Fingerprint 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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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
biometrics
machine learning
computer vision
deep learning
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Farid Boussaid
University of Western Australia Australia
fingerprint recognition
machine learning
computer vision
deep learning
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Roberto Cipolla
University of Cambridge United Kingdom
face recognition
gesture recognition
object detection
computer vision
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Chin-hui Lee
Georgia Institute of Technology United States of America
speech recognition
pattern recognition
biometric authentication
machine learning
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Hermann Ney
RWTH Aachen University Germany
sign language recognition
image object recognition
automatic speech recognition
machine learning
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Ke Chen
University of Manchester United Kingdom
pattern recognition
biometric authentication
machine learning
computer vision
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Rama Chellappa
Johns Hopkins University United States of America
pattern recognition
biometrics
machine learning
computer vision
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Du Huynh
University of Western Australia Australia
pattern recognition
object detection
machine learning
computer vision
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Kin-choong Yow
University of Regina Canada
pattern recognition
machine learning
computer vision
deep learning
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
machine learning
computer vision
deep learning
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Divya Sharma
York University Canada
pattern recognition
machine learning
computer vision
deep learning
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
machine learning
computer vision
deep learning
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Maria Amer
Concordia University Canada
activity recognition
object detection
computer vision
deep learning
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Kristen Grauman
University of Texas at Austin United States of America
visual recognition
object activity recognition
machine learning
computer vision
deep learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
motion object recognition
machine learning
computer vision
deep learning
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Mohammed Bennamoun
University of Western Australia Australia
biometrics
3d object recognition
machine learning
computer vision
deep learning
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Sankaran Iyer
University of New South Wales Australia
pedestrian detection
object detection
computer vision
deep learning
anomaly detection
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Yali Amit
University of Chicago United States of America
object recognition
speech recognition
computer vision
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Yali Amit
University of Chicago United States of America
object recognition
speech recognition
computer vision
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Marios Savvides
Carnegie Mellon University United States of America
face recognition
face detection
object detection
machine learning
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