人才队伍
王亦洲
王亦洲 教授(兼职聘任)

+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

  arXiv, 2016. [PDF][Dataset]

  * 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.

  Included as "Notable Paper in Computing" in 2012 by computing reviews' Best of 2012 list [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][Demo1Demo2Demo3]

 

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][Demo1Demo2Demo3Demo4]

 

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.

  Best Paper Award Runner-Up  [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。