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2020年度论文【123篇】

数字视频编解码技术国家工程实验室

国际期刊(International Journal)


1. Lin Zhu, Xiurong Jiang, Jianing Li, Yuanhong Hao, and Yonghong Tian, Motion-aware Structured Matrix Factorization for Foreground Detection in Complex Scenes, ACM Transactions on Multimedia Computing, Communications, and Applications, vol.16, no.4, pp.1-23, Dec.2020

2. Yixiong Zou, Yemin Shi, Daochen Shi, Yaowei Wang, Yongsheng Liang and Yonghong Tian, Adaptation-Oriented Feature Projection for One-shot Action Recognition, IEEE Transactions on Multimedia, vol.22, no.12, pp.3166-3179, Dec.2020


3. Chuanmin Jia, Falei Luo, Xinfeng Zhang, Shiqi Wang, Shanshe Wang, Siwei Ma, Fast Non-Local Adaptive In-Loop Filter Optimization on GPU, IEEE Transactions on Multimedia, vol.23, pp.39-51, Dec.2020


4. Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li, Clearness of Operating Field: A Surrogate for Surgical Skills on In-Vivo Clinical Data, International Journal of Computer Assisted Radiology and Surgery, vol.15, no.11, pp.1817–1824, Nov.2020


5. Zhuo Chen, Kui Fan, Shiqi Wang, Lingyu Duan, Weisi Lin, Alex ChiChung Kot, Toward Intelligent Sensing: Intermediate Deep Feature Compression, IEEE Transactions on Image Processing, vol.29, pp.2230-2243, Sept.2020


6. Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Wang, Yizhou Yu, Exploring Task Structure for Brain Tumor Segmentation from Multi-Modality MR Images, IEEE Transactions on Image Processing, vol.29, pp.9032 - 9043, Sept.2020


7. Yunyao Yan, Guoqing Xiang, Yuan Li, Xiaodong Xie, Huizhu Jia, An Adaptive Spatio-Temporal Perception Aware Quantization Algorithm for AVS2, Journal of Visual Communication and Image Representation, vol.73, Sept.2020


8. Xiaobin Liu, Shiliang Zhang, Xiaoyu Wang, Richang Hong, and Qi Tian, Group-Group Loss-Based Global-Regional Feature Learning for Vehicle Re-Identification, IEEE Trans. on Image Processing, vol.29, pp.2638-2652, Aug.2020


9. Lingyu Duan, Jiaying Liu, Wenhan Yang, Tiejun Huang, Wen Gao, Video Coding for Machines: A Paradigm of Collaborative Compression and Intelligent Analytics, IEEE Transactions on Image Processing, vol.29, pp.8680-8695, Aug.2020


10. Diqi Chen, Yizhou Wang, Wen Gao, Combining a gradient-based method and an evolution strategy for multi-objective reinforcement learning, Applied Intelligence, vol.50, pp.3301–3317, Jun.2020


11. Siwei Ma, Xinfeng Zhang, Chuanmin Jia, Zhenghui Zhao, Shiqi Wang, Shanshe Wang, Image and Video Compression with Neural Networks: A Review, IEEE Transactions on Circuits and Systems for Video Technology, vol.30, no.6, pp.1683-1698, Jun.2020


12. Kui Fu, Jia Li, Yu Zhang, Hongze Shen, and Yonghong Tian, Model-guided Multi-path Knowledge Aggregation for Aerial Saliency Prediction, IEEE Transactions on Image Processing, vol.29, pp.7117-7127, Jun.2020


13. Junru Li, Meng Wang, Li Zhang, Kai Zhang, Hongbin Liu, Shiqi Wang, Siwei Ma, Wen Gao, Unified Intra Mode Coding Based on Short and Long Range Correlations, IEEE Transactions on Image Processing, vol.29, pp.7245-7260, Jun.2020


14. Wenhan Luo, Peng Sun, Fangwei Zhong, Tong Zhang, Yizhou Wang, End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.42, no.6, pp.1317 - 1332, Jun.2020


15. Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, Ah-Hwee Tan, Alex C. Kot, CoRRN: Cooperative Reflection Removal Network, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.42, no.12, pp.2969-2982, Jun.2020


16. Yajing Zheng, Shanshan Jia, Zhaofei Yu, Tiejun Huang, Jian K. Liu, Yonghong Tian, Probabilistic Inference of Binary Markov Random Fields in Spiking Neural Networks through Mean-field Approximation, Neural Networks, vol.126, pp.42-51, Jun.2020


17. Xiaobin Liu, Shiliang Zhang, Tiejun Huang, and Qi Tian., E2BoWs: an end-to-end bag-of-words model via deep convolutional neural network for image retrieval, Neurocomputing, vol.395, pp.188-198, Jun.2020


18. Diqi Chen, Yizhou Wang, Wen Gao, No-Reference Image Quality Assessment: An Attention Driven Approach, IEEE Transactions on Image Processing, vol.29, pp.6496 - 6506, May 2020


19. Yichen Zhang, Shanshan Jia, Yajing Zheng, Zhaofei Yu, Yonghong Tian, Siwei Ma, Tiejun Huang, Jian K. Liu, Reconstruction of Natural Visual Scenes from Neural Spikes with Deep Neural Networks, Neural Networks, vol.125, pp.19-30, May 2020


20. Zhaofei Yu, Jian K. Liu, Shanshan Jia, Yichen Zhang, Yajing Zheng, Yonghong Tian, Tiejun Huang, Towards the Next Generation of Retinal Neuroprosthesis: Visual Computation with Spikes, Engineering, vol.6, no.4, pp.449-461, Apr.2020


21. Yu Shu, Yemin Shi, Yaowei Wang, Tiejun Huang, Yonghong Tian, P-ODN: Prototype-based Open Deep Network for Open Set Recognition, Scientific Reports, vol.10, no.1, pp.7146, Apr.2020


22. Jianming Ye, Shiliang Zhang, Tiejun Huang, and Yong Rui, CDbin: Compact Discriminative Binary Descriptor Learned with Efficient Neural Network, IEEE Transactions on Circuits and Systems for Video Technology, vol.30, no.3, pp.862-874, Mar.2020


23. Huijing Zhan, Chenyu Yi, Boxin Shi, Jie Lin, Ling-Yu Duan, and Alex C. Kot, Pose-normalized and appearance-preserved street-to-shop clothing image generation and feature learning, IEEE Transactions on Multimedia, vol.23, no.1, pp.133-144, Mar.2020


24. Jiguo Li, Xinfeng Zhang, Chuanmin Jia, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao, Direct Speech-to-Image Translation, IEEE Journal of Selected Topics in Signal Processing, vol.14, no.3, pp.517-529, Mar.2020


25. Jianing Li, Shiliang Zhang, and Tiejun Huang, Multi-scale Temporal Cues Learning for Video Person Re-Identification, IEEE Transactions on Image Processing, vol.29, pp.4461-4473, Feb.2020


26. Zongqing Lu, Kevin Chan, Rahul Urgaonkar, Shiliang Pu, Thomas La Porta, NetVision: On-Demand Video Processing in Wireless Networks, IEEE/ACM Transactions on Networking, vol.28, no.1, pp.196-209, Feb.2020


27. Yanbo Fan, Shuchen Weng, Yong Zhang, Boxin Shi, and Yi Zhang, Context-aware cross-attention for skeleton-based human action recognition, IEEE Access, vol.8, pp.15280-15290, Jan.2020


28. Anjie Wang, Zhijun Fang, Yongbin Gao, Songchao Tan, Shanshe Wang, Siwei Ma, Jenq-Neng Hwang, Adversarial Learning for Joint Optimization of Depth and Ego-Motion, IEEE Transactions on Image Processing, vol.29, pp.4130-4142, Jan.2020


29. Lin Ding, Yonghong Tian, Hongfei Fan, Changhuai Chen, and Tiejun Huang, Joint Coding of Local and Global Deep Features in Videos for Visual Search, IEEE Transactions on Image Processing, vol.29, pp.3734-3749, Jan.2020


