Papers
-
[Go back]
IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Peng_2020_CVPR,
author = {Peng, Wanli and Pan, Hao and Liu, He and Sun, Yi},
title = {IDA-3D: Instance-Depth-Aware 3D Object Detection From Stereo Vision for Autonomous Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FroDO: From Detections to 3D Objects-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Runz_2020_CVPR,
author = {Runz, Martin and Li, Kejie and Tang, Meng and Ma, Lingni and Kong, Chen and Schmidt, Tanner and Reid, Ian and Agapito, Lourdes and Straub, Julian and Lovegrove, Steven and Newcombe, Richard},
title = {FroDO: From Detections to 3D Objects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{You_2020_CVPR,
author = {You, Yang and Lou, Yujing and Li, Chengkun and Cheng, Zhoujun and Li, Liangwei and Ma, Lizhuang and Lu, Cewu and Wang, Weiming},
title = {KeypointNet: A Large-Scale 3D Keypoint Dataset Aggregated From Numerous Human Annotations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Shifeng and Chi, Cheng and Yao, Yongqiang and Lei, Zhen and Li, Stan Z.},
title = {Bridging the Gap Between Anchor-Based and Anchor-Free Detection via Adaptive Training Sample Selection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structure Aware Single-Stage 3D Object Detection From Point Cloud-
[pdf]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Chenhang and Zeng, Hui and Huang, Jianqiang and Hua, Xian-Sheng and Zhang, Lei},
title = {Structure Aware Single-Stage 3D Object Detection From Point Cloud},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bernard_2020_CVPR,
author = {Bernard, Florian and Suri, Zeeshan Khan and Theobalt, Christian},
title = {MINA: Convex Mixed-Integer Programming for Non-Rigid Shape Alignment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Enhanced Transport Distance for Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Mengxue and Zhai, Yi-Ming and Luo, You-Wei and Ge, Peng-Fei and Ren, Chuan-Xian},
title = {Enhanced Transport Distance for Unsupervised Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rao_2020_CVPR,
author = {Rao, Anyi and Xu, Linning and Xiong, Yu and Xu, Guodong and Huang, Qingqiu and Zhou, Bolei and Lin, Dahua},
title = {A Local-to-Global Approach to Multi-Modal Movie Scene Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TA-Student VQA: Multi-Agents Training by Self-Questioning-
[pdf]
[bibtex]@InProceedings{Xiong_2020_CVPR,
author = {Xiong, Peixi and Wu, Ying},
title = {TA-Student VQA: Multi-Agents Training by Self-Questioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Structure-Revealed Network for Texture Recognition-
[pdf]
[bibtex]@InProceedings{Zhai_2020_CVPR,
author = {Zhai, Wei and Cao, Yang and Zha, Zheng-Jun and Xie, HaiYong and Wu, Feng},
title = {Deep Structure-Revealed Network for Texture Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Traffic Modeling From Overhead Imagery-
[pdf]
[supp]
[bibtex]@InProceedings{Workman_2020_CVPR,
author = {Workman, Scott and Jacobs, Nathan},
title = {Dynamic Traffic Modeling From Overhead Imagery},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
In Defense of Grid Features for Visual Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Huaizu and Misra, Ishan and Rohrbach, Marcus and Learned-Miller, Erik and Chen, Xinlei},
title = {In Defense of Grid Features for Visual Question Answering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking the Route Towards Weakly Supervised Object Localization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Chen-Lin and Cao, Yun-Hao and Wu, Jianxin},
title = {Rethinking the Route Towards Weakly Supervised Object Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Zhihui and Wang, Shijie and Yang, Shuhui and Li, Haojie and Li, Jianjun and Li, Zezhou},
title = {Weakly Supervised Fine-Grained Image Classification via Guassian Mixture Model Oriented Discriminative Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Violin: A Large-Scale Dataset for Video-and-Language Inference-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Jingzhou and Chen, Wenhu and Cheng, Yu and Gan, Zhe and Yu, Licheng and Yang, Yiming and Liu, Jingjing},
title = {Violin: A Large-Scale Dataset for Video-and-Language Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Local Context Normalization: Revisiting Local Normalization-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ortiz_2020_CVPR,
author = {Ortiz, Anthony and Robinson, Caleb and Morris, Dan and Fuentes, Olac and Kiekintveld, Christopher and Hassan, Md Mahmudulla and Jojic, Nebojsa},
title = {Local Context Normalization: Revisiting Local Normalization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Tangent Images for Mitigating Spherical Distortion-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Eder_2020_CVPR,
author = {Eder, Marc and Shvets, Mykhailo and Lim, John and Frahm, Jan-Michael},
title = {Tangent Images for Mitigating Spherical Distortion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Normalized and Geometry-Aware Self-Attention Network for Image Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Longteng and Liu, Jing and Zhu, Xinxin and Yao, Peng and Lu, Shichen and Lu, Hanqing},
title = {Normalized and Geometry-Aware Self-Attention Network for Image Captioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deepstrip: High-Resolution Boundary Refinement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Peng and Price, Brian and Cohen, Scott and Wilensky, Gregg and Davis, Larry S.},
title = {Deepstrip: High-Resolution Boundary Refinement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Jaritz_2020_CVPR,
author = {Jaritz, Maximilian and Vu, Tuan-Hung and de Charette, Raoul and Wirbel, Emilie and Perez, Patrick},
title = {xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Pato_2020_CVPR,
author = {Pato, Lourenco V. and Negrinho, Renato and Aguiar, Pedro M. Q.},
title = {Seeing without Looking: Contextual Rescoring of Object Detections for AP Maximization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Geocentric Object Pose in Oblique Monocular Images-
[pdf]
[arXiv]
[bibtex]@InProceedings{Christie_2020_CVPR,
author = {Christie, Gordon and Abujder, Rodrigo Rene Rai Munoz and Foster, Kevin and Hagstrom, Shea and Hager, Gregory D. and Brown, Myron Z.},
title = {Learning Geocentric Object Pose in Oblique Monocular Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DPGN: Distribution Propagation Graph Network for Few-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Ling and Li, Liangliang and Zhang, Zilun and Zhou, Xinyu and Zhou, Erjin and Liu, Yu},
title = {DPGN: Distribution Propagation Graph Network for Few-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Domain Document Object Detection: Benchmark Suite and Method-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Kai and Wigington, Curtis and Tensmeyer, Chris and Zhao, Handong and Barmpalios, Nikolaos and Morariu, Vlad I. and Manjunatha, Varun and Sun, Tong and Fu, Yun},
title = {Cross-Domain Document Object Detection: Benchmark Suite and Method},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Kayhan_2020_CVPR,
author = {Kayhan, Osman Semih and van Gemert, Jan C.},
title = {On Translation Invariance in CNNs: Convolutional Layers Can Exploit Absolute Spatial Location},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Bertasius_2020_CVPR,
author = {Bertasius, Gedas and Torresani, Lorenzo},
title = {Classifying, Segmenting, and Tracking Object Instances in Video with Mask Propagation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Menglong and Wu, Fangrui and Li, Wei},
title = {WaveletStereo: Learning Wavelet Coefficients of Disparity Map in Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2020_CVPR,
author = {Fang, Hao and Lafarge, Florent},
title = {Connect-and-Slice: An Hybrid Approach for Reconstructing 3D Objects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Instance Occlusion for Panoptic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lazarow_2020_CVPR,
author = {Lazarow, Justin and Lee, Kwonjoon and Shi, Kunyu and Tu, Zhuowen},
title = {Learning Instance Occlusion for Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Graph Embedded Pose Clustering for Anomaly Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Markovitz_2020_CVPR,
author = {Markovitz, Amir and Sharir, Gilad and Friedman, Itamar and Zelnik-Manor, Lihi and Avidan, Shai},
title = {Graph Embedded Pose Clustering for Anomaly Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Graph Structured Network for Image-Text Matching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Chunxiao and Mao, Zhendong and Zhang, Tianzhu and Xie, Hongtao and Wang, Bin and Zhang, Yongdong},
title = {Graph Structured Network for Image-Text Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector-
[pdf]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yang and Tang, Xu},
title = {BFBox: Searching Face-Appropriate Backbone and Feature Pyramid Network for Face Detector},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Adversarial-Attention Network for Multi-Modal Clustering-
[pdf]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Runwu and Shen, Yi-Dong},
title = {End-to-End Adversarial-Attention Network for Multi-Modal Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What You See is What You Get: Exploiting Visibility for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Peiyun and Ziglar, Jason and Held, David and Ramanan, Deva},
title = {What You See is What You Get: Exploiting Visibility for 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Visual Grounding in Video for Unsupervised Word Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sigurdsson_2020_CVPR,
author = {Sigurdsson, Gunnar A. and Alayrac, Jean-Baptiste and Nematzadeh, Aida and Smaira, Lucas and Malinowski, Mateusz and Carreira, Joao and Blunsom, Phil and Zisserman, Andrew},
title = {Visual Grounding in Video for Unsupervised Word Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis-
[pdf]
[arXiv]
[dataset]
[bibtex]@InProceedings{Prajwal_2020_CVPR,
author = {Prajwal, K R and Mukhopadhyay, Rudrabha and Namboodiri, Vinay P. and Jawahar, C.V.},
title = {Learning Individual Speaking Styles for Accurate Lip to Speech Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adversarial Latent Autoencoders-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pidhorskyi_2020_CVPR,
author = {Pidhorskyi, Stanislav and Adjeroh, Donald A. and Doretto, Gianfranco},
title = {Adversarial Latent Autoencoders},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Counterfactual Samples Synthesizing for Robust Visual Question Answering-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Long and Yan, Xin and Xiao, Jun and Zhang, Hanwang and Pu, Shiliang and Zhuang, Yueting},
title = {Counterfactual Samples Synthesizing for Robust Visual Question Answering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Inter-Region Affinity Distillation for Road Marking Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hou_2020_CVPR,
author = {Hou, Yuenan and Ma, Zheng and Liu, Chunxiao and Hui, Tak-Wai and Loy, Chen Change},
title = {Inter-Region Affinity Distillation for Road Marking Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Siyuan and Gunel, Semih and Ostrek, Mirela and Ramdya, Pavan and Fua, Pascal and Rhodin, Helge},
title = {Deformation-Aware Unpaired Image Translation for Pose Estimation on Laboratory Animals},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Pill Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Ling_2020_CVPR,
author = {Ling, Suiyi and Pastor, Andreas and Li, Jing and Che, Zhaohui and Wang, Junle and Kim, Jieun and Le Callet, Patrick},
title = {Few-Shot Pill Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Canjie and Zhu, Yuanzhi and Jin, Lianwen and Wang, Yongpan},
title = {Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PointGMM: A Neural GMM Network for Point Clouds-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hertz_2020_CVPR,
author = {Hertz, Amir and Hanocka, Rana and Giryes, Raja and Cohen-Or, Daniel},
title = {PointGMM: A Neural GMM Network for Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Xun and Lee, Gim Hee},
title = {Weakly Supervised Semantic Point Cloud Segmentation: Towards 10x Fewer Labels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CoverNet: Multimodal Behavior Prediction Using Trajectory Sets-
[pdf]
[supp]
[bibtex]@InProceedings{Phan-Minh_2020_CVPR,
author = {Phan-Minh, Tung and Grigore, Elena Corina and Boulton, Freddy A. and Beijbom, Oscar and Wolff, Eric M.},
title = {CoverNet: Multimodal Behavior Prediction Using Trajectory Sets},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Screencast Tutorial Video Understanding-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Kunpeng and Fang, Chen and Wang, Zhaowen and Kim, Seokhwan and Jin, Hailin and Fu, Yun},
title = {Screencast Tutorial Video Understanding},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Gated Channel Transformation for Visual Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Zongxin and Zhu, Linchao and Wu, Yu and Yang, Yi},
title = {Gated Channel Transformation for Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Measure the Static Friction Coefficient in Cloth Contact-
[pdf]
[supp]
[bibtex]@InProceedings{Rasheed_2020_CVPR,
author = {Rasheed, Abdullah Haroon and Romero, Victor and Bertails-Descoubes, Florence and Wuhrer, Stefanie and Franco, Jean-Sebastien and Lazarus, Arnaud},
title = {Learning to Measure the Static Friction Coefficient in Cloth Contact},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Can Deep Learning Recognize Subtle Human Activities?-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Jacquot_2020_CVPR,
author = {Jacquot, Vincent and Ying, Zhuofan and Kreiman, Gabriel},
title = {Can Deep Learning Recognize Subtle Human Activities?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Hongxin and Feng, Lei and Chen, Xiangyu and An, Bo},
title = {Combating Noisy Labels by Agreement: A Joint Training Method with Co-Regularization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Superpixel Segmentation With Fully Convolutional Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Fengting and Sun, Qian and Jin, Hailin and Zhou, Zihan},
title = {Superpixel Segmentation With Fully Convolutional Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yuxin and Xie, Hongtao and Zha, Zheng-Jun and Xing, Mengting and Fu, Zilong and Zhang, Yongdong},
title = {ContourNet: Taking a Further Step Toward Accurate Arbitrary-Shaped Scene Text Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optimal least-squares solution to the hand-eye calibration problem-
[pdf]
[supp]
[bibtex]@InProceedings{Dekel_2020_CVPR,
author = {Dekel, Amit and Harenstam-Nielsen, Linus and Caccamo, Sergio},
title = {Optimal least-squares solution to the hand-eye calibration problem},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Eldesokey_2020_CVPR,
author = {Eldesokey, Abdelrahman and Felsberg, Michael and Holmquist, Karl and Persson, Michael},
title = {Uncertainty-Aware CNNs for Depth Completion: Uncertainty from Beginning to End},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning From Web Data With Self-Organizing Memory Module-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2020_CVPR,
author = {Tu, Yi and Niu, Li and Chen, Junjie and Cheng, Dawei and Zhang, Liqing},
title = {Learning From Web Data With Self-Organizing Memory Module},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yu and Wang, Tao and Kang, Bingyi and Tang, Sheng and Wang, Chunfeng and Li, Jintao and Feng, Jiashi},
title = {Overcoming Classifier Imbalance for Long-Tail Object Detection With Balanced Group Softmax},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Scene Coordinate Classification and Regression for Visual Localization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xiaotian and Wang, Shuzhe and Zhao, Yi and Verbeek, Jakob and Kannala, Juho},
title = {Hierarchical Scene Coordinate Classification and Regression for Visual Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Symmetry and Group in Attribute-Object Compositions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yong-Lu and Xu, Yue and Mao, Xiaohan and Lu, Cewu},
title = {Symmetry and Group in Attribute-Object Compositions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Zhenpei and Chai, Yuning and Anguelov, Dragomir and Zhou, Yin and Sun, Pei and Erhan, Dumitru and Rafferty, Sean and Kretzschmar, Henrik},
title = {SurfelGAN: Synthesizing Realistic Sensor Data for Autonomous Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images-
[pdf]
[video]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Xing and Chen, Jiefu and Xiao, Jinhui and Gao, Lianli and Shen, Fumin and Shen, Heng Tao},
title = {What Machines See Is Not What They Get: Fooling Scene Text Recognition Models With Adversarial Text Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Learn Single Domain Generalization-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qiao_2020_CVPR,
author = {Qiao, Fengchun and Zhao, Long and Peng, Xi},
title = {Learning to Learn Single Domain Generalization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Warp to the Future: Joint Forecasting of Features and Feature Motion-
[pdf]
[supp]
[bibtex]@InProceedings{Saric_2020_CVPR,
author = {Saric, Josip and Orsic, Marin and Antunovic, Tonci and Vrazic, Sacha and Segvic, Sinisa},
title = {Warp to the Future: Joint Forecasting of Features and Feature Motion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs-
[pdf]
[bibtex]@InProceedings{Ji_2020_CVPR,
author = {Ji, Jingwei and Krishna, Ranjay and Fei-Fei, Li and Niebles, Juan Carlos},
title = {Action Genome: Actions As Compositions of Spatio-Temporal Scene Graphs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Speech2Action: Cross-Modal Supervision for Action Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Nagrani_2020_CVPR,
author = {Nagrani, Arsha and Sun, Chen and Ross, David and Sukthankar, Rahul and Schmid, Cordelia and Zisserman, Andrew},
