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PRODID:-//Memento EPFL//
BEGIN:VEVENT
SUMMARY:AI-powered Multimedia System
DTSTART:20240205T160000
DTEND:20240205T164500
DTSTAMP:20260407T131627Z
UID:1b3054dafdc2b4f81c78d58586ac24631d5bec7f752a32671d826ba8
CATEGORIES:Conferences - Seminars
DESCRIPTION:Feng Yang\nAbstract: How to identify\, create and serve high q
 uality content efficiently and responsibly is critical for the success of 
 multimedia systems or products. A typical multimedia system contains media
  quality assessment\, enhancement\, editing\, watermarking and compression
 . In this presentation\, Feng will talk about his recent work at Google Re
 search on using AI to improve each of the components of multimedia systems
 .\n\nBio: Feng Yang is a Senior Staff Software at Google Research\, where 
 he leads the AIM Engine Team. His research interests include content under
 standing and creation\, watermarking\, compression\, computational photogr
 aphy. Feng received the B. Eng. and M. Eng. degrees in automatic control 
 from Tsinghua University. He won the Outstanding master thesis of Tsinghua
  University. He got Ph.D. degree in communication systems at EPFL. He won 
 the Fritz Kutter Award for best PhD thesis. He was a postdoctoral research
 er at the Robotics Institute\, CMU. Feng is Associate Editor of IEEE Tran
 sactions on Computational Imaging\, IEEE Transactions on Image Processing 
 and Area Chair of ICLR 2024. He was an Area Chair of CVPR 2020.
LOCATION:BC420
STATUS:CONFIRMED
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