Eye Tracking Professors in Global

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Allison Sekuler
McMaster University Canada
visual perception
object recognition
motion perception
pattern vision
face recognition
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Sankaran Iyer
University of New South Wales Australia
tracking
object detection
computer vision
pedestrian detection
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Austin Roorda
University of Waterloo Canada
eye tracking
eye movements
eye disease
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Hilary Pearson
Dalhousie University Canada
eye tracking technology
ocular metrics
eye movement deficits
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Simone Frintrop
University of Hamburg Germany
visual tracking
visual attention
computer vision
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Du Huynh
University of Western Australia Australia
visual tracking
object detection
computer vision
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Bastian Leibe
RWTH Aachen University Germany
tracking
object detection
computer vision
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Jorge Otero-millan
University of California, Berkeley United States of America
eye movement recording
visual perception
motion perception
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Maria Amer
Concordia University Canada
object tracking
object detection
computer vision
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Jonas Nielsen
Technical University of Denmark Denmark
tracking
computer vision
vision-based target detection
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Computer Vision
RWTH Aachen University Germany
tracking
computer vision
visual object recognition
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John-ross Rizzo
New York University Tandon School of Engineering United States of America
eye movements
eye-hand coordination
visual impairment
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Johnross Rizzo
New York University United States of America
eye movements
eye-hand coordination
visual impairment
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Anna Kosovicheva
University of Toronto Canada
eye movements
visual perception
vision research
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Jonathan Cant
University of Toronto Canada
visual attention
visual perception
object perception
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David Whitney
University of California, Berkeley United States of America
visual perception
object recognition
motion perception
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Marina Orio
University of Wisconsin–Madison United States of America
optical observations
ultraviolet observations
x-ray observations
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Thomas Albright
University of California, San Diego United States of America
visual perception
motion perception
visual sensitivity
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
computer vision
face recognition
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John Canny
University of California, Berkeley United States of America
computer vision
motion sensing
edge detection
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
face recognition
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