Hyperbolic Image Embeddings-
[pdf]
[bibtex]@InProceedings{Khrulkov_2020_CVPR,
author = {Khrulkov, Valentin and Mirvakhabova, Leyla and Ustinova, Evgeniya and Oseledets, Ivan and Lempitsky, Victor},
title = {Hyperbolic Image Embeddings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Controllable Orthogonalization in Training DNNs-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Lei and Liu, Li and Zhu, Fan and Wan, Diwen and Yuan, Zehuan and Li, Bo and Shao, Ling},
title = {Controllable Orthogonalization in Training DNNs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An Investigation Into the Stochasticity of Batch Whitening-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Lei and Zhao, Lei and Zhou, Yi and Zhu, Fan and Liu, Li and Shao, Ling},
title = {An Investigation Into the Stochasticity of Batch Whitening},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Guan'an and Yang, Shuo and Liu, Huanyu and Wang, Zhicheng and Yang, Yang and Wang, Shuliang and Yu, Gang and Zhou, Erjin and Sun, Jian},
title = {High-Order Information Matters: Learning Relation and Topology for Occluded Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance-
[pdf]
[bibtex]@InProceedings{Spencer_2020_CVPR,
author = {Spencer, Jaime and Bowden, Richard and Hadfield, Simon},
title = {Same Features, Different Day: Weakly Supervised Feature Learning for Seasonal Invariance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Dress 3D People in Generative Clothing-
[pdf]
[bibtex]@InProceedings{Ma_2020_CVPR,
author = {Ma, Qianli and Yang, Jinlong and Ranjan, Anurag and Pujades, Sergi and Pons-Moll, Gerard and Tang, Siyu and Black, Michael J.},
title = {Learning to Dress 3D People in Generative Clothing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MAST: A Memory-Augmented Self-Supervised Tracker-
[pdf]
[bibtex]@InProceedings{Lai_2020_CVPR,
author = {Lai, Zihang and Lu, Erika and Xie, Weidi},
title = {MAST: A Memory-Augmented Self-Supervised Tracker},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Liang and Zhang, Jiangning and He, Ruifei and Liu, Yong and Wang, Yabiao and Tai, Ying and Luo, Donghao and Wang, Chengjie and Li, Jilin and Huang, Feiyue},
title = {Learning by Analogy: Reliable Supervision From Transformations for Unsupervised Optical Flow Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning-
[pdf]
[bibtex]@InProceedings{Weng_2020_CVPR,
author = {Weng, Xinshuo and Wang, Yongxin and Man, Yunze and Kitani, Kris M.},
title = {GNN3DMOT: Graph Neural Network for 3D Multi-Object Tracking With 2D-3D Multi-Feature Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ClusterFit: Improving Generalization of Visual Representations-
[pdf]
[bibtex]@InProceedings{Yan_2020_CVPR,
author = {Yan, Xueting and Misra, Ishan and Gupta, Abhinav and Ghadiyaram, Deepti and Mahajan, Dhruv},
title = {ClusterFit: Improving Generalization of Visual Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Dynamic Relationships for 3D Human Motion Prediction-
[pdf]
[bibtex]@InProceedings{Cui_2020_CVPR,
author = {Cui, Qiongjie and Sun, Huaijiang and Yang, Fei},
title = {Learning Dynamic Relationships for 3D Human Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge-
[pdf]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Long and Peng, Xi and Chen, Yuxiao and Kapadia, Mubbasir and Metaxas, Dimitris N.},
title = {Knowledge As Priors: Cross-Modal Knowledge Generalization for Datasets Without Superior Knowledge},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation-
[pdf]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Yizhe and Min, Martin Renqiang and Kadav, Asim and Graf, Hans Peter},
title = {S3VAE: Self-Supervised Sequential VAE for Representation Disentanglement and Data Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning-
[pdf]
[bibtex]@InProceedings{Yao_2020_CVPR,
author = {Yao, Yuan and Liu, Chang and Luo, Dezhao and Zhou, Yu and Ye, Qixiang},
title = {Video Playback Rate Perception for Self-Supervised Spatio-Temporal Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Manipulate Individual Objects in an Image-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Yanchao and Chen, Yutong and Soatto, Stefano},
title = {Learning to Manipulate Individual Objects in an Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PADS: Policy-Adapted Sampling for Visual Similarity Learning-
[pdf]
[bibtex]@InProceedings{Roth_2020_CVPR,
author = {Roth, Karsten and Milbich, Timo and Ommer, Bjorn},
title = {PADS: Policy-Adapted Sampling for Visual Similarity Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Siam R-CNN: Visual Tracking by Re-Detection-
[pdf]
[bibtex]@InProceedings{Voigtlaender_2020_CVPR,
author = {Voigtlaender, Paul and Luiten, Jonathon and Torr, Philip H.S. and Leibe, Bastian},
title = {Siam R-CNN: Visual Tracking by Re-Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ASLFeat: Learning Local Features of Accurate Shape and Localization-
[pdf]
[bibtex]@InProceedings{Luo_2020_CVPR,
author = {Luo, Zixin and Zhou, Lei and Bai, Xuyang and Chen, Hongkai and Zhang, Jiahui and Yao, Yao and Li, Shiwei and Fang, Tian and Quan, Long},
title = {ASLFeat: Learning Local Features of Accurate Shape and Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Filter Grafting for Deep Neural Networks-
[pdf]
[bibtex]@InProceedings{Meng_2020_CVPR,
author = {Meng, Fanxu and Cheng, Hao and Li, Ke and Xu, Zhixin and Ji, Rongrong and Sun, Xing and Lu, Guangming},
title = {Filter Grafting for Deep Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation-
[pdf]
[bibtex]@InProceedings{Doosti_2020_CVPR,
author = {Doosti, Bardia and Naha, Shujon and Mirbagheri, Majid and Crandall, David J.},
title = {HOPE-Net: A Graph-Based Model for Hand-Object Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation-
[pdf]
[bibtex]@InProceedings{Koujan_2020_CVPR,
author = {Koujan, Mohammad Rami and Roussos, Anastasios and Zafeiriou, Stefanos},
title = {DeepFaceFlow: In-the-Wild Dense 3D Facial Motion Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Ren and Mentzer, Fabian and Gool, Luc Van and Timofte, Radu},
title = {Learning for Video Compression With Hierarchical Quality and Recurrent Enhancement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Better Lossless Compression Using Lossy Compression-
[pdf]
[bibtex]@InProceedings{Mentzer_2020_CVPR,
author = {Mentzer, Fabian and Gool, Luc Van and Tschannen, Michael},
title = {Learning Better Lossless Compression Using Lossy Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Pengpeng and King, Irwin and Lyu, Michael R. and Xu, Jia},
title = {Flow2Stereo: Effective Self-Supervised Learning of Optical Flow and Stereo Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Scale Fusion Subspace Clustering Using Similarity Constraint-
[pdf]
[bibtex]@InProceedings{Dang_2020_CVPR,
author = {Dang, Zhiyuan and Deng, Cheng and Yang, Xu and Huang, Heng},
title = {Multi-Scale Fusion Subspace Clustering Using Similarity Constraint},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Siamese Box Adaptive Network for Visual Tracking-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Zedu and Zhong, Bineng and Li, Guorong and Zhang, Shengping and Ji, Rongrong},
title = {Siamese Box Adaptive Network for Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Guoqing and Han, Hu and Shan, Shiguang and Chen, Xilin},
title = {Cross-Domain Face Presentation Attack Detection via Multi-Domain Disentangled Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Online Deep Clustering for Unsupervised Representation Learning-
[pdf]
[bibtex]@InProceedings{Zhan_2020_CVPR,
author = {Zhan, Xiaohang and Xie, Jiahao and Liu, Ziwei and Ong, Yew-Soon and Loy, Chen Change},
title = {Online Deep Clustering for Unsupervised Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Density-Aware Feature Embedding for Face Clustering-
[pdf]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Senhui and Xu, Jing and Chen, Dapeng and Zhang, Chao and Wang, Xiaogang and Zhao, Rui},
title = {Density-Aware Feature Embedding for Face Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Learning of Pretext-Invariant Representations-
[pdf]
[bibtex]@InProceedings{Misra_2020_CVPR,
author = {Misra, Ishan and Maaten, Laurens van der},
title = {Self-Supervised Learning of Pretext-Invariant Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ROAM: Recurrently Optimizing Tracking Model-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Tianyu and Xu, Pengfei and Hu, Runbo and Chai, Hua and Chan, Antoni B.},
title = {ROAM: Recurrently Optimizing Tracking Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deformable Siamese Attention Networks for Visual Object Tracking-
[pdf]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Yuechen and Xiong, Yilei and Huang, Weilin and Scott, Matthew R.},
title = {Deformable Siamese Attention Networks for Visual Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
15 Keypoints Is All You Need-
[pdf]
[bibtex]@InProceedings{Snower_2020_CVPR,
author = {Snower, Michael and Kadav, Asim and Lai, Farley and Graf, Hans Peter},
title = {15 Keypoints Is All You Need},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optical Flow in the Dark-
[pdf]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Yinqiang and Zhang, Mingfang and Lu, Feng},
title = {Optical Flow in the Dark},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt-
[pdf]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Hangyu and Fu, Yanwei and Xue, Xiangyang and Jiang, Yu-Gang},
title = {Sketch-BERT: Learning Sketch Bidirectional Encoder Representation From Transformers by Self-Supervised Learning of Sketch Gestalt},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Unified Object Motion and Affinity Model for Online Multi-Object Tracking-
[pdf]
[bibtex]@InProceedings{Yin_2020_CVPR,
author = {Yin, Junbo and Wang, Wenguan and Meng, Qinghao and Yang, Ruigang and Shen, Jianbing},
title = {A Unified Object Motion and Affinity Model for Online Multi-Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects-
[pdf]
[bibtex]@InProceedings{Rozumnyi_2020_CVPR,
author = {Rozumnyi, Denys and Kotera, Jan and Sroubek, Filip and Matas, Jiri},
title = {Sub-Frame Appearance and 6D Pose Estimation of Fast Moving Objects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
How to Train Your Deep Multi-Object Tracker-
[pdf]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Yihong and Osep, Aljosa and Ban, Yutong and Horaud, Radu and Leal-Taixe, Laura and Alameda-Pineda, Xavier},
title = {How to Train Your Deep Multi-Object Tracker},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TPNet: Trajectory Proposal Network for Motion Prediction-
[pdf]
[bibtex]@InProceedings{Fang_2020_CVPR,
author = {Fang, Liangji and Jiang, Qinhong and Shi, Jianping and Zhou, Bolei},
title = {TPNet: Trajectory Proposal Network for Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Large Scale Video Representation Learning via Relational Graph Clustering-
[pdf]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Hyodong and Lee, Joonseok and Ng, Joe Yue-Hei and Natsev, Paul},
title = {Large Scale Video Representation Learning via Relational Graph Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Universal Representation Learning for Deep Face Recognition-
[pdf]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Yichun and Yu, Xiang and Sohn, Kihyuk and Chandraker, Manmohan and Jain, Anil K.},
title = {Towards Universal Representation Learning for Deep Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Partial Matching for Person Search in the Wild-
