Body Recognition Professors in Global

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Sharareh Akbarian
University of New South Wales Australia
change detection
image processing
machine learning
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Carola Schönlieb
University of Cambridge United Kingdom
image processing
machine learning
image analysis
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Nicholas Rhinehart
University of Toronto Canada
machine learning
robot learning
imitation learning
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Qiang Qiu
Purdue University United States of America
computer vision
machine learning
image understanding
representation learning
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University of British Columbia Canada
computer vision
machine learning
image understanding
human pose estimation
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Sachin Jambawalikar
Columbia University United States of America
machine learning
image analysis
disease detection
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Ralf Peeters
Maastricht University Netherlands
machine learning
system identification
pattern recognition feature extraction
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Ralf Peeters
Maastricht University Netherlands
machine learning
system identification
pattern recognition feature extraction
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Changming Sun
University of New South Wales Australia
feature detection
computer vision
image registration
image matching
image motion analysis
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Kevin Englehart
University of New Brunswick Canada
motor learning
machine learning
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Ghita Berrada
London School of Economics and Political Science United Kingdom
anomaly detection
machine learning
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Randa Herzallah
University of Warwick United Kingdom
anomaly detection
machine learning
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Ghita Berrada
London School of Economics and Political Science United Kingdom
anomaly detection
machine learning
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Ligang He
University of Warwick United Kingdom
anomaly detection
machine learning
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Samuel Klein
University of Geneva Switzerland
anomaly detection
machine learning
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Guillaume Quétant
University of Geneva Switzerland
anomaly detection
machine learning
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Anis Assad Neto
University of Southern Denmark Denmark
anomaly detection
machine learning
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Abdolrahman Peimankar
University of Southern Denmark Denmark
anomaly detection
machine learning
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Christian Maack
Aalborg University Denmark
anomaly detection
machine learning
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Anindya Das
Umeå University Sweden
computer vision
anomaly detection
machine learning
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Monowar Bhuyan
Umeå University Sweden
anomaly detection
machine learning
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