Tong

Professor Tong's research interests focus on computer vision and pattern recognition especially on human computer interaction including but not limited to:

• Affective computing (facial activity analysis and eye gaze tracking)
• Statistical shape modeling and their applications in face image interpretation and medical image analysis
• Probabilistic graphical models and their applications in computer vision including modeling, reasoning, information fusion, and learning under uncertainty.

Education

• Ph. D., Rensselaer Polytechnic Institute (2007)
• M. S., University of Nevada, Reno (2004)
• B. S., Zhejiang University (1997)

Selected Publications

• Yan Tong, Wenhui Liao, and Qiang Ji, "Facial Action Unit Recognition by Exploiting Their Dynamic and Semantic Relationships", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 29, No. 10, pp. 1683-1699, October 2007.
• Yan Tong, Yang Wang, Zhiwei Zhu, and Qiang Ji, "Robust Facial Feature Tracking under Varying Face Pose and Facial Expression", Pattern Recognition, Vol. 40, No. 11, pp. 3195-3208, November 2007.
• Yan Tong, Jixu Chen, and Qiang Ji, "A Unified Probabilistic Framework for Spontaneous Facial Action Modeling and Understanding", IEEE Transactions on Pattern Analysis and Machine Intelligence (PAMI), Vol. 32, No. 2, pp. 258-273, February 2010.
• Xiaoming Liu, Yan Tong, Frederick W. Wheeler, and Peter Tu, "Simultaneous Clustering and Alignment for an Image Ensemble", the twelfth IEEE International Conference on Computer Vision (ICCV09), Kyoto, September, 2009.
• Yan Tong, Xiaoming Liu, Frederick W. Wheeler, and Peter Tu, "Automatic Facial Landmark Labeling with Minimal Supervision", IEEE Conference on Computer Vision and Pattern Recognition (CVPR09), Miami, June, 2009.