Tianzhu Zhang  

张天柱

Associate Professor
Multimedia Computing Group
National Lab of Pattern Recognition
Institute of Automation, Chinese Academy of Sciences
95, Zhongguancun East Road, Beijing 100190, P.R.China

Email: tzzhang@nlpr.ia.ac.cn tzzhang10@gmail.com

Biography

He is currently an Associate Professor at National Laboratory of Pattern Recognition (NLPR) in Institute of Automation, Chinese Academy of Sciences (CASIA) . He received B.E. degree from Beijing Institute of Technology (BIT) in 2006, and Ph.D. degree from the NLPR in CASIA in 2011. He was a Research Scientist at the Advanced Digital Sciences Center (ADSC) , a joint research center between the University of Illinois at Urbana-Champaign (UIUC) and the Agency for Science, Technology and Research (A*STAR) in Singapore. He visited the King Abdullah University of Science and Technology (KAUST) in 2016 .

Research Interests

Pattern Recognition, Computer Vision, Multimedia Analysis, Machine Learning

News

Selected Publications [ DBLP ] [ My Google Scholar ] [ My Full Publications ]

Journal Articles

  1. Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. Learning Multi-task Correlation Particle Filters for Visual Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Full Paper, 2018.   [Paper] [Code] [Project]
  2. Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. Robust Structural Sparse Tracking, IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), Full Paper, 2018.   [Paper] [Code] [Project]
  3. Tianzhu Zhang, Si Liu, Changsheng Xu, Bin Liu, Ming-Hsuan Yang. Correlation Particle Filter for Visual Tracking , IEEE Transactions on Image Processing (TIP), 27(6):2676-2687,2018.   [ Paper ]
  4. Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu. P2T: Part-to-Target Tracking via Deep Regression Learning , IEEE Transactions on Image Processing (TIP), 2018.  
  5. Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu. Text2Video: An End-to-end Learning Framework for Expressing Text with Videos , IEEE Transactions on Multimedia (TMM), 2018.  
  6. Shengsheng Qian, Tianzhu Zhang, Changsheng Xu. Online Multi-modal Multi-expert Learning for Social Event Tracking , IEEE Transactions on Multimedia (TMM), 2018.  
  7. Yifan Jiao et al., Tianzhu Zhang. 3D Attention-Based Deep Ranking Model for Video Highlight Detection , IEEE Transactions on Multimedia (TMM), 2018.  
  8. Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu. Deep Structured Event Modeling for User Generated Photos , IEEE Transactions on Multimedia (TMM), 2017.  
  9. Shengsheng Qian, Tianzhu Zhang, Changsheng Xu. Cross-Domain Collaborative Learning via Discriminative Non-parametric Bayesian Model , IEEE Transactions on Multimedia (TMM), 2017.  
  10. Wei Wang, Chunping Wang, Si Liu, Tianzhu Zhang, Xiaochun Cao. Robust Target Tracking by Online Random Forests and Superpixels , IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2017.   [ Paper ]
  11. Junyu Gao, Tianzhu Zhang, Xiaoshan Yang, Changsheng Xu. Deep Relative Tracking , IEEE Transactions on Image Processing (TIP), Volume:26, Issue:4, Pages:1845-1858, 2017.   [ Paper ]
  12. Yehui Yang, Wenrui Hu, Yuan Xie, Wensheng Zhang, Tianzhu Zhang. Temporal Restricted Visual Tracking Via Reverse-Low-Rank Sparse Learning , IEEE Transactions on Cybernetics (TCYB), 2017, 47(2): 485-498.   [ Paper ]
  13. Tianzhu Zhang, Bernard Ghanem, Si Liu, Changsheng Xu, Narendra Ahuja. Robust Visual Tracking via Exclusive Context Modeling , IEEE Transactions on Cybernetics (TCYB), 2016, 46(1): 51-63. [ Paper ]
  14. Kui Jia, Tsung-Han Chan, Zinan Zeng, Shenghua Gao, Gang Wang, Tianzhu Zhang, Yi Ma. ROML: A robust feature correspondence approach for matching objects in a set of images , International Journal of Computer Vision (IJCV), 2016, 117(2): 173-197.   [ Paper ]
  15. Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu, and Shuicheng Yan. Deep Relative Attributes , IEEE Transactions on Multimedia (TMM), 2016, 18(9): 1832-1842.
  16. Xiaoshan Yang,Tianzhu Zhang, and Changsheng Xu. Semantic Video Embedding via Convolutional Neural Networks , ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2016, 12(4): 55:1-55:22.