[pdf]
[bibtex]@InProceedings{Zhong_2020_CVPR,
author = {Zhong, Yingji and Wang, Xiaoyu and Zhang, Shiliang},
title = {Robust Partial Matching for Person Search in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Correlation-Guided Attention for Corner Detection Based Visual Tracking-
[pdf]
[bibtex]@InProceedings{Du_2020_CVPR,
author = {Du, Fei and Liu, Peng and Zhao, Wei and Tang, Xianglong},
title = {Correlation-Guided Attention for Corner Detection Based Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Multi-Object Tracking and Segmentation From Automatic Annotations-
[pdf]
[bibtex]@InProceedings{Porzi_2020_CVPR,
author = {Porzi, Lorenzo and Hofinger, Markus and Ruiz, Idoia and Serrat, Joan and Bulo, Samuel Rota and Kontschieder, Peter},
title = {Learning Multi-Object Tracking and Segmentation From Automatic Annotations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation-
[pdf]
[bibtex]@InProceedings{Benzine_2020_CVPR,
author = {Benzine, Abdallah and Chabot, Florian and Luvison, Bertrand and Pham, Quoc Cuong and Achard, Catherine},
title = {PandaNet: Anchor-Based Single-Shot Multi-Person 3D Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition-
[pdf]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Yudong and Wu, Yichao and Gong, Ruihao and Lv, Yuanhao and Chen, Ken and Liang, Ding and Hu, Xiaolin and Liu, Xianglong and Yan, Junjie},
title = {Rotation Consistent Margin Loss for Efficient Low-Bit Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Peiliang and Shi, Jieqi and Shen, Shaojie},
title = {Joint Spatial-Temporal Optimization for Stereo 3D Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unity Style Transfer for Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Chong and Chang, Xiaojun and Shen, Yi-Dong},
title = {Unity Style Transfer for Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Suppressing Uncertainties for Large-Scale Facial Expression Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Kai and Peng, Xiaojiang and Yang, Jianfei and Lu, Shijian and Qiao, Yu},
title = {Suppressing Uncertainties for Large-Scale Facial Expression Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Mitra_2020_CVPR,
author = {Mitra, Rahul and Gundavarapu, Nitesh B. and Sharma, Abhishek and Jain, Arjun},
title = {Multiview-Consistent Semi-Supervised Learning for 3D Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Regularizing Neural Networks via Minimizing Hyperspherical Energy-
[pdf]
[bibtex]@InProceedings{Lin_2020_CVPR,
author = {Lin, Rongmei and Liu, Weiyang and Liu, Zhen and Feng, Chen and Yu, Zhiding and Rehg, James M. and Xiong, Li and Song, Le},
title = {Regularizing Neural Networks via Minimizing Hyperspherical Energy},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Representations by Predicting Bags of Visual Words-
[pdf]
[bibtex]@InProceedings{Gidaris_2020_CVPR,
author = {Gidaris, Spyros and Bursuc, Andrei and Komodakis, Nikos and Perez, Patrick and Cord, Matthieu},
title = {Learning Representations by Predicting Bags of Visual Words},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces-
[pdf]
[bibtex]@InProceedings{Khan_2020_CVPR,
author = {Khan, Muhammad Haris and McDonagh, John and Khan, Salman and Shahabuddin, Muhammad and Arora, Aditya and Khan, Fahad Shahbaz and Shao, Ling and Tzimiropoulos, Georgios},
title = {AnimalWeb: A Large-Scale Hierarchical Dataset of Annotated Animal Faces},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Transductive Approach for Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yizhuo and Wu, Zhirong and Peng, Houwen and Lin, Stephen},
title = {A Transductive Approach for Video Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Face Video Segmentation via Reinforcement Learning-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yujiang and Dong, Mingzhi and Shen, Jie and Wu, Yang and Cheng, Shiyang and Pantic, Maja},
title = {Dynamic Face Video Segmentation via Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion-
[pdf]
[bibtex]@InProceedings{Chibane_2020_CVPR,
author = {Chibane, Julian and Alldieck, Thiemo and Pons-Moll, Gerard},
title = {Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantic Drift Compensation for Class-Incremental Learning-
[pdf]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Lu and Twardowski, Bartlomiej and Liu, Xialei and Herranz, Luis and Wang, Kai and Cheng, Yongmei and Jui, Shangling and Weijer, Joost van de},
title = {Semantic Drift Compensation for Class-Incremental Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Context-Aware Human Motion Prediction-
[pdf]
[bibtex]@InProceedings{Corona_2020_CVPR,
author = {Corona, Enric and Pumarola, Albert and Alenya, Guillem and Moreno-Noguer, Francesc},
title = {Context-Aware Human Motion Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data-
[pdf]
[bibtex]@InProceedings{Bozic_2020_CVPR,
author = {Bozic, Aljaz and Zollhofer, Michael and Theobalt, Christian and Niessner, Matthias},
title = {DeepDeform: Learning Non-Rigid RGB-D Reconstruction With Semi-Supervised Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Isogawa_2020_CVPR,
author = {Isogawa, Mariko and Yuan, Ye and O'Toole, Matthew and Kitani, Kris M.},
title = {Optical Non-Line-of-Sight Physics-Based 3D Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Transfer Texture From Clothing Images to 3D Humans-
[pdf]
[bibtex]@InProceedings{Mir_2020_CVPR,
author = {Mir, Aymen and Alldieck, Thiemo and Pons-Moll, Gerard},
title = {Learning to Transfer Texture From Clothing Images to 3D Humans},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
UniPose: Unified Human Pose Estimation in Single Images and Videos-
[pdf]
[bibtex]@InProceedings{Artacho_2020_CVPR,
author = {Artacho, Bruno and Savakis, Andreas},
title = {UniPose: Unified Human Pose Estimation in Single Images and Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length-
[pdf]
[bibtex]@InProceedings{Ding_2020_CVPR,
author = {Ding, Yaqing and Yang, Jian and Ponce, Jean and Kong, Hui},
title = {Minimal Solutions to Relative Pose Estimation From Two Views Sharing a Common Direction With Unknown Focal Length},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D Human Mesh Regression With Dense Correspondence-
[pdf]
[bibtex]@InProceedings{Zeng_2020_CVPR,
author = {Zeng, Wang and Ouyang, Wanli and Luo, Ping and Liu, Wentao and Wang, Xiaogang},
title = {3D Human Mesh Regression With Dense Correspondence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Modal Pattern-Propagation for RGB-T Tracking-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Chaoqun and Xu, Chunyan and Cui, Zhen and Zhou, Ling and Zhang, Tong and Zhang, Xiaoya and Yang, Jian},
title = {Cross-Modal Pattern-Propagation for RGB-T Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distilling Knowledge From Graph Convolutional Networks-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Yiding and Qiu, Jiayan and Song, Mingli and Tao, Dacheng and Wang, Xinchao},
title = {Distilling Knowledge From Graph Convolutional Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Po-Hsiang and Yang, Fu-En and Wang, Yu-Chiang Frank},
title = {Learning Identity-Invariant Motion Representations for Cross-ID Face Reenactment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distribution-Aware Coordinate Representation for Human Pose Estimation-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Feng and Zhu, Xiatian and Dai, Hanbin and Ye, Mao and Zhu, Ce},
title = {Distribution-Aware Coordinate Representation for Human Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification-
[pdf]
[bibtex]@InProceedings{Meng_2020_CVPR,
author = {Meng, Dechao and Li, Liang and Liu, Xuejing and Li, Yadong and Yang, Shijie and Zha, Zheng-Jun and Gao, Xingyu and Wang, Shuhui and Huang, Qingming},
title = {Parsing-Based View-Aware Embedding Network for Vehicle Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map-
[pdf]
[bibtex]@InProceedings{Malik_2020_CVPR,
author = {Malik, Jameel and Abdelaziz, Ibrahim and Elhayek, Ahmed and Shimada, Soshi and Ali, Sk Aziz and Golyanik, Vladislav and Theobalt, Christian and Stricker, Didier},
title = {HandVoxNet: Deep Voxel-Based Network for 3D Hand Shape and Pose Estimation From a Single Depth Map},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Determinant Regularization for Gradient-Efficient Graph Matching-
[pdf]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Tianshu and Yan, Junchi and Li, Baoxin},
title = {Determinant Regularization for Gradient-Efficient Graph Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
D3S - A Discriminative Single Shot Segmentation Tracker-
[pdf]
[bibtex]@InProceedings{Lukezic_2020_CVPR,
author = {Lukezic, Alan and Matas, Jiri and Kristan, Matej},
title = {D3S - A Discriminative Single Shot Segmentation Tracker},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction-
[pdf]
[bibtex]@InProceedings{Marchetti_2020_CVPR,
author = {Marchetti, Francesco and Becattini, Federico and Seidenari, Lorenzo and Bimbo, Alberto Del},
title = {MANTRA: Memory Augmented Networks for Multiple Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances-
[pdf]
[bibtex]@InProceedings{Toromanoff_2020_CVPR,
author = {Toromanoff, Marin and Wirbel, Emilie and Moutarde, Fabien},
title = {End-to-End Model-Free Reinforcement Learning for Urban Driving Using Implicit Affordances},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations-
[pdf]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Xiang and Hu, Wei and Qi, Guo-Jun},
title = {GraphTER: Unsupervised Learning of Graph Transformation Equivariant Representations via Auto-Encoding Node-Wise Transformations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Can Facial Pose and Expression Be Separated With Weak Perspective Camera?-
[pdf]
[bibtex]@InProceedings{Sariyanidi_2020_CVPR,
author = {Sariyanidi, Evangelos and Zampella, Casey J. and Schultz, Robert T. and Tunc, Birkan},
title = {Can Facial Pose and Expression Be Separated With Weak Perspective Camera?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Probabilistic Regression for Visual Tracking-
[pdf]
[bibtex]@InProceedings{Danelljan_2020_CVPR,
author = {Danelljan, Martin and Gool, Luc Van and Timofte, Radu},
title = {Probabilistic Regression for Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3DRegNet: A Deep Neural Network for 3D Point Registration-
[pdf]
[bibtex]@InProceedings{Pais_2020_CVPR,
author = {Pais, G. Dias and Ramalingam, Srikumar and Govindu, Venu Madhav and Nascimento, Jacinto C. and Chellappa, Rama and Miraldo, Pedro},
title = {3DRegNet: A Deep Neural Network for 3D Point Registration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation-
[pdf]
[bibtex]@InProceedings{Fabbri_2020_CVPR,
author = {Fabbri, Matteo and Lanzi, Fabio and Calderara, Simone and Alletto, Stefano and Cucchiara, Rita},
title = {Compressed Volumetric Heatmaps for Multi-Person 3D Pose Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Three-Dimensional Reconstruction of Human Interactions-
[pdf]
[bibtex]@InProceedings{Fieraru_2020_CVPR,
author = {Fieraru, Mihai and Zanfir, Mihai and Oneata, Elisabeta and Popa, Alin-Ionut and Olaru, Vlad and Sminchisescu, Cristian},
title = {Three-Dimensional Reconstruction of Human Interactions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning-
[pdf]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Shuai and Zhu, Zhenfeng and Zhang, Xingxing and Liu, Zhizhe and Cheng, Jian and Zhao, Yao},
