王亦洲

姓  名:
王亦洲
职  称:
教授、博导、国家杰青
职  务:
中心副主任
研究领域:
计算机视觉、医学图像分析、统计建模与计算、数字视觉艺术
通信地址:
静园五院202-2
电  话:
+86 (0)10 6276-0759
电子邮件:
yizhou.wang 艾特 pku.edu.cn

 

Postdoctoral Position Openings

 

A Postdoctoral Position is currently available in computer vision and autonomous learning. Skills required include mathematical modeling, programming ability (C++, python) and English communication. Knowledge of deep learning and reinforcement learning is strongly preferred. Some publications in top conferences and journals are pre-requisite. Frequent international academic collaboration is expected. Please contact me with CV, and preferable, research statement for more details.

 


 

DEGREES

2005

Ph.D.

University of California, Los Angeles (UCLA), USA

1996

B.Eng.

Tsinghua University, Beijing, China

 


 

WORKING EXPERIENCE

 

2007.12 - Now,  Professor, Computer Science Dept., Peking University

Vice Director, Center on Frontiers of Computing Studies (CFCS)

 

2005.7 – 2007.12, Research Staff, Palo Alto Research Center (Xerox PARC)

Perceptual Document Analysis Area, Intelligent System Laboratory

 

1996 – 1998, Computer System Consultant, Hewlett-Packard (H.P. Singapore)

 


 

RESEARCH INTERESTS

 

Computer Vision, Medical Image Analysis, Statistical Learning and Computing, Digital Visual Arts

 


 

Computer Vision and Digital Arts (CVDA)

 

The Computer Vision and Digital Art (CVDA) research group was founded in 2007 within the Institute of Digital Media at Peking University after I joined PKU. We focus on developing computational theories and models to solve challenging computer vision problems in light of biologically plausible evidences of visual perception and cognition. Our primary goal is to establish a mathematical foundation of understanding the computational aspect of the robust and efficient mechanisms of human visual perception, cognition, learning and even more. We also believe that the marriage of science and art will stimulate exciting inspirations on producing creative expressions of visual patterns.

 

My research interests include:

  • Computational models for visual attention and autonomous learning
  • Motion, action, behavior modeling and analysis
  • Scene and object structure analysis 
  • Medical Image Analysis
  • Multimedia and mobile computing

 

Select Publications

2019

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), in press, 2019. [PDF]

 

2.  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]

 

3. Fast, Resilient Single-User Indoor Floor Plan Construction

  Ruipeng Gao, Bing Zhou, Fan Ye, Yizhou Wang

  IEEE Transactions on Mobile Computing (IEEE-TMC), vol. 18(5), pp 1083-1097, 2019. [PDF]

 

4. 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]

 

5. 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]

 

6. 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]

 

7. 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]

 

8. 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]

 

9. 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]

 

10. 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]

 

11. 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]

 

12. 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]

 

13. 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]

 

14. 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]

 

15. 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]

 

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.

  Best Paper Award  [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]

 

  • Algorithms (Discussion Class, Undergraduate Course)  @ Sch'l of EECS, Peking University
  • Theories, Models and Methods of Computer Vision (Graduate/Undergarduate Course)  @ Sch'l of EECS, Peking University
  • Theories and Methods Pattern Recognition and Statistical Learning (Undergraduate Course)  @ Sch'l of EECS, Peking University
  • Introduction to Computer Systems  (Undergraduate Course)  @ Sch'l of EECS, Peking University
  • Models and Methods of Computer Vision (Graduate Course) @ Sch'l of EECS, Peking University
  • Fundamentals of Digital Media (Undergraduate course, co-teaching) @ Sch'l of EECS, Peking University
  • Video Coding and Understanding (Graduate course, co-teaching) @ Sch'l of EECS, Peking University
  • Computer Vision (Graduate course, co-teaching) @ Sch'l of EECS, Peking University

 

 


Previous Teaching

2004

Mathematical Models and Methods for Computer Science (Undergraduate course)  @ Computer Science Department, UCLA