Sign Language Recognition Professors in Global

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Ekta Vats
Uppsala University Sweden
optical character recognition
human action recognition
machine learning
natural language processing
handwritten text recognition
deep learning
computer vision
large language models
vision-language models
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Hermann Ney
RWTH Aachen University Germany
sign language recognition
automatic speech recognition
image object recognition
text image recognition
machine learning
statistical machine translation
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Anil Bharath
Imperial College London United Kingdom
pattern recognition
machine learning
signal processing
deep learning
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Alexandra Branzan Albu
University of Victoria Canada
pattern recognition
machine learning
signal processing
deep learning
computer vision
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Sardar Ansari
University of Michigan Medical School United States of America
machine learning
natural language processing
signal processing
deep learning
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Muhammad Abdul-mageed
University of British Columbia Canada
machine learning
natural language processing
speech language understanding
deep learning
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Yoshua Bengio
University of Montreal Canada
machine learning
natural language processing
deep learning
statistical learning algorithms
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Ching Suen
Concordia University Canada
pattern recognition
handwriting recognition
machine learning
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John Doe
University of Melbourne Australia
image recognition
machine learning
natural language processing
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Christopher Pal
Université de Montréal Canada
pattern recognition
machine learning
natural language processing
computer vision
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Hujun Yin
University of Manchester United Kingdom
image recognition
machine learning
deep learning
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Wolfgang Stummer
Friedrich-Alexander-Universität Erlangen-Nürnberg Germany
pattern recognition
machine learning
signal processing
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Jean-françois Lalonde
Laval University Canada
pattern recognition
machine learning
signal processing
computer vision
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Inma Tomeo-reyes
University of New South Wales Australia
pattern recognition
machine learning
signal processing
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Chin-hui Lee
Georgia Institute of Technology United States of America
speech recognition
pattern recognition
machine learning
speech language understanding
spoken dialogue processing
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Manuel Günther
University of Zurich Switzerland
facial recognition
machine learning
deep learning
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Kin-choong Yow
University of Regina Canada
pattern recognition
machine learning
deep learning
computer vision
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George Azzopardi
University of Groningen Netherlands
pattern recognition
machine learning
deep learning
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Vishnu Boddeti
Michigan State University United States of America
pattern recognition
machine learning
deep learning
computer vision
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Thomas Fevens
Concordia University Canada
pattern recognition
machine learning
deep learning
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Joshua Peeples
Texas A&M University United States of America
pattern recognition
machine learning
deep learning
computer vision
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