+86 (0)10 6276-0759
yizhou.wang
静园五院202-2
计算机视觉、认知计算、医学图像分析、计算艺术Bio-Sketch
Yizhou Wang, Endowed Boya Professor, Vice Director of CFCS at Peking University, NSFC Distinguished Young Scholars. He received his Bachelor's degree in Electrical Engineering from Tsinghua University in 1996, and his Ph.D. in Computer Science from University of California at Los Angeles (UCLA) in 2005. He joined Xerox Palo Alto Research Center (Xerox PARC) as a research staff from 2005 to 2007. Dr. Wang has published over 200 papers and obtained a number of best paper awards. His research interests include computational vision, cognitive computing, medical image analysis, and computational arts.
Selected Publications
2024
1. Human Motion Generation: A Survey
Wentao Zhu, Xiaoxuan Ma, Dongyou Lu, Hai Ci, Jinlu Zhang, Jiaxin Shi, Feng Gao, Qi Tian, Yizhou Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 46 (4), pp 2430-2449, 2024. [PDF]
2. The Tong Test: Evaluating Artificial General Intelligence Through Dynamic Embodied Physical and Social Interactions
Yujia Peng, Jiaheng Han, Zhenliang Zhang, Lifeng Fan, Tengyu Liu, Siyuan Qi, Xue Feng, Yuxi Ma, Yizhou Wang, Song-Chun Zhu
Engineering, vol. 34(3), pp 12-22, 2024. [PDF]
3. Richelieu: Self-Evolving LLM-Based Agents for AI Diplomacy
Zhenyu Guan, Xiangyu Kong, Fangwei Zhong, Yizhou Wang
The Thirty-eighth Annual Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Dec. 9-15, 2024. [PDF]
4. CLoG: Benchmarking Continual Learning of Image Generation Models, to Continual FoMo
Haotian Zhang, Junting Zhou, Haowei Lin, Hang Ye, Jianhua Zhu, Zihao Wang, Liangcai Gao, Yizhou Wang, Yitao Liang
NeurIPS 2024 Workshop on Scalable Continual Learning for Lifelong Foundation Models (NeurIPSW), Vancouver, Dec. 9-15, 2024. [PDF]
5. ScissorBot: Learning Generalizable Scissor Skill for Paper Cutting via Simulation, Imitation, and Sim2Real
Jiangran Lv, Yuxing Chen, Tao Du, Feng Zhu, Huiquan Liu, Yizhou Wang, He Wang
Conference on Robot Learning (CoRL), Munich, Nov. 6-9, 2024. [PDF]
6. Real-time Holistic Robot Pose Estimation with Unknown States
Shikun Ban, Juling Fan, Wentao Zhu, Xiaoxuan Ma, Yu Qiao, Yizhou Wang
European Conference on Computer Vision (ECCV), Milan, Sept. 29- Oct. 4, 2024. [PDF]
7. ScoreHypo: Probabilistic Human Mesh Estimation with Hypothesis Scoring
Yuan Xu, Xiaoxuan Ma, Jiajun Su, Wentao Zhu, Yu Qiao, Yizhou Wang
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, Jun. 17 - 21, 2024. [PDF]
8. Language Models Represent Beliefs of Self and Others
Wentao Zhu, Zhining Zhang, Yizhou Wang
Forty-first International Conference on Machine Learning (ICML), Vienna, Jul. 21-27, 2024. [PDF]
9. Causal Discovery via Conditional Independence Testing with Proxy Variables
Mingzhou Liu, Xinwei Sun, Yu Qiao, Yizhou Wang
Forty-first International Conference on Machine Learning (ICML), Vienna, Jul. 21-27, 2024. [PDF]
10. Fast Peer Adaptation with Context-aware Exploration
Long Ma, Yuanfei Wang, Fangwei Zhong, Song-Chun Zhu, Yizhou Wang
Forty-first International Conference on Machine Learning (ICML), Vienna, Jul. 21-27, 2024. [PDF]
11. Bongard-OpenWorld: Few-Shot Reasoning for Free-form Visual Concepts in the Real World
Rujie Wu, Xiaojian Ma, Zhenliang Zhang, Wei Wang, Qing Li, Song-Chun Zhu, Yizhou Wang
Twelfth International Conference on Learning Representations (ICLR), Vienna, May 7-11, 2024. [PDF]
12. Safe RLHF: Safe Reinforcement Learning from Human Feedback
Josef Dai, Xuehai Pan, Ruiyang Sun, Jiaming Ji, Xinbo Xu, Mickel Liu, Yizhou Wang, Yaodong Yang
Twelfth International Conference on Learning Representations (ICLR), Vienna, May 7-11, 2024. (spotlight) [PDF]
13. Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong
2024 IEEE International Conference on Robotics and Automation (ICRA), PACIFICO Yokohama, May 13-17, 2024. [PDF]
2023
1. Dyadic visual perceptual learning on orientation discrimination
Yifei Zhang, Keyan Bi, Jian Li, Yizhou Wang, Fang Fang
Current Biology, vol. 33(12), pp. 2407-2416, 2023. [PDF]
2. Learning Semantic-Agnostic and Spatial-Aware Representation for Generalizable Visual-Audio Navigation
Hongcheng Wang, Yuxuan Wang, Fangwei Zhong, Mingdong Wu, Jianwei Zhang, Yizhou Wang, Hao Dong
IEEE Robotics and Automation Letters (RA-L), vol. 8(6), pp. 3900-3907, 2023. [PDF]
3. Decoding Six Basic Emotions from Brain Functional Connectivity Patterns
