Papers
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Dual Super-Resolution Learning for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Li and Li, Dong and Zhu, Yousong and Tian, Lu and Shan, Yi},
title = {Dual Super-Resolution Learning for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Unfolding Network for Image Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Kai and Van Gool, Luc and Timofte, Radu},
title = {Deep Unfolding Network for Image Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Learning for Intrinsic Image Decomposition From a Single Image-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yunfei and Li, Yu and You, Shaodi and Lu, Feng},
title = {Unsupervised Learning for Intrinsic Image Decomposition From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Shijie and Li, Shihua and Chen, Dapeng and Zhao, Rui and Yan, Junjie and Qiao, Yu},
title = {COCAS: A Large-Scale Clothes Changing Person Dataset for Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Verelst_2020_CVPR,
author = {Verelst, Thomas and Tuytelaars, Tinne},
title = {Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Alleviation of Gradient Exploding in GANs: Fake Can Be Real-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tao_2020_CVPR,
author = {Tao, Song and Wang, Jia},
title = {Alleviation of Gradient Exploding in GANs: Fake Can Be Real},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Forward and Backward Information Retention for Accurate Binary Neural Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Qin_2020_CVPR,
author = {Qin, Haotong and Gong, Ruihao and Liu, Xianglong and Shen, Mingzhu and Wei, Ziran and Yu, Fengwei and Song, Jingkuan},
title = {Forward and Backward Information Retention for Accurate Binary Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2020_CVPR,
author = {Yan, Bin and Wang, Dong and Lu, Huchuan and Yang, Xiaoyun},
title = {Cooling-Shrinking Attack: Blinding the Tracker With Imperceptible Noises},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Xiang_2020_CVPR,
author = {Xiang, Xiaoyu and Tian, Yapeng and Zhang, Yulun and Fu, Yun and Allebach, Jan P. and Xu, Chenliang},
title = {Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Hierarchical Graph Network for 3D Object Detection on Point Clouds-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Jintai and Lei, Biwen and Song, Qingyu and Ying, Haochao and Chen, Danny Z. and Wu, Jian},
title = {A Hierarchical Graph Network for 3D Object Detection on Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification-
[pdf]
[video]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Jiahuan and Su, Bing and Wu, Ying},
title = {Online Joint Multi-Metric Adaptation From Frequent Sharing-Subset Mining for Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Discriminate Information for Online Action Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Eun_2020_CVPR,
author = {Eun, Hyunjun and Moon, Jinyoung and Park, Jongyoul and Jung, Chanho and Kim, Changick},
title = {Learning to Discriminate Information for Online Action Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video to Events: Recycling Video Datasets for Event Cameras-
[pdf]
[supp]
[bibtex]@InProceedings{Gehrig_2020_CVPR,
author = {Gehrig, Daniel and Gehrig, Mathias and Hidalgo-Carrio, Javier and Scaramuzza, Davide},
title = {Video to Events: Recycling Video Datasets for Event Cameras},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bundle Pooling for Polygonal Architecture Segmentation Problem-
[pdf]
[bibtex]@InProceedings{Zeng_2020_CVPR,
author = {Zeng, Huayi and Joseph, Kevin and Vest, Adam and Furukawa, Yasutaka},
title = {Bundle Pooling for Polygonal Architecture Segmentation Problem},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Ehsani_2020_CVPR,
author = {Ehsani, Kiana and Tulsiani, Shubham and Gupta, Saurabh and Farhadi, Ali and Gupta, Abhinav},
title = {Use the Force, Luke! Learning to Predict Physical Forces by Simulating Effects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Articulation-Aware Canonical Surface Mapping-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kulkarni_2020_CVPR,
author = {Kulkarni, Nilesh and Gupta, Abhinav and Fouhey, David F. and Tulsiani, Shubham},
title = {Articulation-Aware Canonical Surface Mapping},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Eugene and Lee, Chen-Yi},
title = {NeuralScale: Efficient Scaling of Neurons for Resource-Constrained Deep Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Yoonsik and Soh, Jae Woong and Park, Gu Yong and Cho, Nam Ik},
title = {Transfer Learning From Synthetic to Real-Noise Denoising With Adaptive Instance Normalization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Variational Context-Deformable ConvNets for Indoor Scene Parsing-
[pdf]
[supp]
[bibtex]@InProceedings{Xiong_2020_CVPR,
author = {Xiong, Zhitong and Yuan, Yuan and Guo, Nianhui and Wang, Qi},
title = {Variational Context-Deformable ConvNets for Indoor Scene Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Mathew_2020_CVPR,
author = {Mathew, Shawn and Nadeem, Saad and Kumari, Sruti and Kaufman, Arie},
title = {Augmenting Colonoscopy Using Extended and Directional CycleGAN for Lossy Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Yifeng and Lin, Guangchen and Li, Songyuan and Bourahla, Omar and Wu, Yiming and Wang, Fangfang and Feng, Junyi and Xu, Mingliang and Li, Xi},
title = {BANet: Bidirectional Aggregation Network With Occlusion Handling for Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Qihang and Yang, Dong and Roth, Holger and Bai, Yutong and Zhang, Yixiao and Yuille, Alan L. and Xu, Daguang},
title = {C2FNAS: Coarse-to-Fine Neural Architecture Search for 3D Medical Image Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Seeing the World in a Bag of Chips-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Park_2020_CVPR,
author = {Park, Jeong Joon and Holynski, Aleksander and Seitz, Steven M.},
title = {Seeing the World in a Bag of Chips},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cascaded Deep Video Deblurring Using Temporal Sharpness Prior-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pan_2020_CVPR,
author = {Pan, Jinshan and Bai, Haoran and Tang, Jinhui},
title = {Cascaded Deep Video Deblurring Using Temporal Sharpness Prior},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reflection Scene Separation From a Single Image-
[pdf]
[bibtex]@InProceedings{Wan_2020_CVPR,
author = {Wan, Renjie and Shi, Boxin and Li, Haoliang and Duan, Ling-Yu and Kot, Alex C.},
title = {Reflection Scene Separation From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SmallBigNet: Integrating Core and Contextual Views for Video Classification-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xianhang and Wang, Yali and Zhou, Zhipeng and Qiao, Yu},
title = {SmallBigNet: Integrating Core and Contextual Views for Video Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
From Two Rolling Shutters to One Global Shutter-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Albl_2020_CVPR,
author = {Albl, Cenek and Kukelova, Zuzana and Larsson, Viktor and Polic, Michal and Pajdla, Tomas and Schindler, Konrad},
title = {From Two Rolling Shutters to One Global Shutter},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CvxNet: Learnable Convex Decomposition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Deng_2020_CVPR,
author = {Deng, Boyang and Genova, Kyle and Yazdani, Soroosh and Bouaziz, Sofien and Hinton, Geoffrey and Tagliasacchi, Andrea},
title = {CvxNet: Learnable Convex Decomposition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RoboTHOR: An Open Simulation-to-Real Embodied AI Platform-
[pdf]
[arXiv]
[bibtex]@InProceedings{Deitke_2020_CVPR,
author = {Deitke, Matt and Han, Winson and Herrasti, Alvaro and Kembhavi, Aniruddha and Kolve, Eric and Mottaghi, Roozbeh and Salvador, Jordi and Schwenk, Dustin and VanderBilt, Eli and Wallingford, Matthew and Weihs, Luca and Yatskar, Mark and Farhadi, Ali},
title = {RoboTHOR: An Open Simulation-to-Real Embodied AI Platform},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Style Normalization and Restitution for Generalizable Person Re-Identification-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Jin_2020_CVPR,
author = {Jin, Xin and Lan, Cuiling and Zeng, Wenjun and Chen, Zhibo and Zhang, Li},
title = {Style Normalization and Restitution for Generalizable Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Training Noise-Robust Deep Neural Networks via Meta-Learning-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Zhen and Hu, Guosheng and Hu, Qinghua},
title = {Training Noise-Robust Deep Neural Networks via Meta-Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HUMBI: A Large Multiview Dataset of Human Body Expressions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Zhixuan and Yoon, Jae Shin and Lee, In Kyu and Venkatesh, Prashanth and Park, Jaesik and Yu, Jihun and Park, Hyun Soo},
title = {HUMBI: A Large Multiview Dataset of Human Body Expressions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Transferable Targeted Attack-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Maosen and Deng, Cheng and Li, Tengjiao and Yan, Junchi and Gao, Xinbo and Huang, Heng},
title = {Towards Transferable Targeted Attack},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yue_2020_CVPR,
author = {Yue, Huanjing and Cao, Cong and Liao, Lei and Chu, Ronghe and Yang, Jingyu},
title = {Supervised Raw Video Denoising With a Benchmark Dataset on Dynamic Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FDA: Fourier Domain Adaptation for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Yanchao and Soatto, Stefano},
title = {FDA: Fourier Domain Adaptation for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SGAS: Sequential Greedy Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Guohao and Qian, Guocheng and Delgadillo, Itzel C. and Muller, Matthias and Thabet, Ali and Ghanem, Bernard},
title = {SGAS: Sequential Greedy Architecture Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Instance Segmentation of Biological Images Using Harmonic Embeddings-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kulikov_2020_CVPR,
author = {Kulikov, Victor and Lempitsky, Victor},
title = {Instance Segmentation of Biological Images Using Harmonic Embeddings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Brattoli_2020_CVPR,
author = {Brattoli, Biagio and Tighe, Joseph and Zhdanov, Fedor and Perona, Pietro and Chalupka, Krzysztof},
title = {Rethinking Zero-Shot Video Classification: End-to-End Training for Realistic Applications},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Multigrid Method for Efficiently Training Video Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Chao-Yuan and Girshick, Ross and He, Kaiming and Feichtenhofer, Christoph and Krahenbuhl, Philipp},
title = {A Multigrid Method for Efficiently Training Video Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attention-Aware Multi-View Stereo-
[pdf]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Keyang and Guan, Tao and Ju, Lili and Wang, Yuesong and Chen, Zhuo and Luo, Yawei},
title = {Attention-Aware Multi-View Stereo},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Liao_2020_CVPR,
author = {Liao, Yue and Liu, Si and Wang, Fei and Chen, Yanjie and Qian, Chen and Feng, Jiashi},
title = {PPDM: Parallel Point Detection and Matching for Real-Time Human-Object Interaction Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Menon_2020_CVPR,
author = {Menon, Sachit and Damian, Alexandru and Hu, Shijia and Ravi, Nikhil and Rudin, Cynthia},
title = {PULSE: Self-Supervised Photo Upsampling via Latent Space Exploration of Generative Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Discrete Model Compression With Resource Constraint for Deep Neural Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Shangqian and Huang, Feihu and Pei, Jian and Huang, Heng},
title = {Discrete Model Compression With Resource Constraint for Deep Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GhostNet: More Features From Cheap Operations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Han_2020_CVPR,
author = {Han, Kai and Wang, Yunhe and Tian, Qi and Guo, Jianyuan and Xu, Chunjing and Xu, Chang},
title = {GhostNet: More Features From Cheap Operations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Yue and Ji, Dantong and Han, Zhizhong and Zwicker, Matthias},
title = {SDFDiff: Differentiable Rendering of Signed Distance Fields for 3D Shape Optimization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Quan_2020_CVPR,
author = {Quan, Yuhui and Chen, Mingqin and Pang, Tongyao and Ji, Hui},
title = {Self2Self With Dropout: Learning Self-Supervised Denoising From Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Yuyu and Bi, Lei and Ahn, Euijoon and Feng, Dagan and Wang, Qian and Kim, Jinman},
title = {A Spatiotemporal Volumetric Interpolation Network for 4D Dynamic Medical Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Yujiao and Yu, Xin and Campbell, Dylan and Li, Hongdong},
title = {Where Am I Looking At? Joint Location and Orientation Estimation by Cross-View Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Zhengyu and Liu, Zhuoran and Larson, Martha},
title = {Towards Large Yet Imperceptible Adversarial Image Perturbations With Perceptual Color Distance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Assessing Image Quality Issues for Real-World Problems-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chiu_2020_CVPR,
author = {Chiu, Tai-Yin and Zhao, Yinan and Gurari, Danna},
title = {Assessing Image Quality Issues for Real-World Problems},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Dilated Network With Self-Correction Supervision for Counting-
[pdf]
[supp]
[bibtex]@InProceedings{Bai_2020_CVPR,
author = {Bai, Shuai and He, Zhiqun and Qiao, Yu and Hu, Hanzhe and Wu, Wei and Yan, Junjie},
title = {Adaptive Dilated Network With Self-Correction Supervision for Counting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Camouflaged Object Detection-
[pdf]
[supp]
[dataset]
[bibtex]@InProceedings{Fan_2020_CVPR,
author = {Fan, Deng-Ping and Ji, Ge-Peng and Sun, Guolei and Cheng, Ming-Ming and Shen, Jianbing and Shao, Ling},
title = {Camouflaged Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Why Having 10,000 Parameters in Your Camera Model Is Better Than Twelve-
[pdf]
[supp]
[bibtex]@InProceedings{Schops_2020_CVPR,
author = {Schops, Thomas and Larsson, Viktor and Pollefeys, Marc and Sattler, Torsten},
title = {Why Having 10,000 Parameters in Your Camera Model Is Better Than Twelve},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BiDet: An Efficient Binarized Object Detector-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Ziwei and Wu, Ziyi and Lu, Jiwen and Zhou, Jie},
title = {BiDet: An Efficient Binarized Object Detector},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Searching for Actions on the Hyperbole-
[pdf]
[supp]
[bibtex]@InProceedings{Long_2020_CVPR,
author = {Long, Teng and Mettes, Pascal and Shen, Heng Tao and Snoek, Cees G. M.},
title = {Searching for Actions on the Hyperbole},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Dai_2020_CVPR,
author = {Dai, Angela and Diller, Christian and Niessner, Matthias},
title = {SG-NN: Sparse Generative Neural Networks for Self-Supervised Scene Completion of RGB-D Scans},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery-
[pdf]
[supp]
[bibtex]@InProceedings{Cao_2020_CVPR,
author = {Cao, Xu and Waechter, Michael and Shi, Boxin and Gao, Ye and Zheng, Bo and Matsushita, Yasuyuki},
title = {Stereoscopic Flash and No-Flash Photography for Shape and Albedo Recovery},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Jiahua and Cong, Yang and Sun, Gan and Zhong, Bineng and Xu, Xiaowei},
title = {What Can Be Transferred: Unsupervised Domain Adaptation for Endoscopic Lesions Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Generate 3D Training Data Through Hybrid Gradient-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Dawei and Deng, Jia},
title = {Learning to Generate 3D Training Data Through Hybrid Gradient},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner-
[pdf]
[bibtex]@InProceedings{Schmitt_2020_CVPR,
author = {Schmitt, Carolin and Donne, Simon and Riegler, Gernot and Koltun, Vladlen and Geiger, Andreas},
title = {On Joint Estimation of Pose, Geometry and svBRDF From a Handheld Scanner},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Synchronizing Probability Measures on Rotations via Optimal Transport-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Birdal_2020_CVPR,
author = {Birdal, Tolga and Arbel, Michael and Simsekli, Umut and Guibas, Leonidas J.},