  17. Shengsheng Qian, Tianzhu Zhang, Changsheng Xu, Jie Shao. Multi-Modal Event Topic Model for Social Event Analysis , IEEE Transactions on Multimedia (TMM), 2016, 18(2): 233-246.   [ Paper ]
  18. Tianzhu Zhang, Si Liu, Narendra Ahuja, Ming-Hsuan Yang. Robust Visual Tracking via Consistent Low-Rank Sparse Learning , International Journal of Computer Vision (IJCV), 2015, 111(2): 171-190.   [Paper] [Code] [Project]
  19. Xiaoshan Yang, Tianzhu Zhang, and Changsheng Xu. Cross-Domain Feature Learning in Multimedia , IEEE Transactions on Multimedia (TMM), 2015, 17(1): 64-78. [ Paper ]
  20. Xiaoshan Yang,Tianzhu Zhang, Changsheng Xu, and M. Shamim Hossain. Automatic Visual Concept Learning for Social Event Understanding , IEEE Transactions on Multimedia (TMM), 2015, 17(3): 346-358. [ Paper ]
  21. Xiaoshan Yang,Tianzhu Zhang, Changsheng Xu, and Ming-Hsuan Yang. Boosted Multifeature Learning for Cross-Domain Transfer , ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2015, 11(3): 35:1-35:18. [ Paper ]
  22. Chao Sun,Tianzhu Zhang, and Changsheng Xu. Latent Support Vector Machine Modeling for Sign Language Recognition with Kinect , ACM Transactions on Intelligent Systems and Technology (TIST), 2015, 6(2): 20:1-20:20. [ Paper ]
  23. Yehui Yang, Wenrui Hu, Wensheng Zhang, Tianzhu Zhang, Yuan Xie. Discriminative Reverse Sparse Tracking Via Weighted Multi-task Learning , IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2015, accepted.   [ Paper ]
  24. Feng Xue, Jianwei Wang, Shengsheng Qian, Tianzhu Zhang, Xueliang Liu, Changsheng Xu. Multi-modal max-margin supervised topic model for social event analysis , Multimedia Tools and Applications, 2018.  
  25. Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu. A new discriminative coding method for image classification , Multimedia System Journal (MMSJ), 2015, 21(2): 133-145.   [ Paper ]
  26. Long Ying, Tianzhu Zhang, Changsheng Xu. Multi-object tracking via MHT with multiple information fusion in surveillance video , Multimedia System Journal (MMSJ), 2015, 21(3): 313-326.   [ Paper ]
  27. Tianzhu Zhang, Changsheng Xu. Cross-Domain Multi-Event Tracking via CO-PMHT , ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2014, 10(4): 31:1-31:19. [ Paper ]
  28. Shengsheng Qian, Tianzhu Zhang, Changsheng Xu, and M. Shamim Hossai4. Social Event Classification via Boosted Multimodal Supervised Latent Dirichlet Allocation , ACM Transactions on Multimedia Computing, Communications and Applications (TOMM), 2014, 11(2): 27:1-27:22. [ Paper ]
  29. Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja. Robust Visual Tracking via Structured Multi-Task Sparse Learning , International Journal of Computer Vision (IJCV), 2013, 101(2): 367-383. [Paper] [Code] [Project]
  30. Tianzhu Zhang, Si Liu, Changsheng Xu, and Hanqing Lu. Mining Semantic Context Information for Intelligent Video Surveillance of Traffic Scenes , IEEE Transactions on Industrial Informatics (TII), 2013, 9(1): 149-160. [ Paper ]
  31. Chao Sun, Tianzhu Zhang, Bingkun Bao, Changsheng Xu, and Tao Mei. Discriminative Exemplar Coding for Sign Language Recognition with Kinect , IEEE Transactions on Systems, Man and Cybernetics, Part B (TSMC-B), 2013, 43(5): 1418-1428. [ Paper ]
  32. Tianzhu Zhang, Si Liu, Changsheng Xu, and Hanqing Lu. M4L: Maximum Margin Multi-instance Multi-cluster Learning for Scene Modeling , Pattern Recognition (PR), 2013, 46(10): 2711-2723. [ Paper ]
  33. Tianzhu Zhang, Changsheng Xu, Guangyu Zhu, Si Liu and Hanqing Lu. A Generic Framework for Video Annotation via Semi-supervised Learning , IEEE Transactions on Multimedia (TMM), 2012, 14(4): 1206-1219. [ Paper ]
  34. Si Liu, Shuicheng Yan, Tianzhu Zhang, Changsheng Xu, Jing Liu, Hanqing Lu. Weakly-Supervised Graph Propagation Towards Collective Image Parsing , IEEE Transactions on Multimedia (TMM), 2012, 14(2): 361-373. [ Paper ]
  35. Tianzhu Zhang, Jing Liu, Si Liu, Changsheng Xu, and Hanqing Lu. Boosted Exemplar Learning for Action Recognition and Annotation , IEEE Transactions on Circuits and Systems for Video Technology (TCSVT), 2011, 21(7): 853-866. [ Paper ]
  36. Tianzhu Zhang, Si Liu, Changsheng Xu, and Hanqing Lu. Boosted Multi-Class Semi-Supervised Learning for Human Action Recognition , Pattern Recognition (PR), 2011, 44(10-11): 2334-2342. [ Paper ]

