报告题目： Big Visual Data Analytics and Deep Learning
报告人：Prof. C.-C. Jay Kuo (University of Southern California)
报告地点： 外国语学院报告厅
报告内容：In the first part of this talk, I will introduce two very large image databases that are available to academic researchers. The first one is the ImageNet, which consists of 1.4 million object images. It is widely used for performance benchmarking of object classification and detection techniques. The second one is the Places database, which consists of 2.4 million scene images. It is used for performance evaluation of scene understanding algorithms. The availability of these large-scale databases enable the rapid development of the Convolutional Neural Network (CNN) and deep learning technology in recent years. The deep learning technology offers superior performance in many computer vision and image processing applications. In the second part of this talk, I will share our experience and shed light on its superior performance. In particular, I will present a filter theory to the understanding of CNN and the design of more effective CNN.
报告人介绍：
Dr. C.-C. Jay Kuo received his Ph.D. degree from the Massachusetts Institute of Technology in 1987. He is now with the University of Southern California (USC) as Director of the Media Communications Laboratory and Dean’s Professor in Electrical Engineering-Systems. His research interests are in the areas of digital media processing, compression, communication and networking technologies. Dr. Kuo was the Editor-in-Chief for the IEEE Trans. on Information Forensics and Security in 2012-2014. He was the Editor-in-Chief for the Journal of Visual Communication and Image Representation in 1997-2011, and served as Editor for 10 other international journals. Dr. Kuo has guided 136 students to their Ph.D. degrees and supervised 26 postdoctoral research fellows. He is a co-author of about 250 journal papers, 900 conference papers and 14 books. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE.
Dr. Kuo received the 1992 National Science Foundation Young Investigator (NYI) Award, the 1993 National Science Foundation Presidential Faculty Fellow (PFF) Award, the 1994 USC Northrop Junior Faculty Research Award, the 2007 Okawa Foundation Research Award, the 2010 Electronic Imaging Scientist of the Year Award, the 2010-11 Fulbright-Nokia Distinguished Chair in Information and Communications Technologies, the 2011 Pan Wen-Yuan Outstanding Research Award, the 2014 USC Northrop Grumman Excellence in Teaching Award, the 2016 USC Associates Award for Excellence in Teaching, the 2016 IEEE Computer Society Taylor L. Booth Education Award, the 2016 IEEE Circuits and Systems Society John Choma Education Award, the 2016 IS&T Raymond C. Bowman Award and the 2017 IEEE Leon K. Kirchmayer Graduate Teaching Award.
