Facial Recognition Professors in Global

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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
computer vision
object activity recognition
machine learning
deep learning
machine perception
artificial intelligence
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Ekta Vats
Uppsala University Sweden
human action recognition
optical character recognition
computer vision
machine learning
deep learning
image analysis
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Kin-choong Yow
University of Regina Canada
pattern recognition
computer vision
machine learning
image processing
deep learning
artificial intelligence
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Mahdi Khodayar
The University of Tulsa Iran
No active positions
computer vision
machine learning
statistical pattern recognition
image processing
artificial intelligence
deep neural networks
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Mohammed Bennamoun
University of Western Australia Australia
3d object recognition
computer vision
machine learning
image processing
deep learning
biometrics
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Pascal Vincent
University of Montreal Canada
pattern recognition
machine learning
deep learning
representation learning
neural networks
artificial intelligence
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Marios Savvides
Carnegie Mellon University United States of America
face recognition
face detection
object detection
machine learning
artificial intelligence
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Marios Savvides
Carnegie Mellon University United States of America
face recognition
face detection
object detection
machine learning
artificial intelligence
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Roberto Cipolla
University of Cambridge United Kingdom
face recognition
gesture recognition
computer vision
object detection
human-computer interaction
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Du Huynh
University of Western Australia Australia
pattern recognition
computer vision
object detection
machine learning
image processing
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Hermann Ney
RWTH Aachen University Germany
image object recognition
sign language recognition
automatic speech recognition
machine learning
text image recognition
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Divya Sharma
York University Canada
pattern recognition
computer vision
machine learning
image processing
deep learning
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
computer vision
machine learning
image processing
deep learning
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Rama Chellappa
Johns Hopkins University United States of America
pattern recognition
computer vision
machine learning
artificial intelligence
biometrics
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Atsuto Maki
KTH Royal Institute of Technology Sweden
motion object recognition
computer vision
machine learning
deep learning
representation learning
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Roland Goecke
University of New South Wales Australia
pattern recognition
computer vision
machine learning
artificial intelligence
human-computer interaction
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Tunai Marques
University of Victoria Canada
pattern recognition
computer vision
machine learning
image processing
artificial intelligence
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Ching Suen
Concordia University Canada
pattern recognition
handwriting recognition
machine learning
image processing
artificial intelligence
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Ke Chen
University of Manchester United Kingdom
pattern recognition
computer vision
machine learning
biometric authentication
machine perception
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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
computer vision
machine learning
deep learning
biometrics
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John Oommen
Carleton University Canada
pattern recognition
statistical pattern recognition
syntactic pattern recognition
neural networks
artificial intelligence
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