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2013 HVEI Keynote Speakers
Keynote Session
SF Hyatt Regency Hotel Room TBD Monday 4 February 9:30 am
9:40 am:
Title TBD
Speaker TBD, Affiliation
10:50 am:
Title TBD
Speaker TBD, Affiliation
11:30 am:
Title TBD
Speaker TBD, Affiliation
Past HVEI Keynote Speakers
2012:
The general solution to HDR rendering
John J. McCann, McCann Imaging (United States)
Measuring material perception
Laurence T. Maloney, New York Univ. (United States)
Computational photography and the Stanford Frankencamera
Marc S. Levoy, Stanford Univ. (United States)
2011:
Visualization grand challenges
Georges G. Grinstein, Univ. of Massachusetts Lowell (United States)
How 3D immersive visualization is changing medical diagnostics
Anton Koning, Erasmus MC (Netherlands)
Vision as user interface
Jan J. Koenderink, Delft Univ. of Technology (Netherlands)
On the relationship between selective visual attention and visual consciousness
Naotsugu Tsuchiya, Christof Koch, California Institute of Technology (United States)
2010:
Music in film and animation: experimental semiotics applied
to visual sound and musical structures
Roger A. Kendall, Univ. of California, Los Angeles (United States)
Photographing the range of light: works by Ansel Adams and John Sexton
John Sexton, John Sexton Photography (United States)
Preferences for individual colors: WAVEs of color, culture, music, and emotion
Stephen E. Palmer, Karen B. Schloss, Univ. of
California, Berkeley (United States)
2009:
Towards a true spherical camera
Guru Krishnan, Shree K. Nayar, Columbia University (United States)
Behavioral and neural correlates of visual preference decision
Shinsuke Shimojo, California Institute of Technology (United States)
Perceptual experiments on the Web
Ken Nakayama, Harvard Univ. (United States)
2008:
Image Statistics and Surface Perception
Edward H. Adelson, Massachusetts Institute of Technology
The Perception of Simulated Materials
Holly E. Rushmeier, Yale Univ.
Single-photon Imaging Inspired by Human Vision
Hooman Mohseni, Northwestern Univ.
The Appearance of Images
Karen K. De Valois, Univ. of California/Berkeley
Natural Systems Analysis (Keynote Talk)
Wilson S. Geisler, The Univ. of Texas at Austin
2007:
New Vistas in Image and Video Quality
A. C. Bovik, K. Seshadrinathan, and S. Sumohana, The Univ. of Texas/Austin
Painterly Rendered Portraits from Photographs Using a Knowledge-based Approach
S. DiPaola, Simon Fraser Univ. (Canada)
Nonlinear Encoding in Multilayer LNL Systems Optimized for
the Representation of Natural Images
C. Zetzsche, Univ. Bremen (Germany);
U. Nuding, Ludwig-Maximilians-Univ. München (Germany)
2006:
Computational Neuroimaging: Maps and Tracks in the Human Brain
Brian Wandell, Stanford University
Learning Where to Look
Mary Hayhoe, University of Rochester
2005:
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Eye-Robot: A Standard Observer for Vision Technology
Andrew B. Watson, NASA Ames Research Ctr.
Celestial Illusions and Ancient Astronomers: Aristarchus and Eratosthenes
Thomas V. Papathomas, Rutgers Univ.
Perception and Action in Virtual Environments
Heinrich H. Buelthoff, Max Planck Institute for Biological Cybernetics
2004:
Human Face Perception: Symmetry, Depth, and Form
Christopher Tyler, Smith-Kettlewell Eye Research Institute
Constancy Myth, the Vocabulary of Color Perception, and the ATD04 Model
S. Lee Guth, Indiana University School of Optometry
2003:
Noticing things: The science of visual salience
Tom Troscianko, Univ. of Bristol (United Kingdom)
Signal processing for lip reading
Harry Levitt, City Univ. of New York
Learning to see: seeing to learn
D. M. Russell, IBM Almaden Research Ctr.
Color naming for image color composition
Aleksandra Mojsilovic, Bernice E. Rogowitz, IBM Thomas J. Watson Research Ctr.
The channel for reading
D. G. Pelli, New York Univ.
2002:
Perceptual model for texture analysis and synthesis
Eero P. Simoncelli, New York Univ.
Illumination frameworks in the brain
Alan Gilchrist, Rutgers Univ.
Using adaptation experiments to uncover higher level features in perception
Michael A. Webster, Univ. of Nevada/Reno
Identifying perceptually significant features for image recognition
Pawan Sinha, Massachusetts Institute of Technology
2001:
On seeing stuff: the perception of materials by humans and machines
Edward H. Adelson, Massachusetts Institute of Technology
Computer graphics and vision
Patrick Hanrahan, Stanford Univ.
Using virtual reality to study perception: understanding the moon illusion
James H. Kaufman, IBM Almaden Research Ctr.
Lloyd Kaufman, New York Univ.
Unconventional imaging: new methods for capturing
high-dynamic range and wide field of view
Shree K. Nayar, Columbia Univ.
Building HAL: computers sensing, recognizing, and responding to human emotion
Rosalind W. Picard, MIT Media Lab.
2000:
1999:
Nonlinear neurons and higher-order statistics: new approaches
to human perception and electronic image representations
C. Zetzsche, G. Krieger, Univ. München (Germany)
Auditory-visual interaction: from fundamental research in
cognitive psychology to (possible) applications
A. Kohlrausch, IPO Ctr. for Research on User-System
Interface and Philips Research Labs. (Netherlands);
S. van de Par, IPO Ctr. for Research on User-System Interface (Netherlands)
Diagnostic medical imaging: current practices and future directions
A. B. Poirson, R. Taylor, AccuImage Diagnostics Corp.;
B. A. Wandell, Stanford Univ.
Computational expressionism or why random() is falling into
disuse in computer art
Walter R. Bender, MIT Media Lab.
1998:
Building bridges between human vision and electronic
imaging: a ten-year retrospective
Bernice E. Rogowitz, IBM Thomas J. Watson Research Ctr.;
Jan P. Allebach, Purdue Univ.;
Thrasyvoulos N. Pappas, Lucent Technologies/Bell Labs.
Viewer response to time-varying video quality and implications for coding
D. E. Pearson, Univ. of Essex (UK);
Huib de Ridder, IPO Ctr. for Research on User-System Interaction (Netherlands)
Human vision and image rendering: is the story over, or is it just beginning?
Jan P. Allebach, Purdue Univ.
Vision-based image compression
Murat Kunt, Swiss Federal Institute of Technology (Switzerland)
Color imaging systems and color theory: past, present, and future
John J. McCann, McCann Imaging
Future image processing: making a picture fit the mind's eye
Lawrence W. Stark, Univ. of California/Berkeley
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