title = {Synchronizing Probability Measures on Rotations via Optimal Transport},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Camera Trace Erasing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Chang and Xiong, Zhiwei and Liu, Xiaoming and Wu, Feng},
title = {Camera Trace Erasing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust 3D Self-Portraits in Seconds-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Zhe and Yu, Tao and Pan, Chuanyu and Zheng, Zerong and Liu, Yebin},
title = {Robust 3D Self-Portraits in Seconds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Instance Shadow Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Tianyu and Hu, Xiaowei and Wang, Qiong and Heng, Pheng-Ann and Fu, Chi-Wing},
title = {Instance Shadow Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning-
[pdf]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Peiye and Wu, Bo and Ma, Huadong and Seok, Mingoo},
title = {MemNAS: Memory-Efficient Neural Architecture Search With Grow-Trim Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Distance Transform for Tubular Structure Segmentation in CT Scans-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yan and Wei, Xu and Liu, Fengze and Chen, Jieneng and Zhou, Yuyin and Shen, Wei and Fishman, Elliot K. and Yuille, Alan L.},
title = {Deep Distance Transform for Tubular Structure Segmentation in CT Scans},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Shao_2020_CVPR,
author = {Shao, Dian and Zhao, Yue and Dai, Bo and Lin, Dahua},
title = {FineGym: A Hierarchical Video Dataset for Fine-Grained Action Understanding},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What Does Plate Glass Reveal About Camera Calibration?-
[pdf]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Qian and Chen, Jinnan and Lu, Zhan and Shi, Boxin and Jiang, Xudong and Yap, Kim-Hui and Duan, Ling-Yu and Kot, Alex C.},
title = {What Does Plate Glass Reveal About Camera Calibration?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Xiao_2020_CVPR,
author = {Xiao, Chang and Zheng, Changxi},
title = {One Man's Trash Is Another Man's Treasure: Resisting Adversarial Examples by Adversarial Examples},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Image Processing Using Multi-Code GAN Prior-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gu_2020_CVPR,
author = {Gu, Jinjin and Shen, Yujun and Zhou, Bolei},
title = {Image Processing Using Multi-Code GAN Prior},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ColorFool: Semantic Adversarial Colorization-
[pdf]
[supp]
[bibtex]@InProceedings{Shamsabadi_2020_CVPR,
author = {Shamsabadi, Ali Shahin and Sanchez-Matilla, Ricardo and Cavallaro, Andrea},
title = {ColorFool: Semantic Adversarial Colorization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bi3D: Stereo Depth Estimation via Binary Classifications-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Badki_2020_CVPR,
author = {Badki, Abhishek and Troccoli, Alejandro and Kim, Kihwan and Kautz, Jan and Sen, Pradeep and Gallo, Orazio},
title = {Bi3D: Stereo Depth Estimation via Binary Classifications},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Nan and von Stumberg, Lukas and Wang, Rui and Cremers, Daniel},
title = {D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Ming and Chen, Shi and Yang, Jinhui and Zhao, Qi},
title = {Fantastic Answers and Where to Find Them: Immersive Question-Directed Visual Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Maosen and Chen, Siheng and Zhao, Yangheng and Zhang, Ya and Wang, Yanfeng and Tian, Qi},
title = {Dynamic Multiscale Graph Neural Networks for 3D Skeleton Based Human Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Nie_2020_CVPR,
author = {Nie, Yinyu and Han, Xiaoguang and Guo, Shihui and Zheng, Yujian and Chang, Jian and Zhang, Jian Jun},
title = {Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GPS-Net: Graph Property Sensing Network for Scene Graph Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Xin and Ding, Changxing and Zeng, Jinquan and Tao, Dacheng},
title = {GPS-Net: Graph Property Sensing Network for Scene Graph Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Zhengqin and Yeh, Yu-Ying and Chandraker, Manmohan},
title = {Through the Looking Glass: Neural 3D Reconstruction of Transparent Shapes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Recursive Social Behavior Graph for Trajectory Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Jianhua and Jiang, Qinhong and Lu, Cewu},
title = {Recursive Social Behavior Graph for Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attention Scaling for Crowd Counting-
[pdf]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Xiaoheng and Zhang, Li and Xu, Mingliang and Zhang, Tianzhu and Lv, Pei and Zhou, Bing and Yang, Xin and Pang, Yanwei},
title = {Attention Scaling for Crowd Counting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FocalMix: Semi-Supervised Learning for 3D Medical Image Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Dong and Zhang, Yuan and Zhang, Kexin and Wang, Liwei},
title = {FocalMix: Semi-Supervised Learning for 3D Medical Image Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bi-Directional Relationship Inferring Network for Referring Image Segmentation-
[pdf]
[video]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Zhiwei and Feng, Guang and Sun, Jiayu and Zhang, Lihe and Lu, Huchuan},
title = {Bi-Directional Relationship Inferring Network for Referring Image Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tassano_2020_CVPR,
author = {Tassano, Matias and Delon, Julie and Veit, Thomas},
title = {FastDVDnet: Towards Real-Time Deep Video Denoising Without Flow Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Composed Query Image Retrieval Using Locally Bounded Features-
[pdf]
[bibtex]@InProceedings{Hosseinzadeh_2020_CVPR,
author = {Hosseinzadeh, Mehrdad and Wang, Yang},
title = {Composed Query Image Retrieval Using Locally Bounded Features},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring-
[pdf]
[supp]
[bibtex]@InProceedings{Nan_2020_CVPR,
author = {Nan, Yuesong and Quan, Yuhui and Ji, Hui},
title = {Variational-EM-Based Deep Learning for Noise-Blind Image Deblurring},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Central Similarity Quantization for Efficient Image and Video Retrieval-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2020_CVPR,
author = {Yuan, Li and Wang, Tao and Zhang, Xiaopeng and Tay, Francis EH and Jie, Zequn and Liu, Wei and Feng, Jiashi},
title = {Central Similarity Quantization for Efficient Image and Video Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Taking a Deeper Look at Co-Salient Object Detection-
[pdf]
[supp]
[dataset]
[bibtex]@InProceedings{Fan_2020_CVPR,
author = {Fan, Deng-Ping and Lin, Zheng and Ji, Ge-Peng and Zhang, Dingwen and Fu, Huazhu and Cheng, Ming-Ming},
title = {Taking a Deeper Look at Co-Salient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics-
[pdf]
[dataset]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yuezun and Yang, Xin and Sun, Pu and Qi, Honggang and Lyu, Siwei},
title = {Celeb-DF: A Large-Scale Challenging Dataset for DeepFake Forensics},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TEA: Temporal Excitation and Aggregation for Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yan and Ji, Bin and Shi, Xintian and Zhang, Jianguo and Kang, Bin and Wang, Limin},
title = {TEA: Temporal Excitation and Aggregation for Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Person Re-Identification via Softened Similarity Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Yutian and Xie, Lingxi and Wu, Yu and Yan, Chenggang and Tian, Qi},
title = {Unsupervised Person Re-Identification via Softened Similarity Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Frequency Domain Compact 3D Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Hanting and Wang, Yunhe and Shu, Han and Tang, Yehui and Xu, Chunjing and Shi, Boxin and Xu, Chao and Tian, Qi and Xu, Chang},
title = {Frequency Domain Compact 3D Convolutional Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jia_2020_CVPR,
author = {Jia, Sen and Bruce, Neil D. B.},
title = {Revisiting Saliency Metrics: Farthest-Neighbor Area Under Curve},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structured Compression by Weight Encryption for Unstructured Pruning and Quantization-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Kwon_2020_CVPR,
author = {Kwon, Se Jung and Lee, Dongsoo and Kim, Byeongwook and Kapoor, Parichay and Park, Baeseong and Wei, Gu-Yeon},
title = {Structured Compression by Weight Encryption for Unstructured Pruning and Quantization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ARCH: Animatable Reconstruction of Clothed Humans-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Zeng and Xu, Yuanlu and Lassner, Christoph and Li, Hao and Tung, Tony},
title = {ARCH: Animatable Reconstruction of Clothed Humans},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Implicit Volume Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2020_CVPR,
author = {Tang, Danhang and Singh, Saurabh and Chou, Philip A. and Hane, Christian and Dou, Mingsong and Fanello, Sean and Taylor, Jonathan and Davidson, Philip and Guleryuz, Onur G. and Zhang, Yinda and Izadi, Shahram and Tagliasacchi, Andrea and Bouaziz, Sofien and Keskin, Cem},
title = {Deep Implicit Volume Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Domain Learning for Accurate and Few-Shot Color Constancy-
[pdf]
[bibtex]@InProceedings{Xiao_2020_CVPR,
author = {Xiao, Jin and Gu, Shuhang and Zhang, Lei},
title = {Multi-Domain Learning for Accurate and Few-Shot Color Constancy},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Computing the Testing Error Without a Testing Set-
[pdf]
[arXiv]
[bibtex]@InProceedings{Corneanu_2020_CVPR,
author = {Corneanu, Ciprian A. and Escalera, Sergio and Martinez, Aleix M.},
title = {Computing the Testing Error Without a Testing Set},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Conditional Channel Gated Networks for Task-Aware Continual Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abati_2020_CVPR,
author = {Abati, Davide and Tomczak, Jakub and Blankevoort, Tijmen and Calderara, Simone and Cucchiara, Rita and Bejnordi, Babak Ehteshami},
title = {Conditional Channel Gated Networks for Task-Aware Continual Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Polishing Decision-Based Adversarial Noise With a Customized Sampling-
[pdf]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Yucheng and Han, Yahong and Tian, Qi},
title = {Polishing Decision-Based Adversarial Noise With a Customized Sampling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Wei and Jia, Xi and Chang, Hyung Jin and Duan, Jinming and Leonardis, Ales},
title = {G2L-Net: Global to Local Network for Real-Time 6D Pose Estimation With Embedding Vector Features},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Pattern-Structure Diffusion for Multi-Task Learning-
[pdf]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Ling and Cui, Zhen and Xu, Chunyan and Zhang, Zhenyu and Wang, Chaoqun and Zhang, Tong and Yang, Jian},
title = {Pattern-Structure Diffusion for Multi-Task Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On the Acceleration of Deep Learning Model Parallelism With Staleness-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, An and Huo, Zhouyuan and Huang, Heng},
title = {On the Acceleration of Deep Learning Model Parallelism With Staleness},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Scene De-Occlusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhan_2020_CVPR,
author = {Zhan, Xiaohang and Pan, Xingang and Dai, Bo and Liu, Ziwei and Lin, Dahua and Loy, Chen Change},
title = {Self-Supervised Scene De-Occlusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Jian and Zhang, Miaomiao},
title = {DeepFLASH: An Efficient Network for Learning-Based Medical Image Registration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Hong Joo and Kim, Jung Uk and Lee, Sangmin and Kim, Hak Gu and Ro, Yong Man},
title = {Structure Boundary Preserving Segmentation for Medical Image With Ambiguous Boundary},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Residual Feature Aggregation Network for Image Super-Resolution-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Jie and Zhang, Wenjie and Tang, Yuting and Tang, Jie and Wu, Gangshan},
title = {Residual Feature Aggregation Network for Image Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context-Aware and Scale-Insensitive Temporal Repetition Counting-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Huaidong and Xu, Xuemiao and Han, Guoqiang and He, Shengfeng},
title = {Context-Aware and Scale-Insensitive Temporal Repetition Counting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DEPARA: Deep Attribution Graph for Deep Knowledge Transferability-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2020_CVPR,
author = {Song, Jie and Chen, Yixin and Ye, Jingwen and Wang, Xinchao and Shen, Chengchao and Mao, Feng and Song, Mingli},
title = {DEPARA: Deep Attribution Graph for Deep Knowledge Transferability},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Ziyu and Zhang, Hongwen and Chen, Zhenghao and Wang, Zhiyong and Ouyang, Wanli},
title = {Disentangling and Unifying Graph Convolutions for Skeleton-Based Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Category-Level Articulated Object Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xiaolong and Wang, He and Yi, Li and Guibas, Leonidas J. and Abbott, A. Lynn and Song, Shuran},
title = {Category-Level Articulated Object Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2020_CVPR,
author = {Qi, Charles R. and Chen, Xinlei and Litany, Or and Guibas, Leonidas J.},
title = {ImVoteNet: Boosting 3D Object Detection in Point Clouds With Image Votes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Gowal_2020_CVPR,
author = {Gowal, Sven and Qin, Chongli and Huang, Po-Sen and Cemgil, Taylan and Dvijotham, Krishnamurthy and Mann, Timothy and Kohli, Pushmeet},
title = {Achieving Robustness in the Wild via Adversarial Mixing With Disentangled Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Non-Line-of-Sight Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chopite_2020_CVPR,
author = {Grau Chopite, Javier and Hullin, Matthias B. and Wand, Michael and Iseringhausen, Julian},
title = {Deep Non-Line-of-Sight Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Lei and Nie, Jiangtao and Wei, Wei and Zhang, Yanning and Liao, Shengcai and Shao, Ling},
title = {Unsupervised Adaptation Learning for Hyperspectral Imagery Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Demosaicing and Denoising With Self Guidance-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Lin and Jia, Xu and Liu, Jianzhuang and Tian, Qi},
title = {Joint Demosaicing and Denoising With Self Guidance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds-
[pdf]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Hanyu and Lin, Guosheng and Wang, Hao and Hung, Tzu-Yi and Wang, Zhenhua},
title = {SpSequenceNet: Semantic Segmentation Network on 4D Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Wanyu and Gao, Zhaolin and Li, Baochun},
title = {Shoestring: Graph-Based Semi-Supervised Classification With Severely Limited Labeled Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distilling Image Dehazing With Heterogeneous Task Imitation-
[pdf]
[bibtex]@InProceedings{Hong_2020_CVPR,
author = {Hong, Ming and Xie, Yuan and Li, Cuihua and Qu, Yanyun},
title = {Distilling Image Dehazing With Heterogeneous Task Imitation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Photometric Stereo via Discrete Hypothesis-and-Test Search-
[pdf]
[supp]
[bibtex]@InProceedings{Enomoto_2020_CVPR,
author = {Enomoto, Kenji and Waechter, Michael and Kutulakos, Kiriakos N. and Matsushita, Yasuyuki},
title = {Photometric Stereo via Discrete Hypothesis-and-Test Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Choi_2020_CVPR,
author = {Choi, Sungjoon and Hong, Sanghoon and Lee, Kyungjae and Lim, Sungbin},
title = {Task Agnostic Robust Learning on Corrupt Outputs by Correlation-Guided Mixture Density Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Jiacheng and Lin, Guosheng and Yap, Kim-Hui and Hung, Tzu-Yi and Xie, Lihua},
title = {Multi-Path Region Mining for Weakly Supervised 3D Semantic Segmentation on Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-Step Adversarial Training With Dropout Scheduling-
[pdf]
[supp]
[bibtex]@InProceedings{B.S._2020_CVPR,
author = {B.S., Vivek and Babu, R. Venkatesh},
title = {Single-Step Adversarial Training With Dropout Scheduling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Online Depth Learning Against Forgetting in Monocular Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zhenyu and Lathuiliere, Stephane and Ricci, Elisa and Sebe, Nicu and Yan, Yan and Yang, Jian},
