Visual Similarity Learning Professors in Global

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Seyran Khademi
Delft University of Technology Netherlands
visual similarity learning
computer vision
visual data
machine learning
deep learning
quantitative visual analysis
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Pietro Perona
California Institute of Technology United States of America
visual recognition
visual categorization
visual psychophysics
machine vision
machine learning
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Du Huynh
University of Western Australia Australia
computer vision
pattern recognition
visual tracking
object detection
machine learning
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Atsuto Maki
KTH Royal Institute of Technology Sweden
computer vision
representation learning
machine learning
deep learning
motion object recognition
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Yuhong Guo
Carleton University Canada
computer vision
representation learning
weakly supervised learning
self-supervised learning
machine learning
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Blaire Dube
Memorial University of Newfoundland Canada
visual short-term memory
visual cognition
visual perception
visual attention
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Patrick Li
Australian National University Australia
visual inference
computer vision
data visualization
machine learning
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Ronald Rensink
University of British Columbia Canada
visual cognition
visual analytics
information visualization
visual attention
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Simone Frintrop
University of Hamburg Germany
computer vision
visual tracking
visual attention
machine learning
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Zhou Wang
University of Waterloo Canada
computational vision
visual perception
pattern recognition
machine learning
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Hossein Hassani
Toronto Metropolitan University Canada
vision language models
computer vision
machine learning
deep learning
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Allison Sekuler
McMaster University Canada
perceptual learning
visual perception
object recognition
pattern vision
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C. Green
University of Wisconsin–Madison United States of America
human learning
perceptual learning
motor learning
cognitive learning
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Ekta Vats
Uppsala University Sweden
vision-language models
computer vision
machine learning
deep learning
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Qiang Qiu
Purdue University United States of America
computer vision
representation learning
machine learning
deep learning
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Sirisha Rambhatla
University of Waterloo Canada
computer vision
representation learning
machine learning
deep learning
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Mårten Wadenbäck
Linköping University Sweden
computer vision
robust feature matching
machine learning
deep learning
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Vishnu Boddeti
Michigan State University United States of America
computer vision
pattern recognition
machine learning
deep learning
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Kin-choong Yow
University of Regina Canada
computer vision
pattern recognition
machine learning
deep learning
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Alexandra Branzan Albu
University of Victoria Canada
computer vision
pattern recognition
machine learning
deep learning
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Pascal Vincent
University of Montreal Canada
pattern recognition
representation learning
machine learning
deep learning
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