Visual Processes Professors in Global

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Jitendra Malik
University of California, Berkeley United States of America
motion processing
computer vision
human vision
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Sascha Schneider
University of Zurich Switzerland
cognitive processes
emotional processes
social processes
metacognitive processes
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David Morris
University of Manchester United Kingdom
real-time video processing
computer vision
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Jia Deng
Princeton University United States of America
vision & graphics
computer vision
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Julian Kooij
Delft University of Technology Netherlands
visual localization
computer vision
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Seyran Khademi
Delft University of Technology Netherlands
visual data
visual similarity learning
computer vision
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Takeo Kanade
Carnegie Mellon University United States of America
computer vision
visual media technology
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Victor Solo
University of New South Wales Australia
computer vision
point processes
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Michael Maire
University of Chicago United States of America
computer vision
visual representation learning
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Benoit Chachuat
Imperial College London United Kingdom
chemical processes
biological processes
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Michael Follows
Massachusetts Institute of Technology United States of America
chemical processes
biological processes
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David Whitney
University of California, Berkeley United States of America
visual localization
visual impairments
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Guillermo Sapiro
Duke University Singapore
image video processing
computer vision
mathematical image processing
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Olga Veksler
University of Waterloo Canada
computer vision
visual correspondence
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Francis Engelmann
Università della Svizzera italiana Switzerland
computer vision
geometric visual computing
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Marcelo Nicolela
Dalhousie University Canada
visual outcome
visual field progression
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Rama Chellappa
Johns Hopkins University United States of America
computer vision
image signal processing
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Mehrtash Harandi
Monash University Australia
computer vision
image signal processing
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Nizar Bouguila
Concordia University Canada
computer vision
image signal processing
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John Tsotsos
York University Canada
computer vision
human vision
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Fei-fei Li
Stanford University United States of America
computer vision
human vision
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