title = {Speech2Action: Cross-Modal Supervision for Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Cluster Faces via Confidence and Connectivity Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Lei and Chen, Dapeng and Zhan, Xiaohang and Zhao, Rui and Loy, Chen Change and Lin, Dahua},
title = {Learning to Cluster Faces via Confidence and Connectivity Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Performance Estimation in Neural Architecture Search-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Xiawu and Ji, Rongrong and Wang, Qiang and Ye, Qixiang and Li, Zhenguo and Tian, Yonghong and Tian, Qi},
title = {Rethinking Performance Estimation in Neural Architecture Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Revisiting the Sibling Head in Object Detector-
[pdf]
[arXiv]
[bibtex]@InProceedings{Song_2020_CVPR,
author = {Song, Guanglu and Liu, Yu and Wang, Xiaogang},
title = {Revisiting the Sibling Head in Object Detector},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
EcoNAS: Finding Proxies for Economical Neural Architecture Search-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Dongzhan and Zhou, Xinchi and Zhang, Wenwei and Loy, Chen Change and Yi, Shuai and Zhang, Xuesen and Ouyang, Wanli},
title = {EcoNAS: Finding Proxies for Economical Neural Architecture Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Norm-Aware Embedding for Efficient Person Search-
[pdf]
[supp]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Di and Zhang, Shanshan and Yang, Jian and Schiele, Bernt},
title = {Norm-Aware Embedding for Efficient Person Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Syntax-Aware Action Targeting for Video Captioning-
[pdf]
[supp]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Qi and Wang, Chaoyue and Tao, Dacheng},
title = {Syntax-Aware Action Targeting for Video Captioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On Vocabulary Reliance in Scene Text Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wan_2020_CVPR,
author = {Wan, Zhaoyi and Zhang, Jielei and Zhang, Liang and Luo, Jiebo and Yao, Cong},
title = {On Vocabulary Reliance in Scene Text Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation-
[pdf]
[video]
[bibtex]@InProceedings{Qi_2020_CVPR,
author = {Qi, Mengshi and Qin, Jie and Wu, Yu and Yang, Yi},
title = {Imitative Non-Autoregressive Modeling for Trajectory Forecasting and Imputation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Choi_2020_CVPR,
author = {Choi, Seokeon and Lee, Sumin and Kim, Youngeun and Kim, Taekyung and Kim, Changick},
title = {Hi-CMD: Hierarchical Cross-Modality Disentanglement for Visible-Infrared Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Shizhe and Jin, Qin and Wang, Peng and Wu, Qi},
title = {Say As You Wish: Fine-Grained Control of Image Caption Generation With Abstract Scene Graphs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TESA: Tensor Element Self-Attention via Matricization-
[pdf]
[bibtex]@InProceedings{Babiloni_2020_CVPR,
author = {Babiloni, Francesca and Marras, Ioannis and Slabaugh, Gregory and Zafeiriou, Stefanos},
title = {TESA: Tensor Element Self-Attention via Matricization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Clean-Label Backdoor Attacks on Video Recognition Models-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Shihao and Ma, Xingjun and Zheng, Xiang and Bailey, James and Chen, Jingjing and Jiang, Yu-Gang},
title = {Clean-Label Backdoor Attacks on Video Recognition Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RPM-Net: Robust Point Matching Using Learned Features-
[pdf]
[supp]
[bibtex]@InProceedings{Yew_2020_CVPR,
author = {Yew, Zi Jian and Lee, Gim Hee},
title = {RPM-Net: Robust Point Matching Using Learned Features},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Improving One-Shot NAS by Suppressing the Posterior Fading-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xiang and Lin, Chen and Li, Chuming and Sun, Ming and Wu, Wei and Yan, Junjie and Ouyang, Wanli},
title = {Improving One-Shot NAS by Suppressing the Posterior Fading},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Understanding Human Hands in Contact at Internet Scale-
[pdf]
[arXiv]
[bibtex]@InProceedings{Shan_2020_CVPR,
author = {Shan, Dandan and Geng, Jiaqi and Shu, Michelle and Fouhey, David F.},
title = {Understanding Human Hands in Contact at Internet Scale},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yude and Zhang, Jie and Kan, Meina and Shan, Shiguang and Chen, Xilin},
title = {Self-Supervised Equivariant Attention Mechanism for Weakly Supervised Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TBT: Targeted Neural Network Attack With Bit Trojan-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rakin_2020_CVPR,
author = {Rakin, Adnan Siraj and He, Zhezhi and Fan, Deliang},
title = {TBT: Targeted Neural Network Attack With Bit Trojan},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Learning of Visual Representations From Uncurated Instructional Videos-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Miech_2020_CVPR,
author = {Miech, Antoine and Alayrac, Jean-Baptiste and Smaira, Lucas and Laptev, Ivan and Sivic, Josef and Zisserman, Andrew},
title = {End-to-End Learning of Visual Representations From Uncurated Instructional Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yousef_2020_CVPR,
author = {Yousef, Mohamed and Bishop, Tom E.},
title = {OrigamiNet: Weakly-Supervised, Segmentation-Free, One-Step, Full Page Text Recognition by learning to unfold},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Graph Attention Network for Visual Relationship Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Mi_2020_CVPR,
author = {Mi, Li and Chen, Zhenzhong},
title = {Hierarchical Graph Attention Network for Visual Relationship Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Implicit Embedding for Point Cloud Analysis-
[pdf]
[supp]
[bibtex]@InProceedings{Fujiwara_2020_CVPR,
author = {Fujiwara, Kent and Hashimoto, Taiichi},
title = {Neural Implicit Embedding for Point Cloud Analysis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Better Captioning With Sequence-Level Exploration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Jia and Jin, Qin},
title = {Better Captioning With Sequence-Level Exploration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Moving in the Right Direction: A Regularization for Deep Metric Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Mohan_2020_CVPR,
author = {Mohan, Deen Dayal and Sankaran, Nishant and Fedorishin, Dennis and Setlur, Srirangaraj and Govindaraju, Venu},
title = {Moving in the Right Direction: A Regularization for Deep Metric Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Improved Few-Shot Visual Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bateni_2020_CVPR,
author = {Bateni, Peyman and Goyal, Raghav and Masrani, Vaden and Wood, Frank and Sigal, Leonid},
title = {Improved Few-Shot Visual Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Visual Chirality-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Zhiqiu and Sun, Jin and Davis, Abe and Snavely, Noah},
title = {Visual Chirality},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Architecture Search for Lightweight Non-Local Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yingwei and Jin, Xiaojie and Mei, Jieru and Lian, Xiaochen and Yang, Linjie and Xie, Cihang and Yu, Qihang and Zhou, Yuyin and Bai, Song and Yuille, Alan L.},
title = {Neural Architecture Search for Lightweight Non-Local Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Private-kNN: Practical Differential Privacy for Computer Vision-
[pdf]
[supp]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Yuqing and Yu, Xiang and Chandraker, Manmohan and Wang, Yu-Xiang},
title = {Private-kNN: Practical Differential Privacy for Computer Vision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zaheer_2020_CVPR,
author = {Zaheer, Muhammad Zaigham and Lee, Jin-Ha and Astrid, Marcella and Lee, Seung-Ik},
title = {Old Is Gold: Redefining the Adversarially Learned One-Class Classifier Training Paradigm},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Zhenfang and Wang, Peng and Ma, Lin and Wong, Kwan-Yee K. and Wu, Qi},
title = {Cops-Ref: A New Dataset and Task on Compositional Referring Expression Comprehension},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Longterm Representations for Person Re-Identification Using Radio Signals-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Fan_2020_CVPR,
author = {Fan, Lijie and Li, Tianhong and Fang, Rongyao and Hristov, Rumen and Yuan, Yuan and Katabi, Dina},
title = {Learning Longterm Representations for Person Re-Identification Using Radio Signals},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DSNAS: Direct Neural Architecture Search Without Parameter Retraining-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Shoukang and Xie, Sirui and Zheng, Hehui and Liu, Chunxiao and Shi, Jianping and Liu, Xunying and Lin, Dahua},
title = {DSNAS: Direct Neural Architecture Search Without Parameter Retraining},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SESS: Self-Ensembling Semi-Supervised 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Na and Chua, Tat-Seng and Lee, Gim Hee},
title = {SESS: Self-Ensembling Semi-Supervised 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Bowen and Collins, Maxwell D. and Zhu, Yukun and Liu, Ting and Huang, Thomas S. and Adam, Hartwig and Chen, Liang-Chieh},
title = {Panoptic-DeepLab: A Simple, Strong, and Fast Baseline for Bottom-Up Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatio-Temporal Graph for Video Captioning With Knowledge Distillation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pan_2020_CVPR,
author = {Pan, Boxiao and Cai, Haoye and Huang, De-An and Lee, Kuan-Hui and Gaidon, Adrien and Adeli, Ehsan and Niebles, Juan Carlos},
title = {Spatio-Temporal Graph for Video Captioning With Knowledge Distillation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Weiwei and Jiang, Wei and Trulls, Eduard and Tagliasacchi, Andrea and Yi, Kwang Moo},
title = {ACNe: Attentive Context Normalization for Robust Permutation-Equivariant Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ViBE: Dressing for Diverse Body Shapes-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Hsiao_2020_CVPR,
author = {Hsiao, Wei-Lin and Grauman, Kristen},
title = {ViBE: Dressing for Diverse Body Shapes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Density-Based Clustering for 3D Object Detection in Point Clouds-
[pdf]
[bibtex]@InProceedings{Ahmed_2020_CVPR,
author = {Ahmed, Syeda Mariam and Chew, Chee Meng},
title = {Density-Based Clustering for 3D Object Detection in Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Diverse Image Generation via Self-Conditioned GANs-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Steven and Wang, Tongzhou and Bau, David and Zhu, Jun-Yan and Torralba, Antonio},
title = {Diverse Image Generation via Self-Conditioned GANs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation-
[pdf]
[video]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Ji and Xu, Wanting and Kneip, Laurent},
title = {A Certifiably Globally Optimal Solution to Generalized Essential Matrix Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Panoptic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Dahun and Woo, Sanghyun and Lee, Joon-Young and Kweon, In So},
title = {Video Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structured Multi-Hashing for Model Compression-
[pdf]
[bibtex]@InProceedings{Eban_2020_CVPR,
author = {Eban, Elad and Movshovitz-Attias, Yair and Wu, Hao and Sandler, Mark and Poon, Andrew and Idelbayev, Yerlan and Carreira-Perpinan, Miguel A.},
title = {Structured Multi-Hashing for Model Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Maintaining Discrimination and Fairness in Class Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Bowen and Xiao, Xi and Gan, Guojun and Zhang, Bin and Xia, Shu-Tao},
title = {Maintaining Discrimination and Fairness in Class Incremental Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ZeroQ: A Novel Zero Shot Quantization Framework-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cai_2020_CVPR,
author = {Cai, Yaohui and Yao, Zhewei and Dong, Zhen and Gholami, Amir and Mahoney, Michael W. and Keutzer, Kurt},
title = {ZeroQ: A Novel Zero Shot Quantization Framework},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Visual Motion Segmentation Using Event Surfaces-
[pdf]
[supp]
[bibtex]@InProceedings{Mitrokhin_2020_CVPR,
author = {Mitrokhin, Anton and Hua, Zhiyuan and Fermuller, Cornelia and Aloimonos, Yiannis},
title = {Learning Visual Motion Segmentation Using Event Surfaces},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Orthogonal Convolutional Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Jiayun and Chen, Yubei and Chakraborty, Rudrasis and Yu, Stella X.},
title = {Orthogonal Convolutional Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Just Go With the Flow: Self-Supervised Scene Flow Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mittal_2020_CVPR,
author = {Mittal, Himangi and Okorn, Brian and Held, David},
title = {Just Go With the Flow: Self-Supervised Scene Flow Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Set-Constrained Viterbi for Set-Supervised Action Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Jun and Todorovic, Sinisa},
title = {Set-Constrained Viterbi for Set-Supervised Action Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Sparse ConvNets-
[pdf]
[arXiv]
[bibtex]@InProceedings{Elsen_2020_CVPR,
author = {Elsen, Erich and Dukhan, Marat and Gale, Trevor and Simonyan, Karen},
title = {Fast Sparse ConvNets},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Jie and Li, Zhiheng and Luo, Jiebo and Xu, Chenliang},
title = {Learning a Weakly-Supervised Video Actor-Action Segmentation Model With a Wise Selection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Gradually Vanishing Bridge for Adversarial Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cui_2020_CVPR,
author = {Cui, Shuhao and Wang, Shuhui and Zhuo, Junbao and Su, Chi and Huang, Qingming and Tian, Qi},
title = {Gradually Vanishing Bridge for Adversarial Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Degradation Prior for Low-Quality Image Classification-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yang and Cao, Yang and Zha, Zheng-Jun and Zhang, Jing and Xiong, Zhiwei},
title = {Deep Degradation Prior for Low-Quality Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Visual-Textual Capsule Routing for Text-Based Video Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{McIntosh_2020_CVPR,
author = {McIntosh, Bruce and Duarte, Kevin and Rawat, Yogesh S and Shah, Mubarak},
title = {Visual-Textual Capsule Routing for Text-Based Video Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Inheritable Models for Open-Set Domain Adaptation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kundu_2020_CVPR,
author = {Kundu, Jogendra Nath and Venkat, Naveen and Revanur, Ambareesh and V, Rahul M and Babu, R. Venkatesh},
title = {Towards Inheritable Models for Open-Set Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Gen and Zhou, Yiyi and Sun, Xiaoshuai and Cao, Liujuan and Wu, Chenglin and Deng, Cheng and Ji, Rongrong},
title = {Multi-Task Collaborative Network for Joint Referring Expression Comprehension and Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection-
[pdf]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Yan and Zhang, Chongyang and Zhao, Muming and Zhou, Hao and Sun, Jun},
title = {Where, What, Whether: Multi-Modal Learning Meets Pedestrian Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Depth-Guided Convolutions for Monocular 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ding_2020_CVPR,
author = {Ding, Mingyu and Huo, Yuqi and Yi, Hongwei and Wang, Zhe and Shi, Jianping and Lu, Zhiwu and Luo, Ping},
title = {Learning Depth-Guided Convolutions for Monocular 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Daras_2020_CVPR,
author = {Daras, Giannis and Odena, Augustus and Zhang, Han and Dimakis, Alexandros G.},
title = {Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context Aware Graph Convolution for Skeleton-Based Action Recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Xikun and Xu, Chang and Tao, Dacheng},
title = {Context Aware Graph Convolution for Skeleton-Based Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Probabilistic Video Prediction From Noisy Data With a Posterior Confidence-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yunbo and Wu, Jiajun and Long, Mingsheng and Tenenbaum, Joshua B.},
title = {Probabilistic Video Prediction From Noisy Data With a Posterior Confidence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation-
[pdf]
[video]
[bibtex]@InProceedings{Cai_2020_CVPR,
author = {Cai, Minjie and Lu, Feng and Sato, Yoichi},
title = {Generalizing Hand Segmentation in Egocentric Videos With Uncertainty-Guided Model Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tang_2020_CVPR,
author = {Tang, Luming and Wertheimer, Davis and Hariharan, Bharath},
title = {Revisiting Pose-Normalization for Fine-Grained Few-Shot Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly-Supervised Salient Object Detection via Scribble Annotations-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Jing and Yu, Xin and Li, Aixuan and Song, Peipei and Liu, Bowen and Dai, Yuchao},
title = {Weakly-Supervised Salient Object Detection via Scribble Annotations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Correspondence Networks With Adaptive Neighbourhood Consensus-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Shuda and Han, Kai and Costain, Theo W. and Howard-Jenkins, Henry and Prisacariu, Victor},
title = {Correspondence Networks With Adaptive Neighbourhood Consensus},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interactive Object Segmentation With Inside-Outside Guidance-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Shiyin and Liew, Jun Hao and Wei, Yunchao and Wei, Shikui and Zhao, Yao},