30. Min Li, Zhenglong Zhou, Zhe Wu, Boxin Shi, Changyu Diao, and Ping Tan, Multi-view photometric stereo: A robust solution and benchmark dataset for spatially varying isotropic materials, IEEE Transactions on Image Processing, vol.29, no.1, pp.4159- 4173, Jan.2020


31. Yihang Lou, Ling-Yu Duan, Yong Luo, Ziqian Chen, Tongliang Liu, Shiqi Wang, Wen Gao, Towards Efficient Front-End Visual Sensing for Digital Retina: A Model-Centric Paradigm, IEEE Transactions on Multimedia, vol.22, no.11, pp.3002-3013, Jan.2020


32. Jun Liu, Amir Shahroudy, Gang Wang, Ling-Yu Duan, Alex C. Kot, Skeleton-Based Online Action Prediction Using Scale Selection Network, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.42, no.6, pp.1453-1467, Jan.2020


33. Jun Liu, Henghui Ding, Amir Shahroudy, Ling-Yu Duan, Xudong Jiang, Gang Wang, Alex C. Kot, Feature Boosting Network For 3D Pose Estimation, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.42, no.2, pp.494-501, Jan.2020


34. Jun Liu, Amir Shahroudy, Mauricio Perez, Gang Wang, Ling-Yu Duan, Alex C. Kot, NTU RGB+D 120: A Large-Scale Benchmark for 3D Human Activity Understanding, IEEE Transactions on Pattern Analysis and Machine Intelligence, vol.42, no.10, pp.2684-2701, Jan.2020

国际会议(International Conference)


35. Guangyao Chen, Limeng Qiao, Yemin Shi, Peixi Peng, Jia Li, Tiejun Huang, Shiliang Pu, Yonghong Tian, Learning Open Set Network with Discriminative Reciprocal Points, in Proceedings of 14th European Conference on Computer Vision, Glasgow, Scotland, UK, pp.507-522, Dec.2020

36. Yunpeng Zhai, Qixiang Ye, Shijian Lu, Mengxi Jia, Rongrong Ji, Yonghong Tian, Multiple Expert Brainstorming for Domain Adaptive Person Re-identification, in Proceedings of 14th European Conference on Computer Vision, Glasgow, Scotland, UK, pp.594-611, Dec.2020


37. Qi Zhang, Shanshe Wang, Siwei Ma, A Novel Visual Analysis Oriented Rate Control Scheme for HEVC, in Proceedings of 2020 IEEE International Conference on Visual Communications and Image Processing, Macau, China, Dec.2020


38. Jing Xu, Fangwei Zhong, Yizhou Wang, Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks, in Proceedings of The Thirty-fourth Conference on Neural Information Processing Systems, Montreal, Canada, Dec.2020


39. Zhuokun Yao, Kun Li, Ying Fu, Haofeng Hu, and Boxin Shi, GPS-Net: Graph-based photometric stereo network, in Proceedings of Thirty-fourth Conference on Neural Information Processing Systems, Vancouver, Canada, Dec.2020


40. Chu Zhou, Hang Zhao, Jin Han, Chang Xu, Chao Xu, Tiejun Huang, and Boxin Shi, UnModNet: Learning to unwrap a modulo image for high dynamic range imaging, in Proceedings of Thirty-fourth Conference on Neural Information Processing Systems, Vancouver, Canada, Dec.2020


41. Xu Liu, Chengtao Li, Jian Wang, Jingbo Wang, Boxin Shi, and Xiaodong He, Group contextual encoding for 3D point clouds, in Proceedings of Thirty-fourth Conference on Neural Information Processing Systems, Vancouver, Canada, Dec.2020


42. Xu Liu, Jiayan Cao, Qianqian Bi, Jian Wang, Boxin Shi, and Yichen Wei, Dense point diffusion for 3D object detection, in Proceedings of International Conference on 3D Vision, Fukuoka, Japan, Nov.2020


