Deep Learning For Computer Vision Professors in Global

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Michael Felsberg
Linköping University Sweden
three-dimensional computer vision
computational imaging
object detection
robot vision
artificial visual systems
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Seyran Khademi
Delft University of Technology Netherlands
computer vision
deep learning
visual similarity learning
machine learning
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Hossein Hassani
Toronto Metropolitan University Canada
computer vision
deep learning
vision language models
machine learning
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Ekta Vats
Uppsala University Sweden
computer vision
deep learning
vision-language models
machine learning
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Kin-choong Yow
University of Regina Canada
computer vision
deep learning
deep reinforcement learning
machine learning
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Saeed Anwar
University of Western Australia Australia
computer vision
deep learning
machine learning
3d vision
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Joseph Gonzalez
University of California, Berkeley United States of America
computer vision
deep reinforcement learning
accelerated deep learning
machine learning
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Rakesh Mishra
University of New Brunswick Canada
computer vision
deep learning
machine learning
ai-based object detection
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Mohammed Bennamoun
University of Western Australia Australia
computer vision
deep learning
machine learning
3d object recognition
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Julian Kooij
Delft University of Technology Netherlands
computer vision
deep learning
visual localization
3d object detection
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Xuelian Cheng
Monash University Australia
computer vision
deep learning
object detection
automated machine learning
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Kyros Kutulakos
University of Toronto Canada
computer vision
neural rendering
machine learning
computational imaging
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Yarin Gal
University of Oxford United Kingdom
deep reinforcement learning
bayesian deep learning
deep probabilistic ai
machine learning
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Pietro Perona
California Institute of Technology United States of America
machine vision
visual recognition
machine learning
visual categorization
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Mehrdad Mahdavi
Pennsylvania State University United States of America
deep learning
large-scale machine learning
computational learning theory
computational statistical machine learning
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Sabine Süsstrunk
École Polytechnique Fédérale de Lausanne Switzerland
computer vision
machine learning
computational imaging
computational photography
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C. Green
University of Wisconsin–Madison United States of America
depth learning
cognitive learning
perceptual learning
human learning
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Luke Miller
Radboud University Netherlands
computational modeling
machine learning
neural computations
neural network modeling
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Srinath Sridhar
Brown University United States of America
computer vision
deep learning
3d computer vision
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Nina Taherimakhsousi
University of Victoria Canada
computer vision
deep learning
deep reinforcement learning
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Mousumi Rizia
Australian National University Australia
computer vision
deep learning
deep generative modelling
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