, Seong Joon and Heo, Byeongho and Han, Dongyoon and Choe, Junsuk and Chun, Sanghyuk}, title = {Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2340-2350} }

CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation

Xingran Zhou,

Bo Zhang,

Ting Zhang,

Pan Zhang,

Jianmin Bao,

Dong Chen,

Zhongfei Zhang,

Fang Wen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Xingran and Zhang, Bo and Zhang, Ting and Zhang, Pan and Bao, Jianmin and Chen, Dong and Zhang, Zhongfei and Wen, Fang}, title = {CoCosNet v2: Full-Resolution Correspondence Learning for Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11465-11475} }

SceneGraphFusion: Incremental 3D Scene Graph Prediction From RGB-D Sequences

Shun-Cheng Wu,

Johanna Wald,

Keisuke Tateno,

Nassir Navab,

Federico Tombari

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Shun-Cheng and Wald, Johanna and Tateno, Keisuke and Navab, Nassir and Tombari, Federico}, title = {SceneGraphFusion: Incremental 3D Scene Graph Prediction From RGB-D Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7515-7525} }

Interventional Video Grounding With Dual Contrastive Learning

Guoshun Nan,

Rui Qiao,

Yao Xiao,

Jun Liu,

Sicong Leng,

Hao Zhang,

Wei Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nan_2021_CVPR, author = {Nan, Guoshun and Qiao, Rui and Xiao, Yao and Liu, Jun and Leng, Sicong and Zhang, Hao and Lu, Wei}, title = {Interventional Video Grounding With Dual Contrastive Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2765-2775} }

A Fourier-Based Framework for Domain Generalization

Qinwei Xu,

Ruipeng Zhang,

Ya Zhang,

Yanfeng Wang,

Qi Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Qinwei and Zhang, Ruipeng and Zhang, Ya and Wang, Yanfeng and Tian, Qi}, title = {A Fourier-Based Framework for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14383-14392} }

Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation

Gengcong Yang,

Jingyi Zhang,

Yong Zhang,

Baoyuan Wu,

Yujiu Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Gengcong and Zhang, Jingyi and Zhang, Yong and Wu, Baoyuan and Yang, Yujiu}, title = {Probabilistic Modeling of Semantic Ambiguity for Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12527-12536} }

SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation

Sanghyun Son,

Kyoung Mu Lee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Son_2021_CVPR, author = {Son, Sanghyun and Lee, Kyoung Mu}, title = {SRWarp: Generalized Image Super-Resolution under Arbitrary Transformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7782-7791} }

IQDet: Instance-Wise Quality Distribution Sampling for Object Detection

Yuchen Ma,

Songtao Liu,

Zeming Li,

Jian Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Yuchen and Liu, Songtao and Li, Zeming and Sun, Jian}, title = {IQDet: Instance-Wise Quality Distribution Sampling for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1717-1725} }

Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans

Zhenyu Chen,

Ali Gholami,

Matthias Niessner,

Angel X. Chang

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zhenyu and Gholami, Ali and Niessner, Matthias and Chang, Angel X.}, title = {Scan2Cap: Context-Aware Dense Captioning in RGB-D Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3193-3203} }

NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering Using RGB Cameras

Xin Suo,

Yuheng Jiang,

Pei Lin,

Yingliang Zhang,

Minye Wu,

Kaiwen Guo,

Lan Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{Suo_2021_CVPR, author = {Suo, Xin and Jiang, Yuheng and Lin, Pei and Zhang, Yingliang and Wu, Minye and Guo, Kaiwen and Xu, Lan}, title = {NeuralHumanFVV: Real-Time Neural Volumetric Human Performance Rendering Using RGB Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6226-6237} }

Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation

Binghao Liu,

Yao Ding,

Jianbin Jiao,

Xiangyang Ji,

Qixiang Ye

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Binghao and Ding, Yao and Jiao, Jianbin and Ji, Xiangyang and Ye, Qixiang}, title = {Anti-Aliasing Semantic Reconstruction for Few-Shot Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9747-9756} }

Composing Photos Like a Photographer

Chaoyi Hong,

Shuaiyuan Du,

Ke Xian,

Hao Lu,

Zhiguo Cao,

Weicai Zhong

[pdf] [supp]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Chaoyi and Du, Shuaiyuan and Xian, Ke and Lu, Hao and Cao, Zhiguo and Zhong, Weicai}, title = {Composing Photos Like a Photographer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7057-7066} }

Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation

Ze Cui,

Jing Wang,

Shangyin Gao,

Tiansheng Guo,

Yihui Feng,

Bo Bai

[pdf] [supp]

[bibtex]

@InProceedings{Cui_2021_CVPR, author = {Cui, Ze and Wang, Jing and Gao, Shangyin and Guo, Tiansheng and Feng, Yihui and Bai, Bo}, title = {Asymmetric Gained Deep Image Compression With Continuous Rate Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10532-10541} }

Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs

Jianwei Feng,

Dong Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feng_2021_CVPR, author = {Feng, Jianwei and Huang, Dong}, title = {Optimal Gradient Checkpoint Search for Arbitrary Computation Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11433-11442} }

NBNet: Noise Basis Learning for Image Denoising With Subspace Projection

Shen Cheng,

Yuzhi Wang,

Haibin Huang,

Donghao Liu,

Haoqiang Fan,

Shuaicheng Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Shen and Wang, Yuzhi and Huang, Haibin and Liu, Donghao and Fan, Haoqiang and Liu, Shuaicheng}, title = {NBNet: Noise Basis Learning for Image Denoising With Subspace Projection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4896-4906} }

NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis

Pratul P. Srinivasan,

Boyang Deng,

Xiuming Zhang,

Matthew Tancik,

Ben Mildenhall,

Jonathan T. Barron

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Srinivasan_2021_CVPR, author = {Srinivasan, Pratul P. and Deng, Boyang and Zhang, Xiuming and Tancik, Matthew and Mildenhall, Ben and Barron, Jonathan T.}, title = {NeRV: Neural Reflectance and Visibility Fields for Relighting and View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7495-7504} }

How Transferable Are Reasoning Patterns in VQA?

Corentin Kervadec,

Theo Jaunet,

Grigory Antipov,

Moez Baccouche,

Romain Vuillemot,

Christian Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kervadec_2021_CVPR, author = {Kervadec, Corentin and Jaunet, Theo and Antipov, Grigory and Baccouche, Moez and Vuillemot, Romain and Wolf, Christian}, title = {How Transferable Are Reasoning Patterns in VQA?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4207-4216} }

DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping

Yanchao Yang,

Brian Lai,

Stefano Soatto

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Yanchao and Lai, Brian and Soatto, Stefano}, title = {DyStaB: Unsupervised Object Segmentation via Dynamic-Static Bootstrapping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2826-2836} }

Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity

Zhile Chen,

Feng Li,

Yuhui Quan,

Yong Xu,

Hui Ji

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zhile and Li, Feng and Quan, Yuhui and Xu, Yong and Ji, Hui}, title = {Deep Texture Recognition via Exploiting Cross-Layer Statistical Self-Similarity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5231-5240} }

Light Field Super-Resolution With Zero-Shot Learning

Zhen Cheng,

Zhiwei Xiong,

Chang Chen,

Dong Liu,

Zheng-Jun Zha

[pdf] [supp]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Zhen and Xiong, Zhiwei and Chen, Chang and Liu, Dong and Zha, Zheng-Jun}, title = {Light Field Super-Resolution With Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10010-10019} }

Spherical Confidence Learning for Face Recognition

Shen Li,

Jianqing Xu,

Xiaqing Xu,

Pengcheng Shen,

Shaoxin Li,

Bryan Hooi

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Shen and Xu, Jianqing and Xu, Xiaqing and Shen, Pengcheng and Li, Shaoxin and Hooi, Bryan}, title = {Spherical Confidence Learning for Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15629-15637} }

Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation

Lukas Hoyer,

Dengxin Dai,

Yuhua Chen,

Adrian Koring,

Suman Saha,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hoyer_2021_CVPR, author = {Hoyer, Lukas and Dai, Dengxin and Chen, Yuhua and Koring, Adrian and Saha, Suman and Van Gool, Luc}, title = {Three Ways To Improve Semantic Segmentation With Self-Supervised Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11130-11140} }

Cross-Modal Contrastive Learning for Text-to-Image Generation

Han Zhang,

Jing Yu Koh,

Jason Baldridge,

Honglak Lee,

Yinfei Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Han and Koh, Jing Yu and Baldridge, Jason and Lee, Honglak and Yang, Yinfei}, title = {Cross-Modal Contrastive Learning for Text-to-Image Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {833-842} }

Lifting 2D StyleGAN for 3D-Aware Face Generation

Yichun Shi,

Divyansh Aggarwal,

Anil K. Jain

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Yichun and Aggarwal, Divyansh and Jain, Anil K.}, title = {Lifting 2D StyleGAN for 3D-Aware Face Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6258-6266} }

iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis

Xin Liu,

Henglin Shi,

Haoyu Chen,

Zitong Yu,

Xiaobai Li,

Guoying Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Xin and Shi, Henglin and Chen, Haoyu and Yu, Zitong and Li, Xiaobai and Zhao, Guoying}, title = {iMiGUE: An Identity-Free Video Dataset for Micro-Gesture Understanding and Emotion Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10631-10642} }

MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection

Vibashan VS,

Vikram Gupta,

Poojan Oza,

Vishwanath A. Sindagi,

Vishal M. Patel

[pdf] [supp]

[bibtex]

@InProceedings{VS_2021_CVPR, author = {VS, Vibashan and Gupta, Vikram and Oza, Poojan and Sindagi, Vishwanath A. and Patel, Vishal M.}, title = {MeGA-CDA: Memory Guided Attention for Category-Aware Unsupervised Domain Adaptive Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4516-4526} }

Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food

Quin Thames,

Arjun Karpur,

Wade Norris,

Fangting Xia,

Liviu Panait,

Tobias Weyand,

Jack Sim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Thames_2021_CVPR, author = {Thames, Quin and Karpur, Arjun and Norris, Wade and Xia, Fangting and Panait, Liviu and Weyand, Tobias and Sim, Jack}, title = {Nutrition5k: Towards Automatic Nutritional Understanding of Generic Food}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8903-8911} }

Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model

Ben Moseley,

Valentin Bickel,

Ignacio G. Lopez-Francos,

Loveneesh Rana

[pdf] [supp]

[bibtex]

@InProceedings{Moseley_2021_CVPR, author = {Moseley, Ben and Bickel, Valentin and Lopez-Francos, Ignacio G. and Rana, Loveneesh}, title = {Extreme Low-Light Environment-Driven Image Denoising Over Permanently Shadowed Lunar Regions With a Physical Noise Model}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6317-6327} }

Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision

Zhenzhen Weng,

Mehmet Giray Ogut,

Shai Limonchik,

Serena Yeung

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Weng_2021_CVPR, author = {Weng, Zhenzhen and Ogut, Mehmet Giray and Limonchik, Shai and Yeung, Serena}, title = {Unsupervised Discovery of the Long-Tail in Instance Segmentation Using Hierarchical Self-Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2603-2612} }

How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines

Kunal Chelani,

Fredrik Kahl,

Torsten Sattler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chelani_2021_CVPR, author = {Chelani, Kunal and Kahl, Fredrik and Sattler, Torsten}, title = {How Privacy-Preserving Are Line Clouds? Recovering Scene Details From 3D Lines}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15668-15678} }

Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance

Ziang Cheng,

Hongdong Li,

Yuta Asano,

Yinqiang Zheng,

Imari Sato

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ziang and Li, Hongdong and Asano, Yuta and Zheng, Yinqiang and Sato, Imari}, title = {Multi-View 3D Reconstruction of a Texture-Less Smooth Surface of Unknown Generic Reflectance}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16226-16235} }

Rectification-Based Knowledge Retention for Continual Learning

Pravendra Singh,

Pratik Mazumder,

Piyush Rai,

Vinay P. Namboodiri

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singh_2021_CVPR, author = {Singh, Pravendra and Mazumder, Pratik and Rai, Piyush and Namboodiri, Vinay P.}, title = {Rectification-Based Knowledge Retention for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15282-15291} }

Scale-Aware Automatic Augmentation for Object Detection

Yukang Chen,

Yanwei Li,

Tao Kong,

Lu Qi,

Ruihang Chu,

Lei Li,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Yukang and Li, Yanwei and Kong, Tao and Qi, Lu and Chu, Ruihang and Li, Lei and Jia, Jiaya}, title = {Scale-Aware Automatic Augmentation for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9563-9572} }

Towards Robust Classification Model by Counterfactual and Invariant Data Generation

Chun-Hao Chang,

George Alexandru Adam,

Anna Goldenberg

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chang_2021_CVPR, author = {Chang, Chun-Hao and Adam, George Alexandru and Goldenberg, Anna}, title = {Towards Robust Classification Model by Counterfactual and Invariant Data Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15212-15221} }

Fully Convolutional Networks for Panoptic Segmentation

Yanwei Li,

Hengshuang Zhao,

Xiaojuan Qi,

Liwei Wang,

Zeming Li,

Jian Sun,

Jiaya Jia

[pdf] [arXiv]

[bibtex]

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

Benchmarking Representation Learning for Natural World Image Collections

Grant Van Horn,

Elijah Cole,

Sara Beery,

Kimberly Wilber,

Serge Belongie,

Oisin Mac Aodha

[pdf] [arXiv]

[bibtex]

@InProceedings{Van_Horn_2021_CVPR, author = {Van Horn, Grant and Cole, Elijah and Beery, Sara and Wilber, Kimberly and Belongie, Serge and Mac Aodha, Oisin}, title = {Benchmarking Representation Learning for Natural World Image Collections}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12884-12893} }

PGT: A Progressive Method for Training Models on Long Videos

Bo Pang,

Gao Peng,

Yizhuo Li,

Cewu Lu

[pdf] [arXiv]

[bibtex]

@InProceedings{Pang_2021_CVPR, author = {Pang, Bo and Peng, Gao and Li, Yizhuo and Lu, Cewu}, title = {PGT: A Progressive Method for Training Models on Long Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11379-11389} }

Prioritized Architecture Sampling With Monto-Carlo Tree Search

Xiu Su,

Tao Huang,

Yanxi Li,

Shan You,

Fei Wang,

Chen Qian,

Changshui Zhang,

Chang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Su_2021_CVPR, author = {Su, Xiu and Huang, Tao and Li, Yanxi and You, Shan and Wang, Fei and Qian, Chen and Zhang, Changshui and Xu, Chang}, title = {Prioritized Architecture Sampling With Monto-Carlo Tree Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10968-10977} }

HumanGPS: Geodesic PreServing Feature for Dense Human Correspondences

Feitong Tan,

Danhang Tang,

Mingsong Dou,

Kaiwen Guo,

Rohit Pandey,

Cem Keskin,

Ruofei Du,

Deqing Sun,

Sofien Bouaziz,

Sean Fanello,

Ping Tan,

Yinda Zhang

[pdf] [supp] [arXiv]

[bibtex]

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

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

Shancheng Fang,

Hongtao Xie,

Yuxin Wang,

Zhendong Mao,

Yongdong Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fang_2021_CVPR, author = {Fang, Shancheng and Xie, Hongtao and Wang, Yuxin and Mao, Zhendong and Zhang, Yongdong}, title = {Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7098-7107} }

Generic Perceptual Loss for Modeling Structured Output Dependencies

Yifan Liu,

Hao Chen,

Yu Chen,

Wei Yin,

Chunhua Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yifan and Chen, Hao and Chen, Yu and Yin, Wei and Shen, Chunhua}, title = {Generic Perceptual Loss for Modeling Structured Output Dependencies}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5424-5432} }

Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion

Chulin Xie,

Chuxin Wang,

Bo Zhang,

Hao Yang,

Dong Chen,

Fang Wen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2021_CVPR, author = {Xie, Chulin and Wang, Chuxin and Zhang, Bo and Yang, Hao and Chen, Dong and Wen, Fang}, title = {Style-Based Point Generator With Adversarial Rendering for Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4619-4628} }

Neural Architecture Search With Random Labels

Xuanyang Zhang,

Pengfei Hou,

Xiangyu Zhang,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xuanyang and Hou, Pengfei and Zhang, Xiangyu and Sun, Jian}, title = {Neural Architecture Search With Random Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10907-10916} }

Towards Long-Form Video Understanding

Chao-Yuan Wu,

Philipp Krahenbuhl

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Chao-Yuan and Krahenbuhl, Philipp}, title = {Towards Long-Form Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1884-1894} }

Shape and Material Capture at Home

Daniel Lichy,

Jiaye Wu,

Soumyadip Sengupta,

David W. Jacobs

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lichy_2021_CVPR, author = {Lichy, Daniel and Wu, Jiaye and Sengupta, Soumyadip and Jacobs, David W.}, title = {Shape and Material Capture at Home}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6123-6133} }

Deep Polarization Imaging for 3D Shape and SVBRDF Acquisition

Valentin Deschaintre,

Yiming Lin,

Abhijeet Ghosh

[pdf] [arXiv]

[bibtex]

@InProceedings{Deschaintre_2021_CVPR, author = {Deschaintre, Valentin and Lin, Yiming and Ghosh, Abhijeet}, title = {Deep Polarization Imaging for 3D Shape and SVBRDF Acquisition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15567-15576} }

Convolutional Neural Network Pruning With Structural Redundancy Reduction

Zi Wang,

Chengcheng Li,

Xiangyang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Zi and Li, Chengcheng and Wang, Xiangyang}, title = {Convolutional Neural Network Pruning With Structural Redundancy Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14913-14922} }

T-vMF Similarity for Regularizing Intra-Class Feature Distribution

Takumi Kobayashi

[pdf] [supp]

[bibtex]

@InProceedings{Kobayashi_2021_CVPR, author = {Kobayashi, Takumi}, title = {T-vMF Similarity for Regularizing Intra-Class Feature Distribution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6616-6625} }

Surrogate Gradient Field for Latent Space Manipulation

Minjun Li,

Yanghua Jin,

Huachun Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Minjun and Jin, Yanghua and Zhu, Huachun}, title = {Surrogate Gradient Field for Latent Space Manipulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6529-6538} }

SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation

Siqi Fan,

Qiulei Dong,

Fenghua Zhu,

Yisheng Lv,

Peijun Ye,

Fei-Yue Wang

[pdf]

[bibtex]

@InProceedings{Fan_2021_CVPR, author = {Fan, Siqi and Dong, Qiulei and Zhu, Fenghua and Lv, Yisheng and Ye, Peijun and Wang, Fei-Yue}, title = {SCF-Net: Learning Spatial Contextual Features for Large-Scale Point Cloud Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14504-14513} }

UnsupervisedR&R: Unsupervised Point Cloud Registration via Differentiable Rendering

Mohamed El Banani,

Luya Gao,

Justin Johnson

[pdf] [supp]

[bibtex]

@InProceedings{El_Banani_2021_CVPR, author = {El Banani, Mohamed and Gao, Luya and Johnson, Justin}, title = {UnsupervisedR\&R: Unsupervised Point Cloud Registration via Differentiable Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7129-7139} }

ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media

Zheng Shi,

Ethan Tseng,

Mario Bijelic,

Werner Ritter,

Felix Heide

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Zheng and Tseng, Ethan and Bijelic, Mario and Ritter, Werner and Heide, Felix}, title = {ZeroScatter: Domain Transfer for Long Distance Imaging and Vision Through Scattering Media}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3476-3486} }

Defending Multimodal Fusion Models Against Single-Source Adversaries

Karren Yang,

Wan-Yi Lin,

Manash Barman,

Filipe Condessa,

Zico Kolter

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Karren and Lin, Wan-Yi and Barman, Manash and Condessa, Filipe and Kolter, Zico}, title = {Defending Multimodal Fusion Models Against Single-Source Adversaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3340-3349} }

Generalized Domain Adaptation

Yu Mitsuzumi,

Go Irie,

Daiki Ikami,

Takashi Shibata

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mitsuzumi_2021_CVPR, author = {Mitsuzumi, Yu and Irie, Go and Ikami, Daiki and Shibata, Takashi}, title = {Generalized Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1084-1093} }

AGORA: Avatars in Geography Optimized for Regression Analysis

Priyanka Patel,

Chun-Hao P. Huang,

Joachim Tesch,

David T. Hoffmann,

Shashank Tripathi,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Patel_2021_CVPR, author = {Patel, Priyanka and Huang, Chun-Hao P. and Tesch, Joachim and Hoffmann, David T. and Tripathi, Shashank and Black, Michael J.}, title = {AGORA: Avatars in Geography Optimized for Regression Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13468-13478} }

Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation

Fenglin Liu,

Xian Wu,

Shen Ge,

Wei Fan,

Yuexian Zou

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Fenglin and Wu, Xian and Ge, Shen and Fan, Wei and Zou, Yuexian}, title = {Exploring and Distilling Posterior and Prior Knowledge for Radiology Report Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13753-13762} }

Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging

Alvaro Parra,

Shin-Fang Chng,

Tat-Jun Chin,

Anders Eriksson,

Ian Reid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Parra_2021_CVPR, author = {Parra, Alvaro and Chng, Shin-Fang and Chin, Tat-Jun and Eriksson, Anders and Reid, Ian}, title = {Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4298-4307} }

Extreme Rotation Estimation Using Dense Correlation Volumes

Ruojin Cai,

Bharath Hariharan,

Noah Snavely,

Hadar Averbuch-Elor

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cai_2021_CVPR, author = {Cai, Ruojin and Hariharan, Bharath and Snavely, Noah and Averbuch-Elor, Hadar}, title = {Extreme Rotation Estimation Using Dense Correlation Volumes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14566-14575} }

Capsule Network Is Not More Robust Than Convolutional Network

Jindong Gu,

Volker Tresp,

Han Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gu_2021_CVPR, author = {Gu, Jindong and Tresp, Volker and Hu, Han}, title = {Capsule Network Is Not More Robust Than Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14309-14317} }

BASAR:Black-Box Attack on Skeletal Action Recognition

Yunfeng Diao,

Tianjia Shao,

Yong-Liang Yang,

Kun Zhou,

He Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Diao_2021_CVPR, author = {Diao, Yunfeng and Shao, Tianjia and Yang, Yong-Liang and Zhou, Kun and Wang, He}, title = {BASAR:Black-Box Attack on Skeletal Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7597-7607} }

Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models

Benjamin Eckart,

Wentao Yuan,

Chao Liu,

Jan Kautz

[pdf] [supp]

[bibtex]

@InProceedings{Eckart_2021_CVPR, author = {Eckart, Benjamin and Yuan, Wentao and Liu, Chao and Kautz, Jan}, title = {Self-Supervised Learning on 3D Point Clouds by Learning Discrete Generative Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8248-8257} }

Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations

Wang Yifan,

Shihao Wu,

Cengiz Oztireli,

Olga Sorkine-Hornung

[pdf] [supp]

[bibtex]

@InProceedings{Yifan_2021_CVPR, author = {Yifan, Wang and Wu, Shihao and Oztireli, Cengiz and Sorkine-Hornung, Olga}, title = {Iso-Points: Optimizing Neural Implicit Surfaces With Hybrid Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {374-383} }

Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection

Hanzhe Hu,

Shuai Bai,

Aoxue Li,

Jinshi Cui,

Liwei Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Hanzhe and Bai, Shuai and Li, Aoxue and Cui, Jinshi and Wang, Liwei}, title = {Dense Relation Distillation With Context-Aware Aggregation for Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10185-10194} }

End-to-End Human Object Interaction Detection With HOI Transformer

Cheng Zou,

Bohan Wang,

Yue Hu,

Junqi Liu,

Qian Wu,

Yu Zhao,

Boxun Li,

Chenguang Zhang,

Chi Zhang,

Yichen Wei,

Jian Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Zou_2021_CVPR, author = {Zou, Cheng and Wang, Bohan and Hu, Yue and Liu, Junqi and Wu, Qian and Zhao, Yu and Li, Boxun and Zhang, Chenguang and Zhang, Chi and Wei, Yichen and Sun, Jian}, title = {End-to-End Human Object Interaction Detection With HOI Transformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11825-11834} }

How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections?

Kartikeya Bhardwaj,

Guihong Li,

Radu Marculescu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bhardwaj_2021_CVPR, author = {Bhardwaj, Kartikeya and Li, Guihong and Marculescu, Radu}, title = {How Does Topology Influence Gradient Propagation and Model Performance of Deep Networks With DenseNet-Type Skip Connections?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13498-13507} }

Multi-Shot Temporal Event Localization: A Benchmark

Xiaolong Liu,

Yao Hu,

Song Bai,

Fei Ding,

Xiang Bai,

Philip H. S. Torr

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Xiaolong and Hu, Yao and Bai, Song and Ding, Fei and Bai, Xiang and Torr, Philip H. S.}, title = {Multi-Shot Temporal Event Localization: A Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12596-12606} }

We Are More Than Our Joints: Predicting How 3D Bodies Move

Yan Zhang,

Michael J. Black,

Siyu Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yan and Black, Michael J. and Tang, Siyu}, title = {We Are More Than Our Joints: Predicting How 3D Bodies Move}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3372-3382} }

Spatially-Adaptive Pixelwise Networks for Fast Image Translation

Tamar Rott Shaham,

Michael Gharbi,

Richard Zhang,

Eli Shechtman,

Tomer Michaeli

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shaham_2021_CVPR, author = {Shaham, Tamar Rott and Gharbi, Michael and Zhang, Richard and Shechtman, Eli and Michaeli, Tomer}, title = {Spatially-Adaptive Pixelwise Networks for Fast Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14882-14891} }

PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation

Xiangtai Li,

Hao He,

Xia Li,

Duo Li,

Guangliang Cheng,

Jianping Shi,

Lubin Weng,

Yunhai Tong,

Zhouchen Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Xiangtai and He, Hao and Li, Xia and Li, Duo and Cheng, Guangliang and Shi, Jianping and Weng, Lubin and Tong, Yunhai and Lin, Zhouchen}, title = {PointFlow: Flowing Semantics Through Points for Aerial Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4217-4226} }

Deep Stable Learning for Out-of-Distribution Generalization

Xingxuan Zhang,

Peng Cui,

Renzhe Xu,

Linjun Zhou,

Yue He,

Zheyan Shen

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xingxuan and Cui, Peng and Xu, Renzhe and Zhou, Linjun and He, Yue and Shen, Zheyan}, title = {Deep Stable Learning for Out-of-Distribution Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5372-5382} }

Continual Learning via Bit-Level Information Preserving

Yujun Shi,

Li Yuan,

Yunpeng Chen,

Jiashi Feng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Yujun and Yuan, Li and Chen, Yunpeng and Feng, Jiashi}, title = {Continual Learning via Bit-Level Information Preserving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16674-16683} }

Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting

Ayan Kumar Bhunia,

Pinaki Nath Chowdhury,

Yongxin Yang,

Timothy M. Hospedales,

Tao Xiang,

Yi-Zhe Song

[pdf] [arXiv]

[bibtex]

@InProceedings{Bhunia_2021_CVPR, author = {Bhunia, Ayan Kumar and Chowdhury, Pinaki Nath and Yang, Yongxin and Hospedales, Timothy M. and Xiang, Tao and Song, Yi-Zhe}, title = {Vectorization and Rasterization: Self-Supervised Learning for Sketch and Handwriting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5672-5681} }

Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE

Jialun Peng,

Dong Liu,

Songcen Xu,

Houqiang Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Peng_2021_CVPR, author = {Peng, Jialun and Liu, Dong and Xu, Songcen and Li, Houqiang}, title = {Generating Diverse Structure for Image Inpainting With Hierarchical VQ-VAE}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10775-10784} }

Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation

Mingi Ji,

Seungjae Shin,

Seunghyun Hwang,

Gibeom Park,

Il-Chul Moon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ji_2021_CVPR, author = {Ji, Mingi and Shin, Seungjae and Hwang, Seunghyun and Park, Gibeom and Moon, Il-Chul}, title = {Refine Myself by Teaching Myself: Feature Refinement via Self-Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10664-10673} }

Self-Supervised Visibility Learning for Novel View Synthesis

Yujiao Shi,

Hongdong Li,

Xin Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Yujiao and Li, Hongdong and Yu, Xin}, title = {Self-Supervised Visibility Learning for Novel View Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9675-9684} }

End-to-End Human Pose and Mesh Reconstruction with Transformers

Kevin Lin,

Lijuan Wang,

Zicheng Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Kevin and Wang, Lijuan and Liu, Zicheng}, title = {End-to-End Human Pose and Mesh Reconstruction with Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1954-1963} }

CapsuleRRT: Relationships-Aware Regression Tracking via Capsules

Ding Ma,

Xiangqian Wu

[pdf]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Ding and Wu, Xiangqian}, title = {CapsuleRRT: Relationships-Aware Regression Tracking via Capsules}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10948-10957} }

Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning

Zhixiang Chi,

Yang Wang,

Yuanhao Yu,

Jin Tang

[pdf] [supp]

[bibtex]

@InProceedings{Chi_2021_CVPR, author = {Chi, Zhixiang and Wang, Yang and Yu, Yuanhao and Tang, Jin}, title = {Test-Time Fast Adaptation for Dynamic Scene Deblurring via Meta-Auxiliary Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9137-9146} }

Anycost GANs for Interactive Image Synthesis and Editing

Ji Lin,

Richard Zhang,

Frieder Ganz,

Song Han,

Jun-Yan Zhu

[pdf] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Ji and Zhang, Richard and Ganz, Frieder and Han, Song and Zhu, Jun-Yan}, title = {Anycost GANs for Interactive Image Synthesis and Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14986-14996} }

TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors

Simon Suo,

Sebastian Regalado,

Sergio Casas,

Raquel Urtasun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Suo_2021_CVPR, author = {Suo, Simon and Regalado, Sebastian and Casas, Sergio and Urtasun, Raquel}, title = {TrafficSim: Learning To Simulate Realistic Multi-Agent Behaviors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10400-10409} }

Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks

Yu Cheng,

Bo Wang,

Bo Yang,

Robby T. Tan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Yu and Wang, Bo and Yang, Bo and Tan, Robby T.}, title = {Monocular 3D Multi-Person Pose Estimation by Integrating Top-Down and Bottom-Up Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7649-7659} }

Space-Time Distillation for Video Super-Resolution

Zeyu Xiao,

Xueyang Fu,

Jie Huang,

Zhen Cheng,

Zhiwei Xiong

[pdf] [supp]

[bibtex]

@InProceedings{Xiao_2021_CVPR, author = {Xiao, Zeyu and Fu, Xueyang and Huang, Jie and Cheng, Zhen and Xiong, Zhiwei}, title = {Space-Time Distillation for Video Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2113-2122} }

Robust Audio-Visual Instance Discrimination

Pedro Morgado,

Ishan Misra,

Nuno Vasconcelos

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Morgado_2021_CVPR, author = {Morgado, Pedro and Misra, Ishan and Vasconcelos, Nuno}, title = {Robust Audio-Visual Instance Discrimination}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12934-12945} }

High-Fidelity and Arbitrary Face Editing

Yue Gao,

Fangyun Wei,

Jianmin Bao,

Shuyang Gu,

Dong Chen,

Fang Wen,

Zhouhui Lian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Yue and Wei, Fangyun and Bao, Jianmin and Gu, Shuyang and Chen, Dong and Wen, Fang and Lian, Zhouhui}, title = {High-Fidelity and Arbitrary Face Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16115-16124} }

Explicit Knowledge Incorporation for Visual Reasoning

Yifeng Zhang,

Ming Jiang,

Qi Zhao

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yifeng and Jiang, Ming and Zhao, Qi}, title = {Explicit Knowledge Incorporation for Visual Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1356-1365} }

Progressive Unsupervised Learning for Visual Object Tracking

Qiangqiang Wu,

Jia Wan,

Antoni B. Chan

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Qiangqiang and Wan, Jia and Chan, Antoni B.}, title = {Progressive Unsupervised Learning for Visual Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2993-3002} }

IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking

Shuai Jia,

Yibing Song,

Chao Ma,

Xiaokang Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Jia_2021_CVPR, author = {Jia, Shuai and Song, Yibing and Ma, Chao and Yang, Xiaokang}, title = {IoU Attack: Towards Temporally Coherent Black-Box Adversarial Attack for Visual Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6709-6718} }

Deep Graph Matching Under Quadratic Constraint

Quankai Gao,

Fudong Wang,

Nan Xue,

Jin-Gang Yu,

Gui-Song Xia

[pdf] [arXiv]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Quankai and Wang, Fudong and Xue, Nan and Yu, Jin-Gang and Xia, Gui-Song}, title = {Deep Graph Matching Under Quadratic Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5069-5078} }

Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations

Yanyi Zhang,

Xinyu Li,

Ivan Marsic

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yanyi and Li, Xinyu and Marsic, Ivan}, title = {Multi-Label Activity Recognition Using Activity-Specific Features and Activity Correlations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14625-14635} }

Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos

Yasamin Jafarian,

Hyun Soo Park

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jafarian_2021_CVPR, author = {Jafarian, Yasamin and Park, Hyun Soo}, title = {Learning High Fidelity Depths of Dressed Humans by Watching Social Media Dance Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12753-12762} }

Unpaired Image-to-Image Translation via Latent Energy Transport

Yang Zhao,

Changyou Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yang and Chen, Changyou}, title = {Unpaired Image-to-Image Translation via Latent Energy Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16418-16427} }

VLN BERT: A Recurrent Vision-and-Language BERT for Navigation

Yicong Hong,

Qi Wu,

Yuankai Qi,

Cristian Rodriguez-Opazo,

Stephen Gould

[pdf] [supp]