Chunyu Liu, Yingying Wang, Xiaoyue Sun, Yizhou Wang, Fang Fang
Science China – Life Science, vol. 66(4), pp. 835-847, 2023. [PDF]
4. Causal Discovery from Subsampled Time Series with Proxy Variables
Mingzhou Liu, Xinwei Sun, Lingjing Hu, Yizhou Wang
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Dec. 10-16, 2023. [PDF]
5. Social Motion Prediction with Cognitive Hierarchies
Wentao Zhu, Jason Qin, Yuke Lou, Hang Ye, Xiaoxuan Ma, Hai Ci, Yizhou Wang
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Dec. 10-16, 2023. [PDF]
6. ChimpACT: A Longitudinal Dataset for Understanding Chimpanzee Behaviors
Xiaoxuan Ma, Stephan Paul Kaufhold, Stephan Paul Kaufhold, Jiajun Su, Wentao Zhu, Jack Terwilliger, Andres Meza, Yixin Zhu, Federico Rossano, Yizhou Wang
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Dec. 10-16, 2023. [PDF]
7. BeaverTails: A Human-Preference Dataset for LLM Harmlessness Alignment
Jiaming Ji, Mickel Liu, Juntao Dai, Xuehai Pan, Chi Zhang, Ce Bian, Boyuan Chen, Ruiyang Sun, Yizhou Wang, Yaodong Yang
Thirty-seventh Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Dec. 10-16, 2023. [PDF]
8. Efficient Human Motion Reconstruction from Monocular Videos with Physical Consistency Loss
Lin Cong, Philipp Ruppel, Yizhou Wang, Xiang Pan, Norman Hendrich, Jianwei Zhang
SIGGRAPH Asia, Sydney, Dec. 12-15, 2023. [PDF]
9. Learning Human Motion Representations: A Unified Perspective
Wentao Zhu, Xiaoxuan Ma, Zhaoyang Liu, Libin Liu, Wayne Wu, Yizhou Wang
International Conference on Computer Vision (ICCV), Paris, Oct. 2-6, 2023. [PDF]
10. Which Invariance Should We Transfer? A Causal Minimax Learning Approach
Mingzhou Liu, Xiangyu Zheng, Xinwei Sun, Fang Fang, Yizhou Wang
The Fortieth International Conference on Machine Learning (ICML), Hawaii, July 23-29, 2023. [PDF]
11. GFPose: Learning Gradient Field for Multi-Hypothesis 3D Human Pose Estimation
Hai Ci, Mingdong Wu, Wentao Zhu, Xiaoxuan Ma, Hao Dong, Fangwei Zhong, Yizhou Wang
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Jun 18-22, 2023. [PDF]
12. 3D Human Mesh Estimation from Virtual Markers
Xiaoxuan Ma, Chunyu Wang, Jiajun Su, Wentao Zhu, Yizhou Wang
The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Vancouver, Jun 18-22, 2023. [PDF]
13. Proactive Multi-Camera Collaboration for 3D Human Pose Estimation
Hai Ci, Mickel Liu, Xuehai Pan, Fangwei Zhong, Yizhou Wang
The Eleventh International Conference on Learning Representations (ICLR), Kigali Rwanda, May 1-5, 2023. [PDF]
14. Learning Domain-Agnostic Representation for Disease Diagnosis
Churan Wang, Jing Li, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
The Eleventh International Conference on Learning Representations (ICLR), Kigali Rwanda, May 1-5, 2023. [PDF]
15. RSPT: Reconstruct Surroundings and Predict Trajectory for Generalizable Active Object Tracking
Fangwei Zhong, Xiao Bi, Yudi Zhang, Wei Zhang, Yizhou Wang
Thirty-Seven AAAI Conference on Artificial Intelligence (AAAI), Washington DC, Feb. 7-14, 2023. [PDF]
2022
1. Locally Connected Network for Monocular 3D Human Pose Estimation
Hai Ci, Xiaoxuan Ma, Chunyu Wang, Yizhou Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 44(3), pp. 1429-1442, 2022. [PDF]
2. Act Like a Radiologist: Towards Reliable Multi-view Correspondence Reasoning for Mammogram Mass Detection
Yuhang Liu, Fandong Zhang, Chaoqi Chen, Siwen Wang, Yizhou Wang, Yizhou Yu
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 44(10), pp. 5947-5961, 2022. [PDF]
3. A Residual Learning Approach to Deblur and Generate High Frame Rate Video with an Event Camera
Haoyu Chen, Minggui Teng, Boxin Shi, Yizhou Wang, Tiejun Huang
IEEE Transactions on Multimedia (IEEE-TMM), vol. 52, pp. 5826 - 5839, 2022. [PDF]
4. MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
Xuehai Pan, Mickel Liu, Fangwei Zhong, Yaodong Yang, Song-Chun Zhu, Yizhou Wang
Thirty-sixth Conference on Neural Information Processing Systems (NeurIPS), New Orleans, Nov. 28 – Dec. 3, 2022. [PDF]
5. One-Shot Medical Landmark Localization by Edge-Guided Transform and Noisy Landmark Refinement
Zihao Yin, Ping Gong, Chunyu Wang, Yizhou Yu, Yizhou Wang
European Conference on Computer Vision (ECCV), Tel-Aviv, Oct. 23-27, 2022. [PDF]
6. Towards Monocular Absolute 3D Human Pose Estimation in the Wild
Jiajun Su, Chunyu Wang, Xiaoxuan Ma, Wenjun Zeng, Yizhou Wang
European Conference on Computer Vision (ECCV), Tel-Aviv, Oct. 23-27, 2022. [PDF]
