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Yanghai Tsin, Ph.D.

Affiliations: 
Carnegie Mellon University, Pittsburgh, PA 
Area:
computer vision
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"Yanghai Tsin"
Mean distance: 27.6 (cluster 15)
 
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Takeo Kanade grad student 2003 Carnegie Mellon
 (Kernel correlation as an affinity measure in point -sampled vision problems.)

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Publications

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Li Y, Tsin Y, Genc Y, et al. (2008) Flexible edge arrangement templates for object detection 2008 Ieee Workshop On Applications of Computer Vision, Wacv
Tsin Y, Kang SB, Szeliski R. (2006) Stereo matching with linear superposition of layers. Ieee Transactions On Pattern Analysis and Machine Intelligence. 28: 290-301
Li Y, Tsin Y, Genc Y, et al. (2006) Statistical shape models for object recognition and part localization Bmvc 2006 - Proceedings of the British Machine Vision Conference 2006. 699-708
Li Y, Tsin Y, Genc Y, et al. (2005) Object detection using 2D spatial ordering constraints Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2: 711-718
Liu Y, Tsin Y, Lin WC. (2005) The promise and perils of near-regular texture International Journal of Computer Vision. 62: 145-159
Tsin Y, Kanade T. (2004) A correlation-based approach to robust point set registration Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). 3023: 558-569
Tsin Y, Kanade T. (2004) A correlation-based model prior for stereo Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I135-I142
Tsin Y, Kang SB, Szeliski R. (2003) Stereo matching with reflections and translucency Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I/702-I/709
Tsin Y, Collins RT, Ramesh V, et al. (2001) Bayesian color constancy for outdoor object recognition Proceedings of the Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 1: I1132-I1139
Tsin Y, Ramesh V, Kanade T. (2001) Statistical calibration of CCD imaging process Proceedings of the Ieee International Conference On Computer Vision. 1: 480-487
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