[bibtex]

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

Content-Aware GAN Compression

Yuchen Liu,

Zhixin Shu,

Yijun Li,

Zhe Lin,

Federico Perazzi,

Sun-Yuan Kung

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yuchen and Shu, Zhixin and Li, Yijun and Lin, Zhe and Perazzi, Federico and Kung, Sun-Yuan}, title = {Content-Aware GAN Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12156-12166} }

FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise

Jaeseok Byun,

Sungmin Cha,

Taesup Moon

[pdf] [supp]

[bibtex]

@InProceedings{Byun_2021_CVPR, author = {Byun, Jaeseok and Cha, Sungmin and Moon, Taesup}, title = {FBI-Denoiser: Fast Blind Image Denoiser for Poisson-Gaussian Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5768-5777} }

Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs

Hui-Po Wang,

Ning Yu,

Mario Fritz

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Hui-Po and Yu, Ning and Fritz, Mario}, title = {Hijack-GAN: Unintended-Use of Pretrained, Black-Box GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7872-7881} }

LiDAR R-CNN: An Efficient and Universal 3D Object Detector

Zhichao Li,

Feng Wang,

Naiyan Wang

[pdf]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Zhichao and Wang, Feng and Wang, Naiyan}, title = {LiDAR R-CNN: An Efficient and Universal 3D Object Detector}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7546-7555} }

Line Segment Detection Using Transformers Without Edges

Yifan Xu,

Weijian Xu,

David Cheung,

Zhuowen Tu

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Yifan and Xu, Weijian and Cheung, David and Tu, Zhuowen}, title = {Line Segment Detection Using Transformers Without Edges}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4257-4266} }

Region-Aware Adaptive Instance Normalization for Image Harmonization

Jun Ling,

Han Xue,

Li Song,

Rong Xie,

Xiao Gu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ling_2021_CVPR, author = {Ling, Jun and Xue, Han and Song, Li and Xie, Rong and Gu, Xiao}, title = {Region-Aware Adaptive Instance Normalization for Image Harmonization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9361-9370} }

Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction

Shipeng Zhang,

Lizhi Wang,

Lei Zhang,

Hua Huang

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shipeng and Wang, Lizhi and Zhang, Lei and Huang, Hua}, title = {Learning Tensor Low-Rank Prior for Hyperspectral Image Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12006-12015} }

Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks

Takuhiro Kaneko

[pdf]

[bibtex]

@InProceedings{Kaneko_2021_CVPR, author = {Kaneko, Takuhiro}, title = {Unsupervised Learning of Depth and Depth-of-Field Effect From Natural Images With Aperture Rendering Generative Adversarial Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15679-15688} }

Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds

Wenbin Zhao,

Jiabao Lei,

Yuxin Wen,

Jianguo Zhang,

Kui Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Wenbin and Lei, Jiabao and Wen, Yuxin and Zhang, Jianguo and Jia, Kui}, title = {Sign-Agnostic Implicit Learning of Surface Self-Similarities for Shape Modeling and Reconstruction From Raw Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10256-10265} }

Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark

Xiao Wang,

Xiujun Shu,

Zhipeng Zhang,

Bo Jiang,

Yaowei Wang,

Yonghong Tian,

Feng Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xiao and Shu, Xiujun and Zhang, Zhipeng and Jiang, Bo and Wang, Yaowei and Tian, Yonghong and Wu, Feng}, title = {Towards More Flexible and Accurate Object Tracking With Natural Language: Algorithms and Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13763-13773} }

On Learning the Geodesic Path for Incremental Learning

Christian Simon,

Piotr Koniusz,

Mehrtash Harandi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Simon_2021_CVPR, author = {Simon, Christian and Koniusz, Piotr and Harandi, Mehrtash}, title = {On Learning the Geodesic Path for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1591-1600} }

The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models

Tianlong Chen,

Jonathan Frankle,

Shiyu Chang,

Sijia Liu,

Yang Zhang,

Michael Carbin,

Zhangyang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Tianlong and Frankle, Jonathan and Chang, Shiyu and Liu, Sijia and Zhang, Yang and Carbin, Michael and Wang, Zhangyang}, title = {The Lottery Tickets Hypothesis for Supervised and Self-Supervised Pre-Training in Computer Vision Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16306-16316} }

Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning

Mingjie Sun,

Jimin Xiao,

Eng Gee Lim

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Mingjie and Xiao, Jimin and Lim, Eng Gee}, title = {Iterative Shrinking for Referring Expression Grounding Using Deep Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14060-14069} }

Simulating Unknown Target Models for Query-Efficient Black-Box Attacks

Chen Ma,

Li Chen,

Jun-Hai Yong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Chen and Chen, Li and Yong, Jun-Hai}, title = {Simulating Unknown Target Models for Query-Efficient Black-Box Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11835-11844} }

Diffusion Probabilistic Models for 3D Point Cloud Generation

Shitong Luo,

Wei Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2021_CVPR, author = {Luo, Shitong and Hu, Wei}, title = {Diffusion Probabilistic Models for 3D Point Cloud Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2837-2845} }

Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration

Liyuan Pan,

Shah Chowdhury,

Richard Hartley,

Miaomiao Liu,

Hongguang Zhang,

Hongdong Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Pan_2021_CVPR, author = {Pan, Liyuan and Chowdhury, Shah and Hartley, Richard and Liu, Miaomiao and Zhang, Hongguang and Li, Hongdong}, title = {Dual Pixel Exploration: Simultaneous Depth Estimation and Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4340-4349} }

Guided Integrated Gradients: An Adaptive Path Method for Removing Noise

Andrei Kapishnikov,

Subhashini Venugopalan,

Besim Avci,

Ben Wedin,

Michael Terry,

Tolga Bolukbasi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kapishnikov_2021_CVPR, author = {Kapishnikov, Andrei and Venugopalan, Subhashini and Avci, Besim and Wedin, Ben and Terry, Michael and Bolukbasi, Tolga}, title = {Guided Integrated Gradients: An Adaptive Path Method for Removing Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5050-5058} }

Spatiotemporal Registration for Event-Based Visual Odometry

Daqi Liu,

Alvaro Parra,

Tat-Jun Chin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Daqi and Parra, Alvaro and Chin, Tat-Jun}, title = {Spatiotemporal Registration for Event-Based Visual Odometry}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4937-4946} }

Temporal Action Segmentation From Timestamp Supervision

Zhe Li,

Yazan Abu Farha,

Jurgen Gall

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Zhe and Abu Farha, Yazan and Gall, Jurgen}, title = {Temporal Action Segmentation From Timestamp Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8365-8374} }

Data-Free Model Extraction

Jean-Baptiste Truong,

Pratyush Maini,

Robert J. Walls,

Nicolas Papernot

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Truong_2021_CVPR, author = {Truong, Jean-Baptiste and Maini, Pratyush and Walls, Robert J. and Papernot, Nicolas}, title = {Data-Free Model Extraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4771-4780} }

PointAugmenting: Cross-Modal Augmentation for 3D Object Detection

Chunwei Wang,

Chao Ma,

Ming Zhu,

Xiaokang Yang

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Chunwei and Ma, Chao and Zhu, Ming and Yang, Xiaokang}, title = {PointAugmenting: Cross-Modal Augmentation for 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11794-11803} }

Learning Feature Aggregation for Deep 3D Morphable Models

Zhixiang Chen,

Tae-Kyun Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zhixiang and Kim, Tae-Kyun}, title = {Learning Feature Aggregation for Deep 3D Morphable Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13164-13173} }

There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge

Francisco Rivera Valverde,

Juana Valeria Hurtado,

Abhinav Valada

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Valverde_2021_CVPR, author = {Valverde, Francisco Rivera and Hurtado, Juana Valeria and Valada, Abhinav}, title = {There Is More Than Meets the Eye: Self-Supervised Multi-Object Detection and Tracking With Sound by Distilling Multimodal Knowledge}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11612-11621} }

DeRF: Decomposed Radiance Fields

Daniel Rebain,

Wei Jiang,

Soroosh Yazdani,

Ke Li,

Kwang Moo Yi,

Andrea Tagliasacchi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rebain_2021_CVPR, author = {Rebain, Daniel and Jiang, Wei and Yazdani, Soroosh and Li, Ke and Yi, Kwang Moo and Tagliasacchi, Andrea}, title = {DeRF: Decomposed Radiance Fields}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14153-14161} }

Group-aware Label Transfer for Domain Adaptive Person Re-identification

Kecheng Zheng,

Wu Liu,

Lingxiao He,

Tao Mei,

Jiebo Luo,

Zheng-Jun Zha

[pdf] [arXiv]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Kecheng and Liu, Wu and He, Lingxiao and Mei, Tao and Luo, Jiebo and Zha, Zheng-Jun}, title = {Group-aware Label Transfer for Domain Adaptive Person Re-identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5310-5319} }

MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network

Yulun Zhang,

Kai Li,

Kunpeng Li,

Yun Fu

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yulun and Li, Kai and Li, Kunpeng and Fu, Yun}, title = {MR Image Super-Resolution With Squeeze and Excitation Reasoning Attention Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13425-13434} }

BABEL: Bodies, Action and Behavior With English Labels

Abhinanda R. Punnakkal,

Arjun Chandrasekaran,

Nikos Athanasiou,

Alejandra Quiros-Ramirez,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Punnakkal_2021_CVPR, author = {Punnakkal, Abhinanda R. and Chandrasekaran, Arjun and Athanasiou, Nikos and Quiros-Ramirez, Alejandra and Black, Michael J.}, title = {BABEL: Bodies, Action and Behavior With English Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {722-731} }

SMD-Nets: Stereo Mixture Density Networks

Fabio Tosi,

Yiyi Liao,

Carolin Schmitt,

Andreas Geiger

[pdf]

[bibtex]

@InProceedings{Tosi_2021_CVPR, author = {Tosi, Fabio and Liao, Yiyi and Schmitt, Carolin and Geiger, Andreas}, title = {SMD-Nets: Stereo Mixture Density Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8942-8952} }

Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification

Qiong Wu,

Pingyang Dai,

Jie Chen,

Chia-Wen Lin,

Yongjian Wu,

Feiyue Huang,

Bineng Zhong,

Rongrong Ji

[pdf]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Qiong and Dai, Pingyang and Chen, Jie and Lin, Chia-Wen and Wu, Yongjian and Huang, Feiyue and Zhong, Bineng and Ji, Rongrong}, title = {Discover Cross-Modality Nuances for Visible-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4330-4339} }

Learning Progressive Point Embeddings for 3D Point Cloud Generation

Cheng Wen,

Baosheng Yu,

Dacheng Tao

[pdf] [supp]

[bibtex]

@InProceedings{Wen_2021_CVPR, author = {Wen, Cheng and Yu, Baosheng and Tao, Dacheng}, title = {Learning Progressive Point Embeddings for 3D Point Cloud Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10266-10275} }

Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking

Jiawei He,

Zehao Huang,

Naiyan Wang,

Zhaoxiang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Jiawei and Huang, Zehao and Wang, Naiyan and Zhang, Zhaoxiang}, title = {Learnable Graph Matching: Incorporating Graph Partitioning With Deep Feature Learning for Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5299-5309} }

A Decomposition Model for Stereo Matching

Chengtang Yao,

Yunde Jia,

Huijun Di,

Pengxiang Li,

Yuwei Wu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yao_2021_CVPR, author = {Yao, Chengtang and Jia, Yunde and Di, Huijun and Li, Pengxiang and Wu, Yuwei}, title = {A Decomposition Model for Stereo Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6091-6100} }

RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union

Zhidong Liang,

Zehan Zhang,

Ming Zhang,

Xian Zhao,

Shiliang Pu

[pdf]

[bibtex]

@InProceedings{Liang_2021_CVPR, author = {Liang, Zhidong and Zhang, Zehan and Zhang, Ming and Zhao, Xian and Pu, Shiliang}, title = {RangeIoUDet: Range Image Based Real-Time 3D Object Detector Optimized by Intersection Over Union}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7140-7149} }

Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels

Mingda Zhang,

Tristan Maidment,

Ahmad Diab,

Adriana Kovashka,

Rebecca Hwa

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Mingda and Maidment, Tristan and Diab, Ahmad and Kovashka, Adriana and Hwa, Rebecca}, title = {Domain-Robust VQA With Diverse Datasets and Methods but No Target Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7046-7056} }

(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network

Ran Cheng,

Ryan Razani,

Ehsan Taghavi,

Enxu Li,

Bingbing Liu

[pdf] [supp]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ran and Razani, Ryan and Taghavi, Ehsan and Li, Enxu and Liu, Bingbing}, title = {(AF)2-S3Net: Attentive Feature Fusion With Adaptive Feature Selection for Sparse Semantic Segmentation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12547-12556} }

Towards Real-World Blind Face Restoration With Generative Facial Prior

Xintao Wang,

Yu Li,

Honglun Zhang,

Ying Shan

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xintao and Li, Yu and Zhang, Honglun and Shan, Ying}, title = {Towards Real-World Blind Face Restoration With Generative Facial Prior}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9168-9178} }

Track To Detect and Segment: An Online Multi-Object Tracker

Jialian Wu,

Jiale Cao,

Liangchen Song,

Yu Wang,

Ming Yang,

Junsong Yuan

[pdf] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Jialian and Cao, Jiale and Song, Liangchen and Wang, Yu and Yang, Ming and Yuan, Junsong}, title = {Track To Detect and Segment: An Online Multi-Object Tracker}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12352-12361} }

Look Before You Speak: Visually Contextualized Utterances

Paul Hongsuck Seo,

Arsha Nagrani,

Cordelia Schmid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Seo_2021_CVPR, author = {Seo, Paul Hongsuck and Nagrani, Arsha and Schmid, Cordelia}, title = {Look Before You Speak: Visually Contextualized Utterances}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16877-16887} }

DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network

Rui Liu,

Yixiao Ge,

Ching Lam Choi,

Xiaogang Wang,

Hongsheng Li

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Rui and Ge, Yixiao and Choi, Ching Lam and Wang, Xiaogang and Li, Hongsheng}, title = {DivCo: Diverse Conditional Image Synthesis via Contrastive Generative Adversarial Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16377-16386} }

Effective Sparsification of Neural Networks With Global Sparsity Constraint

Xiao Zhou,

Weizhong Zhang,

Hang Xu,

Tong Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Xiao and Zhang, Weizhong and Xu, Hang and Zhang, Tong}, title = {Effective Sparsification of Neural Networks With Global Sparsity Constraint}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3599-3608} }

Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging

Tao Huang,

Weisheng Dong,

Xin Yuan,

Jinjian Wu,

Guangming Shi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Tao and Dong, Weisheng and Yuan, Xin and Wu, Jinjian and Shi, Guangming}, title = {Deep Gaussian Scale Mixture Prior for Spectral Compressive Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16216-16225} }

Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation

Zhekai Du,

Jingjing Li,

Hongzu Su,

Lei Zhu,

Ke Lu

[pdf] [arXiv]

[bibtex]

@InProceedings{Du_2021_CVPR, author = {Du, Zhekai and Li, Jingjing and Su, Hongzu and Zhu, Lei and Lu, Ke}, title = {Cross-Domain Gradient Discrepancy Minimization for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3937-3946} }

DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks

Abhishek Singh,

Ayush Chopra,

Ethan Garza,

Emily Zhang,

Praneeth Vepakomma,

Vivek Sharma,

Ramesh Raskar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singh_2021_CVPR, author = {Singh, Abhishek and Chopra, Ayush and Garza, Ethan and Zhang, Emily and Vepakomma, Praneeth and Sharma, Vivek and Raskar, Ramesh}, title = {DISCO: Dynamic and Invariant Sensitive Channel Obfuscation for Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12125-12135} }

Training Generative Adversarial Networks in One Stage

Chengchao Shen,

Youtan Yin,

Xinchao Wang,

Xubin Li,

Jie Song,

Mingli Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shen_2021_CVPR, author = {Shen, Chengchao and Yin, Youtan and Wang, Xinchao and Li, Xubin and Song, Jie and Song, Mingli}, title = {Training Generative Adversarial Networks in One Stage}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3350-3360} }

Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection

Zhenyu Zhang,

Yanhao Ge,

Renwang Chen,

Ying Tai,

Yan Yan,

Jian Yang,

Chengjie Wang,

Jilin Li,

Feiyue Huang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zhenyu and Ge, Yanhao and Chen, Renwang and Tai, Ying and Yan, Yan and Yang, Jian and Wang, Chengjie and Li, Jilin and Huang, Feiyue}, title = {Learning To Aggregate and Personalize 3D Face From In-the-Wild Photo Collection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14214-14224} }

Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching

Qi Jia,

ZhengJun Li,

Xin Fan,

Haotian Zhao,

Shiyu Teng,

Xinchen Ye,

Longin Jan Latecki

[pdf]

[bibtex]

@InProceedings{Jia_2021_CVPR, author = {Jia, Qi and Li, ZhengJun and Fan, Xin and Zhao, Haotian and Teng, Shiyu and Ye, Xinchen and Latecki, Longin Jan}, title = {Leveraging Line-Point Consistence To Preserve Structures for Wide Parallax Image Stitching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12186-12195} }

3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection

He Wang,

Yezhen Cong,

Or Litany,

Yue Gao,

Leonidas J. Guibas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, He and Cong, Yezhen and Litany, Or and Gao, Yue and Guibas, Leonidas J.}, title = {3DIoUMatch: Leveraging IoU Prediction for Semi-Supervised 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14615-14624} }

Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency

Sangeek Hyun,

Jihwan Kim,

Jae-Pil Heo

[pdf]

[bibtex]

@InProceedings{Hyun_2021_CVPR, author = {Hyun, Sangeek and Kim, Jihwan and Heo, Jae-Pil}, title = {Self-Supervised Video GANs: Learning for Appearance Consistency and Motion Coherency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10826-10835} }

Neural Lumigraph Rendering

Petr Kellnhofer,

Lars C. Jebe,

Andrew Jones,

Ryan Spicer,

Kari Pulli,

Gordon Wetzstein

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kellnhofer_2021_CVPR, author = {Kellnhofer, Petr and Jebe, Lars C. and Jones, Andrew and Spicer, Ryan and Pulli, Kari and Wetzstein, Gordon}, title = {Neural Lumigraph Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4287-4297} }

Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals

Kun Qian,

Shilin Zhu,

Xinyu Zhang,

Li Erran Li

[pdf] [supp]

[bibtex]

@InProceedings{Qian_2021_CVPR, author = {Qian, Kun and Zhu, Shilin and Zhang, Xinyu and Li, Li Erran}, title = {Robust Multimodal Vehicle Detection in Foggy Weather Using Complementary Lidar and Radar Signals}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {444-453} }

Stochastic Whitening Batch Normalization

Shengdong Zhang,

Ehsan Nezhadarya,

Homa Fashandi,

Jiayi Liu,

Darin Graham,

Mohak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shengdong and Nezhadarya, Ehsan and Fashandi, Homa and Liu, Jiayi and Graham, Darin and Shah, Mohak}, title = {Stochastic Whitening Batch Normalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10978-10987} }

Self-Guided and Cross-Guided Learning for Few-Shot Segmentation

Bingfeng Zhang,

Jimin Xiao,

Terry Qin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Bingfeng and Xiao, Jimin and Qin, Terry}, title = {Self-Guided and Cross-Guided Learning for Few-Shot Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8312-8321} }

M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training

Minheng Ni,

Haoyang Huang,

Lin Su,

Edward Cui,

Taroon Bharti,

Lijuan Wang,

Dongdong Zhang,

Nan Duan

[pdf] [arXiv]

[bibtex]

@InProceedings{Ni_2021_CVPR, author = {Ni, Minheng and Huang, Haoyang and Su, Lin and Cui, Edward and Bharti, Taroon and Wang, Lijuan and Zhang, Dongdong and Duan, Nan}, title = {M3P: Learning Universal Representations via Multitask Multilingual Multimodal Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3977-3986} }

Hyperdimensional Computing as a Framework for Systematic Aggregation of Image Descriptors

Peer Neubert,

Stefan Schubert

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Neubert_2021_CVPR, author = {Neubert, Peer and Schubert, Stefan}, title = {Hyperdimensional Computing as a Framework for Systematic Aggregation of Image Descriptors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16938-16947} }

Layerwise Optimization by Gradient Decomposition for Continual Learning

Shixiang Tang,

Dapeng Chen,

Jinguo Zhu,

Shijie Yu,

Wanli Ouyang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Shixiang and Chen, Dapeng and Zhu, Jinguo and Yu, Shijie and Ouyang, Wanli}, title = {Layerwise Optimization by Gradient Decomposition for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9634-9643} }

Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging

S. Mahdi H. Miangoleh,

Sebastian Dille,

Long Mai,

Sylvain Paris,

Yagiz Aksoy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Miangoleh_2021_CVPR, author = {Miangoleh, S. Mahdi H. and Dille, Sebastian and Mai, Long and Paris, Sylvain and Aksoy, Yagiz}, title = {Boosting Monocular Depth Estimation Models to High-Resolution via Content-Adaptive Multi-Resolution Merging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9685-9694} }

Blind Deblurring for Saturated Images

Liang Chen,

Jiawei Zhang,

Songnan Lin,

Faming Fang,

Jimmy S. Ren

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Liang and Zhang, Jiawei and Lin, Songnan and Fang, Faming and Ren, Jimmy S.}, title = {Blind Deblurring for Saturated Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6308-6316} }

Turning Frequency to Resolution: Video Super-Resolution via Event Cameras

Yongcheng Jing,

Yiding Yang,

Xinchao Wang,

Mingli Song,

Dacheng Tao

[pdf]

[bibtex]

@InProceedings{Jing_2021_CVPR, author = {Jing, Yongcheng and Yang, Yiding and Wang, Xinchao and Song, Mingli and Tao, Dacheng}, title = {Turning Frequency to Resolution: Video Super-Resolution via Event Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7772-7781} }

Time Adaptive Recurrent Neural Network

Anil Kag,

Venkatesh Saligrama

[pdf] [supp]

[bibtex]

@InProceedings{Kag_2021_CVPR, author = {Kag, Anil and Saligrama, Venkatesh}, title = {Time Adaptive Recurrent Neural Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15149-15158} }

DeFMO: Deblurring and Shape Recovery of Fast Moving Objects

Denys Rozumnyi,

Martin R. Oswald,

Vittorio Ferrari,

Jiri Matas,

Marc Pollefeys

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rozumnyi_2021_CVPR, author = {Rozumnyi, Denys and Oswald, Martin R. and Ferrari, Vittorio and Matas, Jiri and Pollefeys, Marc}, title = {DeFMO: Deblurring and Shape Recovery of Fast Moving Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3456-3465} }

PISE: Person Image Synthesis and Editing With Decoupled GAN

Jinsong Zhang,

Kun Li,

Yu-Kun Lai,

Jingyu Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jinsong and Li, Kun and Lai, Yu-Kun and Yang, Jingyu}, title = {PISE: Person Image Synthesis and Editing With Decoupled GAN}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7982-7990} }

4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis

Weihang Liao,

Art Subpa-asa,

Yinqiang Zheng,

Imari Sato

[pdf] [supp]

[bibtex]

@InProceedings{Liao_2021_CVPR, author = {Liao, Weihang and Subpa-asa, Art and Zheng, Yinqiang and Sato, Imari}, title = {4D Hyperspectral Photoacoustic Data Restoration With Reliability Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4598-4607} }

OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning

Spyros Gidaris,

Andrei Bursuc,

Gilles Puy,

Nikos Komodakis,

Matthieu Cord,

Patrick Perez

[pdf] [supp]

[bibtex]

@InProceedings{Gidaris_2021_CVPR, author = {Gidaris, Spyros and Bursuc, Andrei and Puy, Gilles and Komodakis, Nikos and Cord, Matthieu and Perez, Patrick}, title = {OBoW: Online Bag-of-Visual-Words Generation for Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6830-6840} }

Learning-Based Image Registration With Meta-Regularization

Ebrahim Al Safadi,

Xubo Song

[pdf]

[bibtex]

@InProceedings{Al_Safadi_2021_CVPR, author = {Al Safadi, Ebrahim and Song, Xubo}, title = {Learning-Based Image Registration With Meta-Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10928-10937} }

A Hyperbolic-to-Hyperbolic Graph Convolutional Network

Jindou Dai,

Yuwei Wu,

Zhi Gao,

Yunde Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Jindou and Wu, Yuwei and Gao, Zhi and Jia, Yunde}, title = {A Hyperbolic-to-Hyperbolic Graph Convolutional Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {154-163} }

Deep Homography for Efficient Stereo Image Compression

Xin Deng,

Wenzhe Yang,

Ren Yang,

Mai Xu,

Enpeng Liu,

Qianhan Feng,

Radu Timofte

[pdf]

[bibtex]

@InProceedings{Deng_2021_CVPR, author = {Deng, Xin and Yang, Wenzhe and Yang, Ren and Xu, Mai and Liu, Enpeng and Feng, Qianhan and Timofte, Radu}, title = {Deep Homography for Efficient Stereo Image Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1492-1501} }

Point2Skeleton: Learning Skeletal Representations from Point Clouds

Cheng Lin,

Changjian Li,

Yuan Liu,

Nenglun Chen,

Yi-King Choi,

Wenping Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Cheng and Li, Changjian and Liu, Yuan and Chen, Nenglun and Choi, Yi-King and Wang, Wenping}, title = {Point2Skeleton: Learning Skeletal Representations from Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4277-4286} }

Neighborhood Contrastive Learning for Novel Class Discovery

Zhun Zhong,

Enrico Fini,

Subhankar Roy,

Zhiming Luo,

Elisa Ricci,

Nicu Sebe

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2021_CVPR, author = {Zhong, Zhun and Fini, Enrico and Roy, Subhankar and Luo, Zhiming and Ricci, Elisa and Sebe, Nicu}, title = {Neighborhood Contrastive Learning for Novel Class Discovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10867-10875} }

SimPoE: Simulated Character Control for 3D Human Pose Estimation

Ye Yuan,

Shih-En Wei,

Tomas Simon,

Kris Kitani,

Jason Saragih

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yuan_2021_CVPR, author = {Yuan, Ye and Wei, Shih-En and Simon, Tomas and Kitani, Kris and Saragih, Jason}, title = {SimPoE: Simulated Character Control for 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7159-7169} }

Neural Camera Simulators

Hao Ouyang,

Zifan Shi,

Chenyang Lei,

Ka Lung Law,

Qifeng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ouyang_2021_CVPR, author = {Ouyang, Hao and Shi, Zifan and Lei, Chenyang and Law, Ka Lung and Chen, Qifeng}, title = {Neural Camera Simulators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7700-7709} }

Neighborhood Normalization for Robust Geometric Feature Learning

Xingtong Liu,

Benjamin D. Killeen,

Ayushi Sinha,

Masaru Ishii,

Gregory D. Hager,

Russell H. Taylor,

Mathias Unberath

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Xingtong and Killeen, Benjamin D. and Sinha, Ayushi and Ishii, Masaru and Hager, Gregory D. and Taylor, Russell H. and Unberath, Mathias}, title = {Neighborhood Normalization for Robust Geometric Feature Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13049-13058} }

Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling

Yan-Cheng Huang,

Yi-Hsin Chen,

Cheng-You Lu,

Hui-Po Wang,

Wen-Hsiao Peng,

Ching-Chun Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Yan-Cheng and Chen, Yi-Hsin and Lu, Cheng-You and Wang, Hui-Po and Peng, Wen-Hsiao and Huang, Ching-Chun}, title = {Video Rescaling Networks With Joint Optimization Strategies for Downscaling and Upscaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3527-3536} }

TPCN: Temporal Point Cloud Networks for Motion Forecasting

Maosheng Ye,

Tongyi Cao,

Qifeng Chen

[pdf] [arXiv]

[bibtex]

@InProceedings{Ye_2021_CVPR, author = {Ye, Maosheng and Cao, Tongyi and Chen, Qifeng}, title = {TPCN: Temporal Point Cloud Networks for Motion Forecasting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11318-11327} }

TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation

Lingming Zhang,

Yue Zhao,

Deyu Meng,

Zhiming Cui,

Chenqiang Gao,

Xinbo Gao,

Chunfeng Lian,

Dinggang Shen

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Lingming and Zhao, Yue and Meng, Deyu and Cui, Zhiming and Gao, Chenqiang and Gao, Xinbo and Lian, Chunfeng and Shen, Dinggang}, title = {TSGCNet: Discriminative Geometric Feature Learning With Two-Stream Graph Convolutional Network for 3D Dental Model Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6699-6708} }

Meta Batch-Instance Normalization for Generalizable Person Re-Identification

Seokeon Choi,

Taekyung Kim,

Minki Jeong,

Hyoungseob Park,

Changick Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Choi_2021_CVPR, author = {Choi, Seokeon and Kim, Taekyung and Jeong, Minki and Park, Hyoungseob and Kim, Changick}, title = {Meta Batch-Instance Normalization for Generalizable Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3425-3435} }

Dictionary-Guided Scene Text Recognition

Nguyen Nguyen,

Thu Nguyen,

Vinh Tran,

Minh-Triet Tran,

Thanh Duc Ngo,

Thien Huu Nguyen,

Minh Hoai

[pdf] [supp]

[bibtex]

@InProceedings{Nguyen_2021_CVPR, author = {Nguyen, Nguyen and Nguyen, Thu and Tran, Vinh and Tran, Minh-Triet and Ngo, Thanh Duc and Nguyen, Thien Huu and Hoai, Minh}, title = {Dictionary-Guided Scene Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7383-7392} }

Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection

Xubin Zhong,

Xian Qu,

Changxing Ding,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2021_CVPR, author = {Zhong, Xubin and Qu, Xian and Ding, Changxing and Tao, Dacheng}, title = {Glance and Gaze: Inferring Action-Aware Points for One-Stage Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13234-13243} }

Activate or Not: Learning Customized Activation

Ningning Ma,

Xiangyu Zhang,

Ming Liu,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Ningning and Zhang, Xiangyu and Liu, Ming and Sun, Jian}, title = {Activate or Not: Learning Customized Activation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8032-8042} }

Wide-Baseline Relative Camera Pose Estimation With Directional Learning

Kefan Chen,

Noah Snavely,

Ameesh Makadia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Kefan and Snavely, Noah and Makadia, Ameesh}, title = {Wide-Baseline Relative Camera Pose Estimation With Directional Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3258-3268} }

Improving Unsupervised Image Clustering With Robust Learning

Sungwon Park,

Sungwon Han,

Sundong Kim,

Danu Kim,

Sungkyu Park,

Seunghoon Hong,

Meeyoung Cha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2021_CVPR, author = {Park, Sungwon and Han, Sungwon and Kim, Sundong and Kim, Danu and Park, Sungkyu and Hong, Seunghoon and Cha, Meeyoung}, title = {Improving Unsupervised Image Clustering With Robust Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12278-12287} }

Neural Surface Maps

Luca Morreale,

Noam Aigerman,

Vladimir G. Kim,

Niloy J. Mitra

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Morreale_2021_CVPR, author = {Morreale, Luca and Aigerman, Noam and Kim, Vladimir G. and Mitra, Niloy J.}, title = {Neural Surface Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4639-4648} }

Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods

Minghan Yang,

Dong Xu,

Hongyu Chen,

Zaiwen Wen,

Mengyun Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Minghan and Xu, Dong and Chen, Hongyu and Wen, Zaiwen and Chen, Mengyun}, title = {Enhance Curvature Information by Structured Stochastic Quasi-Newton Methods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10654-10663} }

Variational Relational Point Completion Network

Liang Pan,

Xinyi Chen,

Zhongang Cai,

Junzhe Zhang,

Haiyu Zhao,

Shuai Yi,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pan_2021_CVPR, author = {Pan, Liang and Chen, Xinyi and Cai, Zhongang and Zhang, Junzhe and Zhao, Haiyu and Yi, Shuai and Liu, Ziwei}, title = {Variational Relational Point Completion Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8524-8533} }

StruMonoNet: Structure-Aware Monocular 3D Prediction

Zhenpei Yang,

Li Erran Li,

Qixing Huang

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Zhenpei and Li, Li Erran and Huang, Qixing}, title = {StruMonoNet: Structure-Aware Monocular 3D Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7413-7422} }

Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation

Suman Saha,

Anton Obukhov,

Danda Pani Paudel,

Menelaos Kanakis,

Yuhua Chen,

Stamatios Georgoulis,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Saha_2021_CVPR, author = {Saha, Suman and Obukhov, Anton and Paudel, Danda Pani and Kanakis, Menelaos and Chen, Yuhua and Georgoulis, Stamatios and Van Gool, Luc}, title = {Learning To Relate Depth and Semantics for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8197-8207} }

Training Networks in Null Space of Feature Covariance for Continual Learning

Shipeng Wang,

Xiaorong Li,

Jian Sun,

Zongben Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Shipeng and Li, Xiaorong and Sun, Jian and Xu, Zongben}, title = {Training Networks in Null Space of Feature Covariance for Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {184-193} }

PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering

Jang Hyun Cho,

Utkarsh Mall,

Kavita Bala,

Bharath Hariharan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cho_2021_CVPR, author = {Cho, Jang Hyun and Mall, Utkarsh and Bala, Kavita and Hariharan, Bharath}, title = {PiCIE: Unsupervised Semantic Segmentation Using Invariance and Equivariance in Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16794-16804} }

DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution

Tong He,

Chunhua Shen,

Anton van den Hengel

[pdf] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Tong and Shen, Chunhua and van den Hengel, Anton}, title = {DyCo3D: Robust Instance Segmentation of 3D Point Clouds Through Dynamic Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {354-363} }

SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama

Phi Vu Tran

[pdf] [supp]

[bibtex]

@InProceedings{Tran_2021_CVPR, author = {Tran, Phi Vu}, title = {SSLayout360: Semi-Supervised Indoor Layout Estimation From 360deg Panorama}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15353-15362} }

SLADE: A Self-Training Framework for Distance Metric Learning

Jiali Duan,

Yen-Liang Lin,

Son Tran,

Larry S. Davis,

C.-C. Jay Kuo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duan_2021_CVPR, author = {Duan, Jiali and Lin, Yen-Liang and Tran, Son and Davis, Larry S. and Kuo, C.-C. Jay}, title = {SLADE: A Self-Training Framework for Distance Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9644-9653} }

NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning

Hyunho Ha,

Joo Ho Lee,

Andreas Meuleman,

Min H. Kim

[pdf] [supp]

[bibtex]

@InProceedings{Ha_2021_CVPR, author = {Ha, Hyunho and Lee, Joo Ho and Meuleman, Andreas and Kim, Min H.}, title = {NormalFusion: Real-Time Acquisition of Surface Normals for High-Resolution RGB-D Scanning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15970-15979} }

SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud

Wu Zheng,

Weiliang Tang,

Li Jiang,

Chi-Wing Fu

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Wu and Tang, Weiliang and Jiang, Li and Fu, Chi-Wing}, title = {SE-SSD: Self-Ensembling Single-Stage Object Detector From Point Cloud}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14494-14503} }

Where and What? Examining Interpretable Disentangled Representations

Xinqi Zhu,

Chang Xu,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Xinqi and Xu, Chang and Tao, Dacheng}, title = {Where and What? Examining Interpretable Disentangled Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5861-5870} }

Physically-Aware Generative Network for 3D Shape Modeling

Mariem Mezghanni,

Malika Boulkenafed,

Andre Lieutier,

Maks Ovsjanikov

[pdf] [supp]

[bibtex]

@InProceedings{Mezghanni_2021_CVPR, author = {Mezghanni, Mariem and Boulkenafed, Malika and Lieutier, Andre and Ovsjanikov, Maks}, title = {Physically-Aware Generative Network for 3D Shape Modeling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9330-9341} }

Bilinear Parameterization for Non-Separable Singular Value Penalties

Marcus Valtonen Ornhag,

Jose Pedro Iglesias,

Carl Olsson

[pdf] [supp]

[bibtex]

@InProceedings{Ornhag_2021_CVPR, author = {Ornhag, Marcus Valtonen and Iglesias, Jose Pedro and Olsson, Carl}, title = {Bilinear Parameterization for Non-Separable Singular Value Penalties}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3897-3906} }

Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild With Pose Annotations

Adel Ahmadyan,

Liangkai Zhang,

Artsiom Ablavatski,

Jianing Wei,

Matthias Grundmann

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ahmadyan_2021_CVPR, author = {Ahmadyan, Adel and Zhang, Liangkai and Ablavatski, Artsiom and Wei, Jianing and Grundmann, Matthias}, title = {Objectron: A Large Scale Dataset of Object-Centric Videos in the Wild With Pose Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7822-7831} }

Intra-Inter Camera Similarity for Unsupervised Person Re-Identification

Shiyu Xuan,

Shiliang Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Xuan_2021_CVPR, author = {Xuan, Shiyu and Zhang, Shiliang}, title = {Intra-Inter Camera Similarity for Unsupervised Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11926-11935} }

Efficient Feature Transformations for Discriminative and Generative Continual Learning

Vinay Kumar Verma,

Kevin J Liang,

Nikhil Mehta,

Piyush Rai,

Lawrence Carin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Verma_2021_CVPR, author = {Verma, Vinay Kumar and Liang, Kevin J and Mehta, Nikhil and Rai, Piyush and Carin, Lawrence}, title = {Efficient Feature Transformations for Discriminative and Generative Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13865-13875} }

Learning a Self-Expressive Network for Subspace Clustering

Shangzhi Zhang,

Chong You,

Rene Vidal,

Chun-Guang Li

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shangzhi and You, Chong and Vidal, Rene and Li, Chun-Guang}, title = {Learning a Self-Expressive Network for Subspace Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12393-12403} }

A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning

Christoph Feichtenhofer,

Haoqi Fan,

Bo Xiong,

Ross Girshick,

Kaiming He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Feichtenhofer_2021_CVPR, author = {Feichtenhofer, Christoph and Fan, Haoqi and Xiong, Bo and Girshick, Ross and He, Kaiming}, title = {A Large-Scale Study on Unsupervised Spatiotemporal Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3299-3309} }

Asymmetric Metric Learning for Knowledge Transfer

Mateusz Budnik,

Yannis Avrithis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Budnik_2021_CVPR, author = {Budnik, Mateusz and Avrithis, Yannis}, title = {Asymmetric Metric Learning for Knowledge Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8228-8238} }

Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection

Jiaming Li,

Hongtao Xie,

Jiahong Li,

Zhongyuan Wang,

Yongdong Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Jiaming and Xie, Hongtao and Li, Jiahong and Wang, Zhongyuan and Zhang, Yongdong}, title = {Frequency-Aware Discriminative Feature Learning Supervised by Single-Center Loss for Face Forgery Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6458-6467} }

3DCaricShop: A Dataset and a Baseline Method for Single-View 3D Caricature Face Reconstruction

Yuda Qiu,

Xiaojie Xu,

Lingteng Qiu,

Yan Pan,

Yushuang Wu,

Weikai Chen,

Xiaoguang Han

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qiu_2021_CVPR, author = {Qiu, Yuda and Xu, Xiaojie and Qiu, Lingteng and Pan, Yan and Wu, Yushuang and Chen, Weikai and Han, Xiaoguang}, title = {3DCaricShop: A Dataset and a Baseline Method for Single-View 3D Caricature Face Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10236-10245} }

OCONet: Image Extrapolation by Object Completion

Richard Strong Bowen,

Huiwen Chang,

Charles Herrmann,

Piotr Teterwak,

Ce Liu,

Ramin Zabih

[pdf] [supp]

[bibtex]

@InProceedings{Bowen_2021_CVPR, author = {Bowen, Richard Strong and Chang, Huiwen and Herrmann, Charles and Teterwak, Piotr and Liu, Ce and Zabih, Ramin}, title = {OCONet: Image Extrapolation by Object Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2307-2317} }

VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency

Ruohan Gao,

Kristen Grauman

[pdf] [arXiv]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Ruohan and Grauman, Kristen}, title = {VisualVoice: Audio-Visual Speech Separation With Cross-Modal Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15495-15505} }

Fair Attribute Classification Through Latent Space De-Biasing

Vikram V. Ramaswamy,

Sunnie S. Y. Kim,

Olga Russakovsky

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ramaswamy_2021_CVPR, author = {Ramaswamy, Vikram V. and Kim, Sunnie S. Y. and Russakovsky, Olga}, title = {Fair Attribute Classification Through Latent Space De-Biasing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9301-9310} }

Correlated Input-Dependent Label Noise in Large-Scale Image Classification

Mark Collier,

Basil Mustafa,

Efi Kokiopoulou,

Rodolphe Jenatton,

Jesse Berent

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Collier_2021_CVPR, author = {Collier, Mark and Mustafa, Basil and Kokiopoulou, Efi and Jenatton, Rodolphe and Berent, Jesse}, title = {Correlated Input-Dependent Label Noise in Large-Scale Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1551-1560} }

Delving Into Localization Errors for Monocular 3D Object Detection

Xinzhu Ma,

Yinmin Zhang,

Dan Xu,

Dongzhan Zhou,

Shuai Yi,

Haojie Li,

Wanli Ouyang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Xinzhu and Zhang, Yinmin and Xu, Dan and Zhou, Dongzhan and Yi, Shuai and Li, Haojie and Ouyang, Wanli}, title = {Delving Into Localization Errors for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4721-4730} }

Nearest Neighbor Matching for Deep Clustering

Zhiyuan Dang,

Cheng Deng,

Xu Yang,

Kun Wei,

Heng Huang

[pdf]

[bibtex]

@InProceedings{Dang_2021_CVPR, author = {Dang, Zhiyuan and Deng, Cheng and Yang, Xu and Wei, Kun and Huang, Heng}, title = {Nearest Neighbor Matching for Deep Clustering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13693-13702} }

MOOD: Multi-Level Out-of-Distribution Detection

Ziqian Lin,

Sreya Dutta Roy,

Yixuan Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Ziqian and Roy, Sreya Dutta and Li, Yixuan}, title = {MOOD: Multi-Level Out-of-Distribution Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15313-15323} }

Equalization Loss v2: A New Gradient Balance Approach for Long-Tailed Object Detection

Jingru Tan,

Xin Lu,

Gang Zhang,

Changqing Yin,

Quanquan Li

[pdf] [supp] [arXiv]

[bibtex]

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

Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales

Yifan Sun,

Yuke Zhu,

Yuhan Zhang,

Pengkun Zheng,

Xi Qiu,

Chi Zhang,

Yichen Wei

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Yifan and Zhu, Yuke and Zhang, Yuhan and Zheng, Pengkun and Qiu, Xi and Zhang, Chi and Wei, Yichen}, title = {Dynamic Metric Learning: Towards a Scalable Metric Space To Accommodate Multiple Semantic Scales}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5393-5402} }

Primitive Representation Learning for Scene Text Recognition

Ruijie Yan,

Liangrui Peng,

Shanyu Xiao,

Gang Yao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Ruijie and Peng, Liangrui and Xiao, Shanyu and Yao, Gang}, title = {Primitive Representation Learning for Scene Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {284-293} }

RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation

Sk Aziz Ali,

Kerem Kahraman,

Gerd Reis,

Didier Stricker

[pdf] [supp]

[bibtex]

@InProceedings{Ali_2021_CVPR, author = {Ali, Sk Aziz and Kahraman, Kerem and Reis, Gerd and Stricker, Didier}, title = {RPSRNet: End-to-End Trainable Rigid Point Set Registration Network Using Barnes-Hut 2D-Tree Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13100-13110} }

On the Difficulty of Membership Inference Attacks

Shahbaz Rezaei,

Xin Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rezaei_2021_CVPR, author = {Rezaei, Shahbaz and Liu, Xin}, title = {On the Difficulty of Membership Inference Attacks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7892-7900} }

Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes

Towaki Takikawa,

Joey Litalien,

Kangxue Yin,

Karsten Kreis,

Charles Loop,

Derek Nowrouzezahrai,

Alec Jacobson,

Morgan McGuire,

Sanja Fidler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Takikawa_2021_CVPR, author = {Takikawa, Towaki and Litalien, Joey and Yin, Kangxue and Kreis, Karsten and Loop, Charles and Nowrouzezahrai, Derek and Jacobson, Alec and McGuire, Morgan and Fidler, Sanja}, title = {Neural Geometric Level of Detail: Real-Time Rendering With Implicit 3D Shapes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11358-11367} }

Pareidolia Face Reenactment

Linsen Song,

Wayne Wu,

Chaoyou Fu,

Chen Qian,

Chen Change Loy,

Ran He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Song_2021_CVPR, author = {Song, Linsen and Wu, Wayne and Fu, Chaoyou and Qian, Chen and Loy, Chen Change and He, Ran}, title = {Pareidolia Face Reenactment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2236-2245} }

ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks

Xinshao Wang,

Yang Hua,

Elyor Kodirov,

David A. Clifton,

Neil M. Robertson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xinshao and Hua, Yang and Kodirov, Elyor and Clifton, David A. and Robertson, Neil M.}, title = {ProSelfLC: Progressive Self Label Correction for Training Robust Deep Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {752-761} }

Learning To Segment Rigid Motions From Two Frames

Gengshan Yang,

Deva Ramanan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Gengshan and Ramanan, Deva}, title = {Learning To Segment Rigid Motions From Two Frames}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1266-1275} }

Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI

Yohan Jun,

Hyungseob Shin,

Taejoon Eo,

Dosik Hwang

[pdf]

[bibtex]

@InProceedings{Jun_2021_CVPR, author = {Jun, Yohan and Shin, Hyungseob and Eo, Taejoon and Hwang, Dosik}, title = {Joint Deep Model-Based MR Image and Coil Sensitivity Reconstruction Network (Joint-ICNet) for Fast MRI}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5270-5279} }

On Feature Normalization and Data Augmentation

Boyi Li,

Felix Wu,

Ser-Nam Lim,

Serge Belongie,

Kilian Q. Weinberger

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Boyi and Wu, Felix and Lim, Ser-Nam and Belongie, Serge and Weinberger, Kilian Q.}, title = {On Feature Normalization and Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12383-12392} }

SelfDoc: Self-Supervised Document Representation Learning

Peizhao Li,

Jiuxiang Gu,

Jason Kuen,

Vlad I. Morariu,

Handong Zhao,

Rajiv Jain,

Varun Manjunatha,

Hongfu Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Peizhao and Gu, Jiuxiang and Kuen, Jason and Morariu, Vlad I. and Zhao, Handong and Jain, Rajiv and Manjunatha, Varun and Liu, Hongfu}, title = {SelfDoc: Self-Supervised Document Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5652-5660} }

Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes

Zhihang Zhong,

Yinqiang Zheng,

Imari Sato

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2021_CVPR, author = {Zhong, Zhihang and Zheng, Yinqiang and Sato, Imari}, title = {Towards Rolling Shutter Correction and Deblurring in Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9219-9228} }

VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild

Jiaxu Miao,

Yunchao Wei,

Yu Wu,

Chen Liang,

Guangrui Li,

Yi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Miao_2021_CVPR, author = {Miao, Jiaxu and Wei, Yunchao and Wu, Yu and Liang, Chen and Li, Guangrui and Yang, Yi}, title = {VSPW: A Large-scale Dataset for Video Scene Parsing in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4133-4143} }

Multi-Label Learning From Single Positive Labels

Elijah Cole,

Oisin Mac Aodha,

Titouan Lorieul,

Pietro Perona,

Dan Morris,

Nebojsa Jojic

[pdf] [arXiv]

[bibtex]

@InProceedings{Cole_2021_CVPR, author = {Cole, Elijah and Mac Aodha, Oisin and Lorieul, Titouan and Perona, Pietro and Morris, Dan and Jojic, Nebojsa}, title = {Multi-Label Learning From Single Positive Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {933-942} }

Towards Part-Based Understanding of RGB-D Scans

Alexey Bokhovkin,

Vladislav Ishimtsev,

Emil Bogomolov,

Denis Zorin,

Alexey Artemov,

Evgeny Burnaev,

Angela Dai

[pdf] [supp]

[bibtex]

@InProceedings{Bokhovkin_2021_CVPR, author = {Bokhovkin, Alexey and Ishimtsev, Vladislav and Bogomolov, Emil and Zorin, Denis and Artemov, Alexey and Burnaev, Evgeny and Dai, Angela}, title = {Towards Part-Based Understanding of RGB-D Scans}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7484-7494} }

Learning Semantic-Aware Dynamics for Video Prediction

Xinzhu Bei,

Yanchao Yang,

Stefano Soatto

[pdf] [arXiv]

[bibtex]

@InProceedings{Bei_2021_CVPR, author = {Bei, Xinzhu and Yang, Yanchao and Soatto, Stefano}, title = {Learning Semantic-Aware Dynamics for Video Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {902-912} }

Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation

Rongjie Li,

Songyang Zhang,

Bo Wan,

Xuming He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Rongjie and Zhang, Songyang and Wan, Bo and He, Xuming}, title = {Bipartite Graph Network With Adaptive Message Passing for Unbiased Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11109-11119} }

Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps

Yuk Heo,

Yeong Jun Koh,

Chang-Su Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Heo_2021_CVPR, author = {Heo, Yuk and Koh, Yeong Jun and Kim, Chang-Su}, title = {Guided Interactive Video Object Segmentation Using Reliability-Based Attention Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7322-7330} }

Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data

Ying Shu,

Yan Yan,

Si Chen,

Jing-Hao Xue,

Chunhua Shen,

Hanzi Wang

[pdf]

[bibtex]

@InProceedings{Shu_2021_CVPR, author = {Shu, Ying and Yan, Yan and Chen, Si and Xue, Jing-Hao and Shen, Chunhua and Wang, Hanzi}, title = {Learning Spatial-Semantic Relationship for Facial Attribute Recognition With Limited Labeled Data}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11916-11925} }

Decoupled Dynamic Filter Networks

Jingkai Zhou,

Varun Jampani,

Zhixiong Pi,

Qiong Liu,

Ming-Hsuan Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Jingkai and Jampani, Varun and Pi, Zhixiong and Liu, Qiong and Yang, Ming-Hsuan}, title = {Decoupled Dynamic Filter Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6647-6656} }

Motion Representations for Articulated Animation

Aliaksandr Siarohin,

Oliver J. Woodford,

Jian Ren,

Menglei Chai,

Sergey Tulyakov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Siarohin_2021_CVPR, author = {Siarohin, Aliaksandr and Woodford, Oliver J. and Ren, Jian and Chai, Menglei and Tulyakov, Sergey}, title = {Motion Representations for Articulated Animation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13653-13662} }

General Multi-Label Image Classification With Transformers

Jack Lanchantin,

Tianlu Wang,

Vicente Ordonez,

Yanjun Qi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lanchantin_2021_CVPR, author = {Lanchantin, Jack and Wang, Tianlu and Ordonez, Vicente and Qi, Yanjun}, title = {General Multi-Label Image Classification With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16478-16488} }

On Self-Contact and Human Pose

Lea Muller,

Ahmed A. A. Osman,

Siyu Tang,

Chun-Hao P. Huang,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Muller_2021_CVPR, author = {Muller, Lea and Osman, Ahmed A. A. and Tang, Siyu and Huang, Chun-Hao P. and Black, Michael J.}, title = {On Self-Contact and Human Pose}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9990-9999} }

Center-Based 3D Object Detection and Tracking

Tianwei Yin,

Xingyi Zhou,

Philipp Krahenbuhl

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yin_2021_CVPR, author = {Yin, Tianwei and Zhou, Xingyi and Krahenbuhl, Philipp}, title = {Center-Based 3D Object Detection and Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11784-11793} }

Prototype Augmentation and Self-Supervision for Incremental Learning

Fei Zhu,

Xu-Yao Zhang,

Chuang Wang,

Fei Yin,

Cheng-Lin Liu

[pdf]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Fei and Zhang, Xu-Yao and Wang, Chuang and Yin, Fei and Liu, Cheng-Lin}, title = {Prototype Augmentation and Self-Supervision for Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5871-5880} }

CompositeTasking: Understanding Images by Spatial Composition of Tasks

Nikola Popovic,

Danda Pani Paudel,

Thomas Probst,

Guolei Sun,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Popovic_2021_CVPR, author = {Popovic, Nikola and Paudel, Danda Pani and Probst, Thomas and Sun, Guolei and Van Gool, Luc}, title = {CompositeTasking: Understanding Images by Spatial Composition of Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6870-6880} }

Searching for Fast Model Families on Datacenter Accelerators

Sheng Li,

Mingxing Tan,

Ruoming Pang,

Andrew Li,

Liqun Cheng,

Quoc V. Le,

Norman P. Jouppi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Sheng and Tan, Mingxing and Pang, Ruoming and Li, Andrew and Cheng, Liqun and Le, Quoc V. and Jouppi, Norman P.}, title = {Searching for Fast Model Families on Datacenter Accelerators}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8085-8095} }

Task-Aware Variational Adversarial Active Learning

Kwanyoung Kim,

Dongwon Park,

Kwang In Kim,

Se Young Chun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Kwanyoung and Park, Dongwon and Kim, Kwang In and Chun, Se Young}, title = {Task-Aware Variational Adversarial Active Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8166-8175} }

Understanding and Simplifying Perceptual Distances

Dan Amir,

Yair Weiss

[pdf] [supp]

[bibtex]

@InProceedings{Amir_2021_CVPR, author = {Amir, Dan and Weiss, Yair}, title = {Understanding and Simplifying Perceptual Distances}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12226-12235} }

Class-Aware Robust Adversarial Training for Object Detection

Pin-Chun Chen,

Bo-Han Kung,

Jun-Cheng Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Pin-Chun and Kung, Bo-Han and Chen, Jun-Cheng}, title = {Class-Aware Robust Adversarial Training for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10420-10429} }

Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression

Yufei Cui,

Ziquan Liu,

Qiao Li,

Antoni B. Chan,

Chun Jason Xue

[pdf] [arXiv]

[bibtex]

@InProceedings{Cui_2021_CVPR, author = {Cui, Yufei and Liu, Ziquan and Li, Qiao and Chan, Antoni B. and Xue, Chun Jason}, title = {Bayesian Nested Neural Networks for Uncertainty Calibration and Adaptive Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2392-2401} }

Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network

Aupendu Kar,

Prabir Kumar Biswas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kar_2021_CVPR, author = {Kar, Aupendu and Biswas, Prabir Kumar}, title = {Fast Bayesian Uncertainty Estimation and Reduction of Batch Normalized Single Image Super-Resolution Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4957-4966} }

Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers

Apratim Bhattacharyya,

Daniel Olmeda Reino,

Mario Fritz,

Bernt Schiele

[pdf] [supp]

[bibtex]

@InProceedings{Bhattacharyya_2021_CVPR, author = {Bhattacharyya, Apratim and Reino, Daniel Olmeda and Fritz, Mario and Schiele, Bernt}, title = {Euro-PVI: Pedestrian Vehicle Interactions in Dense Urban Centers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6408-6417} }

RepVGG: Making VGG-Style ConvNets Great Again

Xiaohan Ding,

Xiangyu Zhang,

Ningning Ma,

Jungong Han,

Guiguang Ding,

Jian Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Ding_2021_CVPR, author = {Ding, Xiaohan and Zhang, Xiangyu and Ma, Ningning and Han, Jungong and Ding, Guiguang and Sun, Jian}, title = {RepVGG: Making VGG-Style ConvNets Great Again}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13733-13742} }

Partial Feature Selection and Alignment for Multi-Source Domain Adaptation

Yangye Fu,

Ming Zhang,

Xing Xu,

Zuo Cao,

Chao Ma,

Yanli Ji,

Kai Zuo,

Huimin Lu

[pdf]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Yangye and Zhang, Ming and Xu, Xing and Cao, Zuo and Ma, Chao and Ji, Yanli and Zuo, Kai and Lu, Huimin}, title = {Partial Feature Selection and Alignment for Multi-Source Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16654-16663} }

Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning

Pengfei Guo,

Puyang Wang,

Jinyuan Zhou,

Shanshan Jiang,

Vishal M. Patel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Pengfei and Wang, Puyang and Zhou, Jinyuan and Jiang, Shanshan and Patel, Vishal M.}, title = {Multi-Institutional Collaborations for Improving Deep Learning-Based Magnetic Resonance Image Reconstruction Using Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2423-2432} }

UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles

Tianjiao Li,

Jun Liu,

Wei Zhang,

Yun Ni,

Wenqian Wang,

Zhiheng Li

[pdf]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Tianjiao and Liu, Jun and Zhang, Wei and Ni, Yun and Wang, Wenqian and Li, Zhiheng}, title = {UAV-Human: A Large Benchmark for Human Behavior Understanding With Unmanned Aerial Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16266-16275} }

An Alternative Probabilistic Interpretation of the Huber Loss

Gregory P. Meyer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Meyer_2021_CVPR, author = {Meyer, Gregory P.}, title = {An Alternative Probabilistic Interpretation of the Huber Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5261-5269} }

Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers

Qi Feng,

Vitaly Ablavsky,

Qinxun Bai,

Stan Sclaroff

[pdf] [arXiv]

[bibtex]

@InProceedings{Feng_2021_CVPR, author = {Feng, Qi and Ablavsky, Vitaly and Bai, Qinxun and Sclaroff, Stan}, title = {Siamese Natural Language Tracker: Tracking by Natural Language Descriptions With Siamese Trackers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5851-5860} }

Discrimination-Aware Mechanism for Fine-Grained Representation Learning

Furong Xu,

Meng Wang,

Wei Zhang,

Yuan Cheng,

Wei Chu

[pdf]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Furong and Wang, Meng and Zhang, Wei and Cheng, Yuan and Chu, Wei}, title = {Discrimination-Aware Mechanism for Fine-Grained Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {813-822} }

Rainbow Memory: Continual Learning With a Memory of Diverse Samples

Jihwan Bang,

Heesu Kim,

YoungJoon Yoo,

Jung-Woo Ha,

Jonghyun Choi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bang_2021_CVPR, author = {Bang, Jihwan and Kim, Heesu and Yoo, YoungJoon and Ha, Jung-Woo and Choi, Jonghyun}, title = {Rainbow Memory: Continual Learning With a Memory of Diverse Samples}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8218-8227} }

Learning Discriminative Prototypes With Dynamic Time Warping

Xiaobin Chang,

Frederick Tung,

Greg Mori

[pdf] [arXiv]

[bibtex]

@InProceedings{Chang_2021_CVPR, author = {Chang, Xiaobin and Tung, Frederick and Mori, Greg}, title = {Learning Discriminative Prototypes With Dynamic Time Warping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8395-8404} }

Deep Implicit Moving Least-Squares Functions for 3D Reconstruction

Shi-Lin Liu,

Hao-Xiang Guo,

Hao Pan,

Peng-Shuai Wang,

Xin Tong,

Yang Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Shi-Lin and Guo, Hao-Xiang and Pan, Hao and Wang, Peng-Shuai and Tong, Xin and Liu, Yang}, title = {Deep Implicit Moving Least-Squares Functions for 3D Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1788-1797} }

Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning

Sangmin Lee,

Hak Gu Kim,

Dae Hwi Choi,

Hyung-Il Kim,

Yong Man Ro

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Sangmin and Kim, Hak Gu and Choi, Dae Hwi and Kim, Hyung-Il and Ro, Yong Man}, title = {Video Prediction Recalling Long-Term Motion Context via Memory Alignment Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3054-3063} }

Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization

Fakai Wang,

Kang Zheng,

Le Lu,

Jing Xiao,

Min Wu,

Shun Miao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Fakai and Zheng, Kang and Lu, Le and Xiao, Jing and Wu, Min and Miao, Shun}, title = {Automatic Vertebra Localization and Identification in CT by Spine Rectification and Anatomically-Constrained Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5280-5288} }

MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions

Haixu Wu,

Zhiyu Yao,

Jianmin Wang,

Mingsheng Long

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Haixu and Yao, Zhiyu and Wang, Jianmin and Long, Mingsheng}, title = {MotionRNN: A Flexible Model for Video Prediction With Spacetime-Varying Motions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15435-15444} }

MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space

Rui Huang,

Yixuan Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Rui and Li, Yixuan}, title = {MOS: Towards Scaling Out-of-Distribution Detection for Large Semantic Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8710-8719} }

Visual Semantic Role Labeling for Video Understanding

Arka Sadhu,

Tanmay Gupta,

Mark Yatskar,

Ram Nevatia,

Aniruddha Kembhavi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sadhu_2021_CVPR, author = {Sadhu, Arka and Gupta, Tanmay and Yatskar, Mark and Nevatia, Ram and Kembhavi, Aniruddha}, title = {Visual Semantic Role Labeling for Video Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5589-5600} }

SwiftNet: Real-Time Video Object Segmentation

Haochen Wang,

Xiaolong Jiang,

Haibing Ren,

Yao Hu,

Song Bai

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Haochen and Jiang, Xiaolong and Ren, Haibing and Hu, Yao and Bai, Song}, title = {SwiftNet: Real-Time Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1296-1305} }

Contrastive Embedding for Generalized Zero-Shot Learning

Zongyan Han,

Zhenyong Fu,

Shuo Chen,

Jian Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Han_2021_CVPR, author = {Han, Zongyan and Fu, Zhenyong and Chen, Shuo and Yang, Jian}, title = {Contrastive Embedding for Generalized Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2371-2381} }

Scale-Localized Abstract Reasoning

Yaniv Benny,

Niv Pekar,

Lior Wolf

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Benny_2021_CVPR, author = {Benny, Yaniv and Pekar, Niv and Wolf, Lior}, title = {Scale-Localized Abstract Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12557-12565} }

Transferable Query Selection for Active Domain Adaptation

Bo Fu,

Zhangjie Cao,

Jianmin Wang,

Mingsheng Long

[pdf] [supp]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Bo and Cao, Zhangjie and Wang, Jianmin and Long, Mingsheng}, title = {Transferable Query Selection for Active Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7272-7281} }

CLCC: Contrastive Learning for Color Constancy

Yi-Chen Lo,

Chia-Che Chang,

Hsuan-Chao Chiu,

Yu-Hao Huang,

Chia-Ping Chen,

Yu-Lin Chang,

Kevin Jou

[pdf] [arXiv]

[bibtex]

@InProceedings{Lo_2021_CVPR, author = {Lo, Yi-Chen and Chang, Chia-Che and Chiu, Hsuan-Chao and Huang, Yu-Hao and Chen, Chia-Ping and Chang, Yu-Lin and Jou, Kevin}, title = {CLCC: Contrastive Learning for Color Constancy}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8053-8063} }

Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World

Jiakai Wang,

Aishan Liu,

Zixin Yin,

Shunchang Liu,

Shiyu Tang,

Xianglong Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jiakai and Liu, Aishan and Yin, Zixin and Liu, Shunchang and Tang, Shiyu and Liu, Xianglong}, title = {Dual Attention Suppression Attack: Generate Adversarial Camouflage in Physical World}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8565-8574} }

Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings

Hao Guo,

Song Wang

[pdf]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Hao and Wang, Song}, title = {Long-Tailed Multi-Label Visual Recognition by Collaborative Training on Uniform and Re-Balanced Samplings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15089-15098} }

3D Object Detection With Pointformer

Xuran Pan,

Zhuofan Xia,

Shiji Song,

Li Erran Li,

Gao Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pan_2021_CVPR, author = {Pan, Xuran and Xia, Zhuofan and Song, Shiji and Li, Li Erran and Huang, Gao}, title = {3D Object Detection With Pointformer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7463-7472} }

Fair Feature Distillation for Visual Recognition

Sangwon Jung,

Donggyu Lee,

Taeeon Park,

Taesup Moon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jung_2021_CVPR, author = {Jung, Sangwon and Lee, Donggyu and Park, Taeeon and Moon, Taesup}, title = {Fair Feature Distillation for Visual Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12115-12124} }

Diversifying Sample Generation for Accurate Data-Free Quantization

Xiangguo Zhang,

Haotong Qin,

Yifu Ding,

Ruihao Gong,

Qinghua Yan,

Renshuai Tao,

Yuhang Li,

Fengwei Yu,

Xianglong Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiangguo and Qin, Haotong and Ding, Yifu and Gong, Ruihao and Yan, Qinghua and Tao, Renshuai and Li, Yuhang and Yu, Fengwei and Liu, Xianglong}, title = {Diversifying Sample Generation for Accurate Data-Free Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15658-15667} }

SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation

Brendan Duke,

Abdalla Ahmed,

Christian Wolf,

Parham Aarabi,

Graham W. Taylor

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duke_2021_CVPR, author = {Duke, Brendan and Ahmed, Abdalla and Wolf, Christian and Aarabi, Parham and Taylor, Graham W.}, title = {SSTVOS: Sparse Spatiotemporal Transformers for Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5912-5921} }

Inferring CAD Modeling Sequences Using Zone Graphs

Xianghao Xu,

Wenzhe Peng,

Chin-Yi Cheng,

Karl D.D. Willis,

Daniel Ritchie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Xianghao and Peng, Wenzhe and Cheng, Chin-Yi and Willis, Karl D.D. and Ritchie, Daniel}, title = {Inferring CAD Modeling Sequences Using Zone Graphs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6062-6070} }

Closed-Form Factorization of Latent Semantics in GANs

Yujun Shen,

Bolei Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Shen_2021_CVPR, author = {Shen, Yujun and Zhou, Bolei}, title = {Closed-Form Factorization of Latent Semantics in GANs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1532-1540} }

Weakly-Supervised Physically Unconstrained Gaze Estimation

Rakshit Kothari,

Shalini De Mello,

Umar Iqbal,

Wonmin Byeon,

Seonwook Park,

Jan Kautz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kothari_2021_CVPR, author = {Kothari, Rakshit and De Mello, Shalini and Iqbal, Umar and Byeon, Wonmin and Park, Seonwook and Kautz, Jan}, title = {Weakly-Supervised Physically Unconstrained Gaze Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9980-9989} }

A Circular-Structured Representation for Visual Emotion Distribution Learning

Jingyuan Yang,

Jie Li,

Leida Li,

Xiumei Wang,

Xinbo Gao

[pdf]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Jingyuan and Li, Jie and Li, Leida and Wang, Xiumei and Gao, Xinbo}, title = {A Circular-Structured Representation for Visual Emotion Distribution Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4237-4246} }

VirTex: Learning Visual Representations From Textual Annotations

Karan Desai,

Justin Johnson

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Desai_2021_CVPR, author = {Desai, Karan and Johnson, Justin}, title = {VirTex: Learning Visual Representations From Textual Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11162-11173} }

MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution

Liying Lu,

Wenbo Li,

Xin Tao,

Jiangbo Lu,

Jiaya Jia

[pdf] [supp]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Liying and Li, Wenbo and Tao, Xin and Lu, Jiangbo and Jia, Jiaya}, title = {MASA-SR: Matching Acceleration and Spatial Adaptation for Reference-Based Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6368-6377} }