title = {Interactive Object Segmentation With Inside-Outside Guidance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping-
[pdf]
[supp]
[bibtex]@InProceedings{Fang_2020_CVPR,
author = {Fang, Hao-Shu and Wang, Chenxi and Gou, Minghao and Lu, Cewu},
title = {GraspNet-1Billion: A Large-Scale Benchmark for General Object Grasping},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Meshed-Memory Transformer for Image Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cornia_2020_CVPR,
author = {Cornia, Marcella and Stefanini, Matteo and Baraldi, Lorenzo and Cucchiara, Rita},
title = {Meshed-Memory Transformer for Image Captioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Oh_2020_CVPR,
author = {Oh, Geunseob and Valois, Jean-Sebastien},
title = {HCNAF: Hyper-Conditioned Neural Autoregressive Flow and its Application for Probabilistic Occupancy Map Forecasting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Non-Local Neural Networks With Grouped Bilinear Attentional Transforms-
[pdf]
[supp]
[bibtex]@InProceedings{Chi_2020_CVPR,
author = {Chi, Lu and Yuan, Zehuan and Mu, Yadong and Wang, Changhu},
title = {Non-Local Neural Networks With Grouped Bilinear Attentional Transforms},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ye_2020_CVPR,
author = {Ye, Jingwen and Ji, Yixin and Wang, Xinchao and Gao, Xin and Song, Mingli},
title = {Data-Free Knowledge Amalgamation via Group-Stack Dual-GAN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Chelly_2020_CVPR,
author = {Chelly, Irit and Winter, Vlad and Litvak, Dor and Rosen, David and Freifeld, Oren},
title = {JA-POLS: A Moving-Camera Background Model via Joint Alignment and Partially-Overlapping Local Subspaces},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Mnemonics Training: Multi-Class Incremental Learning Without Forgetting-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yaoyao and Su, Yuting and Liu, An-An and Schiele, Bernt and Sun, Qianru},
title = {Mnemonics Training: Multi-Class Incremental Learning Without Forgetting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Orderless Recurrent Models for Multi-Label Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Yazici_2020_CVPR,
author = {Yazici, Vacit Oguz and Gonzalez-Garcia, Abel and Ramisa, Arnau and Twardowski, Bartlomiej and van de Weijer, Joost},
title = {Orderless Recurrent Models for Multi-Label Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Pan_2020_CVPR,
author = {Pan, Yingwei and Yao, Ting and Li, Yehao and Ngo, Chong-Wah and Mei, Tao},
title = {Exploring Category-Agnostic Clusters for Open-Set Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning When and Where to Zoom With Deep Reinforcement Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Uzkent_2020_CVPR,
author = {Uzkent, Burak and Ermon, Stefano},
title = {Learning When and Where to Zoom With Deep Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Densely Connected Search Space for More Flexible Neural Architecture Search-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Fang_2020_CVPR,
author = {Fang, Jiemin and Sun, Yuzhu and Zhang, Qian and Li, Yuan and Liu, Wenyu and Wang, Xinggang},
title = {Densely Connected Search Space for More Flexible Neural Architecture Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Topological SLAM for Visual Navigation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chaplot_2020_CVPR,
author = {Chaplot, Devendra Singh and Salakhutdinov, Ruslan and Gupta, Abhinav and Gupta, Saurabh},
title = {Neural Topological SLAM for Visual Navigation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Hsu_2020_CVPR,
author = {Hsu, Yen-Chang and Shen, Yilin and Jin, Hongxia and Kira, Zsolt},
title = {Generalized ODIN: Detecting Out-of-Distribution Image Without Learning From Out-of-Distribution Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sequential Motif Profiles and Topological Plots for Offline Signature Verification-
[pdf]
[video]
[bibtex]@InProceedings{Zois_2020_CVPR,
author = {Zois, Elias N. and Zervas, Evangelos and Tsourounis, Dimitrios and Economou, George},
title = {Sequential Motif Profiles and Topological Plots for Offline Signature Verification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Najibi_2020_CVPR,
author = {Najibi, Mahyar and Lai, Guangda and Kundu, Abhijit and Lu, Zhichao and Rathod, Vivek and Funkhouser, Thomas and Pantofaru, Caroline and Ross, David and Davis, Larry S. and Fathi, Alireza},
title = {DOPS: Learning to Detect 3D Objects and Predict Their 3D Shapes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multimodal Categorization of Crisis Events in Social Media-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Abavisani_2020_CVPR,
author = {Abavisani, Mahdi and Wu, Liwei and Hu, Shengli and Tetreault, Joel and Jaimes, Alejandro},
title = {Multimodal Categorization of Crisis Events in Social Media},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Physically Realizable Adversarial Examples for LiDAR Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tu_2020_CVPR,
author = {Tu, James and Ren, Mengye and Manivasagam, Sivabalan and Liang, Ming and Yang, Bin and Du, Richard and Cheng, Frank and Urtasun, Raquel},
title = {Physically Realizable Adversarial Examples for LiDAR Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
STEFANN: Scene Text Editor Using Font Adaptive Neural Network-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Roy_2020_CVPR,
author = {Roy, Prasun and Bhattacharya, Saumik and Ghosh, Subhankar and Pal, Umapada},
title = {STEFANN: Scene Text Editor Using Font Adaptive Neural Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SwapText: Image Based Texts Transfer in Scenes-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Qiangpeng and Huang, Jun and Lin, Wei},
title = {SwapText: Image Based Texts Transfer in Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2020_CVPR,
author = {Xie, Rongchang and Wang, Chunyu and Wang, Yizhou},
title = {MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Local-Global Video-Text Interactions for Temporal Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mun_2020_CVPR,
author = {Mun, Jonghwan and Cho, Minsu and Han, Bohyung},
title = {Local-Global Video-Text Interactions for Temporal Grounding},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps-
[pdf]
[video]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Pengxiang and Chen, Siheng and Metaxas, Dimitris N.},
title = {MotionNet: Joint Perception and Motion Prediction for Autonomous Driving Based on Bird's Eye View Maps},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Improving Action Segmentation via Graph-Based Temporal Reasoning-
[pdf]
[supp]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Yifei and Sugano, Yusuke and Sato, Yoichi},
title = {Improving Action Segmentation via Graph-Based Temporal Reasoning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Chi and Cai, Yujun and Lin, Guosheng and Shen, Chunhua},
title = {DeepEMD: Few-Shot Image Classification With Differentiable Earth Mover's Distance and Structured Classifiers},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Conditional Gaussian Distribution Learning for Open Set Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Xin and Yang, Zhenning and Zhang, Chi and Ling, Keck-Voon and Peng, Guohao},
title = {Conditional Gaussian Distribution Learning for Open Set Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
D2Det: Towards High Quality Object Detection and Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Cao_2020_CVPR,
author = {Cao, Jiale and Cholakkal, Hisham and Anwer, Rao Muhammad and Khan, Fahad Shahbaz and Pang, Yanwei and Shao, Ling},
title = {D2Det: Towards High Quality Object Detection and Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Classification and Localization for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Yue and Chen, Yinpeng and Yuan, Lu and Liu, Zicheng and Wang, Lijuan and Li, Hongzhi and Fu, Yun},
title = {Rethinking Classification and Localization for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Svoboda_2020_CVPR,
author = {Svoboda, Jan and Anoosheh, Asha and Osendorfer, Christian and Masci, Jonathan},
title = {Two-Stage Peer-Regularized Feature Recombination for Arbitrary Image Style Transfer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chang_2020_CVPR,
author = {Chang, Qi and Qu, Hui and Zhang, Yikai and Sabuncu, Mert and Chen, Chao and Zhang, Tong and Metaxas, Dimitris N.},
title = {Synthetic Learning: Learn From Distributed Asynchronized Discriminator GAN Without Sharing Medical Image Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image-
[pdf]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Yun-Hsuan and Chen, Wen-Chin and Chuang, Yung-Yu},
title = {BEDSR-Net: A Deep Shadow Removal Network From a Single Document Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Label Decoupling Framework for Salient Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Jun and Wang, Shuhui and Wu, Zhe and Su, Chi and Huang, Qingming and Tian, Qi},
title = {Label Decoupling Framework for Salient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Hang and Chen, Dongdong and Liao, Jing and Chen, Kejiang and Dong, Xiaoyi and Liu, Kunlin and Zhang, Weiming and Hua, Gang and Yu, Nenghai},
title = {LG-GAN: Label Guided Adversarial Network for Flexible Targeted Attack of Point Cloud Based Deep Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition-
[pdf]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Mohan and Bai, Yalong and Zhang, Wei and Zhao, Tiejun and Mei, Tao},
title = {Look-Into-Object: Self-Supervised Structure Modeling for Object Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Inferring Attention Shift Ranks of Objects for Image Saliency-
[pdf]
[supp]
[dataset]
[bibtex]@InProceedings{Siris_2020_CVPR,
author = {Siris, Avishek and Jiao, Jianbo and Tam, Gary K.L. and Xie, Xianghua and Lau, Rynson W.H.},
title = {Inferring Attention Shift Ranks of Objects for Image Saliency},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Music Gesture for Visual Sound Separation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gan_2020_CVPR,
author = {Gan, Chuang and Huang, Deng and Zhao, Hang and Tenenbaum, Joshua B. and Torralba, Antonio},
title = {Music Gesture for Visual Sound Separation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploring Categorical Regularization for Domain Adaptive Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Chang-Dong and Zhao, Xing-Ran and Jin, Xin and Wei, Xiu-Shen},
title = {Exploring Categorical Regularization for Domain Adaptive Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Incremental Learning in Online Scenario-
[pdf]
[arXiv]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Jiangpeng and Mao, Runyu and Shao, Zeman and Zhu, Fengqing},
title = {Incremental Learning in Online Scenario},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xiang and Makihara, Yasushi and Xu, Chi and Yagi, Yasushi and Ren, Mingwu},
title = {Gait Recognition via Semi-supervised Disentangled Representation Learning to Identity and Covariate Features},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Discovering Human Interactions With Novel Objects via Zero-Shot Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Suchen and Yap, Kim-Hui and Yuan, Junsong and Tan, Yap-Peng},
title = {Discovering Human Interactions With Novel Objects via Zero-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Visual Commonsense R-CNN-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Tan and Huang, Jianqiang and Zhang, Hanwang and Sun, Qianru},
title = {Visual Commonsense R-CNN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Squeeze-and-Attention Networks for Semantic Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhong_2020_CVPR,
author = {Zhong, Zilong and Lin, Zhong Qiu and Bidart, Rene and Hu, Xiaodan and Ben Daya, Ibrahim and Li, Zhifeng and Zheng, Wei-Shi and Li, Jonathan and Wong, Alexander},
title = {Squeeze-and-Attention Networks for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
UNAS: Differentiable Architecture Search Meets Reinforcement Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vahdat_2020_CVPR,
author = {Vahdat, Arash and Mallya, Arun and Liu, Ming-Yu and Kautz, Jan},
title = {UNAS: Differentiable Architecture Search Meets Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multiple Anchor Learning for Visual Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ke_2020_CVPR,
author = {Ke, Wei and Zhang, Tianliang and Huang, Zeyi and Ye, Qixiang and Liu, Jianzhuang and Huang, Dong},
title = {Multiple Anchor Learning for Visual Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Explaining Knowledge Distillation by Quantifying the Knowledge-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Xu and Rao, Zhefan and Chen, Yilan and Zhang, Quanshi},
title = {Explaining Knowledge Distillation by Quantifying the Knowledge},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unifying Training and Inference for Panoptic Segmentation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Qizhu and Qi, Xiaojuan and Torr, Philip H.S.},
title = {Unifying Training and Inference for Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scalable Uncertainty for Computer Vision With Functional Variational Inference-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Carvalho_2020_CVPR,
author = {Carvalho, Eduardo D. C. and Clark, Ronald and Nicastro, Andrea and Kelly, Paul H. J.},
title = {Scalable Uncertainty for Computer Vision With Functional Variational Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
X-Linear Attention Networks for Image Captioning-
[pdf]
[bibtex]@InProceedings{Pan_2020_CVPR,
author = {Pan, Yingwei and Yao, Ting and Li, Yehao and Mei, Tao},
title = {X-Linear Attention Networks for Image Captioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Ng_2020_CVPR,
author = {Ng, Evonne and Xiang, Donglai and Joo, Hanbyul and Grauman, Kristen},
title = {You2Me: Inferring Body Pose in Egocentric Video via First and Second Person Interactions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Estimating Low-Rank Region Likelihood Maps-
[pdf]
[bibtex]@InProceedings{Csurka_2020_CVPR,
author = {Csurka, Gabriela and Kato, Zoltan and Juhasz, Andor and Humenberger, Martin},
title = {Estimating Low-Rank Region Likelihood Maps},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yuliang and Chen, Hao and Shen, Chunhua and He, Tong and Jin, Lianwen and Wang, Liangwei},
title = {ABCNet: Real-Time Scene Text Spotting With Adaptive Bezier-Curve Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Gui_2020_CVPR,
author = {Gui, Shurui and Wang, Chaoyue and Chen, Qihua and Tao, Dacheng},
title = {FeatureFlow: Robust Video Interpolation via Structure-to-Texture Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attention-Guided Hierarchical Structure Aggregation for Image Matting-
[pdf]
[supp]
[bibtex]@InProceedings{Qiao_2020_CVPR,
author = {Qiao, Yu and Liu, Yuhao and Yang, Xin and Zhou, Dongsheng and Xu, Mingliang and Zhang, Qiang and Wei, Xiaopeng},
title = {Attention-Guided Hierarchical Structure Aggregation for Image Matting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{PNVR_2020_CVPR,
author = {PNVR, Koutilya and Zhou, Hao and Jacobs, David},
title = {SharinGAN: Combining Synthetic and Real Data for Unsupervised Geometry Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Peng_2020_CVPR,
author = {Peng, Junran and Bu, Xingyuan and Sun, Ming and Zhang, Zhaoxiang and Tan, Tieniu and Yan, Junjie},
title = {Large-Scale Object Detection in the Wild From Imbalanced Multi-Labels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AugFPN: Improving Multi-Scale Feature Learning for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Chaoxu and Fan, Bin and Zhang, Qian and Xiang, Shiming and Pan, Chunhong},
title = {AugFPN: Improving Multi-Scale Feature Learning for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Residual Flow for Out of Distribution Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zisselman_2020_CVPR,
author = {Zisselman, Ev and Tamar, Aviv},
title = {Deep Residual Flow for Out of Distribution Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias-
[pdf]
[supp]
[bibtex]@InProceedings{Singh_2020_CVPR,
author = {Singh, Krishna Kumar and Mahajan, Dhruv and Grauman, Kristen and Lee, Yong Jae and Feiszli, Matt and Ghadiyaram, Deepti},
title = {Don't Judge an Object by Its Context: Learning to Overcome Contextual Bias},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Qiao_2020_CVPR,
author = {Qiao, Zhi and Zhou, Yu and Yang, Dongbao and Zhou, Yucan and Wang, Weiping},
title = {SEED: Semantics Enhanced Encoder-Decoder Framework for Scene Text Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Ronghang and Singh, Amanpreet and Darrell, Trevor and Rohrbach, Marcus},
title = {Iterative Answer Prediction With Pointer-Augmented Multimodal Transformers for TextVQA},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
iTAML: An Incremental Task-Agnostic Meta-learning Approach-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Rajasegaran_2020_CVPR,
author = {Rajasegaran, Jathushan and Khan, Salman and Hayat, Munawar and Khan, Fahad Shahbaz and Shah, Mubarak},
title = {iTAML: An Incremental Task-Agnostic Meta-learning Approach},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Open Compound Domain Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Ziwei and Miao, Zhongqi and Pan, Xingang and Zhan, Xiaohang and Lin, Dahua and Yu, Stella X. and Gong, Boqing},
title = {Open Compound Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Sriram_2020_CVPR,
author = {Sriram, Anuroop and Zbontar, Jure and Murrell, Tullie and Zitnick, C. Lawrence and Defazio, Aaron and Sodickson, Daniel K.},
title = {GrappaNet: Combining Parallel Imaging With Deep Learning for Multi-Coil MRI Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wan_2020_CVPR,
author = {Wan, Alvin and Dai, Xiaoliang and Zhang, Peizhao and He, Zijian and Tian, Yuandong and Xie, Saining and Wu, Bichen and Yu, Matthew and Xu, Tao and Chen, Kan and Vajda, Peter and Gonzalez, Joseph E.},