43. Lingbo Yang, Chang Liu, Pan Wang, Shanshe Wang, Peiran Ren, Siwei Ma, Wen Gao, HiFaceGAN: Face Renovation via Collaborative Suppression and Replenishment, in Proceedings of 2020 ACM Multimedia, Seattle,USA, pp.1551-1560, Oct.2020


44. Xu Han, Shanshe Wang, Siwei Ma, Wen Gao, Optimization Of Motion Compensation Based On GPU And CPU For VVC Decoding, in Proceedings of 2020 IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates, pp.1196-1200, Oct.2020


45. Meng Lei, Falei Luo, Xinfeng Zhang, Shanshe Wang, Siwei Ma, Two-step Progressive Intra Prediction for Versatile Video Coding, in Proceedings of 2020 IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates, pp.1137-1141, Oct.2020


46. Yunlong Li, Shanshe Wang, Xinfeng Zhang, Chao Zhou, Siwei Ma, High Efficiency Live Video Streaming with Frame Dropping, in Proceedings of 2020 IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates, pp.1226-1230, Oct.2020


47. Yunhe Tong, Anjie Wang, Songchao Tan, Shanshe Wang, Siwei Ma, Wen Gao, Self-Supervised Learning of Depth and Pose Using Cycle Generative Adversarial Network, in Proceedings of 2020 IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates, pp.738-742, Oct.2020


48. Xiaobin Liu and Shiliang Zhang, Domain Adaptive Person Re-Identification via Coupling Optimization, in Proceedings of ACM International Conference on Multmedia, Seattle, USA, Oct.2020


49. Meng Wang, Shiqi Wang, Junru Li, Li Zhang, Yue Wang and Siwei Ma, SSIM Motivated Quality Control for Versatile Video Coding, in Proceedings of IEEE Asia-Pacific Signal and Information Processing Association, Auckland, New Zealand, Oct.2020


50. Zihao Liu, Ruiqin Xiong and Tingting Jiang, Clinical-Inspired Network for Skin Lesion Recognition, In Proceedings of International Conference On Medical Image Computing and Computer Assisted Intervention, Virtual, Oct.2020


51. Zihao Liu, Haihao Pan, Chen Gong, Zejia Fan, Yujie Wen, Tingting Jiang, Ruiqin Xiong, Hang Li, and Yang Wang, Multi-class Skin Lesion Segmentation for Cutaneous T-cell Lymphomas on High-Resolution Clinical Images, In Proceedings of International Conference On Medical Image Computing and Computer Assisted Intervention, Virtual, Oct.2020


52. Qiuyue Liu, Feng Liu, Zhen Zhou, Xiangming Fang, Yizhou Yu, Yizhou Wang, Multi-stream Progressive Up-sampling Network for Dense CT Image Reconstruction, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Interventions, Lima, Peru, Oct.2020


53. Shu Zhang, Jincheng Xu, Yu Chu Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu, Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection on CT Slices, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Interventions, Lima, Peru, Oct.2020


54. Ping Gong, Zihao Yin, Yizhou Wang, Yizhou Yu, Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Interventions, Lima, Peru, Oct.2020


55. Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li, Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Interventions, Lima, Peru, Oct.2020


56. Shen Wang, Kongming Liang, Yizhou Yu, Yizhou Wang, Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Interventions, Lima, Peru, Oct.2020


57. Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang, BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification, in Proceedings of International Conference on Medical Image Computing and Computer Assisted Interventions, Lima, Peru, Oct.2020


58. Daochang Liu*, Yuhui Wei*, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, and Ziyu Li, Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion, In Proceedings of Medical Image Computing and Computer Assisted Intervention, Virtual, Oct.2020


59. Mengyue Geng, Peixi Peng, Yangru Huang, Yonghong Tian, Masked Face Recognition with Generative Data Augmentation and Domain Constrained Ranking, in Proceedings of the 28th ACM International Conference on Multimedia, Seattle, USA, pp.2246-2254, Oct.2020


