Object Identification Professors in Global

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Du Huynh
University of Western Australia Australia
object detection
pattern recognition
computer vision
machine learning
visual tracking
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Doris Tsao
University of California, Berkeley United States of America
object recognition
object segmentation
visual object representation
visual tracking
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Maria Amer
Concordia University Canada
object detection
object tracking
computer vision
activity recognition
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Sankaran Iyer
University of New South Wales Australia
object detection
pedestrian detection
anomaly detection
computer vision
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Marios Savvides
Carnegie Mellon University United States of America
object detection
face recognition
face detection
machine learning
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Roberto Cipolla
University of Cambridge United Kingdom
object detection
face recognition
computer vision
gesture recognition
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Andrew Zisserman
University of Oxford United Kingdom
object recognition
computer vision
machine learning
image understanding
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Hermann Ney
RWTH Aachen University Germany
image object recognition
sign language recognition
text image recognition
machine learning
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Computer Vision
RWTH Aachen University Germany
visual object recognition
computer vision
self-localization
machine learning
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Changming Sun
University of New South Wales Australia
feature detection
computer vision
image registration
image matching
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Pietro Perona
California Institute of Technology United States of America
visual recognition
visual categorization
machine vision
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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Ekta Vats
Uppsala University Sweden
optical character recognition
computer vision
machine learning
human action recognition
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Chin-hui Lee
Georgia Institute of Technology United States of America
pattern recognition
information retrieval
machine learning
speech recognition
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Chris Taylor
University of Manchester United Kingdom
face recognition
computer vision
machine learning
internet of things
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Patrick Li
Australian National University Australia
computer vision
visual inference
machine learning
data visualization
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Sanja Fidler
University of Toronto Canada
object detection
object segmentation
computer vision
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Yali Amit
University of Chicago United States of America
object recognition
computer vision
speech recognition
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Allison Sekuler
McMaster University Canada
object recognition
face recognition
visual perception
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Bastian Leibe
RWTH Aachen University Germany
object detection
computer vision
machine learning
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Michael Felsberg
Linköping University Sweden
object detection
recognition
three-dimensional computer vision
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