title = {Distribution-Induced Bidirectional Generative Adversarial Network for Graph Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines-
[pdf]
[bibtex]@InProceedings{Mateus_2020_CVPR,
author = {Mateus, Andre and Ramalingam, Srikumar and Miraldo, Pedro},
title = {Minimal Solvers for 3D Scan Alignment With Pairs of Intersecting Lines},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Wavelet Integrated CNNs for Noise-Robust Image Classification-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Qiufu and Shen, Linlin and Guo, Sheng and Lai, Zhihui},
title = {Wavelet Integrated CNNs for Noise-Robust Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning-
[pdf]
[bibtex]@InProceedings{Ko_2020_CVPR,
author = {Ko, Byungsoo and Gu, Geonmo},
title = {Embedding Expansion: Augmentation in Embedding Space for Deep Metric Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PropagationNet: Propagate Points to Curve to Learn Structure Information-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Xiehe and Deng, Weihong and Shen, Haifeng and Zhang, Xiubao and Ye, Jieping},
title = {PropagationNet: Propagate Points to Curve to Learn Structure Information},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sequential 3D Human Pose and Shape Estimation From Point Clouds-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Kangkan and Xie, Jin and Zhang, Guofeng and Liu, Lei and Yang, Jian},
title = {Sequential 3D Human Pose and Shape Estimation From Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Improving the Robustness of Capsule Networks to Image Affine Transformations-
[pdf]
[bibtex]@InProceedings{Gu_2020_CVPR,
author = {Gu, Jindong and Tresp, Volker},
title = {Improving the Robustness of Capsule Networks to Image Affine Transformations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing-
[pdf]
[bibtex]@InProceedings{Stehouwer_2020_CVPR,
author = {Stehouwer, Joel and Jourabloo, Amin and Liu, Yaojie and Liu, Xiaoming},
title = {Noise Modeling, Synthesis and Classification for Generic Object Anti-Spoofing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Quaternion Product Units for Deep Learning on 3D Rotation Groups-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Xuan and Qin, Shaofei and Xu, Yi and Xu, Hongteng},
title = {Quaternion Product Units for Deep Learning on 3D Rotation Groups},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Representation Learning for Gaze Estimation-
[pdf]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Yu and Odobez, Jean-Marc},
title = {Unsupervised Representation Learning for Gaze Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
P-nets: Deep Polynomial Neural Networks-
[pdf]
[bibtex]@InProceedings{Chrysos_2020_CVPR,
author = {Chrysos, Grigorios G. and Moschoglou, Stylianos and Bouritsas, Giorgos and Panagakis, Yannis and Deng, Jiankang and Zafeiriou, Stefanos},
title = {P-nets: Deep Polynomial Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchically Robust Representation Learning-
[pdf]
[bibtex]@InProceedings{Qian_2020_CVPR,
author = {Qian, Qi and Hu, Juhua and Li, Hao},
title = {Hierarchically Robust Representation Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
How Useful Is Self-Supervised Pretraining for Visual Tasks?-
[pdf]
[bibtex]@InProceedings{Newell_2020_CVPR,
author = {Newell, Alejandro and Deng, Jia},
title = {How Useful Is Self-Supervised Pretraining for Visual Tasks?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Copy and Paste GAN: Face Hallucination From Shaded Thumbnails-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yang and Tsang, Ivor W. and Luo, Yawei and Hu, Chang-Hui and Lu, Xiaobo and Yu, Xin},
title = {Copy and Paste GAN: Face Hallucination From Shaded Thumbnails},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style-
[pdf]
[bibtex]@InProceedings{Patel_2020_CVPR,
author = {Patel, Chaitanya and Liao, Zhouyingcheng and Pons-Moll, Gerard},
title = {TailorNet: Predicting Clothing in 3D as a Function of Human Pose, Shape and Garment Style},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Object-Occluded Human Shape and Pose Estimation From a Single Color Image-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Tianshu and Huang, Buzhen and Wang, Yangang},
title = {Object-Occluded Human Shape and Pose Estimation From a Single Color Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking-
[pdf]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Jin and Hu, Weiming and Lu, Yan},
title = {Recursive Least-Squares Estimator-Aided Online Learning for Visual Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Monocular Scene Flow Estimation-
[pdf]
[bibtex]@InProceedings{Hur_2020_CVPR,
author = {Hur, Junhwa and Roth, Stefan},
title = {Self-Supervised Monocular Scene Flow Estimation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Fast and Robust Target Models for Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Robinson_2020_CVPR,
author = {Robinson, Andreas and Lawin, Felix Jaremo and Danelljan, Martin and Khan, Fahad Shahbaz and Felsberg, Michael},
title = {Learning Fast and Robust Target Models for Video Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reciprocal Learning Networks for Human Trajectory Prediction-
[pdf]
[bibtex]@InProceedings{Sun_2020_CVPR,
author = {Sun, Hao and Zhao, Zhiqun and He, Zhihai},
title = {Reciprocal Learning Networks for Human Trajectory Prediction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Nonparametric Object and Parts Modeling With Lie Group Dynamics-
[pdf]
[bibtex]@InProceedings{Hayden_2020_CVPR,
author = {Hayden, David S. and Pacheco, Jason and , III, John W. Fisher},
title = {Nonparametric Object and Parts Modeling With Lie Group Dynamics},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Shadow Hand-Drawn Sketches-
[pdf]
[bibtex]@InProceedings{Zheng_2020_CVPR,
author = {Zheng, Qingyuan and Li, Zhuoru and Bargteil, Adam},
title = {Learning to Shadow Hand-Drawn Sketches},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Intuitive, Interactive Beard and Hair Synthesis With Generative Models-
[pdf]
[bibtex]@InProceedings{Olszewski_2020_CVPR,
author = {Olszewski, Kyle and Ceylan, Duygu and Xing, Jun and Echevarria, Jose and Chen, Zhili and Chen, Weikai and Li, Hao},
title = {Intuitive, Interactive Beard and Hair Synthesis With Generative Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Semantic Pyramid for Image Generation-
[pdf]
[bibtex]@InProceedings{Shocher_2020_CVPR,
author = {Shocher, Assaf and Gandelsman, Yossi and Mosseri, Inbar and Yarom, Michal and Irani, Michal and Freeman, William T. and Dekel, Tali},
title = {Semantic Pyramid for Image Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SynSin: End-to-End View Synthesis From a Single Image-
[pdf]
[bibtex]@InProceedings{Wiles_2020_CVPR,
author = {Wiles, Olivia and Gkioxari, Georgia and Szeliski, Richard and Johnson, Justin},
title = {SynSin: End-to-End View Synthesis From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Characteristic Function Approach to Deep Implicit Generative Modeling-
[pdf]
[bibtex]@InProceedings{Ansari_2020_CVPR,
author = {Ansari, Abdul Fatir and Scarlett, Jonathan and Soh, Harold},
title = {A Characteristic Function Approach to Deep Implicit Generative Modeling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Resolution Daytime Translation Without Domain Labels-
[pdf]
[bibtex]@InProceedings{Anokhin_2020_CVPR,
author = {Anokhin, Ivan and Solovev, Pavel and Korzhenkov, Denis and Kharlamov, Alexey and Khakhulin, Taras and Silvestrov, Aleksei and Nikolenko, Sergey and Lempitsky, Victor and Sterkin, Gleb},
title = {High-Resolution Daytime Translation Without Domain Labels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Leveraging 2D Data to Learn Textured 3D Mesh Generation-
[pdf]
[bibtex]@InProceedings{Henderson_2020_CVPR,
author = {Henderson, Paul and Tsiminaki, Vagia and Lampert, Christoph H.},
title = {Leveraging 2D Data to Learn Textured 3D Mesh Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting-
[pdf]
[bibtex]@InProceedings{Yi_2020_CVPR,
author = {Yi, Zili and Tang, Qiang and Azizi, Shekoofeh and Jang, Daesik and Xu, Zhan},
title = {Contextual Residual Aggregation for Ultra High-Resolution Image Inpainting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Flow Contrastive Estimation of Energy-Based Models-
[pdf]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Ruiqi and Nijkamp, Erik and Kingma, Diederik P. and Xu, Zhen and Dai, Andrew M. and Wu, Ying Nian},
title = {Flow Contrastive Estimation of Energy-Based Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines-
[pdf]
[bibtex]@InProceedings{Mosleh_2020_CVPR,
author = {Mosleh, Ali and Sharma, Avinash and Onzon, Emmanuel and Mannan, Fahim and Robidoux, Nicolas and Heide, Felix},
title = {Hardware-in-the-Loop End-to-End Optimization of Camera Image Processing Pipelines},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Search to Distill: Pearls Are Everywhere but Not the Eyes-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Yu and Jia, Xuhui and Tan, Mingxing and Vemulapalli, Raviteja and Zhu, Yukun and Green, Bradley and Wang, Xiaogang},
title = {Search to Distill: Pearls Are Everywhere but Not the Eyes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Total Deep Variation for Linear Inverse Problems-
[pdf]
[bibtex]@InProceedings{Kobler_2020_CVPR,
author = {Kobler, Erich and Effland, Alexander and Kunisch, Karl and Pock, Thomas},
title = {Total Deep Variation for Linear Inverse Problems},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Relative Interior Rule in Block-Coordinate Descent-
[pdf]
[bibtex]@InProceedings{Werner_2020_CVPR,
author = {Werner, Tomas and Prusa, Daniel and Dlask, Tomas},
title = {Relative Interior Rule in Block-Coordinate Descent},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Combinatorial Solver for Graph Matching-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Tao and Liu, He and Li, Yidong and Jin, Yi and Hou, Xiaohui and Ling, Haibin},
title = {Learning Combinatorial Solver for Graph Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SampleNet: Differentiable Point Cloud Sampling-
[pdf]
[bibtex]@InProceedings{Lang_2020_CVPR,
author = {Lang, Itai and Manor, Asaf and Avidan, Shai},
title = {SampleNet: Differentiable Point Cloud Sampling},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?-
[pdf]
[bibtex]@InProceedings{Messaoud_2020_CVPR,
author = {Messaoud, Safa and Kumar, Maghav and Schwing, Alexander G.},
title = {Can We Learn Heuristics for Graphical Model Inference Using Reinforcement Learning?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Quasi-Newton Solver for Robust Non-Rigid Registration-
[pdf]
[bibtex]@InProceedings{Yao_2020_CVPR,
author = {Yao, Yuxin and Deng, Bailin and Xu, Weiwei and Zhang, Juyong},
title = {Quasi-Newton Solver for Robust Non-Rigid Registration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective-
[pdf]
[bibtex]@InProceedings{Jamal_2020_CVPR,
author = {Jamal, Muhammad Abdullah and Brown, Matthew and Yang, Ming-Hsuan and Wang, Liqiang and Gong, Boqing},
title = {Rethinking Class-Balanced Methods for Long-Tailed Visual Recognition From a Domain Adaptation Perspective},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Optimizing Rank-Based Metrics With Blackbox Differentiation-
[pdf]
[bibtex]@InProceedings{Rolinek_2020_CVPR,
author = {Rolinek, Michal and Musil, Vit and Paulus, Anselm and Vlastelica, Marin and Michaelis, Claudio and Martius, Georg},
