The Center for Research on Intelligent Perception and Computing
     Chinese
   homepage
Tieniu Tan

             E-mail: tnt at nlpr.ia.ac.cn
             Tel:+86-10-82544587
             Address:Intelligent Building, 95 Zhongguancun East Road, Haidian District, BEIJING, CHINA
             Postcode: 100190
             Homepage: http://cripac.ia.ac.cn/en/EN/column/item80.shtml

Overview

Dr. Tieniu Tan received his BSc degree in electronic engineering from Xi'an Jiaotong University, China, in 1984, and his MSc and PhD degrees in electronic engineering from Imperial College London, U.K., in 1986 and 1989, respectively. In October 1989, he joined the Computational Vision Group at the Department of Computer Science, The University of Reading, Reading, U.K., where he worked as a Research Fellow, Senior Research Fellow and Lecturer. In January 1998, he returned to China to join the National Laboratory of Pattern Recognition (NLPR), Institute of Automation of the Chinese Academy of Sciences (CAS), Beijing, China, where he is currently a Professor and the director of Center for Research on Intelligent Perception and Computing (CRIPAC), and was former director (1998-2013) of the NLPR and Director General of the Institute (2000-2007). He is currently also Deputy Director of Liaison Office of the Central People’s Government in the Hong Kong S.A.R. He has published 14 edited books or monographs and more than 600 research papers in refereed international journals and conferences in the areas of image processing, computer vision and pattern recognition. His current research interests include biometrics, image and video understanding, and information content security.
Dr. Tan is a Fellow of CAS, TWAS (The World Academy of Sciences for the advancement of science in developing countries), IEEE and IAPR (the International Association of Pattern Recognition), and an International Fellow of the UK Royal Academy of Engineering. He has served as chair or program committee member for many major national and international conferences. He is or has served as Associate Editor or member of editorial boards of many leading international journals including IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), IEEE Transactions on Automation Science and Engineering, IEEE Transactions on Information Forensics and Security, IEEE Transactions on Circuits and Systems for Video Technology, Pattern Recognition, Pattern Recognition Letters, Image and Vision Computing, etc. He is Editor-in-Chief of the International Journal of Automation and Computing. He was founding chair of the IAPR Technical Committee on Biometrics, the IAPR-IEEE International Conference on Biometrics, the IEEE International Workshop on Visual Surveillance and Asian Conference on Pattern Recognition (ACPR). He has served as the President of the IEEE Biometrics Council. He is currently the Deputy President of Chinese Artificial Intelligence Association and President of China Society of Image and Graphics. He has given invited talks and keynotes at many universities and international conferences, and has received many national and international awards and recognitions.

Research Area

Computer vision, biometrics, cyber data analysis and security

Awards

Honorary Doctorate of York University, 2017
Corresponding Member of Brazil Academy of Sciences, 2016
Fellow of TWAS (The World Academy of Sciences for the advancement of science in developing countries), 2014
International Fellow of the Royal Academy of Engineering, 2014
CAS academician, 2013
Outstanding Supervisor Award of GUCAS, 2011
The Second Prize of National Science and Technology Progress Award, 2011
Honourable Mention for Classification Method in PASCAL Visual Object Classes Challenge (VOC 2011)
Joint Winner for Detection Method in PASCAL Visual Object Classes Challenge (VOC 2011)
The First Place of Noisy Iris Challenge Evaluation, Part II (NICE.II), 2010
Winner for Detection Method in PASCAL Visual Object Classes Challenge (VOC 2010)
Honourable Mention for Classification Method in PASCAL Visual Object Classes Challenge (VOC 2010)
The 12th China Patent Award (Outstanding Patent–Visual Surveillance), 2010
Beijing Patent Award (the second class prize), 2010
The 11th China Patent Award (Outstanding Patent–Iris Recognition), 2009
The First Place of Noisy Iris Challenge Evaluation, Part I (NICE.I), 2009
The third Prize of Beijing Science & Technology, 2008
The Second Prize of National Science and Technology Progress Award, 2005
Beijing Science and Technology Award, the first prize, 2004
Beijing Science and Technology Award, the third prize, 2004
The Second Prize of National Natural Science Award, 2004
National Outstanding Youth Award, 1999
BMVC96 Poster Prize of British Machine Vision Association and Society for Pattern Recognition (BMVA), 1996

