Neural Rendering Professors in Global

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Hazem Abbas
Queen's University Canada
neural computing
image processing
computer vision
machine learning
natural language processing
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Hugo Larochelle
University of Montreal Canada
neural networks
computer vision
machine learning
deep learning
natural language processing
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Gerasimos Spanakis
Maastricht University Netherlands
neural networks
computational modeling
machine learning
deep learning
natural language processing
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Yaoliang Yu
University of Waterloo Canada
computer vision
representation learning
machine learning
generative modelling
natural language processing
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John Doe
University of Wisconsin–Madison United States of America
computer vision
machine learning
deep learning
natural language processing
predictive modeling
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Kyros Kutulakos
University of Toronto Canada
neural rendering
computer vision
machine learning
computational imaging
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Luke Miller
Radboud University Netherlands
neural network modeling
neural computations
computational modeling
machine learning
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Chris Eliasmith
University of Waterloo Canada
neural computing
neural networks
large-scale neural modelling
neural dynamics
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Brokoslaw Laschowski
University of Toronto Canada
neural computation
neural networks
machine learning
deep learning
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Charles Dyer
University of Wisconsin–Madison United States of America
rendering
image processing
computer vision
image-based modeling
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Till Bretschneider
University of Warwick United Kingdom
neural networks
image-based modeling
machine learning
generative modeling
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Theo Gevers
University of Amsterdam Netherlands
image processing
visual recognition
computer vision
machine learning
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Tahereh Koohi
University of New South Wales Australia
neural networks
computer vision
machine learning
deep learning
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Risto Miikkulainen
University of Texas at Austin United States of America
neural networks
computer vision
machine learning
natural language processing
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Pascal Vincent
University of Montreal Canada
neural networks
representation learning
machine learning
deep learning
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John Doe
KU Leuven Belgium
neural networks
computer vision
machine learning
natural language processing
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Nicolas Le Roux
University of Montreal Canada
neural networks
computer vision
machine learning
deep learning
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Yao Wang
New York University Tandon School of Engineering United States of America
image processing
computer vision
video processing
machine learning
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John Doe
KU Leuven Belgium
neural networks
machine learning
deep learning
natural language processing
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Mahdi Khodayar
The University of Tulsa Iran
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image processing
computer vision
deep neural networks
machine learning
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Sirisha Rambhatla
University of Waterloo Canada
computer vision
representation learning
machine learning
deep learning
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