Visual Professors in Global

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Brittany Travers
University of Wisconsin–Madison United States of America
visual-motor integration
visual hyper-sensitivity
visual hypo-sensitivity
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Deborah Orel-bixler
University of California, Berkeley United States of America
visual assessment in special needs
visual evoked potentials
vision screening
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David Brainard
University of Pennsylvania United States of America
human vision
visual neuroscience
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Johannes Burge
University of Pennsylvania United States of America
visual processing
human vision
visual neuroscience
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David Whitney
University of California, Berkeley United States of America
visual localization
visual impairments
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Elise Savier
University of Michigan United States of America
visual neuroscience
visual system development
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Iris Wiegand
Radboud University Netherlands
visual attention
visual long-term memory
visual short-term memory
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Freddy Kamps
University of Edinburgh United Kingdom
human vision
visual scene perception
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Shireen Walton
University of Oxford United Kingdom
visual anthropology
digital-visual methods
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Steven Shevell
University of Chicago United States of America
human vision
color vision
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John Mollon
University of Cambridge United Kingdom
visual perception
visual neuroscience
color vision
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Steven Franconeri
Northwestern University United States of America
visual thinking communication
visual data communication
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Anna Kosovicheva
University of Toronto Canada
visual perception
visual impairments
spatial vision
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Alisa Turbic
University of Melbourne Australia
visual function assessment
vision impairment
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Ted Maddess
Australian National University Australia
visual field testing
texture vision
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Paul Azzopardi
University of Oxford United Kingdom
visual illusions
visual perception
visual motion perception
visual neglect
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Neil Parry
University of Manchester United Kingdom
visual perception
visual evoked potentials
color vision
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Manmohan Chandraker
University of California, San Diego United States of America
computer vision
graphics-based vision
vision robotics
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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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Nansi Colley
University of Wisconsin–Madison United States of America
visual health
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Filiz Yesilkoy
University of Wisconsin–Madison United States of America
visual health
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