Skill Recognition Professors in Global

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Ekta Vats
Uppsala University Sweden
human action recognition
handwritten text recognition
optical character recognition
machine learning
computer vision
deep learning
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Hermann Ney
RWTH Aachen University Germany
sign language recognition
image object recognition
automatic speech recognition
text image recognition
machine learning
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Du Huynh
University of Western Australia Australia
pattern recognition
object detection
machine learning
computer vision
image processing
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
machine learning
computer vision
signal processing
deep learning
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
machine learning
computer vision
deep learning
image processing
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Kin-choong Yow
University of Regina Canada
pattern recognition
machine learning
computer vision
deep learning
image processing
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Atsuto Maki
KTH Royal Institute of Technology Sweden
motion object recognition
machine learning
representation learning
computer vision
deep learning
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Divya Sharma
York University Canada
pattern recognition
machine learning
computer vision
deep learning
image processing
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Mohammed Bennamoun
University of Western Australia Australia
3d object recognition
machine learning
computer vision
deep learning
image processing
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Abdul Bais
University of Regina Canada
machine learning
computer vision
signal processing
deep learning
image processing
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Yali Amit
University of Chicago United States of America
object recognition
speech recognition
learning
computer vision
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Roberto Cipolla
University of Cambridge United Kingdom
gesture recognition
face recognition
object detection
computer vision
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Ching Suen
Concordia University Canada
pattern recognition
handwriting recognition
machine learning
image processing
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Maria Amer
Concordia University Canada
activity recognition
object detection
computer vision
deep learning
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Theo Gevers
University of Amsterdam Netherlands
visual recognition
machine learning
computer vision
image processing
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Marios Savvides
Carnegie Mellon University United States of America
face recognition
object detection
face detection
machine learning
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Ke Chen
University of Manchester United Kingdom
pattern recognition
machine perception
machine learning
computer vision
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Pascal Vincent
University of Montreal Canada
pattern recognition
machine learning
representation learning
deep learning
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C. Green
University of Wisconsin–Madison United States of America
human learning
motor learning
perceptual learning
cognitive learning
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Rudolf Lioutikov
University of Texas at Austin United States of America
skill acquisition
imitation learning
skill composition
reinforcement learning
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Anil Bharath
Imperial College London United Kingdom
pattern recognition
machine learning
signal processing
deep learning
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