2016-11-29
浏览次数：1731报告题目： Image restoration: From sparsity prior, low-rank prior to deep priors
报 告 人：Prof. Lei ZHANG from Hong Kong Poly. Univ.
报告时间：2016年12月4日（星期日）上午10:30
报告地点：教学楼30号楼632会议室
欢迎广大师生参加。
电子与信息学院
2016年11月29日
报告摘要
Image restoration is one fundamental problem in low-level vision, while prior modeling and learning are key issues to the image restoration performance. By assuming that images can be sparsely represented over pre-defined or learned dictionaries, sparse representation and dictionary learning methods have been very popular in image restoration. By stacking image nonlocal similar patches into a matrix and imposing low-rank prior on it, rank minimization methods have also achieved a great success in image restoration. Recently, it has been found more effective prior models can be learned via training a deep convolutional neural network. In this talk, we will introduce our work and findings on sparse representation, low-rank analysis and deep learning with their application to image restoration.
报告人简历
Lei Zhang (M’04, SM’14)received his B.Sc. degree in 1995 from Shenyang Institute of Aeronautical Engineering, Shenyang, P.R. China, and M.Sc. and Ph.D degrees in Control Theory and Engineering from Northwestern Polytechnical University, Xi’an, P.R. China, respectively in 1998 and 2001, respectively. From 2001 to 2002, he was a research associate in the Department of Computing, The Hong Kong Polytechnic University. From January 2003 to January 2006 he worked as a Postdoctoral Fellow in the Department of Electrical and Computer Engineering, McMaster University, Canada. In 2006, he joined the Department of Computing, The Hong Kong Polytechnic University, as an Assistant Professor. Since July 2015, he has been a Full Professor in the same department. His research interests include Computer Vision, Pattern Recognition, Image and Video Processing, and Biometrics, etc. Prof. Zhang has published more than 200 papers in those areas. As of 2016, his publications have been cited more than 20,000 times in the literature. Prof. Zhang is an Associate Editor of IEEE Trans. on Image Processing, SIAMJournal of ImagingSciences and Image and Vision Computing, etc. He is a Highly Cited Researcher selected by Thomson Reuters. More information can be found in his homepage http://www4.comp.polyu.edu.hk/~cslzhang/.