title = {Online Depth Learning Against Forgetting in Monocular Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neuromorphic Camera Guided High Dynamic Range Imaging-
[pdf]
[supp]
[bibtex]@InProceedings{Han_2020_CVPR,
author = {Han, Jin and Zhou, Chu and Duan, Peiqi and Tang, Yehui and Xu, Chang and Xu, Chao and Huang, Tiejun and Shi, Boxin},
title = {Neuromorphic Camera Guided High Dynamic Range Imaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Cai_2020_CVPR,
author = {Cai, Ming and Reid, Ian},
title = {Reconstruct Locally, Localize Globally: A Model Free Method for Object Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution-
[pdf]
[supp]
[bibtex]@InProceedings{Nan_2020_CVPR,
author = {Nan, Yuesong and Ji, Hui},
title = {Deep Learning for Handling Kernel/model Uncertainty in Image Deconvolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Rui and Geraghty, David and Matzen, Kevin and Szeliski, Richard and Frahm, Jan-Michael},
title = {VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Intra- and Inter-Action Understanding via Temporal Action Parsing-
[pdf]
[supp]
[bibtex]@InProceedings{Shao_2020_CVPR,
author = {Shao, Dian and Zhao, Yue and Dai, Bo and Lin, Dahua},
title = {Intra- and Inter-Action Understanding via Temporal Action Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Graph-Guided Architecture Search for Real-Time Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Peiwen and Sun, Peng and Cheng, Guangliang and Xie, Sirui and Li, Xi and Shi, Jianping},
title = {Graph-Guided Architecture Search for Real-Time Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Polarized Reflection Removal With Perfect Alignment in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lei_2020_CVPR,
author = {Lei, Chenyang and Huang, Xuhua and Zhang, Mengdi and Yan, Qiong and Sun, Wenxiu and Chen, Qifeng},
title = {Polarized Reflection Removal With Perfect Alignment in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Blur Aware Calibration of Multi-Focus Plenoptic Camera-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Labussiere_2020_CVPR,
author = {Labussiere, Mathieu and Teuliere, Celine and Bernardin, Frederic and Ait-Aider, Omar},
title = {Blur Aware Calibration of Multi-Focus Plenoptic Camera},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction-
[pdf]
[supp]
[bibtex]@InProceedings{Meuleman_2020_CVPR,
author = {Meuleman, Andreas and Baek, Seung-Hwan and Heide, Felix and Kim, Min H.},
title = {Single-Shot Monocular RGB-D Imaging Using Uneven Double Refraction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Bergmann_2020_CVPR,
author = {Bergmann, Paul and Fauser, Michael and Sattlegger, David and Steger, Carsten},
title = {Uninformed Students: Student-Teacher Anomaly Detection With Discriminative Latent Embeddings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Restore Low-Light Images via Decomposition-and-Enhancement-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Ke and Yang, Xin and Yin, Baocai and Lau, Rynson W.H.},
title = {Learning to Restore Low-Light Images via Decomposition-and-Enhancement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HRank: Filter Pruning Using High-Rank Feature Map-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Mingbao and Ji, Rongrong and Wang, Yan and Zhang, Yichen and Zhang, Baochang and Tian, Yonghong and Shao, Ling},
title = {HRank: Filter Pruning Using High-Rank Feature Map},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AANet: Adaptive Aggregation Network for Efficient Stereo Matching-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Haofei and Zhang, Juyong},
title = {AANet: Adaptive Aggregation Network for Efficient Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unbiased Scene Graph Generation From Biased Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2020_CVPR,
author = {Tang, Kaihua and Niu, Yulei and Huang, Jianqiang and Shi, Jiaxin and Zhang, Hanwang},
title = {Unbiased Scene Graph Generation From Biased Training},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Semi-Supervised Assessor of Neural Architectures-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tang_2020_CVPR,
author = {Tang, Yehui and Wang, Yunhe and Xu, Yixing and Chen, Hanting and Shi, Boxin and Xu, Chao and Xu, Chunjing and Tian, Qi and Xu, Chang},
title = {A Semi-Supervised Assessor of Neural Architectures},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Proxy Anchor Loss for Deep Metric Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Sungyeon and Kim, Dongwon and Cho, Minsu and Kwak, Suha},
title = {Proxy Anchor Loss for Deep Metric Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kolouri_2020_CVPR,
author = {Kolouri, Soheil and Saha, Aniruddha and Pirsiavash, Hamed and Hoffmann, Heiko},
title = {Universal Litmus Patterns: Revealing Backdoor Attacks in CNNs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Rundi and Zhuang, Yixin and Xu, Kai and Zhang, Hao and Chen, Baoquan},
title = {PQ-NET: A Generative Part Seq2Seq Network for 3D Shapes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Extreme Relative Pose Network Under Hybrid Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Zhenpei and Yan, Siming and Huang, Qixing},
title = {Extreme Relative Pose Network Under Hybrid Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yu-Lun and Lai, Wei-Sheng and Chen, Yu-Sheng and Kao, Yi-Lung and Yang, Ming-Hsuan and Chuang, Yung-Yu and Huang, Jia-Bin},
title = {Single-Image HDR Reconstruction by Learning to Reverse the Camera Pipeline},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations-
[pdf]
[supp]
[arXiv]
[video]
[dataset]
[bibtex]@InProceedings{Dolhasz_2020_CVPR,
author = {Dolhasz, Alan and Harvey, Carlo and Williams, Ian},
title = {Learning to Observe: Approximating Human Perceptual Thresholds for Detection of Suprathreshold Image Transformations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MEBOW: Monocular Estimation of Body Orientation in the Wild-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Chenyan and Chen, Yukun and Luo, Jiajia and Su, Che-Chun and Dawane, Anuja and Hanzra, Bikramjot and Deng, Zhuo and Liu, Bilan and Wang, James Z. and Kuo, Cheng-hao},
title = {MEBOW: Monocular Estimation of Body Orientation in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Depth Sensing Beyond LiDAR Range-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Kai and Xie, Jiaxin and Snavely, Noah and Chen, Qifeng},
title = {Depth Sensing Beyond LiDAR Range},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yao_2020_CVPR,
author = {Yao, Yao and Luo, Zixin and Li, Shiwei and Zhang, Jingyang and Ren, Yufan and Zhou, Lei and Fang, Tian and Quan, Long},
title = {BlendedMVS: A Large-Scale Dataset for Generalized Multi-View Stereo Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Hong_2020_CVPR,
author = {Hong, Fa-Ting and Li, Wei-Hong and Zheng, Wei-Shi},
title = {Learning to Detect Important People in Unlabelled Images for Semi-Supervised Important People Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fixed-Point Back-Propagation Training-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Xishan and Liu, Shaoli and Zhang, Rui and Liu, Chang and Huang, Di and Zhou, Shiyi and Guo, Jiaming and Guo, Qi and Du, Zidong and Zhi, Tian and Chen, Yunji},
title = {Fixed-Point Back-Propagation Training},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Zero-Assignment Constraint for Graph Matching With Outliers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Fudong and Xue, Nan and Yu, Jin-Gang and Xia, Gui-Song},
title = {Zero-Assignment Constraint for Graph Matching With Outliers},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild"-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lattas_2020_CVPR,
author = {Lattas, Alexandros and Moschoglou, Stylianos and Gecer, Baris and Ploumpis, Stylianos and Triantafyllou, Vasileios and Ghosh, Abhijeet and Zafeiriou, Stefanos},
title = {AvatarMe: Realistically Renderable 3D Facial Reconstruction "In-the-Wild"},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generalized Product Quantization Network for Semi-Supervised Image Retrieval-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Jang_2020_CVPR,
author = {Jang, Young Kyun and Cho, Nam Ik},
title = {Generalized Product Quantization Network for Semi-Supervised Image Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Extremely Dense Point Correspondences Using a Learned Feature Descriptor-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Xingtong and Zheng, Yiping and Killeen, Benjamin and Ishii, Masaru and Hager, Gregory D. and Taylor, Russell H. and Unberath, Mathias},
title = {Extremely Dense Point Correspondences Using a Learned Feature Descriptor},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Gate-Shift Networks for Video Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sudhakaran_2020_CVPR,
author = {Sudhakaran, Swathikiran and Escalera, Sergio and Lanz, Oswald},
title = {Gate-Shift Networks for Video Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CRNet: Cross-Reference Networks for Few-Shot Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Weide and Zhang, Chi and Lin, Guosheng and Liu, Fayao},
title = {CRNet: Cross-Reference Networks for Few-Shot Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Space-Time-Aware Multi-Resolution Video Enhancement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Haris_2020_CVPR,
author = {Haris, Muhammad and Shakhnarovich, Greg and Ukita, Norimichi},
title = {Space-Time-Aware Multi-Resolution Video Enhancement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Da and Dai, Xiyang and Wang, Yuan-Fang},
title = {METAL: Minimum Effort Temporal Activity Localization in Untrimmed Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Image Demoireing with Learnable Bandpass Filters-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Bolun and Yuan, Shanxin and Slabaugh, Gregory and Leonardis, Ales},
title = {Image Demoireing with Learnable Bandpass Filters},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Active Vision for Early Recognition of Human Actions-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Boyu and Huang, Lihan and Hoai, Minh},
title = {Active Vision for Early Recognition of Human Actions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly-Supervised Action Localization by Generative Attention Modeling-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Baifeng and Dai, Qi and Mu, Yadong and Wang, Jingdong},
title = {Weakly-Supervised Action Localization by Generative Attention Modeling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Lanqing and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Unsupervised Domain Adaptation With Hierarchical Gradient Synchronization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Paschalidou_2020_CVPR,
author = {Paschalidou, Despoina and Van Gool, Luc and Geiger, Andreas},
title = {Learning Unsupervised Hierarchical Part Decomposition of 3D Objects From a Single RGB Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Jin_2020_CVPR,
author = {Jin, Jing and Hou, Junhui and Chen, Jie and Kwong, Sam},
title = {Light Field Spatial Super-Resolution via Deep Combinatorial Geometry Embedding and Structural Consistency Regularization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Auto-Encoding Twin-Bottleneck Hashing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shen_2020_CVPR,
author = {Shen, Yuming and Qin, Jie and Chen, Jiaxin and Yu, Mengyang and Liu, Li and Zhu, Fan and Shen, Fumin and Shao, Ling},
title = {Auto-Encoding Twin-Bottleneck Hashing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Super Resolve Intensity Images From Events-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{I._2020_CVPR,
author = {I., S. Mohammad Mostafavi and Choi, Jonghyun and Yoon, Kuk-Jin},
title = {Learning to Super Resolve Intensity Images From Events},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction-
[pdf]
[supp]
[arXiv]
[video]
[dataset]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Haotian and Zhu, Hao and Wang, Yanru and Huang, Mingkai and Shen, Qiu and Yang, Ruigang and Cao, Xun},
title = {FaceScape: A Large-Scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Long and Ai, Haizhou and Chen, Rui and Zhuang, Zijie and Liu, Shuang},
title = {Cross-View Tracking for Multi-Human 3D Pose Estimation at Over 100 FPS},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ADINet: Attribute Driven Incremental Network for Retinal Image Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Meng_2020_CVPR,
author = {Meng, Qier and Shin'ichi, Satoh},
title = {ADINet: Attribute Driven Incremental Network for Retinal Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Zhuo and Zhong, Yanfei and Wang, Junjue and Ma, Ailong},
title = {Foreground-Aware Relation Network for Geospatial Object Segmentation in High Spatial Resolution Remote Sensing Imagery},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-View View Synthesis With Multiplane Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tucker_2020_CVPR,
author = {Tucker, Richard and Snavely, Noah},
title = {Single-View View Synthesis With Multiplane Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Select, Supplement and Focus for RGB-D Saliency Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Miao and Ren, Weisong and Piao, Yongri and Rong, Zhengkun and Lu, Huchuan},
title = {Select, Supplement and Focus for RGB-D Saliency Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Cui_2020_CVPR,
author = {Cui, Shuhao and Wang, Shuhui and Zhuo, Junbao and Li, Liang and Huang, Qingming and Tian, Qi},
title = {Towards Discriminability and Diversity: Batch Nuclear-Norm Maximization Under Label Insufficient Situations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yuxiang and An, Liang and Yu, Tao and Li, Xiu and Li, Kun and Liu, Yebin},
title = {4D Association Graph for Realtime Multi-Person Motion Capture Using Multiple Video Cameras},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Lijun and Zhang, Jianming and Wang, Oliver and Lin, Zhe and Lu, Huchuan},
title = {SDC-Depth: Semantic Divide-and-Conquer Network for Monocular Depth Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Meshlet Priors for 3D Mesh Reconstruction-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Badki_2020_CVPR,
author = {Badki, Abhishek and Gallo, Orazio and Kautz, Jan and Sen, Pradeep},
title = {Meshlet Priors for 3D Mesh Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Hongjun and Wang, Guangrun and Li, Ya and Zhang, Dongyu and Lin, Liang},
title = {Transferable, Controllable, and Inconspicuous Adversarial Attacks on Person Re-identification With Deep Mis-Ranking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
More Grounded Image Captioning by Distilling Image-Text Matching Model-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Yuanen and Wang, Meng and Liu, Daqing and Hu, Zhenzhen and Zhang, Hanwang},
title = {More Grounded Image Captioning by Distilling Image-Text Matching Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Hasson_2020_CVPR,
author = {Hasson, Yana and Tekin, Bugra and Bogo, Federica and Laptev, Ivan and Pollefeys, Marc and Schmid, Cordelia},
title = {Leveraging Photometric Consistency Over Time for Sparsely Supervised Hand-Object Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scene Recomposition by Learning-Based ICP-
[pdf]
[arXiv]
[bibtex]@InProceedings{Izadinia_2020_CVPR,
author = {Izadinia, Hamid and Seitz, Steven M.},
title = {Scene Recomposition by Learning-Based ICP},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection-
[pdf]
[video]
[bibtex]@InProceedings{Fu_2020_CVPR,
author = {Fu, Keren and Fan, Deng-Ping and Ji, Ge-Peng and Zhao, Qijun},
title = {JL-DCF: Joint Learning and Densely-Cooperative Fusion Framework for RGB-D Salient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Linchao and Yang, Yi},
title = {Inflated Episodic Memory With Region Self-Attention for Long-Tailed Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Select Base Classes for Few-Shot Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Linjun and Cui, Peng and Jia, Xu and Yang, Shiqiang and Tian, Qi},
title = {Learning to Select Base Classes for Few-Shot Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attention-Based Context Aware Reasoning for Situation Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Cooray_2020_CVPR,
author = {Cooray, Thilini and Cheung, Ngai-Man and Lu, Wei},
title = {Attention-Based Context Aware Reasoning for Situation Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Mohapatra_2020_CVPR,
