Innate Recognition Professors in Global

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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
machine perception
computer vision
deep learning
artificial intelligence
machine learning
object activity recognition
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Ekta Vats
Uppsala University Sweden
optical character recognition
computer vision
deep learning
machine learning
human action recognition
handwritten text recognition
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Kin-choong Yow
University of Regina Canada
pattern recognition
computer vision
deep learning
artificial intelligence
machine learning
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Pascal Vincent
University of Montreal Canada
pattern recognition
deep learning
artificial intelligence
machine learning
representation learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
computer vision
deep learning
machine learning
representation learning
motion object recognition
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Ying Wu
Northwestern University United States of America
pattern recognition
intelligent machines
computer vision
intelligent interaction
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Hujun Yin
University of Manchester United Kingdom
image recognition
deep learning
artificial intelligence
machine learning
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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine perception
computer vision
machine learning
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Jiangning Song
Monash University Australia
pattern recognition
computer vision
deep learning
artificial intelligence
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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
computer vision
deep learning
machine learning
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
computer vision
deep learning
machine learning
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Divya Sharma
York University Canada
pattern recognition
computer vision
deep learning
machine learning
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
computer vision
deep learning
machine learning
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Philippe Giguère
Laval University Canada
pattern recognition
computer vision
artificial intelligence
intelligent robotics
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Christian Rupprecht
University of Oxford United Kingdom
pattern recognition
computer vision
artificial intelligence
machine learning
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Rama Chellappa
Johns Hopkins University United States of America
pattern recognition
computer vision
artificial intelligence
machine learning
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Tunai Marques
University of Victoria Canada
pattern recognition
computer vision
artificial intelligence
machine learning
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Juan Niebles
Stanford University United States of America
pattern recognition
computer vision
artificial intelligence
machine learning
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Roland Goecke
University of New South Wales Australia
pattern recognition
computer vision
artificial intelligence
machine learning
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Christopher Pal
Université de Montréal Canada
pattern recognition
computer vision
artificial intelligence
machine learning
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Du Huynh
University of Western Australia Australia
pattern recognition
computer vision
machine learning
object detection
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