TCE Viterbi Special Guest Lecture

Prof. C.-C. Jay Kuo
October, 11, 2018
in Room 861 Electrical Eng. Building Technion City

You are invited to attend a lecture by
Distinguished Professor C.-C. Jay Kuo
USC Viterbi School of Engineering
University of Southern California
Unveil Convolutional Neural Networks (CNNs) and Go Beyond
The superior performance of Convolutional Neural Networks (CNNs) has been demonstrated in many applications such as image classification, detection and processing. Yet, CNN’s working principle remains a mystery. In this talk, I will shed light on the underlying operational principle of a CNN using an interpretable initialization method. The roles of convolutional operations, the bias term, max pooling, convolutional layers and fully connected layers can be well explained by this initialization method. Furthermore, it gives an amazing result without any backpropagation. The backpropagation is used to finetune the initial result. To go further, I will present a new methodology based on the second-order statistics of input image pixels for object recognition and image processing tasks. Finally, the CNN and the new second-order statistics approaches will be compared.
Speaker’s Biography 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 Distinguished Professor of Electrical Engineering and Computer Science. His research interests are in the areas of media processing, compression and understanding. 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 received the 1992 National Science Foundation Young Investigator (NYI) Award, the 1993 National Science Foundation Presidential Faculty Fellow (PFF) 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. Dr. Kuo is a Fellow of AAAS, IEEE and SPIE. He has guided 145 students to their Ph.D. degrees and supervised 27 postdoctoral research fellows. Dr. Kuo is a co-author of 260 journal papers, 900 conference papers and 14 books.
The visit of Distinguished Prof. Jay Kuo is sponsored by the TCE Rubinger/Viterbi Fund.