Spatiotemporal Contrastive Video Representation Learning

Rui Qian,

Tianjian Meng,

Boqing Gong,

Ming-Hsuan Yang,

Huisheng Wang,

Serge Belongie,

Yin Cui

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qian_2021_CVPR, author = {Qian, Rui and Meng, Tianjian and Gong, Boqing and Yang, Ming-Hsuan and Wang, Huisheng and Belongie, Serge and Cui, Yin}, title = {Spatiotemporal Contrastive Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6964-6974} }

Scaled-YOLOv4: Scaling Cross Stage Partial Network

Chien-Yao Wang,

Alexey Bochkovskiy,

Hong-Yuan Mark Liao

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Chien-Yao and Bochkovskiy, Alexey and Liao, Hong-Yuan Mark}, title = {Scaled-YOLOv4: Scaling Cross Stage Partial Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13029-13038} }

Quantifying Explainers of Graph Neural Networks in Computational Pathology

Guillaume Jaume,

Pushpak Pati,

Behzad Bozorgtabar,

Antonio Foncubierta,

Anna Maria Anniciello,

Florinda Feroce,

Tilman Rau,

Jean-Philippe Thiran,

Maria Gabrani,

Orcun Goksel

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jaume_2021_CVPR, author = {Jaume, Guillaume and Pati, Pushpak and Bozorgtabar, Behzad and Foncubierta, Antonio and Anniciello, Anna Maria and Feroce, Florinda and Rau, Tilman and Thiran, Jean-Philippe and Gabrani, Maria and Goksel, Orcun}, title = {Quantifying Explainers of Graph Neural Networks in Computational Pathology}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8106-8116} }

Knowledge Evolution in Neural Networks

Ahmed Taha,

Abhinav Shrivastava,

Larry S. Davis

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Taha_2021_CVPR, author = {Taha, Ahmed and Shrivastava, Abhinav and Davis, Larry S.}, title = {Knowledge Evolution in Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12843-12852} }

Revisiting Knowledge Distillation: An Inheritance and Exploration Framework

Zhen Huang,

Xu Shen,

Jun Xing,

Tongliang Liu,

Xinmei Tian,

Houqiang Li,

Bing Deng,

Jianqiang Huang,

Xian-Sheng Hua

[pdf]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Zhen and Shen, Xu and Xing, Jun and Liu, Tongliang and Tian, Xinmei and Li, Houqiang and Deng, Bing and Huang, Jianqiang and Hua, Xian-Sheng}, title = {Revisiting Knowledge Distillation: An Inheritance and Exploration Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3579-3588} }

Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation

Saquib Sarfraz,

Naila Murray,

Vivek Sharma,

Ali Diba,

Luc Van Gool,

Rainer Stiefelhagen

[pdf] [arXiv]

[bibtex]

@InProceedings{Sarfraz_2021_CVPR, author = {Sarfraz, Saquib and Murray, Naila and Sharma, Vivek and Diba, Ali and Van Gool, Luc and Stiefelhagen, Rainer}, title = {Temporally-Weighted Hierarchical Clustering for Unsupervised Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11225-11234} }

SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping

Austin Stone,

Daniel Maurer,

Alper Ayvaci,

Anelia Angelova,

Rico Jonschkowski

[pdf] [arXiv]

[bibtex]

@InProceedings{Stone_2021_CVPR, author = {Stone, Austin and Maurer, Daniel and Ayvaci, Alper and Angelova, Anelia and Jonschkowski, Rico}, title = {SMURF: Self-Teaching Multi-Frame Unsupervised RAFT With Full-Image Warping}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3887-3896} }

Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison

Shenzhi Wang,

Liwei Wu,

Lei Cui,

Yujun Shen

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Shenzhi and Wu, Liwei and Cui, Lei and Shen, Yujun}, title = {Glancing at the Patch: Anomaly Localization With Global and Local Feature Comparison}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {254-263} }

Single-View 3D Object Reconstruction From Shape Priors in Memory

Shuo Yang,

Min Xu,

Haozhe Xie,

Stuart Perry,

Jiahao Xia

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Shuo and Xu, Min and Xie, Haozhe and Perry, Stuart and Xia, Jiahao}, title = {Single-View 3D Object Reconstruction From Shape Priors in Memory}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3152-3161} }

Recognizing Actions in Videos From Unseen Viewpoints

AJ Piergiovanni,

Michael S. Ryoo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Piergiovanni_2021_CVPR, author = {Piergiovanni, AJ and Ryoo, Michael S.}, title = {Recognizing Actions in Videos From Unseen Viewpoints}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4124-4132} }

Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics

Jia-Wei Chen,

Li-Ju Chen,

Chia-Mu Yu,

Chun-Shien Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Jia-Wei and Chen, Li-Ju and Yu, Chia-Mu and Lu, Chun-Shien}, title = {Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation With Manipulable Semantics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6478-6487} }

To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels

Yuning Chai,

Pei Sun,

Jiquan Ngiam,

Weiyue Wang,

Benjamin Caine,

Vijay Vasudevan,

Xiao Zhang,

Dragomir Anguelov

[pdf] [supp]

[bibtex]

@InProceedings{Chai_2021_CVPR, author = {Chai, Yuning and Sun, Pei and Ngiam, Jiquan and Wang, Weiyue and Caine, Benjamin and Vasudevan, Vijay and Zhang, Xiao and Anguelov, Dragomir}, title = {To the Point: Efficient 3D Object Detection in the Range Image With Graph Convolution Kernels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16000-16009} }

Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization

Haoyu Ma,

Xiangru Lin,

Zifeng Wu,

Yizhou Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Haoyu and Lin, Xiangru and Wu, Zifeng and Yu, Yizhou}, title = {Coarse-To-Fine Domain Adaptive Semantic Segmentation With Photometric Alignment and Category-Center Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4051-4060} }

Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification

Fariborz Taherkhani,

Ali Dabouei,

Sobhan Soleymani,

Jeremy Dawson,

Nasser M. Nasrabadi

[pdf]

[bibtex]

@InProceedings{Taherkhani_2021_CVPR, author = {Taherkhani, Fariborz and Dabouei, Ali and Soleymani, Sobhan and Dawson, Jeremy and Nasrabadi, Nasser M.}, title = {Self-Supervised Wasserstein Pseudo-Labeling for Semi-Supervised Image Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12267-12277} }

MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking

Jennifer Jang,

Heinrich Jiang

[pdf] [supp]

[bibtex]

@InProceedings{Jang_2021_CVPR, author = {Jang, Jennifer and Jiang, Heinrich}, title = {MeanShift++: Extremely Fast Mode-Seeking With Applications to Segmentation and Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4102-4113} }

PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers

Frank Yu,

Mathieu Salzmann,

Pascal Fua,

Helge Rhodin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Frank and Salzmann, Mathieu and Fua, Pascal and Rhodin, Helge}, title = {PCLs: Geometry-Aware Neural Reconstruction of 3D Pose With Perspective Crop Layers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9064-9073} }

Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss

Mouxing Yang,

Yunfan Li,

Zhenyu Huang,

Zitao Liu,

Peng Hu,

Xi Peng

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Mouxing and Li, Yunfan and Huang, Zhenyu and Liu, Zitao and Hu, Peng and Peng, Xi}, title = {Partially View-Aligned Representation Learning With Noise-Robust Contrastive Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1134-1143} }

i3DMM: Deep Implicit 3D Morphable Model of Human Heads

Tarun Yenamandra,

Ayush Tewari,

Florian Bernard,

Hans-Peter Seidel,

Mohamed Elgharib,

Daniel Cremers,

Christian Theobalt

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yenamandra_2021_CVPR, author = {Yenamandra, Tarun and Tewari, Ayush and Bernard, Florian and Seidel, Hans-Peter and Elgharib, Mohamed and Cremers, Daniel and Theobalt, Christian}, title = {i3DMM: Deep Implicit 3D Morphable Model of Human Heads}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12803-12813} }

Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator

Sian-Yao Huang,

Wei-Ta Chu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Sian-Yao and Chu, Wei-Ta}, title = {Searching by Generating: Flexible and Efficient One-Shot NAS With Architecture Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {983-992} }

Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes

Huiting Yang,

Liangyu Chai,

Qiang Wen,

Shuang Zhao,

Zixun Sun,

Shengfeng He

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Huiting and Chai, Liangyu and Wen, Qiang and Zhao, Shuang and Sun, Zixun and He, Shengfeng}, title = {Discovering Interpretable Latent Space Directions of GANs Beyond Binary Attributes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12177-12185} }

ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis

Yinan He,

Bei Gan,

Siyu Chen,

Yichun Zhou,

Guojun Yin,

Luchuan Song,

Lu Sheng,

Jing Shao,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Yinan and Gan, Bei and Chen, Siyu and Zhou, Yichun and Yin, Guojun and Song, Luchuan and Sheng, Lu and Shao, Jing and Liu, Ziwei}, title = {ForgeryNet: A Versatile Benchmark for Comprehensive Forgery Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4360-4369} }

Blocks-World Cameras

Jongho Lee,

Mohit Gupta

[pdf] [supp]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Jongho and Gupta, Mohit}, title = {Blocks-World Cameras}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11412-11422} }

The Affective Growth of Computer Vision

Norman Makoto Su,

David J. Crandall

[pdf]

[bibtex]

@InProceedings{Su_2021_CVPR, author = {Su, Norman Makoto and Crandall, David J.}, title = {The Affective Growth of Computer Vision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9291-9300} }

Lifelong Person Re-Identification via Adaptive Knowledge Accumulation

Nan Pu,

Wei Chen,

Yu Liu,

Erwin M. Bakker,

Michael S. Lew

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pu_2021_CVPR, author = {Pu, Nan and Chen, Wei and Liu, Yu and Bakker, Erwin M. and Lew, Michael S.}, title = {Lifelong Person Re-Identification via Adaptive Knowledge Accumulation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7901-7910} }

Omnimatte: Associating Objects and Their Effects in Video

Erika Lu,

Forrester Cole,

Tali Dekel,

Andrew Zisserman,

William T. Freeman,

Michael Rubinstein

[pdf] [arXiv]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Erika and Cole, Forrester and Dekel, Tali and Zisserman, Andrew and Freeman, William T. and Rubinstein, Michael}, title = {Omnimatte: Associating Objects and Their Effects in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4507-4515} }

Detecting Human-Object Interaction via Fabricated Compositional Learning

Zhi Hou,

Baosheng Yu,

Yu Qiao,

Xiaojiang Peng,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hou_2021_CVPR, author = {Hou, Zhi and Yu, Baosheng and Qiao, Yu and Peng, Xiaojiang and Tao, Dacheng}, title = {Detecting Human-Object Interaction via Fabricated Compositional Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14646-14655} }

Memory-Efficient Network for Large-Scale Video Compressive Sensing

Ziheng Cheng,

Bo Chen,

Guanliang Liu,

Hao Zhang,

Ruiying Lu,

Zhengjue Wang,

Xin Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ziheng and Chen, Bo and Liu, Guanliang and Zhang, Hao and Lu, Ruiying and Wang, Zhengjue and Yuan, Xin}, title = {Memory-Efficient Network for Large-Scale Video Compressive Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16246-16255} }

Deep Optimized Priors for 3D Shape Modeling and Reconstruction

Mingyue Yang,

Yuxin Wen,

Weikai Chen,

Yongwei Chen,

Kui Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Mingyue and Wen, Yuxin and Chen, Weikai and Chen, Yongwei and Jia, Kui}, title = {Deep Optimized Priors for 3D Shape Modeling and Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3269-3278} }

Affordance Transfer Learning for Human-Object Interaction Detection

Zhi Hou,

Baosheng Yu,

Yu Qiao,

Xiaojiang Peng,

Dacheng Tao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hou_2021_CVPR, author = {Hou, Zhi and Yu, Baosheng and Qiao, Yu and Peng, Xiaojiang and Tao, Dacheng}, title = {Affordance Transfer Learning for Human-Object Interaction Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {495-504} }

DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-Scale Consistency

Zongxin Yang,

Xin Yu,

Yi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Zongxin and Yu, Xin and Yang, Yi}, title = {DSC-PoseNet: Learning 6DoF Object Pose Estimation via Dual-Scale Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3907-3916} }

Rethinking Graph Neural Architecture Search From Message-Passing

Shaofei Cai,

Liang Li,

Jincan Deng,

Beichen Zhang,

Zheng-Jun Zha,

Li Su,

Qingming Huang

[pdf] [arXiv]

[bibtex]

@InProceedings{Cai_2021_CVPR, author = {Cai, Shaofei and Li, Liang and Deng, Jincan and Zhang, Beichen and Zha, Zheng-Jun and Su, Li and Huang, Qingming}, title = {Rethinking Graph Neural Architecture Search From Message-Passing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6657-6666} }

Locate Then Segment: A Strong Pipeline for Referring Image Segmentation

Ya Jing,

Tao Kong,

Wei Wang,

Liang Wang,

Lei Li,

Tieniu Tan

[pdf] [arXiv]

[bibtex]

@InProceedings{Jing_2021_CVPR, author = {Jing, Ya and Kong, Tao and Wang, Wei and Wang, Liang and Li, Lei and Tan, Tieniu}, title = {Locate Then Segment: A Strong Pipeline for Referring Image Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9858-9867} }

Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning

Mamshad Nayeem Rizve,

Salman Khan,

Fahad Shahbaz Khan,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Rizve_2021_CVPR, author = {Rizve, Mamshad Nayeem and Khan, Salman and Khan, Fahad Shahbaz and Shah, Mubarak}, title = {Exploring Complementary Strengths of Invariant and Equivariant Representations for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10836-10846} }

Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation

Elad Richardson,

Yuval Alaluf,

Or Patashnik,

Yotam Nitzan,

Yaniv Azar,

Stav Shapiro,

Daniel Cohen-Or

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Richardson_2021_CVPR, author = {Richardson, Elad and Alaluf, Yuval and Patashnik, Or and Nitzan, Yotam and Azar, Yaniv and Shapiro, Stav and Cohen-Or, Daniel}, title = {Encoding in Style: A StyleGAN Encoder for Image-to-Image Translation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2287-2296} }

Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning

Shaoxiang Chen,

Yu-Gang Jiang

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Shaoxiang and Jiang, Yu-Gang}, title = {Towards Bridging Event Captioner and Sentence Localizer for Weakly Supervised Dense Event Captioning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8425-8435} }

DER: Dynamically Expandable Representation for Class Incremental Learning

Shipeng Yan,

Jiangwei Xie,

Xuming He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Shipeng and Xie, Jiangwei and He, Xuming}, title = {DER: Dynamically Expandable Representation for Class Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3014-3023} }

Fine-Grained Angular Contrastive Learning With Coarse Labels

Guy Bukchin,

Eli Schwartz,

Kate Saenko,

Ori Shahar,

Rogerio Feris,

Raja Giryes,

Leonid Karlinsky

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bukchin_2021_CVPR, author = {Bukchin, Guy and Schwartz, Eli and Saenko, Kate and Shahar, Ori and Feris, Rogerio and Giryes, Raja and Karlinsky, Leonid}, title = {Fine-Grained Angular Contrastive Learning With Coarse Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8730-8740} }

Polarimetric Normal Stereo

Yoshiki Fukao,

Ryo Kawahara,

Shohei Nobuhara,

Ko Nishino

[pdf] [supp]

[bibtex]

@InProceedings{Fukao_2021_CVPR, author = {Fukao, Yoshiki and Kawahara, Ryo and Nobuhara, Shohei and Nishino, Ko}, title = {Polarimetric Normal Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {682-690} }

Manifold Regularized Dynamic Network Pruning

Yehui Tang,

Yunhe Wang,

Yixing Xu,

Yiping Deng,

Chao Xu,

Dacheng Tao,

Chang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Yehui and Wang, Yunhe and Xu, Yixing and Deng, Yiping and Xu, Chao and Tao, Dacheng and Xu, Chang}, title = {Manifold Regularized Dynamic Network Pruning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5018-5028} }

ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search

Lumin Xu,

Yingda Guan,

Sheng Jin,

Wentao Liu,

Chen Qian,

Ping Luo,

Wanli Ouyang,

Xiaogang Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Lumin and Guan, Yingda and Jin, Sheng and Liu, Wentao and Qian, Chen and Luo, Ping and Ouyang, Wanli and Wang, Xiaogang}, title = {ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16072-16081} }

Open Domain Generalization with Domain-Augmented Meta-Learning

Yang Shu,

Zhangjie Cao,

Chenyu Wang,

Jianmin Wang,

Mingsheng Long

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shu_2021_CVPR, author = {Shu, Yang and Cao, Zhangjie and Wang, Chenyu and Wang, Jianmin and Long, Mingsheng}, title = {Open Domain Generalization with Domain-Augmented Meta-Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9624-9633} }

DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images

Meng Ye,

Mikael Kanski,

Dong Yang,

Qi Chang,

Zhennan Yan,

Qiaoying Huang,

Leon Axel,

Dimitris Metaxas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ye_2021_CVPR, author = {Ye, Meng and Kanski, Mikael and Yang, Dong and Chang, Qi and Yan, Zhennan and Huang, Qiaoying and Axel, Leon and Metaxas, Dimitris}, title = {DeepTag: An Unsupervised Deep Learning Method for Motion Tracking on Cardiac Tagging Magnetic Resonance Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7261-7271} }

Learning by Planning: Language-Guided Global Image Editing

Jing Shi,

Ning Xu,

Yihang Xu,

Trung Bui,

Franck Dernoncourt,

Chenliang Xu

[pdf] [supp]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Jing and Xu, Ning and Xu, Yihang and Bui, Trung and Dernoncourt, Franck and Xu, Chenliang}, title = {Learning by Planning: Language-Guided Global Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13590-13599} }

Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation

Subhankar Roy,

Evgeny Krivosheev,

Zhun Zhong,

Nicu Sebe,

Elisa Ricci

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Roy_2021_CVPR, author = {Roy, Subhankar and Krivosheev, Evgeny and Zhong, Zhun and Sebe, Nicu and Ricci, Elisa}, title = {Curriculum Graph Co-Teaching for Multi-Target Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5351-5360} }

Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces

Berk Kaya,

Suryansh Kumar,

Carlos Oliveira,

Vittorio Ferrari,

Luc Van Gool

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kaya_2021_CVPR, author = {Kaya, Berk and Kumar, Suryansh and Oliveira, Carlos and Ferrari, Vittorio and Van Gool, Luc}, title = {Uncalibrated Neural Inverse Rendering for Photometric Stereo of General Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3804-3814} }

Improving the Transferability of Adversarial Samples With Adversarial Transformations

Weibin Wu,

Yuxin Su,

Michael R. Lyu,

Irwin King

[pdf]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Weibin and Su, Yuxin and Lyu, Michael R. and King, Irwin}, title = {Improving the Transferability of Adversarial Samples With Adversarial Transformations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9024-9033} }

Self-Supervised Learning for Semi-Supervised Temporal Action Proposal

Xiang Wang,

Shiwei Zhang,

Zhiwu Qing,

Yuanjie Shao,

Changxin Gao,

Nong Sang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xiang and Zhang, Shiwei and Qing, Zhiwu and Shao, Yuanjie and Gao, Changxin and Sang, Nong}, title = {Self-Supervised Learning for Semi-Supervised Temporal Action Proposal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1905-1914} }

Learning Compositional Representation for 4D Captures With Neural ODE

Boyan Jiang,

Yinda Zhang,

Xingkui Wei,

Xiangyang Xue,

Yanwei Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2021_CVPR, author = {Jiang, Boyan and Zhang, Yinda and Wei, Xingkui and Xue, Xiangyang and Fu, Yanwei}, title = {Learning Compositional Representation for 4D Captures With Neural ODE}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5340-5350} }

Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors

Haiquan Qiu,

Yao Wang,

Deyu Meng

[pdf] [supp]

[bibtex]

@InProceedings{Qiu_2021_CVPR, author = {Qiu, Haiquan and Wang, Yao and Meng, Deyu}, title = {Effective Snapshot Compressive-Spectral Imaging via Deep Denoising and Total Variation Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9127-9136} }

LAFEAT: Piercing Through Adversarial Defenses With Latent Features

Yunrui Yu,

Xitong Gao,

Cheng-Zhong Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Yunrui and Gao, Xitong and Xu, Cheng-Zhong}, title = {LAFEAT: Piercing Through Adversarial Defenses With Latent Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5735-5745} }

Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing

Hyunsu Kim,

Yunjey Choi,

Junho Kim,

Sungjoo Yoo,

Youngjung Uh

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Hyunsu and Choi, Yunjey and Kim, Junho and Yoo, Sungjoo and Uh, Youngjung}, title = {Exploiting Spatial Dimensions of Latent in GAN for Real-Time Image Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {852-861} }

Bidirectional Projection Network for Cross Dimension Scene Understanding

Wenbo Hu,

Hengshuang Zhao,

Li Jiang,

Jiaya Jia,

Tien-Tsin Wong

[pdf] [arXiv]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Wenbo and Zhao, Hengshuang and Jiang, Li and Jia, Jiaya and Wong, Tien-Tsin}, title = {Bidirectional Projection Network for Cross Dimension Scene Understanding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14373-14382} }

Event-Based Synthetic Aperture Imaging With a Hybrid Network

Xiang Zhang,

Wei Liao,

Lei Yu,

Wen Yang,

Gui-Song Xia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xiang and Liao, Wei and Yu, Lei and Yang, Wen and Xia, Gui-Song}, title = {Event-Based Synthetic Aperture Imaging With a Hybrid Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14235-14244} }

RSG: A Simple but Effective Module for Learning Imbalanced Datasets

Jianfeng Wang,

Thomas Lukasiewicz,

Xiaolin Hu,

Jianfei Cai,

Zhenghua Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jianfeng and Lukasiewicz, Thomas and Hu, Xiaolin and Cai, Jianfei and Xu, Zhenghua}, title = {RSG: A Simple but Effective Module for Learning Imbalanced Datasets}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3784-3793} }

Learning Statistical Texture for Semantic Segmentation

Lanyun Zhu,

Deyi Ji,

Shiping Zhu,

Weihao Gan,

Wei Wu,

Junjie Yan

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Lanyun and Ji, Deyi and Zhu, Shiping and Gan, Weihao and Wu, Wei and Yan, Junjie}, title = {Learning Statistical Texture for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12537-12546} }

Neural Feature Search for RGB-Infrared Person Re-Identification

Yehansen Chen,

Lin Wan,

Zhihang Li,

Qianyan Jing,

Zongyuan Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Yehansen and Wan, Lin and Li, Zhihang and Jing, Qianyan and Sun, Zongyuan}, title = {Neural Feature Search for RGB-Infrared Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {587-597} }

FP-NAS: Fast Probabilistic Neural Architecture Search

Zhicheng Yan,

Xiaoliang Dai,

Peizhao Zhang,

Yuandong Tian,

Bichen Wu,

Matt Feiszli

[pdf] [supp]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Zhicheng and Dai, Xiaoliang and Zhang, Peizhao and Tian, Yuandong and Wu, Bichen and Feiszli, Matt}, title = {FP-NAS: Fast Probabilistic Neural Architecture Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15139-15148} }

Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps

Gautam Pai,

Jing Ren,

Simone Melzi,

Peter Wonka,

Maks Ovsjanikov

[pdf] [supp]

[bibtex]

@InProceedings{Pai_2021_CVPR, author = {Pai, Gautam and Ren, Jing and Melzi, Simone and Wonka, Peter and Ovsjanikov, Maks}, title = {Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {384-393} }

Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction

Shanyan Guan,

Jingwei Xu,

Yunbo Wang,

Bingbing Ni,

Xiaokang Yang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Guan_2021_CVPR, author = {Guan, Shanyan and Xu, Jingwei and Wang, Yunbo and Ni, Bingbing and Yang, Xiaokang}, title = {Bilevel Online Adaptation for Out-of-Domain Human Mesh Reconstruction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10472-10481} }

The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth

Jamie Watson,

Oisin Mac Aodha,

Victor Prisacariu,

Gabriel Brostow,

Michael Firman

[pdf] [arXiv]

[bibtex]

@InProceedings{Watson_2021_CVPR, author = {Watson, Jamie and Mac Aodha, Oisin and Prisacariu, Victor and Brostow, Gabriel and Firman, Michael}, title = {The Temporal Opportunist: Self-Supervised Multi-Frame Monocular Depth}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1164-1174} }

Distribution-Aware Adaptive Multi-Bit Quantization

Sijie Zhao,

Tao Yue,

Xuemei Hu

[pdf] [supp]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Sijie and Yue, Tao and Hu, Xuemei}, title = {Distribution-Aware Adaptive Multi-Bit Quantization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9281-9290} }

KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA

Kenneth Marino,

Xinlei Chen,

Devi Parikh,

Abhinav Gupta,

Marcus Rohrbach

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Marino_2021_CVPR, author = {Marino, Kenneth and Chen, Xinlei and Parikh, Devi and Gupta, Abhinav and Rohrbach, Marcus}, title = {KRISP: Integrating Implicit and Symbolic Knowledge for Open-Domain Knowledge-Based VQA}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14111-14121} }

Amalgamating Knowledge From Heterogeneous Graph Neural Networks

Yongcheng Jing,

Yiding Yang,

Xinchao Wang,

Mingli Song,

Dacheng Tao

[pdf]

[bibtex]

@InProceedings{Jing_2021_CVPR, author = {Jing, Yongcheng and Yang, Yiding and Wang, Xinchao and Song, Mingli and Tao, Dacheng}, title = {Amalgamating Knowledge From Heterogeneous Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15709-15718} }

MetaSets: Meta-Learning on Point Sets for Generalizable Representations

Chao Huang,

Zhangjie Cao,

Yunbo Wang,

Jianmin Wang,

Mingsheng Long

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Chao and Cao, Zhangjie and Wang, Yunbo and Wang, Jianmin and Long, Mingsheng}, title = {MetaSets: Meta-Learning on Point Sets for Generalizable Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8863-8872} }

StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis

Moustafa Meshry,

Yixuan Ren,

Larry S. Davis,

Abhinav Shrivastava

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Meshry_2021_CVPR, author = {Meshry, Moustafa and Ren, Yixuan and Davis, Larry S. and Shrivastava, Abhinav}, title = {StEP: Style-Based Encoder Pre-Training for Multi-Modal Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3712-3721} }

Goal-Oriented Gaze Estimation for Zero-Shot Learning

Yang Liu,

Lei Zhou,

Xiao Bai,

Yifei Huang,

Lin Gu,

Jun Zhou,

Tatsuya Harada

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yang and Zhou, Lei and Bai, Xiao and Huang, Yifei and Gu, Lin and Zhou, Jun and Harada, Tatsuya}, title = {Goal-Oriented Gaze Estimation for Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3794-3803} }

LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering

Fu-En Wang,

Yu-Hsuan Yeh,

Min Sun,

Wei-Chen Chiu,

Yi-Hsuan Tsai

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Fu-En and Yeh, Yu-Hsuan and Sun, Min and Chiu, Wei-Chen and Tsai, Yi-Hsuan}, title = {LED2-Net: Monocular 360deg Layout Estimation via Differentiable Depth Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12956-12965} }

Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos

Mingxing Zhang,

Yang Yang,

Xinghan Chen,

Yanli Ji,

Xing Xu,

Jingjing Li,

Heng Tao Shen

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Mingxing and Yang, Yang and Chen, Xinghan and Ji, Yanli and Xu, Xing and Li, Jingjing and Shen, Heng Tao}, title = {Multi-Stage Aggregated Transformer Network for Temporal Language Localization in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12669-12678} }

DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation

Xinyi Wu,

Zhenyao Wu,

Hao Guo,

Lili Ju,

Song Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Xinyi and Wu, Zhenyao and Guo, Hao and Ju, Lili and Wang, Song}, title = {DANNet: A One-Stage Domain Adaptation Network for Unsupervised Nighttime Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15769-15778} }

Dynamic Transfer for Multi-Source Domain Adaptation

Yunsheng Li,

Lu Yuan,

Yinpeng Chen,

Pei Wang,

Nuno Vasconcelos

[pdf] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Yunsheng and Yuan, Lu and Chen, Yinpeng and Wang, Pei and Vasconcelos, Nuno}, title = {Dynamic Transfer for Multi-Source Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10998-11007} }

Semi-Supervised Video Deraining With Dynamical Rain Generator

Zongsheng Yue,

Jianwen Xie,

Qian Zhao,

Deyu Meng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yue_2021_CVPR, author = {Yue, Zongsheng and Xie, Jianwen and Zhao, Qian and Meng, Deyu}, title = {Semi-Supervised Video Deraining With Dynamical Rain Generator}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {642-652} }

See Through Gradients: Image Batch Recovery via GradInversion

Hongxu Yin,

Arun Mallya,

Arash Vahdat,

Jose M. Alvarez,

Jan Kautz,

Pavlo Molchanov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yin_2021_CVPR, author = {Yin, Hongxu and Mallya, Arun and Vahdat, Arash and Alvarez, Jose M. and Kautz, Jan and Molchanov, Pavlo}, title = {See Through Gradients: Image Batch Recovery via GradInversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16337-16346} }

Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition

Delian Ruan,

Yan Yan,

Shenqi Lai,

Zhenhua Chai,

Chunhua Shen,

Hanzi Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Ruan_2021_CVPR, author = {Ruan, Delian and Yan, Yan and Lai, Shenqi and Chai, Zhenhua and Shen, Chunhua and Wang, Hanzi}, title = {Feature Decomposition and Reconstruction Learning for Effective Facial Expression Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7660-7669} }

Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences

Norman Muller,

Yu-Shiang Wong,

Niloy J. Mitra,

Angela Dai,

Matthias Niessner

[pdf] [supp]

[bibtex]

@InProceedings{Muller_2021_CVPR, author = {Muller, Norman and Wong, Yu-Shiang and Mitra, Niloy J. and Dai, Angela and Niessner, Matthias}, title = {Seeing Behind Objects for 3D Multi-Object Tracking in RGB-D Sequences}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6071-6080} }

Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks

Xiaoxiao Long,

Lingjie Liu,

Wei Li,

Christian Theobalt,

Wenping Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Long_2021_CVPR, author = {Long, Xiaoxiao and Liu, Lingjie and Li, Wei and Theobalt, Christian and Wang, Wenping}, title = {Multi-view Depth Estimation using Epipolar Spatio-Temporal Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8258-8267} }

AutoFlow: Learning a Better Training Set for Optical Flow

Deqing Sun,

Daniel Vlasic,

Charles Herrmann,

Varun Jampani,

Michael Krainin,

Huiwen Chang,

Ramin Zabih,

William T. Freeman,

Ce Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Deqing and Vlasic, Daniel and Herrmann, Charles and Jampani, Varun and Krainin, Michael and Chang, Huiwen and Zabih, Ramin and Freeman, William T. and Liu, Ce}, title = {AutoFlow: Learning a Better Training Set for Optical Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10093-10102} }

LPSNet: A Lightweight Solution for Fast Panoptic Segmentation

Weixiang Hong,

Qingpei Guo,

Wei Zhang,

Jingdong Chen,

Wei Chu

[pdf]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Weixiang and Guo, Qingpei and Zhang, Wei and Chen, Jingdong and Chu, Wei}, title = {LPSNet: A Lightweight Solution for Fast Panoptic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16746-16754} }

You See What I Want You To See: Exploring Targeted Black-Box Transferability Attack for Hash-Based Image Retrieval Systems

Yanru Xiao,

Cong Wang

[pdf] [supp]

[bibtex]

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

The Blessings of Unlabeled Background in Untrimmed Videos

Yuan Liu,

Jingyuan Chen,

Zhenfang Chen,

Bing Deng,

Jianqiang Huang,

Hanwang Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yuan and Chen, Jingyuan and Chen, Zhenfang and Deng, Bing and Huang, Jianqiang and Zhang, Hanwang}, title = {The Blessings of Unlabeled Background in Untrimmed Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6176-6185} }

Autoregressive Stylized Motion Synthesis With Generative Flow

Yu-Hui Wen,

Zhipeng Yang,

Hongbo Fu,

Lin Gao,

Yanan Sun,

Yong-Jin Liu

[pdf] [supp]

[bibtex]

@InProceedings{Wen_2021_CVPR, author = {Wen, Yu-Hui and Yang, Zhipeng and Fu, Hongbo and Gao, Lin and Sun, Yanan and Liu, Yong-Jin}, title = {Autoregressive Stylized Motion Synthesis With Generative Flow}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13612-13621} }

Improving Multiple Object Tracking With Single Object Tracking

Linyu Zheng,

Ming Tang,

Yingying Chen,

Guibo Zhu,

Jinqiao Wang,

Hanqing Lu

[pdf] [supp]

[bibtex]

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

Memory Oriented Transfer Learning for Semi-Supervised Image Deraining

Huaibo Huang,

Aijing Yu,

Ran He

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Huaibo and Yu, Aijing and He, Ran}, title = {Memory Oriented Transfer Learning for Semi-Supervised Image Deraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7732-7741} }

Instance Localization for Self-Supervised Detection Pretraining

Ceyuan Yang,

Zhirong Wu,

Bolei Zhou,

Stephen Lin

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Ceyuan and Wu, Zhirong and Zhou, Bolei and Lin, Stephen}, title = {Instance Localization for Self-Supervised Detection Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3987-3996} }

Adaptive Methods for Real-World Domain Generalization

Abhimanyu Dubey,

Vignesh Ramanathan,

Alex Pentland,

Dhruv Mahajan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dubey_2021_CVPR, author = {Dubey, Abhimanyu and Ramanathan, Vignesh and Pentland, Alex and Mahajan, Dhruv}, title = {Adaptive Methods for Real-World Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14340-14349} }

