题目: Deep Learning for Image Processing

报告人: Xiaoyong Shen, Chinese University of Hong Kong

时间：12月29日 星期四09:45-11:15

地点：1218

摘要: Recently, convolutional neural networks (CNNs) achieved success in image processing areas as a regression tool. In this talk, I will first review the recently developed image processing techniques using CNNs. Then, a new CNNs framework named convolutional neural pyramid (CNNs) based on our new observations will be introduced.

报告人简介: Xiaoyong Shen is a postdoctoral fellow in the Chinese University of Hong Kong. He got the Ph.D. degree in Computer Science and Engineering Department in the Chinese University of Hong Kong in 2016. His supervisor is Prof. Jiaya Jia. Before that, He received the B. S. degree in Computational Mathematics and M. S. degree in Applied Mathematics from Zhejiang University in 2010 and 2012 respectively, under the supervision of Prof. Ligang Liu. His research interest includes computer graphics and computer vision.