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CNN Architecture Design: from Deeper to Wider

Release time:June 2, 2017 / 何锶颖

Topic:CNN Architecture Design: from Deeper to Wider    

Speaker:Jingdong Wang    

Date:3:00- 4:00 PM June 5, 2017    

Venue:Conference Room 416, Yifu Scientific Center    

 

Abstract:    

In this talk, I will introduce a deep neural network design pattern, deep fusion. The resulting network, called deeply-fused net, is a multi-path, multi-scale, weight shared net with express ways between layers. Then, I present two deep fusion methods with improved parameter and computation efficiency. One is based on merge-and-run mappings, which improve the ResNets by going wider but less deep. The other one is primal-dual group convolution (PDGC). It is more efficient in parameter and computation than Xception and regular convolutions, which, we show, are special instances of our approach PDGC. I point out that going wider is another direction for CNN architecture design.    

 

Bio of the Speaker:    

Jingdong Wang is a Lead Researcher at the Internet Media Group, Microsoft Research Asia. His areas of interest include computer vision, multimedia, and machine learning. At present, he is mainly working on deep learning, human understanding, person re-identification, image recognition, and indexing and compact coding for large scale similarity search. He has published 100+ papers in top conferences and prestigious international journals, such as CVPR, ICCV, ACMMM, ICML, SIGIR, TPAMI, IJCV, and so on, and one book. His paper was selected into the best paper finalist at ACMMM 2015. He has shipped a dozen of technologies to Microsoft products, including Bing image search, Cognitive service, and XiaoIce Chatbot.    

He has served/will serve as an associate editor for TMM, an area chair in AAAI 2018, ICCV 2017, ICIP 2017, CVPR 2017, ECCV 2016, ACMMM 2015 and ICME 2015, a track chair in ICME 2012, a special session chair in ICMR 2014, and a program committee member or a reviewer in top conferences and journals, including CVPR, ICCV, ACMMM, NIPS, SIGIR, SIGGRAPH, TPAMI, IJCV.    

 

School of Biological Science and Medical Engineering

 

 

 

 

 

June 1, 2017