Detection Problems Professors in Global

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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
computer vision
machine perception
object activity recognition
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Atsuto Maki
KTH Royal Institute of Technology Sweden
motion object recognition
computer vision
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Bea De Gelder
Maastricht University Netherlands
body recognition
face recognition
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Tatjana Pavlenko
Uppsala University Sweden
high-dimensional problems
sparse signal detection
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Jonathan Whiteley
University of Oxford United Kingdom
multiscale problems
multiphysics problems
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Axel Målqvist
Chalmers University of Technology Sweden
multiscale problems
multiphysics problems
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Olga Veksler
University of Waterloo Canada
computer vision
salient object detection
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Chris Taylor
University of Manchester United Kingdom
computer vision
face recognition
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Chris Taylor
University of Manchester United Kingdom
computer vision
face recognition
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
computer vision
face recognition
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Jianbo Shi
University of Pennsylvania United States of America
computer vision
human image recognition
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Jonathan Cant
University of Toronto Canada
object perception
visual perception
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Jonas Nielsen
Technical University of Denmark Denmark
computer vision
vision-based target detection
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Nilabja Guha
University of Manchester United Kingdom
high-dimensional problems
change-point related problems
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George Papavassilopoulos
University of Southern California United States of America
environmental problems
nonconvex problems
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Kavita Bala
Cornell University Netherlands
material recognition
computer vision
visual search detection
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Pratik Chaudhari
University of Pennsylvania United States of America
theoretical problems
visual perception
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Brendan Hassett
Brown University United States of America
moduli problems
rationality problems
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Ivan Kryven
Utrecht University Netherlands
parameter inference problems
percolation problems in random environments
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Ke Chen
University of Manchester United Kingdom
pattern recognition
computer vision
machine perception
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Kostas Daniilidis
University of Pennsylvania United States of America
computer vision
machine perception
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