Computerized Detection Professors in Global

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Ke Chen
University of Manchester United Kingdom
computer vision
pattern recognition
machine learning
machine perception
computational cognitive systems
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Sankaran Iyer
University of New South Wales Australia
computer vision
object detection
pedestrian detection
anomaly detection
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Du Huynh
University of Western Australia Australia
computer vision
object detection
pattern recognition
machine learning
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Sabine Süsstrunk
École Polytechnique Fédérale de Lausanne Switzerland
computer vision
computational imaging
computational photography
machine learning
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
machine learning
face recognition
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Roland Goecke
University of New South Wales Australia
computer vision
pattern recognition
computational behaviour analysis
machine learning
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Parvin Mousavi
Queen's University Canada
No active positions
computer-aided diagnosis
computer-assisted diagnosis
cancer detection
machine learning
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Michael Davies
University of Edinburgh United Kingdom
computational imaging
machine learning
data-driven computational sensing
machine imaging
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Fons Van Der Sommen
Eindhoven University of Technology Belgium
computer-aided detection
computer vision
machine learning
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Samuel Armato
University of Chicago United States of America
computer vision
computer-aided diagnosis
computed tomography
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Samuel Armato
University of Chicago United States of America
computer vision
computer-aided diagnosis
computed tomography
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Roberto Cipolla
University of Cambridge United Kingdom
computer vision
object detection
face recognition
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Bastian Leibe
RWTH Aachen University Germany
computer vision
object detection
machine learning
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Vivek Boominathan
Rice University United States of America
computer vision
computational imaging
machine learning
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Katherine Bouman
California Institute of Technology United States of America
computer vision
computational imaging
machine learning
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Andrew Zisserman
University of Oxford United Kingdom
computer vision
object recognition
machine learning
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Eric Paquet
University of Ottawa Canada
computer vision
pattern recognition
computational intelligence
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Felix Heide
Princeton University United States of America
computer vision
computational imaging
machine learning
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James Peters
University of Manitoba Canada
computer vision
signal detection
computational proximity
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Katherine Bouman
California Institute of Technology United States of America
computer vision
computational imaging
machine learning
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Qi Guo
Purdue University United States of America
computer vision
computational imaging
machine learning
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