title = {Optimizing Rank-Based Metrics With Blackbox Differentiation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DualSDF: Semantic Shape Manipulation Using a Two-Level Representation-
[pdf]
[bibtex]@InProceedings{Hao_2020_CVPR,
author = {Hao, Zekun and Averbuch-Elor, Hadar and Snavely, Noah and Belongie, Serge},
title = {DualSDF: Semantic Shape Manipulation Using a Two-Level Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Duo and Chen, Qifeng},
title = {Dynamic Hierarchical Mimicking Towards Consistent Optimization Objectives},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Homography Estimation for Dynamic Scenes-
[pdf]
[bibtex]@InProceedings{Le_2020_CVPR,
author = {Le, Hoang and Liu, Feng and Zhang, Shu and Agarwala, Aseem},
title = {Deep Homography Estimation for Dynamic Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PF-Net: Point Fractal Network for 3D Point Cloud Completion-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Zitian and Yu, Yikuan and Xu, Jiawen and Ni, Feng and Le, Xinyi},
title = {PF-Net: Point Fractal Network for 3D Point Cloud Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On the Regularization Properties of Structured Dropout-
[pdf]
[bibtex]@InProceedings{Pal_2020_CVPR,
author = {Pal, Ambar and Lane, Connor and Vidal, Rene and Haeffele, Benjamin D.},
title = {On the Regularization Properties of Structured Dropout},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Oracle Attention for High-Fidelity Face Completion-
[pdf]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Tong and Ding, Changxing and Lin, Shaowen and Wang, Xinchao and Tao, Dacheng},
title = {Learning Oracle Attention for High-Fidelity Face Completion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Image Spatial Transformation for Person Image Generation-
[pdf]
[bibtex]@InProceedings{Ren_2020_CVPR,
author = {Ren, Yurui and Yu, Xiaoming and Chen, Junming and Li, Thomas H. and Li, Ge},
title = {Deep Image Spatial Transformation for Person Image Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Optimize on SPD Manifolds-
[pdf]
[bibtex]@InProceedings{Gao_2020_CVPR,
author = {Gao, Zhi and Wu, Yuwei and Jia, Yunde and Harandi, Mehrtash},
title = {Learning to Optimize on SPD Manifolds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep 3D Portrait From a Single Image-
[pdf]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Sicheng and Yang, Jiaolong and Chen, Dong and Wen, Fang and Deng, Yu and Jia, Yunde and Tong, Xin},
title = {Deep 3D Portrait From a Single Image},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RDCFace: Radial Distortion Correction for Face Recognition-
[pdf]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, He and Ying, Xianghua and Shi, Yongjie and Tong, Xin and Wen, Jingsi and Zha, Hongbin},
title = {RDCFace: Radial Distortion Correction for Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yaobin and Deng, Weihong and Wang, Mei and Hu, Jiani and Li, Xian and Zhao, Dongyue and Wen, Dongchao},
title = {Global-Local GCN: Large-Scale Label Noise Cleansing for Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis-
[pdf]
[bibtex]@InProceedings{Weng_2020_CVPR,
author = {Weng, Shuchen and Li, Wenbo and Li, Dawei and Jin, Hongxia and Shi, Boxin},
title = {MISC: Multi-Condition Injection and Spatially-Adaptive Compositing for Conditional Person Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis-
[pdf]
[bibtex]@InProceedings{Peng_2020_CVPR,
author = {Peng, Cheng and Lin, Wei-An and Liao, Haofu and Chellappa, Rama and Zhou, S. Kevin},
title = {SAINT: Spatially Aware Interpolation NeTwork for Medical Slice Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Recurrent Feature Reasoning for Image Inpainting-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Jingyuan and Wang, Ning and Zhang, Lefei and Du, Bo and Tao, Dacheng},
title = {Recurrent Feature Reasoning for Image Inpainting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Structure-Preserving Super Resolution With Gradient Guidance-
[pdf]
[bibtex]@InProceedings{Ma_2020_CVPR,
author = {Ma, Cheng and Rao, Yongming and Cheng, Yean and Chen, Ce and Lu, Jiwen and Zhou, Jie},
title = {Structure-Preserving Super Resolution With Gradient Guidance},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Epipolar Transformers-
[pdf]
[bibtex]@InProceedings{He_2020_CVPR,
author = {He, Yihui and Yan, Rui and Fragkiadaki, Katerina and Yu, Shoou-I},
title = {Epipolar Transformers},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Diversified Arbitrary Style Transfer via Deep Feature Perturbation-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Zhizhong and Zhao, Lei and Chen, Haibo and Qiu, Lihong and Mo, Qihang and Lin, Sihuan and Xing, Wei and Lu, Dongming},
title = {Diversified Arbitrary Style Transfer via Deep Feature Perturbation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Karnewar_2020_CVPR,
author = {Karnewar, Animesh and Wang, Oliver},
title = {MSG-GAN: Multi-Scale Gradients for Generative Adversarial Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Miao and Li, Huiqi and Pan, Shirui and Chang, Xiaojun and Su, Steven},
title = {Overcoming Multi-Model Forgetting in One-Shot NAS With Diversity Maximization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds-
[pdf]
[bibtex]@InProceedings{Joneidi_2020_CVPR,
author = {Joneidi, Mohsen and Vahidian, Saeed and Esmaeili, Ashkan and Wang, Weijia and Rahnavard, Nazanin and Lin, Bill and Shah, Mubarak},
title = {Select to Better Learn: Fast and Accurate Deep Learning Using Data Selection From Nonlinear Manifolds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Neural Point Cloud Rendering via Multi-Plane Projection-
[pdf]
[bibtex]@InProceedings{Dai_2020_CVPR,
author = {Dai, Peng and Zhang, Yinda and Li, Zhuwen and Liu, Shuaicheng and Zeng, Bing},
title = {Neural Point Cloud Rendering via Multi-Plane Projection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Wish You Were Here: Context-Aware Human Generation-
[pdf]
[bibtex]@InProceedings{Gafni_2020_CVPR,
author = {Gafni, Oran and Wolf, Lior},
title = {Wish You Were Here: Context-Aware Human Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Han and Zhang, Ruimao and Guo, Xiaobao and Liu, Wei and Zuo, Wangmeng and Luo, Ping},
title = {Towards Photo-Realistic Virtual Try-On by Adaptively Generating-Preserving Image Content},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Breaking the Cycle - Colleagues Are All You Need-
[pdf]
[bibtex]@InProceedings{Nizan_2020_CVPR,
author = {Nizan, Ori and Tal, Ayellet},
title = {Breaking the Cycle - Colleagues Are All You Need},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation-
[pdf]
[bibtex]@InProceedings{Tang_2020_CVPR,
author = {Tang, Hao and Xu, Dan and Yan, Yan and Torr, Philip H.S. and Sebe, Nicu},
title = {Local Class-Specific and Global Image-Level Generative Adversarial Networks for Semantic-Guided Scene Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ManiGAN: Text-Guided Image Manipulation-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Bowen and Qi, Xiaojuan and Lukasiewicz, Thomas and Torr, Philip H.S.},
title = {ManiGAN: Text-Guided Image Manipulation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions-
[pdf]
[bibtex]@InProceedings{Durall_2020_CVPR,
author = {Durall, Ricard and Keuper, Margret and Keuper, Janis},
title = {Watch Your Up-Convolution: CNN Based Generative Deep Neural Networks Are Failing to Reproduce Spectral Distributions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems-
[pdf]
[bibtex]@InProceedings{Knobelreiter_2020_CVPR,
author = {Knobelreiter, Patrick and Sormann, Christian and Shekhovtsov, Alexander and Fraundorfer, Friedrich and Pock, Thomas},
title = {Belief Propagation Reloaded: Learning BP-Layers for Labeling Problems},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Barycenters of Natural Images Constrained Wasserstein Barycenters for Image Morphing-
[pdf]
[bibtex]@InProceedings{Simon_2020_CVPR,
author = {Simon, Dror and Aberdam, Aviad},
title = {Barycenters of Natural Images Constrained Wasserstein Barycenters for Image Morphing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Guided Variational Autoencoder for Disentanglement Learning-
[pdf]
[bibtex]@InProceedings{Ding_2020_CVPR,
author = {Ding, Zheng and Xu, Yifan and Xu, Weijian and Parmar, Gaurav and Yang, Yang and Welling, Max and Tu, Zhuowen},
title = {Guided Variational Autoencoder for Disentanglement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cross-Spectral Face Hallucination via Disentangling Independent Factors-
[pdf]
[bibtex]@InProceedings{Duan_2020_CVPR,
author = {Duan, Boyan and Fu, Chaoyou and Li, Yi and Song, Xingguang and He, Ran},
title = {Cross-Spectral Face Hallucination via Disentangling Independent Factors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules-
[pdf]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Zhengxue and Sun, Heming and Takeuchi, Masaru and Katto, Jiro},
title = {Learned Image Compression With Discretized Gaussian Mixture Likelihoods and Attention Modules},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds-
[pdf]
[bibtex]@InProceedings{Pumarola_2020_CVPR,
author = {Pumarola, Albert and Popov, Stefan and Moreno-Noguer, Francesc and Ferrari, Vittorio},
title = {C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cogradient Descent for Bilinear Optimization-
[pdf]
[bibtex]@InProceedings{Zhuo_2020_CVPR,
author = {Zhuo, Li'an and Zhang, Baochang and Yang, Linlin and Chen, Hanlin and Ye, Qixiang and Doermann, David and Ji, Rongrong and Guo, Guodong},
title = {Cogradient Descent for Bilinear Optimization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Instance-Aware Image Colorization-
[pdf]
[bibtex]@InProceedings{Su_2020_CVPR,
author = {Su, Jheng-Wei and Chu, Hung-Kuo and Huang, Jia-Bin},
title = {Instance-Aware Image Colorization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Joint Training of Variational Auto-Encoder and Latent Energy-Based Model-
[pdf]
[bibtex]@InProceedings{Han_2020_CVPR,
author = {Han, Tian and Nijkamp, Erik and Zhou, Linqi and Pang, Bo and Zhu, Song-Chun and Wu, Ying Nian},
title = {Joint Training of Variational Auto-Encoder and Latent Energy-Based Model},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Loss-Aware Quantization for Multi-Bit Networks-
[pdf]
[bibtex]@InProceedings{Qu_2020_CVPR,
author = {Qu, Zhongnan and Zhou, Zimu and Cheng, Yun and Thiele, Lothar},
title = {Adaptive Loss-Aware Quantization for Multi-Bit Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ScopeFlow: Dynamic Scene Scoping for Optical Flow-
[pdf]
[bibtex]@InProceedings{Bar-Haim_2020_CVPR,
author = {Bar-Haim, Aviram and Wolf, Lior},
title = {ScopeFlow: Dynamic Scene Scoping for Optical Flow},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Video Super-Resolution With Temporal Group Attention-
[pdf]
[bibtex]@InProceedings{Isobe_2020_CVPR,
author = {Isobe, Takashi and Li, Songjiang and Jia, Xu and Yuan, Shanxin and Slabaugh, Gregory and Xu, Chunjing and Li, Ya-Li and Wang, Shengjin and Tian, Qi},
title = {Video Super-Resolution With Temporal Group Attention},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yawei and Gu, Shuhang and Mayer, Christoph and Gool, Luc Van and Timofte, Radu},
title = {Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D Photography Using Context-Aware Layered Depth Inpainting-
[pdf]
[bibtex]@InProceedings{Shih_2020_CVPR,
author = {Shih, Meng-Li and Su, Shih-Yang and Kopf, Johannes and Huang, Jia-Bin},
