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个人简介
My research interest and curiosity mainly reside in computational vision and machine learning, which aim to answer two fundamental questions in the vision science via the computating machinery: what are the principled ways to represent the huge variability of visual phenomena around us; and how to recover the latent governing factors, their relationships, and the associated structures underneath that produce such a magnificent visual world. Specifically, I have been focusing on statistical treatments for (1) discriminative and generative models with latent variables (e.g., dynamical systems, recurrent architectures); (2) sequential signal modeling and prediction; and (3) human behavior, activity and event analysis in video. Most of these research works have been documented in the format of peer-reviewed academic publications. Most of my research works at graduate school were supported by grants from the National Foundation of Science (NSF) .
研究兴趣
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International Journal of Computer Visionno. 2 (2016): 334-370
2016 IEEE Conference on Computer Vision and Pattern Recognition (CVPR)pp.1951-1960, (2016)
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCEno. 1 (2014): 18-32
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