Professional Activities

President of China Society of Image and Graphics(2016-)
Deputy President of the Chinese Association for Artificial Intelligence (2010 -)
Member of Editorial Board, IET Image Processing(2008 -)
Member of Advisory Board, Journal of Real-Time Image Processing(2006 -)
IAPR Fellow (2006- )
Editor-in-Chief , Inter. J. Automation and Computing (2004 -)
IEEE Fellow (2004- )

Selected Publications

Selected iournal articles
1.Jie Gui, Tongliang Liu, Zhenan Sun, Dacheng Tao and Tieniu Tan, “Fast Supervised Discrete Hashing,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 2, pp. 490-496, 2018.
2.Yunlian Sun, Man Zhang, Zhenan Sun and Tieniu Tan, “Demographic Analysis from Biometric Data: Achievements, Challenges, and New Frontiers,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 40, no. 2, pp. 332-351, 2018.
3.Ran He, Tieniu Tan, Larry Davis and Zhenan Sun, “Learning Structured Ordinal Measures for Video based Face Recognition,” Pattern Recognition, vol. 75, pp. 4-14, 2018.
4.Yan Huang, Wei Wang, Liang Wang and Tieniu Tan, “Conditional High-Order Boltzmann Machines for Supervised Relation Learning,” IEEE Trans. on Image Processing, vol. 26, no. 9, pp. 4297-4310, 2017.
5.Zifeng Wu, Yongzhen Huang, Liang Wang, Xiaogang Wang and Tieniu Tan, “A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 39, no. 2, pp. 209-226, 2017.
6.Fang Zhao, Yongzhen Huang, Liang Wang, Tao Xiang and Tieniu Tan, “Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding,” International Journal of Computer Vision, vol. 119, no. 3, pp. 329-345, 2016.
7.Kaiye Wang, Ran He, Liang Wang, Wei Wang and Tieniu Tan, “Joint Feature Selection and Subspace Learning for Cross-modal Retrieval,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 10, pp. 2010-2023, 2016 .
8.Weiqiang Ren, Kaiqi Huang, Dacheng Tao and Tieniu Tan, “Weakly Supervised Large Scale Object Localization with Multiple Instance Learning and Bag Splitting,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 2, pp. 405-416, 2016.
9.Ran He, Yinghao Cai, Tieniu Tan and Larry S. Davis, “Learning Predictable Binary Codes for Face Indexing,” Pattern Recognition, vol. 48, No. 10, pp. 3160-3168, 2015.
10. Yanhua Cheng, Xin Zhao, Kaiqi Huang and Tieniu Tan, “Semi-supervised Learning and Feature Evaluation for RGB-D Object Recognition,” Computer Vision and Image Understanding, vol. 139, pp. 149-160, 2015.
11. Ran He, Tieniu Tan and Liang Wang, “Robust Recovery of Corrupted Low-RankMatrix by Implicit Regularizers,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 4, pp. 770-783, 2014.
12. Yongzhen Huang, Zifeng Wu, Liang Wang and Tieniu Tan, “Feature Coding in Image Classification: A Comprehensive Study,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 3, pp. 493-506, 2014.
13. Tieniu Tan, Xiaobo Zhang, Zhenan Sun and Hui Zhang, “Noisy Iris Image Matching by Using Multiple Cues,” Pattern Recognition Letters, vol. 33, no. 8, pp. 970–977, 2012.
14. Zhang Zhang, Tieniu Tan and Kaiqi Huang, “An Extended Grammar System for Learning and Recognizing Complex Visual Events,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 33, no. 2, pp. 240-255, 2011.
15. Tieniu Tan, Zhaofeng He and Zhenan Sun, “Efficient and Robust Segmentation of Noisy Iris Images for Non-cooperative Iris Recognition,” Image and Vision Computing, vol. 28, no. 2, pp. 223-230, 2010.
16. Zhenan Sun and Tieniu Tan, “Ordinal Measures for Iris Recognition,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 12, pp. 2211-2226, 2009.
17. Li Ma, Tieniu Tan, Yunhong Wang and Dexin Zhang, “Efficient Iris Recognition by Characterizing Key Local Variations,” IEEE Transactions on Image Processing, vol. 13, no. 6, pp. 739- 750, 2004.
18. T. N. Tan, G. D. Sullivan and K. D. Baker, “Model-Based Localisation and Recognition of Road Vehicles,” International Journal of Computer Vision, vol. 27, no. 1, pp. 5-25, 1998.
19. T. N. Tan, “Rotation Invariant Texture Features and Their Use in Automatic Script Identification,” IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 20, no. 7, pp. 751-756, 1998.
20. T. N. Tan, “Texture Edge Detection by Modelling Visual Cortical Channels,” Pattern Recognition, vol. 28, no. 9, pp. 1283-1298, 1995.