7. Efficient Multi-View 3D Human Pose Estimation by Volume Re-projection
Hang Ye, Wentao Zhu, Rujie Wu, Chunyu Wang, Yizhou Wang
European Conference on Computer Vision (ECCV), Tel-Aviv, Oct. 23-27, 2022. [PDF]
8. Intrinsic Image Decomposition by Pursuing Reflectance Image
Tzu-Heng Lin, Pengxiao Wang, Yizhou Wang
The 31st International Joint Conferences on Artificial Intelligence (IJCAI), Vienna, July 23-29, 2022. [PDF]
9. Disentangling Disease-related Representation from Obscure for Disease Prediction
Churan Wang, Fei Gao, Fandong Zhang, Fangwei Zhong, Yizhou Yu, Yizhou Wang
Thirty-ninth International Conference on Machine Learning (ICML), Baltimore, July 17-23, 2022. [PDF]
10. ToM2C: Target-oriented Multi-agent Communication and Cooperation with Theory of Mind
Yuanfei Wang, Fangwei Zhong, Jing Xu, Yizhou Wang
The Tenth International Conference on Learning Representations (ICLR), Virtual, Apr. 25-29, 2022. [PDF]
11. 3D Motion Retargeting in the Wild via Canonicalization Networks
Wentao Zhu, Zhouqian Yang, Ziang Di, Wayne Wu, Yizhou Wang, Chen Change Loy
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Feb. 22 – Mar. 1, 2022. [PDF]
12. Causal Intervention for Subject-deconfounded Facial Action Unit Recognition
Yingjie Chen, Diqi Chen, Tao Wang, Yizhou Wang, Yun Liang
The Thirty-Sixth AAAI Conference on Artificial Intelligence (AAAI), Vancouver, Feb. 22 – Mar. 1, 2022. [PDF]
2021
1. AD-VAT+: An Asymmetric Dueling Mechanism for Learning and Understanding Visual Active Tracking
Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 43(5), pp. 1467-1482, 2021. [PDF]
2. Compare and Contrast: Detecting Mammographic Soft-tissue Lesions with C^2-Net
Yuhang Liu, Changsheng Zhou, Fandong Zhang, Qianyi Zhang, Siwen Wang, Juan Zhou, Fugeng Sheng, Xiaoqi Wang, Wanhua Liu, Yizhou Wang, Yizhou Yu, Guangming Lu
Medical Image Analysis (MIA), vol. 71(101999), 2021. [PDF]
3. Towards Distraction-Robust Active Visual Tracking
Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang
The Thirty-eighth International Conference on Machine Learning (ICML), Virtual, Jul. 18-24, 2021. [PDF]
4. Context Modeling in 3D Human Pose Estimation: A Unified Perspective
Xiaoxuan Ma, Jiajun Su, Chunyu Wang, Hai Ci, Yizhou Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, Jun. 19-25, 2021. [PDF]
5. Disease Forecast via Progression Learning
Botong Wu, Sijie Ren, Jing Li, Xinwei Sun, Shimin Li, Yizhou Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, Jun. 19-25, 2021. [PDF]
6. Causal Hidden Markov Model for Time Series Disease Forecasting
Jing Li, Xinwei Sun, Botong Wu, Yizhou Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, Jun. 19-25, 2021. [PDF]
7. Towards Unified Surgical Skill Assessment
Daochang Liu, Qiyue Li, Tingting Jiang, Yizhou Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Virtual, Jun. 19-25, 2021. [PDF]
8. An Empirical Study of the Collapsing Problem in Semi-Supervised 2D Human Pose Estimation
Rongchang Xie, Chunyu Wang, Wenjun Zeng, Yizhou Wang
International Conference on Computer Vision (ICCV), Virtual, Oct. 11-17, 2021. [PDF]
9. CA-Net: Leveraging Contextual Features for Lung Cancer Prediction
Mingzhou Liu, Fandong Zhang, Xinwei Sun, Yizhou Yu, Yizhou Wang
24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Sept. 27 - Oct. 1, 2021. [PDF]
10. DAE-GCN: Identifying Disease-Related Features for Disease Prediction
Churan Wang, Xinwei Sun, Fandong Zhang, Yizhou Yu, Yizhou Wang
24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Sept. 27 - Oct. 1, 2021. [PDF]
11. Symmetry-Enhanced Attention Network for Acute Ischemic Infarct Segmentation with Non–Contrast CT Images
Kongming Liang, Kai Han, Xiuli Li, Xiaoqing Cheng, Yizhou Wang, Yizhou Yu
24th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Sept. 27 - Oct. 1, 2021. [PDF]
12. CaFGraph: Context-aware Facial Multi-graph Representation for Facial Action Unit Recognition
Yingjie Chen, Diqi Chen, Yizhou Wang, Tao Wang, Yun Liang
ACM Multimedia (ACM-MM), Chengdu, China, Oct. 20-24, 2021. [PDF]
13. Cross-modal Representation Learning For Lightweight and Accurate Facial Action Unit Detection
Yingjie Chen, Han Wu, Tao Wang, Yizhou Wang, Yun Liang
2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Prague/Virtual, Sept. 27 – Oct. 1, 2021. [PDF]
2020
1. End-to-end Active Object Tracking and Its Real-world Deployment via Reinforcement Learning