Deep Animation Video Interpolation in the Wild

Li Siyao,

Shiyu Zhao,

Weijiang Yu,

Wenxiu Sun,

Dimitris Metaxas,

Chen Change Loy,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Siyao_2021_CVPR, author = {Siyao, Li and Zhao, Shiyu and Yu, Weijiang and Sun, Wenxiu and Metaxas, Dimitris and Loy, Chen Change and Liu, Ziwei}, title = {Deep Animation Video Interpolation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6587-6595} }

Isometric Multi-Shape Matching

Maolin Gao,

Zorah Lahner,

Johan Thunberg,

Daniel Cremers,

Florian Bernard

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Maolin and Lahner, Zorah and Thunberg, Johan and Cremers, Daniel and Bernard, Florian}, title = {Isometric Multi-Shape Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14183-14193} }

Spatially Consistent Representation Learning

Byungseok Roh,

Wuhyun Shin,

Ildoo Kim,

Sungwoong Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Roh_2021_CVPR, author = {Roh, Byungseok and Shin, Wuhyun and Kim, Ildoo and Kim, Sungwoong}, title = {Spatially Consistent Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1144-1153} }

Semantic Scene Completion via Integrating Instances and Scene In-the-Loop

Yingjie Cai,

Xuesong Chen,

Chao Zhang,

Kwan-Yee Lin,

Xiaogang Wang,

Hongsheng Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cai_2021_CVPR, author = {Cai, Yingjie and Chen, Xuesong and Zhang, Chao and Lin, Kwan-Yee and Wang, Xiaogang and Li, Hongsheng}, title = {Semantic Scene Completion via Integrating Instances and Scene In-the-Loop}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {324-333} }

Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation

Ling Hu,

Qinsong Li,

Shengjun Liu,

Xinru Liu

[pdf] [supp]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Ling and Li, Qinsong and Liu, Shengjun and Liu, Xinru}, title = {Efficient Deformable Shape Correspondence via Multiscale Spectral Manifold Wavelets Preservation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14536-14545} }

TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations

Jiahao Pang,

Duanshun Li,

Dong Tian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pang_2021_CVPR, author = {Pang, Jiahao and Li, Duanshun and Tian, Dong}, title = {TearingNet: Point Cloud Autoencoder To Learn Topology-Friendly Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7453-7462} }

Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics

Yanzhao Wu,

Ling Liu,

Zhongwei Xie,

Ka-Ho Chow,

Wenqi Wei

[pdf] [supp]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Yanzhao and Liu, Ling and Xie, Zhongwei and Chow, Ka-Ho and Wei, Wenqi}, title = {Boosting Ensemble Accuracy by Revisiting Ensemble Diversity Metrics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16469-16477} }

WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition

Zheng Zhu,

Guan Huang,

Jiankang Deng,

Yun Ye,

Junjie Huang,

Xinze Chen,

Jiagang Zhu,

Tian Yang,

Jiwen Lu,

Dalong Du,

Jie Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Zheng and Huang, Guan and Deng, Jiankang and Ye, Yun and Huang, Junjie and Chen, Xinze and Zhu, Jiagang and Yang, Tian and Lu, Jiwen and Du, Dalong and Zhou, Jie}, title = {WebFace260M: A Benchmark Unveiling the Power of Million-Scale Deep Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10492-10502} }

RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection

Pei Sun,

Weiyue Wang,

Yuning Chai,

Gamaleldin Elsayed,

Alex Bewley,

Xiao Zhang,

Cristian Sminchisescu,

Dragomir Anguelov

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Pei and Wang, Weiyue and Chai, Yuning and Elsayed, Gamaleldin and Bewley, Alex and Zhang, Xiao and Sminchisescu, Cristian and Anguelov, Dragomir}, title = {RSN: Range Sparse Net for Efficient, Accurate LiDAR 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5725-5734} }

Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting

K. Ram Prabhakar,

Gowtham Senthil,

Susmit Agrawal,

R. Venkatesh Babu,

Rama Krishna Sai S Gorthi

[pdf]

[bibtex]

@InProceedings{Prabhakar_2021_CVPR, author = {Prabhakar, K. Ram and Senthil, Gowtham and Agrawal, Susmit and Babu, R. Venkatesh and Gorthi, Rama Krishna Sai S}, title = {Labeled From Unlabeled: Exploiting Unlabeled Data for Few-Shot Deep HDR Deghosting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4875-4885} }

Convolutional Dynamic Alignment Networks for Interpretable Classifications

Moritz Bohle,

Mario Fritz,

Bernt Schiele

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bohle_2021_CVPR, author = {Bohle, Moritz and Fritz, Mario and Schiele, Bernt}, title = {Convolutional Dynamic Alignment Networks for Interpretable Classifications}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10029-10038} }

EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual

Songyan Zhang,

Zhicheng Wang,

Qiang Wang,

Jinshuo Zhang,

Gang Wei,

Xiaowen Chu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Songyan and Wang, Zhicheng and Wang, Qiang and Zhang, Jinshuo and Wei, Gang and Chu, Xiaowen}, title = {EDNet: Efficient Disparity Estimation With Cost Volume Combination and Attention-Based Spatial Residual}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5433-5442} }

Unsupervised Visual Representation Learning by Tracking Patches in Video

Guangting Wang,

Yizhou Zhou,

Chong Luo,

Wenxuan Xie,

Wenjun Zeng,

Zhiwei Xiong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Guangting and Zhou, Yizhou and Luo, Chong and Xie, Wenxuan and Zeng, Wenjun and Xiong, Zhiwei}, title = {Unsupervised Visual Representation Learning by Tracking Patches in Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2563-2572} }

Wasserstein Contrastive Representation Distillation

Liqun Chen,

Dong Wang,

Zhe Gan,

Jingjing Liu,

Ricardo Henao,

Lawrence Carin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Liqun and Wang, Dong and Gan, Zhe and Liu, Jingjing and Henao, Ricardo and Carin, Lawrence}, title = {Wasserstein Contrastive Representation Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16296-16305} }

Learnable Companding Quantization for Accurate Low-Bit Neural Networks

Kohei Yamamoto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yamamoto_2021_CVPR, author = {Yamamoto, Kohei}, title = {Learnable Companding Quantization for Accurate Low-Bit Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5029-5038} }

FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains

Jia Li,

Zhaoyang Li,

Jie Cao,

Xingguang Song,

Ran He

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Jia and Li, Zhaoyang and Cao, Jie and Song, Xingguang and He, Ran}, title = {FaceInpainter: High Fidelity Face Adaptation to Heterogeneous Domains}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5089-5098} }

How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?

Akshay Mehra,

Bhavya Kailkhura,

Pin-Yu Chen,

Jihun Hamm

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mehra_2021_CVPR, author = {Mehra, Akshay and Kailkhura, Bhavya and Chen, Pin-Yu and Hamm, Jihun}, title = {How Robust Are Randomized Smoothing Based Defenses to Data Poisoning?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13244-13253} }

Deep Learning in Latent Space for Video Prediction and Compression

Bowen Liu,

Yu Chen,

Shiyu Liu,

Hun-Seok Kim

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Bowen and Chen, Yu and Liu, Shiyu and Kim, Hun-Seok}, title = {Deep Learning in Latent Space for Video Prediction and Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {701-710} }

PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization

Guangming Wang,

Xinrui Wu,

Zhe Liu,

Hesheng Wang

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Guangming and Wu, Xinrui and Liu, Zhe and Wang, Hesheng}, title = {PWCLO-Net: Deep LiDAR Odometry in 3D Point Clouds Using Hierarchical Embedding Mask Optimization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15910-15919} }

ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning

Liyuan Wang,

Kuo Yang,

Chongxuan Li,

Lanqing Hong,

Zhenguo Li,

Jun Zhu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Liyuan and Yang, Kuo and Li, Chongxuan and Hong, Lanqing and Li, Zhenguo and Zhu, Jun}, title = {ORDisCo: Effective and Efficient Usage of Incremental Unlabeled Data for Semi-Supervised Continual Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5383-5392} }

Dynamic Region-Aware Convolution

Jin Chen,

Xijun Wang,

Zichao Guo,

Xiangyu Zhang,

Jian Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Jin and Wang, Xijun and Guo, Zichao and Zhang, Xiangyu and Sun, Jian}, title = {Dynamic Region-Aware Convolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8064-8073} }

Explore Image Deblurring via Encoded Blur Kernel Space

Phong Tran,

Anh Tuan Tran,

Quynh Phung,

Minh Hoai

[pdf] [supp]

[bibtex]

@InProceedings{Tran_2021_CVPR, author = {Tran, Phong and Tran, Anh Tuan and Phung, Quynh and Hoai, Minh}, title = {Explore Image Deblurring via Encoded Blur Kernel Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11956-11965} }

BCNet: Searching for Network Width With Bilaterally Coupled Network

Xiu Su,

Shan You,

Fei Wang,

Chen Qian,

Changshui Zhang,

Chang Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Su_2021_CVPR, author = {Su, Xiu and You, Shan and Wang, Fei and Qian, Chen and Zhang, Changshui and Xu, Chang}, title = {BCNet: Searching for Network Width With Bilaterally Coupled Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2175-2184} }

Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias

Yunhan Zhao,

Shu Kong,

Charless Fowlkes

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Yunhan and Kong, Shu and Fowlkes, Charless}, title = {Camera Pose Matters: Improving Depth Prediction by Mitigating Pose Distribution Bias}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15759-15768} }

Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer

Thao Nguyen,

Anh Tuan Tran,

Minh Hoai

[pdf] [supp]

[bibtex]

@InProceedings{Nguyen_2021_CVPR, author = {Nguyen, Thao and Tran, Anh Tuan and Hoai, Minh}, title = {Lipstick Ain't Enough: Beyond Color Matching for In-the-Wild Makeup Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13305-13314} }

Generative Interventions for Causal Learning

Chengzhi Mao,

Augustine Cha,

Amogh Gupta,

Hao Wang,

Junfeng Yang,

Carl Vondrick

[pdf] [arXiv]

[bibtex]

@InProceedings{Mao_2021_CVPR, author = {Mao, Chengzhi and Cha, Augustine and Gupta, Amogh and Wang, Hao and Yang, Junfeng and Vondrick, Carl}, title = {Generative Interventions for Causal Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3947-3956} }

Graph Stacked Hourglass Networks for 3D Human Pose Estimation

Tianhan Xu,

Wataru Takano

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Tianhan and Takano, Wataru}, title = {Graph Stacked Hourglass Networks for 3D Human Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16105-16114} }

Adaptive Aggregation Networks for Class-Incremental Learning

Yaoyao Liu,

Bernt Schiele,

Qianru Sun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yaoyao and Schiele, Bernt and Sun, Qianru}, title = {Adaptive Aggregation Networks for Class-Incremental Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2544-2553} }

VS-Net: Voting With Segmentation for Visual Localization

Zhaoyang Huang,

Han Zhou,

Yijin Li,

Bangbang Yang,

Yan Xu,

Xiaowei Zhou,

Hujun Bao,

Guofeng Zhang,

Hongsheng Li

[pdf] [supp]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Zhaoyang and Zhou, Han and Li, Yijin and Yang, Bangbang and Xu, Yan and Zhou, Xiaowei and Bao, Hujun and Zhang, Guofeng and Li, Hongsheng}, title = {VS-Net: Voting With Segmentation for Visual Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6101-6111} }

Learning To Identify Correct 2D-2D Line Correspondences on Sphere

Haoang Li,

Kai Chen,

Ji Zhao,

Jiangliu Wang,

Pyojin Kim,

Zhe Liu,

Yun-Hui Liu

[pdf]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Haoang and Chen, Kai and Zhao, Ji and Wang, Jiangliu and Kim, Pyojin and Liu, Zhe and Liu, Yun-Hui}, title = {Learning To Identify Correct 2D-2D Line Correspondences on Sphere}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11743-11752} }

Domain-Independent Dominance of Adaptive Methods

Pedro Savarese,

David McAllester,

Sudarshan Babu,

Michael Maire

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Savarese_2021_CVPR, author = {Savarese, Pedro and McAllester, David and Babu, Sudarshan and Maire, Michael}, title = {Domain-Independent Dominance of Adaptive Methods}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16286-16295} }

What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels

Jeonghun Baek,

Yusuke Matsui,

Kiyoharu Aizawa

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Baek_2021_CVPR, author = {Baek, Jeonghun and Matsui, Yusuke and Aizawa, Kiyoharu}, title = {What if We Only Use Real Datasets for Scene Text Recognition? Toward Scene Text Recognition With Fewer Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3113-3122} }

Incremental Learning via Rate Reduction

Ziyang Wu,

Christina Baek,

Chong You,

Yi Ma

[pdf] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Ziyang and Baek, Christina and You, Chong and Ma, Yi}, title = {Incremental Learning via Rate Reduction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1125-1133} }

Neural Descent for Visual 3D Human Pose and Shape

Andrei Zanfir,

Eduard Gabriel Bazavan,

Mihai Zanfir,

William T. Freeman,

Rahul Sukthankar,

Cristian Sminchisescu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zanfir_2021_CVPR, author = {Zanfir, Andrei and Bazavan, Eduard Gabriel and Zanfir, Mihai and Freeman, William T. and Sukthankar, Rahul and Sminchisescu, Cristian}, title = {Neural Descent for Visual 3D Human Pose and Shape}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14484-14493} }

HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers

Mingyu Ding,

Xiaochen Lian,

Linjie Yang,

Peng Wang,

Xiaojie Jin,

Zhiwu Lu,

Ping Luo

[pdf] [supp]

[bibtex]

@InProceedings{Ding_2021_CVPR, author = {Ding, Mingyu and Lian, Xiaochen and Yang, Linjie and Wang, Peng and Jin, Xiaojie and Lu, Zhiwu and Luo, Ping}, title = {HR-NAS: Searching Efficient High-Resolution Neural Architectures With Lightweight Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2982-2992} }

Transitional Adaptation of Pretrained Models for Visual Storytelling

Youngjae Yu,

Jiwan Chung,

Heeseung Yun,

Jongseok Kim,

Gunhee Kim

[pdf] [supp]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Youngjae and Chung, Jiwan and Yun, Heeseung and Kim, Jongseok and Kim, Gunhee}, title = {Transitional Adaptation of Pretrained Models for Visual Storytelling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12658-12668} }

Improving Panoptic Segmentation at All Scales

Lorenzo Porzi,

Samuel Rota Bulo,

Peter Kontschieder

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Porzi_2021_CVPR, author = {Porzi, Lorenzo and Bulo, Samuel Rota and Kontschieder, Peter}, title = {Improving Panoptic Segmentation at All Scales}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7302-7311} }

Model-Contrastive Federated Learning

Qinbin Li,

Bingsheng He,

Dawn Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Qinbin and He, Bingsheng and Song, Dawn}, title = {Model-Contrastive Federated Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10713-10722} }

Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?

Ruoxi Jia,

Fan Wu,

Xuehui Sun,

Jiacen Xu,

David Dao,

Bhavya Kailkhura,

Ce Zhang,

Bo Li,

Dawn Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jia_2021_CVPR, author = {Jia, Ruoxi and Wu, Fan and Sun, Xuehui and Xu, Jiacen and Dao, David and Kailkhura, Bhavya and Zhang, Ce and Li, Bo and Song, Dawn}, title = {Scalability vs. Utility: Do We Have To Sacrifice One for the Other in Data Importance Quantification?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8239-8247} }

Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment

Dongyu She,

Yu-Kun Lai,

Gaoxiong Yi,

Kun Xu

[pdf] [supp]

[bibtex]

@InProceedings{She_2021_CVPR, author = {She, Dongyu and Lai, Yu-Kun and Yi, Gaoxiong and Xu, Kun}, title = {Hierarchical Layout-Aware Graph Convolutional Network for Unified Aesthetics Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8475-8484} }

Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement

Huiwen Luo,

Koki Nagano,

Han-Wei Kung,

Qingguo Xu,

Zejian Wang,

Lingyu Wei,

Liwen Hu,

Hao Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2021_CVPR, author = {Luo, Huiwen and Nagano, Koki and Kung, Han-Wei and Xu, Qingguo and Wang, Zejian and Wei, Lingyu and Hu, Liwen and Li, Hao}, title = {Normalized Avatar Synthesis Using StyleGAN and Perceptual Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11662-11672} }

CT-Net: Complementary Transfering Network for Garment Transfer With Arbitrary Geometric Changes

Fan Yang,

Guosheng Lin

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Fan and Lin, Guosheng}, title = {CT-Net: Complementary Transfering Network for Garment Transfer With Arbitrary Geometric Changes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9899-9908} }

MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation

Xiaoqing Guo,

Chen Yang,

Baopu Li,

Yixuan Yuan

[pdf] [arXiv]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Xiaoqing and Yang, Chen and Li, Baopu and Yuan, Yixuan}, title = {MetaCorrection: Domain-Aware Meta Loss Correction for Unsupervised Domain Adaptation in Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3927-3936} }

Multi-Stage Progressive Image Restoration

Syed Waqas Zamir,

Aditya Arora,

Salman Khan,

Munawar Hayat,

Fahad Shahbaz Khan,

Ming-Hsuan Yang,

Ling Shao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zamir_2021_CVPR, author = {Zamir, Syed Waqas and Arora, Aditya and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Yang, Ming-Hsuan and Shao, Ling}, title = {Multi-Stage Progressive Image Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14821-14831} }

PointNetLK Revisited

Xueqian Li,

Jhony Kaesemodel Pontes,

Simon Lucey

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Xueqian and Pontes, Jhony Kaesemodel and Lucey, Simon}, title = {PointNetLK Revisited}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12763-12772} }

Deep Convolutional Dictionary Learning for Image Denoising

Hongyi Zheng,

Hongwei Yong,

Lei Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Hongyi and Yong, Hongwei and Zhang, Lei}, title = {Deep Convolutional Dictionary Learning for Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {630-641} }

Fourier Contour Embedding for Arbitrary-Shaped Text Detection

Yiqin Zhu,

Jianyong Chen,

Lingyu Liang,

Zhanghui Kuang,

Lianwen Jin,

Wayne Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Yiqin and Chen, Jianyong and Liang, Lingyu and Kuang, Zhanghui and Jin, Lianwen and Zhang, Wayne}, title = {Fourier Contour Embedding for Arbitrary-Shaped Text Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3123-3131} }

TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption

Zhengyuan Yang,

Yijuan Lu,

Jianfeng Wang,

Xi Yin,

Dinei Florencio,

Lijuan Wang,

Cha Zhang,

Lei Zhang,

Jiebo Luo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Zhengyuan and Lu, Yijuan and Wang, Jianfeng and Yin, Xi and Florencio, Dinei and Wang, Lijuan and Zhang, Cha and Zhang, Lei and Luo, Jiebo}, title = {TAP: Text-Aware Pre-Training for Text-VQA and Text-Caption}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8751-8761} }

Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning

Zhicheng Huang,

Zhaoyang Zeng,

Yupan Huang,

Bei Liu,

Dongmei Fu,

Jianlong Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Zhicheng and Zeng, Zhaoyang and Huang, Yupan and Liu, Bei and Fu, Dongmei and Fu, Jianlong}, title = {Seeing Out of the Box: End-to-End Pre-Training for Vision-Language Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12976-12985} }

Quality-Agnostic Image Recognition via Invertible Decoder

Insoo Kim,

Seungju Han,

Ji-won Baek,

Seong-Jin Park,

Jae-Joon Han,

Jinwoo Shin

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Insoo and Han, Seungju and Baek, Ji-won and Park, Seong-Jin and Han, Jae-Joon and Shin, Jinwoo}, title = {Quality-Agnostic Image Recognition via Invertible Decoder}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12257-12266} }

Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach

Yu Chen,

Ji Zhao,

Laurent Kneip

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Yu and Zhao, Ji and Kneip, Laurent}, title = {Hybrid Rotation Averaging: A Fast and Robust Rotation Averaging Approach}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10358-10367} }

One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation

Zhengzhe Liu,

Xiaojuan Qi,

Chi-Wing Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Zhengzhe and Qi, Xiaojuan and Fu, Chi-Wing}, title = {One Thing One Click: A Self-Training Approach for Weakly Supervised 3D Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1726-1736} }

Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces

Alireza Zaeemzadeh,

Niccolo Bisagno,

Zeno Sambugaro,

Nicola Conci,

Nazanin Rahnavard,

Mubarak Shah

[pdf] [supp]

[bibtex]

@InProceedings{Zaeemzadeh_2021_CVPR, author = {Zaeemzadeh, Alireza and Bisagno, Niccolo and Sambugaro, Zeno and Conci, Nicola and Rahnavard, Nazanin and Shah, Mubarak}, title = {Out-of-Distribution Detection Using Union of 1-Dimensional Subspaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9452-9461} }

MP3: A Unified Model To Map, Perceive, Predict and Plan

Sergio Casas,

Abbas Sadat,

Raquel Urtasun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Casas_2021_CVPR, author = {Casas, Sergio and Sadat, Abbas and Urtasun, Raquel}, title = {MP3: A Unified Model To Map, Perceive, Predict and Plan}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14403-14412} }

SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements

Qianli Ma,

Shunsuke Saito,

Jinlong Yang,

Siyu Tang,

Michael J. Black

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ma_2021_CVPR, author = {Ma, Qianli and Saito, Shunsuke and Yang, Jinlong and Tang, Siyu and Black, Michael J.}, title = {SCALE: Modeling Clothed Humans with a Surface Codec of Articulated Local Elements}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16082-16093} }

Playable Video Generation

Willi Menapace,

Stephane Lathuiliere,

Sergey Tulyakov,

Aliaksandr Siarohin,

Elisa Ricci

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Menapace_2021_CVPR, author = {Menapace, Willi and Lathuiliere, Stephane and Tulyakov, Sergey and Siarohin, Aliaksandr and Ricci, Elisa}, title = {Playable Video Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10061-10070} }

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries

Qianjiang Hu,

Xiao Wang,

Wei Hu,

Guo-Jun Qi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Qianjiang and Wang, Xiao and Hu, Wei and Qi, Guo-Jun}, title = {AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations From Self-Trained Negative Adversaries}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1074-1083} }

Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks

Julieta Martinez,

Jashan Shewakramani,

Ting Wei Liu,

Ioan Andrei Barsan,

Wenyuan Zeng,

Raquel Urtasun

[pdf]

[bibtex]

@InProceedings{Martinez_2021_CVPR, author = {Martinez, Julieta and Shewakramani, Jashan and Liu, Ting Wei and Barsan, Ioan Andrei and Zeng, Wenyuan and Urtasun, Raquel}, title = {Permute, Quantize, and Fine-Tune: Efficient Compression of Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15699-15708} }

Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis

Karren Yang,

Samuel Goldman,

Wengong Jin,

Alex X. Lu,

Regina Barzilay,

Tommi Jaakkola,

Caroline Uhler

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Karren and Goldman, Samuel and Jin, Wengong and Lu, Alex X. and Barzilay, Regina and Jaakkola, Tommi and Uhler, Caroline}, title = {Mol2Image: Improved Conditional Flow Models for Molecule to Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6688-6698} }

Improved Handling of Motion Blur in Online Object Detection

Mohamed Sayed,

Gabriel Brostow

[pdf] [arXiv]

[bibtex]

@InProceedings{Sayed_2021_CVPR, author = {Sayed, Mohamed and Brostow, Gabriel}, title = {Improved Handling of Motion Blur in Online Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1706-1716} }

Multimodal Motion Prediction With Stacked Transformers

Yicheng Liu,

Jinghuai Zhang,

Liangji Fang,

Qinhong Jiang,

Bolei Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yicheng and Zhang, Jinghuai and Fang, Liangji and Jiang, Qinhong and Zhou, Bolei}, title = {Multimodal Motion Prediction With Stacked Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7577-7586} }

The Translucent Patch: A Physical and Universal Attack on Object Detectors

Alon Zolfi,

Moshe Kravchik,

Yuval Elovici,

Asaf Shabtai

[pdf] [arXiv]

[bibtex]

@InProceedings{Zolfi_2021_CVPR, author = {Zolfi, Alon and Kravchik, Moshe and Elovici, Yuval and Shabtai, Asaf}, title = {The Translucent Patch: A Physical and Universal Attack on Object Detectors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15232-15241} }

Exploit Visual Dependency Relations for Semantic Segmentation

Mingyuan Liu,

Dan Schonfeld,

Wei Tang

[pdf] [supp]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Mingyuan and Schonfeld, Dan and Tang, Wei}, title = {Exploit Visual Dependency Relations for Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9726-9735} }

Dense Label Encoding for Boundary Discontinuity Free Rotation Detection

Xue Yang,

Liping Hou,

Yue Zhou,

Wentao Wang,

Junchi Yan

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Xue and Hou, Liping and Zhou, Yue and Wang, Wentao and Yan, Junchi}, title = {Dense Label Encoding for Boundary Discontinuity Free Rotation Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15819-15829} }

Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On

Igor Santesteban,

Nils Thuerey,

Miguel A. Otaduy,

Dan Casas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Santesteban_2021_CVPR, author = {Santesteban, Igor and Thuerey, Nils and Otaduy, Miguel A. and Casas, Dan}, title = {Self-Supervised Collision Handling via Generative 3D Garment Models for Virtual Try-On}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11763-11773} }

DexYCB: A Benchmark for Capturing Hand Grasping of Objects

Yu-Wei Chao,

Wei Yang,

Yu Xiang,

Pavlo Molchanov,

Ankur Handa,

Jonathan Tremblay,

Yashraj S. Narang,

Karl Van Wyk,

Umar Iqbal,

Stan Birchfield,

Jan Kautz,

Dieter Fox

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chao_2021_CVPR, author = {Chao, Yu-Wei and Yang, Wei and Xiang, Yu and Molchanov, Pavlo and Handa, Ankur and Tremblay, Jonathan and Narang, Yashraj S. and Van Wyk, Karl and Iqbal, Umar and Birchfield, Stan and Kautz, Jan and Fox, Dieter}, title = {DexYCB: A Benchmark for Capturing Hand Grasping of Objects}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9044-9053} }

Prototype Completion With Primitive Knowledge for Few-Shot Learning

Baoquan Zhang,

Xutao Li,

Yunming Ye,

Zhichao Huang,

Lisai Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Baoquan and Li, Xutao and Ye, Yunming and Huang, Zhichao and Zhang, Lisai}, title = {Prototype Completion With Primitive Knowledge for Few-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3754-3762} }

High-Quality Stereo Image Restoration From Double Refraction

Hakyeong Kim,

Andreas Meuleman,

Daniel S. Jeon,

Min H. Kim

[pdf] [supp]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Hakyeong and Meuleman, Andreas and Jeon, Daniel S. and Kim, Min H.}, title = {High-Quality Stereo Image Restoration From Double Refraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11987-11995} }

Track, Check, Repeat: An EM Approach to Unsupervised Tracking

Adam W. Harley,

Yiming Zuo,

Jing Wen,

Ayush Mangal,

Shubhankar Potdar,

Ritwick Chaudhry,

Katerina Fragkiadaki

[pdf] [arXiv]

[bibtex]

@InProceedings{Harley_2021_CVPR, author = {Harley, Adam W. and Zuo, Yiming and Wen, Jing and Mangal, Ayush and Potdar, Shubhankar and Chaudhry, Ritwick and Fragkiadaki, Katerina}, title = {Track, Check, Repeat: An EM Approach to Unsupervised Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16581-16591} }

LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity

Cheng-Fu Yang,

Wan-Cyuan Fan,

Fu-En Yang,

Yu-Chiang Frank Wang

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Cheng-Fu and Fan, Wan-Cyuan and Yang, Fu-En and Wang, Yu-Chiang Frank}, title = {LayoutTransformer: Scene Layout Generation With Conceptual and Spatial Diversity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3732-3741} }

Practical Wide-Angle Portraits Correction With Deep Structured Models

Jing Tan,

Shan Zhao,

Pengfei Xiong,

Jiangyu Liu,

Haoqiang Fan,

Shuaicheng Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tan_2021_CVPR, author = {Tan, Jing and Zhao, Shan and Xiong, Pengfei and Liu, Jiangyu and Fan, Haoqiang and Liu, Shuaicheng}, title = {Practical Wide-Angle Portraits Correction With Deep Structured Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3498-3506} }

CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild

Bastian Wandt,

Marco Rudolph,

Petrissa Zell,

Helge Rhodin,

Bodo Rosenhahn

[pdf] [arXiv]

[bibtex]

@InProceedings{Wandt_2021_CVPR, author = {Wandt, Bastian and Rudolph, Marco and Zell, Petrissa and Rhodin, Helge and Rosenhahn, Bodo}, title = {CanonPose: Self-Supervised Monocular 3D Human Pose Estimation in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13294-13304} }

Pushing It Out of the Way: Interactive Visual Navigation

Kuo-Hao Zeng,

Luca Weihs,

Ali Farhadi,

Roozbeh Mottaghi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zeng_2021_CVPR, author = {Zeng, Kuo-Hao and Weihs, Luca and Farhadi, Ali and Mottaghi, Roozbeh}, title = {Pushing It Out of the Way: Interactive Visual Navigation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9868-9877} }

Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation

Liwei Wang,

Jing Huang,

Yin Li,

Kun Xu,

Zhengyuan Yang,

Dong Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Liwei and Huang, Jing and Li, Yin and Xu, Kun and Yang, Zhengyuan and Yu, Dong}, title = {Improving Weakly Supervised Visual Grounding by Contrastive Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14090-14100} }

EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation

Lin Wang,

Yujeong Chae,

Sung-Hoon Yoon,

Tae-Kyun Kim,

Kuk-Jin Yoon

[pdf]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Lin and Chae, Yujeong and Yoon, Sung-Hoon and Kim, Tae-Kyun and Yoon, Kuk-Jin}, title = {EvDistill: Asynchronous Events To End-Task Learning via Bidirectional Reconstruction-Guided Cross-Modal Knowledge Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {608-619} }

LoFTR: Detector-Free Local Feature Matching With Transformers

Jiaming Sun,

Zehong Shen,

Yuang Wang,

Hujun Bao,

Xiaowei Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Jiaming and Shen, Zehong and Wang, Yuang and Bao, Hujun and Zhou, Xiaowei}, title = {LoFTR: Detector-Free Local Feature Matching With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8922-8931} }

Combinatorial Learning of Graph Edit Distance via Dynamic Embedding

Runzhong Wang,

Tianqi Zhang,

Tianshu Yu,

Junchi Yan,

Xiaokang Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Runzhong and Zhang, Tianqi and Yu, Tianshu and Yan, Junchi and Yang, Xiaokang}, title = {Combinatorial Learning of Graph Edit Distance via Dynamic Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5241-5250} }

Radar-Camera Pixel Depth Association for Depth Completion

Yunfei Long,

Daniel Morris,

Xiaoming Liu,

Marcos Castro,

Punarjay Chakravarty,

Praveen Narayanan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Long_2021_CVPR, author = {Long, Yunfei and Morris, Daniel and Liu, Xiaoming and Castro, Marcos and Chakravarty, Punarjay and Narayanan, Praveen}, title = {Radar-Camera Pixel Depth Association for Depth Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12507-12516} }

Improved Image Matting via Real-Time User Clicks and Uncertainty Estimation

Tianyi Wei,

Dongdong Chen,

Wenbo Zhou,

Jing Liao,

Hanqing Zhao,

Weiming Zhang,

Nenghai Yu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2021_CVPR, author = {Wei, Tianyi and Chen, Dongdong and Zhou, Wenbo and Liao, Jing and Zhao, Hanqing and Zhang, Weiming and Yu, Nenghai}, title = {Improved Image Matting via Real-Time User Clicks and Uncertainty Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15374-15383} }

Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs

Lile Cai,

Xun Xu,

Jun Hao Liew,

Chuan Sheng Foo

[pdf] [supp]

[bibtex]

@InProceedings{Cai_2021_CVPR, author = {Cai, Lile and Xu, Xun and Liew, Jun Hao and Foo, Chuan Sheng}, title = {Revisiting Superpixels for Active Learning in Semantic Segmentation With Realistic Annotation Costs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10988-10997} }

IMODAL: Creating Learnable User-Defined Deformation Models

Leander Lacroix,

Benjamin Charlier,

Alain Trouve,

Barbara Gris

[pdf] [supp]

[bibtex]

@InProceedings{Lacroix_2021_CVPR, author = {Lacroix, Leander and Charlier, Benjamin and Trouve, Alain and Gris, Barbara}, title = {IMODAL: Creating Learnable User-Defined Deformation Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12905-12913} }

Fast End-to-End Learning on Protein Surfaces

Freyr Sverrisson,

Jean Feydy,

Bruno E. Correia,

Michael M. Bronstein

[pdf] [supp]

[bibtex]

@InProceedings{Sverrisson_2021_CVPR, author = {Sverrisson, Freyr and Feydy, Jean and Correia, Bruno E. and Bronstein, Michael M.}, title = {Fast End-to-End Learning on Protein Surfaces}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15272-15281} }

Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules

Aisha Urooj,

Hilde Kuehne,

Kevin Duarte,

Chuang Gan,

Niels Lobo,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Urooj_2021_CVPR, author = {Urooj, Aisha and Kuehne, Hilde and Duarte, Kevin and Gan, Chuang and Lobo, Niels and Shah, Mubarak}, title = {Found a Reason for me? Weakly-supervised Grounded Visual Question Answering using Capsules}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8465-8474} }

Person Re-Identification Using Heterogeneous Local Graph Attention Networks

Zhong Zhang,

Haijia Zhang,

Shuang Liu

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zhong and Zhang, Haijia and Liu, Shuang}, title = {Person Re-Identification Using Heterogeneous Local Graph Attention Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12136-12145} }