60. Peixi Peng, Yonghong Tian, Yangru Huang, Xiangqian Wang, Huilong An, Discriminative Spatial Feature Learning for Person Re-Identification, in Proceedings of the 28th ACM International Conference on Multimedia, Seattle, USA, pp.1524-1532, Oct.2020


61. Zeyuan Wang, Yifan Zhao, Jia Li, Yonghong Tian, Cooperative Bi-path Metric for Few-shot Learning, in Proceedings of the 28th ACM International Conference on Multimedia, Seattle, USA, pp.1524-1532, Oct.2020


62. Dingquan Li, Tingting Jiang, and Ming Jiang, Norm-in-Norm Loss with Faster Convergence and Better Performance for Image Quality Assessment, In Proceedings of the 28th ACM International Conference on Multimedia, Virtual, Oct.2020


63. Feifei Ding, Peixi Peng, Yangru Huang, Mengyue Geng, Yonghong Tian, Masked Face Recognition with Latent Part Detection, in Proceedings of the 28th ACM International Conference on Multimedia, Seattle, USA, pp.2281-2289, Oct.2020


64. Yixiong Zou, Shanghang Zhang, Ke Chen, Yonghong Tian, Yaowei Wang, José M. F. Moura, Compositional Few-Shot Recognition with Primitive Discovery and Enhancing, in Proceedings of the 28th ACM International Conference on Multimedia, Seattle, USA, pp.274–283, Oct.2020


65. Yang Li, Shengbin Meng, Xinfeng Zhang, Shiqi Wang, Yue Wang, Siwei Ma, UGC-VIDEO: perceptual quality assessment of user-generated videos, in Proceedings of 2020 IEEE International Conference on Multimedia Information Processing and Retrieval, Shenzhen, China, pp.35-38, Aug.2020


66. Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang, TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning, in Proceedings of European Conference in Computer Vision, Glasgow, Uk, Aug.2020


67. Jianing Li and Shiliang Zhang, Joint Visual and Temporal Consistency for Unsupervised Domain Adaptive Person Re-Identification, in Proceedings of European Conference on Computer Vision, Glasgow, United Kingdom, Aug.2020


68. Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, and Boxin Shi, Conditional image repainting via semantic bridge and piecewise value function, in Proceedings of European Conference on Computer Vision, Glasgow, UK, Aug.2020


69. Guanying Chen, Michael Waechter, Boxin Shi, Kwan-Yee Kenneth Wong, and Yasuyuki Matsushita, What is learned in deep uncalibrated photometric stereo?, in Proceedings of European Conference on Computer Vision, Glasgow, UK, Aug.2020


70. Yunhao Ba, Alex Ross Gilbert, Franklin Wang, Jinfa Yang, Rui Chen, Yiqin Wang, Lei Yan, Boxin Shi, and Achuta Kadambi, Deep shape from polarization, in Proceedings of European Conference on Computer Vision, Glasgow, UK, Aug.2020


71. Bin He, Ce Wang, Boxin Shi, Ling-Yu Duan, FHDe2Net: Full High Definition Demoireing Network, in Proceedings of Europeon Conference on Computer Vision, Glasgow, UK, pp.713-729, Aug.2020


72. Meihan Liu, Yongxing Dai, Shengsen Wu, Yan Bai, Ling-Yu Duan, Extending Hashing Towards Fast Re-Identification, in Proceedings of IEEE International Conference on Image Processing, Abu Dhabi, United Arab Emirates, pp.1551-1555, Aug.2020


73. Yunyao Yan, Guoqing Xiang, Yuan Li, Xiaodong Xie, Wei Yan, Yungang Bao, Spatiotemporal Perception Aware Quantization Algorithm for Video Coding, in Proceedings of IEEE International Conference on Multimedia & Expo, London, UK, Aug.2020


74. Yuhuai Zhang, Kai Zhang, Li Zhang, Hongbin Liu, Yue Wang,Shanshe Wang, Siwei Ma, Wen Gao, Implicit-Selected Transform in Video Coding, in Proceedings of 2020 IEEE International Conference on Multimedia Expo Workshop, London, United Kingdom, Jul.2020