title = {FBNetV2: Differentiable Neural Architecture Search for Spatial and Channel Dimensions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Webly Supervised Knowledge Embedding Model for Visual Reasoning-
[pdf]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Wenbo and Yan, Lan and Gou, Chao and Wang, Fei-Yue},
title = {Webly Supervised Knowledge Embedding Model for Visual Reasoning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scale-Equalizing Pyramid Convolution for Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Xinjiang and Zhang, Shilong and Yu, Zhuoran and Feng, Litong and Zhang, Wayne},
title = {Scale-Equalizing Pyramid Convolution for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Selective Self-Mutual Attention for RGB-D Saliency Detection-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Nian and Zhang, Ni and Han, Junwei},
title = {Learning Selective Self-Mutual Attention for RGB-D Saliency Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Prior Guided GAN Based Semantic Inpainting-
[pdf]
[bibtex]@InProceedings{Lahiri_2020_CVPR,
author = {Lahiri, Avisek and Jain, Arnav Kumar and Agrawal, Sanskar and Mitra, Pabitra and Biswas, Prabir Kumar},
title = {Prior Guided GAN Based Semantic Inpainting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning-
[pdf]
[video]
[bibtex]@InProceedings{Spencer_2020_CVPR,
author = {Spencer, Jaime and Bowden, Richard and Hadfield, Simon},
title = {DeFeat-Net: General Monocular Depth via Simultaneous Unsupervised Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Regularizing Class-Wise Predictions via Self-Knowledge Distillation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yun_2020_CVPR,
author = {Yun, Sukmin and Park, Jongjin and Lee, Kimin and Shin, Jinwoo},
title = {Regularizing Class-Wise Predictions via Self-Knowledge Distillation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Modality Shifting Attention Network for Multi-Modal Video Question Answering-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Junyeong and Ma, Minuk and Pham, Trung and Kim, Kyungsu and Yoo, Chang D.},
title = {Modality Shifting Attention Network for Multi-Modal Video Question Answering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Fengda and Zhu, Yi and Chang, Xiaojun and Liang, Xiaodan},
title = {Vision-Language Navigation With Self-Supervised Auxiliary Reasoning Tasks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hypergraph Attention Networks for Multimodal Learning-
[pdf]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Eun-Sol and Kang, Woo Young and On, Kyoung-Woon and Heo, Yu-Jung and Zhang, Byoung-Tak},
title = {Hypergraph Attention Networks for Multimodal Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real-
[pdf]
[supp]
[bibtex]@InProceedings{Rao_2020_CVPR,
author = {Rao, Kanishka and Harris, Chris and Irpan, Alex and Levine, Sergey and Ibarz, Julian and Khansari, Mohi},
title = {RL-CycleGAN: Reinforcement Learning Aware Simulation-to-Real},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Instance Segmentation Tracking With a Modified VAE Architecture-
[pdf]
[supp]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Chung-Ching and Hung, Ying and Feris, Rogerio and He, Linglin},
title = {Video Instance Segmentation Tracking With a Modified VAE Architecture},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Dimensional Convolutional Networks for Geometric Pattern Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Choy_2020_CVPR,
author = {Choy, Christopher and Lee, Junha and Ranftl, Rene and Park, Jaesik and Koltun, Vladlen},
title = {High-Dimensional Convolutional Networks for Geometric Pattern Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AOWS: Adaptive and Optimal Network Width Search With Latency Constraints-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Berman_2020_CVPR,
author = {Berman, Maxim and Pishchulin, Leonid and Xu, Ning and Blaschko, Matthew B. and Medioni, Gerard},
title = {AOWS: Adaptive and Optimal Network Width Search With Latency Constraints},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attentive Weights Generation for Few Shot Learning via Information Maximization-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Yiluan and Cheung, Ngai-Man},
title = {Attentive Weights Generation for Few Shot Learning via Information Maximization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepLPF: Deep Local Parametric Filters for Image Enhancement-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moran_2020_CVPR,
author = {Moran, Sean and Marza, Pierre and McDonagh, Steven and Parisot, Sarah and Slabaugh, Gregory},
title = {DeepLPF: Deep Local Parametric Filters for Image Enhancement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Graph-Based Depth Refinement and Normal Estimation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Rossi_2020_CVPR,
author = {Rossi, Mattia and El Gheche, Mireille and Kuhn, Andreas and Frossard, Pascal},
title = {Joint Graph-Based Depth Refinement and Normal Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Recognizing Objects From Any View With Object and Viewer-Centered Representations-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Sainan and Nguyen, Vincent and Rehg, Isaac and Tu, Zhuowen},
title = {Recognizing Objects From Any View With Object and Viewer-Centered Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Segment the Tail-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Xinting and Jiang, Yi and Tang, Kaihua and Chen, Jingyuan and Miao, Chunyan and Zhang, Hanwang},
title = {Learning to Segment the Tail},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks-
[pdf]
[supp]
[arXiv]
[video]
[dataset]
[bibtex]@InProceedings{Shridhar_2020_CVPR,
author = {Shridhar, Mohit and Thomason, Jesse and Gordon, Daniel and Bisk, Yonatan and Han, Winson and Mottaghi, Roozbeh and Zettlemoyer, Luke and Fox, Dieter},
title = {ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Object Detection Under Occlusion With Context-Aware CompositionalNets-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Angtian and Sun, Yihong and Kortylewski, Adam and Yuille, Alan L.},
title = {Robust Object Detection Under Occlusion With Context-Aware CompositionalNets},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Bo and Ghiasi, Golnaz and Liu, Hanxiao and Lin, Tsung-Yi and Kalenichenko, Dmitry and Adam, Hartwig and Le, Quoc V.},
title = {MnasFPN: Learning Latency-Aware Pyramid Architecture for Object Detection on Mobile Devices},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Joung_2020_CVPR,
author = {Joung, Sunghun and Kim, Seungryong and Kim, Hanjae and Kim, Minsu and Kim, Ig-Jae and Cho, Junghyun and Sohn, Kwanghoon},
title = {Cylindrical Convolutional Networks for Joint Object Detection and Viewpoint Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Ramos_2020_CVPR,
author = {Ramos, Washington and Silva, Michel and Araujo, Edson and Marcolino, Leandro Soriano and Nascimento, Erickson},
title = {Straight to the Point: Fast-Forwarding Videos via Reinforcement Learning Using Textual Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Han_2020_CVPR,
author = {Han, Wenyu and Xiang, Siyuan and Liu, Chenhui and Wang, Ruoyu and Feng, Chen},
title = {SPARE3D: A Dataset for SPAtial REasoning on Three-View Line Drawings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Han_2020_CVPR,
author = {Han, Zongyan and Fu, Zhenyong and Yang, Jian},
title = {Learning the Redundancy-Free Features for Generalized Zero-Shot Object Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Ren_2020_CVPR,
author = {Ren, Zhongzheng and Yu, Zhiding and Yang, Xiaodong and Liu, Ming-Yu and Lee, Yong Jae and Schwing, Alexander G. and Kautz, Jan},
title = {Instance-Aware, Context-Focused, and Memory-Efficient Weakly Supervised Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Zhonghao and Yu, Mo and Wei, Yunchao and Feris, Rogerio and Xiong, Jinjun and Hwu, Wen-mei and Huang, Thomas S. and Shi, Honghui},
title = {Differential Treatment for Stuff and Things: A Simple Unsupervised Domain Adaptation Method for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
One-Shot Adversarial Attacks on Visual Tracking With Dual Attention-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Xuesong and Yan, Xiyu and Zheng, Feng and Jiang, Yong and Xia, Shu-Tao and Zhao, Yong and Ji, Rongrong},
title = {One-Shot Adversarial Attacks on Visual Tracking With Dual Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Object Grounding Using Semantic Roles in Language Description-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sadhu_2020_CVPR,
author = {Sadhu, Arka and Chen, Kan and Nevatia, Ram},
title = {Video Object Grounding Using Semantic Roles in Language Description},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context Prior for Scene Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Changqian and Wang, Jingbo and Gao, Changxin and Yu, Gang and Shen, Chunhua and Sang, Nong},
title = {Context Prior for Scene Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Binarizing MobileNet via Evolution-Based Searching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Phan_2020_CVPR,
author = {Phan, Hai and Liu, Zechun and Huynh, Dang and Savvides, Marios and Cheng, Kwang-Ting and Shen, Zhiqiang},
title = {Binarizing MobileNet via Evolution-Based Searching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Hierarchical Down-Sampling for Point Cloud Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Nezhadarya_2020_CVPR,
author = {Nezhadarya, Ehsan and Taghavi, Ehsan and Razani, Ryan and Liu, Bingbing and Luo, Jun},
title = {Adaptive Hierarchical Down-Sampling for Point Cloud Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Multi-View Camera Relocalization With Graph Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Xue_2020_CVPR,
author = {Xue, Fei and Wu, Xin and Cai, Shaojun and Wang, Junqiu},
title = {Learning Multi-View Camera Relocalization With Graph Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distortion Agnostic Deep Watermarking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Xiyang and Zhan, Ruohan and Chang, Huiwen and Yang, Feng and Milanfar, Peyman},
title = {Distortion Agnostic Deep Watermarking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation-
[pdf]
[video]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Jiaming and Chen, Linghao and Xie, Yiming and Zhang, Siyu and Jiang, Qinhong and Zhou, Xiaowei and Bao, Hujun},
title = {Disp R-CNN: Stereo 3D Object Detection via Shape Prior Guided Instance Disparity Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Episode-Based Prototype Generating Network for Zero-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Yunlong and Ji, Zhong and Han, Jungong and Zhang, Zhongfei},
title = {Episode-Based Prototype Generating Network for Zero-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zhizheng and Lan, Cuiling and Zeng, Wenjun and Chen, Zhibo},
title = {Multi-Granularity Reference-Aided Attentive Feature Aggregation for Video-Based Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semi-Supervised Semantic Segmentation With Cross-Consistency Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Ouali_2020_CVPR,
author = {Ouali, Yassine and Hudelot, Celine and Tami, Myriam},
title = {Semi-Supervised Semantic Segmentation With Cross-Consistency Training},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GaitPart: Temporal Part-Based Model for Gait Recognition-
[pdf]
[bibtex]@InProceedings{Fan_2020_CVPR,
author = {Fan, Chao and Peng, Yunjie and Cao, Chunshui and Liu, Xu and Hou, Saihui and Chi, Jiannan and Huang, Yongzhen and Li, Qing and He, Zhiqiang},
title = {GaitPart: Temporal Part-Based Model for Gait Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack-
[pdf]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Zhezhi and Rakin, Adnan Siraj and Li, Jingtao and Chakrabarti, Chaitali and Fan, Deliang},
title = {Defending and Harnessing the Bit-Flip Based Adversarial Weight Attack},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dense Regression Network for Video Grounding-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2020_CVPR,
author = {Zeng, Runhao and Xu, Haoming and Huang, Wenbing and Chen, Peihao and Tan, Mingkui and Gan, Chuang},
title = {Dense Regression Network for Video Grounding},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TITAN: Future Forecast Using Action Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Malla_2020_CVPR,
author = {Malla, Srikanth and Dariush, Behzad and Choi, Chiho},
title = {TITAN: Future Forecast Using Action Priors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Ahmed_2020_CVPR,
author = {Ahmed, Sk Miraj and Lejbolle, Aske R. and Panda, Rameswar and Roy-Chowdhury, Amit K.},
title = {Camera On-Boarding for Person Re-Identification Using Hypothesis Transfer Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
EfficientDet: Scalable and Efficient Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Tan_2020_CVPR,
author = {Tan, Mingxing and Pang, Ruoming and Le, Quoc V.},
title = {EfficientDet: Scalable and Efficient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Chaoning and Benz, Philipp and Imtiaz, Tooba and Kweon, In So},
title = {Understanding Adversarial Examples From the Mutual Influence of Images and Perturbations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Bender_2020_CVPR,
author = {Bender, Gabriel and Liu, Hanxiao and Chen, Bo and Chu, Grace and Cheng, Shuyang and Kindermans, Pieter-Jan and Le, Quoc V.},
title = {Can Weight Sharing Outperform Random Architecture Search? An Investigation With TuNAS},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network-
[pdf]
[video]
[bibtex]@InProceedings{Han_2020_CVPR,
author = {Han, Bing and Srinivasan, Gopalakrishnan and Roy, Kaushik},
title = {RMP-SNN: Residual Membrane Potential Neuron for Enabling Deeper High-Accuracy and Low-Latency Spiking Neural Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adversarial Feature Hallucination Networks for Few-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Kai and Zhang, Yulun and Li, Kunpeng and Fu, Yun},
title = {Adversarial Feature Hallucination Networks for Few-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Bammey_2020_CVPR,
author = {Bammey, Quentin and von Gioi, Rafael Grompone and Morel, Jean-Michel},
title = {An Adaptive Neural Network for Unsupervised Mosaic Consistency Analysis in Image Forensics},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Camgoz_2020_CVPR,
author = {Camgoz, Necati Cihan and Koller, Oscar and Hadfield, Simon and Bowden, Richard},
title = {Sign Language Transformers: Joint End-to-End Sign Language Recognition and Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Context-Aware Loss Function for Action Spotting in Soccer Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cioppa_2020_CVPR,
author = {Cioppa, Anthony and Deliege, Adrien and Giancola, Silvio and Ghanem, Bernard and Van Droogenbroeck, Marc and Gade, Rikke and Moeslund, Thomas B.},
title = {A Context-Aware Loss Function for Action Spotting in Soccer Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
The Edge of Depth: Explicit Constraints Between Segmentation and Depth-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Shengjie and Brazil, Garrick and Liu, Xiaoming},
title = {The Edge of Depth: Explicit Constraints Between Segmentation and Depth},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Shikai and Wang, Jianfeng and Chen, Yuedong and Shi, Zhongchao and Geng, Xin and Rui, Yong},
title = {Label Distribution Learning on Auxiliary Label Space Graphs for Facial Expression Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Yan and Wu, Yue and Liu, Bin and Zhang, Tianzhu and Li, Baopu and Chu, Qi and Yu, Nenghai},
title = {Cross-Modality Person Re-Identification With Shared-Specific Feature Transfer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning a Unified Sample Weighting Network for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cai_2020_CVPR,
author = {Cai, Qi and Pan, Yingwei and Wang, Yu and Liu, Jingen and Yao, Ting and Mei, Tao},
title = {Learning a Unified Sample Weighting Network for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Zhen_2020_CVPR,
author = {Zhen, Mingmin and Wang, Jinglu and Zhou, Lei and Li, Shiwei and Shen, Tianwei and Shang, Jiaxiang and Fang, Tian and Quan, Long},
title = {Joint Semantic Segmentation and Boundary Detection Using Iterative Pyramid Contexts},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Ze and Fu, Zhihang and Jiang, Rongxin and Chen, Yaowu and Hua, Xian-Sheng},
title = {SLV: Spatial Likelihood Voting for Weakly Supervised Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Superpixel-Guided Attentional Adversarial Attack-
[pdf]
[supp]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Xiaoyi and Han, Jiangfan and Chen, Dongdong and Liu, Jiayang and Bian, Huanyu and Ma, Zehua and Li, Hongsheng and Wang, Xiaogang and Zhang, Weiming and Yu, Nenghai},
title = {Robust Superpixel-Guided Attentional Adversarial Attack},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MMTM: Multimodal Transfer Module for CNN Fusion-
[pdf]
[arXiv]
[bibtex]@InProceedings{Joze_2020_CVPR,
author = {Joze, Hamid Reza Vaezi and Shaban, Amirreza and Iuzzolino, Michael L. and Koishida, Kazuhito},
title = {MMTM: Multimodal Transfer Module for CNN Fusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yan_2020_CVPR,
author = {Yan, Wending and Sharma, Aashish and Tan, Robby T.},
title = {Optical Flow in Dense Foggy Scenes Using Semi-Supervised Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Memory-Guided Normality for Anomaly Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Park_2020_CVPR,
author = {Park, Hyunjong and Noh, Jongyoun and Ham, Bumsub},
title = {Learning Memory-Guided Normality for Anomaly Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MLCVNet: Multi-Level Context VoteNet for 3D Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2020_CVPR,
author = {Xie, Qian and Lai, Yu-Kun and Wu, Jing and Wang, Zhoutao and Zhang, Yiming and Xu, Kai and Wang, Jun},
