Activity Recognition Professors in Global

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Chen Yu
University of Texas at Austin United States of America
perception action
learning
computer vision
social interaction
machine learning
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Mohammed Bennamoun
University of Western Australia Australia
3d object recognition
computer vision
machine learning
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Wenhao Zhang
University of the West of England United Kingdom
human computer interaction
computer vision
machine learning
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Fons Van Der Sommen
Eindhoven University of Technology Belgium
computer-aided detection
computer vision
machine learning
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Fernando Frade
Carnegie Mellon University United States of America
human behavior understanding
computer vision
machine learning
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Mirela Popa
Maastricht University Netherlands
activity recognition
human behavior understanding
computer vision
machine learning
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Anindya Das
Umeå University Sweden
anomaly detection
computer vision
machine learning
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Mingda Xu
Australian National University Australia
anomaly detection
computer vision
machine learning
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Roland Goecke
University of New South Wales Australia
pattern recognition
computational behaviour analysis
computer vision
machine learning
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Nicholas Rhinehart
University of Toronto Canada
imitation learning
machine learning
robot learning
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Mahdi Khodayar
The University of Tulsa Iran
No active positions
statistical pattern recognition
computer vision
machine learning
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Nikolay Atanasov
University of California, San Diego United States of America
active localization mapping
computer vision
machine learning
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Alexandre Alahi
École Polytechnique Fédérale de Lausanne Switzerland
ambient intelligence
computer vision
machine learning
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Kristen Grauman
University of Texas at Austin United States of America
object activity recognition
visual recognition
computer vision
interactive machine learning
machine learning
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Kyros Kutulakos
University of Toronto Canada
computer vision
neural rendering
machine learning
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Edward Johns
Imperial College London United Kingdom
computer vision
machine learning
robot learning
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Yuke Zhu
University of Texas at Austin United States of America
computer vision
machine learning
robot learning
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Dinesh Jayaraman
University of Pennsylvania United States of America
computer vision
machine learning
robot learning
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Benjamin Joffe
Georgia Institute of Technology United States of America
computer vision
machine learning
robot learning
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Chris Joslin
Carleton University Canada
computer vision
machine learning
motion capture
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John Canny
University of California, Berkeley United States of America
motion sensing
computer vision
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