Recurrent Multi-View Alignment Network for Unsupervised Surface Registration

Wanquan Feng,

Juyong Zhang,

Hongrui Cai,

Haofei Xu,

Junhui Hou,

Hujun Bao

[pdf] [arXiv]

[bibtex]

@InProceedings{Feng_2021_CVPR, author = {Feng, Wanquan and Zhang, Juyong and Cai, Hongrui and Xu, Haofei and Hou, Junhui and Bao, Hujun}, title = {Recurrent Multi-View Alignment Network for Unsupervised Surface Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10297-10307} }

Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction

Sriram Narayanan,

Ramin Moslemi,

Francesco Pittaluga,

Buyu Liu,

Manmohan Chandraker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Narayanan_2021_CVPR, author = {Narayanan, Sriram and Moslemi, Ramin and Pittaluga, Francesco and Liu, Buyu and Chandraker, Manmohan}, title = {Divide-and-Conquer for Lane-Aware Diverse Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15799-15808} }

Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild

Akash Sengupta,

Ignas Budvytis,

Roberto Cipolla

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sengupta_2021_CVPR, author = {Sengupta, Akash and Budvytis, Ignas and Cipolla, Roberto}, title = {Probabilistic 3D Human Shape and Pose Estimation From Multiple Unconstrained Images in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16094-16104} }

Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency

Qing Liu,

Vignesh Ramanathan,

Dhruv Mahajan,

Alan Yuille,

Zhenheng Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Qing and Ramanathan, Vignesh and Mahajan, Dhruv and Yuille, Alan and Yang, Zhenheng}, title = {Weakly Supervised Instance Segmentation for Videos With Temporal Mask Consistency}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13968-13978} }

Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts

Ji Hou,

Benjamin Graham,

Matthias Niessner,

Saining Xie

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hou_2021_CVPR, author = {Hou, Ji and Graham, Benjamin and Niessner, Matthias and Xie, Saining}, title = {Exploring Data-Efficient 3D Scene Understanding With Contrastive Scene Contexts}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15587-15597} }

MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition

Ayan Kumar Bhunia,

Shuvozit Ghose,

Amandeep Kumar,

Pinaki Nath Chowdhury,

Aneeshan Sain,

Yi-Zhe Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bhunia_2021_CVPR, author = {Bhunia, Ayan Kumar and Ghose, Shuvozit and Kumar, Amandeep and Chowdhury, Pinaki Nath and Sain, Aneeshan and Song, Yi-Zhe}, title = {MetaHTR: Towards Writer-Adaptive Handwritten Text Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15830-15839} }

Learning To Reconstruct High Speed and High Dynamic Range Videos From Events

Yunhao Zou,

Yinqiang Zheng,

Tsuyoshi Takatani,

Ying Fu

[pdf]

[bibtex]

@InProceedings{Zou_2021_CVPR, author = {Zou, Yunhao and Zheng, Yinqiang and Takatani, Tsuyoshi and Fu, Ying}, title = {Learning To Reconstruct High Speed and High Dynamic Range Videos From Events}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2024-2033} }

PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery

Tianyi Zhang,

Jie Lin,

Peng Hu,

Bin Zhao,

Mohamed M. Sabry Aly

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Tianyi and Lin, Jie and Hu, Peng and Zhao, Bin and Aly, Mohamed M. Sabry}, title = {PSRR-MaxpoolNMS: Pyramid Shifted MaxpoolNMS With Relationship Recovery}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15840-15848} }

Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset

Zhimeng Zhang,

Lincheng Li,

Yu Ding,

Changjie Fan

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Zhimeng and Li, Lincheng and Ding, Yu and Fan, Changjie}, title = {Flow-Guided One-Shot Talking Face Generation With a High-Resolution Audio-Visual Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3661-3670} }

VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval

Sijie Zhu,

Taojiannan Yang,

Chen Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Sijie and Yang, Taojiannan and Chen, Chen}, title = {VIGOR: Cross-View Image Geo-Localization Beyond One-to-One Retrieval}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3640-3649} }

D-NeRF: Neural Radiance Fields for Dynamic Scenes

Albert Pumarola,

Enric Corona,

Gerard Pons-Moll,

Francesc Moreno-Noguer

[pdf]

[bibtex]

@InProceedings{Pumarola_2021_CVPR, author = {Pumarola, Albert and Corona, Enric and Pons-Moll, Gerard and Moreno-Noguer, Francesc}, title = {D-NeRF: Neural Radiance Fields for Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10318-10327} }

Towards Unified Surgical Skill Assessment

Daochang Liu,

Qiyue Li,

Tingting Jiang,

Yizhou Wang,

Rulin Miao,

Fei Shan,

Ziyu Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Daochang and Li, Qiyue and Jiang, Tingting and Wang, Yizhou and Miao, Rulin and Shan, Fei and Li, Ziyu}, title = {Towards Unified Surgical Skill Assessment}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9522-9531} }

Read and Attend: Temporal Localisation in Sign Language Videos

Gul Varol,

Liliane Momeni,

Samuel Albanie,

Triantafyllos Afouras,

Andrew Zisserman

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Varol_2021_CVPR, author = {Varol, Gul and Momeni, Liliane and Albanie, Samuel and Afouras, Triantafyllos and Zisserman, Andrew}, title = {Read and Attend: Temporal Localisation in Sign Language Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16857-16866} }

ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation

Qiang Zhang,

Shenlu Zhao,

Yongjiang Luo,

Dingwen Zhang,

Nianchang Huang,

Jungong Han

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Qiang and Zhao, Shenlu and Luo, Yongjiang and Zhang, Dingwen and Huang, Nianchang and Han, Jungong}, title = {ABMDRNet: Adaptive-Weighted Bi-Directional Modality Difference Reduction Network for RGB-T Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2633-2642} }

Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation

Ryuhei Hamaguchi,

Yasutaka Furukawa,

Masaki Onishi,

Ken Sakurada

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hamaguchi_2021_CVPR, author = {Hamaguchi, Ryuhei and Furukawa, Yasutaka and Onishi, Masaki and Sakurada, Ken}, title = {Heterogeneous Grid Convolution for Adaptive, Efficient, and Controllable Computation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13946-13955} }

Learning a Facial Expression Embedding Disentangled From Identity

Wei Zhang,

Xianpeng Ji,

Keyu Chen,

Yu Ding,

Changjie Fan

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Wei and Ji, Xianpeng and Chen, Keyu and Ding, Yu and Fan, Changjie}, title = {Learning a Facial Expression Embedding Disentangled From Identity}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6759-6768} }

Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization

Jiaru Zhang,

Yang Hua,

Zhengui Xue,

Tao Song,

Chengyu Zheng,

Ruhui Ma,

Haibing Guan

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Jiaru and Hua, Yang and Xue, Zhengui and Song, Tao and Zheng, Chengyu and Ma, Ruhui and Guan, Haibing}, title = {Robust Bayesian Neural Networks by Spectral Expectation Bound Regularization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3815-3824} }

Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression

Wanhua Li,

Xiaoke Huang,

Jiwen Lu,

Jianjiang Feng,

Jie Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Wanhua and Huang, Xiaoke and Lu, Jiwen and Feng, Jianjiang and Zhou, Jie}, title = {Learning Probabilistic Ordinal Embeddings for Uncertainty-Aware Regression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13896-13905} }

StyleMix: Separating Content and Style for Enhanced Data Augmentation

Minui Hong,

Jinwoo Choi,

Gunhee Kim

[pdf] [supp]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Minui and Choi, Jinwoo and Kim, Gunhee}, title = {StyleMix: Separating Content and Style for Enhanced Data Augmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14862-14870} }

Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain

Mingchen Zhuge,

Dehong Gao,

Deng-Ping Fan,

Linbo Jin,

Ben Chen,

Haoming Zhou,

Minghui Qiu,

Ling Shao

[pdf]

[bibtex]

@InProceedings{Zhuge_2021_CVPR, author = {Zhuge, Mingchen and Gao, Dehong and Fan, Deng-Ping and Jin, Linbo and Chen, Ben and Zhou, Haoming and Qiu, Minghui and Shao, Ling}, title = {Kaleido-BERT: Vision-Language Pre-Training on Fashion Domain}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12647-12657} }

Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos

Sijie Song,

Xudong Lin,

Jiaying Liu,

Zongming Guo,

Shih-Fu Chang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Song_2021_CVPR, author = {Song, Sijie and Lin, Xudong and Liu, Jiaying and Guo, Zongming and Chang, Shih-Fu}, title = {Co-Grounding Networks With Semantic Attention for Referring Expression Comprehension in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1346-1355} }

Binary Graph Neural Networks

Mehdi Bahri,

Gaetan Bahl,

Stefanos Zafeiriou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bahri_2021_CVPR, author = {Bahri, Mehdi and Bahl, Gaetan and Zafeiriou, Stefanos}, title = {Binary Graph Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9492-9501} }

3D CNNs With Adaptive Temporal Feature Resolutions

Mohsen Fayyaz,

Emad Bahrami,

Ali Diba,

Mehdi Noroozi,

Ehsan Adeli,

Luc Van Gool,

Jurgen Gall

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fayyaz_2021_CVPR, author = {Fayyaz, Mohsen and Bahrami, Emad and Diba, Ali and Noroozi, Mehdi and Adeli, Ehsan and Van Gool, Luc and Gall, Jurgen}, title = {3D CNNs With Adaptive Temporal Feature Resolutions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4731-4740} }

Space-Time Neural Irradiance Fields for Free-Viewpoint Video

Wenqi Xian,

Jia-Bin Huang,

Johannes Kopf,

Changil Kim

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xian_2021_CVPR, author = {Xian, Wenqi and Huang, Jia-Bin and Kopf, Johannes and Kim, Changil}, title = {Space-Time Neural Irradiance Fields for Free-Viewpoint Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9421-9431} }

AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation

Denis Gudovskiy,

Luca Rigazio,

Shun Ishizaka,

Kazuki Kozuka,

Sotaro Tsukizawa

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gudovskiy_2021_CVPR, author = {Gudovskiy, Denis and Rigazio, Luca and Ishizaka, Shun and Kozuka, Kazuki and Tsukizawa, Sotaro}, title = {AutoDO: Robust AutoAugment for Biased Data With Label Noise via Scalable Probabilistic Implicit Differentiation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16601-16610} }

Multiple Instance Active Learning for Object Detection

Tianning Yuan,

Fang Wan,

Mengying Fu,

Jianzhuang Liu,

Songcen Xu,

Xiangyang Ji,

Qixiang Ye

[pdf] [arXiv]

[bibtex]

@InProceedings{Yuan_2021_CVPR, author = {Yuan, Tianning and Wan, Fang and Fu, Mengying and Liu, Jianzhuang and Xu, Songcen and Ji, Xiangyang and Ye, Qixiang}, title = {Multiple Instance Active Learning for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5330-5339} }

Forecasting Irreversible Disease via Progression Learning

Botong Wu,

Sijie Ren,

Jing Li,

Xinwei Sun,

Shi-Ming Li,

Yizhou Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wu_2021_CVPR, author = {Wu, Botong and Ren, Sijie and Li, Jing and Sun, Xinwei and Li, Shi-Ming and Wang, Yizhou}, title = {Forecasting Irreversible Disease via Progression Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8117-8125} }

Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack

He Wang,

Feixiang He,

Zhexi Peng,

Tianjia Shao,

Yong-Liang Yang,

Kun Zhou,

David Hogg

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, He and He, Feixiang and Peng, Zhexi and Shao, Tianjia and Yang, Yong-Liang and Zhou, Kun and Hogg, David}, title = {Understanding the Robustness of Skeleton-Based Action Recognition Under Adversarial Attack}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14656-14665} }

Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation

Bo Li,

Yezhen Wang,

Shanghang Zhang,

Dongsheng Li,

Kurt Keutzer,

Trevor Darrell,

Han Zhao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Bo and Wang, Yezhen and Zhang, Shanghang and Li, Dongsheng and Keutzer, Kurt and Darrell, Trevor and Zhao, Han}, title = {Learning Invariant Representations and Risks for Semi-Supervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1104-1113} }

Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images

Yuemei Zhou,

Gaochang Wu,

Ying Fu,

Kun Li,

Yebin Liu

[pdf]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yuemei and Wu, Gaochang and Fu, Ying and Li, Kun and Liu, Yebin}, title = {Cross-MPI: Cross-Scale Stereo for Image Super-Resolution Using Multiplane Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14842-14851} }

Neural Cellular Automata Manifold

Alejandro Hernandez,

Armand Vilalta,

Francesc Moreno-Noguer

[pdf]

[bibtex]

@InProceedings{Hernandez_2021_CVPR, author = {Hernandez, Alejandro and Vilalta, Armand and Moreno-Noguer, Francesc}, title = {Neural Cellular Automata Manifold}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10020-10028} }

Few-Shot Transformation of Common Actions Into Time and Space

Pengwan Yang,

Pascal Mettes,

Cees G. M. Snoek

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Pengwan and Mettes, Pascal and Snoek, Cees G. M.}, title = {Few-Shot Transformation of Common Actions Into Time and Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16031-16040} }

MultiLink: Multi-Class Structure Recovery via Agglomerative Clustering and Model Selection

Luca Magri,

Filippo Leveni,

Giacomo Boracchi

[pdf]

[bibtex]

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

Meta Pseudo Labels

Hieu Pham,

Zihang Dai,

Qizhe Xie,

Quoc V. Le

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pham_2021_CVPR, author = {Pham, Hieu and Dai, Zihang and Xie, Qizhe and Le, Quoc V.}, title = {Meta Pseudo Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11557-11568} }

SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction

Liushuai Shi,

Le Wang,

Chengjiang Long,

Sanping Zhou,

Mo Zhou,

Zhenxing Niu,

Gang Hua

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Liushuai and Wang, Le and Long, Chengjiang and Zhou, Sanping and Zhou, Mo and Niu, Zhenxing and Hua, Gang}, title = {SGCN: Sparse Graph Convolution Network for Pedestrian Trajectory Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8994-9003} }

Depth Completion Using Plane-Residual Representation

Byeong-Uk Lee,

Kyunghyun Lee,

In So Kweon

[pdf] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Byeong-Uk and Lee, Kyunghyun and Kweon, In So}, title = {Depth Completion Using Plane-Residual Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13916-13925} }

Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise

Xiangyu Rui,

Xiangyong Cao,

Qi Xie,

Zongsheng Yue,

Qian Zhao,

Deyu Meng

[pdf] [supp]

[bibtex]

@InProceedings{Rui_2021_CVPR, author = {Rui, Xiangyu and Cao, Xiangyong and Xie, Qi and Yue, Zongsheng and Zhao, Qian and Meng, Deyu}, title = {Learning an Explicit Weighting Scheme for Adapting Complex HSI Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6739-6748} }

Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks

Despoina Paschalidou,

Angelos Katharopoulos,

Andreas Geiger,

Sanja Fidler

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Paschalidou_2021_CVPR, author = {Paschalidou, Despoina and Katharopoulos, Angelos and Geiger, Andreas and Fidler, Sanja}, title = {Neural Parts: Learning Expressive 3D Shape Abstractions With Invertible Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3204-3215} }

PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds

Yi Wei,

Ziyi Wang,

Yongming Rao,

Jiwen Lu,

Jie Zhou

[pdf] [supp]

[bibtex]

@InProceedings{Wei_2021_CVPR, author = {Wei, Yi and Wang, Ziyi and Rao, Yongming and Lu, Jiwen and Zhou, Jie}, title = {PV-RAFT: Point-Voxel Correlation Fields for Scene Flow Estimation of Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6954-6963} }

Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features

Zekun Sun,

Yujie Han,

Zeyu Hua,

Na Ruan,

Weijia Jia

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Zekun and Han, Yujie and Hua, Zeyu and Ruan, Na and Jia, Weijia}, title = {Improving the Efficiency and Robustness of Deepfakes Detection Through Precise Geometric Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3609-3618} }

Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches

Song-Hai Zhang,

Yuan-Chen Guo,

Qing-Wen Gu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Song-Hai and Guo, Yuan-Chen and Gu, Qing-Wen}, title = {Sketch2Model: View-Aware 3D Modeling From Single Free-Hand Sketches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6012-6021} }

CASTing Your Model: Learning To Localize Improves Self-Supervised Representations

Ramprasaath R. Selvaraju,

Karan Desai,

Justin Johnson,

Nikhil Naik

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Selvaraju_2021_CVPR, author = {Selvaraju, Ramprasaath R. and Desai, Karan and Johnson, Justin and Naik, Nikhil}, title = {CASTing Your Model: Learning To Localize Improves Self-Supervised Representations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11058-11067} }

Robust Consistent Video Depth Estimation

Johannes Kopf,

Xuejian Rong,

Jia-Bin Huang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kopf_2021_CVPR, author = {Kopf, Johannes and Rong, Xuejian and Huang, Jia-Bin}, title = {Robust Consistent Video Depth Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1611-1621} }

LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents

ByeoungDo Kim,

Seong Hyeon Park,

Seokhwan Lee,

Elbek Khoshimjonov,

Dongsuk Kum,

Junsoo Kim,

Jeong Soo Kim,

Jun Won Choi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, ByeoungDo and Park, Seong Hyeon and Lee, Seokhwan and Khoshimjonov, Elbek and Kum, Dongsuk and Kim, Junsoo and Kim, Jeong Soo and Choi, Jun Won}, title = {LaPred: Lane-Aware Prediction of Multi-Modal Future Trajectories of Dynamic Agents}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14636-14645} }

NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video

Jiaming Sun,

Yiming Xie,

Linghao Chen,

Xiaowei Zhou,

Hujun Bao

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Jiaming and Xie, Yiming and Chen, Linghao and Zhou, Xiaowei and Bao, Hujun}, title = {NeuralRecon: Real-Time Coherent 3D Reconstruction From Monocular Video}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15598-15607} }

Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation

Hang Zhou,

Yasheng Sun,

Wayne Wu,

Chen Change Loy,

Xiaogang Wang,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Hang and Sun, Yasheng and Wu, Wayne and Loy, Chen Change and Wang, Xiaogang and Liu, Ziwei}, title = {Pose-Controllable Talking Face Generation by Implicitly Modularized Audio-Visual Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4176-4186} }

Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion

Ho Kei Cheng,

Yu-Wing Tai,

Chi-Keung Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Ho Kei and Tai, Yu-Wing and Tang, Chi-Keung}, title = {Modular Interactive Video Object Segmentation: Interaction-to-Mask, Propagation and Difference-Aware Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5559-5568} }

A Sliced Wasserstein Loss for Neural Texture Synthesis

Eric Heitz,

Kenneth Vanhoey,

Thomas Chambon,

Laurent Belcour

[pdf] [arXiv]

[bibtex]

@InProceedings{Heitz_2021_CVPR, author = {Heitz, Eric and Vanhoey, Kenneth and Chambon, Thomas and Belcour, Laurent}, title = {A Sliced Wasserstein Loss for Neural Texture Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9412-9420} }

Learning Accurate Dense Correspondences and When To Trust Them

Prune Truong,

Martin Danelljan,

Luc Van Gool,

Radu Timofte

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Truong_2021_CVPR, author = {Truong, Prune and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, title = {Learning Accurate Dense Correspondences and When To Trust Them}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5714-5724} }

Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation

Tao Tu,

Qing Ping,

Govindarajan Thattai,

Gokhan Tur,

Prem Natarajan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tu_2021_CVPR, author = {Tu, Tao and Ping, Qing and Thattai, Govindarajan and Tur, Gokhan and Natarajan, Prem}, title = {Learning Better Visual Dialog Agents With Pretrained Visual-Linguistic Representation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5622-5631} }

Restoring Extremely Dark Images in Real Time

Mohit Lamba,

Kaushik Mitra

[pdf] [supp]

[bibtex]

@InProceedings{Lamba_2021_CVPR, author = {Lamba, Mohit and Mitra, Kaushik}, title = {Restoring Extremely Dark Images in Real Time}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3487-3497} }

Weakly-Supervised Instance Segmentation via Class-Agnostic Learning With Salient Images

Xinggang Wang,

Jiapei Feng,

Bin Hu,

Qi Ding,

Longjin Ran,

Xiaoxin Chen,

Wenyu Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xinggang and Feng, Jiapei and Hu, Bin and Ding, Qi and Ran, Longjin and Chen, Xiaoxin and Liu, Wenyu}, title = {Weakly-Supervised Instance Segmentation via Class-Agnostic Learning With Salient Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10225-10235} }

Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions

Mathew Monfort,

SouYoung Jin,

Alexander Liu,

David Harwath,

Rogerio Feris,

James Glass,

Aude Oliva

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Monfort_2021_CVPR, author = {Monfort, Mathew and Jin, SouYoung and Liu, Alexander and Harwath, David and Feris, Rogerio and Glass, James and Oliva, Aude}, title = {Spoken Moments: Learning Joint Audio-Visual Representations From Video Descriptions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14871-14881} }

Image Restoration for Under-Display Camera

Yuqian Zhou,

David Ren,

Neil Emerton,

Sehoon Lim,

Timothy Large

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Yuqian and Ren, David and Emerton, Neil and Lim, Sehoon and Large, Timothy}, title = {Image Restoration for Under-Display Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9179-9188} }

Unbiased Mean Teacher for Cross-Domain Object Detection

Jinhong Deng,

Wen Li,

Yuhua Chen,

Lixin Duan

[pdf] [arXiv]

[bibtex]

@InProceedings{Deng_2021_CVPR, author = {Deng, Jinhong and Li, Wen and Chen, Yuhua and Duan, Lixin}, title = {Unbiased Mean Teacher for Cross-Domain Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4091-4101} }

How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language

Amanda Duarte,

Shruti Palaskar,

Lucas Ventura,

Deepti Ghadiyaram,

Kenneth DeHaan,

Florian Metze,

Jordi Torres,

Xavier Giro-i-Nieto

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Duarte_2021_CVPR, author = {Duarte, Amanda and Palaskar, Shruti and Ventura, Lucas and Ghadiyaram, Deepti and DeHaan, Kenneth and Metze, Florian and Torres, Jordi and Giro-i-Nieto, Xavier}, title = {How2Sign: A Large-Scale Multimodal Dataset for Continuous American Sign Language}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2735-2744} }

Indoor Lighting Estimation Using an Event Camera

Zehao Chen,

Qian Zheng,

Peisong Niu,

Huajin Tang,

Gang Pan

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zehao and Zheng, Qian and Niu, Peisong and Tang, Huajin and Pan, Gang}, title = {Indoor Lighting Estimation Using an Event Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14760-14770} }

Shot Contrastive Self-Supervised Learning for Scene Boundary Detection

Shixing Chen,

Xiaohan Nie,

David Fan,

Dongqing Zhang,

Vimal Bhat,

Raffay Hamid

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Shixing and Nie, Xiaohan and Fan, David and Zhang, Dongqing and Bhat, Vimal and Hamid, Raffay}, title = {Shot Contrastive Self-Supervised Learning for Scene Boundary Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9796-9805} }

Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark

Joakim Bruslund Haurum,

Thomas B. Moeslund

[pdf] [supp]

[bibtex]

@InProceedings{Haurum_2021_CVPR, author = {Haurum, Joakim Bruslund and Moeslund, Thomas B.}, title = {Sewer-ML: A Multi-Label Sewer Defect Classification Dataset and Benchmark}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13456-13467} }

Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation

Lewei Yao,

Renjie Pi,

Hang Xu,

Wei Zhang,

Zhenguo Li,

Tong Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Yao_2021_CVPR, author = {Yao, Lewei and Pi, Renjie and Xu, Hang and Zhang, Wei and Li, Zhenguo and Zhang, Tong}, title = {Joint-DetNAS: Upgrade Your Detector With NAS, Pruning and Dynamic Distillation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10175-10184} }

Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds

Bowen Cheng,

Lu Sheng,

Shaoshuai Shi,

Ming Yang,

Dong Xu

[pdf] [arXiv]

[bibtex]

@InProceedings{Cheng_2021_CVPR, author = {Cheng, Bowen and Sheng, Lu and Shi, Shaoshuai and Yang, Ming and Xu, Dong}, title = {Back-Tracing Representative Points for Voting-Based 3D Object Detection in Point Clouds}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8963-8972} }

High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network

Jie Liang,

Hui Zeng,

Lei Zhang

[pdf] [supp]

[bibtex]

@InProceedings{Liang_2021_CVPR, author = {Liang, Jie and Zeng, Hui and Zhang, Lei}, title = {High-Resolution Photorealistic Image Translation in Real-Time: A Laplacian Pyramid Translation Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9392-9400} }

End-to-End Video Instance Segmentation With Transformers

Yuqing Wang,

Zhaoliang Xu,

Xinlong Wang,

Chunhua Shen,

Baoshan Cheng,

Hao Shen,

Huaxia Xia

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Yuqing and Xu, Zhaoliang and Wang, Xinlong and Shen, Chunhua and Cheng, Baoshan and Shen, Hao and Xia, Huaxia}, title = {End-to-End Video Instance Segmentation With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8741-8750} }

VoxelContext-Net: An Octree Based Framework for Point Cloud Compression

Zizheng Que,

Guo Lu,

Dong Xu

[pdf]

[bibtex]

@InProceedings{Que_2021_CVPR, author = {Que, Zizheng and Lu, Guo and Xu, Dong}, title = {VoxelContext-Net: An Octree Based Framework for Point Cloud Compression}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6042-6051} }

A Second-Order Approach to Learning With Instance-Dependent Label Noise

Zhaowei Zhu,

Tongliang Liu,

Yang Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Zhaowei and Liu, Tongliang and Liu, Yang}, title = {A Second-Order Approach to Learning With Instance-Dependent Label Noise}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10113-10123} }

SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration

Sheng Ao,

Qingyong Hu,

Bo Yang,

Andrew Markham,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ao_2021_CVPR, author = {Ao, Sheng and Hu, Qingyong and Yang, Bo and Markham, Andrew and Guo, Yulan}, title = {SpinNet: Learning a General Surface Descriptor for 3D Point Cloud Registration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11753-11762} }

FSDR: Frequency Space Domain Randomization for Domain Generalization

Jiaxing Huang,

Dayan Guan,

Aoran Xiao,

Shijian Lu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Jiaxing and Guan, Dayan and Xiao, Aoran and Lu, Shijian}, title = {FSDR: Frequency Space Domain Randomization for Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6891-6902} }

DualAST: Dual Style-Learning Networks for Artistic Style Transfer

Haibo Chen,

Lei Zhao,

Zhizhong Wang,

Huiming Zhang,

Zhiwen Zuo,

Ailin Li,

Wei Xing,

Dongming Lu

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Haibo and Zhao, Lei and Wang, Zhizhong and Zhang, Huiming and Zuo, Zhiwen and Li, Ailin and Xing, Wei and Lu, Dongming}, title = {DualAST: Dual Style-Learning Networks for Artistic Style Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {872-881} }

Learning a Proposal Classifier for Multiple Object Tracking

Peng Dai,

Renliang Weng,

Wongun Choi,

Changshui Zhang,

Zhangping He,

Wei Ding

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Peng and Weng, Renliang and Choi, Wongun and Zhang, Changshui and He, Zhangping and Ding, Wei}, title = {Learning a Proposal Classifier for Multiple Object Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2443-2452} }

Multi-Attentional Deepfake Detection

Hanqing Zhao,

Wenbo Zhou,

Dongdong Chen,

Tianyi Wei,

Weiming Zhang,

Nenghai Yu

[pdf] [arXiv]

[bibtex]

@InProceedings{Zhao_2021_CVPR, author = {Zhao, Hanqing and Zhou, Wenbo and Chen, Dongdong and Wei, Tianyi and Zhang, Weiming and Yu, Nenghai}, title = {Multi-Attentional Deepfake Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2185-2194} }

SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection

Remi Pautrat,

Juan-Ting Lin,

Viktor Larsson,

Martin R. Oswald,

Marc Pollefeys

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Pautrat_2021_CVPR, author = {Pautrat, Remi and Lin, Juan-Ting and Larsson, Viktor and Oswald, Martin R. and Pollefeys, Marc}, title = {SOLD2: Self-Supervised Occlusion-Aware Line Description and Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11368-11378} }

Shared Cross-Modal Trajectory Prediction for Autonomous Driving

Chiho Choi,

Joon Hee Choi,

Jiachen Li,

Srikanth Malla

[pdf] [supp]

[bibtex]

@InProceedings{Choi_2021_CVPR, author = {Choi, Chiho and Choi, Joon Hee and Li, Jiachen and Malla, Srikanth}, title = {Shared Cross-Modal Trajectory Prediction for Autonomous Driving}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {244-253} }

Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding

Xin Wen,

Zhizhong Han,

Yan-Pei Cao,

Pengfei Wan,

Wen Zheng,

Yu-Shen Liu

[pdf] [arXiv]

[bibtex]

@InProceedings{Wen_2021_CVPR, author = {Wen, Xin and Han, Zhizhong and Cao, Yan-Pei and Wan, Pengfei and Zheng, Wen and Liu, Yu-Shen}, title = {Cycle4Completion: Unpaired Point Cloud Completion Using Cycle Transformation With Missing Region Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13080-13089} }

CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation

Tao Lu,

Limin Wang,

Gangshan Wu

[pdf]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Tao and Wang, Limin and Wu, Gangshan}, title = {CGA-Net: Category Guided Aggregation for Point Cloud Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11693-11702} }

PLOP: Learning Without Forgetting for Continual Semantic Segmentation

Arthur Douillard,

Yifu Chen,

Arnaud Dapogny,

Matthieu Cord

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Douillard_2021_CVPR, author = {Douillard, Arthur and Chen, Yifu and Dapogny, Arnaud and Cord, Matthieu}, title = {PLOP: Learning Without Forgetting for Continual Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4040-4050} }

Magic Layouts: Structural Prior for Component Detection in User Interface Designs

Dipu Manandhar,

Hailin Jin,

John Collomosse

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Manandhar_2021_CVPR, author = {Manandhar, Dipu and Jin, Hailin and Collomosse, John}, title = {Magic Layouts: Structural Prior for Component Detection in User Interface Designs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15809-15818} }

MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation

Guoqiang Wei,

Cuiling Lan,

Wenjun Zeng,

Zhibo Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wei_2021_CVPR, author = {Wei, Guoqiang and Lan, Cuiling and Zeng, Wenjun and Chen, Zhibo}, title = {MetaAlign: Coordinating Domain Alignment and Classification for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16643-16653} }

Neural Prototype Trees for Interpretable Fine-Grained Image Recognition

Meike Nauta,

Ron van Bree,

Christin Seifert

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nauta_2021_CVPR, author = {Nauta, Meike and van Bree, Ron and Seifert, Christin}, title = {Neural Prototype Trees for Interpretable Fine-Grained Image Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14933-14943} }

Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning

Liu Bo,

Qiulei Dong,

Zhanyi Hu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bo_2021_CVPR, author = {Bo, Liu and Dong, Qiulei and Hu, Zhanyi}, title = {Hardness Sampling for Self-Training Based Transductive Zero-Shot Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16499-16508} }

Hilbert Sinkhorn Divergence for Optimal Transport

Qian Li,

Zhichao Wang,

Gang Li,

Jun Pang,

Guandong Xu

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Qian and Wang, Zhichao and Li, Gang and Pang, Jun and Xu, Guandong}, title = {Hilbert Sinkhorn Divergence for Optimal Transport}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3835-3844} }

The Multi-Temporal Urban Development SpaceNet Dataset

Adam Van Etten,

Daniel Hogan,

Jesus Martinez Manso,

Jacob Shermeyer,

Nicholas Weir,

Ryan Lewis

[pdf]

[bibtex]

@InProceedings{Van_Etten_2021_CVPR, author = {Van Etten, Adam and Hogan, Daniel and Manso, Jesus Martinez and Shermeyer, Jacob and Weir, Nicholas and Lewis, Ryan}, title = {The Multi-Temporal Urban Development SpaceNet Dataset}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6398-6407} }

FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining

Xiaoliang Dai,

Alvin Wan,

Peizhao Zhang,

Bichen Wu,

Zijian He,

Zhen Wei,

Kan Chen,

Yuandong Tian,

Matthew Yu,

Peter Vajda,

Joseph E. Gonzalez

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Xiaoliang and Wan, Alvin and Zhang, Peizhao and Wu, Bichen and He, Zijian and Wei, Zhen and Chen, Kan and Tian, Yuandong and Yu, Matthew and Vajda, Peter and Gonzalez, Joseph E.}, title = {FBNetV3: Joint Architecture-Recipe Search Using Predictor Pretraining}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16276-16285} }

Intrinsic Image Harmonization

Zonghui Guo,

Haiyong Zheng,

Yufeng Jiang,

Zhaorui Gu,

Bing Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Zonghui and Zheng, Haiyong and Jiang, Yufeng and Gu, Zhaorui and Zheng, Bing}, title = {Intrinsic Image Harmonization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16367-16376} }

L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing

Guoxing Yang,

Nanyi Fei,

Mingyu Ding,

Guangzhen Liu,

Zhiwu Lu,

Tao Xiang

[pdf] [supp]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Guoxing and Fei, Nanyi and Ding, Mingyu and Liu, Guangzhen and Lu, Zhiwu and Xiang, Tao}, title = {L2M-GAN: Learning To Manipulate Latent Space Semantics for Facial Attribute Editing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2951-2960} }

