[2019-09-23] Dr. Tao Mei, AI Research of JD.COM, "From Research to Products: Empowering Retailing Experiences with Computer Vision"

Poster:Post date:2019-09-10

From Research to Products: Empowering Retailing Experiences with Computer Vision
Date: 2019-09-23 4:00pm-5:10pm
Location: R210, CSIE
Speaker: Dr. Tao Mei, AI Research of JD.COM
Hosted by: Prof. Winston Hsu


Since computer vision was founded in 1960s, researchers have been dreaming of enabling a machine to describe what it sees. Recent development of deep learning has significantly boosted computer vision research. It is said that now computer vision can empower a 5-year-old human visual system. In this talk, we will introduce recent computer vision techniques for visual recognition, and how we can apply these innovative techniques to transform the retailing experiences.
Tao Mei is a Technical Vice President of JD.COM and the Deputy Managing Director of JD AI Research, where he also serves as the Director of Computer Vision and Multimedia Lab. His lab is focusing on the research, development, and innovation of computer vision and multimedia, with a broad range of applications in retail, logistics, cloud computing, as well as fashion and user experience. Prior to joining JD.com in 2018, he was a Senior Research Manager with Microsoft Research Asia in Beijing, China, where he has shipped over 20 inventions and technologies to Microsoft products and services. He has authored or co-authored over 200 publications (with 12 best paper awards and over 11,000 citations) in journals and conferences. He is or has been an Editorial Board Member of IEEE Trans. on Image Processing, IEEE Trans. on Circuits and Systems for Video Technology, IEEE Trans. on Multimedia, ACM Trans. on Multimedia, Pattern Recognition, etc. Tao received B.E. and Ph.D. degrees from the University of Science and Technology of China, Hefei, China, in 2001 and 2006, respectively. He was elected as a Fellow of IEEE (2019), a Fellow of IAPR (2016), a Distinguished Scientist of ACM (2016), and a Distinguished Industry Speaker of IEEE Signal Processing Society (2017), for his contributions to large-scale multimedia analysis and applications.
Last modification time:2019-09-10 AM 10:59

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