author = {Mohapatra, Jeet and Weng, Tsui-Wei and Chen, Pin-Yu and Liu, Sijia and Daniel, Luca},
title = {Towards Verifying Robustness of Neural Networks Against A Family of Semantic Perturbations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Background Matting: The World Is Your Green Screen-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sengupta_2020_CVPR,
author = {Sengupta, Soumyadip and Jayaram, Vivek and Curless, Brian and Seitz, Steven M. and Kemelmacher-Shlizerman, Ira},
title = {Background Matting: The World Is Your Green Screen},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Simulate Dynamic Environments With GameGAN-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Seung Wook and Zhou, Yuhao and Philion, Jonah and Torralba, Antonio and Fidler, Sanja},
title = {Learning to Simulate Dynamic Environments With GameGAN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Sakaue_2020_CVPR,
author = {Sakaue, Fumihiko and Sato, Jun},
title = {Active 3D Motion Visualization Based on Spatiotemporal Light-Ray Integration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Dongdong and Li, Yandong and Wang, Liqiang and Gong, Boqing},
title = {Neural Networks Are More Productive Teachers Than Human Raters: Active Mixup for Data-Efficient Knowledge Distillation From a Blackbox Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Oops! Predicting Unintentional Action in Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Epstein_2020_CVPR,
author = {Epstein, Dave and Chen, Boyuan and Vondrick, Carl},
title = {Oops! Predicting Unintentional Action in Video},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Pengfei and Lan, Cuiling and Zeng, Wenjun and Xing, Junliang and Xue, Jianru and Zheng, Nanning},
title = {Semantics-Guided Neural Networks for Efficient Skeleton-Based Human Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Saehyung and Lee, Hyungyu and Yoon, Sungroh},
title = {Adversarial Vertex Mixup: Toward Better Adversarially Robust Generalization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Autofocus-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Herrmann_2020_CVPR,
author = {Herrmann, Charles and Bowen, Richard Strong and Wadhwa, Neal and Garg, Rahul and He, Qiurui and Barron, Jonathan T. and Zabih, Ramin},
title = {Learning to Autofocus},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Boosting the Transferability of Adversarial Samples via Attention-
[pdf]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Weibin and Su, Yuxin and Chen, Xixian and Zhao, Shenglin and King, Irwin and Lyu, Michael R. and Tai, Yu-Wing},
title = {Boosting the Transferability of Adversarial Samples via Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single Image Reflection Removal Through Cascaded Refinement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Chao and Yang, Yixiao and He, Kun and Lin, Stephen and Hopcroft, John E.},
title = {Single Image Reflection Removal Through Cascaded Refinement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distilled Semantics for Comprehensive Scene Understanding from Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tosi_2020_CVPR,
author = {Tosi, Fabio and Aleotti, Filippo and Ramirez, Pierluigi Zama and Poggi, Matteo and Salti, Samuele and Di Stefano, Luigi and Mattoccia, Stefano},
title = {Distilled Semantics for Comprehensive Scene Understanding from Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Dimensional Pruning: A Unified Framework for Model Compression-
[pdf]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Jinyang and Ouyang, Wanli and Xu, Dong},
title = {Multi-Dimensional Pruning: A Unified Framework for Model Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Varicolored Image De-Hazing-
[pdf]
[bibtex]@InProceedings{Dudhane_2020_CVPR,
author = {Dudhane, Akshay and Biradar, Kuldeep M. and Patil, Prashant W. and Hambarde, Praful and Murala, Subrahmanyam},
title = {Varicolored Image De-Hazing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Visually Imbalanced Stereo Matching-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yicun and Ren, Jimmy and Zhang, Jiawei and Liu, Jianbo and Lin, Mude},
title = {Visually Imbalanced Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Defending Against Model Stealing Attacks With Adaptive Misinformation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kariyappa_2020_CVPR,
author = {Kariyappa, Sanjay and Qureshi, Moinuddin K.},
title = {Defending Against Model Stealing Attacks With Adaptive Misinformation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semi-Supervised Learning for Few-Shot Image-to-Image Translation-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yaxing and Khan, Salman and Gonzalez-Garcia, Abel and van de Weijer, Joost and Khan, Fahad Shahbaz},
title = {Semi-Supervised Learning for Few-Shot Image-to-Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single Image Optical Flow Estimation With an Event Camera-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pan_2020_CVPR,
author = {Pan, Liyuan and Liu, Miaomiao and Hartley, Richard},
title = {Single Image Optical Flow Estimation With an Event Camera},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Huynh_2020_CVPR,
author = {Huynh, Dat and Elhamifar, Ehsan},
title = {Fine-Grained Generalized Zero-Shot Learning via Dense Attribute-Based Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Solving Jigsaw Puzzles With Eroded Boundaries-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bridger_2020_CVPR,
author = {Bridger, Dov and Danon, Dov and Tal, Ayellet},
title = {Solving Jigsaw Puzzles With Eroded Boundaries},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Qilin and Tseng, Ethan and Fu, Qiang and Heidrich, Wolfgang and Heide, Felix},
title = {Learning Rank-1 Diffractive Optics for Single-Shot High Dynamic Range Imaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Universal Source-Free Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kundu_2020_CVPR,
author = {Kundu, Jogendra Nath and Venkat, Naveen and V, Rahul M and Babu, R. Venkatesh},
title = {Universal Source-Free Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Meta-Transfer Learning for Zero-Shot Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Soh_2020_CVPR,
author = {Soh, Jae Woong and Cho, Sunwoo and Cho, Nam Ik},
title = {Meta-Transfer Learning for Zero-Shot Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Model-Driven Deep Neural Network for Single Image Rain Removal-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Hong and Xie, Qi and Zhao, Qian and Meng, Deyu},
title = {A Model-Driven Deep Neural Network for Single Image Rain Removal},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution-
[pdf]
[video]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Yu and Yang, Fan and Fang, Yuqi and Liu, Hailing and Zhou, Niyun and Zhang, Jun and Sun, Jiarui and Yang, Sen and Menze, Bjoern and Fan, Xinjuan and Yao, Jianhua},
title = {Predicting Lymph Node Metastasis Using Histopathological Images Based on Multiple Instance Learning With Deep Graph Convolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
APQ: Joint Search for Network Architecture, Pruning and Quantization Policy-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Tianzhe and Wang, Kuan and Cai, Han and Lin, Ji and Liu, Zhijian and Wang, Hanrui and Lin, Yujun and Han, Song},
title = {APQ: Joint Search for Network Architecture, Pruning and Quantization Policy},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SSRNet: Scalable 3D Surface Reconstruction Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mi_2020_CVPR,
author = {Mi, Zhenxing and Luo, Yiming and Tao, Wenbing},
title = {SSRNet: Scalable 3D Surface Reconstruction Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantic Correspondence as an Optimal Transport Problem-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yanbin and Zhu, Linchao and Yamada, Makoto and Yang, Yi},
title = {Semantic Correspondence as an Optimal Transport Problem},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Improving Confidence Estimates for Unfamiliar Examples-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Zhizhong and Hoiem, Derek},
title = {Improving Confidence Estimates for Unfamiliar Examples},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Generative Models of Shape Handles-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gadelha_2020_CVPR,
author = {Gadelha, Matheus and Gori, Giorgio and Ceylan, Duygu and Mech, Radomir and Carr, Nathan and Boubekeur, Tamy and Wang, Rui and Maji, Subhransu},
title = {Learning Generative Models of Shape Handles},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Toward a Universal Model for Shape From Texture-
[pdf]
[supp]
[bibtex]@InProceedings{Verbin_2020_CVPR,
author = {Verbin, Dor and Zickler, Todd},
title = {Toward a Universal Model for Shape From Texture},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Stochastic Sparse Subspace Clustering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Ying and Li, Chun-Guang and You, Chong},
title = {Stochastic Sparse Subspace Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Jeddi_2020_CVPR,
author = {Jeddi, Ahmadreza and Shafiee, Mohammad Javad and Karg, Michelle and Scharfenberger, Christian and Wong, Alexander},
title = {Learn2Perturb: An End-to-End Feature Perturbation Learning to Improve Adversarial Robustness},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yasarla_2020_CVPR,
author = {Yasarla, Rajeev and Sindagi, Vishwanath A. and Patel, Vishal M.},
title = {Syn2Real Transfer Learning for Image Deraining Using Gaussian Processes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Yue and Wu, Yuwei and Chen, Caihua and Lim, Andrew},
title = {On Isometry Robustness of Deep 3D Point Cloud Models Under Adversarial Attacks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Viewpoint Learning From Image Collections-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mustikovela_2020_CVPR,
author = {Mustikovela, Siva Karthik and Jampani, Varun and De Mello, Shalini and Liu, Sifei and Iqbal, Umar and Rother, Carsten and Kautz, Jan},
title = {Self-Supervised Viewpoint Learning From Image Collections},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On the Uncertainty of Self-Supervised Monocular Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Poggi_2020_CVPR,
author = {Poggi, Matteo and Aleotti, Filippo and Tosi, Fabio and Mattoccia, Stefano},
title = {On the Uncertainty of Self-Supervised Monocular Depth Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
StegaStamp: Invisible Hyperlinks in Physical Photographs-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tancik_2020_CVPR,
author = {Tancik, Matthew and Mildenhall, Ben and Ng, Ren},
title = {StegaStamp: Invisible Hyperlinks in Physical Photographs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Anisotropic Convolutional Networks for 3D Semantic Scene Completion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Jie and Han, Kai and Wang, Peng and Liu, Yu and Yuan, Xia},
title = {Anisotropic Convolutional Networks for 3D Semantic Scene Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Have an Ear for Face Super-Resolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Meishvili_2020_CVPR,
author = {Meishvili, Givi and Jenni, Simon and Favaro, Paolo},
title = {Learning to Have an Ear for Face Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cascaded Refinement Network for Point Cloud Completion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Xiaogang and Ang, Jr., Marcelo H. and Lee, Gim Hee},
title = {Cascaded Refinement Network for Point Cloud Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Islam_2020_CVPR,
author = {Islam, Ashraful and Long, Chengjiang and Basharat, Arslan and Hoogs, Anthony},
title = {DOA-GAN: Dual-Order Attentive Generative Adversarial Network for Image Copy-Move Forgery Detection and Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rotation Equivariant Graph Convolutional Network for Spherical Image Classification-
[pdf]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Qin and Li, Chenglin and Dai, Wenrui and Zou, Junni and Qi, Guo-Jun and Xiong, Hongkai},
title = {Rotation Equivariant Graph Convolutional Network for Spherical Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Composing Good Shots by Exploiting Mutual Relations-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Debang and Zhang, Junge and Huang, Kaiqi and Yang, Ming-Hsuan},
title = {Composing Good Shots by Exploiting Mutual Relations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Shaohui and Zhang, Yinda and Peng, Songyou and Shi, Boxin and Pollefeys, Marc and Cui, Zhaopeng},
title = {DIST: Rendering Deep Implicit Signed Distance Function With Differentiable Sphere Tracing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Progressive Relation Learning for Group Activity Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Guyue and Cui, Bo and He, Yuan and Yu, Shan},
title = {Progressive Relation Learning for Group Activity Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Boundary-Aware 3D Building Reconstruction From a Single Overhead Image-
[pdf]
[supp]
[bibtex]@InProceedings{Mahmud_2020_CVPR,
author = {Mahmud, Jisan and Price, True and Bapat, Akash and Frahm, Jan-Michael},
title = {Boundary-Aware 3D Building Reconstruction From a Single Overhead Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Formation of Physically-Based Face Attributes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Ruilong and Bladin, Karl and Zhao, Yajie and Chinara, Chinmay and Ingraham, Owen and Xiang, Pengda and Ren, Xinglei and Prasad, Pratusha and Kishore, Bipin and Xing, Jun and Li, Hao},
title = {Learning Formation of Physically-Based Face Attributes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Metric Learning via Adaptive Learnable Assessment-
[pdf]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Wenzhao and Lu, Jiwen and Zhou, Jie},
title = {Deep Metric Learning via Adaptive Learnable Assessment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Computer-Aided Tuberculosis Diagnosis-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yun and Wu, Yu-Huan and Ban, Yunfeng and Wang, Huifang and Cheng, Ming-Ming},
title = {Rethinking Computer-Aided Tuberculosis Diagnosis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Hengtong and Xie, Lingxi and Hong, Richang and Tian, Qi},
title = {Creating Something From Nothing: Unsupervised Knowledge Distillation for Cross-Modal Hashing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adversarial Examples Improve Image Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2020_CVPR,
author = {Xie, Cihang and Tan, Mingxing and Gong, Boqing and Wang, Jiang and Yuille, Alan L. and Le, Quoc V.},
title = {Adversarial Examples Improve Image Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tian_2020_CVPR,
author = {Tian, Yapeng and Zhang, Yulun and Fu, Yun and Xu, Chenliang},
title = {TDAN: Temporally-Deformable Alignment Network for Video Super-Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Retina-Like Visual Image Reconstruction via Spiking Neural Model-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Lin and Dong, Siwei and Li, Jianing and Huang, Tiejun and Tian, Yonghong},
title = {Retina-Like Visual Image Reconstruction via Spiking Neural Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Resolution Adaptive Networks for Efficient Inference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Le and Han, Yizeng and Chen, Xi and Song, Shiji and Dai, Jifeng and Huang, Gao},
title = {Resolution Adaptive Networks for Efficient Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Normal Assisted Stereo Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kusupati_2020_CVPR,
author = {Kusupati, Uday and Cheng, Shuo and Chen, Rui and Su, Hao},
title = {Normal Assisted Stereo Depth Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Zhengqin and Shafiei, Mohammad and Ramamoorthi, Ravi and Sunkavalli, Kalyan and Chandraker, Manmohan},
title = {Inverse Rendering for Complex Indoor Scenes: Shape, Spatially-Varying Lighting and SVBRDF From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Explorable Super Resolution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bahat_2020_CVPR,
author = {Bahat, Yuval and Michaeli, Tomer},
title = {Explorable Super Resolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Bo and Zhou, S. Kevin},
title = {DuDoRNet: Learning a Dual-Domain Recurrent Network for Fast MRI Reconstruction With Deep T1 Prior},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Dongnan and Zhang, Donghao and Song, Yang and Zhang, Fan and O'Donnell, Lauren and Huang, Heng and Chen, Mei and Cai, Weidong},
