Detection Professors in Global

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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
object activity recognition
machine perception
machine learning
computer vision
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Kavita Bala
Cornell University Netherlands
material recognition
visual search detection
computer vision
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
face recognition
gesture recognition
computer vision
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Allison Sekuler
McMaster University Canada
object recognition
face recognition
motion perception
visual perception
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Computer Vision
RWTH Aachen University Germany
visual object recognition
machine learning
tracking
computer vision
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Jianbo Shi
University of Pennsylvania United States of America
gesture recognition
computer vision
human image recognition
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Keith Spiller
University of Southampton United Kingdom
surveillance
monitoring
crime prevention
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Midori Ogasawara
University of Victoria Canada
identification
surveillance
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Joseph Naguib
University of Southern Denmark Denmark
recognition
machine learning
sensing
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Endrowednes Kuantama
Macquarie University Australia
recognition
machine learning
sensing
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Yunzhong Hou
Australian National University Australia
multi-view detection
computer vision
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Syed Islam
University of Western Australia Australia
human recognition
computer vision
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Michael Felsberg
Linköping University Sweden
object detection
recognition
tracking
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Tengyao Wang
London School of Economics United Kingdom
change-point detection
sparse signal detection
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Hermann Ney
RWTH Aachen University Germany
image object recognition
machine learning
sign language recognition
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Pietro Perona
California Institute of Technology United States of America
visual recognition
machine learning
machine vision
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Dima Damen
University of Bristol United Kingdom
action recognition
machine learning
computer vision
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Dima Damen
University of Bristol United Kingdom
action recognition
machine learning
computer vision
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Theo Gevers
University of Amsterdam Netherlands
visual recognition
machine learning
computer vision
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Perona Perona
California Institute of Technology United States of America
visual recognition
computer vision
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Pietro Perona
California Institute of Technology United States of America
visual recognition
machine learning
computer vision
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