- 谭铁牛
- 院士
简 历：
个人主页：http://cripac.ia.ac.cn/CN/column/item83.shtml
联系方式： 电子邮件：tnt at nlpr.ia.ac.cn 联系电话：010-82544587 通信地址：北京市海淀区中关村东路95号智能化大厦 邮政编码：100190
个人简介： 谭铁牛，研究员，博士生导师。1984年获西安交通大学学士学位，1986年和1989年分别获英国帝国理工学院硕士与博士学位。1989-1997年在英国雷丁大学计算机科学系工作任教。1998年回国到中国科学院自动化所工作，历任该所所长助理、所长、模式识别国家重点实验室主任、中国科学院副秘书长、中国科学院副院长。现为中央人民政府驻香港特别行政区联络办公室副主任、智能感知与计算研究中心主任。2013年当选中国科学院院士、2014年当选英国皇家工程院外籍院士和发展中国家科学院（TWAS）院士，2016年当选巴西科学院通讯院士。 谭铁牛博士主要从事图像处理、计算机视觉和模式识别等相关领域的研究工作，目前的研究主要集中在生物特征识别、图像视频理解和信息内容安全等三个方向。他主持过一批由国家基金委、国家杰出青年基金、国家973计划、863计划、国际合作计划等资助的科研项目。现已出版编（专）著14部并在主要的国内外学术期刊和国际学术会议上发表论文600多篇，获准和申请发明专利100多项。他现为中国人工智能学会副理事长、中国图象图形学学会理事长。现为或曾为国际权威期刊《IEEE Transactions on Pattern Analysis and Machine Intelligence》、《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》等国际学术刊物的编委、《自动化学报》和《International Journal of Automation and Computing》主编。他曾为IEEE生物识别理事会主席，是电子电气工程师学会（IEEE）的Fellow、国际模式识别学会（IAPR）的Fellow、IAPR-IEEE国际生物识别学术会议（ICB）创始主席（Founding Chair）、亚洲模式识别学术会议（ACPR）创始主席、国际模式识别学会生物识别技术委员会创始主席。他曾获中国青年五四奖章、中国青年科技奖以及国家自然科学二等奖、国家技术发明二等奖和国家科技进步二等奖各1项。
研究领域：
图像处理、计算机视觉和模式识别 生物特征识别、图像视频理解和信息内容安全
学术任职：
中国图象图形学学会理事长，2016- 中国人工智能学会副理事长，2010- IET Image Processing编委，2008- 国际模式识别学会（IAPR）会士，2006- 国际电子电气工程师学会（IEEE）会士，2004- Inter. J. Automation and Computing主编，2004-
所获奖励：
2018年 CCF YOCSEF 二十周年最具推动力主席奖 2017年 萨里大学荣誉博士 2016年 巴西科学院通讯院士 2014年 发展中国家科学院（TWAS）院士 2014年 英国皇家工程院外籍院士 2013年 中国科学院院士 2011年 中国科学院优秀指导教师奖 2011年 国家科技进步 二等奖 面向安全监控的视频内容理解技术与应用 2011年 Pascal voc竞赛检测项冠军，分类项亚军 2010年 Pascal voc竞赛检测项冠军，分类项亚军 2010年 NICE.II虹膜识别国际算法竞赛第一名 2010年 第二届北京市发明专利奖 二等奖 一种基于规则的全天候智能视频分析监控方法 2009年 第十一届中国专利奖 优秀奖 基于虹膜斑块形状的身份识别方法 2009年 NICE.I虹膜识别国际算法竞赛第一名 2008年 北京市科学技术奖 三等奖 实时智能视频监控预警系统及应用 2007年 IAPR最佳论文奖 2006年 IAPR最佳论文奖 2006年 中国青年科技奖 2005年 国家技术发明奖 二等奖 虹膜图像获取与识别技术 2004年 北京市科学技术奖 三等奖 数字水印技术及其在版权保护和多媒体安全中的应用 2004年 国家自然科学奖 二等奖 视觉计算理论与算法研究 2003年 海外归国人员国家成就奖 2000年 国家杰出青年奖 1996年 最佳论文奖 英国机器视觉会议
代表论著：
部分期刊论文
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.
部分会议论文
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.
部分著作
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.