title = {Unsupervised Instance Segmentation in Microscopy Images via Panoptic Domain Adaptation and Task Re-Weighting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Heterogeneous Knowledge Distillation Using Information Flow Modeling-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Passalis_2020_CVPR,
author = {Passalis, Nikolaos and Tzelepi, Maria and Tefas, Anastasios},
title = {Heterogeneous Knowledge Distillation Using Information Flow Modeling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CARS: Continuous Evolution for Efficient Neural Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Zhaohui and Wang, Yunhe and Chen, Xinghao and Shi, Boxin and Xu, Chao and Xu, Chunjing and Tian, Qi and Xu, Chang},
title = {CARS: Continuous Evolution for Efficient Neural Architecture Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bi-Directional Interaction Network for Person Search-
[pdf]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Wenkai and Zhang, Zhaoxiang and Song, Chunfeng and Tan, Tieniu},
title = {Bi-Directional Interaction Network for Person Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ZSTAD: Zero-Shot Temporal Activity Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Lingling and Chang, Xiaojun and Liu, Jun and Luo, Minnan and Wang, Sen and Ge, Zongyuan and Hauptmann, Alexander},
title = {ZSTAD: Zero-Shot Temporal Activity Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unpaired Image Super-Resolution Using Pseudo-Supervision-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Maeda_2020_CVPR,
author = {Maeda, Shunta},
title = {Unpaired Image Super-Resolution Using Pseudo-Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Training Quantized Neural Networks With a Full-Precision Auxiliary Module-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhuang_2020_CVPR,
author = {Zhuang, Bohan and Liu, Lingqiao and Tan, Mingkui and Shen, Chunhua and Reid, Ian},
title = {Training Quantized Neural Networks With a Full-Precision Auxiliary Module},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ReSprop: Reuse Sparsified Backpropagation-
[pdf]
[bibtex]@InProceedings{Goli_2020_CVPR,
author = {Goli, Negar and Aamodt, Tor M.},
title = {ReSprop: Reuse Sparsified Backpropagation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Su_2020_CVPR,
author = {Su, Shaolin and Yan, Qingsen and Zhu, Yu and Zhang, Cheng and Ge, Xin and Sun, Jinqiu and Zhang, Yanning},
title = {Blindly Assess Image Quality in the Wild Guided by a Self-Adaptive Hyper Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bundle Adjustment on a Graph Processor-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ortiz_2020_CVPR,
author = {Ortiz, Joseph and Pupilli, Mark and Leutenegger, Stefan and Davison, Andrew J.},
title = {Bundle Adjustment on a Graph Processor},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-View Neural Human Rendering-
[pdf]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Minye and Wang, Yuehao and Hu, Qiang and Yu, Jingyi},
title = {Multi-View Neural Human Rendering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Johnston_2020_CVPR,
author = {Johnston, Adrian and Carneiro, Gustavo},
title = {Self-Supervised Monocular Trained Depth Estimation Using Self-Attention and Discrete Disparity Volume},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Zihao W. and Duan, Peiqi and Cossairt, Oliver and Katsaggelos, Aggelos and Huang, Tiejun and Shi, Boxin},
title = {Joint Filtering of Intensity Images and Neuromorphic Events for High-Resolution Noise-Robust Imaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Haichuan and Gui, Shupeng and Zhu, Yuhao and Liu, Ji},
title = {Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-Based Approach},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
When2com: Multi-Agent Perception via Communication Graph Grouping-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yen-Cheng and Tian, Junjiao and Glaser, Nathaniel and Kira, Zsolt},
title = {When2com: Multi-Agent Perception via Communication Graph Grouping},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MAGSAC++, a Fast, Reliable and Accurate Robust Estimator-
[pdf]
[supp]
[bibtex]@InProceedings{Barath_2020_CVPR,
author = {Barath, Daniel and Noskova, Jana and Ivashechkin, Maksym and Matas, Jiri},
title = {MAGSAC++, a Fast, Reliable and Accurate Robust Estimator},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Dazhou and Jin, Dakai and Zhu, Zhuotun and Ho, Tsung-Ying and Harrison, Adam P. and Chao, Chun-Hung and Xiao, Jing and Lu, Le},
title = {Organ at Risk Segmentation for Head and Neck Cancer Using Stratified Learning and Neural Architecture Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Human-Object Interaction Detection Using Interaction Points-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Tiancai and Yang, Tong and Danelljan, Martin and Khan, Fahad Shahbaz and Zhang, Xiangyu and Sun, Jian},
title = {Learning Human-Object Interaction Detection Using Interaction Points},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Kinematics Analysis for Monocular 3D Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Jingwei and Yu, Zhenbo and Ni, Bingbing and Yang, Jiancheng and Yang, Xiaokang and Zhang, Wenjun},
title = {Deep Kinematics Analysis for Monocular 3D Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Yunhan and Kong, Shu and Shin, Daeyun and Fowlkes, Charless},
title = {Domain Decluttering: Simplifying Images to Mitigate Synthetic-Real Domain Shift and Improve Depth Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Illuminant Estimation Based on Deep Metric Learning-
[pdf]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Bolei and Liu, Jingxin and Hou, Xianxu and Liu, Bozhi and Qiu, Guoping},
title = {End-to-End Illuminant Estimation Based on Deep Metric Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PatchVAE: Learning Local Latent Codes for Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gupta_2020_CVPR,
author = {Gupta, Kamal and Singh, Saurabh and Shrivastava, Abhinav},
title = {PatchVAE: Learning Local Latent Codes for Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation-
[pdf]
[supp]
[dataset]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xiang and Wei, Tianhan and Chen, Yau Pun and Tai, Yu-Wing and Tang, Chi-Keung},
title = {FSS-1000: A 1000-Class Dataset for Few-Shot Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Hussein_2020_CVPR,
author = {Abu Hussein, Shady and Tirer, Tom and Giryes, Raja},
title = {Correction Filter for Single Image Super-Resolution: Robustifying Off-the-Shelf Deep Super-Resolvers},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Tianlong and Liu, Sijia and Chang, Shiyu and Cheng, Yu and Amini, Lisa and Wang, Zhangyang},
title = {Adversarial Robustness: From Self-Supervised Pre-Training to Fine-Tuning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Efficient Adversarial Training With Transferable Adversarial Examples-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Haizhong and Zhang, Ziqi and Gu, Juncheng and Lee, Honglak and Prakash, Atul},
title = {Efficient Adversarial Training With Transferable Adversarial Examples},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adversarial Texture Optimization From RGB-D Scans-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Jingwei and Thies, Justus and Dai, Angela and Kundu, Abhijit and Jiang, Chiyu "Max" and Guibas, Leonidas J. and Niessner, Matthias and Funkhouser, Thomas},
title = {Adversarial Texture Optimization From RGB-D Scans},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Saito_2020_CVPR,
author = {Saito, Shunsuke and Simon, Tomas and Saragih, Jason and Joo, Hanbyul},
title = {PIFuHD: Multi-Level Pixel-Aligned Implicit Function for High-Resolution 3D Human Digitization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Joo Ho and Ha, Hyunho and Dong, Yue and Tong, Xin and Kim, Min H.},
title = {TextureFusion: High-Quality Texture Acquisition for Real-Time RGB-D Scanning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos-
[pdf]
[bibtex]@InProceedings{Zang_2020_CVPR,
author = {Zang, Guangming and Idoughi, Ramzi and Wang, Congli and Bennett, Anthony and Du, Jianguo and Skeen, Scott and Roberts, William L. and Wonka, Peter and Heidrich, Wolfgang},
title = {TomoFluid: Reconstructing Dynamic Fluid From Sparse View Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Point Cloud Completion by Skip-Attention Network With Hierarchical Folding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wen_2020_CVPR,
author = {Wen, Xin and Li, Tianyang and Han, Zhizhong and Liu, Yu-Shen},
title = {Point Cloud Completion by Skip-Attention Network With Hierarchical Folding},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Revisiting Knowledge Distillation via Label Smoothing Regularization-
[pdf]
[supp]
[bibtex]@InProceedings{Yuan_2020_CVPR,
author = {Yuan, Li and Tay, Francis EH and Li, Guilin and Wang, Tao and Feng, Jiashi},
title = {Revisiting Knowledge Distillation via Label Smoothing Regularization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Modeling Biological Immunity to Adversarial Examples-
[pdf]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Edward and Rego, Jocelyn and Watkins, Yijing and Kenyon, Garrett T.},
title = {Modeling Biological Immunity to Adversarial Examples},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Differentiable Search for Mixed-Precision Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cai_2020_CVPR,
author = {Cai, Zhaowei and Vasconcelos, Nuno},
title = {Rethinking Differentiable Search for Mixed-Precision Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Chenchi and Li, Yingmao and Lin, Kaimo and Chen, George and Lee, Seok-Jun and Choi, Jihwan and Yoo, Youngjun Francis and Polley, Michael O.},
title = {Wavelet Synthesis Net for Disparity Estimation to Synthesize DSLR Calibre Bokeh Effect on Smartphones},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structure-Guided Ranking Loss for Single Image Depth Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Xian_2020_CVPR,
author = {Xian, Ke and Zhang, Jianming and Wang, Oliver and Mai, Long and Lin, Zhe and Cao, Zhiguo},
title = {Structure-Guided Ranking Loss for Single Image Depth Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Perspective Plane Program Induction From a Single Image-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yikai and Mao, Jiayuan and Zhang, Xiuming and Freeman, William T. and Tenenbaum, Joshua B. and Wu, Jiajun},
title = {Perspective Plane Program Induction From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ActionBytes: Learning From Trimmed Videos to Localize Actions-
[pdf]
[bibtex]@InProceedings{Jain_2020_CVPR,
author = {Jain, Mihir and Ghodrati, Amir and Snoek, Cees G. M.},
title = {ActionBytes: Learning From Trimmed Videos to Localize Actions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Fuyang and Nauata, Nelson and Furukawa, Yasutaka},
title = {Conv-MPN: Convolutional Message Passing Neural Network for Structured Outdoor Architecture Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Novel Object Viewpoint Estimation Through Reconstruction Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Banani_2020_CVPR,
author = {El Banani, Mohamed and Corso, Jason J. and Fouhey, David F.},
title = {Novel Object Viewpoint Estimation Through Reconstruction Alignment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PaStaNet: Toward Human Activity Knowledge Engine-
[pdf]
[arXiv]
[dataset]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yong-Lu and Xu, Liang and Liu, Xinpeng and Huang, Xijie and Xu, Yue and Wang, Shiyi and Fang, Hao-Shu and Ma, Ze and Chen, Mingyang and Lu, Cewu},
title = {PaStaNet: Toward Human Activity Knowledge Engine},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Fluid Surface Reconstruction Using Deep Neural Network-
[pdf]
[supp]
[bibtex]@InProceedings{Thapa_2020_CVPR,
author = {Thapa, Simron and Li, Nianyi and Ye, Jinwei},
title = {Dynamic Fluid Surface Reconstruction Using Deep Neural Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MPM: Joint Representation of Motion and Position Map for Cell Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hayashida_2020_CVPR,
author = {Hayashida, Junya and Nishimura, Kazuya and Bise, Ryoma},
title = {MPM: Joint Representation of Motion and Position Map for Cell Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AdderNet: Do We Really Need Multiplications in Deep Learning?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Hanting and Wang, Yunhe and Xu, Chunjing and Shi, Boxin and Xu, Chao and Tian, Qi and Xu, Chang},
title = {AdderNet: Do We Really Need Multiplications in Deep Learning?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Interaction Modeling via Graph Operations Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Haoxin and Zheng, Wei-Shi and Tao, Yu and Hu, Haifeng and Lai, Jian-Huang},
title = {Adaptive Interaction Modeling via Graph Operations Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Niemeyer_2020_CVPR,
author = {Niemeyer, Michael and Mescheder, Lars and Oechsle, Michael and Geiger, Andreas},
title = {Differentiable Volumetric Rendering: Learning Implicit 3D Representations Without 3D Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Haokui and Li, Ying and Chen, Hao and Shen, Chunhua},
title = {Memory-Efficient Hierarchical Neural Architecture Search for Image Denoising},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Embodied Language Grounding With 3D Visual Feature Representations-
[pdf]
[supp]
[bibtex]@InProceedings{Prabhudesai_2020_CVPR,
author = {Prabhudesai, Mihir and Tung, Hsiao-Yu Fish and Javed, Syed Ashar and Sieb, Maximilian and Harley, Adam W. and Fragkiadaki, Katerina},
title = {Embodied Language Grounding With 3D Visual Feature Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Gu_2020_CVPR,
author = {Gu, Xiaodong and Fan, Zhiwen and Zhu, Siyu and Dai, Zuozhuo and Tan, Feitong and Tan, Ping},
title = {Cascade Cost Volume for High-Resolution Multi-View Stereo and Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
All in One Bad Weather Removal Using Architectural Search-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Ruoteng and Tan, Robby T. and Cheong, Loong-Fah},
title = {All in One Bad Weather Removal Using Architectural Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Zehao and Gao, Shenghua},
title = {Fast-MVSNet: Sparse-to-Dense Multi-View Stereo With Learned Propagation and Gauss-Newton Refinement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Auxiliary Training: Towards Accurate and Robust Models-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Linfeng and Yu, Muzhou and Chen, Tong and Shi, Zuoqiang and Bao, Chenglong and Ma, Kaisheng},
title = {Auxiliary Training: Towards Accurate and Robust Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cascaded Human-Object Interaction Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Tianfei and Wang, Wenguan and Qi, Siyuan and Ling, Haibin and Shen, Jianbing},
title = {Cascaded Human-Object Interaction Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Holistically-Attracted Wireframe Parsing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xue_2020_CVPR,
author = {Xue, Nan and Wu, Tianfu and Bai, Song and Wang, Fudong and Xia, Gui-Song and Zhang, Liangpei and Torr, Philip H.S.},
title = {Holistically-Attracted Wireframe Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Strip Pooling: Rethinking Spatial Pooling for Scene Parsing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hou_2020_CVPR,
author = {Hou, Qibin and Zhang, Li and Cheng, Ming-Ming and Feng, Jiashi},
title = {Strip Pooling: Rethinking Spatial Pooling for Scene Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
OASIS: A Large-Scale Dataset for Single Image 3D in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Weifeng and Qian, Shengyi and Fan, David and Kojima, Noriyuki and Hamilton, Max and Deng, Jia},
title = {OASIS: A Large-Scale Dataset for Single Image 3D in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Kluger_2020_CVPR,
author = {Kluger, Florian and Brachmann, Eric and Ackermann, Hanno and Rother, Carsten and Yang, Michael Ying and Rosenhahn, Bodo},
title = {CONSAC: Robust Multi-Model Fitting by Conditional Sample Consensus},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Global Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choy_2020_CVPR,
author = {Choy, Christopher and Dong, Wei and Koltun, Vladlen},
title = {Deep Global Registration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CycleISP: Real Image Restoration via Improved Data Synthesis-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zamir_2020_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 = {CycleISP: Real Image Restoration via Improved Data Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Network Pruning With Residual-Connections and Limited-Data-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Jian-Hao and Wu, Jianxin},