title = {MLCVNet: Multi-Level Context VoteNet for 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions-
[pdf]
[arXiv]
[bibtex]@InProceedings{Selvaraju_2020_CVPR,
author = {Selvaraju, Ramprasaath R. and Tendulkar, Purva and Parikh, Devi and Horvitz, Eric and Ribeiro, Marco Tulio and Nushi, Besmira and Kamar, Ece},
title = {SQuINTing at VQA Models: Introspecting VQA Models With Sub-Questions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Jiyang and Sun, Chen and Zhao, Hang and Shen, Yi and Anguelov, Dragomir and Li, Congcong and Schmid, Cordelia},
title = {VectorNet: Encoding HD Maps and Agent Dynamics From Vectorized Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Through Fog High-Resolution Imaging Using Millimeter Wave Radar-
[pdf]
[supp]
[bibtex]@InProceedings{Guan_2020_CVPR,
author = {Guan, Junfeng and Madani, Sohrab and Jog, Suraj and Gupta, Saurabh and Hassanieh, Haitham},
title = {Through Fog High-Resolution Imaging Using Millimeter Wave Radar},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Learning of Video-Induced Visual Invariances-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tschannen_2020_CVPR,
author = {Tschannen, Michael and Djolonga, Josip and Ritter, Marvin and Mahendran, Aravindh and Houlsby, Neil and Gelly, Sylvain and Lucic, Mario},
title = {Self-Supervised Learning of Video-Induced Visual Invariances},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Butterfly Transform: An Efficient FFT Based Neural Architecture Design-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{vahid_2020_CVPR,
author = {vahid, Keivan Alizadeh and Prabhu, Anish and Farhadi, Ali and Rastegari, Mohammad},
title = {Butterfly Transform: An Efficient FFT Based Neural Architecture Design},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Domain Detection via Graph-Induced Prototype Alignment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Minghao and Wang, Hang and Ni, Bingbing and Tian, Qi and Zhang, Wenjun},
title = {Cross-Domain Detection via Graph-Induced Prototype Alignment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What Makes Training Multi-Modal Classification Networks Hard?-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Weiyao and Tran, Du and Feiszli, Matt},
title = {What Makes Training Multi-Modal Classification Networks Hard?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sparse Layered Graphs for Multi-Object Segmentation-
[pdf]
[supp]
[bibtex]@InProceedings{Jeppesen_2020_CVPR,
author = {Jeppesen, Niels and Christensen, Anders N. and Dahl, Vedrana A. and Dahl, Anders B.},
title = {Sparse Layered Graphs for Multi-Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Class-Incremental Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tao_2020_CVPR,
author = {Tao, Xiaoyu and Hong, Xiaopeng and Chang, Xinyuan and Dong, Songlin and Wei, Xing and Gong, Yihong},
title = {Few-Shot Class-Incremental Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Zhonghua and Tao, Qingyi and Lin, Guosheng and Cai, Jianfei},
title = {Exploring Bottom-Up and Top-Down Cues With Attentive Learning for Webly Supervised Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Du_2020_CVPR,
author = {Du, Xianzhi and Lin, Tsung-Yi and Jin, Pengchong and Ghiasi, Golnaz and Tan, Mingxing and Cui, Yin and Le, Quoc V. and Song, Xiaodan},
title = {SpineNet: Learning Scale-Permuted Backbone for Recognition and Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Park_2020_CVPR,
author = {Park, Keunhong and Mousavian, Arsalan and Xiang, Yu and Fox, Dieter},
title = {LatentFusion: End-to-End Differentiable Reconstruction and Rendering for Unseen Object Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Offset Bin Classification Network for Accurate Object Detection-
[pdf]
[bibtex]@InProceedings{Qiu_2020_CVPR,
author = {Qiu, Heqian and Li, Hongliang and Wu, Qingbo and Shi, Hengcan},
title = {Offset Bin Classification Network for Accurate Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Lokhande_2020_CVPR,
author = {Lokhande, Vishnu Suresh and Tasneeyapant, Songwong and Venkatesh, Abhay and Ravi, Sathya N. and Singh, Vikas},
title = {Generating Accurate Pseudo-Labels in Semi-Supervised Learning and Avoiding Overconfident Predictions via Hermite Polynomial Activations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Chaoyang and Ye, Haishan and Shen, Li and Zhang, Tong},
title = {MiLeNAS: Efficient Neural Architecture Search via Mixed-Level Reformulation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
G-TAD: Sub-Graph Localization for Temporal Action Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Mengmeng and Zhao, Chen and Rojas, David S. and Thabet, Ali and Ghanem, Bernard},
title = {G-TAD: Sub-Graph Localization for Temporal Action Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Saliency Propagation for Semi-Supervised Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Yanzhao and Wang, Xin and Jiao, Jianbin and Darrell, Trevor and Yu, Fisher},
title = {Learning Saliency Propagation for Semi-Supervised Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dataless Model Selection With the Deep Frame Potential-
[pdf]
[arXiv]
[bibtex]@InProceedings{Murdock_2020_CVPR,
author = {Murdock, Calvin and Lucey, Simon},
title = {Dataless Model Selection With the Deep Frame Potential},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MUXConv: Information Multiplexing in Convolutional Neural Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Zhichao and Deb, Kalyanmoy and Boddeti, Vishnu Naresh},
title = {MUXConv: Information Multiplexing in Convolutional Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Segment 3D Point Clouds in 2D Image Space-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lyu_2020_CVPR,
author = {Lyu, Yecheng and Huang, Xinming and Zhang, Ziming},
title = {Learning to Segment 3D Point Clouds in 2D Image Space},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interactive Image Segmentation With First Click Attention-
[pdf]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Zheng and Zhang, Zhao and Chen, Lin-Zhuo and Cheng, Ming-Ming and Lu, Shao-Ping},
title = {Interactive Image Segmentation With First Click Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Ji_2020_CVPR,
author = {Ji, Ruyi and Wen, Longyin and Zhang, Libo and Du, Dawei and Wu, Yanjun and Zhao, Chen and Liu, Xianglong and Huang, Feiyue},
title = {Attention Convolutional Binary Neural Tree for Fine-Grained Visual Categorization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Convolution: Attention Over Convolution Kernels-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Yinpeng and Dai, Xiyang and Liu, Mengchen and Chen, Dongdong and Yuan, Lu and Liu, Zicheng},
title = {Dynamic Convolution: Attention Over Convolution Kernels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transform and Tell: Entity-Aware News Image Captioning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tran_2020_CVPR,
author = {Tran, Alasdair and Mathews, Alexander and Xie, Lexing},
title = {Transform and Tell: Entity-Aware News Image Captioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Yuan and Bai, Haoping and Jie, Zequn and Ma, Jiayi and Jia, Kui and Liu, Wei},
title = {MTL-NAS: Task-Agnostic Neural Architecture Search Towards General-Purpose Multi-Task Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
12-in-1: Multi-Task Vision and Language Representation Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Jiasen and Goswami, Vedanuj and Rohrbach, Marcus and Parikh, Devi and Lee, Stefan},
title = {12-in-1: Multi-Task Vision and Language Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Guen_2020_CVPR,
author = {Le Guen, Vincent and Thome, Nicolas},
title = {Disentangling Physical Dynamics From Unknown Factors for Unsupervised Video Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Abbasnejad_2020_CVPR,
author = {Abbasnejad, Ehsan and Abbasnejad, Iman and Wu, Qi and Shi, Javen and van den Hengel, Anton},
title = {Gold Seeker: Information Gain From Policy Distributions for Goal-Oriented Vision-and-Langauge Reasoning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context-
[pdf]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Chenchen and Jin, Yang and Xu, Kehan and Gong, Guoqiang and Mu, Yadong},
title = {Beyond Short-Term Snippet: Video Relation Detection With Spatio-Temporal Global Context},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ibrahim_2020_CVPR,
author = {Ibrahim, Mostafa S. and Vahdat, Arash and Ranjbar, Mani and Macready, William G.},
title = {Semi-Supervised Semantic Image Segmentation With Self-Correcting Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Boyan and Cui, Quan and Wei, Xiu-Shen and Chen, Zhao-Min},
title = {BBN: Bilateral-Branch Network With Cumulative Learning for Long-Tailed Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval-
[pdf]
[arXiv]
[bibtex]@InProceedings{Bhunia_2020_CVPR,
author = {Bhunia, Ayan Kumar and Yang, Yongxin and Hospedales, Timothy M. and Xiang, Tao and Song, Yi-Zhe},
title = {Sketch Less for More: On-the-Fly Fine-Grained Sketch-Based Image Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zhishuai and Gao, Jiyang and Mao, Junhua and Liu, Yukai and Anguelov, Dragomir and Li, Congcong},
title = {STINet: Spatio-Temporal-Interactive Network for Pedestrian Detection and Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Qi and Wu, Qi and Tang, Rui and Wang, Yuhan and Wang, Shuai and Tan, Mingkui},
title = {Intelligent Home 3D: Automatic 3D-House Design From Linguistic Descriptions Only},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Mask Encoding for Single Shot Instance Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Rufeng and Tian, Zhi and Shen, Chunhua and You, Mingyu and Yan, Youliang},
title = {Mask Encoding for Single Shot Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Zhiwei and Li, Guoxuan and Liao, Yue and Wang, Fei and Ren, Pengju and Qian, Chen},
title = {CentripetalNet: Pursuing High-Quality Keypoint Pairs for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Feature Embedding for Attribute Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Jie and Fan, Jiarou and Wang, Yiru and Wang, Yige and Gan, Weihao and Liu, Lin and Wu, Wei},
title = {Hierarchical Feature Embedding for Attribute Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Mixture Dense Regression for Object Detection and Human Pose Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Varamesh_2020_CVPR,
author = {Varamesh, Ali and Tuytelaars, Tinne},
title = {Mixture Dense Regression for Object Detection and Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Don't Even Look Once: Synthesizing Features for Zero-Shot Detection-
[pdf]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Pengkai and Wang, Hanxiao and Saligrama, Venkatesh},
title = {Don't Even Look Once: Synthesizing Features for Zero-Shot Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Detection in Crowded Scenes: One Proposal, Multiple Predictions-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chu_2020_CVPR,
author = {Chu, Xuangeng and Zheng, Anlin and Zhang, Xiangyu and Sun, Jian},
title = {Detection in Crowded Scenes: One Proposal, Multiple Predictions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Background Data Resampling for Outlier-Aware Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yi and Vasconcelos, Nuno},
title = {Background Data Resampling for Outlier-Aware Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Prime Sample Attention in Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Cao_2020_CVPR,
author = {Cao, Yuhang and Chen, Kai and Loy, Chen Change and Lin, Dahua},
title = {Prime Sample Attention in Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Temporal Co-Attention Models for Unsupervised Video Action Localization-
[pdf]
[bibtex]@InProceedings{Gong_2020_CVPR,
author = {Gong, Guoqiang and Wang, Xinghan and Mu, Yadong and Tian, Qi},
title = {Learning Temporal Co-Attention Models for Unsupervised Video Action Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
NAS-FCOS: Fast Neural Architecture Search for Object Detection-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Ning and Gao, Yang and Chen, Hao and Wang, Peng and Tian, Zhi and Shen, Chunhua and Zhang, Yanning},
title = {NAS-FCOS: Fast Neural Architecture Search for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Enhancing Generic Segmentation With Learned Region Representations-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Isaacs_2020_CVPR,
author = {Isaacs, Or and Shayer, Oran and Lindenbaum, Michael},
title = {Enhancing Generic Segmentation With Learned Region Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What's Hidden in a Randomly Weighted Neural Network?-
[pdf]
[supp]
[bibtex]@InProceedings{Ramanujan_2020_CVPR,
author = {Ramanujan, Vivek and Wortsman, Mitchell and Kembhavi, Aniruddha and Farhadi, Ali and Rastegari, Mohammad},
title = {What's Hidden in a Randomly Weighted Neural Network?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Myeongjin and Byun, Hyeran},
title = {Learning Texture Invariant Representation for Domain Adaptation of Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VQA With No Questions-Answers Training-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Vatashsky_2020_CVPR,
author = {Vatashsky, Ben-Zion and Ullman, Shimon},
title = {VQA With No Questions-Answers Training},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Fu_2020_CVPR,
author = {Fu, Han and Wu, Rui and Liu, Chenghao and Sun, Jianling},
title = {MCEN: Bridging Cross-Modal Gap between Cooking Recipes and Dish Images with Latent Variable Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yazhao and Pang, Yanwei and Shen, Jianbing and Cao, Jiale and Shao, Ling},
title = {NETNet: Neighbor Erasing and Transferring Network for Better Single Shot Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Detailed 2D-3D Joint Representation for Human-Object Interaction-
[pdf]
[arXiv]
[dataset]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yong-Lu and Liu, Xinpeng and Lu, Han and Wang, Shiyi and Liu, Junqi and Li, Jiefeng and Lu, Cewu},
title = {Detailed 2D-3D Joint Representation for Human-Object Interaction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors-
[pdf]
[supp]
[video]
[dataset]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Edward and Gopinath, Divya and Pasareanu, Corina and Seshia, Sanjit A.},
title = {A Programmatic and Semantic Approach to Explaining and Debugging Neural Network Based Object Detectors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Qilong and Wu, Banggu and Zhu, Pengfei and Li, Peihua and Zuo, Wangmeng and Hu, Qinghua},
title = {ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Haoran and Chen, Honghua and Feng, Yidan and Wang, Qiong and Qin, Jing and Xie, Haoran and Wang, Fu Lee and Wei, Mingqiang and Wang, Jun},
title = {Geometry and Learning Co-Supported Normal Estimation for Unstructured Point Cloud},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DR Loss: Improving Object Detection by Distributional Ranking-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qian_2020_CVPR,
author = {Qian, Qi and Chen, Lei and Li, Hao and Jin, Rong},
title = {DR Loss: Improving Object Detection by Distributional Ranking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Camera Calibration for Broadcast Videos-
[pdf]
[bibtex]@InProceedings{Sha_2020_CVPR,
author = {Sha, Long and Hobbs, Jennifer and Felsen, Panna and Wei, Xinyu and Lucey, Patrick and Ganguly, Sujoy},
title = {End-to-End Camera Calibration for Broadcast Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Zhihong and Chen, Chao and Cheng, Zhaowei and Jiang, Boyuan and Fang, Ke and Jin, Xinyu},
title = {Selective Transfer With Reinforced Transfer Network for Partial Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Head Reenactment with Latent Pose Descriptors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Burkov_2020_CVPR,
author = {Burkov, Egor and Pasechnik, Igor and Grigorev, Artur and Lempitsky, Victor},
title = {Neural Head Reenactment with Latent Pose Descriptors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SaccadeNet: A Fast and Accurate Object Detector-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lan_2020_CVPR,
author = {Lan, Shiyi and Ren, Zhou and Wu, Yi and Davis, Larry S. and Hua, Gang},
title = {SaccadeNet: A Fast and Accurate Object Detector},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Augmentation Network via Influence Functions-
[pdf]
[supp]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Donghoon and Park, Hyunsin and Pham, Trung and Yoo, Chang D.},
title = {Learning Augmentation Network via Influence Functions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Robust 3D Point Recognition via Gather-Vector Guidance-
[pdf]
[supp]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Xiaoyi and Chen, Dongdong and Zhou, Hang and Hua, Gang and Zhang, Weiming and Yu, Nenghai},
title = {Self-Robust 3D Point Recognition via Gather-Vector Guidance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Jun and Wu, Fuxiang and Tian, Yanling and Wang, Lei and Tao, Dapeng},
title = {RiFeGAN: Rich Feature Generation for Text-to-Image Synthesis From Prior Knowledge},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Lange_2020_CVPR,
author = {De Lange, Matthias and Jia, Xu and Parisot, Sarah and Leonardis, Ales and Slabaugh, Gregory and Tuytelaars, Tinne},
title = {Unsupervised Model Personalization While Preserving Privacy and Scalability: An Open Problem},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning From Noisy Anchors for One-Stage Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Hengduo and Wu, Zuxuan and Zhu, Chen and Xiong, Caiming and Socher, Richard and Davis, Larry S.},
title = {Learning From Noisy Anchors for One-Stage Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Interactions and Relationships Between Movie Characters-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kukleva_2020_CVPR,
author = {Kukleva, Anna and Tapaswi, Makarand and Laptev, Ivan},