Wenhan Luo, Peng Sun, Fangwei Zhong, Tong Zhang, Yizhou Wang
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 42(6), pp. 1317-1332, 2020. [PDF]
2. No-Reference Image Quality Assessment: An Attention Driven Approach
Diqi Chen, Yizhou Wang, Wen Gao
IEEE Trans. on Image Processing (IEEE-TIP), vol. 29, pp. 6496-6506, 2020. [PDF]
3. Exploring Task Structure for Brain Tumor Segmentation from Multi-Modality MR Images
Dingwen Zhang, Guohai Huang, Qiang Zhang, Jungong Han, Junwei Han, Yizhou Wang, Yizhou Yu
IEEE Trans. on Image Processing (IEEE-TIP), vol. 29, pp. 9032-9043, 2020. [PDF]
4. Combining a Gradient-based Method and an Evolution Strategy for Multi-Objective Reinforcement Learning
Diqi Chen, Yizhou Wang, Wen Gao
Applied Intelligence, vol. 50, pp. 3301–3317, 2020. [PDF]
5. Learning Multi-Agent Coordination for Enhancing Target Coverage in Directional Sensor Networks
Jing Xu, Fangwei Zhong, Yizhou Wang
The Thirty-fourth Conference on Neural Information Processing Systems (NeurIPS), Virtual, Dec. 7-12, 2020. [PDF]
6. MetaFuse: A Pre-trained Fusion Model for Human Pose Estimation
Rongchang Xie, Chunyu Wang, Yizhou Wang
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 16-18, 2020. [PDF]
7. Cross-view Correspondence Reasoning based on Bipartite Graph Convolutional Network for Mammogram Mass Detection
Yuhang Liu, Fandong Zhang, Qianyi Zhang, Siwen Wang, Yizhou Wang, Yizhou Yu
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Seattle, USA, Jun. 16-18, 2020. [PDF]
8. TCGM: An Information-Theoretic Framework for Semi-Supervised Multi-Modality Learning
Xinwei Sun, Yilun Xu, Peng Cao, Yuqing Kong, Lingjing Hu, Shanghang Zhang, Yizhou Wang
16th European Conference on Computer Vision (ECCV), Online, Aug. 23-28, 2020. [PDF]
9. Pose-Assisted Multi-Camera Collaboration for Active Object Tracking
Jing Li, Jing Xu, Fangwei Zhong, Xiangyu Kong, Yu Qiao, Yizhou Wang
The Thirty-Fourth AAAI Conference on Artificial Intelligence (AAAI), New York, USA, Feb. 7-12, 2020. [PDF]
10. BR-GAN: Bilateral Residual Generating Adversarial Network for Mammogram Classification
Chu-ran Wang, Fandong Zhang, Yizhou Yu, Yizhou Wang
23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Oct. 4-8, 2020. [PDF]
11. Context-Aware Refinement Network Incorporating Structural Connectivity Prior for Brain Midline Delineation
Shen Wang, Kongming Liang, Yizhou Yu, Yizhou Wang
23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Oct. 4-8, 2020. [PDF]
12. Unsupervised Surgical Instrument Segmentation via Anchor Generation and Semantic Diffusion
Daochang Liu, Yuhui Wei, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Oct. 4-8, 2020. [PDF]
13. Multi-stream Progressive Up-sampling Network for Dense CT Image Reconstruction
Qiuyue Liu, Feng Liu, Zhen Zhou, Xiangming Fang, Yizhou Yu, Yizhou Wang
23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Oct. 4-8, 2020. [PDF]
14. Towards Robust Bone Age Assessment: Rethinking Label Noise and Ambiguity
Ping Gong, Zihao Yin, Yizhou Wang, Yizhou Yu
23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Oct. 4-8, 2020. [PDF]
15. Revisiting 3D Context Modeling with Supervised Pre-training for Universal Lesion Detection on CT Slices
Shu Zhang, Jincheng Xu, Yu Chu Chen, Jiechao Ma, Zihao Li, Yizhou Wang, Yizhou Yu
23rd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Online, Oct. 4-8, 2020. [PDF]
2019
1. Robust 3D Human Pose Estimation from Single Images or Video Sequences
Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 41(5), pp. 1227-1241, 2019. [PDF]
2. Fast and Resilient Indoor Floor Plan Construction with a Single User
Ruipeng Gao, Bing Zhou, Fan Ye, Yizhou Wang
IEEE Transactions on Mobile Computing (IEEE-TMC), vol. 18(5), pp. 1083-1097, 2019. [PDF]
3. Max-MIG: an Information Theoretic Approach for Joint Learning from Crowds
Peng Cao*, Yilun Xu*, Yuqing Kong, Yizhou Wang
Seventh International Conference on Learning Representations (ICLR), New Orleans, USA, May 6-9, 2019. [PDF]
4. AD-VAT: An Asymmetric Dueling mechanism for learning Visual Active Tracking
Fangwei Zhong, Peng Sun, Wenhan Luo, Tingyun Yan, Yizhou Wang
Seventh International Conference on Learning Representations (ICLR), New Orleans, USA, May 6-9, 2019. [PDF]
5. Cascaded Generative and Discriminative Learning for Microcalcification Detection in Breast Mammograms
Fandong Zhang, Ling Luo, Xinwei Sun, Zhen Zhou, Xiuli Li, Yizhou Wang, Yizhou Yu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]