title = {3D Photography Using Context-Aware Layered Depth Inpainting},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yuheng and Singh, Krishna Kumar and Ojha, Utkarsh and Lee, Yong Jae},
title = {MixNMatch: Multifactor Disentanglement and Encoding for Conditional Image Generation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer-
[pdf]
[bibtex]@InProceedings{Idelbayev_2020_CVPR,
author = {Idelbayev, Yerlan and Carreira-Perpinan, Miguel A.},
title = {Low-Rank Compression of Neural Nets: Learning the Rank of Each Layer},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Global Texture Enhancement for Fake Face Detection in the Wild-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Zhengzhe and Qi, Xiaojuan and Torr, Philip H.S.},
title = {Global Texture Enhancement for Fake Face Detection in the Wild},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Panoptic-Based Image Synthesis-
[pdf]
[bibtex]@InProceedings{Dundar_2020_CVPR,
author = {Dundar, Aysegul and Sapra, Karan and Liu, Guilin and Tao, Andrew and Catanzaro, Bryan},
title = {Panoptic-Based Image Synthesis},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination-
[pdf]
[bibtex]@InProceedings{Srinivasan_2020_CVPR,
author = {Srinivasan, Pratul P. and Mildenhall, Ben and Tancik, Matthew and Barron, Jonathan T. and Tucker, Richard and Snavely, Noah},
title = {Lighthouse: Predicting Lighting Volumes for Spatially-Coherent Illumination},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning to Cartoonize Using White-Box Cartoon Representations-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Xinrui and Yu, Jinze},
title = {Learning to Cartoonize Using White-Box Cartoon Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Bo and Parra, Alvaro and Cao, Jiewei and Li, Nan and Chin, Tat-Jun},
title = {End-to-End Learnable Geometric Vision by Backpropagating PnP Optimization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Analyzing and Improving the Image Quality of StyleGAN-
[pdf]
[bibtex]@InProceedings{Karras_2020_CVPR,
author = {Karras, Tero and Laine, Samuli and Aittala, Miika and Hellsten, Janne and Lehtinen, Jaakko and Aila, Timo},
title = {Analyzing and Improving the Image Quality of StyleGAN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fashion Editing With Adversarial Parsing Learning-
[pdf]
[bibtex]@InProceedings{Dong_2020_CVPR,
author = {Dong, Haoye and Liang, Xiaodan and Zhang, Yixuan and Zhang, Xujie and Shen, Xiaohui and Xie, Zhenyu and Wu, Bowen and Yin, Jian},
title = {Fashion Editing With Adversarial Parsing Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Augment Your Batch: Improving Generalization Through Instance Repetition-
[pdf]
[bibtex]@InProceedings{Hoffer_2020_CVPR,
author = {Hoffer, Elad and Ben-Nun, Tal and Hubara, Itay and Giladi, Niv and Hoefler, Torsten and Soudry, Daniel},
title = {Augment Your Batch: Improving Generalization Through Instance Repetition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Daquan and Long, Chengjiang and Zhang, Hongpan and Yu, Hanning and Dong, Xinzhi and Xiao, Chunxia},
title = {ARShadowGAN: Shadow Generative Adversarial Network for Augmented Reality in Single Light Scenes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An End-to-End Edge Aggregation Network for Moving Object Segmentation-
[pdf]
[bibtex]@InProceedings{Patil_2020_CVPR,
author = {Patil, Prashant W. and Biradar, Kuldeep M. and Dudhane, Akshay and Murala, Subrahmanyam},
title = {An End-to-End Edge Aggregation Network for Moving Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Video Stabilization Using Optical Flow-
[pdf]
[bibtex]@InProceedings{Yu_2020_CVPR,
author = {Yu, Jiyang and Ramamoorthi, Ravi},
title = {Learning Video Stabilization Using Optical Flow},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Runfa and Huang, Wenbing and Huang, Binghui and Sun, Fuchun and Fang, Bin},
title = {Reusing Discriminators for Encoding: Towards Unsupervised Image-to-Image Translation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory-
[pdf]
[bibtex]@InProceedings{Rahnama_2020_CVPR,
author = {Rahnama, Arash and Nguyen, Andre T. and Raff, Edward},
title = {Robust Design of Deep Neural Networks Against Adversarial Attacks Based on Lyapunov Theory},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
StarGAN v2: Diverse Image Synthesis for Multiple Domains-
[pdf]
[bibtex]@InProceedings{Choi_2020_CVPR,
author = {Choi, Yunjey and Uh, Youngjung and Yoo, Jaejun and Ha, Jung-Woo},
title = {StarGAN v2: Diverse Image Synthesis for Multiple Domains},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Warping Residual Based Image Stitching for Large Parallax-
[pdf]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Kyu-Yul and Sim, Jae-Young},
title = {Warping Residual Based Image Stitching for Large Parallax},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A U-Net Based Discriminator for Generative Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Schonfeld_2020_CVPR,
author = {Schonfeld, Edgar and Schiele, Bernt and Khoreva, Anna},
title = {A U-Net Based Discriminator for Generative Adversarial Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping-
[pdf]
[bibtex]@InProceedings{Yi_2020_CVPR,
author = {Yi, Ran and Liu, Yong-Jin and Lai, Yu-Kun and Rosin, Paul L.},
title = {Unpaired Portrait Drawing Generation via Asymmetric Cycle Mapping},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
When to Use Convolutional Neural Networks for Inverse Problems-
[pdf]
[bibtex]@InProceedings{Chodosh_2020_CVPR,
author = {Chodosh, Nathaniel and Lucey, Simon},
title = {When to Use Convolutional Neural Networks for Inverse Problems},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood-
[pdf]
[bibtex]@InProceedings{Kumar_2020_CVPR,
author = {Kumar, Abhinav and Marks, Tim K. and Mou, Wenxuan and Wang, Ye and Jones, Michael and Cherian, Anoop and Koike-Akino, Toshiaki and Liu, Xiaoming and Feng, Chen},
title = {LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Affinity Graph Supervision for Visual Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Chu and Samari, Babak and Kim, Vladimir G. and Chaudhuri, Siddhartha and Siddiqi, Kaleem},
title = {Affinity Graph Supervision for Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Magnification of Posture Deviations Across Subjects-
[pdf]
[bibtex]@InProceedings{Dorkenwald_2020_CVPR,
author = {Dorkenwald, Michael and Buchler, Uta and Ommer, Bjorn},
title = {Unsupervised Magnification of Posture Deviations Across Subjects},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network-
[pdf]
[bibtex]@InProceedings{Yin_2020_CVPR,
author = {Yin, Fukun and Zhou, Shizhe},
title = {Accurate Estimation of Body Height From a Single Depth Image via a Four-Stage Developing Network},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Soft Color Segmentation-
[pdf]
[bibtex]@InProceedings{Akimoto_2020_CVPR,
author = {Akimoto, Naofumi and Zhu, Huachun and Jin, Yanghua and Aoki, Yoshimitsu},
title = {Fast Soft Color Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Global Optimality for Point Set Registration Using Semidefinite Programming-
[pdf]
[bibtex]@InProceedings{Iglesias_2020_CVPR,
author = {Iglesias, Jose Pedro and Olsson, Carl and Kahl, Fredrik},
title = {Global Optimality for Point Set Registration Using Semidefinite Programming},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Image2StyleGAN++: How to Edit the Embedded Images?-
[pdf]
[bibtex]@InProceedings{Abdal_2020_CVPR,
author = {Abdal, Rameen and Qin, Yipeng and Wonka, Peter},
title = {Image2StyleGAN++: How to Edit the Embedded Images?},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Yanru and Zhu, Feiyu and Zeng, Zheni and Qiu, Xi and Shen, Yuan and Wu, Jianan},
title = {SQE: a Self Quality Evaluation Metric for Parameters Optimization in Multi-Object Tracking},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Lin and Kim, Tae-Kyun and Yoon, Kuk-Jin},
title = {EventSR: From Asynchronous Events to Image Reconstruction, Restoration, and Super-Resolution via End-to-End Adversarial Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Pyramid Diverse Attention Networks for Face Recognition-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Qiangchang and Wu, Tianyi and Zheng, He and Guo, Guodong},
title = {Hierarchical Pyramid Diverse Attention Networks for Face Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
RGBD-Dog: Predicting Canine Pose from RGBD Sensors-
[pdf]
[bibtex]@InProceedings{Kearney_2020_CVPR,
author = {Kearney, Sinead and Li, Wenbin and Parsons, Martin and Kim, Kwang In and Cosker, Darren},
title = {RGBD-Dog: Predicting Canine Pose from RGBD Sensors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Scale Progressive Fusion Network for Single Image Deraining-
[pdf]
[bibtex]@InProceedings{Jiang_2020_CVPR,
author = {Jiang, Kui and Wang, Zhongyuan and Yi, Peng and Chen, Chen and Huang, Baojin and Luo, Yimin and Ma, Jiayi and Jiang, Junjun},
title = {Multi-Scale Progressive Fusion Network for Single Image Deraining},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning a Neural 3D Texture Space From 2D Exemplars-
[pdf]
[bibtex]@InProceedings{Henzler_2020_CVPR,
author = {Henzler, Philipp and Mitra, Niloy J. and Ritschel, Tobias},
title = {Learning a Neural 3D Texture Space From 2D Exemplars},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BachGAN: High-Resolution Image Synthesis From Salient Object Layout-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yandong and Cheng, Yu and Gan, Zhe and Yu, Licheng and Wang, Liqiang and Liu, Jingjing},
title = {BachGAN: High-Resolution Image Synthesis From Salient Object Layout},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy-
[pdf]
[bibtex]@InProceedings{Yoo_2020_CVPR,
author = {Yoo, Jaejun and Ahn, Namhyuk and Sohn, Kyung-Ah},
title = {Rethinking Data Augmentation for Image Super-resolution: A Comprehensive Analysis and a New Strategy},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
On Positive-Unlabeled Classification in GAN-
[pdf]
[bibtex]@InProceedings{Guo_2020_CVPR,
author = {Guo, Tianyu and Xu, Chang and Huang, Jiajun and Wang, Yunhe and Shi, Boxin and Xu, Chao and Tao, Dacheng},
title = {On Positive-Unlabeled Classification in GAN},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DoveNet: Deep Image Harmonization via Domain Verification-
[pdf]
[bibtex]@InProceedings{Cong_2020_CVPR,
author = {Cong, Wenyan and Zhang, Jianfu and Niu, Li and Liu, Liu and Ling, Zhixin and Li, Weiyuan and Zhang, Liqing},
title = {DoveNet: Deep Image Harmonization via Domain Verification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Noise Robust Generative Adversarial Networks-
[pdf]
[bibtex]@InProceedings{Kaneko_2020_CVPR,
author = {Kaneko, Takuhiro and Harada, Tatsuya},
title = {Noise Robust Generative Adversarial Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Normalizing Flows With Multi-Scale Autoregressive Priors-
[pdf]
[bibtex]@InProceedings{Bhattacharyya_2020_CVPR,
author = {Bhattacharyya, Apratim and Mahajan, Shweta and Fritz, Mario and Schiele, Bernt and Roth, Stefan},
title = {Normalizing Flows With Multi-Scale Autoregressive Priors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution-
[pdf]
[bibtex]@InProceedings{Shim_2020_CVPR,
author = {Shim, Gyumin and Park, Jinsun and Kweon, In So},
title = {Robust Reference-Based Super-Resolution With Similarity-Aware Deformable Convolution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings-