title = {Learning Interactions and Relationships Between Movie Characters},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Hancheng and Li, Leida and Wu, Jinjian and Dong, Weisheng and Shi, Guangming},
title = {MetaIQA: Deep Meta-Learning for No-Reference Image Quality Assessment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RetinaTrack: Online Single Stage Joint Detection and Tracking-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Zhichao and Rathod, Vivek and Votel, Ronny and Huang, Jonathan},
title = {RetinaTrack: Online Single Stage Joint Detection and Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End 3D Point Cloud Instance Segmentation Without Detection-
[pdf]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Haiyong and Yan, Feilong and Cai, Jianfei and Zheng, Jianmin and Xiao, Jun},
title = {End-to-End 3D Point Cloud Instance Segmentation Without Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Noise-Aware Fully Webly Supervised Object Detection-
[pdf]
[bibtex]@InProceedings{Shen_2020_CVPR,
author = {Shen, Yunhang and Ji, Rongrong and Chen, Zhiwei and Hong, Xiaopeng and Zheng, Feng and Liu, Jianzhuang and Xu, Mingliang and Tian, Qi},
title = {Noise-Aware Fully Webly Supervised Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation-
[pdf]
[supp]
[bibtex]@InProceedings{Shao_2020_CVPR,
author = {Shao, Jianzhun and Jiang, Yuhang and Wang, Gu and Li, Zhigang and Ji, Xiangyang},
title = {PFRL: Pose-Free Reinforcement Learning for 6D Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Learning Through Cross-Task Consistency-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zamir_2020_CVPR,
author = {Zamir, Amir R. and Sax, Alexander and Cheerla, Nikhil and Suri, Rohan and Cao, Zhangjie and Malik, Jitendra and Guibas, Leonidas J.},
title = {Robust Learning Through Cross-Task Consistency},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploring Self-Attention for Image Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Hengshuang and Jia, Jiaya and Koltun, Vladlen},
title = {Exploring Self-Attention for Image Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Shape correspondence using anisotropic Chebyshev spectral CNNs-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Qinsong and Liu, Shengjun and Hu, Ling and Liu, Xinru},
title = {Shape correspondence using anisotropic Chebyshev spectral CNNs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Uncertainty-Aware Score Distribution Learning for Action Quality Assessment-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Tang_2020_CVPR,
author = {Tang, Yansong and Ni, Zanlin and Zhou, Jiahuan and Zhang, Danyang and Lu, Jiwen and Wu, Ying and Zhou, Jie},
title = {Uncertainty-Aware Score Distribution Learning for Action Quality Assessment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Bijelic_2020_CVPR,
author = {Bijelic, Mario and Gruber, Tobias and Mannan, Fahim and Kraus, Florian and Ritter, Werner and Dietmayer, Klaus and Heide, Felix},
title = {Seeing Through Fog Without Seeing Fog: Deep Multimodal Sensor Fusion in Unseen Adverse Weather},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Regularization on Spatio-Temporally Smoothed Feature for Action Recognition-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Jinhyung and Cha, Seunghwan and Wee, Dongyoon and Bae, Soonmin and Kim, Junmo},
title = {Regularization on Spatio-Temporally Smoothed Feature for Action Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Invariant Representation for Unsupervised Image Restoration-
[pdf]
[arXiv]
[bibtex]@InProceedings{Du_2020_CVPR,
author = {Du, Wenchao and Chen, Hu and Yang, Hongyu},
title = {Learning Invariant Representation for Unsupervised Image Restoration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Nanoscale Motion Patterns of Vesicles in Living Cells-
[pdf]
[supp]
[bibtex]@InProceedings{Sekh_2020_CVPR,
author = {Sekh, Arif Ahmed and Opstad, Ida Sundvor and Birgisdottir, Asa Birna and Myrmel, Truls and Ahluwalia, Balpreet Singh and Agarwal, Krishna and Prasad, Dilip K.},
title = {Learning Nanoscale Motion Patterns of Vesicles in Living Cells},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Zhengsu and Niu, Jianwei and Xie, Lingxi and Liu, Xuefeng and Wei, Longhui and Tian, Qi},
title = {Network Adjustment: Channel Search Guided by FLOPs Utilization Ratio},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Rui and Yang, Chengxi and Sun, Wenxiu and Wang, Xiaogang and Li, Hongsheng},
title = {StereoGAN: Bridging Synthetic-to-Real Domain Gap by Joint Optimization of Domain Translation and Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Ye_2020_CVPR,
author = {Ye, Shaokai and Wu, Kailu and Zhou, Mu and Yang, Yunfei and Tan, Sia Huat and Xu, Kaidi and Song, Jiebo and Bao, Chenglong and Ma, Kaisheng},
title = {Light-weight Calibrator: A Separable Component for Unsupervised Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Dengsheng and Li, Jun and Wang, Zheng and Xu, Kai},
title = {Learning Canonical Shape Space for Category-Level 6D Object Pose and Size Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Spatial RNN Codec for End-to-End Image Compression-
[pdf]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Chaoyi and Yao, Jiabao and Chen, Fangdong and Wang, Li},
title = {A Spatial RNN Codec for End-to-End Image Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Two Causal Principles for Improving Visual Dialog-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Qi_2020_CVPR,
author = {Qi, Jiaxin and Niu, Yulei and Huang, Jianqiang and Zhang, Hanwang},
title = {Two Causal Principles for Improving Visual Dialog},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ILFO: Adversarial Attack on Adaptive Neural Networks-
[pdf]
[supp]
[bibtex]@InProceedings{Haque_2020_CVPR,
author = {Haque, Mirazul and Chauhan, Anki and Liu, Cong and Yang, Wei},
title = {ILFO: Adversarial Attack on Adaptive Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Evaluate Perception Models Using Planner-Centric Metrics-
[pdf]
[arXiv]
[bibtex]@InProceedings{Philion_2020_CVPR,
author = {Philion, Jonah and Kar, Amlan and Fidler, Sanja},
title = {Learning to Evaluate Perception Models Using Planner-Centric Metrics},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification-
[pdf]
[video]
[bibtex]@InProceedings{Zeng_2020_CVPR,
author = {Zeng, Kaiwei and Ning, Munan and Wang, Yaohua and Guo, Yang},
title = {Hierarchical Clustering With Hard-Batch Triplet Loss for Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Template Matching and Update for Video Object Tracking and Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Mingjie and Xiao, Jimin and Lim, Eng Gee and Zhang, Bingfeng and Zhao, Yao},
title = {Fast Template Matching and Update for Video Object Tracking and Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TCTS: A Task-Consistent Two-Stage Framework for Person Search-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Cheng and Ma, Bingpeng and Chang, Hong and Shan, Shiguang and Chen, Xilin},
title = {TCTS: A Task-Consistent Two-Stage Framework for Person Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Yangtao and Huang, Di and Liu, Songtao and Wang, Yunhong},
title = {Cross-domain Object Detection through Coarse-to-Fine Feature Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Efficient Derivative Computation for Cumulative B-Splines on Lie Groups-
[pdf]
[supp]
[bibtex]@InProceedings{Sommer_2020_CVPR,
author = {Sommer, Christiane and Usenko, Vladyslav and Schubert, David and Demmel, Nikolaus and Cremers, Daniel},
title = {Efficient Derivative Computation for Cumulative B-Splines on Lie Groups},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Counterfactual Vision and Language Learning-
[pdf]
[supp]
[bibtex]@InProceedings{Abbasnejad_2020_CVPR,
author = {Abbasnejad, Ehsan and Teney, Damien and Parvaneh, Amin and Shi, Javen and van den Hengel, Anton},
title = {Counterfactual Vision and Language Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Juncheng and Wang, Xin and Tang, Siliang and Shi, Haizhou and Wu, Fei and Zhuang, Yueting and Wang, William Yang},
title = {Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
M2m: Imbalanced Classification via Major-to-Minor Translation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Jaehyung and Jeong, Jongheon and Shin, Jinwoo},
title = {M2m: Imbalanced Classification via Major-to-Minor Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DSGN: Deep Stereo Geometry Network for 3D Object Detection-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Yilun and Liu, Shu and Shen, Xiaoyong and Jia, Jiaya},
title = {DSGN: Deep Stereo Geometry Network for 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Roddick_2020_CVPR,
author = {Roddick, Thomas and Cipolla, Roberto},
title = {Predicting Semantic Map Representations From Images Using Pyramid Occupancy Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Memory Aggregation Networks for Efficient Interactive Video Object Segmentation-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Miao_2020_CVPR,
author = {Miao, Jiaxu and Wei, Yunchao and Yang, Yi},
title = {Memory Aggregation Networks for Efficient Interactive Video Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel-
[pdf]
[supp]
[bibtex]@InProceedings{Lei_2020_CVPR,
author = {Lei, Huan and Akhtar, Naveed and Mian, Ajmal},
title = {SegGCN: Efficient 3D Point Cloud Segmentation With Fuzzy Spherical Kernel},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yiming and Fu, Changhong and Ding, Fangqiang and Huang, Ziyuan and Lu, Geng},
title = {AutoTrack: Towards High-Performance Visual Tracking for UAV With Automatic Spatio-Temporal Regularization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation-
[pdf]
[video]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Tao and Fu, Huazhu and Gong, Chen and Shen, Jianbing and Shao, Ling and Porikli, Fatih},
title = {Multi-Mutual Consistency Induced Transfer Subspace Learning for Human Motion Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection-
[pdf]
[video]
[bibtex]@InProceedings{Du_2020_CVPR,
author = {Du, Liang and Ye, Xiaoqing and Tan, Xiao and Feng, Jianfeng and Xu, Zhenbo and Ding, Errui and Wen, Shilei},
title = {Associate-3Ddet: Perceptual-to-Conceptual Association for 3D Point Cloud Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Training a Steerable CNN for Guidewire Detection-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Donghang and Barbu, Adrian},
title = {Training a Steerable CNN for Guidewire Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GIFnets: Differentiable GIF Encoding Framework-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yoo_2020_CVPR,
author = {Yoo, Innfarn and Luo, Xiyang and Wang, Yilin and Yang, Feng and Milanfar, Peyman},
title = {GIFnets: Differentiable GIF Encoding Framework},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TRPLP - Trifocal Relative Pose From Lines at Points-
[pdf]
[supp]
[bibtex]@InProceedings{Fabbri_2020_CVPR,
author = {Fabbri, Ricardo and Duff, Timothy and Fan, Hongyi and Regan, Margaret H. and da Costa de Pinho, David and Tsigaridas, Elias and Wampler, Charles W. and Hauenstein, Jonathan D. and Giblin, Peter J. and Kimia, Benjamin and Leykin, Anton and Pajdla, Tomas},
title = {TRPLP - Trifocal Relative Pose From Lines at Points},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SP-NAS: Serial-to-Parallel Backbone Search for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Chenhan and Xu, Hang and Zhang, Wei and Liang, Xiaodan and Li, Zhenguo},
title = {SP-NAS: Serial-to-Parallel Backbone Search for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Haase_2020_CVPR,
author = {Haase, Daniel and Amthor, Manuel},
title = {Rethinking Depthwise Separable Convolutions: How Intra-Kernel Correlations Lead to Improved MobileNets},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Vision-Dialog Navigation by Exploring Cross-Modal Memory-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Yi and Zhu, Fengda and Zhan, Zhaohuan and Lin, Bingqian and Jiao, Jianbin and Chang, Xiaojun and Liang, Xiaodan},
title = {Vision-Dialog Navigation by Exploring Cross-Modal Memory},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PointRend: Image Segmentation As Rendering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Kirillov_2020_CVPR,
author = {Kirillov, Alexander and Wu, Yuxin and He, Kaiming and Girshick, Ross},
title = {PointRend: Image Segmentation As Rendering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Differentiable Adaptive Computation Time for Visual Reasoning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Eyzaguirre_2020_CVPR,
author = {Eyzaguirre, Cristobal and Soto, Alvaro},
title = {Differentiable Adaptive Computation Time for Visual Reasoning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving-
[pdf]
[video]
[bibtex]@InProceedings{Prakash_2020_CVPR,
author = {Prakash, Aditya and Behl, Aseem and Ohn-Bar, Eshed and Chitta, Kashyap and Geiger, Andreas},
title = {Exploring Data Aggregation in Policy Learning for Vision-Based Urban Autonomous Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Geometrically Principled Connections in Graph Neural Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gong_2020_CVPR,
author = {Gong, Shunwang and Bahri, Mehdi and Bronstein, Michael M. and Zafeiriou, Stefanos},
title = {Geometrically Principled Connections in Graph Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Bertinetto_2020_CVPR,
author = {Bertinetto, Luca and Mueller, Romain and Tertikas, Konstantinos and Samangooei, Sina and Lord, Nicholas A.},
title = {Making Better Mistakes: Leveraging Class Hierarchies With Deep Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Telling Left From Right: Learning Spatial Correspondence of Sight and Sound-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Karren and Russell, Bryan and Salamon, Justin},
title = {Telling Left From Right: Learning Spatial Correspondence of Sight and Sound},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Zou_2020_CVPR,
author = {Zou, Zhengxia and Lei, Sen and Shi, Tianyang and Shi, Zhenwei and Ye, Jieping},
title = {Deep Adversarial Decomposition: A Unified Framework for Separating Superimposed Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Accurate Scene Text Recognition With Semantic Reasoning Networks-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Deli and Li, Xuan and Zhang, Chengquan and Liu, Tao and Han, Junyu and Liu, Jingtuo and Ding, Errui},
title = {Towards Accurate Scene Text Recognition With Semantic Reasoning Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Shi-Xue and Zhu, Xiaobin and Hou, Jie-Bo and Liu, Chang and Yang, Chun and Wang, Hongfa and Yin, Xu-Cheng},
title = {Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GP-NAS: Gaussian Process Based Neural Architecture Search-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Zhihang and Xi, Teng and Deng, Jiankang and Zhang, Gang and Wen, Shengzhao and He, Ran},
title = {GP-NAS: Gaussian Process Based Neural Architecture Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Basis Prediction Networks for Effective Burst Denoising With Large Kernels-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xia_2020_CVPR,
author = {Xia, Zhihao and Perazzi, Federico and Gharbi, Michael and Sunkavalli, Kalyan and Chakrabarti, Ayan},
title = {Basis Prediction Networks for Effective Burst Denoising With Large Kernels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Real-World Person Re-Identification via Degradation Invariance Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Yukun and Zha, Zheng-Jun and Fu, Xueyang and Hong, Richang and Li, Liang},
title = {Real-World Person Re-Identification via Degradation Invariance Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Momentum Contrast for Unsupervised Visual Representation Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Kaiming and Fan, Haoqi and Wu, Yuxin and Xie, Saining and Girshick, Ross},
title = {Momentum Contrast for Unsupervised Visual Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Meta-Learning of Neural Architectures for Few-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Elsken_2020_CVPR,
author = {Elsken, Thomas and Staffler, Benedikt and Metzen, Jan Hendrik and Hutter, Frank},
title = {Meta-Learning of Neural Architectures for Few-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Generative Model for Robust Imbalance Classification-
[pdf]
[supp]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Xinyue and Lyu, Yilin and Jing, Liping},
title = {Deep Generative Model for Robust Imbalance Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Arar_2020_CVPR,
author = {Arar, Moab and Ginger, Yiftach and Danon, Dov and Bermano, Amit H. and Cohen-Or, Daniel},
title = {Unsupervised Multi-Modal Image Registration via Geometry Preserving Image-to-Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SCATTER: Selective Context Attentional Scene Text Recognizer-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Litman_2020_CVPR,
author = {Litman, Ron and Anschel, Oron and Tsiper, Shahar and Litman, Roee and Mazor, Shai and Manmatha, R.},
title = {SCATTER: Selective Context Attentional Scene Text Recognizer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Incremental Few-Shot Object Detection-
[pdf]
[bibtex]@InProceedings{Perez-Rua_2020_CVPR,
author = {Perez-Rua, Juan-Manuel and Zhu, Xiatian and Hospedales, Timothy M. and Xiang, Tao},
title = {Incremental Few-Shot Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cloth in the Wind: A Case Study of Physical Measurement Through Simulation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Runia_2020_CVPR,
author = {Runia, Tom F. H. and Gavrilyuk, Kirill and Snoek, Cees G. M. and Smeulders, Arnold W. M.},
title = {Cloth in the Wind: A Case Study of Physical Measurement Through Simulation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generalized Zero-Shot Learning via Over-Complete Distribution-
[pdf]
[arXiv]
[bibtex]@InProceedings{Keshari_2020_CVPR,
author = {Keshari, Rohit and Singh, Richa and Vatsa, Mayank},
