Workshop on Statistical and Computational Theories
of Vision
-- Modeling, Learning, Computing, and Sampling
June 22, (Tuesday), 1999
Fort Collins, Colorado
(The day before CVPR99 )
Goals and Scope
This workshop will provide an international forum for discussing recent
advances in the statistical and computational theories of vision. It will
brings together highly respected researchers from computer vision, mathematics,
statistics, information theory, and psychology to address key issues in
Bayesian image analysis, such as
- Advanced theories for statistical modeling,
- Advanced theories for visual learning,
- Advanced techniques for efficient computation and search,
- Advanced techniques for Markov chain Monte Carlo Sampling. Original
papers are solicited on topics including (but are not limited to): Analyzing
the statistics of natural imagery and patterns,
- Statistical modeling of natural patterns (textures, shapes, biometrics...)
- Statistical modeling of clutter and sensor noise,
- Statistical modeling of scenes.
- Visual learning, model estimation and model selection,
- Information theoretic principles in computer vision, (max. entropy,
max. mutual info., minimax entropy,...)
- Markov chain Monte Carlo sampling methods, (Importance sampling, stochastic
diffusion, jump-diffusion, multi-try metropolis, IWIW,...),
- Algorithms for efficient computation and search (graph partitioning,
20-questions, Markov tree, dynamic search,...),
- Scene representation and graph matching,
- Bayes network,
- Data Fusion,
- Image Warping,
- Pattern theory,
- Applications: (image segmentation, perceptual organization, object
recognition, motion analysis and tracking, medical images, ...).
Organizing Committee :
Song-Chun Zhu, Alan Yuille, David Mumford
Program Committee :
Edward Adelson,
Yali Amit,
Peter Belhumeur,
Michael Black, Andrew Blake, Sven Dickenson, Byron Dom, David Forsyth,
David Heeger, Davi Geiger, Donald Geman, Basilis Gidas, Daniel Kersten,
Yann LeCun, Jitendra Malik, Kanti Mardia, Michael Miller, Anand Rangarajan,
Eero Simoncelli, Richard Szeliski, Paul Viola, Yingnian Wu, Jun Zhang.
Important Dates:
Paper submission deadline: Feb. 1, 1999
Notification of acceptance: April 15, 1999
Submission of Papers:
Prospective authors are invited to submit 4 copies of manuscript, no
longer than 25 pages, including figures and references to.
Prof. Song-Chun Zhu
Dept. of Computer and Information Science
The Ohio State University
2015 Neil Avenue
Columbus, OH 43210
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Accepted papers will be published as a book (or a special issue of a journal
e.g. IEEE Trans PAMI).
Contact Information :
szhu@cis.ohio-state.edu
http://www.cis.ohio-state.edu/~szhu/SCTV99.html