Conference Papers

  1. Feifei Zhang, Tianzhu Zhang, Qirong Mao, Changsheng Xu. Joint Pose and Expression Modeling for Facial Expression Recognition , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2018, accepted.
  2. Tianzhu Zhang, Changsheng Xu, Ming-Hsuan Yang. Multi-task Correlation Particle Filter for Robust Object Tracking , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2017. [Paper] [Code] [Project]
  3. Junyu Gao, Tianzhu Zhang, Changsheng Xu. A Unified Personalized Video Recommendation via Dynamic Recurrent Neural Networks , ACM Multimedia (MM), 2017, Full Paper. [Paper]
  4. Fan Qi, Xiaoshan Yang, Tianzhu Zhang, Changsheng Xu. Discriminative Multimodal Embedding for Event Classification, ChinaMM, 2017. (Best Paper Award)
  5. Tianzhu Zhang, Adel Bibi, Bernard Ghanem. In Defense of Sparse Tracking: Circulant Sparse Tracker , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 3880-3888. [ Paper ]
  6. Si Liu, Tianzhu Zhang, Changsheng Xu, Xiaochun Cao. Structural Correlation Filter for Robust Visual Tracking , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 4312-4320. [ Paper ]
  7. Adel Bibi, Tianzhu Zhang, Bernard Ghanem. 3D Part-Based Sparse Tracker with Automatic Synchronization and Registration , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2016, 1439-1448. [ Paper ]
  8. Shengsheng Qian, Tianzhu Zhang, Changsheng Xu. Multi-modal Multi-view Topic-opinion Mining for Social Event Analysis , ACM Multimedia (MM), 2016, 2-11. (Best Paper Award) [ Paper ]
  9. Tianzhu Zhang, Si Liu, Changsheng Xu, Shuicheng Yan, Bernard Ghanem, Narendra Ahuja, Ming-Hsuan Yang. Structural Sparse Tracking , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2015, 150-158. [ Paper ]
  10. Shengsheng Qian, Tianzhu Zhang, Richang Hong, and Changsheng Xu. Cross-Domain Collaborative Learning in Social Multimedia , ACM Multimedia (MM), 2015, 99-108. [ Paper ]
  11. Tianzhu Zhang, Kui Jia, Changsheng Xu, Yi Ma, Narendra Ahuja. Partial Occlusion Handling for Visual Tracking via Robust Part Matching , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2014, 1258-1265. [ Paper ]
  12. Tianzhu Zhang, Bernard Ghanem, Si Liu, Changsheng Xu, Narendra Ahuja. Low-Rank Sparse Coding for Image Classification , IEEE International Conference on Computer Vision (ICCV), 2013, 281-288. [ Paper ]
  13. Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja. Low-Rank Sparse Learning for Robust Visual Tracking , European Conference on Computer Vision (ECCV), 2012, 470-484. [Paper] [Code] [Project]
  14. Tianzhu Zhang, Bernard Ghanem, Si Liu, Narendra Ahuja. Robust Visual Tracking via Multi-Task Sparse Learning , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR Oral 2.5%), 2012, 2042-2049. [ [Paper] [Code] [Project] ]
  15. Si Liu, Jiashi Feng, Zheng Song, Tianzhu Zhang, Hanqing Lu, Changsheng Xu, Shuicheng Yan. Hi, magic closet, tell me what to wear! , ACM Multimedia (MM), 2012, 619-628. [ Paper ]
  16. Tianzhu Zhang, Changsheng Xu, Guangyu Zhu, Si Liu, and Hanqing Lu. A Generic Framework for Event Detection in Various Video Domains , ACM Multimedia (MM), 2010, 103-112. [ Paper ]
  17. Tianzhu Zhang, Hanqing Lu, and Stan Z. Li. Learning Semantic Scene Models by Object Classification and Trajectory Clustering , IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2009, 1940-1947. [ Paper ]