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Yair Weiss

Massachusetts Institute of Technology
79 Amherst St. room E10-120
Cambridge, MA 02142
email: yweiss@psyche.mit.edu
phone: 617-258-7830
vita (postscript 47K)

Research interests

Human and machine vision. Bayesian methods. Neural computation.
see my thesis page for more info.

PhD Advisor: Edward Adelson

Education

Publications

Correctness of local probability propagation in graphical models with loops.

Weiss Y.
submitted to Neural Computation 1998. (gzipped postscript 234K)

Slow and Smooth: a Bayesian theory for the combination of local motion signals in human vision.

Weiss Y. and Adelson E.H.
MIT AI Memo 1624 (CBCL Paper 158). (gzipped postscript 971K) (acrobat 628K)

Belief propagation and revision in networks with loops.

Weiss Y.
MIT AI Memo 1616 (CBCL Paper 155). Presented in NIPS*97 workshop on graphical models. (gzipped postscript 201K) (acrobat 461K)

Phase transitions and perceptual organization of video sequences.

Weiss Y.
To appear in Advances in Neural Information Processing Systems 10. NIPS*97. (gzipped postscript 158K) (acrobat 311K)

Smoothness in Layers: Motion segmentation using nonparametric mixture estimation.

Weiss Y.
Proceedings of IEEE conference on Computer Vision and Pattern Recognition 520-527 (1997) (gzipped postscript 313K) (acrobat 148K)

Interpreting images by propagating Bayesian beliefs.

Weiss Y.
in: M.C. Mozer, M.I. Jordan and T. Petsche, editors, Advances in Neural Information Processing Systems 9 908-915 (1997). (postscript 387K) (acrobat 211K)

Integration and segmentation of nonrigid motion: a computational model.

Weiss Y. and Adelson E.H.
ARVO 1996. Investigative Opthamology and Visual Science. 37(3):S742 (1996) (poster handout - postscript 525K)

A unified mixture framework for motion segmentation: incorporating spatial coherence and estimating the number of models.

Weiss Y. and Adelson E.H.
Proceedings of IEEE conference on Computer Vision and Pattern Recognition. 321-326. (1996) (postscript 163K) (acrobat 272K)

Motion Estimation and segmentation with a recurrent mixture-of-experts architecture.

Weiss Y. and Adelson E.H..
Proceedings of IEEE workshop on Neural Nets for Signal Processing V. 293-303 (1995) (postscript 201K) ( acrobat 257K )

Perceptually organized EM: A framework for motion segmentation that combines information about form and motion.

Weiss Y. and Adelson E.H..
MIT Media Lab Perceptual Computing Section TR #315 (1994) (postscript 322K)

Representation of similarity as a goal of early visual processing.

Weiss Y. and Edelman S.
Network: Computation in Neural Systems 6, 19-41 (1995)

Models of perceptual learning in vernier hyperacuity.

Weiss Y., Edelman S. and Fahle M.
Neural Computation 5, 695-718 (1993)

Vision, Hyperacuity

Edelman S. and Weiss Y.
In: Arbib, M. (ed): Handbook of Neural Networks and Brain Theory
MIT Press. 1995 (postscript 40K)

Demos

Perceptual Grouping and Gelatinous Ellipses

Tutorials

Perceptual Science Home Page