[pdf]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Amy and Balakrishnan, Guha and Lewis, Kathleen M. and Durand, Fredo and Guttag, John V. and Dalca, Adrian V.},
title = {Painting Many Pasts: Synthesizing Time Lapse Videos of Paintings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GeoDA: A Geometric Framework for Black-Box Adversarial Attacks-
[pdf]
[bibtex]@InProceedings{Rahmati_2020_CVPR,
author = {Rahmati, Ali and Moosavi-Dezfooli, Seyed-Mohsen and Frossard, Pascal and Dai, Huaiyu},
title = {GeoDA: A Geometric Framework for Black-Box Adversarial Attacks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data-
[pdf]
[bibtex]@InProceedings{Yoon_2020_CVPR,
author = {Yoon, Seongwook and Sull, Sanghoon},
title = {GAMIN: Generative Adversarial Multiple Imputation Network for Highly Missing Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, You and Yu, Yuanlong},
title = {An Internal Covariate Shift Bounding Algorithm for Deep Neural Networks by Unitizing Layers' Outputs},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Unified Optimization Framework for Low-Rank Inducing Penalties-
[pdf]
[bibtex]@InProceedings{Ornhag_2020_CVPR,
author = {Ornhag, Marcus Valtonen and Olsson, Carl},
title = {A Unified Optimization Framework for Low-Rank Inducing Penalties},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Single-Side Domain Generalization for Face Anti-Spoofing-
[pdf]
[bibtex]@InProceedings{Jia_2020_CVPR,
author = {Jia, Yunpei and Zhang, Jie and Shan, Shiguang and Chen, Xilin},
title = {Single-Side Domain Generalization for Face Anti-Spoofing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
The Knowledge Within: Methods for Data-Free Model Compression-
[pdf]
[bibtex]@InProceedings{Haroush_2020_CVPR,
author = {Haroush, Matan and Hubara, Itay and Hoffer, Elad and Soudry, Daniel},
title = {The Knowledge Within: Methods for Data-Free Model Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scale-Space Flow for End-to-End Optimized Video Compression-
[pdf]
[bibtex]@InProceedings{Agustsson_2020_CVPR,
author = {Agustsson, Eirikur and Minnen, David and Johnston, Nick and Balle, Johannes and Hwang, Sung Jin and Toderici, George},
title = {Scale-Space Flow for End-to-End Optimized Video Compression},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dynamic Neural Relational Inference-
[pdf]
[bibtex]@InProceedings{Graber_2020_CVPR,
author = {Graber, Colin and Schwing, Alexander G.},
title = {Dynamic Neural Relational Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Real-Time Panoptic Segmentation From Dense Detections-
[pdf]
[bibtex]@InProceedings{Hou_2020_CVPR,
author = {Hou, Rui and Li, Jie and Bhargava, Arjun and Raventos, Allan and Guizilini, Vitor and Fang, Chao and Lynch, Jerome and Gaidon, Adrien},
title = {Real-Time Panoptic Segmentation From Dense Detections},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Snake for Real-Time Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Peng_2020_CVPR,
author = {Peng, Sida and Jiang, Wen and Pi, Huaijin and Li, Xiuli and Bao, Hujun and Zhou, Xiaowei},
title = {Deep Snake for Real-Time Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss-
[pdf]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Chenyang and Xu, Kai and Chaudhuri, Siddhartha and Yi, Li and Guibas, Leonidas J. and Zhang, Hao},
title = {AdaCoSeg: Adaptive Shape Co-Segmentation With Group Consistency Loss},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Dynamic Routing for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Yanwei and Song, Lin and Chen, Yukang and Li, Zeming and Zhang, Xiangyu and Wang, Xingang and Sun, Jian},
title = {Learning Dynamic Routing for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Boosting Semantic Human Matting With Coarse Annotations-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Jinlin and Yao, Yuan and Hou, Wendi and Cui, Miaomiao and Xie, Xuansong and Zhang, Changshui and Hua, Xian-Sheng},
title = {Boosting Semantic Human Matting With Coarse Annotations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Hao and Sun, Kunyang and Tian, Zhi and Shen, Chunhua and Huang, Yongming and Yan, Youliang},
title = {BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Jing and Fan, Deng-Ping and Dai, Yuchao and Anwar, Saeed and Saleh, Fatemeh Sadat and Zhang, Tong and Barnes, Nick},
title = {UC-Net: Uncertainty Inspired RGB-D Saliency Detection via Conditional Variational Autoencoders},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence-
[pdf]
[bibtex]@InProceedings{Donati_2020_CVPR,
author = {Donati, Nicolas and Sharma, Abhishek and Ovsjanikov, Maks},
title = {Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Polarization Cues for Transparent Object Segmentation-
[pdf]
[bibtex]@InProceedings{Kalra_2020_CVPR,
author = {Kalra, Agastya and Taamazyan, Vage and Rao, Supreeth Krishna and Venkataraman, Kartik and Raskar, Ramesh and Kadambi, Achuta},
title = {Deep Polarization Cues for Transparent Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes-
[pdf]
[bibtex]@InProceedings{Schult_2020_CVPR,
author = {Schult, Jonas and Engelmann, Francis and Kontogianni, Theodora and Leibe, Bastian},
title = {DualConvMesh-Net: Joint Geodesic and Euclidean Convolutions on 3D Meshes},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation-
[pdf]
[bibtex]@InProceedings{Sofiiuk_2020_CVPR,
author = {Sofiiuk, Konstantin and Petrov, Ilia and Barinova, Olga and Konushin, Anton},
title = {F-BRS: Rethinking Backpropagating Refinement for Interactive Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Approximating shapes in images with low-complexity polygons-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Muxingzi and Lafarge, Florent and Marlet, Renaud},
title = {Approximating shapes in images with low-complexity polygons},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Visually Explaining Variational Autoencoders-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Wenqian and Li, Runze and Zheng, Meng and Karanam, Srikrishna and Wu, Ziyan and Bhanu, Bir and Radke, Richard J. and Camps, Octavia},
title = {Towards Visually Explaining Variational Autoencoders},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Global Explanations of Convolutional Neural Networks With Concept Attribution-
[pdf]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Weibin and Su, Yuxin and Chen, Xixian and Zhao, Shenglin and King, Irwin and Lyu, Michael R. and Tai, Yu-Wing},
title = {Towards Global Explanations of Convolutional Neural Networks With Concept Attribution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interpretable and Accurate Fine-grained Recognition via Region Grouping-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Zixuan and Li, Yin},
title = {Interpretable and Accurate Fine-grained Recognition via Region Grouping},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SAM: The Sensitivity of Attribution Methods to Hyperparameters-
[pdf]
[bibtex]@InProceedings{Bansal_2020_CVPR,
author = {Bansal, Naman and Agarwal, Chirag and Nguyen, Anh},
title = {SAM: The Sensitivity of Attribution Methods to Hyperparameters},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Haohan and Wu, Xindi and Huang, Zeyi and Xing, Eric P.},
title = {High-Frequency Component Helps Explain the Generalization of Convolutional Neural Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CNN-Generated Images Are Surprisingly Easy to Spot... for Now-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Sheng-Yu and Wang, Oliver and Zhang, Richard and Owens, Andrew and Efros, Alexei A.},
title = {CNN-Generated Images Are Surprisingly Easy to Spot... for Now},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Shaohua and Xue, Kaiping and Zhu, Bin and Ding, Chenkai and Gao, Xindi and Wei, David and Wan, Tao},
title = {FALCON: A Fourier Transform Based Approach for Fast and Secure Convolutional Neural Network Predictions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion-
[pdf]
[bibtex]@InProceedings{Yin_2020_CVPR,
author = {Yin, Hongxu and Molchanov, Pavlo and Alvarez, Jose M. and Li, Zhizhong and Mallya, Arun and Hoiem, Derek and Jha, Niraj K. and Kautz, Jan},
title = {Dreaming to Distill: Data-Free Knowledge Transfer via DeepInversion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering-
[pdf]
[bibtex]@InProceedings{Tang_2020_CVPR,
author = {Tang, Hui and Chen, Ke and Jia, Kui},
title = {Unsupervised Domain Adaptation via Structurally Regularized Deep Clustering},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
HyperSTAR: Task-Aware Hyperparameters for Deep Networks-
[pdf]
[bibtex]@InProceedings{Mittal_2020_CVPR,
author = {Mittal, Gaurav and Liu, Chang and Karianakis, Nikolaos and Fragoso, Victor and Chen, Mei and Fu, Yun},
title = {HyperSTAR: Task-Aware Hyperparameters for Deep Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ActBERT: Learning Global-Local Video-Text Representations-
[pdf]
[bibtex]@InProceedings{Zhu_2020_CVPR,
author = {Zhu, Linchao and Yang, Yi},
title = {ActBERT: Learning Global-Local Video-Text Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
State-Relabeling Adversarial Active Learning-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Beichen and Li, Liang and Yang, Shijie and Wang, Shuhui and Zha, Zheng-Jun and Huang, Qingming},
title = {State-Relabeling Adversarial Active Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization-
[pdf]
[bibtex]@InProceedings{Mai_2020_CVPR,
author = {Mai, Jinjie and Yang, Meng and Luo, Wenfeng},
title = {Erasing Integrated Learning: A Simple Yet Effective Approach for Weakly Supervised Object Localization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning-
[pdf]
[bibtex]@InProceedings{Huynh_2020_CVPR,
author = {Huynh, Dat and Elhamifar, Ehsan},
title = {A Shared Multi-Attention Framework for Multi-Label Zero-Shot Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos-
[pdf]
[bibtex]@InProceedings{Jakab_2020_CVPR,
author = {Jakab, Tomas and Gupta, Ankush and Bilen, Hakan and Vedaldi, Andrea},
title = {Self-Supervised Learning of Interpretable Keypoints From Unlabelled Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Open-Set Recognition Using Meta-Learning-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Bo and Kang, Hao and Li, Haoxiang and Hua, Gang and Vasconcelos, Nuno},
title = {Few-Shot Open-Set Recognition Using Meta-Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions-
[pdf]
[bibtex]@InProceedings{Ye_2020_CVPR,
author = {Ye, Han-Jia and Hu, Hexiang and Zhan, De-Chuan and Sha, Fei},
title = {Few-Shot Learning via Embedding Adaptation With Set-to-Set Functions},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Temporally Distributed Networks for Fast Video Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Hu_2020_CVPR,
author = {Hu, Ping and Caba, Fabian and Wang, Oliver and Lin, Zhe and Sclaroff, Stan and Perazzi, Federico},
title = {Temporally Distributed Networks for Fast Video Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Benchmarking the Robustness of Semantic Segmentation Models-
[pdf]
[bibtex]@InProceedings{Kamann_2020_CVPR,
author = {Kamann, Christoph and Rother, Carsten},
title = {Benchmarking the Robustness of Semantic Segmentation Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
There and Back Again: Revisiting Backpropagation Saliency Methods-
[pdf]
[bibtex]@InProceedings{Rebuffi_2020_CVPR,
author = {Rebuffi, Sylvestre-Alvise and Fong, Ruth and Ji, Xu and Vedaldi, Andrea},