6. CRAVES: Controlling Robotic Arm With a Vision-Based Economic System
Yingming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan Yuille
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]
7. Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Maker, Yibiao Zhao, Yizhou Wang, Yingnian Wu
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]
8. Completeness Modeling and Context Separation for Weakly Supervised Temporal Action Localization
Daochang Liu, Tingting Jiang, Yizhou Wang
IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), Long Beach, USA, Jun. 16-20, 2019. [PDF]
9. Learning with Unsure Data for Medical Image Diagnosis
Botong Wu, Xinwei Sun, Lingjing Hu, Yizhou Wang
International Conference in Computer Vision (ICCV), Seoul, South Korea, Oct. 27-Nov. 2, 2019. [PDF]
10. Optimizing Network Structure for 3D Human Pose Estimation
Hai Ci, Chunyu Wang, Xiaoxuan Ma, Yizhou Wang
International Conference in Computer Vision (ICCV), Seoul, South Korea, Oct. 27-Nov. 2, 2019. [PDF]
11. Align, Attend and Locate: Chest X-ray Diagnosis via Contrast Induced Attention Network with Limited Supervision
Jingyu Liu, Gangming Zhao, Yu Fei, Ming Zhang, Yizhou Wang, Yizhou Yu
International Conference in Computer Vision (ICCV), Seoul, South Korea, Oct. 27-Nov. 2, 2019. [PDF]
12. Surgical Skill Assessment on In-Vivo Clinical Data via the Clearness of Operating Field
Daochang Liu, Tingting Jiang, Yizhou Wang, Rulin Miao, Fei Shan, Ziyu Li
The 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, Oct. 13-17, 2019. [PDF]
13. From Unilateral to Bilateral Learning: Detecting Mammogram Mass with Contrasted Bilateral Network
Yuhang Liu, Shu Zhang, Ling Luo, Qianyi Zhang, Fandong Zhang, Xiuli Li, Yizhou Wang, Yizhou Yu
The 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, Oct. 13-17, 2019. [PDF]
14. MVP-Net: Multi-view FPN with Position-aware Attention for Deep Universal Lesion Detection
Zihao Li, Shu Zhang, Junge Zhang, Kaiqi Huang, Yizhou Wang, Yizhou Yu
The 22nd International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), ShenZhen, China, Oct. 13-17, 2019. [PDF]
15. L_DMI: A Novel Information-theoretic Loss Function for Training Deep Nets Robust to Label Noise
Yilun Xu*, Peng Cao*, Yuqing Kong, Yizhou Wang
The Thirty-third Conference on Neural Information Processing Systems (NeurIPS), Vancouver, Canada, Dec. 8-14, 2019. [PDF]
2018
1. Building Invariances into Sparse Subspace Clustering
Bo Xin, Yizhou Wang, Wen Gao, David Wipf
IEEE Transactions on Signal Processing (IEEE-TSP), vol. 66(2), pp. 449-462, 2018. [PDF]
2. MSplit LBI: Realizing Feature Selection and Dense Estimation Simultaneously in Few-shot and Zero-shot Learning
Bo Zhao, Xinwei Sun, Yanwei Fu, Yuan Yao, Yizhou Wang
International Conference on Machine Learning (ICML), Stockholm, Sweden, Jul. 10-15, 2018. [PDF]
3. End-to-end Active Object Tracking via Reinforcement Learning
Wenhan Luo, Peng Sun, Fangwei Zhong, Wei Liu, Tong Zhang, Yizhou Wang
International Conference on Machine Learning (ICML), Stockholm, Sweden, Jul. 10-15, 2018. [PDF]
4. Video Object Segmentation by Learning Location-Sensitive Embeddings
Hai Ci, Chunyu Wang, Yizhou Wang
European Conference on Computer Vision (ECCV), Munich, Germany, Sept. 8-14, 2018. [PDF]
5. FDR-HS: An Empirical Bayesian Identification of Heterogenous Features in Neuroimage Analysis
Xinwei Sun, Lingjing Hu, Fandong Zhang, Yuan Yao, Yizhou Wang
The 21th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Granada, Spain, Sept. 16-20, 2018. [PDF]
6. RAN4IQA: Restorative Adversarial Nets for No-Reference Image Quality Assessment
Hongyu Ren, Diqi Chen, Yizhou Wang
The Thirty-Second AAAI Conference on Artificial Intelligence (AAAI), New Orleans, USA, Feb. 2-7, 2018. [PDF]
7. Detect-SLAM: Making Object Detection and SLAM Mutually Beneficial
Fangwei Zhong, Sheng Wang, Ziqi Zhang, Chen Zhou, Yizhou Wang
IEEE Winter Conference on Applications of Computer Vision (WACV), Lake Tahoe, USA, Mar. 12-15, 2018. [PDF]
2017
1. Smartphone-based Real Time Vehicle Tracking in Indoor Parking Structures
Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, Guojie Luo
IEEE Transactions on Mobile Computing (IEEE-TMC), vol. 16(7), pp. 2023-2036, 2017. [PDF]
2. Collaborative Deep Reinforcement Learning for Joint Object Search
Xiangyu Kong, Bo Xin, Yizhou Wang, Gang Hua