Selected conference articles
1. Yi Li, Lingxiao Song, Xiang Wu, Ran He, Tieniu Tan, “Anti-Makeup: Learning a Bi-Level Adversarial Network for Makeup-Invariant Face Verification,” Proc. AAAI Conference on Artificial Intelligence, February 2018, Louisiana, USA.
2. Qi Li, Zhenan Sun, Ran He and Tieniu Tan, “Deep Supervised Discrete Hashing,” Proc. Conference on Neural Information Processing Systems (NIPS) December 2017, Long Beach, USA.
3. Qiang Liu, Shu Wu, Liang Wang and Tieniu Tan, “Predicting the Next Location: A Recurrent Model with Spatial and Temporal Contexts,” Proc. AAAI Conference on Artificial Intelligence, pp. 194-200, February 2016, Phoenix, USA.
4. Fang Zhao, Yongzhen Huang, Liang Wang and Tieniu Tan, “Deep Semantic Ranking Based Hashing for Multi-Label Image Retrieval,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1556-1564, June 2015, Boston USA.
5. Chong Wang, Weiqiang Ren, Kaiqi Huang and Tieniu Tan, “Weakly Supervised Object Localization with Latent Category Learning,” Proc. European Conference on Computer Vision, pp. 431-445, September 2014, Zurich, Switzerland.
6. Yingya Zhang, Zhenan Sun, Ran He and Tieniu Tan, “Robust Subspace Clustering via Half-Quadratic Minimization,” Proc. IEEE International Conference on Computer Vision, pp. 3096-3103, December 2013, Sydney, Australia.
7. R. He, T. N. Tan, L. Wang and W. S. Zheng, “??2,1 regularized correntropy for robust feature selection,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, pp. 2504-2511, June 2012, USA.
8. Ran He, Zhenan Sun, Tieniu Tan and Wei-Shi Zheng, “Recovery of Corrupted Low-Rank Matrices via Half-Quadratic based Nonconvex Minimization,” Proc. International Conference on Computer Vision and Pattern Recognition, pp. 2889-2896, June 2011, USA.
9. Min Li, Wei Chen, Kaiqi Huang and Tieniu Tan, “Visual Tracking via Incremental Self-tuning Particle Filtering on the Affine Group,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, pp. 1315-1322, June 2010, USA.
10. Zhaofeng He, Tieniu Tan, Zhenan Sun, Xianchao Qiu, Cheng Zhong and Wenbo Dong, “Boosting Ordinal Features for Accurate and Fast Iris Recognition,” Proc. IEEE International Conference on Computer Vision and Pattern Recognition, June 2008, USA.
11. Cheng Zhong, Zhenan Sun and Tieniu Tan, “Robust 3D Face Recognition Using Learned Visual Codebook,” Proc. IEEE International Conference of Computer Vision and Pattern Recognition, June 2007, USA.
12. Shiqi Yu, Daoliang Tan and Tieniu Tan, “A Framework for Evaluating the Effect of View Angle, Clothing and Carrying Condition on Gait Recognition,” Proc. International Conference on Pattern Recognition, pp. 441-444, August 2006, China.
13. Zhenan Sun, Tieniu Tan, Yunhong Wang and Stan Z. Li, “Ordinal Palmprint Representation for Personal Identification,” Proc. IEEE Conference on Computer Vision and Pattern Recognition, vol. 1, pp. 279-284, June 2005, USA.
14. J. Z. Huang, L. Ma and Y. H. Wang and T. N. Tan, “Iris Model Based on Local Orientation Description,” Proc. Asian Conference on Computer Vision, vol. 2, pp. 954-959, January 2004, Korea.
15. Jianguo Zhang and Tieniu Tan, “New Texture Signatures and Their Use in Rotation Invariant Texture Classification,” Proc. European Conference on Computer Vision Texture Workshop, 2002, Denmark.
16. R. Liu and T. Tan, “Content-Based Watermarking Model,” Proc. International Conference on Pattern Recognition, vol. 4, pp. 238-241, September 2000, Spain.
17. S. R. Fountain and T. N. Tan, “Rotation Invariant Texture Features from Gabor Filters,” Proc. Asian Conference on Computer Vision, vol. 2, pp. 57-64, 1998, Hong Kong.
18. T. N. Tan, “Monocular Reconstruction of 3-D Bilateral Symmetrical Objects,” Proc. British Machine Vision Conference, pp. 233-242, 1996, Scotland.
19. T. N. Tan, “Multiple Camera Data Fusion for Accurate Pose and Scale Recovery,” Proc. SPIE, vol. 2484, pp. 330-341, 1995, California, USA.
20. T. N. Tan, G. D. Sullivan and K. D. Baker, “Pose Determination and Recognition of Vehicles in Traffic Scenes,” Proc. European Conference on Computer Vision, pp. 501-506, May 1994, Sweden.
21. T. N. Tan, “Texture Segmentation Approaches: A Brief Review,” Proc. CIE & IEEE International Conference on Neural Networks and Signal Processing, November 1993, Guangzhou, China.
22. T. N. Tan, G. D. Sullivan and K. D. Baker, “Structure from Motion Using the Ground Plane Constraint,” Proc. European Conference on Computer Vision, pp. 277-281, 1992, Italy.
23. T. N. Tan, G. D. Sullivan and K. D. Baker, “Structure from Constrained Motion Using Point Correspondences,” Proc. British Machine Vision Conference, pp. 301-309, 1991, Glasgow, UK.
24. T. N. Tan and A.G. Constantinides, “Texture analysis based on a human visual model,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, pp. 2137–2140, April 1990, Albuquerque, NM, USA.
25. T. N. Tan and A. G. Constantinides, “Texture Feature Extraction Based on Primitive Analysis,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 3, pp. 1683-1686, May 1989, Glasgow, Scotland.
26. T. N. Tan and A. G. Constantinides, “Multi-Slice Image Texture Edge Detection by Local Vector Mapping,” Proc. IEEE International Conference on Acoustics, Speech and Signal Processing, vol. 2, pp. 1136-1139, April 1988, New York, USA.