75. Xu Han, Bo Jiang, Shanshe Wang, Lin Li, Yi Su, Siwei Ma, Wen Gao, GPU based Real-time UHD Intra Decoding for AVS3, in Proceedings of 2020 IEEE International Conference on Multimedia Expo Workshop, London, United Kingdom, Jul.2020


76. Jiaqi Zhang, Xuewei Meng, Chuanmin Jia, Yi Su, Song Xu, Shanshe Wang, Siwei Ma, Wen Gao, Inheritability-Inspired Intra Coding Optimization for AVS3, in Proceedings of 2020 IEEE International Conference on Multimedia Expo Workshop, London, United Kingdom, Jul.2020


77. Tianliang Fu, Kai Zhang, Hongbin Liu, Li Zhang, Shanshe Wang, Siwei Ma, Wen Gao, Affine Directskip Mode with Motion Vector Differences in Video Coding, in Proceedings of 2020 IEEE International Conference on Multimedia Expo Workshop, London, United Kingdom, Jul.2020


78. Huiwen Ren, Bo Jiang, Falei Luo, Jing Li, Yong Chen, Shanshe Wang, Siwei Ma, Wen Gao, A Real-Time AVS3 8K-UHD Encoding and Decoding System, in Proceedings of 2020 IEEE International Conference on Multimedia Expo Workshop, London, United Kingdom, Jul.2020


79. Junru Li, Li Zhang, Kai Zhang, Hongbin Liu, Meng Wang, Shiqi Wang, Siwei Ma, Wen Gao, Prediction with Multi-Cross Component, in Proceedings of IEEE International Conference on Multimedia and Expo Workshops, London, United Kingdom, Jul.2020


80. Yan Bai, Yihang Lou, Yongxing Dai, Jun Liu, Ziqian Chen, Ling-Yu Duan, Disentangled Feature Learning Network for Vehicle Re-Identification, in Proceedings of International Joint Conference on Artificial Intelligence, Yokohama, Japan, pp.474-480, Jul.2020


81. Yingji Zhong, Xiaoyu Wang, and Shiliang Zhang, Robust Partial Matching for Person Search in the Wild, in Proceedings of Computer Vision and Pattern Recognition, Seattle, USA, Jun.2020


82. Dongkai Wang and Shiliang Zhang, Unsupervised Person Re-identification via Multi-label Classification, in Proceedings of Computer Vision and Pattern Recognition, Seattle, USA, Jun.2020


83. Shaohui Liu, Yinda Zhang, Songyou Peng, Boxin Shi, Marc Pollefeys, and Zhaopeng Cui, DIST: Rendering deep implicit signed distance function with differentiable sphere tracing, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


84. Xu Cao, Michael Waechter, Boxin Shi, Ye Gao, Bo Zheng, and Yasuyuki Matsushita, Stereoscopic flash and no-flash photography for shape and albedo recovery, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


85. Zhaohui Yang, Yunhe Wang, Xinghao Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, and Chang Xu, CARS: Continuous evolution for efficient neural architecture search, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


86. Rongchang Xie, Chunyu Wang, Yizhou Wang, MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, USA, Jun.2020


87. Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu, Cross-view Correspondence Reasoning based on Bipartite Graph Convolutional Network for Mammogram Mass Detection, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, USA, Jun.2020


88. Yehui Tang, Yunhe Wang, Yixing Xu, Hanting Chen, Boxin Shi, Chao Xu, Chunjing Xu, Qi Tian, and Chang Xu, A semi-supervised assessor of neural architectures, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


89. Zihao W. Wang, Peiqi Duan, Oliver Cossairt, Aggelos Katsaggelos, Tiejun Huang, and Boxin Shi, Joint filtering of intensity images and neuromorphic events for high-resolution noise-robust imaging, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


90. Hanting Chen, Yunhe Wang, Han Shu, Yehui Tang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu, Frequency domain compact 3D convolutional neural networks, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


