3d Object Recognition Professors in Global

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Ekta Vats
Uppsala University Sweden
computer vision
optical character recognition
human action recognition
machine learning
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Zhou Wang
University of Waterloo Canada
pattern recognition
computational vision
image processing
machine learning
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Georgia Gkioxari
University of California, Berkeley United States of America
3d perception
computer vision
2d perception
machine learning
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Hyuntae Na
Penn State Harrisburg United States of America
computer vision and pattern recognition
machine learning
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Timothy Oleskiw
University of Regina Canada
human computer vision
machine learning
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Nicholas Antipa
University of California, San Diego United States of America
optical 3d printing
machine learning
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Fons Van Der Sommen
Eindhoven University of Technology Belgium
computer vision
computer-aided detection
machine learning
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H. Siegfried Stiehl
University of Hamburg Germany
computer vision
optical character recognition
image processing
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face recognition
face detection
machine learning
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face recognition
face detection
machine learning
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Lesley Istead
Carleton University Canada
stereoscopic 3d
machine learning
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Lesley Istead
Carleton University Canada
stereoscopic 3d
machine learning
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Kyros Kutulakos
University of Toronto Canada
3d sensing
computer vision
neural rendering
machine learning
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Egor Bondarau
Eindhoven University of Technology Belgium
real-time computer vision
machine learning
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Vishal Monga
Pennsylvania State University United States of America
image classification
image processing
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Ahmed Shaker
Toronto Metropolitan University Canada
image classification
image processing
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Dima Damen
University of Bristol United Kingdom
computer vision
action recognition
machine learning
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Dima Damen
University of Bristol United Kingdom
computer vision
action recognition
machine learning
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Javad Alirezaie
Toronto Metropolitan University Canada
pattern recognition
computer vision modeling
image processing
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Arlen Brickman
Brown University United States of America
image classification
machine learning
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Guillermo Sapiro
Duke University Singapore
computer vision
computational vision
image processing
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