Reading List of CVPR 2019
posted on May 31, 2019

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Following are selected papers of CVPR 2019:

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• Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo: Edge-Labeling Graph Neural Network for Few-Shot Learning. CVPR 2019.
• Chenxi Liu, Liang-Chieh Chen, Florian Schroff, Hartwig Adam, Wei Hua, Alan L. Yuille, Li Fei-Fei: Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation. CVPR 2019.
• Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry S. Davis, Jan Kautz: STEP: Spatio-Temporal Progressive Learning for Video Action Detection. CVPR 2019.
• Ruohan Gao, Kristen Grauman: 2.5D Visual Sound. CVPR 2019.
• Lu Yang, Qing Song, Zhihui Wang, Ming Jiang: Parsing R-CNN for Instance-Level Human Analysis. CVPR 2019.
• Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Yan Shuicheng, Jiashi Feng, Yannis Kalantidis: Graph-Based Global Reasoning Networks, CVPR 2019.
• Vinod Kumar Kurmi, Shanu Kumar, Vinay P. Namboodiri: Attending to Discriminative Certainty for Domain Adaptation. CVPR 2019.
• Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei: Transferrable Prototypical Networks for Unsupervised Domain Adaptation. CVPR 2019.
• Xiang Xu, Xiong Zhou, Ragav Venkatesan, Gurumurthy Swaminathan, Orchid Majumder: d-SNE: Domain Adaptation Using Stochastic Neighborhood Embedding. CVPR 2019.
• Ziliang Chen, Jingyu Zhuang, Xiaodan Liang, Liang Lin: Blending-Target Domain Adaptation by Adversarial Meta-Adaptation Networks. CVPR 2019.
• Chaoqi Chen, Weiping Xie, Wenbing Huang, Yu Rong, Xinghao Ding, Yue Huang, Tingyang Xu, Junzhou Huang: Progressive Feature Alignment for Unsupervised Domain Adaptation, CVPR 2019.
• Jifei Song, Yongxin Yang, Yi-Zhe Song, Tao Xiang, Timothy M. Hospedales: Generalizable Person Re-Identification by Domain-Invariant Mapping Network. CVPR 2019.
• Xinge Zhu, Jiangmiao Pang, Ceyuan Yang, Jianping Shi, Dahua Lin: Adapting Object Detectors via Selective Cross-Domain Alignment. CVPR 2019.
• Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li: Bag of Tricks for Image Classification with Convolutional Neural Networks. CVPR 2019.
• Ziwei Wang, Jiwen Lu, Chenxin Tao, Jie Zhou, Qi Tian: Learning Channel-Wise Interactions for Binary Convolutional Neural Networks. CVPR 2019.
• Thibaut Durand, Nazanin Mehrasa, Greg Mori: Learning a Deep ConvNet for Multi-Label Classification With Partial Labels. CVPR 2019.
• Hao Guo, Kang Zheng, Xiaochuan Fan, Hongkai Yu, Song Wang: Visual Attention Consistency Under Image Transforms for Multi-Label Image Classification. CVPR 2019.
• Shifeng Zhang, Xiaobo Wang, Ajian Liu, Chenxu Zhao, Jun Wan, Sergio Escalera, Hailin Shi, Zezheng Wang, Stan Z. Li: A Dataset and Benchmark for Large-Scale Multi-Modal Face Anti-Spoofing. CVPR 2019.
• Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu: MVF-Net: Multi-View 3D Face Morphable Model Regression. CVPR 2019.
• Yuxiang Zhou, Jiankang Deng, Irene Kotsia, Stefanos Zafeiriou: Dense 3D Face Decoding Over 2500FPS: Joint Texture & Shape Convolutional Mesh Decoders. CVPR 2019.
• Wei Tang, Ying Wu: Does Learning Specific Features for Related Parts Help Human Pose Estimation? CVPR 2019.
• Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang: Linkage Based Face Clustering via Graph Convolution Network. CVPR 2019.
• Luan Tran, Feng Liu, Xiaoming Liu: Towards High-Fidelity Nonlinear 3D Face Morphable Model. CVPR 2019. :star:
• Wanhua Li, Jiwen Lu, Jianjiang Feng, Chunjing Xu, Jie Zhou, Qi Tian: BridgeNet: A Continuity-Aware Probabilistic Network for Age Estimation. CVPR 2019.
• Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou: GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction. CVPR 2019.
• Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li: Graph Convolutional Label Noise Cleaner: Train a Plug-And-Play Action Classifier for Anomaly Detection. CVPR 2019.
• Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai: Pluralistic Image Completion. CVPR 2019. :star:
• Wenguan Wang, Shuyang Zhao, Jianbing Shen, Steven C. H. Hoi, Ali Borji: Salient Object Detection With Pyramid Attention and Salient Edges. CVPR 2019.
• Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo: Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting. CVPR 2019.
• Miao Wang, Guo-Ye Yang, Ruilong Li, Run-Ze Liang, Song-Hai Zhang, Peter M. Hall, Shi-Min Hu: Example-Guided Style-Consistent Image Synthesis From Semantic Labeling. CVPR 2019.
• Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao: MirrorGAN: Learning Text-To-Image Generation by Redescription. CVPR 2019.
• Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang: Im2Pencil: Controllable Pencil Illustration From Photographs. CVPR 2019.
• Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun: Meta-SR: A Magnification-Arbitrary Network for Super-ResolutionXuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun. CVPR 2019.
• Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong: Blind Super-Resolution With Iterative Kernel Correction. CVPR 2019.
• Ruoteng Li, Loong-Fah Cheong, Robby T. Tan: Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning. CVPR 2019.
• Qi Xie, Minghao Zhou, Qian Zhao, Deyu Meng, Wangmeng Zuo, Zongben Xu: Multispectral and Hyperspectral Image Fusion by MS/HS Fusion Net. CVPR 2019.
• Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu: Camera Lens Super-Resolution. CVPR 2019.
• Kai Zhang, Wangmeng Zuo, Lei Zhang: Deep Plug-And-Play Super-Resolution for Arbitrary Blur Kernels. CVPR 2019.
• Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang: Toward Convolutional Blind Denoising of Real Photographs. CVPR 2019.
• Xiangyu Xu, Yongrui Ma, Wenxiu Sun: Towards Real Scene Super-Resolution With Raw Images. CVPR 2019.
• Xiangyu He, Zitao Mo, Peisong Wang, Yang Liu, Mingyuan Yang, Jian Cheng: ODE-Inspired Network Design for Single Image Super-Resolution. CVPR 2019.
• Yun-Chun Chen, Yen-Yu Lin, Ming-Hsuan Yang, Jia-Bin Huang: CrDoCo: Pixel-Level Domain Transfer With Cross-Domain Consistency. CVPR 2019.
• Alexander Kolesnikov, Xiaohua Zhai, Lucas Beyer: Revisiting Self-Supervised Visual Representation Learning. CVPR 2019.
• Aayush Bansal, Yaser Sheikh, Deva Ramanan: Shapes and Context: In-The-Wild Image Synthesis & Manipulation. CVPR 2019.
• Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu: Semantic Image Synthesis With Spatially-Adaptive Normalization. CVPR 2019.
• Sijie Song, Wei Zhang, Jiaying Liu, Tao Mei: Unsupervised Person Image Generation With Semantic Parsing Transformation. CVPR 2019.
• Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan: Multi-Channel Attention Selection GAN With Cascaded Semantic Guidance for Cross-View Image Translation. CVPR 2019.
• Huan Fu, Mingming Gong, Chaohui Wang, Kayhan Batmanghelich, Kun Zhang, Dacheng Tao: Geometry-Consistent Generative Adversarial Networks for One-Sided Unsupervised Domain Mapping. CVPR 2019.
• Jean-Baptiste Alayrac, Joao Carreira, Andrew Zisserman: The Visual Centrifuge: Model-Free Layered Video Representations. CVPR 2019.
• Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang: Taking a Closer Look at Domain Shift: Category-Level Adversaries for Semantics Consistent Domain Adaptation. CVPR 2019.
• Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Perez: ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation. CVPR 2019.
• Changqing Zhang, Yeqing Liu, Huazhu Fu: AE2-Nets: Autoencoder in Autoencoder Networks. CVPR 2019.
• Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, Michael I. Jordan: Universal Domain Adaptation. CVPR 2019.:star:
• Hong Liu, Zhangjie Cao, Mingsheng Long, Jianmin Wang, Qiang Yang: Separate to Adapt: Open Set Domain Adaptation via Progressive Separation. CVPR 2019.
• Jian Liang, Ran He, Zhenan Sun, Tieniu Tan: Distant Supervised Centroid Shift: A Simple and Efficient Approach to Visual Domain Adaptation. CVPR 2019. :star:
• Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang: Learning to Transfer Examples for Partial Domain Adaptation. CVPR 2019.
• Long Zhao, Xi Peng, Yu Tian, Mubbasir Kapadia, Dimitris N. Metaxas: Semantic Graph Convolutional Networks for 3D Human Pose Regression. CVPR 2019.