IIRC: Incremental Implicitly-Refined Classification

Mohamed Abdelsalam,

Mojtaba Faramarzi,

Shagun Sodhani,

Sarath Chandar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Abdelsalam_2021_CVPR, author = {Abdelsalam, Mohamed and Faramarzi, Mojtaba and Sodhani, Shagun and Chandar, Sarath}, title = {IIRC: Incremental Implicitly-Refined Classification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11038-11047} }

Learning To Fuse Asymmetric Feature Maps in Siamese Trackers

Wencheng Han,

Xingping Dong,

Fahad Shahbaz Khan,

Ling Shao,

Jianbing Shen

[pdf] [arXiv]

[bibtex]

@InProceedings{Han_2021_CVPR, author = {Han, Wencheng and Dong, Xingping and Khan, Fahad Shahbaz and Shao, Ling and Shen, Jianbing}, title = {Learning To Fuse Asymmetric Feature Maps in Siamese Trackers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16570-16580} }

Generalizing to the Open World: Deep Visual Odometry With Online Adaptation

Shunkai Li,

Xin Wu,

Yingdian Cao,

Hongbin Zha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Shunkai and Wu, Xin and Cao, Yingdian and Zha, Hongbin}, title = {Generalizing to the Open World: Deep Visual Odometry With Online Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13184-13193} }

PQA: Perceptual Question Answering

Yonggang Qi,

Kai Zhang,

Aneeshan Sain,

Yi-Zhe Song

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Qi_2021_CVPR, author = {Qi, Yonggang and Zhang, Kai and Sain, Aneeshan and Song, Yi-Zhe}, title = {PQA: Perceptual Question Answering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12056-12064} }

Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink

Ranjie Duan,

Xiaofeng Mao,

A. K. Qin,

Yuefeng Chen,

Shaokai Ye,

Yuan He,

Yun Yang

[pdf] [arXiv]

[bibtex]

@InProceedings{Duan_2021_CVPR, author = {Duan, Ranjie and Mao, Xiaofeng and Qin, A. K. and Chen, Yuefeng and Ye, Shaokai and He, Yuan and Yang, Yun}, title = {Adversarial Laser Beam: Effective Physical-World Attack to DNNs in a Blink}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16062-16071} }

Robust Point Cloud Registration Framework Based on Deep Graph Matching

Kexue Fu,

Shaolei Liu,

Xiaoyuan Luo,

Manning Wang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Kexue and Liu, Shaolei and Luo, Xiaoyuan and Wang, Manning}, title = {Robust Point Cloud Registration Framework Based on Deep Graph Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8893-8902} }

Dense Contrastive Learning for Self-Supervised Visual Pre-Training

Xinlong Wang,

Rufeng Zhang,

Chunhua Shen,

Tao Kong,

Lei Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xinlong and Zhang, Rufeng and Shen, Chunhua and Kong, Tao and Li, Lei}, title = {Dense Contrastive Learning for Self-Supervised Visual Pre-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3024-3033} }

Birds of a Feather: Capturing Avian Shape Models From Images

Yufu Wang,

Nikos Kolotouros,

Kostas Daniilidis,

Marc Badger

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Yufu and Kolotouros, Nikos and Daniilidis, Kostas and Badger, Marc}, title = {Birds of a Feather: Capturing Avian Shape Models From Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14739-14749} }

Learning Temporal Consistency for Low Light Video Enhancement From Single Images

Fan Zhang,

Yu Li,

Shaodi You,

Ying Fu

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Fan and Li, Yu and You, Shaodi and Fu, Ying}, title = {Learning Temporal Consistency for Low Light Video Enhancement From Single Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4967-4976} }

Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net

Yawen Huang,

Feng Zheng,

Danyang Wang,

Weilin Huang,

Matthew R. Scott,

Ling Shao

[pdf]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Yawen and Zheng, Feng and Wang, Danyang and Huang, Weilin and Scott, Matthew R. and Shao, Ling}, title = {Brain Image Synthesis With Unsupervised Multivariate Canonical CSCl4Net}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5881-5890} }

Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control

Jingfan Guo,

Jie Li,

Rahul Narain,

Hyun Soo Park

[pdf]

[bibtex]

@InProceedings{Guo_2021_CVPR, author = {Guo, Jingfan and Li, Jie and Narain, Rahul and Park, Hyun Soo}, title = {Inverse Simulation: Reconstructing Dynamic Geometry of Clothed Humans via Optimal Control}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14698-14707} }

Rotation Equivariant Siamese Networks for Tracking

Deepak K. Gupta,

Devanshu Arya,

Efstratios Gavves

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gupta_2021_CVPR, author = {Gupta, Deepak K. and Arya, Devanshu and Gavves, Efstratios}, title = {Rotation Equivariant Siamese Networks for Tracking}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12362-12371} }

Learning Decision Trees Recurrently Through Communication

Stephan Alaniz,

Diego Marcos,

Bernt Schiele,

Zeynep Akata

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Alaniz_2021_CVPR, author = {Alaniz, Stephan and Marcos, Diego and Schiele, Bernt and Akata, Zeynep}, title = {Learning Decision Trees Recurrently Through Communication}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13518-13527} }

PatchmatchNet: Learned Multi-View Patchmatch Stereo

Fangjinhua Wang,

Silvano Galliani,

Christoph Vogel,

Pablo Speciale,

Marc Pollefeys

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Fangjinhua and Galliani, Silvano and Vogel, Christoph and Speciale, Pablo and Pollefeys, Marc}, title = {PatchmatchNet: Learned Multi-View Patchmatch Stereo}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14194-14203} }

Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation

Astuti Sharma,

Tarun Kalluri,

Manmohan Chandraker

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Sharma_2021_CVPR, author = {Sharma, Astuti and Kalluri, Tarun and Chandraker, Manmohan}, title = {Instance Level Affinity-Based Transfer for Unsupervised Domain Adaptation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5361-5371} }

COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction

Yijie Lin,

Yuanbiao Gou,

Zitao Liu,

Boyun Li,

Jiancheng Lv,

Xi Peng

[pdf] [supp]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Yijie and Gou, Yuanbiao and Liu, Zitao and Li, Boyun and Lv, Jiancheng and Peng, Xi}, title = {COMPLETER: Incomplete Multi-View Clustering via Contrastive Prediction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11174-11183} }

Image-to-Image Translation via Hierarchical Style Disentanglement

Xinyang Li,

Shengchuan Zhang,

Jie Hu,

Liujuan Cao,

Xiaopeng Hong,

Xudong Mao,

Feiyue Huang,

Yongjian Wu,

Rongrong Ji

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Xinyang and Zhang, Shengchuan and Hu, Jie and Cao, Liujuan and Hong, Xiaopeng and Mao, Xudong and Huang, Feiyue and Wu, Yongjian and Ji, Rongrong}, title = {Image-to-Image Translation via Hierarchical Style Disentanglement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8639-8648} }

What Can Style Transfer and Paintings Do for Model Robustness?

Hubert Lin,

Mitchell van Zuijlen,

Sylvia C. Pont,

Maarten W.A. Wijntjes,

Kavita Bala

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Hubert and van Zuijlen, Mitchell and Pont, Sylvia C. and Wijntjes, Maarten W.A. and Bala, Kavita}, title = {What Can Style Transfer and Paintings Do for Model Robustness?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11028-11037} }

Taming Transformers for High-Resolution Image Synthesis

Patrick Esser,

Robin Rombach,

Bjorn Ommer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Esser_2021_CVPR, author = {Esser, Patrick and Rombach, Robin and Ommer, Bjorn}, title = {Taming Transformers for High-Resolution Image Synthesis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12873-12883} }

Learning the Predictability of the Future

Didac Suris,

Ruoshi Liu,

Carl Vondrick

[pdf] [arXiv]

[bibtex]

@InProceedings{Suris_2021_CVPR, author = {Suris, Didac and Liu, Ruoshi and Vondrick, Carl}, title = {Learning the Predictability of the Future}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12607-12617} }

Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles

Jevgenij Gamper,

Nasir Rajpoot

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gamper_2021_CVPR, author = {Gamper, Jevgenij and Rajpoot, Nasir}, title = {Multiple Instance Captioning: Learning Representations From Histopathology Textbooks and Articles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16549-16559} }

Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection

Bohao Li,

Boyu Yang,

Chang Liu,

Feng Liu,

Rongrong Ji,

Qixiang Ye

[pdf]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Bohao and Yang, Boyu and Liu, Chang and Liu, Feng and Ji, Rongrong and Ye, Qixiang}, title = {Beyond Max-Margin: Class Margin Equilibrium for Few-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7363-7372} }

Consistent Instance False Positive Improves Fairness in Face Recognition

Xingkun Xu,

Yuge Huang,

Pengcheng Shen,

Shaoxin Li,

Jilin Li,

Feiyue Huang,

Yong Li,

Zhen Cui

[pdf] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Xingkun and Huang, Yuge and Shen, Pengcheng and Li, Shaoxin and Li, Jilin and Huang, Feiyue and Li, Yong and Cui, Zhen}, title = {Consistent Instance False Positive Improves Fairness in Face Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {578-586} }

Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation

Hyojin Park,

Jayeon Yoo,

Seohyeong Jeong,

Ganesh Venkatesh,

Nojun Kwak

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Park_2021_CVPR, author = {Park, Hyojin and Yoo, Jayeon and Jeong, Seohyeong and Venkatesh, Ganesh and Kwak, Nojun}, title = {Learning Dynamic Network Using a Reuse Gate Function in Semi-Supervised Video Object Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8405-8414} }

RaScaNet: Learning Tiny Models by Raster-Scanning Images

Jaehyoung Yoo,

Dongwook Lee,

Changyong Son,

Sangil Jung,

ByungIn Yoo,

Changkyu Choi,

Jae-Joon Han,

Bohyung Han

[pdf] [supp]

[bibtex]

@InProceedings{Yoo_2021_CVPR, author = {Yoo, Jaehyoung and Lee, Dongwook and Son, Changyong and Jung, Sangil and Yoo, ByungIn and Choi, Changkyu and Han, Jae-Joon and Han, Bohyung}, title = {RaScaNet: Learning Tiny Models by Raster-Scanning Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13673-13682} }

AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning

Madeleine Grunde-McLaughlin,

Ranjay Krishna,

Maneesh Agrawala

[pdf] [supp]

[bibtex]

@InProceedings{Grunde-McLaughlin_2021_CVPR, author = {Grunde-McLaughlin, Madeleine and Krishna, Ranjay and Agrawala, Maneesh}, title = {AGQA: A Benchmark for Compositional Spatio-Temporal Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11287-11297} }

Exploring intermediate representation for monocular vehicle pose estimation

Shichao Li,

Zengqiang Yan,

Hongyang Li,

Kwang-Ting Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Shichao and Yan, Zengqiang and Li, Hongyang and Cheng, Kwang-Ting}, title = {Exploring intermediate representation for monocular vehicle pose estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1873-1883} }

Shallow Feature Matters for Weakly Supervised Object Localization

Jun Wei,

Qin Wang,

Zhen Li,

Sheng Wang,

S. Kevin Zhou,

Shuguang Cui

[pdf]

[bibtex]

@InProceedings{Wei_2021_CVPR, author = {Wei, Jun and Wang, Qin and Li, Zhen and Wang, Sheng and Zhou, S. Kevin and Cui, Shuguang}, title = {Shallow Feature Matters for Weakly Supervised Object Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5993-6001} }

Capturing Omni-Range Context for Omnidirectional Segmentation

Kailun Yang,

Jiaming Zhang,

Simon Reiss,

Xinxin Hu,

Rainer Stiefelhagen

[pdf] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Kailun and Zhang, Jiaming and Reiss, Simon and Hu, Xinxin and Stiefelhagen, Rainer}, title = {Capturing Omni-Range Context for Omnidirectional Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1376-1386} }

PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss

Juan Luis Gonzalez,

Munchurl Kim

[pdf] [supp]

[bibtex]

@InProceedings{Gonzalez_2021_CVPR, author = {Gonzalez, Juan Luis and Kim, Munchurl}, title = {PLADE-Net: Towards Pixel-Level Accuracy for Self-Supervised Single-View Depth Estimation With Neural Positional Encoding and Distilled Matting Loss}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6851-6860} }

Reciprocal Landmark Detection and Tracking With Extremely Few Annotations

Jianzhe Lin,

Ghazal Sahebzamani,

Christina Luong,

Fatemeh Taheri Dezaki,

Mohammad Jafari,

Purang Abolmaesumi,

Teresa Tsang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lin_2021_CVPR, author = {Lin, Jianzhe and Sahebzamani, Ghazal and Luong, Christina and Dezaki, Fatemeh Taheri and Jafari, Mohammad and Abolmaesumi, Purang and Tsang, Teresa}, title = {Reciprocal Landmark Detection and Tracking With Extremely Few Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15170-15179} }

Practical Single-Image Super-Resolution Using Look-Up Table

Younghyun Jo,

Seon Joo Kim

[pdf] [supp]

[bibtex]

@InProceedings{Jo_2021_CVPR, author = {Jo, Younghyun and Kim, Seon Joo}, title = {Practical Single-Image Super-Resolution Using Look-Up Table}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {691-700} }

Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning

Jinpeng Wang,

Yuting Gao,

Ke Li,

Yiqi Lin,

Andy J. Ma,

Hao Cheng,

Pai Peng,

Feiyue Huang,

Rongrong Ji,

Xing Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jinpeng and Gao, Yuting and Li, Ke and Lin, Yiqi and Ma, Andy J. and Cheng, Hao and Peng, Pai and Huang, Feiyue and Ji, Rongrong and Sun, Xing}, title = {Removing the Background by Adding the Background: Towards Background Robust Self-Supervised Video Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11804-11813} }

GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation

Gu Wang,

Fabian Manhardt,

Federico Tombari,

Xiangyang Ji

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Gu and Manhardt, Fabian and Tombari, Federico and Ji, Xiangyang}, title = {GDR-Net: Geometry-Guided Direct Regression Network for Monocular 6D Object Pose Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16611-16621} }

Point Cloud Upsampling via Disentangled Refinement

Ruihui Li,

Xianzhi Li,

Pheng-Ann Heng,

Chi-Wing Fu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Ruihui and Li, Xianzhi and Heng, Pheng-Ann and Fu, Chi-Wing}, title = {Point Cloud Upsampling via Disentangled Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {344-353} }

Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion

Cheng Chi,

Qingjie Wang,

Tianyu Hao,

Peng Guo,

Xin Yang

[pdf]

[bibtex]

@InProceedings{Chi_2021_CVPR, author = {Chi, Cheng and Wang, Qingjie and Hao, Tianyu and Guo, Peng and Yang, Xin}, title = {Feature-Level Collaboration: Joint Unsupervised Learning of Optical Flow, Stereo Depth and Camera Motion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2463-2473} }

A Generalized Loss Function for Crowd Counting and Localization

Jia Wan,

Ziquan Liu,

Antoni B. Chan

[pdf] [supp]

[bibtex]

@InProceedings{Wan_2021_CVPR, author = {Wan, Jia and Liu, Ziquan and Chan, Antoni B.}, title = {A Generalized Loss Function for Crowd Counting and Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1974-1983} }

Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels

Xiaogang Wang,

Xun Sun,

Xinyu Cao,

Kai Xu,

Bin Zhou

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Xiaogang and Sun, Xun and Cao, Xinyu and Xu, Kai and Zhou, Bin}, title = {Learning Fine-Grained Segmentation of 3D Shapes Without Part Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10276-10285} }

Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification

Peixian Hong,

Tao Wu,

Ancong Wu,

Xintong Han,

Wei-Shi Zheng

[pdf] [supp]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Peixian and Wu, Tao and Wu, Ancong and Han, Xintong and Zheng, Wei-Shi}, title = {Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10513-10522} }

DeepSurfels: Learning Online Appearance Fusion

Marko Mihajlovic,

Silvan Weder,

Marc Pollefeys,

Martin R. Oswald

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mihajlovic_2021_CVPR, author = {Mihajlovic, Marko and Weder, Silvan and Pollefeys, Marc and Oswald, Martin R.}, title = {DeepSurfels: Learning Online Appearance Fusion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14524-14535} }

Joint Negative and Positive Learning for Noisy Labels

Youngdong Kim,

Juseung Yun,

Hyounguk Shon,

Junmo Kim

[pdf] [arXiv]

[bibtex]

@InProceedings{Kim_2021_CVPR, author = {Kim, Youngdong and Yun, Juseung and Shon, Hyounguk and Kim, Junmo}, title = {Joint Negative and Positive Learning for Noisy Labels}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9442-9451} }

Generalizing Face Forgery Detection With High-Frequency Features

Yuchen Luo,

Yong Zhang,

Junchi Yan,

Wei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Luo_2021_CVPR, author = {Luo, Yuchen and Zhang, Yong and Yan, Junchi and Liu, Wei}, title = {Generalizing Face Forgery Detection With High-Frequency Features}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16317-16326} }

The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures

Yawei Li,

Wen Li,

Martin Danelljan,

Kai Zhang,

Shuhang Gu,

Luc Van Gool,

Radu Timofte

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Yawei and Li, Wen and Danelljan, Martin and Zhang, Kai and Gu, Shuhang and Van Gool, Luc and Timofte, Radu}, title = {The Heterogeneity Hypothesis: Finding Layer-Wise Differentiated Network Architectures}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2144-2153} }

Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments

Siyan Dong,

Qingnan Fan,

He Wang,

Ji Shi,

Li Yi,

Thomas Funkhouser,

Baoquan Chen,

Leonidas J. Guibas

[pdf] [arXiv]

[bibtex]

@InProceedings{Dong_2021_CVPR, author = {Dong, Siyan and Fan, Qingnan and Wang, He and Shi, Ji and Yi, Li and Funkhouser, Thomas and Chen, Baoquan and Guibas, Leonidas J.}, title = {Robust Neural Routing Through Space Partitions for Camera Relocalization in Dynamic Indoor Environments}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8544-8554} }

Facial Action Unit Detection With Transformers

Geethu Miriam Jacob,

Bjorn Stenger

[pdf]

[bibtex]

@InProceedings{Jacob_2021_CVPR, author = {Jacob, Geethu Miriam and Stenger, Bjorn}, title = {Facial Action Unit Detection With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7680-7689} }

Exploiting Aliasing for Manga Restoration

Minshan Xie,

Menghan Xia,

Tien-Tsin Wong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xie_2021_CVPR, author = {Xie, Minshan and Xia, Menghan and Wong, Tien-Tsin}, title = {Exploiting Aliasing for Manga Restoration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13405-13414} }

Discovering Hidden Physics Behind Transport Dynamics

Peirong Liu,

Lin Tian,

Yubo Zhang,

Stephen Aylward,

Yueh Lee,

Marc Niethammer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Peirong and Tian, Lin and Zhang, Yubo and Aylward, Stephen and Lee, Yueh and Niethammer, Marc}, title = {Discovering Hidden Physics Behind Transport Dynamics}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10082-10092} }

Cross-View Gait Recognition With Deep Universal Linear Embeddings

Shaoxiong Zhang,

Yunhong Wang,

Annan Li

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Shaoxiong and Wang, Yunhong and Li, Annan}, title = {Cross-View Gait Recognition With Deep Universal Linear Embeddings}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9095-9104} }

Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB

Bo Sun,

Junchi Yan,

Xiao Zhou,

Yinqiang Zheng

[pdf] [arXiv]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Bo and Yan, Junchi and Zhou, Xiao and Zheng, Yinqiang}, title = {Tuning IR-Cut Filter for Illumination-Aware Spectral Reconstruction From RGB}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {84-93} }

Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning

Shichao Kan,

Yigang Cen,

Yang Li,

Vladimir Mladenovic,

Zhihai He

[pdf] [supp]

[bibtex]

@InProceedings{Kan_2021_CVPR, author = {Kan, Shichao and Cen, Yigang and Li, Yang and Mladenovic, Vladimir and He, Zhihai}, title = {Relative Order Analysis and Optimization for Unsupervised Deep Metric Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13999-14008} }

Anchor-Free Person Search

Yichao Yan,

Jinpeng Li,

Jie Qin,

Song Bai,

Shengcai Liao,

Li Liu,

Fan Zhu,

Ling Shao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yan_2021_CVPR, author = {Yan, Yichao and Li, Jinpeng and Qin, Jie and Bai, Song and Liao, Shengcai and Liu, Li and Zhu, Fan and Shao, Ling}, title = {Anchor-Free Person Search}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7690-7699} }

Are Labels Always Necessary for Classifier Accuracy Evaluation?

Weijian Deng,

Liang Zheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Deng_2021_CVPR, author = {Deng, Weijian and Zheng, Liang}, title = {Are Labels Always Necessary for Classifier Accuracy Evaluation?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15069-15078} }

Self-Supervised Motion Learning From Static Images

Ziyuan Huang,

Shiwei Zhang,

Jianwen Jiang,

Mingqian Tang,

Rong Jin,

Marcelo H. Ang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Ziyuan and Zhang, Shiwei and Jiang, Jianwen and Tang, Mingqian and Jin, Rong and Ang, Marcelo H.}, title = {Self-Supervised Motion Learning From Static Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1276-1285} }

AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling

Dilin Wang,

Meng Li,

Chengyue Gong,

Vikas Chandra

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Dilin and Li, Meng and Gong, Chengyue and Chandra, Vikas}, title = {AttentiveNAS: Improving Neural Architecture Search via Attentive Sampling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6418-6427} }

StablePose: Learning 6D Object Poses From Geometrically Stable Patches

Yifei Shi,

Junwen Huang,

Xin Xu,

Yifan Zhang,

Kai Xu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Shi_2021_CVPR, author = {Shi, Yifei and Huang, Junwen and Xu, Xin and Zhang, Yifan and Xu, Kai}, title = {StablePose: Learning 6D Object Poses From Geometrically Stable Patches}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15222-15231} }

Towards Evaluating and Training Verifiably Robust Neural Networks

Zhaoyang Lyu,

Minghao Guo,

Tong Wu,

Guodong Xu,

Kehuan Zhang,

Dahua Lin

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lyu_2021_CVPR, author = {Lyu, Zhaoyang and Guo, Minghao and Wu, Tong and Xu, Guodong and Zhang, Kehuan and Lin, Dahua}, title = {Towards Evaluating and Training Verifiably Robust Neural Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4308-4317} }

Interpolation-Based Semi-Supervised Learning for Object Detection

Jisoo Jeong,

Vikas Verma,

Minsung Hyun,

Juho Kannala,

Nojun Kwak

[pdf] [arXiv]

[bibtex]

@InProceedings{Jeong_2021_CVPR, author = {Jeong, Jisoo and Verma, Vikas and Hyun, Minsung and Kannala, Juho and Kwak, Nojun}, title = {Interpolation-Based Semi-Supervised Learning for Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11602-11611} }

Teachers Do More Than Teach: Compressing Image-to-Image Models

Qing Jin,

Jian Ren,

Oliver J. Woodford,

Jiazhuo Wang,

Geng Yuan,

Yanzhi Wang,

Sergey Tulyakov

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jin_2021_CVPR, author = {Jin, Qing and Ren, Jian and Woodford, Oliver J. and Wang, Jiazhuo and Yuan, Geng and Wang, Yanzhi and Tulyakov, Sergey}, title = {Teachers Do More Than Teach: Compressing Image-to-Image Models}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13600-13611} }

Seeing in Extra Darkness Using a Deep-Red Flash

Jinhui Xiong,

Jian Wang,

Wolfgang Heidrich,

Shree Nayar

[pdf] [supp]

[bibtex]

@InProceedings{Xiong_2021_CVPR, author = {Xiong, Jinhui and Wang, Jian and Heidrich, Wolfgang and Nayar, Shree}, title = {Seeing in Extra Darkness Using a Deep-Red Flash}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10000-10009} }

PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors

Zeyuan Chen,

Yangchao Wang,

Yang Yang,

Dong Liu

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Zeyuan and Wang, Yangchao and Yang, Yang and Liu, Dong}, title = {PSD: Principled Synthetic-to-Real Dehazing Guided by Physical Priors}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7180-7189} }

3D Spatial Recognition Without Spatially Labeled 3D

Zhongzheng Ren,

Ishan Misra,

Alexander G. Schwing,

Rohit Girdhar

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ren_2021_CVPR, author = {Ren, Zhongzheng and Misra, Ishan and Schwing, Alexander G. and Girdhar, Rohit}, title = {3D Spatial Recognition Without Spatially Labeled 3D}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13204-13213} }

Robust Reference-Based Super-Resolution via C2-Matching

Yuming Jiang,

Kelvin C.K. Chan,

Xintao Wang,

Chen Change Loy,

Ziwei Liu

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Jiang_2021_CVPR, author = {Jiang, Yuming and Chan, Kelvin C.K. and Wang, Xintao and Loy, Chen Change and Liu, Ziwei}, title = {Robust Reference-Based Super-Resolution via C2-Matching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2103-2112} }

Temporal-Relational CrossTransformers for Few-Shot Action Recognition

Toby Perrett,

Alessandro Masullo,

Tilo Burghardt,

Majid Mirmehdi,

Dima Damen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Perrett_2021_CVPR, author = {Perrett, Toby and Masullo, Alessandro and Burghardt, Tilo and Mirmehdi, Majid and Damen, Dima}, title = {Temporal-Relational CrossTransformers for Few-Shot Action Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {475-484} }

Understanding Failures of Deep Networks via Robust Feature Extraction

Sahil Singla,

Besmira Nushi,

Shital Shah,

Ece Kamar,

Eric Horvitz

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Singla_2021_CVPR, author = {Singla, Sahil and Nushi, Besmira and Shah, Shital and Kamar, Ece and Horvitz, Eric}, title = {Understanding Failures of Deep Networks via Robust Feature Extraction}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12853-12862} }

Relation-aware Instance Refinement for Weakly Supervised Visual Grounding

Yongfei Liu,

Bo Wan,

Lin Ma,

Xuming He

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Yongfei and Wan, Bo and Ma, Lin and He, Xuming}, title = {Relation-aware Instance Refinement for Weakly Supervised Visual Grounding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5612-5621} }

Spatially-Invariant Style-Codes Controlled Makeup Transfer

Han Deng,

Chu Han,

Hongmin Cai,

Guoqiang Han,

Shengfeng He

[pdf] [supp]

[bibtex]

@InProceedings{Deng_2021_CVPR, author = {Deng, Han and Han, Chu and Cai, Hongmin and Han, Guoqiang and He, Shengfeng}, title = {Spatially-Invariant Style-Codes Controlled Makeup Transfer}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6549-6557} }

Adaptive Image Transformer for One-Shot Object Detection

Ding-Jie Chen,

He-Yen Hsieh,

Tyng-Luh Liu

[pdf]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Ding-Jie and Hsieh, He-Yen and Liu, Tyng-Luh}, title = {Adaptive Image Transformer for One-Shot Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12247-12256} }

Bilateral Grid Learning for Stereo Matching Networks

Bin Xu,

Yuhua Xu,

Xiaoli Yang,

Wei Jia,

Yulan Guo

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Bin and Xu, Yuhua and Yang, Xiaoli and Jia, Wei and Guo, Yulan}, title = {Bilateral Grid Learning for Stereo Matching Networks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12497-12506} }

A Multi-Task Network for Joint Specular Highlight Detection and Removal

Gang Fu,

Qing Zhang,

Lei Zhu,

Ping Li,

Chunxia Xiao

[pdf]

[bibtex]

@InProceedings{Fu_2021_CVPR, author = {Fu, Gang and Zhang, Qing and Zhu, Lei and Li, Ping and Xiao, Chunxia}, title = {A Multi-Task Network for Joint Specular Highlight Detection and Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7752-7761} }

A Deep Emulator for Secondary Motion of 3D Characters

Mianlun Zheng,

Yi Zhou,

Duygu Ceylan,

Jernej Barbic

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Mianlun and Zhou, Yi and Ceylan, Duygu and Barbic, Jernej}, title = {A Deep Emulator for Secondary Motion of 3D Characters}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5932-5940} }

Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning

Jingyu Gong,

Jiachen Xu,

Xin Tan,

Haichuan Song,

Yanyun Qu,

Yuan Xie,

Lizhuang Ma

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gong_2021_CVPR, author = {Gong, Jingyu and Xu, Jiachen and Tan, Xin and Song, Haichuan and Qu, Yanyun and Xie, Yuan and Ma, Lizhuang}, title = {Omni-Supervised Point Cloud Segmentation via Gradual Receptive Field Component Reasoning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11673-11682} }

All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training

Islam Nassar,

Samitha Herath,

Ehsan Abbasnejad,

Wray Buntine,

Gholamreza Haffari

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Nassar_2021_CVPR, author = {Nassar, Islam and Herath, Samitha and Abbasnejad, Ehsan and Buntine, Wray and Haffari, Gholamreza}, title = {All Labels Are Not Created Equal: Enhancing Semi-Supervision via Label Grouping and Co-Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7241-7250} }

PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths

Xin Wen,

Peng Xiang,

Zhizhong Han,

Yan-Pei Cao,

Pengfei Wan,

Wen Zheng,

Yu-Shen Liu

[pdf] [supp]

[bibtex]

@InProceedings{Wen_2021_CVPR, author = {Wen, Xin and Xiang, Peng and Han, Zhizhong and Cao, Yan-Pei and Wan, Pengfei and Zheng, Wen and Liu, Yu-Shen}, title = {PMP-Net: Point Cloud Completion by Learning Multi-Step Point Moving Paths}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7443-7452} }

Gradient-Based Algorithms for Machine Teaching

Pei Wang,

Kabir Nagrecha,

Nuno Vasconcelos

[pdf] [supp]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Pei and Nagrecha, Kabir and Vasconcelos, Nuno}, title = {Gradient-Based Algorithms for Machine Teaching}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1387-1396} }

MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing

Zhengjue Wang,

Hao Zhang,

Ziheng Cheng,

Bo Chen,

Xin Yuan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Zhengjue and Zhang, Hao and Cheng, Ziheng and Chen, Bo and Yuan, Xin}, title = {MetaSCI: Scalable and Adaptive Reconstruction for Video Compressive Sensing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2083-2092} }

Removing Raindrops and Rain Streaks in One Go

Ruijie Quan,

Xin Yu,

Yuanzhi Liang,

Yi Yang

[pdf] [supp]

[bibtex]

@InProceedings{Quan_2021_CVPR, author = {Quan, Ruijie and Yu, Xin and Liang, Yuanzhi and Yang, Yi}, title = {Removing Raindrops and Rain Streaks in One Go}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9147-9156} }

Action Unit Memory Network for Weakly Supervised Temporal Action Localization

Wang Luo,

Tianzhu Zhang,

Wenfei Yang,

Jingen Liu,

Tao Mei,

Feng Wu,

Yongdong Zhang

[pdf] [arXiv]

[bibtex]

@InProceedings{Luo_2021_CVPR, author = {Luo, Wang and Zhang, Tianzhu and Yang, Wenfei and Liu, Jingen and Mei, Tao and Wu, Feng and Zhang, Yongdong}, title = {Action Unit Memory Network for Weakly Supervised Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9969-9979} }

IMAGINE: Image Synthesis by Image-Guided Model Inversion

Pei Wang,

Yijun Li,

Krishna Kumar Singh,

Jingwan Lu,

Nuno Vasconcelos

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Pei and Li, Yijun and Singh, Krishna Kumar and Lu, Jingwan and Vasconcelos, Nuno}, title = {IMAGINE: Image Synthesis by Image-Guided Model Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3681-3690} }

Neural Scene Graphs for Dynamic Scenes

Julian Ost,

Fahim Mannan,

Nils Thuerey,

Julian Knodt,

Felix Heide

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ost_2021_CVPR, author = {Ost, Julian and Mannan, Fahim and Thuerey, Nils and Knodt, Julian and Heide, Felix}, title = {Neural Scene Graphs for Dynamic Scenes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2856-2865} }

RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words

Xuying Zhang,

Xiaoshuai Sun,

Yunpeng Luo,

Jiayi Ji,

Yiyi Zhou,

Yongjian Wu,

Feiyue Huang,

Rongrong Ji

[pdf]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xuying and Sun, Xiaoshuai and Luo, Yunpeng and Ji, Jiayi and Zhou, Yiyi and Wu, Yongjian and Huang, Feiyue and Ji, Rongrong}, title = {RSTNet: Captioning With Adaptive Attention on Visual and Non-Visual Words}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15465-15474} }

Time Lens: Event-Based Video Frame Interpolation

Stepan Tulyakov,

Daniel Gehrig,

Stamatios Georgoulis,

Julius Erbach,

Mathias Gehrig,

Yuanyou Li,

Davide Scaramuzza

[pdf] [supp]

[bibtex]

@InProceedings{Tulyakov_2021_CVPR, author = {Tulyakov, Stepan and Gehrig, Daniel and Georgoulis, Stamatios and Erbach, Julius and Gehrig, Mathias and Li, Yuanyou and Scaramuzza, Davide}, title = {Time Lens: Event-Based Video Frame Interpolation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16155-16164} }

FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space

Quande Liu,

Cheng Chen,

Jing Qin,

Qi Dou,

Pheng-Ann Heng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Quande and Chen, Cheng and Qin, Jing and Dou, Qi and Heng, Pheng-Ann}, title = {FedDG: Federated Domain Generalization on Medical Image Segmentation via Episodic Learning in Continuous Frequency Space}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1013-1023} }