title = {Neural Network Pruning With Residual-Connections and Limited-Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Cages for Detail-Preserving 3D Deformations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yifan_2020_CVPR,
author = {Yifan, Wang and Aigerman, Noam and Kim, Vladimir G. and Chaudhuri, Siddhartha and Sorkine-Hornung, Olga},
title = {Neural Cages for Detail-Preserving 3D Deformations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fashion Outfit Complementary Item Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Yen-Liang and Tran, Son and Davis, Larry S.},
title = {Fashion Outfit Complementary Item Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Fayyaz_2020_CVPR,
author = {Fayyaz, Mohsen and Gall, Jurgen},
title = {SCT: Set Constrained Temporal Transformer for Set Supervised Action Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries-
[pdf]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Han and Zhen, Xingjian and Chi, Ying and Zhang, Lei and Hua, Xian-Sheng},
title = {CPR-GCN: Conditional Partial-Residual Graph Convolutional Network in Automated Anatomical Labeling of Coronary Arteries},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Blind Deconvolution Using Deep Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ren_2020_CVPR,
author = {Ren, Dongwei and Zhang, Kai and Wang, Qilong and Hu, Qinghua and Zuo, Wangmeng},
title = {Neural Blind Deconvolution Using Deep Priors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D Packing for Self-Supervised Monocular Depth Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guizilini_2020_CVPR,
author = {Guizilini, Vitor and Ambrus, Rares and Pillai, Sudeep and Raventos, Allan and Gaidon, Adrien},
title = {3D Packing for Self-Supervised Monocular Depth Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings-
[pdf]
[supp]
[bibtex]@InProceedings{Parashar_2020_CVPR,
author = {Parashar, Shaifali and Salzmann, Mathieu and Fua, Pascal},
title = {Local Non-Rigid Structure-From-Motion From Diffeomorphic Mappings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structure Preserving Generative Cross-Domain Learning-
[pdf]
[bibtex]@InProceedings{Xia_2020_CVPR,
author = {Xia, Haifeng and Ding, Zhengming},
title = {Structure Preserving Generative Cross-Domain Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generative Hybrid Representations for Activity Forecasting With No-Regret Learning-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Guan_2020_CVPR,
author = {Guan, Jiaqi and Yuan, Ye and Kitani, Kris M. and Rhinehart, Nicholas},
title = {Generative Hybrid Representations for Activity Forecasting With No-Regret Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers-
[pdf]
[video]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Lyujian and Wang, Hua and Elbeleidy, Saad and Nie, Feiping},
title = {Predicting Cognitive Declines Using Longitudinally Enriched Representations for Imaging Biomarkers},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Xiaokang and Lin, Kwan-Yee and Qian, Chen and Zeng, Gang and Li, Hongsheng},
title = {3D Sketch-Aware Semantic Scene Completion via Semi-Supervised Structure Prior},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Progressive Mirror Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Jiaying and Wang, Guodong and Lau, Rynson W.H.},
title = {Progressive Mirror Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Hanchao and Sun, Shanhui and Yu, Haichao and Chen, Xiao and Shi, Honghui and Huang, Thomas S. and Chen, Terrence},
title = {FOAL: Fast Online Adaptive Learning for Cardiac Motion Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Don't Hit Me! Glass Detection in Real-World Scenes-
[pdf]
[supp]
[bibtex]@InProceedings{Mei_2020_CVPR,
author = {Mei, Haiyang and Yang, Xin and Wang, Yang and Liu, Yuanyuan and He, Shengfeng and Zhang, Qiang and Wei, Xiaopeng and Lau, Rynson W.H.},
title = {Don't Hit Me! Glass Detection in Real-World Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Grouping Model for Unified Perceptual Parsing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Zhiheng and Bao, Wenxuan and Zheng, Jiayang and Xu, Chenliang},
title = {Deep Grouping Model for Unified Perceptual Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Inter-Task Association Critic for Cross-Resolution Person Re-Identification-
[pdf]
[video]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Zhiyi and Dong, Qi and Gong, Shaogang and Zhu, Xiatian},
title = {Inter-Task Association Critic for Cross-Resolution Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Maksoud_2020_CVPR,
author = {Maksoud, Sam and Zhao, Kun and Hobson, Peter and Jennings, Anthony and Lovell, Brian C.},
title = {SOS: Selective Objective Switch for Rapid Immunofluorescence Whole Slide Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification-
[pdf]
[video]
[bibtex]@InProceedings{Yan_2020_CVPR,
author = {Yan, Yichao and Qin, Jie and Chen, Jiaxin and Liu, Li and Zhu, Fan and Tai, Ying and Shao, Ling},
title = {Learning Multi-Granular Hypergraphs for Video-Based Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Unified INT8 Training for Convolutional Neural Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Feng and Gong, Ruihao and Yu, Fengwei and Liu, Xianglong and Wang, Yanfei and Li, Zhelong and Yang, Xiuqi and Yan, Junjie},
title = {Towards Unified INT8 Training for Convolutional Neural Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Addepalli_2020_CVPR,
author = {Addepalli, Sravanti and B.S., Vivek and Baburaj, Arya and Sriramanan, Gaurang and Babu, R. Venkatesh},
title = {Towards Achieving Adversarial Robustness by Enforcing Feature Consistency Across Bit Planes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HOnnotate: A Method for 3D Annotation of Hand and Object Poses-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hampali_2020_CVPR,
author = {Hampali, Shreyas and Rad, Mahdi and Oberweger, Markus and Lepetit, Vincent},
title = {HOnnotate: A Method for 3D Annotation of Hand and Object Poses},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality-
[pdf]
[video]
[dataset]
[bibtex]@InProceedings{Ying_2020_CVPR,
author = {Ying, Zhenqiang and Niu, Haoran and Gupta, Praful and Mahajan, Dhruv and Ghadiyaram, Deepti and Bovik, Alan},
title = {From Patches to Pictures (PaQ-2-PiQ): Mapping the Perceptual Space of Picture Quality},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast MSER-
[pdf]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Hailiang and Xie, Siqi and Chen, Fan},
title = {Fast MSER},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Scheiner_2020_CVPR,
author = {Scheiner, Nicolas and Kraus, Florian and Wei, Fangyin and Phan, Buu and Mannan, Fahim and Appenrodt, Nils and Ritter, Werner and Dickmann, Jurgen and Dietmayer, Klaus and Sick, Bernhard and Heide, Felix},
title = {Seeing Around Street Corners: Non-Line-of-Sight Detection and Tracking In-the-Wild Using Doppler Radar},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly Supervised Visual Semantic Parsing-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zareian_2020_CVPR,
author = {Zareian, Alireza and Karaman, Svebor and Chang, Shih-Fu},
title = {Weakly Supervised Visual Semantic Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bringing Old Photos Back to Life-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wan_2020_CVPR,
author = {Wan, Ziyu and Zhang, Bo and Chen, Dongdong and Zhang, Pan and Chen, Dong and Liao, Jing and Wen, Fang},
title = {Bringing Old Photos Back to Life},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xiaoming and Li, Wenyu and Ren, Dongwei and Zhang, Hongzhi and Wang, Meng and Zuo, Wangmeng},
title = {Enhanced Blind Face Restoration With Multi-Exemplar Images and Adaptive Spatial Feature Fusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Xiaohu and Li, Zuoyue and Cui, Zhaopeng and Oswald, Martin R. and Pollefeys, Marc and Qin, Rongjun},
title = {Geometry-Aware Satellite-to-Ground Image Synthesis for Urban Areas},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Lei and Zhu, Siyu and Fu, Hongbo and Tan, Ping and Tai, Chiew-Lan},
title = {End-to-End Learning Local Multi-View Descriptors for 3D Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Scale Boosted Dehazing Network With Dense Feature Fusion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Hang and Pan, Jinshan and Xiang, Lei and Hu, Zhe and Zhang, Xinyi and Wang, Fei and Yang, Ming-Hsuan},
title = {Multi-Scale Boosted Dehazing Network With Dense Feature Fusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Multi-Hypothesis Approach to Color Constancy-
[pdf]
[supp]
[bibtex]@InProceedings{Hernandez-Juarez_2020_CVPR,
author = {Hernandez-Juarez, Daniel and Parisot, Sarah and Busam, Benjamin and Leonardis, Ales and Slabaugh, Gregory and McDonagh, Steven},
title = {A Multi-Hypothesis Approach to Color Constancy},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Lambert_2020_CVPR,
author = {Lambert, John and Liu, Zhuang and Sener, Ozan and Hays, James and Koltun, Vladlen},
title = {MSeg: A Composite Dataset for Multi-Domain Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Event-Based Motion Deblurring-
[pdf]
[arXiv]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Zhe and Zhang, Yu and Zou, Dongqing and Ren, Jimmy and Lv, Jiancheng and Liu, Yebin},
title = {Learning Event-Based Motion Deblurring},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DMCP: Differentiable Markov Channel Pruning for Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Shaopeng and Wang, Yujie and Li, Quanquan and Yan, Junjie},
title = {DMCP: Differentiable Markov Channel Pruning for Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Wenhan and Wang, Shiqi and Fang, Yuming and Wang, Yue and Liu, Jiaying},
title = {From Fidelity to Perceptual Quality: A Semi-Supervised Approach for Low-Light Image Enhancement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation-
[pdf]
[video]
[bibtex]@InProceedings{Fan_2020_CVPR,
author = {Fan, Junsong and Zhang, Zhaoxiang and Song, Chunfeng and Tan, Tieniu},
title = {Learning Integral Objects With Intra-Class Discriminator for Weakly-Supervised Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Yantao and Jia, Yunhan and Wang, Jianyu and Li, Bai and Chai, Weiheng and Carin, Lawrence and Velipasalar, Senem},
title = {Enhancing Cross-Task Black-Box Transferability of Adversarial Examples With Dispersion Reduction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Mesh-Guided Multi-View Stereo With Pyramid Architecture-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yuesong and Guan, Tao and Chen, Zhuo and Luo, Yawei and Luo, Keyang and Ju, Lili},
title = {Mesh-Guided Multi-View Stereo With Pyramid Architecture},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BSP-Net: Generating Compact Meshes via Binary Space Partitioning-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Zhiqin and Tagliasacchi, Andrea and Zhang, Hao},
title = {BSP-Net: Generating Compact Meshes via Binary Space Partitioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection-
[pdf]
[video]
[bibtex]@InProceedings{Lang_2020_CVPR,
author = {Lang, Yining and He, Yuan and Yang, Fan and Dong, Jianfeng and Xue, Hui},
title = {Which Is Plagiarism: Fashion Image Retrieval Based on Regional Representation for Design Protection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Relation-Aware Global Attention for Person Re-Identification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zhizheng and Lan, Cuiling and Zeng, Wenjun and Jin, Xin and Chen, Zhibo},
title = {Relation-Aware Global Attention for Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles-
[pdf]
[arXiv]
[bibtex]@InProceedings{Duan_2020_CVPR,
author = {Duan, Ranjie and Ma, Xingjun and Wang, Yisen and Bailey, James and Qin, A. K. and Yang, Yun},
title = {Adversarial Camouflage: Hiding Physical-World Attacks With Natural Styles},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Evolving Losses for Unsupervised Video Representation Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Piergiovanni_2020_CVPR,
author = {Piergiovanni, AJ and Angelova, Anelia and Ryoo, Michael S.},
title = {Evolving Losses for Unsupervised Video Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3DV: 3D Dynamic Voxel for Action Recognition in Depth Video-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yancheng and Xiao, Yang and Xiong, Fu and Jiang, Wenxiang and Cao, Zhiguo and Zhou, Joey Tianyi and Yuan, Junsong},
title = {3DV: 3D Dynamic Voxel for Action Recognition in Depth Video},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Benchmarking Adversarial Robustness on Image Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Yinpeng and Fu, Qi-An and Yang, Xiao and Pang, Tianyu and Su, Hang and Xiao, Zihao and Zhu, Jun},
title = {Benchmarking Adversarial Robustness on Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chan_2020_CVPR,
author = {Chan, Alvin and Tay, Yi and Ong, Yew-Soon},
title = {What It Thinks Is Important Is Important: Robustness Transfers Through Input Gradients},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zeng_2020_CVPR,
author = {Zeng, Xiangrui and Xu, Min},
title = {Gum-Net: Unsupervised Geometric Matching for Fast and Accurate 3D Subtomogram Image Alignment and Averaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Parametric Shape Predictions Using Distance Fields-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Smirnov_2020_CVPR,
author = {Smirnov, Dmitriy and Fisher, Matthew and Kim, Vladimir G. and Zhang, Richard and Solomon, Justin},
title = {Deep Parametric Shape Predictions Using Distance Fields},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Correspondence-Free Material Reconstruction using Sparse Surface Constraints-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Weiss_2020_CVPR,
author = {Weiss, Sebastian and Maier, Robert and Cremers, Daniel and Westermann, Rudiger and Thuerey, Nils},
title = {Correspondence-Free Material Reconstruction using Sparse Surface Constraints},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PointPainting: Sequential Fusion for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vora_2020_CVPR,
author = {Vora, Sourabh and Lang, Alex H. and Helou, Bassam and Beijbom, Oscar},
title = {PointPainting: Sequential Fusion for 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Subspaces for Few-Shot Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Simon_2020_CVPR,
author = {Simon, Christian and Koniusz, Piotr and Nock, Richard and Harandi, Mehrtash},
title = {Adaptive Subspaces for Few-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Heng and Carlone, Luca},
title = {In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction From 2D Landmarks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Graph Message Passing Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Li and Xu, Dan and Arnab, Anurag and Torr, Philip H.S.},
title = {Dynamic Graph Message Passing Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Evaluating Weakly Supervised Object Localization Methods Right-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choe_2020_CVPR,
author = {Choe, Junsuk and Oh, Seong Joon and Lee, Seungho and Chun, Sanghyuk and Akata, Zeynep and Shim, Hyunjung},
title = {Evaluating Weakly Supervised Object Localization Methods Right},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Jiahui and Yang, Sheng and Mu, Tai-Jiang and Hu, Shi-Min},
title = {ClusterVO: Clustering Moving Instances and Estimating Visual Odometry for Self and Surroundings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DaST: Data-Free Substitute Training for Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Mingyi and Wu, Jing and Liu, Yipeng and Liu, Shuaicheng and Zhu, Ce},
title = {DaST: Data-Free Substitute Training for Adversarial Attacks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer-
[pdf]
[video]
[bibtex]@InProceedings{Lv_2020_CVPR,
author = {Lv, Fengmao and Liang, Tao and Chen, Xiang and Lin, Guosheng},
title = {Cross-Domain Semantic Segmentation via Domain-Invariant Interactive Relation Transfer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Minimal Solutions for Relative Pose With a Single Affine Correspondence-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guan_2020_CVPR,
author = {Guan, Banglei and Zhao, Ji and Li, Zhang and Sun, Fang and Fraundorfer, Friedrich},
title = {Minimal Solutions for Relative Pose With a Single Affine Correspondence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis-
[pdf]
[video]
[bibtex]@InProceedings{Chiu_2020_CVPR,
