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谭铁牛
中国科学院院士，研究员，第十四届全国政协常委
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详细介绍
谭铁牛
中国科学院院士，研究员，第十四届全国政协常委
个人履历：
谭铁牛：男，1963年10月出生，湖南茶陵人，模式识别与计算机视觉专家，中国科学院院士、英国皇家工程院外籍院士、发展中国家科学院院士，教授、博士生导师，南京大学党委书记，中国科学院自动化研究所智能感知与计算研究中心主任，第十四届全国政协常委。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年至1997年在英国雷丁大学计算机科学系工作任教。1998年回国到中科院自动化所工作，曾任中国科学院自动化研究所所长、中国科学院副秘书长、中国科学院副院长、中央人民政府驻香港特别行政区联络办公室副主任。2022年9月，任南京大学党委书记。2023年3月，任第十四届全国政协常委。2023年9月，担任中国侨联副主席。2025年6月，当选为南京大学第十二届委员会委员、常务委员会委员、书记。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。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15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700多篇，获准和申请发明专利160多项。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。先后当选中共十六大、十七大、十八大和十九大党代表。
论文代表：
Model-Independent Object Orientation Determination, IEEE Trans. on Robotics and Automation, vol. 13, no. 4, pp. 602-606, 1997.
Model-Based Localisation and Recognition of Road Vehicles,International Journal of Computer Vision, vol. 27, no. 1, pp. 5-25, 1998.
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.
Efficient Image Gradient-Based Vehicle Localization, IEEE Trans. on Image Processing, vol. 9, no. 8, pp. 1343-1356, 2000.
Introduction to Special Section on Visual Surveillance, International Journal of Computer Vision, vol. 37, no. 2, pp. 173-173, 2000.
Font Recognition Based on Global Texture Analysis, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 23, no. 10, pp. 1192-1200, 2001.
Silhouette Analysis-Based Gait Recognition for Human Identification,IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 25, no. 12, pp. 1505-1518, 2003.
Personal Identification Based on Iris Texture Analysis,IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 25, no. 12, pp.1519-1533, 2003.
Efficient Iris Recognition by Characterizing Key Local Variations, IEEE Trans. on Image Processing, vol. 13, no. 6, pp. 739- 750, 2004.
3-D Model-based Vehicle Tracking, IEEE Trans. on Image Processing, vol. 14, no. 10, pp. 1561-1569, 2005.
Introduction to the Special Issue on Biometrics: Progress and Directions, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 29, no. 4, pp. 513-516 , 2007.
Ordinal Measures for Iris Recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 12, pp. 2211-2226, 2009.
Toward Accurate and Fast Iris Segmentation for Iris Biometrics, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 31, no. 9, pp. 1670-1684, 2009.
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.
Iris Matching Based on Personalized Weight Map, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 33, no. 9, pp. 1744-1757, 2011.
Three-Dimensional Deformable-Model-Based Localization and Recognition of Road Vehicles, IEEE Trans. on Image Processing, vol. 21, no. 1, pp. 1-13, 2012.
A Novel Algorithm for View and Illumination Invariant Image Matching, IEEE Trans. on Image Processing, vol. 21, no. 1, pp. 229-240, 2012.
Robust Recovery of Corrupted Low-Rank Matrix by Implicit Regularizers, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 4, pp. 770-783, 2014.
Iris Image Classification Based on Hierarchical Visual Codebook, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 36, no. 6, pp. 1120-1133, 2014.
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.
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.
Joint Feature Selection and Subspace Learning for Cross-modal Retri, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 38, no. 10, pp. 2010-2023, 2016.
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.
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.
Conditional High-Order Boltzmann Machines for Supervised Relation Learning, IEEE Trans. on Image Processing, vol. 26, no. 9, pp. 4297-4310, 2017.
Image Forensics Based on Planar Contact Constraints of 3D Objects,IEEE Trans. on Information Forensics and Security, vol. 13, no. 2, pp. 377-392, 2018.
Wavelet Domain Generative Adversarial Network for Multi-scale Face Hallucination, International Journal of Computer Vision, vol. 127, no. 6-7, pp. 763-784, 2019.
Aggregating Randomized Clustering-Promoting Invariant Projections for Domain Adaptation, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 41, no. 5, pp. 1027-1042, 2019.
Wasserstein CNN: Learning Invariant Features for NIR-VIS Face Recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 41, no. 7, pp. 1761-1773, 2019.
Feedback Convolutional Neural Network for Visual Localization and Segmentation, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 41, no. 7, pp. 1627-1640, 2019.
Adversarial Cross-Spectral Face Completion for NIR-VIS Face Recognition, IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), vol. 42, no. 5, pp. 1025-1037, 2020.
Disentangled Representation Learning of Makeup Portraits in the Wild, International Journal of Computer Vision, vol. 128, no. 8-9, pp. 2166-2184, 2020.
著作代表：
《人工智能：用AI技术打造智能化未来》，主编：谭铁牛，中国科学技术出版社2019年08月出版。
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