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, USA, Jul. 21-26, 2017. [PDF]
3. Learning Discriminative Activated Simplices for Action Recognition
Chenxu Luo, Chang Ma, Chunyu Wang, Yizhou Wang
The Thirty-First AAAI Conference on Artificial Intelligence (AAAI), San Francisco, USA, Feb. 4-9, 2017. [PDF]
4. Data-Dependent Sparsity for Subspace Clustering
Bo Xin, Yizhou Wang, David Wipf
Conference on Uncertainty in Artificial Intelligence (UAI), Sydney, Australia, Aug. 11-15, 2017. [PDF]
5. GSplit LBI: Taming the Procedural Bias in Neuroimaging for Disease Prediction
Xinwei Sun, Lingjing Hu, Yuan Yao, Yizhou Wang
The 20th International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), Quebec City, Canada, Sept. 10-14, 2017. [PDF]
6. Knitter: Fast, Resilient Single-User Indoor Floor Plan Construction
Ruipeng Gao, Bing Zhou, Fan Ye, Yizhou Wang
The 36th Annual IEEE International Conference on Computer Communications (INFOCOM), Atlanta, USA, May 1-4, 2017. [PDF]
7. UnrealCV: Virtual Worlds for Computer Vision
Weichao Qiu, Fangwei Zhong, Yi Zhang, Siyuan Qiao, Zihao Xiao, Tae Soo Kim, Yizhou Wang, Alan Yuille
ACM Multimedia (ACM-MM) Open Source Software Competition, Mountain View, USA, Oct. 23-27, 2017. [PDF][Demo][Website]
8. Effective Master-Slave Communication On A Multi-Agent Deep Reinforcement Learning System
Xiangyu Kong, Bo Xin, Fangchen Liu, Yizhou Wang
Neural Information Processing Systems Workshop on Hierarchical Reinforcement Learning (NIPSW), Long Beach, USA, Dec. 4-9, 2017. [PDF][Demo]
9. Zero-Shot Learning posed as a Missing Data Problem
Bo Zhao, Botong Wu, Tianfu Wu, Yizhou Wang
The 4th IEEE International Conference on Computer Vision Workshop on TASK-CV (ICCVW), Venice, Italy, Oct. 22-29, 2017. [PDF]
2016
1. Efficient Generalized Fused Lasso and its Applications
Bo Xin, Yoshinobu Kawahara, Yizhou Wang, Lingjing Hu, Wen Gao
ACM Transactions on Intelligent Systems and Technology (ACM-TIST), vol.7(4), pp. 60:1-22, 2016. [PDF]
2. Exploring Algorithmic Limits of Matrix Rank Minimization under Affine Constraints
Bo Xin, Yizhou Wang, Wen Gao, David Wipf
IEEE Transactions on Signal Processing (IEEE-TSP), vol. 64(19), pp. 4960-4974, 2016. [PDF]
3. Multi-story Indoor Floor Plan Reconstruction via Mobile Crowdsensing
Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Guojie Luo, Yizhou Wang, Kaigui Bian, Tao Wang, Xiaoming Li
IEEE Transactions on Mobile Computing (IEEE-TMC), vol.15(6), pp. 1427-1442, 2016. [PDF]
4. Sextant: Towards Ubiquitous Indoor Localization Service by Photo-taking of the Environment
Ruipeng Gao, Yang Tian, Kaigui Bian, Fan Ye, Tao Wang, Yizhou Wang, Xiaoming Li
IEEE Transactions on Mobile Computing (IEEE-TMC), vol. 15(2), pp. 460-474, 2016. [PDF]
5. Neural Activities in V1 Create the Bottom-up Saliency Map of Natural Scenes
Cheng Chen, Xilin Zhang, Yizhou Wang, Tiangang Zhou, Fang Fang
Experimental Brain Research (EBR), vol. 234, pp. 1769–1780, 2016. [PDF]
6. Misbinding of Color and Motion in Human Early Visual Cortex: Evidence from Event-related Potentials
Yanyu Zhang, Xilin Zhang, Yizhou Wang, Fang Fang
Vision Research (VR), vol. 122, pp. 51-59, 2016. [PDF]
7. Robust Subjective Visual Property Prediction From Crowdsourced Pairwise Labels
Yanwei Fu, Timothy M. Hospedales, Tao Xiang, Jiechao Xiong, Shaogang Gong, Yizhou Wang, Yuan Yao
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 38(3), pp. 563-577, 2016. [PDF]
8. A Novel Method to Study Bottom-up Visual Saliency and Its Neural Mechanism
Cheng Chen, Xilin Zhang, Yizhou Wang, Fang Fang
* This bottom-up saliency map dataset is acquired NOT using eye-tracking.
9. Mining 3D Key-Pose-Motifs for Action Recognition
Chunyu Wang, Yizhou Wang, Alan Yuille
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, USA, Jun. 26 - Jul. 1, 2016. [PDF]
10. Recognizing Actions in 3D using Action-Snippets and Activated Simplices
Chunyu Wang, John Flynn, Yizhou Wang, Alan Yuille
The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix, USA, Feb. 12-17, 2016. [PDF][Code]
11. Robust Complex Behaviour Modeling at 90Hz
Xiangyu Kong, Yizhou Wang, Tao Xiang
The Thirtieth AAAI Conference on Artificial Intelligence (AAAI), Phoenix, USA, Feb. 12-17, 2016. [PDF]
12. Neighborhood-Preserving Hashing for Large-Scale Cross-Modal Search
Botong Wu, Yizhou Wang
ACM Multimedia (ACM-MM), Amsterdam, the Netherlands, Oct. 15-19, 2016. [PDF]
