Automatic Detection Professors in Global

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Marios Savvides
Carnegie Mellon University United States of America
object detection
face detection
face recognition
machine learning
artificial intelligence
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University of Sherbrooke Canada
No active positions
automation
machine learning
artificial intelligence
computer vision
autonomous vehicles
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Sankaran Iyer
University of New South Wales Australia
object detection
anomaly detection
pedestrian detection
computer vision
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Bastian Leibe
RWTH Aachen University Germany
object detection
autonomous driving
machine learning
computer vision
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Guofei Gu
Texas A&M University United States of America
anomaly detection
advanced persistent threat detection
intrusion detection
botnet detection
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Hermann Ney
RWTH Aachen University Germany
automatic speech recognition
image object recognition
machine learning
sign language recognition
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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
machine learning
computer vision
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Moez Ali
Queen's University Canada
automated machine learning
automated modeling
machine learning
artificial intelligence
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Leman Akoglu
Carnegie Mellon University United States of America
anomaly detection
fraud detection
machine learning
outlier detection
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Dima Damen
University of Bristol United Kingdom
action recognition
machine learning
artificial intelligence
computer vision
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Jean-françois Lalonde
Laval University Canada
artificial vision
pattern recognition
machine learning
computer vision
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Zhenyu Yang
Aalborg University Denmark
fault detection
automation
machine learning
artificial intelligence
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Holger Hoos
RWTH Aachen University Germany
automated machine learning
machine learning
artificial intelligence
automated reasoning
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Vijay Ganesh
Georgia Institute of Technology United States of America
automated scientific discovery
machine learning
artificial intelligence
automated reasoning
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Thijs Van Ede
University of Twente Netherlands
anomaly detection
machine learning
artificial intelligence
security automation
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Thomas Schön
Uppsala University Sweden
automatic control
machine learning
artificial intelligence
computer vision
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Tunai Marques
University of Victoria Canada
pattern recognition
machine learning
artificial intelligence
computer vision
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Rama Chellappa
Johns Hopkins University United States of America
pattern recognition
machine learning
artificial intelligence
computer vision
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Christopher Pal
Université de Montréal Canada
pattern recognition
machine learning
artificial intelligence
computer vision
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Computer Vision
RWTH Aachen University Germany
visual object recognition
machine learning
computer vision
self-localization
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Roland Goecke
University of New South Wales Australia
pattern recognition
machine learning
artificial intelligence
computer vision
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