author = {Chiu, Mang Tik and Xu, Xingqian and Wei, Yunchao and Huang, Zilong and Schwing, Alexander G. and Brunner, Robert and Khachatrian, Hrant and Karapetyan, Hovnatan and Dozier, Ivan and Rose, Greg and Wilson, David and Tudor, Adrian and Hovakimyan, Naira and Huang, Thomas S. and Shi, Honghui},
title = {Agriculture-Vision: A Large Aerial Image Database for Agricultural Pattern Analysis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kiciroglu_2020_CVPR,
author = {Kiciroglu, Sena and Rhodin, Helge and Sinha, Sudipta N. and Salzmann, Mathieu and Fua, Pascal},
title = {ActiveMoCap: Optimized Viewpoint Selection for Active Human Motion Capture},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation-
[pdf]
[supp]
[bibtex]@InProceedings{Fogel_2020_CVPR,
author = {Fogel, Sharon and Averbuch-Elor, Hadar and Cohen, Sarel and Mazor, Shai and Litman, Roee},
title = {ScrabbleGAN: Semi-Supervised Varying Length Handwritten Text Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scalability in Perception for Autonomous Driving: Waymo Open Dataset-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Pei and Kretzschmar, Henrik and Dotiwalla, Xerxes and Chouard, Aurelien and Patnaik, Vijaysai and Tsui, Paul and Guo, James and Zhou, Yin and Chai, Yuning and Caine, Benjamin and Vasudevan, Vijay and Han, Wei and Ngiam, Jiquan and Zhao, Hang and Timofeev, Aleksei and Ettinger, Scott and Krivokon, Maxim and Gao, Amy and Joshi, Aditya and Zhang, Yu and Shlens, Jonathon and Chen, Zhifeng and Anguelov, Dragomir},
title = {Scalability in Perception for Autonomous Driving: Waymo Open Dataset},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Modal Domain Adaptation for Fine-Grained Action Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Munro_2020_CVPR,
author = {Munro, Jonathan and Damen, Dima},
title = {Multi-Modal Domain Adaptation for Fine-Grained Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Sparse Resultant Based Method for Efficient Minimal Solvers-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bhayani_2020_CVPR,
author = {Bhayani, Snehal and Kukelova, Zuzana and Heikkila, Janne},
title = {A Sparse Resultant Based Method for Efficient Minimal Solvers},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Liming and Li, Ren and Wu, Wayne and Qian, Chen and Loy, Chen Change},
title = {DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Shape Reconstruction by Learning Differentiable Surface Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bednarik_2020_CVPR,
author = {Bednarik, Jan and Parashar, Shaifali and Gundogdu, Erhan and Salzmann, Mathieu and Fua, Pascal},
title = {Shape Reconstruction by Learning Differentiable Surface Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Temporal Pyramid Network for Action Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Ceyuan and Xu, Yinghao and Shi, Jianping and Dai, Bo and Zhou, Bolei},
title = {Temporal Pyramid Network for Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Jiazhao and Zhu, Chenyang and Zheng, Lintao and Xu, Kai},
title = {Fusion-Aware Point Convolution for Online Semantic 3D Scene Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Skeleton-Based Action Recognition With Shift Graph Convolutional Network-
[pdf]
[supp]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Ke and Zhang, Yifan and He, Xiangyu and Chen, Weihan and Cheng, Jian and Lu, Hanqing},
title = {Skeleton-Based Action Recognition With Shift Graph Convolutional Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Xuanqing and Xiao, Tesi and Si, Si and Cao, Qin and Kumar, Sanjiv and Hsieh, Cho-Jui},
title = {How Does Noise Help Robustness? Explanation and Exploration under the Neural SDE Framework},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context-Aware Group Captioning via Self-Attention and Contrastive Features-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Zhuowan and Tran, Quan and Mai, Long and Lin, Zhe and Yuille, Alan L.},
title = {Context-Aware Group Captioning via Self-Attention and Contrastive Features},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Forget for Meta-Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Baik_2020_CVPR,
author = {Baik, Sungyong and Hong, Seokil and Lee, Kyoung Mu},
title = {Learning to Forget for Meta-Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Self-supervised Approach for Adversarial Robustness-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Naseer_2020_CVPR,
author = {Naseer, Muzammal and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Porikli, Fatih},
title = {A Self-supervised Approach for Adversarial Robustness},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Makansi_2020_CVPR,
author = {Makansi, Osama and Cicek, Ozgun and Buchicchio, Kevin and Brox, Thomas},
title = {Multimodal Future Localization and Emergence Prediction for Objects in Egocentric View With a Reachability Prior},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
OccuSeg: Occupancy-Aware 3D Instance Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Han_2020_CVPR,
author = {Han, Lei and Zheng, Tian and Xu, Lan and Fang, Lu},
title = {OccuSeg: Occupancy-Aware 3D Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RevealNet: Seeing Behind Objects in RGB-D Scans-
[pdf]
[supp]
[bibtex]@InProceedings{Hou_2020_CVPR,
author = {Hou, Ji and Dai, Angela and Niessner, Matthias},
title = {RevealNet: Seeing Behind Objects in RGB-D Scans},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Optics for Single-Shot High-Dynamic-Range Imaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Metzler_2020_CVPR,
author = {Metzler, Christopher A. and Ikoma, Hayato and Peng, Yifan and Wetzstein, Gordon},
title = {Deep Optics for Single-Shot High-Dynamic-Range Imaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HybridPose: 6D Object Pose Estimation Under Hybrid Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Song_2020_CVPR,
author = {Song, Chen and Song, Jiaru and Huang, Qixing},
title = {HybridPose: 6D Object Pose Estimation Under Hybrid Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yuan_2020_CVPR,
author = {Yuan, Jianhe and He, Zhihai},
title = {Ensemble Generative Cleaning With Feedback Loops for Defending Adversarial Attacks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Jinrui and Zheng, Wei-Shi and Yang, Qize and Chen, Ying-Cong and Tian, Qi},
title = {Spatial-Temporal Graph Convolutional Network for Video-Based Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yuheng and Jia, Ruoxi and Pei, Hengzhi and Wang, Wenxiao and Li, Bo and Song, Dawn},
title = {The Secret Revealer: Generative Model-Inversion Attacks Against Deep Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Modeling With Correlation Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Heng and Tran, Du and Torresani, Lorenzo and Feiszli, Matt},
title = {Video Modeling With Correlation Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Understanding Road Layout From Videos as a Whole-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Buyu and Zhuang, Bingbing and Schulter, Samuel and Ji, Pan and Chandraker, Manmohan},
title = {Understanding Road Layout From Videos as a Whole},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Universal Physical Camouflage Attacks on Object Detectors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Lifeng and Gao, Chengying and Zhou, Yuyin and Xie, Cihang and Yuille, Alan L. and Zou, Changqing and Liu, Ning},
title = {Universal Physical Camouflage Attacks on Object Detectors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Ego-Topo: Environment Affordances From Egocentric Video-
[pdf]
[supp]
[bibtex]@InProceedings{Nagarajan_2020_CVPR,
author = {Nagarajan, Tushar and Li, Yanghao and Feichtenhofer, Christoph and Grauman, Kristen},
title = {Ego-Topo: Environment Affordances From Egocentric Video},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Fan_2020_CVPR,
author = {Fan, Qi and Zhuo, Wei and Tang, Chi-Keung and Tai, Yu-Wing},
title = {Few-Shot Object Detection With Attention-RPN and Multi-Relation Detector},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Salience-Guided Cascaded Suppression Network for Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Xuesong and Fu, Canmiao and Zhao, Yong and Zheng, Feng and Song, Jingkuan and Ji, Rongrong and Yang, Yi},
title = {Salience-Guided Cascaded Suppression Network for Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Height and Uprightness Invariance for 3D Prediction From a Single View-
[pdf]
[bibtex]@InProceedings{Baradad_2020_CVPR,
author = {Baradad, Manel and Torralba, Antonio},
title = {Height and Uprightness Invariance for 3D Prediction From a Single View},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Projection & Probability-Driven Black-Box Attack-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Jie and Ji, Rongrong and Liu, Hong and Liu, Jianzhuang and Zhong, Bineng and Deng, Cheng and Tian, Qi},
title = {Projection & Probability-Driven Black-Box Attack},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Shuo and Xu, Zexiang and Zhu, Shilin and Li, Zhuwen and Li, Li Erran and Ramamoorthi, Ravi and Su, Hao},
title = {Deep Stereo Using Adaptive Thin Volume Representation With Uncertainty Awareness},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{You_2020_CVPR,
author = {You, Shan and Huang, Tao and Yang, Mingmin and Wang, Fei and Qian, Chen and Zhang, Changshui},
title = {GreedyNAS: Towards Fast One-Shot NAS With Greedy Supernet},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training-
[pdf]
[video]
[bibtex]@InProceedings{Yuan_2020_CVPR,
author = {Yuan, Yuan and Su, Wei and Ma, Dandan},
title = {Efficient Dynamic Scene Deblurring Using Spatially Variant Deconvolution Network With Optical Flow Guided Training},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wald_2020_CVPR,
author = {Wald, Johanna and Dhamo, Helisa and Navab, Nassir and Tombari, Federico},
title = {Learning 3D Semantic Scene Graphs From 3D Indoor Reconstructions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Renjun and Liu, Pelen and Wang, Liyan and Chen, Chao and Wang, Jindong},
title = {Reliable Weighted Optimal Transport for Unsupervised Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deblurring by Realistic Blurring-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Kaihao and Luo, Wenhan and Zhong, Yiran and Ma, Lin and Stenger, Bjorn and Liu, Wei and Li, Hongdong},
title = {Deblurring by Realistic Blurring},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery-
[pdf]
[video]
[dataset]
[bibtex]@InProceedings{Jin_2020_CVPR,
author = {Jin, Lei and Xu, Yanyu and Zheng, Jia and Zhang, Junfei and Tang, Rui and Xu, Shugong and Yu, Jingyi and Gao, Shenghua},
title = {Geometric Structure Based and Regularized Depth Estimation From 360 Indoor Imagery},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning in the Frequency Domain-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Kai and Qin, Minghai and Sun, Fei and Wang, Yuhao and Chen, Yen-Kuang and Ren, Fengbo},
title = {Learning in the Frequency Domain},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Fu-En and Yeh, Yu-Hsuan and Sun, Min and Chiu, Wei-Chen and Tsai, Yi-Hsuan},
title = {BiFuse: Monocular 360 Depth Estimation via Bi-Projection Fusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Fisher and Chen, Haofeng and Wang, Xin and Xian, Wenqi and Chen, Yingying and Liu, Fangchen and Madhavan, Vashisht and Darrell, Trevor},
title = {BDD100K: A Diverse Driving Dataset for Heterogeneous Multitask Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yuan_2020_CVPR,
author = {Yuan, Xin and Liu, Yang and Suo, Jinli and Dai, Qionghai},
title = {Plug-and-Play Algorithms for Large-Scale Snapshot Compressive Imaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-Stage Semantic Segmentation From Image Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Araslanov_2020_CVPR,
author = {Araslanov, Nikita and Roth, Stefan},
title = {Single-Stage Semantic Segmentation From Image Labels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Suin_2020_CVPR,
author = {Suin, Maitreya and Purohit, Kuldeep and Rajagopalan, A. N.},
title = {Spatially-Attentive Patch-Hierarchical Network for Adaptive Motion Deblurring},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yao_2020_CVPR,
author = {Yao, Yuan and Schertler, Nico and Rosales, Enrique and Rhodin, Helge and Sigal, Leonid and Sheffer, Alla},
title = {Front2Back: Single View 3D Shape Reconstruction via Front to Back Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reverse Perspective Network for Perspective-Aware Object Counting-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Yifan and Li, Guorong and Wu, Zhe and Su, Li and Huang, Qingming and Sebe, Nicu},
title = {Reverse Perspective Network for Perspective-Aware Object Counting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Show, Edit and Tell: A Framework for Editing Image Captions-
[pdf]
[supp]
[bibtex]@InProceedings{Sammani_2020_CVPR,
author = {Sammani, Fawaz and Melas-Kyriazi, Luke},
title = {Show, Edit and Tell: A Framework for Editing Image Captions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Wenhan and Tan, Robby T. and Wang, Shiqi and Liu, Jiaying},
title = {Self-Learning Video Rain Streak Removal: When Cyclic Consistency Meets Temporal Correspondence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
QEBA: Query-Efficient Boundary-Based Blackbox Attack-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Huichen and Xu, Xiaojun and Zhang, Xiaolu and Yang, Shuang and Li, Bo},
title = {QEBA: Query-Efficient Boundary-Based Blackbox Attack},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generating and Exploiting Probabilistic Monocular Depth Estimates-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xia_2020_CVPR,
author = {Xia, Zhihao and Sullivan, Patrick and Chakrabarti, Ayan},
title = {Generating and Exploiting Probabilistic Monocular Depth Estimates},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context-Aware Attention Network for Image-Text Retrieval-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Qi and Lei, Zhen and Zhang, Zhaoxiang and Li, Stan Z.},
title = {Context-Aware Attention Network for Image-Text Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Navaneet_2020_CVPR,
author = {Navaneet, K L and Mathew, Ansu and Kashyap, Shashank and Hung, Wei-Chih and Jampani, Varun and Babu, R. Venkatesh},
title = {From Image Collections to Point Clouds With Self-Supervised Shape and Pose Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Zhibo and Huang, Lihan and Chen, Yupei and Wei, Zijun and Ahn, Seoyoung and Zelinsky, Gregory and Samaras, Dimitris and Hoai, Minh},
title = {Predicting Goal-Directed Human Attention Using Inverse Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Fragoso_2020_CVPR,
author = {Fragoso, Victor and DeGol, Joseph and Hua, Gang},
title = {gDLS*: Generalized Pose-and-Scale Estimation Given Scale and Gravity Priors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Perceptual Quality Assessment of Smartphone Photography-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2020_CVPR,
author = {Fang, Yuming and Zhu, Hanwei and Zeng, Yan and Ma, Kede and Wang, Zhou},
title = {Perceptual Quality Assessment of Smartphone Photography},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Minghao and Yang, Yuzhe and Xu, Rui and Liu, Ziwei and Lin, Dahua},
title = {When NAS Meets Robustness: In Search of Robust Architectures Against Adversarial Attacks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Mok_2020_CVPR,
author = {Mok, Tony C.W. and Chung, Albert C.S.},
title = {Fast Symmetric Diffeomorphic Image Registration with Convolutional Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep White-Balance Editing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Afifi_2020_CVPR,
author = {Afifi, Mahmoud and Brown, Michael S.},
title = {Deep White-Balance Editing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Zhi-Hao and Huang, Sheng-Yu and Wang, Yu-Chiang Frank},
title = {Convolution in the Cloud: Learning Deformable Kernels in 3D Graph Convolution Networks for Point Cloud Analysis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion-
[pdf]
[supp]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Gengshan and Ramanan, Deva},
title = {Upgrading Optical Flow to 3D Scene Flow Through Optical Expansion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Collaborative Distillation for Ultra-Resolution Universal Style Transfer-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Huan and Li, Yijun and Wang, Yuehai and Hu, Haoji and Yang, Ming-Hsuan},
title = {Collaborative Distillation for Ultra-Resolution Universal Style Transfer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{You_2020_CVPR,