13. Maximal Sparsity with Deep Networks?
Bo Xin, David Wipf, Yizhou Wang
The Thirtieth Annual Conference on Neural Information Processing Systems (NIPS), Barcelona, Spain, Dec. 5-10, 2016. [PDF]
14. Face Detection with End-to-End Integration of a ConvNet and a 3D Model
Yunzhu Li, Benyuan Sun, Tianfu Wu, Yizhou Wang
The 16th European Conference on Computer Vision (ECCV), Amsterdam, the Netherlands, Oct. 11-14, 2016. [PDF]
2015
1. Learning Hierarchical Space Tiling for Scene Modeling, Parsing and Attribute Tagging
Shuo Wang, Yizhou Wang, Song-Chun Zhu
IEEE Transactions on Pattern Analysis and Machine Intelligence (IEEE-TPAMI), vol. 37(12), pp. 2478-2491, 2015. [PDF]
2. Position Shifts of fMRI-based Population Receptive Fields in Human Visual Cortex Induced by Ponzo Illusion
Dongjun He, Ce Mo, Yizhou Wang, Fang Fang
Experimental Brain Research (EBR), vol 233(12), pp. 3535-3541, 2015. [PDF]
3. Predictive Encoding of Contextual Relationships for Perceptual Inference, Interpolation and Prediction
Mingmin Zhao, Chengxu Zhuang, Yizhou Wang, Tai Sing Lee
Workshop of the International Conference on Learning Representations (ICLR), San Diego, USA, May 7-9, 2015. [PDF]
4. Quantized Correlation Hashing for Fast Cross-modal Search
Botong Wu, Qiang Yang, Weishi Zheng, Yizhou Wang, Jingdong Wang
International Joint Conference on Artifical Intelligence (IJCAI), Buenos Aires, Argentina, Jul. 25-31, 2015. [PDF]
5. Exploiting Object Similarity in 3D Reconstruction
Chen Zhou, Fatma Guney, Yizhou Wang, Andreas Geiger
International Conference on Computer Vision (ICCV), Santiago, Chile, Dec. 13-16, 2015. [PDF][Demo]
6. Background Subtraction via Generalized Fused Lasso Foreground Modeling
Bo Xin, Yuan Tian, Yizhou Wang, Wen Gao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Boston, USA, Jun. 7-12, 2015. [PDF][Code][Example Data][Demo]
7. Stable Feature Selection from Brain sMRI
Bo Xin, Lingjing Hu, Yizhou Wang, Wen Gao
The Twenty-Ninth AAAI Conference on Artificial Intelligence (AAAI), Austin, USA, Jan. 25-30, 2015. [PDF][Code]
8. VeTrack: Real Time Vehicle Tracking in Uninstrumented Indoor Environments
Mingmin Zhao, Tao Ye, Ruipeng Gao, Fan Ye, Yizhou Wang, Guojie Luo
The 13th ACM Conference on Embedded Networked Sensor Systems (SenSys), Seoul, South Korea, Nov. 1-4, 2015. [PDF]
2014
1. A Shape Reconstructability Measure of Object Part Importance with Applications to Object Detection and Localization
Ge Guo, Yizhou Wang, Tingting Jiang, Alan Yuille, Fang Fang, Wen Gao
International Journal on Computer Vision (IJCV), Vol. 108(3), pp. 241-258, 2014. [PDF]
2. A Compact Representation for Compressing Converted Stereo Videos
Zhebin Zhang, Chen Zhou, Ronggang Wang, Yizhou Wang, Wen Gao
IEEE Transaction on Image Processing (IEEE-TIP), Vol. 23(5), pp. 2343-2355, 2014. [PDF]
3. Robust Estimation of 3D Human Poses from Single Images
Chunyu Wang, Yizhou Wang, Zhouchen Lin, Alan Yuille, Wen Gao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Columbus, USA, Jun. 24-27, 2014. [PDF][Code & Example Data]
4. Efficient Generalized Fused Lasso and its Application to the Diagnosis of Alzheimer's Disease
Bo Xin, Yoshinubo Kawahara, Yizhou Wang, Wen Gao
The Twenty-Eighth AAAI Conference on Artificial Intelligence (AAAI), Quebec City, Canada, Jul. 27-31, 2014. [PDF][Code]
5. Generalized Autoencoder: A Neural Network Framework for Dimensionality Reduction
Wei Wang, Yan Huang, Yizhou Wang, Liang Wang
IEEE CVPR Workshop on DeepVision : Deep learning for computer vision, Columbus, USA, Jun. 23-28, 2014. [PDF]
6. Jigsaw: Indoor Floor Plan Reconstruction via Mobile Crowdsensing
Ruipeng Gao, Mingmin Zhao, Tao Ye, Fan Ye, Yizhou Wang, Kaigui Bian, Tao Wang, Xiaoming Li
The 20th ACM Annual International Conference on Mobile Computing and Networking (Mobicom), Hawaii, USA, Sept. 7-11, 2014. [PDF]
7. Towards Ubiquitous Indoor Localization Service Leveraging Environmental Physical Features
Yang Tian, Ruipeng Gao, Kaigui Bian, Fan Ye, Tao Wang, Yizhou Wang, Xiaoming Li
The 33rd IEEE Annual International Conference on Computer Communications (INFOCOM), Toronto, Canada, Apr. 27 - May 2, 2014. [PDF]
2013
1. Interactive Stereoscopic Video Conversion
Zhebin Zhang, Chen Zhou, Yizhou Wang, Wen Gao
IEEE Transaction on Circuits and Systems for Video Technology (IEEE-TCSVT), vol. 23(10), pp. 1795-1808, 2013. [PDF]
2. Learning Discriminative Features for Fast Frame-based Action Recognition
Liang Wang, Yizhou Wang, Tingting Jiang, Debin Zhao, Wen Gao
Pattern Recognition (PR), vol. 46(7), pp. 1832-1840, 2013. [PDF] [Demo1,Demo2,Demo3]
3. Video Stylization: Painterly Rendering and Optimization with Content Extraction