title = {Generalized Zero-Shot Learning via Over-Complete Distribution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Xinyu and Liu, Yuliang and Shen, Chunhua and Ng, Chun Chet and Luo, Canjie and Jin, Lianwen and Chan, Chee Seng and van den Hengel, Anton and Wang, Liangwei},
title = {On the General Value of Evidence, and Bilingual Scene-Text Visual Question Answering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Designing Network Design Spaces-
[pdf]
[arXiv]
[bibtex]@InProceedings{Radosavovic_2020_CVPR,
author = {Radosavovic, Ilija and Kosaraju, Raj Prateek and Girshick, Ross and He, Kaiming and Dollar, Piotr},
title = {Designing Network Design Spaces},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Regularizing CNN Transfer Learning With Randomised Regression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhong_2020_CVPR,
author = {Zhong, Yang and Maki, Atsuto},
title = {Regularizing CNN Transfer Learning With Randomised Regression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Yisheng and Sun, Wei and Huang, Haibin and Liu, Jianran and Fan, Haoqiang and Sun, Jian},
title = {PVN3D: A Deep Point-Wise 3D Keypoints Voting Network for 6DoF Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Min_2020_CVPR,
author = {Min, Shaobo and Yao, Hantao and Xie, Hongtao and Wang, Chaoqun and Zha, Zheng-Jun and Zhang, Yongdong},
title = {Domain-Aware Visual Bias Eliminating for Generalized Zero-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Ulutan_2020_CVPR,
author = {Ulutan, Oytun and Iftekhar, A S M and Manjunath, B. S.},
title = {VSGNet: Spatial Attention Network for Detecting Human Object Interactions Using Graph Convolutions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Video Classification via Temporal Alignment-
[pdf]
[arXiv]
[bibtex]@InProceedings{Cao_2020_CVPR,
author = {Cao, Kaidi and Ji, Jingwei and Cao, Zhangjie and Chang, Chien-Yi and Niebles, Juan Carlos},
title = {Few-Shot Video Classification via Temporal Alignment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Density-Aware Graph for Deep Semi-Supervised Visual Recognition-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Suichan and Liu, Bin and Chen, Dongdong and Chu, Qi and Yuan, Lu and Yu, Nenghai},
title = {Density-Aware Graph for Deep Semi-Supervised Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses-
[pdf]
[supp]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Wanqing and Zhang, Shaobo and Guan, Ziyu and Zhao, Wei and Peng, Jinye and Fan, Jianping},
title = {Learning Deep Network for Detecting 3D Object Keypoints and 6D Poses},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments-
[pdf]
[supp]
[arXiv]
[video]
[dataset]
[bibtex]@InProceedings{Qi_2020_CVPR,
author = {Qi, Yuankai and Wu, Qi and Anderson, Peter and Wang, Xin and Wang, William Yang and Shen, Chunhua and van den Hengel, Anton},
title = {REVERIE: Remote Embodied Visual Referring Expression in Real Indoor Environments},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Iterative Surface Normal Estimation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Lenssen_2020_CVPR,
author = {Lenssen, Jan Eric and Osendorfer, Christian and Masci, Jonathan},
title = {Deep Iterative Surface Normal Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Yu-Syuan and Tseng, Shou-Yao Roy and Tseng, Yu and Kuo, Hsien-Kai and Tsai, Yi-Min},
title = {Unified Dynamic Convolutional Network for Super-Resolution With Variational Degradations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Noisier2Noise: Learning to Denoise From Unpaired Noisy Data-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Moran_2020_CVPR,
author = {Moran, Nick and Schmidt, Dan and Zhong, Yu and Coady, Patrick},
title = {Noisier2Noise: Learning to Denoise From Unpaired Noisy Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Kong_2020_CVPR,
author = {Kong, Zelun and Guo, Junfeng and Li, Ang and Liu, Cong},
title = {PhysGAN: Generating Physical-World-Resilient Adversarial Examples for Autonomous Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Paixao_2020_CVPR,
author = {Paixao, Thiago M. and Berriel, Rodrigo F. and Boeres, Maria C. S. and Koerich, Alessandro L. and Badue, Claudine and De Souza, Alberto F. and Oliveira-Santos, Thiago},
title = {Fast(er) Reconstruction of Shredded Text Documents via Self-Supervised Deep Asymmetric Metric Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wada_2020_CVPR,
author = {Wada, Kentaro and Sucar, Edgar and James, Stephen and Lenton, Daniel and Davison, Andrew J.},
title = {MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Singh_2020_CVPR,
author = {Singh, Saurabh and Krishnan, Shankar},
title = {Filter Response Normalization Layer: Eliminating Batch Dependence in the Training of Deep Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Visual Reaction: Learning to Play Catch With Your Drone-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zeng_2020_CVPR,
author = {Zeng, Kuo-Hao and Mottaghi, Roozbeh and Weihs, Luca and Farhadi, Ali},
title = {Visual Reaction: Learning to Play Catch With Your Drone},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to See Through Obstructions-
[pdf]
[supp]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yu-Lun and Lai, Wei-Sheng and Yang, Ming-Hsuan and Chuang, Yung-Yu and Huang, Jia-Bin},
title = {Learning to See Through Obstructions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SpeedNet: Learning the Speediness in Videos-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Benaim_2020_CVPR,
author = {Benaim, Sagie and Ephrat, Ariel and Lang, Oran and Mosseri, Inbar and Freeman, William T. and Rubinstein, Michael and Irani, Michal and Dekel, Tali},
title = {SpeedNet: Learning the Speediness in Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Hui and Ding, Guiguang and Liu, Xudong and Lin, Zijia and Liu, Ji and Han, Jungong},
title = {IMRAM: Iterative Matching With Recurrent Attention Memory for Cross-Modal Image-Text Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Garnot_2020_CVPR,
author = {Garnot, Vivien Sainte Fare and Landrieu, Loic and Giordano, Sebastien and Chehata, Nesrine},
title = {Satellite Image Time Series Classification With Pixel-Set Encoders and Temporal Self-Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Train in Germany, Test in the USA: Making 3D Object Detectors Generalize-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yan and Chen, Xiangyu and You, Yurong and Li, Li Erran and Hariharan, Bharath and Campbell, Mark and Weinberger, Kilian Q. and Chao, Wei-Lun},
title = {Train in Germany, Test in the USA: Making 3D Object Detectors Generalize},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Rongjie and Li, Meng and Ma, Li},
title = {CARP: Compression Through Adaptive Recursive Partitioning for Multi-Dimensional Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Listen to Look: Action Recognition by Previewing Audio-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Ruohan and Oh, Tae-Hyun and Grauman, Kristen and Torresani, Lorenzo},
title = {Listen to Look: Action Recognition by Previewing Audio},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Memory Enhanced Global-Local Aggregation for Video Object Detection-
[pdf]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Yihong and Cao, Yue and Hu, Han and Wang, Liwei},
title = {Memory Enhanced Global-Local Aggregation for Video Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Training With Noisy Student Improves ImageNet Classification-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xie_2020_CVPR,
author = {Xie, Qizhe and Luong, Minh-Thang and Hovy, Eduard and Le, Quoc V.},
title = {Self-Training With Noisy Student Improves ImageNet Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distilling Cross-Task Knowledge via Relationship Matching-
[pdf]
[supp]
[bibtex]@InProceedings{Ye_2020_CVPR,
author = {Ye, Han-Jia and Lu, Su and Zhan, De-Chuan},
title = {Distilling Cross-Task Knowledge via Relationship Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Difei and Li, Ke and Wang, Ruiping and Shan, Shiguang and Chen, Xilin},
title = {Multi-Modal Graph Neural Network for Joint Reasoning on Vision and Scene Text},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Cohen_2020_CVPR,
author = {Cohen, Gilad and Sapiro, Guillermo and Giryes, Raja},
title = {Detecting Adversarial Samples Using Influence Functions and Nearest Neighbors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yin_2020_CVPR,
author = {Yin, Junbo and Shen, Jianbing and Guan, Chenye and Zhou, Dingfu and Yang, Ruigang},
title = {LiDAR-Based Online 3D Video Object Detection With Graph-Based Message Passing and Spatiotemporal Transformer Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Iterative Context-Aware Graph Inference for Visual Dialog-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Dan and Wang, Hui and Zhang, Hanwang and Zha, Zheng-Jun and Wang, Meng},
title = {Iterative Context-Aware Graph Inference for Visual Dialog},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Person Re-Identification via Multi-Label Classification-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Dongkai and Zhang, Shiliang},
title = {Unsupervised Person Re-Identification via Multi-Label Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Jianyuan and Han, Kai and Wang, Yunhe and Zhang, Chao and Yang, Zhaohui and Wu, Han and Chen, Xinghao and Xu, Chang},
title = {Hit-Detector: Hierarchical Trinity Architecture Search for Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Visual-Semantic Matching by Exploring High-Order Attention and Distraction-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yongzhi and Zhang, Duo and Mu, Yadong},
title = {Visual-Semantic Matching by Exploring High-Order Attention and Distraction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Disparity-Aware Domain Adaptation in Stereo Image Restoration-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2020_CVPR,
author = {Yan, Bo and Ma, Chenxi and Bare, Bahetiyaer and Tan, Weimin and Hoi, Steven C. H.},
title = {Disparity-Aware Domain Adaptation in Stereo Image Restoration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting-
[pdf]
[supp]
[bibtex]@InProceedings{Yan_2020_CVPR,
author = {Yan, Bo and Lin, Qing and Tan, Weimin and Zhou, Shili},
title = {Assessing Eye Aesthetics for Automatic Multi-Reference Eye In-Painting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Equalization Loss for Long-Tailed Object Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Tan_2020_CVPR,
author = {Tan, Jingru and Wang, Changbao and Li, Buyu and Li, Quanquan and Ouyang, Wanli and Yin, Changqing and Yan, Junjie},
title = {Equalization Loss for Long-Tailed Object Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sideways: Depth-Parallel Training of Video Models-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Malinowski_2020_CVPR,
author = {Malinowski, Mateusz and Swirszcz, Grzegorz and Carreira, Joao and Patraucean, Viorica},
title = {Sideways: Depth-Parallel Training of Video Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Conditional Relation Networks for Video Question Answering-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Le_2020_CVPR,
author = {Le, Thao Minh and Le, Vuong and Venkatesh, Svetha and Tran, Truyen},
title = {Hierarchical Conditional Relation Networks for Video Question Answering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RankMI: A Mutual Information Maximizing Ranking Loss-
[pdf]
[supp]
[bibtex]@InProceedings{Kemertas_2020_CVPR,
author = {Kemertas, Mete and Pishdad, Leila and Derpanis, Konstantinos G. and Fazly, Afsaneh},
title = {RankMI: A Mutual Information Maximizing Ranking Loss},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HAMBox: Delving Into Mining High-Quality Anchors on Face Detection-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yang and Tang, Xu and Han, Junyu and Liu, Jingtuo and Rui, Dinger and Wu, Xiang},
title = {HAMBox: Delving Into Mining High-Quality Anchors on Face Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
McFlow: Monte Carlo Flow Models for Data Imputation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Richardson_2020_CVPR,
author = {Richardson, Trevor W. and Wu, Wencheng and Lin, Lei and Xu, Beilei and Bernal, Edgar A.},
title = {McFlow: Monte Carlo Flow Models for Data Imputation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Yongjian and Tai, Lei and Sun, Kai and Li, Mingyang},
title = {MonoPair: Monocular 3D Object Detection Using Pairwise Spatial Relationships},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Xingyu and Jonschkowski, Rico and Angelova, Anelia and Konolige, Kurt},
title = {KeyPose: Multi-View 3D Labeling and Keypoint Estimation for Transparent Objects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Putting Visual Object Recognition in Context-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Mengmi and Tseng, Claire and Kreiman, Gabriel},
title = {Putting Visual Object Recognition in Context},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Path Learning for Object Pose Estimation Across Domains-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Sundermeyer_2020_CVPR,
author = {Sundermeyer, Martin and Durner, Maximilian and Puang, En Yen and Marton, Zoltan-Csaba and Vaskevicius, Narunas and Arras, Kai O. and Triebel, Rudolph},
title = {Multi-Path Learning for Object Pose Estimation Across Domains},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Instance Credibility Inference for Few-Shot Learning-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yikai and Xu, Chengming and Liu, Chen and Zhang, Li and Fu, Yanwei},
title = {Instance Credibility Inference for Few-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
From Paris to Berlin: Discovering Fashion Style Influences Around the World-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Al-Halah_2020_CVPR,
author = {Al-Halah, Ziad and Grauman, Kristen},
title = {From Paris to Berlin: Discovering Fashion Style Influences Around the World},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Xiaofeng and Ji, Wenxuan and You, Jane and El Fakhri, Georges and Woo, Jonghye},
title = {Severity-Aware Semantic Segmentation With Reinforced Wasserstein Training},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sketchformer: Transformer-Based Representation for Sketched Structure-
[pdf]
[arXiv]
[bibtex]@InProceedings{Ribeiro_2020_CVPR,
author = {Ribeiro, Leo Sampaio Ferraz and Bui, Tu and Collomosse, John and Ponti, Moacir},
title = {Sketchformer: Transformer-Based Representation for Sketched Structure},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Detail-recovery Image Deraining via Context Aggregation Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Deng_2020_CVPR,
author = {Deng, Sen and Wei, Mingqiang and Wang, Jun and Feng, Yidan and Liang, Luming and Xie, Haoran and Wang, Fu Lee and Wang, Meng},
title = {Detail-recovery Image Deraining via Context Aggregation Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Refinement Network for Oriented and Densely Packed Object Detection-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Pan_2020_CVPR,
author = {Pan, Xingjia and Ren, Yuqiang and Sheng, Kekai and Dong, Weiming and Yuan, Haolei and Guo, Xiaowei and Ma, Chongyang and Xu, Changsheng},
title = {Dynamic Refinement Network for Oriented and Densely Packed Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Pang_2020_CVPR,
author = {Pang, Guansong and Yan, Cheng and Shen, Chunhua and van den Hengel, Anton and Bai, Xiao},
title = {Self-Trained Deep Ordinal Regression for End-to-End Video Anomaly Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification-
[pdf]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Guangcong and Lai, Jian-Huang and Liang, Wenqi and Wang, Guangrun},
title = {Smoothing Adversarial Domain Attack and P-Memory Reconsolidation for Cross-Domain Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields-
[pdf]
[supp]
[arXiv]
[video]
[dataset]
[bibtex]@InProceedings{Ramamonjisoa_2020_CVPR,
author = {Ramamonjisoa, Michael and Du, Yuming and Lepetit, Vincent},
title = {Predicting Sharp and Accurate Occlusion Boundaries in Monocular Depth Estimation Using Displacement Fields},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatiotemporal Fusion in 3D CNNs: A Probabilistic View-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Yizhou and Sun, Xiaoyan and Luo, Chong and Zha, Zheng-Jun and Zeng, Wenjun},
title = {Spatiotemporal Fusion in 3D CNNs: A Probabilistic View},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Manivasagam_2020_CVPR,
author = {Manivasagam, Sivabalan and Wang, Shenlong and Wong, Kelvin and Zeng, Wenyuan and Sazanovich, Mikita and Tan, Shuhan and Yang, Bin and Ma, Wei-Chiu and Urtasun, Raquel},
title = {LiDARsim: Realistic LiDAR Simulation by Leveraging the Real World},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Counting Out Time: Class Agnostic Video Repetition Counting in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Dwibedi_2020_CVPR,
author = {Dwibedi, Debidatta and Aytar, Yusuf and Tompson, Jonathan and Sermanet, Pierre and Zisserman, Andrew},
title = {Counting Out Time: Class Agnostic Video Repetition Counting in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Inducing Hierarchical Compositional Model by Sparsifying Generator Network-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xing_2020_CVPR,
author = {Xing, Xianglei and Wu, Tianfu and Zhu, Song-Chun and Wu, Ying Nian},
title = {Inducing Hierarchical Compositional Model by Sparsifying Generator Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Qilong and Zhang, Li and Wu, Banggu and Ren, Dongwei and Li, Peihua and Zuo, Wangmeng and Hu, Qinghua},
title = {What Deep CNNs Benefit From Global Covariance Pooling: An Optimization Perspective},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Mittal_2020_CVPR,
author = {Mittal, Trisha and Guhan, Pooja and Bhattacharya, Uttaran and Chandra, Rohan and Bera, Aniket and Manocha, Dinesh},