91. Tianyu Guo, Chang Xu, Jiajun Huang, Yunhe Wang, Boxin Shi, Chao Xu, and Dacheng Tao, On positive-unlabeled classification in GAN, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


92. Shuchen Weng, Wenbo Li, Dawei Li, Hongxia Jin, and Boxin Shi, MISC: Multi-condition injection and spatially-adaptive compositing for conditional person rendering, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


93. Renjie Wan, Boxin Shi, Haoliang Li, Ling-Yu Duan, and Alex C. Kot, Reflection scene separation from a single image, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


94. Hanting Chen, Yunhe Wang, Chunjing Xu, Boxin Shi, Chao Xu, Qi Tian, and Chang Xu, AdderNet: Do we really need multiplications in deep learning?, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


95. Qian Zheng, Jinnan Chen, Zhan Lu, Boxin Shi, Xudong Jiang, Kim-Hui Yap, Ling-Yu Duan, and Alex C. Kot, What does plate glass reveal about camera calibration?, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


96. Jin Han, Chu Zhou, Peiqi Duan, Yehui Tang, Chang Xu, Chao Xu, Tiejun Huang, and Boxin Shi, Neuromorphic camera guided high dynamic range imaging, in Proceedings of IEEE Conference on Computer Vision and Pattern Recognition, Seattle, WA, USA, Jun.2020


97. Yuchen Hong, Youwei Lyu, Si Li, and Boxin Shi, Near-infrared image guided reflection removal, in Proceedings of IEEE International Conference on Multimedia & Expo, London, UK, Jun.2020


98. Ziwei Zhang, Chi Su, Liang Zheng, Xiaodong Xie, Correlating edge, pose with parsing, in Proceedings of IEEE/CVF Conference on Computer Vision and Pattern Recognition, Virtual, USA, Jun.2020


99. Xiawu Zheng, Rongrong Ji, Qiang Wang, Qixiang Ye, Zhenguo Li, Yonghong Tian, Qi Tian, Rethinking Performance Estimation in Neural Architecture Search, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, USA, pp.11356-11365, Jun.2020


100. Lin Zhu, Siwei Dong, Jianing Li, Tiejun Huang, Yonghong Tian, Retina-like Visual Image Reconstruction via Spiking Neural Model, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, USA, pp.1438-1446, Jun.2020


101. Mingbao Lin, Rongrong Ji, Yan Wang, Yichen Zhang, Baochang Zhang, Yonghong Tian, Ling Shao, HRank: Filter Pruning using High-Rank Feature Map, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, USA, pp.1529-1538, Jun.2020


102. Yunpeng Zhai, Shijian Lu, Qixiang Ye, Xuebo Shan, Jie Chen, Rongrong Ji, Yonghong Tian, AD-Cluster: Augmented Discriminative Clustering for Domain Adaptive Person Re-identification, in Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, Seattle, USA, pp.9021-9030, Jun.2020


103. Meng Wang, Junru Li, Li Zhang, Hongbin Liu, Jizheng Xu, Shiqi Wang, Revisiting Local Texture Correlation for Rate-Distortion Optimized Intra Coding, in Proceedings of IEEE Data Compression Conference, Snowbird, UT, USA, pp.273-282, May 2020


104. Junru Li, Meng Wang, Li Zhang, Kai Zhang, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao, Sub-Sampled Cross-Component Prediction for Chroma Component Coding, in Proceedings of IEEE Data Compression Conference, Snowbird, UT, USA, pp.203-212, May 2020


105. Yi Hou, Chengyang Li, Fan Yang, Cong Ma, Liping Zhu, Yuan Li, Huizhu Jia, Xiaodong Xie, BBA-NET: A Bi-Branch Attention Network for Crowd Counting, in Proceedings of International Conference on Acoustics, Speech, and Signal Processing, Barcelona, Spain, May 2020