Anomaly Detection in Video via Self-Supervised and Multi-Task Learning

Mariana-Iuliana Georgescu,

Antonio Barbalau,

Radu Tudor Ionescu,

Fahad Shahbaz Khan,

Marius Popescu,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Georgescu_2021_CVPR, author = {Georgescu, Mariana-Iuliana and Barbalau, Antonio and Ionescu, Radu Tudor and Khan, Fahad Shahbaz and Popescu, Marius and Shah, Mubarak}, title = {Anomaly Detection in Video via Self-Supervised and Multi-Task Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12742-12752} }

Multiresolution Knowledge Distillation for Anomaly Detection

Mohammadreza Salehi,

Niousha Sadjadi,

Soroosh Baselizadeh,

Mohammad H. Rohban,

Hamid R. Rabiee

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Salehi_2021_CVPR, author = {Salehi, Mohammadreza and Sadjadi, Niousha and Baselizadeh, Soroosh and Rohban, Mohammad H. and Rabiee, Hamid R.}, title = {Multiresolution Knowledge Distillation for Anomaly Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14902-14912} }

Joint Learning of 3D Shape Retrieval and Deformation

Mikaela Angelina Uy,

Vladimir G. Kim,

Minhyuk Sung,

Noam Aigerman,

Siddhartha Chaudhuri,

Leonidas J. Guibas

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Uy_2021_CVPR, author = {Uy, Mikaela Angelina and Kim, Vladimir G. and Sung, Minhyuk and Aigerman, Noam and Chaudhuri, Siddhartha and Guibas, Leonidas J.}, title = {Joint Learning of 3D Shape Retrieval and Deformation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11713-11722} }

Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring

Jiangxin Dong,

Stefan Roth,

Bernt Schiele

[pdf] [supp]

[bibtex]

@InProceedings{Dong_2021_CVPR, author = {Dong, Jiangxin and Roth, Stefan and Schiele, Bernt}, title = {Learning Spatially-Variant MAP Models for Non-Blind Image Deblurring}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4886-4895} }

FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions

Weian Mao,

Zhi Tian,

Xinlong Wang,

Chunhua Shen

[pdf] [arXiv]

[bibtex]

@InProceedings{Mao_2021_CVPR, author = {Mao, Weian and Tian, Zhi and Wang, Xinlong and Shen, Chunhua}, title = {FCPose: Fully Convolutional Multi-Person Pose Estimation With Dynamic Instance-Aware Convolutions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9034-9043} }

BoxInst: High-Performance Instance Segmentation With Box Annotations

Zhi Tian,

Chunhua Shen,

Xinlong Wang,

Hao Chen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tian_2021_CVPR, author = {Tian, Zhi and Shen, Chunhua and Wang, Xinlong and Chen, Hao}, title = {BoxInst: High-Performance Instance Segmentation With Box Annotations}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5443-5452} }

Modeling Multi-Label Action Dependencies for Temporal Action Localization

Praveen Tirupattur,

Kevin Duarte,

Yogesh S Rawat,

Mubarak Shah

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Tirupattur_2021_CVPR, author = {Tirupattur, Praveen and Duarte, Kevin and Rawat, Yogesh S and Shah, Mubarak}, title = {Modeling Multi-Label Action Dependencies for Temporal Action Localization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1460-1470} }

HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding

Ruibo Li,

Guosheng Lin,

Tong He,

Fayao Liu,

Chunhua Shen

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Ruibo and Lin, Guosheng and He, Tong and Liu, Fayao and Shen, Chunhua}, title = {HCRF-Flow: Scene Flow From Point Clouds With Continuous High-Order CRFs and Position-Aware Flow Embedding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {364-373} }

Lite-HRNet: A Lightweight High-Resolution Network

Changqian Yu,

Bin Xiao,

Changxin Gao,

Lu Yuan,

Lei Zhang,

Nong Sang,

Jingdong Wang

[pdf]

[bibtex]

@InProceedings{Yu_2021_CVPR, author = {Yu, Changqian and Xiao, Bin and Gao, Changxin and Yuan, Lu and Zhang, Lei and Sang, Nong and Wang, Jingdong}, title = {Lite-HRNet: A Lightweight High-Resolution Network}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10440-10450} }

Self-Supervised Video Representation Learning by Context and Motion Decoupling

Lianghua Huang,

Yu Liu,

Bin Wang,

Pan Pan,

Yinghui Xu,

Rong Jin

[pdf] [arXiv]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Lianghua and Liu, Yu and Wang, Bin and Pan, Pan and Xu, Yinghui and Jin, Rong}, title = {Self-Supervised Video Representation Learning by Context and Motion Decoupling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13886-13895} }

ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning

Dominik Bauer,

Timothy Patten,

Markus Vincze

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Bauer_2021_CVPR, author = {Bauer, Dominik and Patten, Timothy and Vincze, Markus}, title = {ReAgent: Point Cloud Registration Using Imitation and Reinforcement Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14586-14594} }

Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection

Wenfei Yang,

Tianzhu Zhang,

Xiaoyuan Yu,

Tian Qi,

Yongdong Zhang,

Feng Wu

[pdf]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Wenfei and Zhang, Tianzhu and Yu, Xiaoyuan and Qi, Tian and Zhang, Yongdong and Wu, Feng}, title = {Uncertainty Guided Collaborative Training for Weakly Supervised Temporal Action Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {53-63} }

Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation

Tengfei Song,

Zijun Cui,

Yuru Wang,

Wenming Zheng,

Qiang Ji

[pdf] [supp]

[bibtex]

@InProceedings{Song_2021_CVPR, author = {Song, Tengfei and Cui, Zijun and Wang, Yuru and Zheng, Wenming and Ji, Qiang}, title = {Dynamic Probabilistic Graph Convolution for Facial Action Unit Intensity Estimation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4845-4854} }

Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?

Malik Boudiaf,

Hoel Kervadec,

Ziko Imtiaz Masud,

Pablo Piantanida,

Ismail Ben Ayed,

Jose Dolz

[pdf] [supp]

[bibtex]

@InProceedings{Boudiaf_2021_CVPR, author = {Boudiaf, Malik and Kervadec, Hoel and Masud, Ziko Imtiaz and Piantanida, Pablo and Ben Ayed, Ismail and Dolz, Jose}, title = {Few-Shot Segmentation Without Meta-Learning: A Good Transductive Inference Is All You Need?}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13979-13988} }

Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos

Jiawei Liu,

Zheng-Jun Zha,

Wei Wu,

Kecheng Zheng,

Qibin Sun

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Jiawei and Zha, Zheng-Jun and Wu, Wei and Zheng, Kecheng and Sun, Qibin}, title = {Spatial-Temporal Correlation and Topology Learning for Person Re-Identification in Videos}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4370-4379} }

SPSG: Self-Supervised Photometric Scene Generation From RGB-D Scans

Angela Dai,

Yawar Siddiqui,

Justus Thies,

Julien Valentin,

Matthias Niessner

[pdf] [supp]

[bibtex]

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

Neural Auto-Exposure for High-Dynamic Range Object Detection

Emmanuel Onzon,

Fahim Mannan,

Felix Heide

[pdf] [supp]

[bibtex]

@InProceedings{Onzon_2021_CVPR, author = {Onzon, Emmanuel and Mannan, Fahim and Heide, Felix}, title = {Neural Auto-Exposure for High-Dynamic Range Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7710-7720} }

Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers

Sixiao Zheng,

Jiachen Lu,

Hengshuang Zhao,

Xiatian Zhu,

Zekun Luo,

Yabiao Wang,

Yanwei Fu,

Jianfeng Feng,

Tao Xiang,

Philip H.S. Torr,

Li Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zheng_2021_CVPR, author = {Zheng, Sixiao and Lu, Jiachen and Zhao, Hengshuang and Zhu, Xiatian and Luo, Zekun and Wang, Yabiao and Fu, Yanwei and Feng, Jianfeng and Xiang, Tao and Torr, Philip H.S. and Zhang, Li}, title = {Rethinking Semantic Segmentation From a Sequence-to-Sequence Perspective With Transformers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6881-6890} }

Interpreting Super-Resolution Networks With Local Attribution Maps

Jinjin Gu,

Chao Dong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gu_2021_CVPR, author = {Gu, Jinjin and Dong, Chao}, title = {Interpreting Super-Resolution Networks With Local Attribution Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9199-9208} }

Multi-Target Domain Adaptation With Collaborative Consistency Learning

Takashi Isobe,

Xu Jia,

Shuaijun Chen,

Jianzhong He,

Yongjie Shi,

Jianzhuang Liu,

Huchuan Lu,

Shengjin Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Isobe_2021_CVPR, author = {Isobe, Takashi and Jia, Xu and Chen, Shuaijun and He, Jianzhong and Shi, Yongjie and Liu, Jianzhuang and Lu, Huchuan and Wang, Shengjin}, title = {Multi-Target Domain Adaptation With Collaborative Consistency Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8187-8196} }

Troubleshooting Blind Image Quality Models in the Wild

Zhihua Wang,

Haotao Wang,

Tianlong Chen,

Zhangyang Wang,

Kede Ma

[pdf] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Zhihua and Wang, Haotao and Chen, Tianlong and Wang, Zhangyang and Ma, Kede}, title = {Troubleshooting Blind Image Quality Models in the Wild}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16256-16265} }

Semantic Palette: Guiding Scene Generation With Class Proportions

Guillaume Le Moing,

Tuan-Hung Vu,

Himalaya Jain,

Patrick Perez,

Matthieu Cord

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Le_Moing_2021_CVPR, author = {Le Moing, Guillaume and Vu, Tuan-Hung and Jain, Himalaya and Perez, Patrick and Cord, Matthieu}, title = {Semantic Palette: Guiding Scene Generation With Class Proportions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9342-9350} }

Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging

Feilong Zhang,

Xianming Liu,

Cheng Guo,

Shiyi Lin,

Junjun Jiang,

Xiangyang Ji

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Feilong and Liu, Xianming and Guo, Cheng and Lin, Shiyi and Jiang, Junjun and Ji, Xiangyang}, title = {Physics-Based Iterative Projection Complex Neural Network for Phase Retrieval in Lensless Microscopy Imaging}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10523-10531} }

Causal Attention for Vision-Language Tasks

Xu Yang,

Hanwang Zhang,

Guojun Qi,

Jianfei Cai

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Yang_2021_CVPR, author = {Yang, Xu and Zhang, Hanwang and Qi, Guojun and Cai, Jianfei}, title = {Causal Attention for Vision-Language Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9847-9857} }

Scene Text Telescope: Text-Focused Scene Image Super-Resolution

Jingye Chen,

Bin Li,

Xiangyang Xue

[pdf] [supp]

[bibtex]

@InProceedings{Chen_2021_CVPR, author = {Chen, Jingye and Li, Bin and Xue, Xiangyang}, title = {Scene Text Telescope: Text-Focused Scene Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12026-12035} }

NeuTex: Neural Texture Mapping for Volumetric Neural Rendering

Fanbo Xiang,

Zexiang Xu,

Milos Hasan,

Yannick Hold-Geoffroy,

Kalyan Sunkavalli,

Hao Su

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xiang_2021_CVPR, author = {Xiang, Fanbo and Xu, Zexiang and Hasan, Milos and Hold-Geoffroy, Yannick and Sunkavalli, Kalyan and Su, Hao}, title = {NeuTex: Neural Texture Mapping for Volumetric Neural Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7119-7128} }

Improving Calibration for Long-Tailed Recognition

Zhisheng Zhong,

Jiequan Cui,

Shu Liu,

Jiaya Jia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2021_CVPR, author = {Zhong, Zhisheng and Cui, Jiequan and Liu, Shu and Jia, Jiaya}, title = {Improving Calibration for Long-Tailed Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16489-16498} }

Learning Affinity-Aware Upsampling for Deep Image Matting

Yutong Dai,

Hao Lu,

Chunhua Shen

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Dai_2021_CVPR, author = {Dai, Yutong and Lu, Hao and Shen, Chunhua}, title = {Learning Affinity-Aware Upsampling for Deep Image Matting}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6841-6850} }

Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling

Daniel Stadler,

Jurgen Beyerer

[pdf]

[bibtex]

@InProceedings{Stadler_2021_CVPR, author = {Stadler, Daniel and Beyerer, Jurgen}, title = {Improving Multiple Pedestrian Tracking by Track Management and Occlusion Handling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10958-10967} }

Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning

Amaia Salvador,

Erhan Gundogdu,

Loris Bazzani,

Michael Donoser

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Salvador_2021_CVPR, author = {Salvador, Amaia and Gundogdu, Erhan and Bazzani, Loris and Donoser, Michael}, title = {Revamping Cross-Modal Recipe Retrieval With Hierarchical Transformers and Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15475-15484} }

Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis

Chao Huang,

Anuj Srivastava,

Rongjie Liu

[pdf]

[bibtex]

@InProceedings{Huang_2021_CVPR, author = {Huang, Chao and Srivastava, Anuj and Liu, Rongjie}, title = {Geo-FARM: Geodesic Factor Regression Model for Misaligned Pre-Shape Responses in Statistical Shape Analysis}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11496-11505} }

MOST: A Multi-Oriented Scene Text Detector With Localization Refinement

Minghang He,

Minghui Liao,

Zhibo Yang,

Humen Zhong,

Jun Tang,

Wenqing Cheng,

Cong Yao,

Yongpan Wang,

Xiang Bai

[pdf] [arXiv]

[bibtex]

@InProceedings{He_2021_CVPR, author = {He, Minghang and Liao, Minghui and Yang, Zhibo and Zhong, Humen and Tang, Jun and Cheng, Wenqing and Yao, Cong and Wang, Yongpan and Bai, Xiang}, title = {MOST: A Multi-Oriented Scene Text Detector With Localization Refinement}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8813-8822} }

A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks.

Adrien Poulenard,

Leonidas J. Guibas

[pdf] [supp]

[bibtex]

@InProceedings{Poulenard_2021_CVPR, author = {Poulenard, Adrien and Guibas, Leonidas J.}, title = {A Functional Approach to Rotation Equivariant Non-Linearities for Tensor Field Networks.}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13174-13183} }

Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms

Yuxing Tang,

Zhenjie Cao,

Yanbo Zhang,

Zhicheng Yang,

Zongcheng Ji,

Yiwei Wang,

Mei Han,

Jie Ma,

Jing Xiao,

Peng Chang

[pdf] [supp]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Yuxing and Cao, Zhenjie and Zhang, Yanbo and Yang, Zhicheng and Ji, Zongcheng and Wang, Yiwei and Han, Mei and Ma, Jie and Xiao, Jing and Chang, Peng}, title = {Leveraging Large-Scale Weakly Labeled Data for Semi-Supervised Mass Detection in Mammograms}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {3855-3864} }

Fast and Accurate Model Scaling

Piotr Dollar,

Mannat Singh,

Ross Girshick

[pdf] [arXiv]

[bibtex]

@InProceedings{Dollar_2021_CVPR, author = {Dollar, Piotr and Singh, Mannat and Girshick, Ross}, title = {Fast and Accurate Model Scaling}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {924-932} }

Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images

Andreas Meuleman,

Hyeonjoong Jang,

Daniel S. Jeon,

Min H. Kim

[pdf] [supp]

[bibtex]

@InProceedings{Meuleman_2021_CVPR, author = {Meuleman, Andreas and Jang, Hyeonjoong and Jeon, Daniel S. and Kim, Min H.}, title = {Real-Time Sphere Sweeping Stereo From Multiview Fisheye Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11423-11432} }

Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework

Qiang Zhou,

Chaohui Yu,

Zhibin Wang,

Qi Qian,

Hao Li

[pdf] [supp]

[bibtex]

@InProceedings{Zhou_2021_CVPR, author = {Zhou, Qiang and Yu, Chaohui and Wang, Zhibin and Qian, Qi and Li, Hao}, title = {Instant-Teaching: An End-to-End Semi-Supervised Object Detection Framework}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4081-4090} }

Taskology: Utilizing Task Relations at Scale

Yao Lu,

Soren Pirk,

Jan Dlabal,

Anthony Brohan,

Ankita Pasad,

Zhao Chen,

Vincent Casser,

Anelia Angelova,

Ariel Gordon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lu_2021_CVPR, author = {Lu, Yao and Pirk, Soren and Dlabal, Jan and Brohan, Anthony and Pasad, Ankita and Chen, Zhao and Casser, Vincent and Angelova, Anelia and Gordon, Ariel}, title = {Taskology: Utilizing Task Relations at Scale}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8700-8709} }

Progressive Domain Expansion Network for Single Domain Generalization

Lei Li,

Ke Gao,

Juan Cao,

Ziyao Huang,

Yepeng Weng,

Xiaoyue Mi,

Zhengze Yu,

Xiaoya Li,

Boyang Xia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Lei and Gao, Ke and Cao, Juan and Huang, Ziyao and Weng, Yepeng and Mi, Xiaoyue and Yu, Zhengze and Li, Xiaoya and Xia, Boyang}, title = {Progressive Domain Expansion Network for Single Domain Generalization}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {224-233} }

View-Guided Point Cloud Completion

Xuancheng Zhang,

Yutong Feng,

Siqi Li,

Changqing Zou,

Hai Wan,

Xibin Zhao,

Yandong Guo,

Yue Gao

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Xuancheng and Feng, Yutong and Li, Siqi and Zou, Changqing and Wan, Hai and Zhao, Xibin and Guo, Yandong and Gao, Yue}, title = {View-Guided Point Cloud Completion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15890-15899} }

Generative Hierarchical Features From Synthesizing Images

Yinghao Xu,

Yujun Shen,

Jiapeng Zhu,

Ceyuan Yang,

Bolei Zhou

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Xu_2021_CVPR, author = {Xu, Yinghao and Shen, Yujun and Zhu, Jiapeng and Yang, Ceyuan and Zhou, Bolei}, title = {Generative Hierarchical Features From Synthesizing Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4432-4442} }

Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality

Trisha Mittal,

Puneet Mathur,

Aniket Bera,

Dinesh Manocha

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Mittal_2021_CVPR, author = {Mittal, Trisha and Mathur, Puneet and Bera, Aniket and Manocha, Dinesh}, title = {Affect2MM: Affective Analysis of Multimedia Content Using Emotion Causality}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {5661-5671} }

Black-Box Explanation of Object Detectors via Saliency Maps

Vitali Petsiuk,

Rajiv Jain,

Varun Manjunatha,

Vlad I. Morariu,

Ashutosh Mehra,

Vicente Ordonez,

Kate Saenko

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Petsiuk_2021_CVPR, author = {Petsiuk, Vitali and Jain, Rajiv and Manjunatha, Varun and Morariu, Vlad I. and Mehra, Ashutosh and Ordonez, Vicente and Saenko, Kate}, title = {Black-Box Explanation of Object Detectors via Saliency Maps}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {11443-11452} }

Skip-Convolutions for Efficient Video Processing

Amirhossein Habibian,

Davide Abati,

Taco S. Cohen,

Babak Ehteshami Bejnordi

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Habibian_2021_CVPR, author = {Habibian, Amirhossein and Abati, Davide and Cohen, Taco S. and Bejnordi, Babak Ehteshami}, title = {Skip-Convolutions for Efficient Video Processing}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2695-2704} }

Looking Into Your Speech: Learning Cross-Modal Affinity for Audio-Visual Speech Separation

Jiyoung Lee,

Soo-Whan Chung,

Sunok Kim,

Hong-Goo Kang,

Kwanghoon Sohn

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Jiyoung and Chung, Soo-Whan and Kim, Sunok and Kang, Hong-Goo and Sohn, Kwanghoon}, title = {Looking Into Your Speech: Learning Cross-Modal Affinity for Audio-Visual Speech Separation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1336-1345} }

GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution

Kelvin C.K. Chan,

Xintao Wang,

Xiangyu Xu,

Jinwei Gu,

Chen Change Loy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Chan_2021_CVPR, author = {Chan, Kelvin C.K. and Wang, Xintao and Xu, Xiangyu and Gu, Jinwei and Loy, Chen Change}, title = {GLEAN: Generative Latent Bank for Large-Factor Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14245-14254} }

Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective

Jingwei Sun,

Ang Li,

Binghui Wang,

Huanrui Yang,

Hai Li,

Yiran Chen

[pdf] [supp]

[bibtex]

@InProceedings{Sun_2021_CVPR, author = {Sun, Jingwei and Li, Ang and Wang, Binghui and Yang, Huanrui and Li, Hai and Chen, Yiran}, title = {Soteria: Provable Defense Against Privacy Leakage in Federated Learning From Representation Perspective}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9311-9319} }

Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers

Lei Ke,

Yu-Wing Tai,

Chi-Keung Tang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Ke_2021_CVPR, author = {Ke, Lei and Tai, Yu-Wing and Tang, Chi-Keung}, title = {Deep Occlusion-Aware Instance Segmentation With Overlapping BiLayers}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4019-4028} }

MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera

Felix Wimbauer,

Nan Yang,

Lukas von Stumberg,

Niclas Zeller,

Daniel Cremers

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wimbauer_2021_CVPR, author = {Wimbauer, Felix and Yang, Nan and von Stumberg, Lukas and Zeller, Niclas and Cremers, Daniel}, title = {MonoRec: Semi-Supervised Dense Reconstruction in Dynamic Environments From a Single Moving Camera}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {6112-6122} }

DAP: Detection-Aware Pre-Training With Weak Supervision

Yuanyi Zhong,

Jianfeng Wang,

Lijuan Wang,

Jian Peng,

Yu-Xiong Wang,

Lei Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhong_2021_CVPR, author = {Zhong, Yuanyi and Wang, Jianfeng and Wang, Lijuan and Peng, Jian and Wang, Yu-Xiong and Zhang, Lei}, title = {DAP: Detection-Aware Pre-Training With Weak Supervision}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4537-4546} }

Spatial Assembly Networks for Image Representation Learning

Yang Li,

Shichao Kan,

Jianhe Yuan,

Wenming Cao,

Zhihai He

[pdf] [supp]

[bibtex]

@InProceedings{Li_2021_CVPR, author = {Li, Yang and Kan, Shichao and Yuan, Jianhe and Cao, Wenming and He, Zhihai}, title = {Spatial Assembly Networks for Image Representation Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13876-13885} }

Linguistic Structures As Weak Supervision for Visual Scene Graph Generation

Keren Ye,

Adriana Kovashka

[pdf] [arXiv]

[bibtex]

@InProceedings{Ye_2021_CVPR, author = {Ye, Keren and Kovashka, Adriana}, title = {Linguistic Structures As Weak Supervision for Visual Scene Graph Generation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {8289-8299} }

SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature

Zedong Tang,

Fenlong Jiang,

Maoguo Gong,

Hao Li,

Yue Wu,

Fan Yu,

Zidong Wang,

Min Wang

[pdf] [supp]

[bibtex]

@InProceedings{Tang_2021_CVPR, author = {Tang, Zedong and Jiang, Fenlong and Gong, Maoguo and Li, Hao and Wu, Yue and Yu, Fan and Wang, Zidong and Wang, Min}, title = {SKFAC: Training Neural Networks With Faster Kronecker-Factored Approximate Curvature}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13479-13487} }

Global2Local: Efficient Structure Search for Video Action Segmentation

Shang-Hua Gao,

Qi Han,

Zhong-Yu Li,

Pai Peng,

Liang Wang,

Ming-Ming Cheng

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Gao_2021_CVPR, author = {Gao, Shang-Hua and Han, Qi and Li, Zhong-Yu and Peng, Pai and Wang, Liang and Cheng, Ming-Ming}, title = {Global2Local: Efficient Structure Search for Video Action Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16805-16814} }

Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes

Huan Lei,

Naveed Akhtar,

Ajmal Mian

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lei_2021_CVPR, author = {Lei, Huan and Akhtar, Naveed and Mian, Ajmal}, title = {Picasso: A CUDA-Based Library for Deep Learning Over 3D Meshes}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {13854-13864} }

DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows

Valentin Wolf,

Andreas Lugmayr,

Martin Danelljan,

Luc Van Gool,

Radu Timofte

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wolf_2021_CVPR, author = {Wolf, Valentin and Lugmayr, Andreas and Danelljan, Martin and Van Gool, Luc and Timofte, Radu}, title = {DeFlow: Learning Complex Image Degradations From Unpaired Data With Conditional Flows}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {94-103} }

Student-Teacher Learning From Clean Inputs to Noisy Inputs

Guanzhe Hong,

Zhiyuan Mao,

Xiaojun Lin,

Stanley H. Chan

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Hong_2021_CVPR, author = {Hong, Guanzhe and Mao, Zhiyuan and Lin, Xiaojun and Chan, Stanley H.}, title = {Student-Teacher Learning From Clean Inputs to Noisy Inputs}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12075-12084} }

AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles

Jingkang Wang,

Ava Pun,

James Tu,

Sivabalan Manivasagam,

Abbas Sadat,

Sergio Casas,

Mengye Ren,

Raquel Urtasun

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Jingkang and Pun, Ava and Tu, James and Manivasagam, Sivabalan and Sadat, Abbas and Casas, Sergio and Ren, Mengye and Urtasun, Raquel}, title = {AdvSim: Generating Safety-Critical Scenarios for Self-Driving Vehicles}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {9909-9918} }

MoViNets: Mobile Video Networks for Efficient Video Recognition

Dan Kondratyuk,

Liangzhe Yuan,

Yandong Li,

Li Zhang,

Mingxing Tan,

Matthew Brown,

Boqing Gong

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Kondratyuk_2021_CVPR, author = {Kondratyuk, Dan and Yuan, Liangzhe and Li, Yandong and Zhang, Li and Tan, Mingxing and Brown, Matthew and Gong, Boqing}, title = {MoViNets: Mobile Video Networks for Efficient Video Recognition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16020-16030} }

IBRNet: Learning Multi-View Image-Based Rendering

Qianqian Wang,

Zhicheng Wang,

Kyle Genova,

Pratul P. Srinivasan,

Howard Zhou,

Jonathan T. Barron,

Ricardo Martin-Brualla,

Noah Snavely,

Thomas Funkhouser

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Qianqian and Wang, Zhicheng and Genova, Kyle and Srinivasan, Pratul P. and Zhou, Howard and Barron, Jonathan T. and Martin-Brualla, Ricardo and Snavely, Noah and Funkhouser, Thomas}, title = {IBRNet: Learning Multi-View Image-Based Rendering}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4690-4699} }

SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning

Colorado J Reed,

Sean Metzger,

Aravind Srinivas,

Trevor Darrell,

Kurt Keutzer

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Reed_2021_CVPR, author = {Reed, Colorado J and Metzger, Sean and Srinivas, Aravind and Darrell, Trevor and Keutzer, Kurt}, title = {SelfAugment: Automatic Augmentation Policies for Self-Supervised Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2674-2683} }

Adversarial Invariant Learning

Nanyang Ye,

Jingxuan Tang,

Huayu Deng,

Xiao-Yun Zhou,

Qianxiao Li,

Zhenguo Li,

Guang-Zhong Yang,

Zhanxing Zhu

[pdf] [supp]

[bibtex]

@InProceedings{Ye_2021_CVPR, author = {Ye, Nanyang and Tang, Jingxuan and Deng, Huayu and Zhou, Xiao-Yun and Li, Qianxiao and Li, Zhenguo and Yang, Guang-Zhong and Zhu, Zhanxing}, title = {Adversarial Invariant Learning}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {12446-12454} }

Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks

Naoya Takahashi,

Yuki Mitsufuji

[pdf]

[bibtex]

@InProceedings{Takahashi_2021_CVPR, author = {Takahashi, Naoya and Mitsufuji, Yuki}, title = {Densely Connected Multi-Dilated Convolutional Networks for Dense Prediction Tasks}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {993-1002} }

Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection

Li Wang,

Liang Du,

Xiaoqing Ye,

Yanwei Fu,

Guodong Guo,

Xiangyang Xue,

Jianfeng Feng,

Li Zhang

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Wang_2021_CVPR, author = {Wang, Li and Du, Liang and Ye, Xiaoqing and Fu, Yanwei and Guo, Guodong and Xue, Xiangyang and Feng, Jianfeng and Zhang, Li}, title = {Depth-Conditioned Dynamic Message Propagation for Monocular 3D Object Detection}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {454-463} }

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration

Zhiqiang Shen,

Zechun Liu,

Jie Qin,

Lei Huang,

Kwang-Ting Cheng,

Marios Savvides

[pdf]

[bibtex]

@InProceedings{Shen_2021_CVPR, author = {Shen, Zhiqiang and Liu, Zechun and Qin, Jie and Huang, Lei and Cheng, Kwang-Ting and Savvides, Marios}, title = {S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-Bit Neural Networks via Guided Distribution Calibration}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2165-2174} }

Learning Optical Flow From Still Images

Filippo Aleotti,

Matteo Poggi,

Stefano Mattoccia

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Aleotti_2021_CVPR, author = {Aleotti, Filippo and Poggi, Matteo and Mattoccia, Stefano}, title = {Learning Optical Flow From Still Images}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {15201-15211} }

From Shadow Generation To Shadow Removal

Zhihao Liu,

Hui Yin,

Xinyi Wu,

Zhenyao Wu,

Yang Mi,

Song Wang

[pdf] [arXiv]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Zhihao and Yin, Hui and Wu, Xinyi and Wu, Zhenyao and Mi, Yang and Wang, Song}, title = {From Shadow Generation To Shadow Removal}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4927-4936} }

Face Forgery Detection by 3D Decomposition

Xiangyu Zhu,

Hao Wang,

Hongyan Fei,

Zhen Lei,

Stan Z. Li

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhu_2021_CVPR, author = {Zhu, Xiangyu and Wang, Hao and Fei, Hongyan and Lei, Zhen and Li, Stan Z.}, title = {Face Forgery Detection by 3D Decomposition}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2929-2939} }

Unsupervised 3D Shape Completion Through GAN Inversion

Junzhe Zhang,

Xinyi Chen,

Zhongang Cai,

Liang Pan,

Haiyu Zhao,

Shuai Yi,

Chai Kiat Yeo,

Bo Dai,

Chen Change Loy

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Junzhe and Chen, Xinyi and Cai, Zhongang and Pan, Liang and Zhao, Haiyu and Yi, Shuai and Yeo, Chai Kiat and Dai, Bo and Loy, Chen Change}, title = {Unsupervised 3D Shape Completion Through GAN Inversion}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1768-1777} }

Pseudo 3D Auto-Correlation Network for Real Image Denoising

Xiaowan Hu,

Ruijun Ma,

Zhihong Liu,

Yuanhao Cai,

Xiaole Zhao,

Yulun Zhang,

Haoqian Wang

[pdf]

[bibtex]

@InProceedings{Hu_2021_CVPR, author = {Hu, Xiaowan and Ma, Ruijun and Liu, Zhihong and Cai, Yuanhao and Zhao, Xiaole and Zhang, Yulun and Wang, Haoqian}, title = {Pseudo 3D Auto-Correlation Network for Real Image Denoising}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {16175-16184} }

MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training

Chengyue Gong,

Tongzheng Ren,

Mao Ye,

Qiang Liu

[pdf] [supp]

[bibtex]

@InProceedings{Gong_2021_CVPR, author = {Gong, Chengyue and Ren, Tongzheng and Ye, Mao and Liu, Qiang}, title = {MaxUp: Lightweight Adversarial Training With Data Augmentation Improves Neural Network Training}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {2474-2483} }

Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation

Jungbeom Lee,

Eunji Kim,

Sungroh Yoon

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Lee_2021_CVPR, author = {Lee, Jungbeom and Kim, Eunji and Yoon, Sungroh}, title = {Anti-Adversarially Manipulated Attributions for Weakly and Semi-Supervised Semantic Segmentation}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {4071-4080} }

Data-Free Knowledge Distillation for Image Super-Resolution

Yiman Zhang,

Hanting Chen,

Xinghao Chen,

Yiping Deng,

Chunjing Xu,

Yunhe Wang

[pdf] [supp]

[bibtex]

@InProceedings{Zhang_2021_CVPR, author = {Zhang, Yiman and Chen, Hanting and Chen, Xinghao and Deng, Yiping and Xu, Chunjing and Wang, Yunhe}, title = {Data-Free Knowledge Distillation for Image Super-Resolution}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {7852-7861} }

PluckerNet: Learn To Register 3D Line Reconstructions

Liu Liu,

Hongdong Li,

Haodong Yao,

Ruyi Zha

[pdf]

[bibtex]

@InProceedings{Liu_2021_CVPR, author = {Liu, Liu and Li, Hongdong and Yao, Haodong and Zha, Ruyi}, title = {PluckerNet: Learn To Register 3D Line Reconstructions}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {1842-1852} }

Deep Perceptual Preprocessing for Video Coding

Aaron Chadha,

Yiannis Andreopoulos

[pdf] [supp]

[bibtex]

@InProceedings{Chadha_2021_CVPR, author = {Chadha, Aaron and Andreopoulos, Yiannis}, title = {Deep Perceptual Preprocessing for Video Coding}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {14852-14861} }

Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball

Andrew Elliott,

Stephen Law,

Chris Russell

[pdf] [supp] [arXiv]

[bibtex]

@InProceedings{Elliott_2021_CVPR, author = {Elliott, Andrew and Law, Stephen and Russell, Chris}, title = {Explaining Classifiers Using Adversarial Perturbations on the Perceptual Ball}, booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, month = {June}, year = {2021}, pages = {10693-10702} }

DARCNN: Domain Adaptive Region-Based Convolutional Neural Network for Unsupervised Instance Segmentation in Biomedical Images

Joy Hsu,

Wah Chiu,

Serena Yeung

[pdf] [arXiv]

[bibtex]

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

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