Liang Lin, Kun Zeng, Yizhou Wang, Ying-Qing Xu, Song-Chun Zhu
IEEE Transactions on Circuits and Systems for Video Technology (IEEE-TCSVT), vol. 23(4), pp. 577-590, 2013. [PDF][Demo1,Demo2,Demo3,Demo4,Demo5,Demo6,Demo7]
4. An Approach to Pose-based Action Recognition
Chunyu Wang, Yizhou Wang, Alan Yuille
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA, Jun. 25-27, 2013. [PDF]
5. A Method of Perceptual-based Shape Decomposition
Chang Ma, Zhongqian Dong, Tingting Jiang, Yizhou Wang, Wen Gao
IEEE International Conference on Computer Vision (ICCV), Sydney, Australia, Dec. 3-6, 2013. [PDF]
6. Weakly Supervised Learning for Attribute Localization in Outdoor Scenes
Shuo Wang, Yizhou Wang, Song-Chun Zhu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Portland, USA, Jun. 25-27, 2013. [PDF]
2012
1. Annotating Traditional Chinese Paintings for Immersive Virtual Exhibition
Wei Ma, Yizhou Wang, Yingqing Xu, Qiong Li, Xin Ma, Wen Gao
ACM Journal on Computing and Cultural Heritage (ACM-JOCCH), vol. 5(2), pp. 6:1-12, 2012. [PDF][Demo1,Demo2]
2. An Interactive System of Stereoscopic Video Conversion
Zhebin Zhang, Chen Zhou, Bo Xin, Yizhou Wang, Wen Gao
ACM Multimedia (ACM-MM), Nara, Japan, Oct. 29 - Nov. 2, 2012. [PDF]
3. A Compact Stereoscopic Video Representation for 3D Video Generation and Coding
Zhebin Zhang, Ronggang Wang, Chen Zhou, Yizhou Wang, Wen Gao
Data Compression Conference (DCC), Salt Lake City, USA, Apr. 10-12, 2012. [PDF]
2011
1. Mining Layered Grammar Rules for Action Recognition
Liang Wang, Yizhou Wang, Wen Gao
International Journal on Computer Vision (IJCV), vol. 93(2), pp. 162-182, 2011. [PDF]
2. Image Understanding, Attention and Human Early Visual Cortex
Fang Fang, Yizhou Wang
Frontiers of Electrical and Electronic Engineering (FEEE), vol.7(1), pp. 85-93, 2011. [PDF]
3. Simulating Human Saccadic Scanpaths on Natural Images
Wei Wang, Cheng Chen, Yizhou Wang, Tingting Jiang, Fang Fang, Yuan Yao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA, Jun. 20-25, 2011. [PDF]
* This work may be regarded as a reinforcement learning type of computational cognitive model.
4. Instantly Telling What Happens in a Video Sequence Using Simple Features
Liang Wang, Yizhou Wang, Tingting Jiang, Wen Gao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Colorado Springs, USA, Jun. 20-25, 2011. [PDF][Demo1, Demo2, Demo3]
Prior to 2010
1. Perceptual Scale-Space and Its Applications
Yizhou Wang, Song-Chun Zhu
International Journal on Computer Vision (IJCV), vol. 80(1), pp. 143-165, 2008. [PDF][Demo1, Demo2, Demo3, Demo4]
2. What are Textons?
Song-Chun Zhu, Cheng-en Guo, Yizhou Wang, Zijiang Xu
International Journal of Computer Vision (IJCV), vol. 62(1-2), pp. 121-143, 2005. [PDF]
3. Analysis and Synthesis of Textured Motion: Particle and Waves
Yizhou Wang, Song-Chun Zhu
IEEE Transaction on Pattern Recognition and Machine Intelligence (IEEE-TPAMI), vol. 26(10), pp. 1348-1363, 2004. [PDF]
4. Measuring Visual Saliency by Site Entropy Rate
Wei Wang, Yizhou Wang, Qingming Huang, Wen Gao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), San Francisco, USA, Jun. 13-18, 2010. [PDF][Code]
5. Painterly Animation Using Video Semantics and Feature Correspondence
Liang Lin, Kun Zeng, Han Lv, Yizhou Wang, Yingqing Xu, Song-Chun Zhu
The 8th Symposium on Non-Photorealistic Animation and Rendering (NPAR), Annecy, France, Jun. 7-10, 2010.
[PDF][Demo1,Demo2,Demo3,Demo4,Demo5,Demo6,Demo7]
6. Perceptual Scale Space and its Applications
Yizhou Wang, Siavosh Bahrami, Song-Chun Zhu
The Tenth IEEE International Conference on Computer Vision (ICCV), Beijing, China, Oct. 17-21, 2005. [PDF][Demo1,Demo2,Demo3,Demo4]
7. Modeling Complex Motion by Tracking and Editing Hidden Markov Graphs
Yizhou Wang, Song-Chun Zhu
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Washington D.C., USA, Jun. 27 - Jul. 2, 2004. [PDF]
8. Modeling Textured Motion: Particle, Wave and Sketch
Yizhou Wang, Song-Chun Zhu
The Ninth IEEE International Conference on Computer Vision (ICCV), Nice, France, Oct. 13-16, 2003. [PDF]
9. A Generative Method for Textured Motion: Analysis and Synthesis
Yizhou Wang, Song-Chun Zhu
The 7th European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 28-31, 2002. [PDF]
10. What are Textons?
Song-Chun Zhu, Cheng-en Guo, Yingnian Wu, Yizhou Wang
The 7th European Conference on Computer Vision (ECCV), Copenhagen, Denmark, May 28-31, 2002. [PDF]
实验室
计算机视觉与数学艺术实验室由王亦洲教授于2007年创立，专注于借鉴认知神经科学和心理学研究的证据，发展计算视觉理论、模型与方法，解决计算机视觉中的挑战性问题。我们的主要目标是通过建立坚实的数学基础，从计算的角度理解人类视觉感知、认知、学习及更多的有效机制。另外，我们也相信，科学与艺术的结合将会在视觉模式的创意表达上激发出令人兴奋的灵感。