106. Meihan Liu, Yongxing Dai, Yan Bai, Ling-Yu Duan, Deep Product Quantization Module for Efficient Image Retrieval, in Proceedings of International Conference on Acoustics, Speech and Signal Processing, Barcelona, Spain, pp.4382-4386, Apr.2020


107. Zhaoyi Yan, Yemin Shi, Yaowei Wang, Mingkui Tan, Zheyang Li, Wenming Tan, Yonghong Tian, Towards Accurate Low Bit-width Quantization with Multiple Phase Adaptations, in Proceedings of the AAAI Conference on Artificial Intelligence, New York, USA, vol.34, no.4, pp.6591-6598, Apr.2020


108. Jing Cui, Tao Zhang, Chenchen Gu, Xinfeng Zhang, Siwei Ma, Gradient-Based Early Termination of CU Partition in VVC Intra Coding, in Proceedings of 2020 Data Compression Conference, Snowbird, UT, USA, pp.103-112, Mar.2020


109. Jiguo Li, Xinfeng Zhang, Chuanmin Jia, Jizheng Xu, Li Zhang, Yue Wang, Siwei Ma, Wen Gao, Universal Adversarial Perturbations Generative Network For Speaker Recognition, in Proceedings of 2020 IEEE International Conference on Multimedia Expo, London, United Kingdom, pp.1-6, Mar.2020


110. Xuewei Meng, Xinfeng Zhang, Chuanmin Jia, Shanshe Wang, Siwei Ma, Edge-Directed Geometric Partitioning For Versatile Video Coding, in Proceedings of 2020 IEEE International Conference on Multimedia Expo, London, United Kingdom, pp.1-6, Mar.2020


111. Lingbo Yang, Pan Wang, Xinfeng Zhang, Shanshe Wang, Zhanning Gao, Peiran Ren, Xuansong Xie, Siwei Ma, Wen Gao, Region-Adaptive Texture Enhancement For Detailed Person Image Synthesis, in Proceedings of 2020 IEEE International Conference on Multimedia Expo, London, United Kingdom, pp.1-6, Mar.2020


112.  Jiahe Li, Xu Gao, Tingting Jiang, Graph Networks for Multiple Object Tracking, In Proceedings of Winter Conference on Applications of Computer Vision, Snowmass,USA, Mar.2020


113. Sheng Li, Tingting Jiang, Tiejun Huang, Yonghong Tian, Global Co-occurrence Feature Learning and Active Coordinate System Conversion for Skeleton-based Action Recognition, In Proceedings of Winter Conference on Applications of Computer Vision, Snowmass,USA, Mar.2020


114. Yehui Tang, Yunhe Wang, Yixing Xu, Boxin Shi, Chao Xu, Chunjing Xu, and Chang Xu, Beyond dropout: Feature map distortion to regularize deep neural networks, in Proceedings of AAAI Conference on Artificial Intelligence, New York City, NY, USA, Feb.2020


115. Xu Qin,Zhilin Wang,Yuanchao Bai,Xiaodong Xie,Huizhu Jia, FFA-Net: Feature Fusion Attention Network for Single Image Dehazing, in Proceedings of AAAI Conference on Artificial Intelligence, New York, USA, Feb.2020


116. Hanting Chen, Yunhe Wang, Han Shu, Changyuan Wen, Chunjing Xu, Boxin Shi, Chao Xu, and Chang Xu, Distilling portable generative adversarial networks for image translation, in Proceedings of AAAI Conference on Artificial Intelligence, New York City, NY, USA, Feb.2020


117. Yehui Tang, Shan You, Chang Xu, Jin Han, Chen Qian, Boxin Shi, Chao Xu, and Changshui Zhang, Reborn filters: Pruning convolutional neural networks with limited data, in Proceedings of AAAI Conference on Artificial Intelligence, New York City, NY, USA, Feb.2020


118. Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang, Pose-Assisted Multi-Camera Collaboration for Active Object Tracking, in Proceedings of The Thirty-Fourth AAAI Conference on Artificial Intelligence, New York, USA, Feb.2020


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国内会议 (Chinese Conference)