• Shuyang Gu, Jianmin Bao, Hao Yang, Dong Chen, Fang Wen, Lu Yuan: Mask-Guided Portrait Editing With Conditional GANs. CVPR 2019.
• Yong Zhang, Baoyuan Wu, Weiming Dong, Zhifeng Li, Wei Liu, Bao-Gang Hu, Qiang Ji: Joint Representation and Estimator Learning for Facial Action Unit Intensity Estimation. CVPR 2019. :star:
• Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil M. Robertson, Jinqiao Wang: Semantic Alignment: Finding Semantically Consistent Ground-Truth for Facial Landmark Detection. CVPR 2019.
• Meilu Zhu, Daming Shi, Mingjie Zheng, Muhammad Sadiq: Robust Facial Landmark Detection via Occlusion-Adaptive Deep Networks. CVPR 2019.
• Hao Wang, Dihong Gong, Zhifeng Li, Wei Liu: Decorrelated Adversarial Learning for Age-Invariant Face Recognition. CVPR 2019.
• Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, Qi Tian: Actional-Structural Graph Convolutional Networks for Skeleton-Based Action Recognition. CVPR 2019.
• Fangneng Zhan, Hongyuan Zhu, Shijian Lu: Spatial Fusion GAN for Image Synthesis. CVPR 2019.
• Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen: STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing. CVPR 2019.
• Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas S. Huang: Towards Instance-Level Image-To-Image Translation. CVPR 2019.
• Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu: Feedback Network for Image Super-Resolution. CVPR 2019.
• Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu: Deep Tree Learning for Zero-Shot Face Anti-Spoofing. CVPR 2019.
• Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan: Domain-Symmetric Networks for Adversarial Domain Adaptation. CVPR 2019.
• Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo: Multi-Label Image Recognition With Graph Convolutional Networks. CVPR 2019.
• Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler: Fast Interactive Object Annotation With Curve-GCN. CVPR 2019.
• Shuhan Tan, Jiening Jiao, Wei-Shi Zheng: Weakly Supervised Open-Set Domain Adaptation by Dual-Domain Collaboration. CVPR 2019.
• Yunsheng Li, Nuno Vasconcelos: Efficient Multi-Domain Learning by Covariance Normalization. CVPR 2019.
• Raviteja Vemulapalli, Aseem Agarwala: A Compact Embedding for Facial Expression Similarity . CVPR 2019.
• Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang: DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-To-Image Synthesis. CVPR 2019.
• Yedid Hoshen, Ke Li, Jitendra Malik: Non-Adversarial Image Synthesis With Generative Latent Nearest Neighbors. CVPR 2019.
• Fang Liu, Xiaoming Deng, Yu-Kun Lai, Yong-Jin Liu, Cuixia Ma, Hongan Wang: SketchGAN: Joint Sketch Completion and Recognition With Generative Adversarial Network. CVPR 2019.
• Wei Xiong, Jiahui Yu, Zhe Lin, Jimei Yang, Xin Lu, Connelly Barnes, Jiebo Luo: Foreground-Aware Image Inpainting. CVPR 2019.
• Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao: An Iterative and Cooperative Top-Down and Bottom-Up Inference Network for Salient Object Detection. CVPR 2019.
• Yajing Liu, Xinmei Tian, Ya Li, Zhiwei Xiong, Feng Wu: Compact Feature Learning for Multi-Domain Image Classification. CVPR 2019.
• Woong-Gi Chang, Tackgeun You, Seonguk Seo, Suha Kwak, Bohyung Han: Domain-Specific Batch Normalization for Unsupervised Domain Adaptation. CVPR 2019.
• Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik: Speech2Face: Learning the Face Behind a Voice. CVPR 2019.
• Hongwei Yi, Chen Li, Qiong Cao, Xiaoyong Shen, Sheng Li, Guoping Wang, Yu-Wing Tai: MMFace: A Multi-Metric Regression Network for Unconstrained Face Reconstruction. CVPR 2019.
• Rui Zhao, Wanru Xu, Hui Su, Qiang Ji: Bayesian Hierarchical Dynamic Model for Human Action Recognition. CVPR 2019.
• Soubhik Sanyal, Timo Bolkart, Haiwen Feng, Michael J. Black: Learning to Regress 3D Face Shape and Expression From an Image Without 3D Supervision. CVPR 2019.
• Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang: Listen to the Image. CVPR 2019.
• Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi: Image Super-Resolution by Neural Texture Transfer. CVPR 2019.
• Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li: Conditional Adversarial Generative Flow for Controllable Image Synthesis. CVPR 2019.
• Jae Woong Soh, Gu Yong Park, Junho Jo, Nam Ik Cho: Natural and Realistic Single Image Super-Resolution With Explicit Natural Manifold Discrimination. CVPR 2019.
• Wenbin Wang, Ruiping Wang, Shiguang Shan, Xilin Chen: Exploring Context and Visual Pattern of Relationship for Scene Graph Generation. CVPR 2019. :star:
• Xinhong Ma, Tianzhu Zhang, Changsheng Xu: GCAN: Graph Convolutional Adversarial Network for Unsupervised Domain Adaptation. CVPR 2019.
• Liyu Gong, Qiang Cheng: Exploiting Edge Features for Graph Neural Networks. CVPR 2019.
• Hang Xu, Chenhan Jiang, Xiaodan Liang, Zhenguo Li: Spatial-Aware Graph Relation Network for Large-Scale Object Detection. CVPR 2019.
• Subhankar Roy, Aliaksandr Siarohin, Enver Sangineto, Samuel Rota Bulo, Nicu Sebe, Elisa Ricci: Unsupervised Domain Adaptation Using Feature-Whitening and Consensus Loss. CVPR 2019.
• Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao: Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation. CVPR 2019.
• Zhenglin Geng, Chen Cao, Sergey Tulyakov: 3D Guided Fine-Grained Face Manipulation. CVPR 2019.
• Xiuyi Jia, Xiang Zheng, Weiwei Li, Changqing Zhang, Zechao Li: Facial Emotion Distribution Learning by Exploiting Low-Rank Label Correlations Locally. CVPR 2019.
• Yichen Qian, Weihong Deng, Jiani Hu: Unsupervised Face Normalization With Extreme Pose and Expression in the Wild. CVPR 2019.
• Ying-Cong Chen, Xiaohui Shen, Zhe Lin, Xin Lu, I-Ming Pao, Jiaya Jia: Semantic Component Decomposition for Face Attribute Manipulation. CVPR 2019.
• Si Wu, Guangchang Deng, Jichang Li, Rui Li, Zhiwen Yu, Hau-San Wong: Enhancing TripleGAN for Semi-Supervised Conditional Instance Synthesis and Classification. CVPR 2019.
• Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black: Capture, Learning, and Synthesis of 3D Speaking Styles. CVPR 2019. :star:
• Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht: Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation. CVPR 2019.
• Phillip E. Pope, Soheil Kolouri, Mohammad Rostami, Charles E. Martin, Heiko Hoffmann: Explainability Methods for Graph Convolutional Neural Networks. CVPR 2019.
• Yong Li, Jiabei Zeng, Shiguang Shan, Xilin Chen: Self-Supervised Representation Learning From Videos for Facial Action Unit Detection. CVPR 2019. :star:
• Stylianos Ploumpis, Haoyang Wang, Nick Pears, William A. P. Smith, Stefanos Zafeiriou: Combining 3D Morphable Models: A Large Scale Face-And-Head Model. CVPR 2019.
• Shuo Zhang, Youfang Lin, Hao Sheng: Residual Networks for Light Field Image Super-Resolution. CVPR 2019.
• Jingwen He, Chao Dong, Yu Qiao: Modulating Image Restoration With Continual Levels via Adaptive Feature Modification Layers. CVPR 2019.
• Tao Dai, Jianrui Cai, Yongbing Zhang, Shu-Tao Xia, Lei Zhang: Second-Order Attention Network for Single Image Super-Resolution. CVPR 2019.
• Yunfan Liu, Qi Li, Zhenan Sun: Attribute-Aware Face Aging With Wavelet-Based Generative Adversarial Networks. CVPR 2019.
• Xuesong Niu, Hu Han, Songfan Yang, Yan Huang, Shiguang Shan: Local Relationship Learning With Person-Specific Shape Regularization for Facial Action Unit Detection. CVPR 2019. :star:
• Zi-Hang Jiang, Qianyi Wu, Keyu Chen, Juyong Zhang: Disentangled Representation Learning for 3D Face Shape. CVPR 2019.
• Artur Grigorev, Artem Sevastopolsky, Alexander Vakhitov, Victor Lempitsky: Coordinate-Based Texture Inpainting for Pose-Guided Human Image Generation. CVPR 2019.
• Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo: Learning Parallax Attention for Stereo Image Super-Resolution. CVPR 2019.
• Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim: Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection. CVPR 2019.
• Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu: C3AE: Exploring the Limits of Compact Model for Age Estimation. CVPR 2019.