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IPAM Graduate Summer School: Computer Vision

This is a program of the NSF-supported Institute for Pure and Applied Mathematics at UCLA. The summer school will involve leaders from Computer Vision and experts from Mathematics, Statistics, Engineering and Computer Science who are interested in Vision. Computer Vision is a rapidly developing interdisciplinary field with an increasing number of practical applications. Techniques include filtering, geometry, differential equations, harmonic analysis, probabilistic methods, machine learning, and many more. The school will describe real world applications and discuss interactions with related disciplines such as image processing, machine learning, and biological vision.
When 22 July 2013 04:05 PM to
09 August 2013 04:05 PM
Where Los Angeles CA USA
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Ronen Basri (Weizmann Institute of Science) 
Yuri Boykov (University of Western Ontario) 
Jason Corso (SUNY Buffalo) 
Daniel Cremers (Technische Universtitat München) 
Rob Fergus (New York University, Canadian Institute for Advanced Research) 
William Freeman (Massachusetts Institute of Technology) 
Don Geman (Johns Hopkins University, Applied Mathematics and Statistics) 
David Gu (SUNY Stony Brook) 
Martial Hebert (Carnegie-Mellon University, The Robotics Institute) 
Bruno Jedynak (Johns Hopkins University) 
Iasonas Kokkinos (École Centrale de Paris) 
Fei Fei Li (Stanford University) 
Yi Ma (University of Illinois at Urbana-Champaign) 
Mila Nikolova (École Normale Supérieure de Cachan) 
Stanley Osher (University of California, Los Angeles (UCLA)) 
Deva Ramanan (University of California, Irvine (UCI)) 
Anand Rangarajan (University of Florida) 
Fei Sha (University of Southern California (USC)) 
Stefano Soatto (University of California, Los Angeles (UCLA), Computer Science) 
Richard Szeliski (Microsoft Research) 
Sinisa Todorovic (Oregon State University) 
Zhuowen Tu (University of California, Los Angeles (UCLA), School of Medicine) 
Raquel Urtasun (Toyota Technological Institute at Chicago) 
Lieven Vandenberghe (University of California, Los Angeles (UCLA), EE) 
John Wright (Columbia University) 
Yingnian Wu (University of California, Los Angeles (UCLA), Statistics) 
Alan Yuille (University of California, Los Angeles (UCLA))

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