Visual Input Professors in Global

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Yidan Zhang
Monash University Australia
energy visualisation
multidimensional data visualisation
human computer interaction
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Kristen Grauman
University of Texas at Austin United States of America
visualization
visual recognition
computer vision
graphics
first-person vision
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Seyran Khademi
Delft University of Technology Netherlands
visual data
computer vision
quantitative visual analysis
visual similarity learning
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Takeo Kanade
Carnegie Mellon University United States of America
visual media technology
computer vision
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Takeo Kanade
Carnegie Mellon University United States of America
visual multimedia technology
computer vision
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Manmohan Chandraker
University of California, San Diego United States of America
graphics-based vision
computer vision
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Julian Kooij
Delft University of Technology Netherlands
computer vision
visual localization
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Guillermo Sapiro
Duke University Singapore
computer vision
computational vision
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Elizabeth Zavitz
Monash University Australia
computer vision
vision
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Jonathan Kofman
University of Waterloo Canada
computer vision
vision
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Kavita Bala
Cornell University Netherlands
computer vision
visual search detection
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Michael Jenkin
York University Canada
computer vision
immersive displays
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Michael Jenkin
York University Canada
computer vision
immersive displays
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Andrea Tagliasacchi
Simon Fraser University Canada
computer vision
3d visual perception
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Kalle Åström
Lund University Sweden
computer vision
cognitive vision
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Robert Laganière
University of Ottawa Canada
visual surveillance
computer vision
embedded vision
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Daniel Aliaga
Purdue University United States of America
computer vision
urban visual computing
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Edward Adelson
Massachusetts Institute of Technology United States of America
computational vision
visual psychophysics
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Steven Franconeri
Northwestern University United States of America
visual data communication
visual thinking communication
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Yuke Zhu
University of Texas at Austin United States of America
computer vision
interactive perception
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Roberto Cipolla
University of Cambridge United Kingdom
computer vision
visually guided robotics
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