title = {There and Back Again: Revisiting Backpropagation Saliency Methods},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Semantic Clustering by Partition Confidence Maximisation-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Jiabo and Gong, Shaogang and Zhu, Xiatian},
title = {Deep Semantic Clustering by Partition Confidence Maximisation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
StructEdit: Learning Structural Shape Variations-
[pdf]
[bibtex]@InProceedings{Mo_2020_CVPR,
author = {Mo, Kaichun and Guerrero, Paul and Yi, Li and Su, Hao and Wonka, Peter and Mitra, Niloy J. and Guibas, Leonidas J.},
title = {StructEdit: Learning Structural Shape Variations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Harmonizing Transferability and Discriminability for Adapting Object Detectors-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Chaoqi and Zheng, Zebiao and Ding, Xinghao and Huang, Yue and Dou, Qi},
title = {Harmonizing Transferability and Discriminability for Adapting Object Detectors},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Xuhua and Xu, Jiarui and Tai, Yu-Wing and Tang, Chi-Keung},
title = {Fast Video Object Segmentation With Temporal Aggregation Network and Dynamic Template Matching},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement-
[pdf]
[bibtex]@InProceedings{Cheng_2020_CVPR,
author = {Cheng, Ho Kei and Chung, Jihoon and Tai, Yu-Wing and Tang, Chi-Keung},
title = {CascadePSP: Toward Class-Agnostic and Very High-Resolution Segmentation via Global and Local Refinement},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Correlating Edge, Pose With Parsing-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Ziwei and Su, Chi and Zheng, Liang and Xie, Xiaodong},
title = {Correlating Edge, Pose With Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction-
[pdf]
[bibtex]@InProceedings{Tan_2020_CVPR,
author = {Tan, Yong-Qiang and Gao, Shang-Hua and Li, Xuan-Yi and Cheng, Ming-Ming and Ren, Bo},
title = {VecRoad: Point-Based Iterative Graph Exploration for Road Graphs Extraction},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Zeyu and Qinami, Klint and Karakozis, Ioannis Christos and Genova, Kyle and Nair, Prem and Hata, Kenji and Russakovsky, Olga},
title = {Towards Fairness in Visual Recognition: Effective Strategies for Bias Mitigation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hierarchical Human Parsing With Typed Part-Relation Reasoning-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Wenguan and Zhu, Hailong and Dai, Jifeng and Pang, Yanwei and Shen, Jianbing and Shao, Ling},
title = {Hierarchical Human Parsing With Typed Part-Relation Reasoning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion-
[pdf]
[bibtex]@InProceedings{Kortylewski_2020_CVPR,
author = {Kortylewski, Adam and He, Ju and Liu, Qing and Yuille, Alan L.},
title = {Compositional Convolutional Neural Networks: A Deep Architecture With Innate Robustness to Partial Occlusion},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatial Pyramid Based Graph Reasoning for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Xia and Yang, Yibo and Zhao, Qijie and Shen, Tiancheng and Lin, Zhouchen and Liu, Hong},
title = {Spatial Pyramid Based Graph Reasoning for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Learning Video Object Segmentation From Unlabeled Videos-
[pdf]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Xiankai and Wang, Wenguan and Shen, Jianbing and Tai, Yu-Wing and Crandall, David J. and Hoi, Steven C. H.},
title = {Learning Video Object Segmentation From Unlabeled Videos},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Part-Aware Context Network for Human Parsing-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Xiaomei and Chen, Yingying and Zhu, Bingke and Wang, Jinqiao and Tang, Ming},
title = {Part-Aware Context Network for Human Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
SCOUT: Self-Aware Discriminant Counterfactual Explanations-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Pei and Vasconcelos, Nuno},
title = {SCOUT: Self-Aware Discriminant Counterfactual Explanations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Weakly-Supervised Semantic Segmentation via Sub-Category Exploration-
[pdf]
[bibtex]@InProceedings{Chang_2020_CVPR,
author = {Chang, Yu-Ting and Wang, Qiaosong and Hung, Wei-Chih and Piramuthu, Robinson and Tsai, Yi-Hsuan and Yang, Ming-Hsuan},
title = {Weakly-Supervised Semantic Segmentation via Sub-Category Exploration},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Continual Learning With Extended Kronecker-Factored Approximate Curvature-
[pdf]
[bibtex]@InProceedings{Lee_2020_CVPR,
author = {Lee, Janghyeon and Hong, Hyeong Gwon and Joo, Donggyu and Kim, Junmo},
title = {Continual Learning With Extended Kronecker-Factored Approximate Curvature},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Phase Consistent Ecological Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Yang_2020_CVPR,
author = {Yang, Yanchao and Lao, Dong and Sundaramoorthi, Ganesh and Soatto, Stefano},
title = {Phase Consistent Ecological Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification-
[pdf]
[bibtex]@InProceedings{Zhai_2020_CVPR,
author = {Zhai, Yunpeng and Lu, Shijian and Ye, Qixiang and Shan, Xuebo and Chen, Jie and Ji, Rongrong and Tian, Yonghong},
title = {AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-Identification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Engelmann_2020_CVPR,
author = {Engelmann, Francis and Bokeloh, Martin and Fathi, Alireza and Leibe, Bastian and Niessner, Matthias},
title = {3D-MPA: Multi-Proposal Aggregation for 3D Semantic Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision-
[pdf]
[bibtex]@InProceedings{Gudovskiy_2020_CVPR,
author = {Gudovskiy, Denis and Hodgkinson, Alec and Yamaguchi, Takuya and Tsukizawa, Sotaro},
title = {Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Kaihua and Li, Tengpeng and Shen, Shiwen and Liu, Bo and Chen, Jin and Liu, Qingshan},
title = {Adaptive Graph Convolutional Network With Attention Graph Clustering for Co-Saliency Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Piao_2020_CVPR,
author = {Piao, Yongri and Rong, Zhengkun and Zhang, Miao and Ren, Weisong and Lu, Huchuan},
title = {A2dele: Adaptive and Attentive Depth Distiller for Efficient RGB-D Salient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Deep Fair Clustering for Visual Learning-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Peizhao and Zhao, Han and Liu, Hongfu},
title = {Deep Fair Clustering for Visual Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Bidirectional Graph Reasoning Network for Panoptic Segmentation-
[pdf]
[bibtex]@InProceedings{Wu_2020_CVPR,
author = {Wu, Yangxin and Zhang, Gengwei and Gao, Yiming and Deng, Xiajun and Gong, Ke and Liang, Xiaodan and Lin, Liang},
title = {Bidirectional Graph Reasoning Network for Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition-
[pdf]
[bibtex]@InProceedings{Ho_2020_CVPR,
author = {Ho, Chih-Hui and Liu, Bo and Wu, Tz-Ying and Vasconcelos, Nuno},
title = {Exploit Clues From Views: Self-Supervised and Regularized Learning for Multiview Object Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spherical Space Domain Adaptation With Robust Pseudo-Label Loss-
[pdf]
[bibtex]@InProceedings{Gu_2020_CVPR,
author = {Gu, Xiang and Sun, Jian and Xu, Zongben},
title = {Spherical Space Domain Adaptation With Robust Pseudo-Label Loss},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Stochastic Classifiers for Unsupervised Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Lu_2020_CVPR,
author = {Lu, Zhihe and Yang, Yongxin and Zhu, Xiatian and Liu, Cong and Song, Yi-Zhe and Xiang, Tao},
title = {Stochastic Classifiers for Unsupervised Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Learning of Intrinsic Structural Representation Points-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Nenglun and Liu, Lingjie and Cui, Zhiming and Chen, Runnan and Ceylan, Duygu and Tu, Changhe and Wang, Wenping},
title = {Unsupervised Learning of Intrinsic Structural Representation Points},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PolyTransform: Deep Polygon Transformer for Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Liang_2020_CVPR,
author = {Liang, Justin and Homayounfar, Namdar and Ma, Wei-Chiu and Xiong, Yuwen and Hu, Rui and Urtasun, Raquel},
title = {PolyTransform: Deep Polygon Transformer for Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection-
[pdf]
[bibtex]@InProceedings{Zhou_2020_CVPR,
author = {Zhou, Huajun and Xie, Xiaohua and Lai, Jian-Huang and Chen, Zixuan and Yang, Lingxiao},
title = {Interactive Two-Stream Decoder for Accurate and Fast Saliency Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet-
[pdf]
[bibtex]@InProceedings{Zhao_2020_CVPR,
author = {Zhao, Wang and Liu, Shaohui and Shu, Yezhi and Liu, Yong-Jin},
title = {Towards Better Generalization: Joint Depth-Pose Learning Without PoseNet},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Shuxin and Cao, Shilei and Wei, Dong and Wang, Renzhen and Ma, Kai and Wang, Liansheng and Meng, Deyu and Zheng, Yefeng},
title = {LT-Net: Label Transfer by Learning Reversible Voxel-Wise Correspondence for One-Shot Medical Image Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
FGN: Fully Guided Network for Few-Shot Instance Segmentation-
[pdf]
[bibtex]@InProceedings{Fan_2020_CVPR,
author = {Fan, Zhibo and Yu, Jin-Gang and Liang, Zhihao and Ou, Jiarong and Gao, Changxin and Xia, Gui-Song and Li, Yuanqing},
title = {FGN: Fully Guided Network for Few-Shot Instance Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Quantum Computational Approach to Correspondence Problems on Point Sets-
[pdf]
[bibtex]@InProceedings{Golyanik_2020_CVPR,
author = {Golyanik, Vladislav and Theobalt, Christian},
title = {A Quantum Computational Approach to Correspondence Problems on Point Sets},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Data-Efficient Semi-Supervised Learning by Reliable Edge Mining-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Peibin and Ma, Tao and Qin, Xu and Xu, Weidi and Zhou, Shuchang},
title = {Data-Efficient Semi-Supervised Learning by Reliable Edge Mining},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
NestedVAE: Isolating Common Factors via Weak Supervision-
[pdf]
[bibtex]@InProceedings{Vowels_2020_CVPR,
author = {Vowels, Matthew J. and Camgoz, Necati Cihan and Bowden, Richard},
title = {NestedVAE: Isolating Common Factors via Weak Supervision},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Progressive Adversarial Networks for Fine-Grained Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Sinan and Chen, Xinyang and Wang, Yunbo and Long, Mingsheng and Wang, Jianmin},
title = {Progressive Adversarial Networks for Fine-Grained Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
A Disentangling Invertible Interpretation Network for Explaining Latent Representations-
[pdf]
[bibtex]@InProceedings{Esser_2020_CVPR,
author = {Esser, Patrick and Rombach, Robin and Ommer, Bjorn},
title = {A Disentangling Invertible Interpretation Network for Explaining Latent Representations},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Modeling the Background for Incremental Learning in Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Cermelli_2020_CVPR,
author = {Cermelli, Fabio and Mancini, Massimiliano and Bulo, Samuel Rota and Ricci, Elisa and Caputo, Barbara},
title = {Modeling the Background for Incremental Learning in Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interpreting the Latent Space of GANs for Semantic Face Editing-