Selected books
1. Shu Wu, Qiang Liu, Liang Wang and Tieniu Tan, Context-aware Collaborative Prediction: Modeling contextual information for general prediction tasks, Springer Briefs in Computer Science, Springer, 2018.
2. Yongzhen Huang and Tieniu Tan, Feature coding for Image Representation and Recognition, Springer, invited book, 2014
3. Tieniu Tan, Kaiqi Huang, Proceedings of Third Chinese Conference on Intelligent Visual Surveillance, Institute of Electrical and Electronics Engineers (IEEE), 2011.
4. Zhenan Sun, Jianhuang Lai, Xilin Chen, Tieniu Tan, Biometric Recognition, Proceeedings of 6th Chinese Conference on Biometric Recognition, LNCS-7098, Springer, 2011.
5. Jianhua Tao, Tieniu Tan (Eds.), Affective Information Processing, Springer-Verlag, 2008, Germany.
6. Jianhua Tao, Tieniu Tan, Rosalind W. Picard, Affective Computing and Intelligent Interaction, LNCS-3784, Springer-Verlag, 2005, Germany.
7. Mark. S. Nixon, Tieniu Tan and R. Chellappa, Human Identification Based on Gait, Kluwer, 2005, USA.
8. 谭铁牛,智能视觉监控研究进展,科学出版社,2003,北京。
9. T. N. Tan, Y. C. Shi and W.Gao (Editors), Advances in Multimodal Interfaces, LNCS-1948, Springer-Verlag, 2000, Germany.

 
Copyright © Editorial Board of The Center for Research on Intelligent Perception and Computing