author = {You, Yuning and Chen, Tianlong and Wang, Zhangyang and Shen, Yang},
title = {L2-GCN: Layer-Wise and Learned Efficient Training of Graph Convolutional Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Warburg_2020_CVPR,
author = {Warburg, Frederik and Hauberg, Soren and Lopez-Antequera, Manuel and Gargallo, Pau and Kuang, Yubin and Civera, Javier},
title = {Mapillary Street-Level Sequences: A Dataset for Lifelong Place Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
M-LVC: Multiple Frames Prediction for Learned Video Compression-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Jianping and Liu, Dong and Li, Houqiang and Wu, Feng},
title = {M-LVC: Multiple Frames Prediction for Learned Video Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zhe and Wang, Chunyu and Qin, Wenhu and Zeng, Wenjun},
title = {Fusing Wearable IMUs With Multi-View Images for Human Pose Estimation: A Geometric Approach},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DNU: Deep Non-Local Unrolling for Computational Spectral Imaging-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Lizhi and Sun, Chen and Zhang, Maoqing and Fu, Ying and Huang, Hua},
title = {DNU: Deep Non-Local Unrolling for Computational Spectral Imaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-Stage 6D Object Pose Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Yinlin and Fua, Pascal and Wang, Wei and Salzmann, Mathieu},
title = {Single-Stage 6D Object Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Kaixuan and Fu, Ying and Yang, Jiaolong and Huang, Hua},
title = {A Physics-Based Noise Formation Model for Extreme Low-Light Raw Denoising},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AdaBits: Neural Network Quantization With Adaptive Bit-Widths-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jin_2020_CVPR,
author = {Jin, Qing and Yang, Linjie and Liao, Zhenyu},
title = {AdaBits: Neural Network Quantization With Adaptive Bit-Widths},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Lighting-Invariant Point Processor for Shading-
[pdf]
[supp]
[bibtex]@InProceedings{Heal_2020_CVPR,
author = {Heal, Kathryn and Wang, Jialiang and Gortler, Steven J. and Zickler, Todd},
title = {A Lighting-Invariant Point Processor for Shading},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning a Reinforced Agent for Flexible Exposure Bracketing Selection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Zhouxia and Zhang, Jiawei and Lin, Mude and Wang, Jiong and Luo, Ping and Ren, Jimmy},
title = {Learning a Reinforced Agent for Flexible Exposure Bracketing Selection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Maximov_2020_CVPR,
author = {Maximov, Maxim and Galim, Kevin and Leal-Taixe, Laura},
title = {Focus on Defocus: Bridging the Synthetic to Real Domain Gap for Depth Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Defending Against Universal Attacks Through Selective Feature Regeneration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Borkar_2020_CVPR,
author = {Borkar, Tejas and Heide, Felix and Karam, Lina},
title = {Defending Against Universal Attacks Through Selective Feature Regeneration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yuhang and Zhang, Fandong and Zhang, Qianyi and Wang, Siwen and Wang, Yizhou and Yu, Yizhou},
title = {Cross-View Correspondence Reasoning Based on Bipartite Graph Convolutional Network for Mammogram Mass Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Image Search With Text Feedback by Visiolinguistic Attention Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Yanbei and Gong, Shaogang and Bazzani, Loris},
title = {Image Search With Text Feedback by Visiolinguistic Attention Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint 3D Instance Segmentation and Object Detection for Autonomous Driving-
[pdf]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Dingfu and Fang, Jin and Song, Xibin and Liu, Liu and Yin, Junbo and Dai, Yuchao and Li, Hongdong and Yang, Ruigang},
title = {Joint 3D Instance Segmentation and Object Detection for Autonomous Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DUNIT: Detection-Based Unsupervised Image-to-Image Translation-
[pdf]
[bibtex]@InProceedings{Bhattacharjee_2020_CVPR,
author = {Bhattacharjee, Deblina and Kim, Seungryong and Vizier, Guillaume and Salzmann, Mathieu},
title = {DUNIT: Detection-Based Unsupervised Image-to-Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Human Depth Estimation From Monocular Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tan_2020_CVPR,
author = {Tan, Feitong and Zhu, Hao and Cui, Zhaopeng and Zhu, Siyu and Pollefeys, Marc and Tan, Ping},
title = {Self-Supervised Human Depth Estimation From Monocular Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Guanlin and Ding, Shuya and Luo, Jun and Liu, Chang},
title = {Enhancing Intrinsic Adversarial Robustness via Feature Pyramid Decoder},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Two-Shot Spatially-Varying BRDF and Shape Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Boss_2020_CVPR,
author = {Boss, Mark and Jampani, Varun and Kim, Kihwan and Lensch, Hendrik P.A. and Kautz, Jan},
title = {Two-Shot Spatially-Varying BRDF and Shape Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Polarized Non-Line-of-Sight Imaging-
[pdf]
[supp]
[bibtex]@InProceedings{Tanaka_2020_CVPR,
author = {Tanaka, Kenichiro and Mukaigawa, Yasuhiro and Kadambi, Achuta},
title = {Polarized Non-Line-of-Sight Imaging},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Optimization of Scene Layout-
[pdf]
[arXiv]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Andrew and Zhang, Zhoutong and Wu, Jiajun and Tenenbaum, Joshua B.},
title = {End-to-End Optimization of Scene Layout},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ye_2020_CVPR,
author = {Ye, Maosheng and Xu, Shuangjie and Cao, Tongyi},
title = {HVNet: Hybrid Voxel Network for LiDAR Based 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Action Modifiers: Learning From Adverbs in Instructional Videos-
[pdf]
[supp]
[bibtex]@InProceedings{Doughty_2020_CVPR,
author = {Doughty, Hazel and Laptev, Ivan and Mayol-Cuevas, Walterio and Damen, Dima},
title = {Action Modifiers: Learning From Adverbs in Instructional Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Chunle and Li, Chongyi and Guo, Jichang and Loy, Chen Change and Hou, Junhui and Kwong, Sam and Cong, Runmin},
title = {Zero-Reference Deep Curve Estimation for Low-Light Image Enhancement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FPConv: Learning Local Flattening for Point Convolution-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Yiqun and Yan, Zizheng and Huang, Haibin and Du, Dong and Liu, Ligang and Cui, Shuguang and Han, Xiaoguang},
title = {FPConv: Learning Local Flattening for Point Convolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Xin and Yu, Ruixuan and Sun, Jian},
title = {View-GCN: View-Based Graph Convolutional Network for 3D Shape Analysis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Footprints and Free Space From a Single Color Image-
[pdf]
[arXiv]
[bibtex]@InProceedings{Watson_2020_CVPR,
author = {Watson, Jamie and Firman, Michael and Monszpart, Aron and Brostow, Gabriel J.},
title = {Footprints and Free Space From a Single Color Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Efficient Model Compression via Learned Global Ranking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chin_2020_CVPR,
author = {Chin, Ting-Wu and Ding, Ruizhou and Zhang, Cha and Marculescu, Diana},
title = {Towards Efficient Model Compression via Learned Global Ranking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Multiview 3D Point Cloud Registration-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Gojcic_2020_CVPR,
author = {Gojcic, Zan and Zhou, Caifa and Wegner, Jan D. and Guibas, Leonidas J. and Birdal, Tolga},
title = {Learning Multiview 3D Point Cloud Registration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transformation GAN for Unsupervised Image Synthesis and Representation Learning-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Jiayu and Zhou, Wengang and Qi, Guo-Jun and Fu, Zhongqian and Tian, Qi and Li, Houqiang},
title = {Transformation GAN for Unsupervised Image Synthesis and Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robustness Guarantees for Deep Neural Networks on Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Min and Kwiatkowska, Marta},
title = {Robustness Guarantees for Deep Neural Networks on Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yan_2020_CVPR,
author = {Yan, Xi and Acuna, David and Fidler, Sanja},
title = {Neural Data Server: A Large-Scale Search Engine for Transfer Learning Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Instance Guided Proposal Network for Person Search-
[pdf]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Wenkai and Zhang, Zhaoxiang and Song, Chunfeng and Tan, Tieniu},
title = {Instance Guided Proposal Network for Person Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Jialun and Sun, Yifan and Han, Chuchu and Dou, Zhaopeng and Li, Wenhui},
title = {Deep Representation Learning on Long-Tailed Data: A Learnable Embedding Augmentation Perspective},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Young_2020_CVPR,
author = {Young, Sean I. and Lindell, David B. and Girod, Bernd and Taubman, David and Wetzstein, Gordon},
title = {Non-Line-of-Sight Surface Reconstruction Using the Directional Light-Cone Transform},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Xi and Xia, Ding and Kin, Taichi and Igarashi, Takeo},
title = {IntrA: 3D Intracranial Aneurysm Dataset for Deep Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset-
[pdf]
[supp]
[dataset]
[bibtex]@InProceedings{Pedersen_2020_CVPR,
author = {Pedersen, Malte and Haurum, Joakim Bruslund and Bengtson, Stefan Hein and Moeslund, Thomas B.},
title = {3D-ZeF: A 3D Zebrafish Tracking Benchmark Dataset},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
X3D: Expanding Architectures for Efficient Video Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Feichtenhofer_2020_CVPR,
author = {Feichtenhofer, Christoph},
title = {X3D: Expanding Architectures for Efficient Video Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Pan_2020_CVPR,
author = {Pan, Fei and Shin, Inkyu and Rameau, Francois and Lee, Seokju and Kweon, In So},
title = {Unsupervised Intra-Domain Adaptation for Semantic Segmentation Through Self-Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks-
[pdf]
[supp]
[video]
[dataset]
[bibtex]@InProceedings{Materzynska_2020_CVPR,
author = {Materzynska, Joanna and Xiao, Tete and Herzig, Roei and Xu, Huijuan and Wang, Xiaolong and Darrell, Trevor},
title = {Something-Else: Compositional Action Recognition With Spatial-Temporal Interaction Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Jin_2020_CVPR,
author = {Jin, Beibei and Hu, Yu and Tang, Qiankun and Niu, Jingyu and Shi, Zhiping and Han, Yinhe and Li, Xiaowei},
title = {Exploring Spatial-Temporal Multi-Frequency Analysis for High-Fidelity and Temporal-Consistency Video Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud-
[pdf]
[supp]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Weijing and Rajkumar, Raj},
title = {Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
How Much Time Do You Have? Modeling Multi-Duration Saliency-
[pdf]
[supp]
[bibtex]@InProceedings{Fosco_2020_CVPR,
author = {Fosco, Camilo and Newman, Anelise and Sukhum, Pat and Bin Zhang, Yun and Zhao, Nanxuan and Oliva, Aude and Bylinskii, Zoya},
title = {How Much Time Do You Have? Modeling Multi-Duration Saliency},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Jinglei and Jiang, Xiaoran and Guillemot, Christine},
title = {Learning Fused Pixel and Feature-Based View Reconstructions for Light Fields},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval-
[pdf]
[video]
[dataset]
[bibtex]@InProceedings{Weyand_2020_CVPR,
author = {Weyand, Tobias and Araujo, Andre and Cao, Bingyi and Sim, Jack},
title = {Google Landmarks Dataset v2 - A Large-Scale Benchmark for Instance-Level Recognition and Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Lightweight Photometric Stereo for Facial Details Recovery-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Xueying and Guo, Yudong and Deng, Bailin and Zhang, Juyong},
title = {Lightweight Photometric Stereo for Facial Details Recovery},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SAL: Sign Agnostic Learning of Shapes From Raw Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Atzmon_2020_CVPR,
author = {Atzmon, Matan and Lipman, Yaron},
title = {SAL: Sign Agnostic Learning of Shapes From Raw Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Yang and Ding, Yuhang and Liu, Ping and Zhu, Linchao and Zhang, Hanwang and Yang, Yi},
title = {Learning Filter Pruning Criteria for Deep Convolutional Neural Networks Acceleration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Liheng and Qi, Guo-Jun},
title = {WCP: Worst-Case Perturbations for Semi-Supervised Deep Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Separating Particulate Matter From a Single Microscopic Image-
[pdf]
[bibtex]@InProceedings{Sandhan_2020_CVPR,
author = {Sandhan, Tushar and Choi, Jin Young},
title = {Separating Particulate Matter From a Single Microscopic Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras-
[pdf]
[supp]
[arXiv]
[video]
[dataset]
[bibtex]@InProceedings{Baldwin_2020_CVPR,
author = {Baldwin, R. Wes and Almatrafi, Mohammed and Asari, Vijayan and Hirakawa, Keigo},
title = {Event Probability Mask (EPM) and Event Denoising Convolutional Neural Network (EDnCNN) for Neuromorphic Cameras},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Ziyu and Liu, Buyu and Schulter, Samuel and Wang, Zhangyang and Chandraker, Manmohan},
title = {Peek-a-Boo: Occlusion Reasoning in Indoor Scenes With Plane Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Shangzhe and Rupprecht, Christian and Vedaldi, Andrea},
title = {Unsupervised Learning of Probably Symmetric Deformable 3D Objects From Images in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Hashimoto_2020_CVPR,
author = {Hashimoto, Noriaki and Fukushima, Daisuke and Koga, Ryoichi and Takagi, Yusuke and Ko, Kaho and Kohno, Kei and Nakaguro, Masato and Nakamura, Shigeo and Hontani, Hidekata and Takeuchi, Ichiro},
title = {Multi-scale Domain-adversarial Multiple-instance CNN for Cancer Subtype Classification with Unannotated Histopathological Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
STAViS: Spatio-Temporal AudioVisual Saliency Network-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tsiami_2020_CVPR,
author = {Tsiami, Antigoni and Koutras, Petros and Maragos, Petros},
title = {STAViS: Spatio-Temporal AudioVisual Saliency Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Lila and Wang, Shenlong and Wong, Kelvin and Liu, Jerry and Urtasun, Raquel},
title = {OctSqueeze: Octree-Structured Entropy Model for LiDAR Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Changlin and Peng, Jiefeng and Yuan, Liuchun and Wang, Guangrun and Liang, Xiaodan and Lin, Liang and Chang, Xiaojun},
title = {Block-Wisely Supervised Neural Architecture Search With Knowledge Distillation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PANDA: A Gigapixel-Level Human-Centric Video Dataset-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Xueyang and Zhang, Xiya and Zhu, Yinheng and Guo, Yuchen and Yuan, Xiaoyun and Xiang, Liuyu and Wang, Zerun and Ding, Guiguang and Brady, David and Dai, Qionghai and Fang, Lu},
title = {PANDA: A Gigapixel-Level Human-Centric Video Dataset},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Lingjing and Li, Xiang and Fang, Yi},
title = {Few-Shot Learning of Part-Specific Probability Space for 3D Shape Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Actor-Transformers for Group Activity Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gavrilyuk_2020_CVPR,
author = {Gavrilyuk, Kirill and Sanford, Ryan and Javan, Mehrsan and Snoek, Cees G. M.},
title = {Actor-Transformers for Group Activity Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Domain Adaptation for Image Dehazing-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Shao_2020_CVPR,
author = {Shao, Yuanjie and Li, Lerenhan and Ren, Wenqi and Gao, Changxin and Sang, Nong},
title = {Domain Adaptation for Image Dehazing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploiting Joint Robustness to Adversarial Perturbations-
[pdf]
[bibtex]@InProceedings{Dabouei_2020_CVPR,
author = {Dabouei, Ali and Soleymani, Sobhan and Taherkhani, Fariborz and Dawson, Jeremy and Nasrabadi, Nasser M.},
title = {Exploiting Joint Robustness to Adversarial Perturbations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}