Vision Based Deep Neural Networks Professors in Global

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Jingmin Huang
University of Southampton United Kingdom
deep generative models
deep learning
machine learning
neural-inspired computing
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Tahereh Koohi
University of New South Wales Australia
computer vision
deep learning
neural networks
evolutionary algorithms
machine learning
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Brokoslaw Laschowski
University of Toronto Canada
deep learning
neural networks
brain-inspired algorithms
machine learning
neural computation
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Siamak Mehrkanoon
Utrecht University Netherlands
deep learning
neural networks
kernel-based models
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Marios Philiastides
University of Glasgow United Kingdom
neural representations
perceptual value-based decision making
computational modelling
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Ekta Vats
Uppsala University Sweden
vision-language models
computer vision
deep learning
machine learning
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Hossein Hassani
Toronto Metropolitan University Canada
vision language models
computer vision
deep learning
machine learning
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Xenia Miscouridou
Imperial College London United Kingdom
deep generative models
deep learning
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Javad Alirezaie
Toronto Metropolitan University Canada
computer vision modeling
neural networks
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Seyran Khademi
Delft University of Technology Netherlands
computer vision
deep learning
visual similarity learning
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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Kevin Luck
Vrije Universiteit Amsterdam Netherlands
deep learning
deep reinforcement learning
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Nina Taherimakhsousi
University of Victoria Canada
computer vision
deep learning
deep reinforcement learning
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Liqiu Meng
Technical University of Munich Germany
visual data mining
visual analytics
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Sarath Anbil Parthipan
Université de Montréal Canada
deep learning
neural networks
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Felix Agyemang
University of Manchester United Kingdom
deep learning
neural networks
machine learning
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Gerasimos Spanakis
Maastricht University Netherlands
deep learning
neural networks
machine learning
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Seyed Kia
Tilburg University Netherlands
deep learning
neural networks
machine learning
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John Doe
KU Leuven Belgium
deep learning
neural networks
machine learning
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Sun-yuan Kung
Princeton University United States of America
deep learning
neural networks
machine learning
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John Doe
University of Wisconsin–Madison United States of America
deep learning
neural networks
machine learning
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