title = {EmotiCon: Context-Aware Multimodal Emotion Recognition Using Frege's Principle},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Universal Weighting Metric Learning for Cross-Modal Matching-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Jiwei and Xu, Xing and Yang, Yang and Ji, Yanli and Wang, Zheng and Shen, Heng Tao},
title = {Universal Weighting Metric Learning for Cross-Modal Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning a Dynamic Map of Visual Appearance-
[pdf]
[supp]
[bibtex]@InProceedings{Salem_2020_CVPR,
author = {Salem, Tawfiq and Workman, Scott and Jacobs, Nathan},
title = {Learning a Dynamic Map of Visual Appearance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning From Synthetic Animals-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Mu_2020_CVPR,
author = {Mu, Jiteng and Qiu, Weichao and Hager, Gregory D. and Yuille, Alan L.},
title = {Learning From Synthetic Animals},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D Part Guided Image Editing for Fine-Grained Object Understanding-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Zongdai and Lu, Feixiang and Wang, Peng and Miao, Hui and Zhang, Liangjun and Yang, Ruigang and Zhou, Bin},
title = {3D Part Guided Image Editing for Fine-Grained Object Understanding},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Unseen Concepts via Hierarchical Decomposition and Composition-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Muli and Deng, Cheng and Yan, Junchi and Liu, Xianglong and Tao, Dacheng},
title = {Learning Unseen Concepts via Hierarchical Decomposition and Composition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Modality Cross Attention Network for Image and Sentence Matching-
[pdf]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Xi and Zhang, Tianzhu and Li, Yan and Zhang, Yongdong and Wu, Feng},
title = {Multi-Modality Cross Attention Network for Image and Sentence Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Jiamin and Zhang, Tianzhu and Zha, Zheng-Jun and Luo, Jiebo and Zhang, Yongdong and Wu, Feng},
title = {Self-Supervised Domain-Aware Generative Network for Generalized Zero-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
EPOS: Estimating 6D Pose of Objects With Symmetries-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hodan_2020_CVPR,
author = {Hodan, Tomas and Barath, Daniel and Matas, Jiri},
title = {EPOS: Estimating 6D Pose of Objects With Symmetries},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Object Relational Graph With Teacher-Recommended Learning for Video Captioning-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Ziqi and Shi, Yaya and Yuan, Chunfeng and Li, Bing and Wang, Peijin and Hu, Weiming and Zha, Zheng-Jun},
title = {Object Relational Graph With Teacher-Recommended Learning for Video Captioning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition-
[pdf]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yuwei and Zhang, Peng and Yuan, Chun and Wang, Zhi},
title = {Texture and Shape Biased Two-Stream Networks for Clothing Classification and Attribute Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Combining Detection and Tracking for Human Pose Estimation in Videos-
[pdf]
[arXiv]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Manchen and Tighe, Joseph and Modolo, Davide},
title = {Combining Detection and Tracking for Human Pose Estimation in Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few Sample Knowledge Distillation for Efficient Network Compression-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Tianhong and Li, Jianguo and Liu, Zhuang and Zhang, Changshui},
title = {Few Sample Knowledge Distillation for Efficient Network Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection-
[pdf]
[supp]
[bibtex]@InProceedings{Beery_2020_CVPR,
author = {Beery, Sara and Wu, Guanhang and Rathod, Vivek and Votel, Ronny and Huang, Jonathan},
title = {Context R-CNN: Long Term Temporal Context for Per-Camera Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians-
[pdf]
[supp]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Jialian and Zhou, Chunluan and Yang, Ming and Zhang, Qian and Li, Yuan and Yuan, Junsong},
title = {Temporal-Context Enhanced Detection of Heavily Occluded Pedestrians},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Xin and Ge, Zheng and Jie, Zequn and Yoshie, Osamu},
title = {NMS by Representative Region: Towards Crowded Pedestrian Detection by Proposal Pairing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PhraseCut: Language-Based Image Segmentation in the Wild-
[pdf]
[supp]
[arXiv]
[dataset]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Chenyun and Lin, Zhe and Cohen, Scott and Bui, Trung and Maji, Subhransu},
title = {PhraseCut: Language-Based Image Segmentation in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning User Representations for Open Vocabulary Image Hashtag Prediction-
[pdf]
[supp]
[bibtex]@InProceedings{Durand_2020_CVPR,
author = {Durand, Thibaut},
title = {Learning User Representations for Open Vocabulary Image Hashtag Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Yuqi and Liu, Shilin and Pan, Hao and Liu, Yang and Tong, Xin},
title = {PFCNN: Convolutional Neural Networks on 3D Surfaces Using Parallel Frames},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Miolane_2020_CVPR,
author = {Miolane, Nina and Holmes, Susan},
title = {Learning Weighted Submanifolds With Variational Autoencoders and Riemannian Variational Autoencoders},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Situational Driving-
[pdf]
[bibtex]@InProceedings{Ohn-Bar_2020_CVPR,
author = {Ohn-Bar, Eshed and Prakash, Aditya and Behl, Aseem and Chitta, Kashyap and Geiger, Andreas},
title = {Learning Situational Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Pose-Guided Visible Part Matching for Occluded Person ReID-
[pdf]
[arXiv]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Shang and Wang, Jingya and Lu, Huchuan and Liu, Zimo},
title = {Pose-Guided Visible Part Matching for Occluded Person ReID},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Online Knowledge Distillation via Collaborative Learning-
[pdf]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Qiushan and Wang, Xinjiang and Wu, Yichao and Yu, Zhipeng and Liang, Ding and Hu, Xiaolin and Luo, Ping},
title = {Online Knowledge Distillation via Collaborative Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Probabilistic Pixel-Adaptive Refinement Networks-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Wannenwetsch_2020_CVPR,
author = {Wannenwetsch, Anne S. and Roth, Stefan},
title = {Probabilistic Pixel-Adaptive Refinement Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
"Looking at the Right Stuff" - Guided Semantic-Gaze for Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Pal_2020_CVPR,
author = {Pal, Anwesan and Mondal, Sayan and Christensen, Henrik I.},
title = {"Looking at the Right Stuff" - Guided Semantic-Gaze for Autonomous Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction-
[pdf]
[video]
[bibtex]@InProceedings{Mohamed_2020_CVPR,
author = {Mohamed, Abduallah and Qian, Kun and Elhoseiny, Mohamed and Claudel, Christian},
title = {Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Efficient Neural Vision Systems Based on Convolutional Image Acquisition-
[pdf]
[bibtex]@InProceedings{Pad_2020_CVPR,
author = {Pad, Pedram and Narduzzi, Simon and Kundig, Clement and Turetken, Engin and Bigdeli, Siavash A. and Dunbar, L. Andrea},
title = {Efficient Neural Vision Systems Based on Convolutional Image Acquisition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads-
[pdf]
[supp]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Xi and Wu, Xiaolin and Zhai, Xinliang and Ben, Xianye and Tu, Chengjie},
title = {DAVD-Net: Deep Audio-Aided Video Decompression of Talking Heads},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Referring Image Segmentation via Cross-Modal Progressive Comprehension-
[pdf]
[arXiv]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Shaofei and Hui, Tianrui and Liu, Si and Li, Guanbin and Wei, Yunchao and Han, Jizhong and Liu, Luoqi and Li, Bo},
title = {Referring Image Segmentation via Cross-Modal Progressive Comprehension},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SAPIEN: A SimulAted Part-Based Interactive ENvironment-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xiang_2020_CVPR,
author = {Xiang, Fanbo and Qin, Yuzhe and Mo, Kaichun and Xia, Yikuan and Zhu, Hao and Liu, Fangchen and Liu, Minghua and Jiang, Hanxiao and Yuan, Yifu and Wang, He and Yi, Li and Chang, Angel X. and Guibas, Leonidas J. and Su, Hao},
title = {SAPIEN: A SimulAted Part-Based Interactive ENvironment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Camaro_2020_CVPR,
author = {Camaro, Charles-Olivier Dufresne and Rezanejad, Morteza and Tsogkas, Stavros and Siddiqi, Kaleem and Dickinson, Sven},
title = {Appearance Shock Grammar for Fast Medial Axis Extraction From Real Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Zhongjie and Chen, Lin and Cheng, Zhongwei and Luo, Jiebo},
title = {TransMatch: A Transfer-Learning Scheme for Semi-Supervised Few-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval-
[pdf]
[video]
[bibtex]@InProceedings{Pang_2020_CVPR,
author = {Pang, Kaiyue and Yang, Yongxin and Hospedales, Timothy M. and Xiang, Tao and Song, Yi-Zhe},
title = {Solving Mixed-Modal Jigsaw Puzzle for Fine-Grained Sketch-Based Image Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection-
[pdf]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Shaoshuai and Guo, Chaoxu and Jiang, Li and Wang, Zhe and Shi, Jianping and Wang, Xiaogang and Li, Hongsheng},
title = {PV-RCNN: Point-Voxel Feature Set Abstraction for 3D Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Liao_2020_CVPR,
author = {Liao, Yue and Liu, Si and Li, Guanbin and Wang, Fei and Chen, Yanjie and Qian, Chen and Li, Bo},
title = {A Real-Time Cross-Modality Correlation Filtering Method for Referring Expression Comprehension},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Modal Cross-Domain Moment Alignment Network for Person Search-
[pdf]
[bibtex]@InProceedings{Jing_2020_CVPR,
author = {Jing, Ya and Wang, Wei and Wang, Liang and Tan, Tieniu},
title = {Cross-Modal Cross-Domain Moment Alignment Network for Person Search},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Smooth Shells: Multi-Scale Shape Registration With Functional Maps-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Eisenberger_2020_CVPR,
author = {Eisenberger, Marvin and Lahner, Zorah and Cremers, Daniel},
title = {Smooth Shells: Multi-Scale Shape Registration With Functional Maps},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PnPNet: End-to-End Perception and Prediction With Tracking in the Loop-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Liang_2020_CVPR,
author = {Liang, Ming and Yang, Bin and Zeng, Wenyuan and Chen, Yun and Hu, Rui and Casas, Sergio and Urtasun, Raquel},
title = {PnPNet: End-to-End Perception and Prediction With Tracking in the Loop},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exemplar Normalization for Learning Deep Representation-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Ruimao and Peng, Zhanglin and Wu, Lingyun and Li, Zhen and Luo, Ping},
title = {Exemplar Normalization for Learning Deep Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Graph-Structured Referring Expression Reasoning in the Wild-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Sibei and Li, Guanbin and Yu, Yizhou},
title = {Graph-Structured Referring Expression Reasoning in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Xiaoshui and Mei, Guofeng and Zhang, Jian},
title = {Feature-Metric Registration: A Fast Semi-Supervised Approach for Robust Point Cloud Registration Without Correspondences},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction-
[pdf]
[arXiv]
[bibtex]@InProceedings{Liang_2020_CVPR,
author = {Liang, Junwei and Jiang, Lu and Murphy, Kevin and Yu, Ting and Hauptmann, Alexander},
title = {The Garden of Forking Paths: Towards Multi-Future Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PolarMask: Single Shot Instance Segmentation With Polar Representation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Xie_2020_CVPR,
author = {Xie, Enze and Sun, Peize and Song, Xiaoge and Wang, Wenhai and Liu, Xuebo and Liang, Ding and Shen, Chunhua and Luo, Ping},
title = {PolarMask: Single Shot Instance Segmentation With Polar Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Hao_2020_CVPR,
author = {Hao, Weituo and Li, Chunyuan and Li, Xiujun and Carin, Lawrence and Gao, Jianfeng},
title = {Towards Learning a Generic Agent for Vision-and-Language Navigation via Pre-Training},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Boosting Few-Shot Learning With Adaptive Margin Loss-
[pdf]
[arXiv]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Aoxue and Huang, Weiran and Lan, Xu and Feng, Jiashi and Li, Zhenguo and Wang, Liwei},
title = {Boosting Few-Shot Learning With Adaptive Margin Loss},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction-
[pdf]
[video]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Kaiyue and Barnes, Nick and Anwar, Saeed and Zheng, Liang},
title = {From Depth What Can You See? Depth Completion via Auxiliary Image Reconstruction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation-
[pdf]
[supp]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Zhuo and Wang, Chaoyue and Yuan, Bo and Tao, Dacheng},
title = {PuppeteerGAN: Arbitrary Portrait Animation With Semantic-Aware Appearance Transformation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Active Speakers in Context-
[pdf]
[arXiv]
[bibtex]@InProceedings{Alcazar_2020_CVPR,
author = {Alcazar, Juan Leon and Caba, Fabian and Mai, Long and Perazzi, Federico and Lee, Joon-Young and Arbelaez, Pablo and Ghanem, Bernard},
title = {Active Speakers in Context},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3DSSD: Point-Based 3D Single Stage Object Detector-
[pdf]
[arXiv]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Zetong and Sun, Yanan and Liu, Shu and Jia, Jiaya},
title = {3DSSD: Point-Based 3D Single Stage Object Detector},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Learn Cropping Models for Different Aspect Ratio Requirements-
[pdf]
[supp]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Debang and Zhang, Junge and Huang, Kaiqi},
title = {Learning to Learn Cropping Models for Different Aspect Ratio Requirements},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
nuScenes: A Multimodal Dataset for Autonomous Driving-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Caesar_2020_CVPR,
author = {Caesar, Holger and Bankiti, Varun and Lang, Alex H. and Vora, Sourabh and Liong, Venice Erin and Xu, Qiang and Krishnan, Anush and Pan, Yu and Baldan, Giancarlo and Beijbom, Oscar},
title = {nuScenes: A Multimodal Dataset for Autonomous Driving},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Visual Emotion Representations From Web Data-
[pdf]
[bibtex]@InProceedings{Wei_2020_CVPR,
author = {Wei, Zijun and Zhang, Jianming and Lin, Zhe and Lee, Joon-Young and Balasubramanian, Niranjan and Hoai, Minh and Samaras, Dimitris},
title = {Learning Visual Emotion Representations From Web Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Shizhe and Zhao, Yida and Jin, Qin and Wu, Qi},
title = {Fine-Grained Video-Text Retrieval With Hierarchical Graph Reasoning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Generative-Discriminative Feature Representations for Open-Set Recognition-
[pdf]
[supp]
[bibtex]@InProceedings{Perera_2020_CVPR,
author = {Perera, Pramuditha and Morariu, Vlad I. and Jain, Rajiv and Manjunatha, Varun and Wigington, Curtis and Ordonez, Vicente and Patel, Vishal M.},
title = {Generative-Discriminative Feature Representations for Open-Set Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds-
[pdf]
[supp]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Qingyong and Yang, Bo and Xie, Linhai and Rosa, Stefano and Guo, Yulan and Wang, Zhihua and Trigoni, Niki and Markham, Andrew},
title = {RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Structure an Image With Few Colors-
[pdf]
[arXiv]
[bibtex]@InProceedings{Hou_2020_CVPR,
author = {Hou, Yunzhong and Zheng, Liang and Gould, Stephen},
title = {Learning to Structure an Image With Few Colors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Discriminative Multi-Modality Speech Recognition-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Bo and Lu, Cheng and Guo, Yandong and Wang, Jacob},
title = {Discriminative Multi-Modality Speech Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Improving Convolutional Networks With Self-Calibrated Convolutions-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Jiang-Jiang and Hou, Qibin and Cheng, Ming-Ming and Wang, Changhu and Feng, Jiashi},
title = {Improving Convolutional Networks With Self-Calibrated Convolutions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CenterMask: Real-Time Anchor-Free Instance Segmentation-
[pdf]
[arXiv]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Youngwan and Park, Jongyoul},
title = {CenterMask: Real-Time Anchor-Free Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences-
[pdf]
[supp]
[arXiv]
[video]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zhu and Zhao, Zhou and Zhao, Yang and Wang, Qi and Liu, Huasheng and Gao, Lianli},
title = {Where Does It Exist: Spatio-Temporal Video Grounding for Multi-Form Sentences},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors-
[pdf]
[supp]
[arXiv]
[bibtex]@InProceedings{Zakharov_2020_CVPR,
author = {Zakharov, Sergey and Kehl, Wadim and Bhargava, Arjun and Gaidon, Adrien},
title = {Autolabeling 3D Objects With Differentiable Rendering of SDF Shape Priors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment-
[pdf]
[arXiv]
[video]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Qiuyu and Zhang, Wei and Zhou, Ning and Lei, Peng and Xu, Yi and Zheng, Yu and Fan, Jianping},
title = {Adaptive Fractional Dilated Convolution Network for Image Aesthetics Assessment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}