Visual Data Representation Professors in Global

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Lingjie Liu
University of Pennsylvania United States of America
neural scene representations
neural rendering
computer vision
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Kavita Bala
Cornell University Netherlands
visual search detection
computer vision
material representation editing
physically-based rendering
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Guillermo Sapiro
Duke University Singapore
computer vision
mathematical image processing
image video processing
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Randy Goebel
University of Alberta Canada
visualization
knowledge representation
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Yidan Zhang
Monash University Australia
multidimensional data visualisation
energy visualisation
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Antonio Ortega
University of Southern California United States of America
information representation
representation
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Peter Stempel
Pennsylvania State University United States of America
visualization
visual rhetoric
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Sarah Goodwin
Monash University Australia
information visualization
geographical information visualization
energy visualization
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Elmar Eisemann
Delft University of Technology Netherlands
visualization
real-time perceptual rendering
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Oliver Van Kaick
Carleton University Canada
visualization
computer vision
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Raymond Yeh
Purdue University United States of America
visualization
computer vision
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Kristen Grauman
University of Texas at Austin United States of America
visualization
visual recognition
computer vision
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Sharon Huang
Pennsylvania State University United States of America
visualization
computer vision
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Semiha Ergan
New York University Tandon School of Engineering United States of America
visualization
computer vision
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William Higgins
Pennsylvania State University United States of America
visualization
computer vision
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Voicu Popescu
Purdue University United States of America
visualization
computer vision
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George Michailidis
University of California Los Angeles United States of America
visualization
analysis of high dimensional data
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Lawrence Cormack
University of Texas at Austin United States of America
visualization
visual system
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John Yen
Pennsylvania State University United States of America
knowledge representation
deep representation learning
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Francis Engelmann
Università della Svizzera italiana Switzerland
geometric visual computing
computer vision
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Bernardo Cuenca Grau
University of Oxford United Kingdom
knowledge representation
graph representation learning
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