[pdf]
[bibtex]@InProceedings{Shen_2020_CVPR,
author = {Shen, Yujun and Gu, Jinjin and Tang, Xiaoou and Zhou, Bolei},
title = {Interpreting the Latent Space of GANs for Semantic Face Editing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation-
[pdf]
[bibtex]@InProceedings{Wan_2020_CVPR,
author = {Wan, Jianqiang and Liu, Yang and Wei, Donglai and Bai, Xiang and Xu, Yongchao},
title = {Super-BPD: Super Boundary-to-Pixel Direction for Fast Image Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Self-Learning With Rectification Strategy for Human Parsing-
[pdf]
[bibtex]@InProceedings{Li_2020_CVPR,
author = {Li, Tao and Liang, Zhiyuan and Zhao, Sanyuan and Gong, Jiahao and Shen, Jianbing},
title = {Self-Learning With Rectification Strategy for Human Parsing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Hyperbolic Visual Embedding Learning for Zero-Shot Recognition-
[pdf]
[bibtex]@InProceedings{Liu_2020_CVPR,
author = {Liu, Shaoteng and Chen, Jingjing and Pan, Liangming and Ngo, Chong-Wah and Chua, Tat-Seng and Jiang, Yu-Gang},
title = {Hyperbolic Visual Embedding Learning for Zero-Shot Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget-
[pdf]
[bibtex]@InProceedings{Davidson_2020_CVPR,
author = {Davidson, Guy and Mozer, Michael C.},
title = {Sequential Mastery of Multiple Visual Tasks: Networks Naturally Learn to Learn and Forget to Forget},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Distilling Effective Supervision From Severe Label Noise-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Zizhao and Zhang, Han and Arik, Sercan O. and Lee, Honglak and Pfister, Tomas},
title = {Distilling Effective Supervision From Severe Label Noise},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks-
[pdf]
[bibtex]@InProceedings{Golatkar_2020_CVPR,
author = {Golatkar, Aditya and Achille, Alessandro and Soatto, Stefano},
title = {Eternal Sunshine of the Spotless Net: Selective Forgetting in Deep Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
CenterMask: Single Shot Instance Segmentation With Point Representation-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yuqing and Xu, Zhaoliang and Shen, Hao and Cheng, Baoshan and Yang, Lirong},
title = {CenterMask: Single Shot Instance Segmentation With Point Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Mei and Deng, Weihong},
title = {Mitigating Bias in Face Recognition Using Skewness-Aware Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Yaxing and Gonzalez-Garcia, Abel and Berga, David and Herranz, Luis and Khan, Fahad Shahbaz and Weijer, Joost van de},
title = {MineGAN: Effective Knowledge Transfer From GANs to Target Domains With Few Images},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data-
[pdf]
[bibtex]@InProceedings{Ramanathan_2020_CVPR,
author = {Ramanathan, Vignesh and Wang, Rui and Mahajan, Dhruv},
title = {DLWL: Improving Detection for Lowshot Classes With Weakly Labelled Data},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Deep Shape Descriptor With Point Distribution Learning-
[pdf]
[bibtex]@InProceedings{Shi_2020_CVPR,
author = {Shi, Yi and Xu, Mengchen and Yuan, Shuaihang and Fang, Yi},
title = {Unsupervised Deep Shape Descriptor With Point Distribution Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Stylization-Based Architecture for Fast Deep Exemplar Colorization-
[pdf]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Zhongyou and Wang, Tingting and Fang, Faming and Sheng, Yun and Zhang, Guixu},
title = {Stylization-Based Architecture for Fast Deep Exemplar Colorization},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks-
[pdf]
[bibtex]@InProceedings{Choi_2020_CVPR,
author = {Choi, Sungha and Kim, Joanne T. and Choo, Jaegul},
title = {Cars Can't Fly Up in the Sky: Improving Urban-Scene Segmentation via Height-Driven Attention Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
State-Aware Tracker for Real-Time Video Object Segmentation-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Xi and Li, Zuoxin and Yuan, Ye and Yu, Gang and Shen, Jianxin and Qi, Donglian},
title = {State-Aware Tracker for Real-Time Video Object Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning-
[pdf]
[bibtex]@InProceedings{Liao_2020_CVPR,
author = {Liao, Xuan and Li, Wenhao and Xu, Qisen and Wang, Xiangfeng and Jin, Bo and Zhang, Xiaoyun and Wang, Yanfeng and Zhang, Ya},
title = {Iteratively-Refined Interactive 3D Medical Image Segmentation With Multi-Agent Reinforcement Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition-
[pdf]
[bibtex]@InProceedings{Bian_2020_CVPR,
author = {Bian, Song and Wang, Tianchen and Hiromoto, Masayuki and Shi, Yiyu and Sato, Takashi},
title = {ENSEI: Efficient Secure Inference via Frequency-Domain Homomorphic Convolution for Privacy-Preserving Visual Recognition},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Multi-Scale Interactive Network for Salient Object Detection-
[pdf]
[bibtex]@InProceedings{Pang_2020_CVPR,
author = {Pang, Youwei and Zhao, Xiaoqi and Zhang, Lihe and Lu, Huchuan},
title = {Multi-Scale Interactive Network for Salient Object Detection},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Interactive Multi-Label CNN Learning With Partial Labels-
[pdf]
[bibtex]@InProceedings{Huynh_2020_CVPR,
author = {Huynh, Dat and Elhamifar, Ehsan},
title = {Interactive Multi-Label CNN Learning With Partial Labels},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Siddiqui_2020_CVPR,
author = {Siddiqui, Yawar and Valentin, Julien and Niessner, Matthias},
title = {ViewAL: Active Learning With Viewpoint Entropy for Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Scene-Adaptive Video Frame Interpolation via Meta-Learning-
[pdf]
[bibtex]@InProceedings{Choi_2020_CVPR,
author = {Choi, Myungsub and Choi, Janghoon and Baik, Sungyong and Kim, Tae Hyun and Lee, Kyoung Mu},
title = {Scene-Adaptive Video Frame Interpolation via Meta-Learning},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation-
[pdf]
[bibtex]@InProceedings{Chen_2020_CVPR,
author = {Chen, Min-Hung and Li, Baopu and Bao, Yingze and AlRegib, Ghassan and Kira, Zsolt},
title = {Action Segmentation With Joint Self-Supervised Temporal Domain Adaptation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Pixel Consensus Voting for Panoptic Segmentation-
[pdf]
[bibtex]@InProceedings{Wang_2020_CVPR,
author = {Wang, Haochen and Luo, Ruotian and Maire, Michael and Shakhnarovich, Greg},
title = {Pixel Consensus Voting for Panoptic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Minimizing Discrete Total Curvature for Image Processing-
[pdf]
[bibtex]@InProceedings{Zhong_2020_CVPR,
author = {Zhong, Qiuxiang and Li, Yutong and Yang, Yijie and Duan, Yuping},
title = {Minimizing Discrete Total Curvature for Image Processing},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Towards Robust Image Classification Using Sequential Attention Models-
[pdf]
[bibtex]@InProceedings{Zoran_2020_CVPR,
author = {Zoran, Daniel and Chrzanowski, Mike and Huang, Po-Sen and Gowal, Sven and Mott, Alex and Kohli, Pushmeet},
title = {Towards Robust Image Classification Using Sequential Attention Models},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Discovering Synchronized Subsets of Sequences: A Large Scale Solution-
[pdf]
[bibtex]@InProceedings{Sariyanidi_2020_CVPR,
author = {Sariyanidi, Evangelos and Zampella, Casey J. and Bartley, Keith G. and Herrington, John D. and Satterthwaite, Theodore D. and Schultz, Robert T. and Tunc, Birkan},
title = {Discovering Synchronized Subsets of Sequences: A Large Scale Solution},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Going Deeper With Lean Point Networks-
[pdf]
[bibtex]@InProceedings{Le_2020_CVPR,
author = {Le, Eric-Tuan and Kokkinos, Iasonas and Mitra, Niloy J.},
title = {Going Deeper With Lean Point Networks},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment-
[pdf]
[bibtex]@InProceedings{Xiang_2020_CVPR,
author = {Xiang, Rui and Lai, Rongjie and Zhao, Hongkai},
title = {Efficient and Robust Shape Correspondence via Sparsity-Enforced Quadratic Assignment},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Explainable Object-Induced Action Decision for Autonomous Vehicles-
[pdf]
[bibtex]@InProceedings{Xu_2020_CVPR,
author = {Xu, Yiran and Yang, Xiaoyin and Gong, Lihang and Lin, Hsuan-Chu and Wu, Tz-Ying and Li, Yunsheng and Vasconcelos, Nuno},
title = {Explainable Object-Induced Action Decision for Autonomous Vehicles},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Spatially Attentive Output Layer for Image Classification-
[pdf]
[bibtex]@InProceedings{Kim_2020_CVPR,
author = {Kim, Ildoo and Baek, Woonhyuk and Kim, Sungwoong},
title = {Spatially Attentive Output Layer for Image Classification},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Attack to Explain Deep Representation-
[pdf]
[bibtex]@InProceedings{Jalwana_2020_CVPR,
author = {Jalwana, Mohammad A. A. K. and Akhtar, Naveed and Bennamoun, Mohammed and Mian, Ajmal},
title = {Attack to Explain Deep Representation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Computing Valid P-Values for Image Segmentation by Selective Inference-
[pdf]
[bibtex]@InProceedings{Tanizaki_2020_CVPR,
author = {Tanizaki, Kosuke and Hashimoto, Noriaki and Inatsu, Yu and Hontani, Hidekata and Takeuchi, Ichiro},
title = {Computing Valid P-Values for Image Segmentation by Selective Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Unsupervised Learning From Video With Deep Neural Embeddings-
[pdf]
[bibtex]@InProceedings{Zhuang_2020_CVPR,
author = {Zhuang, Chengxu and She, Tianwei and Andonian, Alex and Mark, Max Sobol and Yamins, Daniel},
title = {Unsupervised Learning From Video With Deep Neural Embeddings},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Partial Weight Adaptation for Robust DNN Inference-
[pdf]
[bibtex]@InProceedings{Xie_2020_CVPR,
author = {Xie, Xiufeng and Kim, Kyu-Han},
title = {Partial Weight Adaptation for Robust DNN Inference},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Probability Weighted Compact Feature for Domain Adaptive Retrieval-
[pdf]
[bibtex]@InProceedings{Huang_2020_CVPR,
author = {Huang, Fuxiang and Zhang, Lei and Yang, Yang and Zhou, Xichuan},
title = {Probability Weighted Compact Feature for Domain Adaptive Retrieval},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints-
[pdf]
[bibtex]@InProceedings{Strecke_2020_CVPR,
author = {Strecke, Michael and Stuckler, Jorg},
title = {Where Does It End? - Reasoning About Hidden Surfaces by Object Intersection Constraints},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yang and Zhou, Zixiang and David, Philip and Yue, Xiangyu and Xi, Zerong and Gong, Boqing and Foroosh, Hassan},
title = {PolarNet: An Improved Grid Representation for Online LiDAR Point Clouds Semantic Segmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation-
[pdf]
[bibtex]@InProceedings{Mahapatra_2020_CVPR,
author = {Mahapatra, Dwarikanath and Bozorgtabar, Behzad and Shao, Ling},
title = {Pathological Retinal Region Segmentation From OCT Images Using Geometric Relation Based Augmentation},
booktitle = {IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
month = {June},
year = {2020}
}
Transferring and Regularizing Prediction for Semantic Segmentation-
[pdf]
[bibtex]@InProceedings{Zhang_2020_CVPR,
author = {Zhang, Yiheng and Qiu, Zhaofan and Yao, Ting and Ngo, Chong-Wah and Liu, Dong and Mei, Tao},
title = {Transferring and Regularizing Prediction for Semantic Segmentation},