机器视觉课题组

模式识别国家重点实验室

中国科学院自动化研究所

唐明

研究员

Email: tangm@nlpr.ia.ac.cn
电话: 010-62527720
传真: 010-62551993

教育背景和工作经历

唐明,1984年在浙江大学计算机系获学士学位,1987年在浙江大学计算机系获硕士学位,2002年在中科院自动化所获得博士学位。1987年至今在模式识别国家重点实验室工作,现任研究员,博士生导师。

获奖情况

  1. 中科院院长奖学金特别奖,2002
  2. 全国百篇优秀博士论文提名奖,2004

研究领域

目标检测、识别与跟踪,图像与视频处理,视觉监视,模式识别,机器学习。

代表性论文

  1. Ming Tang, Jiayi Feng, Multi-kernel Correlation Filter for Visual Tracking, ICCV, 2015. [PDF] [Results on OTB 50] [Codes]
  2. Bin Tian, Brendan Tran Morris, Ming Tang, Yuqiang Liu, Yanjie Yao, Chao Gou, Dayong Shen, Shaohu Tang, Hierarchical and Networked Vehicle Surveillance in ITS : A Survey, IEEE Transactions on Intelligent Transportation Systems, Vol.16, No.2, 2015.
  3. Bin Tian, Ming Tang, and Feiyue Wang, Vehicle Detection Grammars with Partial Occlusion Handling for Traffic Surveillance, Transportation Research Part C, Vol.56, pp.80-93, 2015.
  4. Yancheng Bai and Ming Tang, Object Tracking via Robust Multitask Sparse Representation, IEEE Signal Processing Letters, Vol.21, No.8, 2014.
  5. Yancheng Bai and Ming Tang, Robust Visual Tracking via Augmented Kernel SVM, Image and Vision Computing, 2014.
  6. Ming Tang and Xi Peng, “Robust tracking with discriminative ranking lists”, IEEE Trans. Image Processing, Vol.21, No.7, pp3273-3281, 2012. [Codes]
  7. Zhenfeng Zhu, Ming Tang and Hanqing Lu, “A New Robust Circular Gabor Based Object Matching by Using Weighted Hausdorff Distance,” PR Letters, Vol.25, Iss.4, pp515-523, 2004.
  8. Ming Tang and Songde Ma, “General Scheme of Region Competition Based on Scale Space,” IEEE Trans. Pattern Analysis and Machine Intelligence, Vol.23, No.12, pp1366-1378, 2001.
  9. Ming Tang, Songde Ma and Jing Xiao, “Model-based Adaptive Enhancement of Far Infrared Image Sequences,” PR Letters, Vol.21, Iss.9, pp.827-835, 2000.
  10. Yancheng Bai and Ming Tang, “Robust tracking via weakly supervised ranking SVM”, CVPR, 2012. [Codes (pure C++) (C++ plus Matlab)]
  11. Jing Zhang, Duowen Chen, and Ming Tang, “Combining Discriminative and Descriptive Models for Tracking,” ACCV, 2009. (oral)
  12. Yi Ouyang, Ming Tang, Jinqiao Wang, Hanqing Lu, and Songde Ma, “Boosting Relative Spaces for Categorizing Objects,” ACM MM, 2008.
  13. Kai Zhang, James Kwow, and Ming Tang, “Accelerated Convergence Using Dynamic Mean Shift,” ECCV, 2006.
  14. Kai Zhang and Ming Tang, “Applying Neighborhood Consistency for Fast Clustering and Kernel Density Estimation,” CVPR, 2005.