With the exponential growth of e-commerce, online clothing shopping becomes more and more popular, which takes up a significant portion of the retail. Driven by the huge profit potential, clothing item retrieval has been received a great deal of attention in multimedia and computer vision communities. Meanwhile, deep learning has shown its promising ability in many fields of computer science, such as computer vision, natural language processing and multimedia. In this talk, we will push the frontier of fashion search and recommendation by bringing together techniques from computer vision and deep learning. We seeks to advance fashion studies and techniques, including fashion search, clothing image generation and fashion recommendation.
Xiao Wu is a Professor at Southwest Jiaotong University, Chengdu, China. He is the Assistant Dean of School of Information Science and Technology, and the Head of Department of Computer Science and Technology. He received the B.Eng. and M.S. degrees in computer science from Yunnan University, Yunnan, China, in 1999 and 2002, respectively, and the Ph.D. degree in Computer Science from City University of Hong Kong, Kowloon, Hong Kong in 2008. He was with the Institute of Software, Chinese Academy of Sciences, Beijing, China, from 2001 to 2002. He was a Research Assistant and a Senior Research Associate at the City University of Hong Kong from 2003 to 2004, and 2007 to 2009, respectively. From 2006 to 2007, he was with the School of Computer Science, Carnegie Mellon University, Pittsburgh, PA, USA, as a Visiting Scholar, and at School of Information and Computer Science, University of California, Irvine, CA, USA as a Visiting Associate Professor during 2015 to 2016. He received the second prize of Natural Science Award of the Ministry of Education, China in 2015. His research interests include multimedia information retrieval, image/video computing, and data mining.