Machine Perception Professors in Global

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Paul Azzopardi
University of Oxford United Kingdom
visual perception
face perception
visual motion perception
perceptual distortions
visual illusions
perceptual decisions
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Jonathan Cant
University of Toronto Canada
object perception
visual perception
texture perception
shape perception
scene perception
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Allison Sekuler
McMaster University Canada
visual perception
motion perception
object recognition
pattern vision
perceptual learning
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Kavita Bala
Cornell University Netherlands
human perception
computer vision
translucency perception
material recognition
material lighting perception
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Deema Awad
London School of Economics and Political Science United Kingdom
person perception
group perception
ensemble perception
eye gaze perception
age perception
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Ke Chen
University of Manchester United Kingdom
machine perception
computer vision
machine learning
pattern recognition
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Reza Sabzevari
Delft University of Technology Netherlands
perception ai
robotics perception
distributed perception
active perception
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Georgia Gkioxari
University of California, Berkeley United States of America
3d perception
2d perception
computer vision
machine learning
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Dinesh Jayaraman
University of Pennsylvania United States of America
perception
computer vision
machine learning
active perception
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Launa Leboe-mcgowan
University of Manitoba Canada
visual perception
time perception
auditory perception
cognitive illusions
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Zhou Wang
University of Waterloo Canada
visual perception
machine learning
pattern recognition
computational vision
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John Assad
Harvard-MIT Health Sciences and Technology United States of America
motion perception
space perception
time perception
visual pattern recognition
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Andrew Zisserman
University of Oxford United Kingdom
computer vision
object recognition
machine learning
image understanding
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Romina Palermo
University of Western Australia Australia
body perception
face perception
voice perception
emotion recognition
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Ying Wu
Northwestern University United States of America
computer vision
multi-modal perception
pattern recognition
intelligent machines
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Du Huynh
University of Western Australia Australia
computer vision
machine learning
pattern recognition
object detection
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Roland Goecke
University of New South Wales Australia
computer vision
machine learning
pattern recognition
human-computer interaction
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Kin-choong Yow
University of Regina Canada
computer vision
machine learning
pattern recognition
artificial consciousness
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Jean-françois Lalonde
Laval University Canada
computer vision
machine learning
pattern recognition
artificial vision
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Roberto Cipolla
University of Cambridge United Kingdom
computer vision
object detection
human-computer interaction
gesture recognition
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Dima Damen
University of Bristol United Kingdom
computer vision
machine learning
first-person vision
action recognition
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