Target Recognition Professors in Global

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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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Du Huynh
University of Western Australia Australia
pattern recognition
object detection
computer vision
machine learning
visual tracking
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Computer Vision
RWTH Aachen University Germany
visual object recognition
computer vision
machine learning
self-localization
tracking
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Sankaran Iyer
University of New South Wales Australia
object detection
computer vision
pedestrian detection
anomaly detection
tracking
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Maria Amer
Concordia University Canada
object detection
activity recognition
object tracking
computer vision
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Allison Sekuler
McMaster University Canada
object recognition
face recognition
pattern vision
perceptual learning
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Roberto Cipolla
University of Cambridge United Kingdom
face recognition
object detection
computer vision
gesture recognition
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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
computer vision
machine perception
machine learning
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Jean-françois Lalonde
Laval University Canada
pattern recognition
computer vision
machine learning
artificial vision
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Ralf Schlüter
RWTH Aachen University Germany
pattern recognition
automatic speech recognition
machine learning
discriminative training
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Ali Zia
Australian National University Australia
pattern recognition
computer vision
machine learning
remote sensing
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Bastian Leibe
RWTH Aachen University Germany
object detection
computer vision
machine learning
tracking
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Ekta Vats
Uppsala University Sweden
human action recognition
computer vision
machine learning
optical character recognition
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Yali Amit
University of Chicago United States of America
object recognition
speech recognition
computer vision
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Chin-hui Lee
Georgia Institute of Technology United States of America
pattern recognition
speech recognition
machine learning
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Andrew Zisserman
University of Oxford United Kingdom
object recognition
computer vision
machine learning
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Alan Guedes
University of Reading United Kingdom
object recognition
machine perception
computational vision
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Bob Woodham
University of British Columbia Canada
object recognition
machine vision
remote sensing
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Larry Heck
Georgia Institute of Technology United States of America
speech recognition
speaker recognition
machine learning
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Christopher Pal
Université de Montréal Canada
pattern recognition
computer vision
machine learning
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