 |
M a n i s h S i n g h A s s o c i a t e P r o f e s s o r Department of Psychology Member, Rutgers Center for Cognitive Science |
Email: m a n i s h <AT> r u c c s <DOT> r u t g e r s <DOT> e d u
Departmental address: 152 Frelinghuysen Road, Piscataway, New Jersey 08854
Ph.D., 1998: Department of Cognitive Sciences, University of California, Irvine
1998 - 2001: Post-doctoral fellow, Department of Brain and Cognitive Sciences, Massachusetts Institute of Technology
R e s e a r c h I n t e r e s t s
• Computational and psychophysical investigation of mid-level vision
• Probabilistic computation and representation of geometric structure
• Visual representation of shape
• Visual interpolation and extrapolation of contour and surface geometry
• Computation of layered surface structure under partial occlusion and transparency
• Visual prediction of the physical behavior of objects
R e c e n t P u b l i c a t i o n s
(Click here for downloadable papers.)
Cholewiak, S., Fleming, R. & Singh, M. (2013). Visual perception of the physical stability of asymmetric three-dimensional objects. Journal of Vision, 13(4):12, 1-13.
Kim, S.-H., Feldman, J., & Singh, M. (2013). Perceived causality can alter the perceived trajectory of apparent motion. Psychological Science, in press.
Singh, M. & Hoffman, D. (2013). Natural selection and shape perception. In: Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective. S. Dickinson & Z. Pizlo (Eds.). Springer Verlag.
Feldman, J., Singh, M., Briscoe, E., Froyen, V., Kim, S. & Wilder, J. (2013). An integrated Bayesian approach to shape representation and perceptual organization. In: Shape Perception in Human and Computer Vision: An Interdisciplinary Perspective. S. Dickinson & Z. Pizlo (Eds.). Springer Verlag.
Singh, M. (2013). Transparency and translucency. In: Encyclopedia of Computer Vision. K. Ikeuchi (Ed.). Springer Verlag, in press.
Hoffman, D. & Singh, M. (2012). Computational Evolutionary Perception. Perception (Special Issue on the 30th anniversary of Marr's "Vision"), 41(9), 1073-1091.
Wagemans, J., Elder, J., Kubovy, M., Palmer, S., Peterson, M., Singh, M., & von der Heydt, R. (2012). A century of Gestalt psychology in visual perception: Perceptual grouping and figure-ground organization. Psychological Bulletin, 38(6),1172-1217.
Singh, M. & Feldman, J. (2012). Principles of contour information: A response to Lim & Leek (2012). Psychological Review, 119(3), 678-683.
Kim, S.-H., Feldman, J., & Singh, M. (2012). Curved apparent motion induced by amodal completion. Attention, Perception, & Psychophysics, 74(2), 350-364.
Secord, A., Lu, C., Finkelstein, A., Singh, M. & Nealen, A. (2011). Perceptual models of viewpoint preference. ACM Transcations on Graphics, 30(5), 109:1-12.
Wilder, J., Feldman, J., & Singh, M. (2011). Superordinate shape classification using natural shape statistics. Cognition, 119(3), 325-340.
Barnett-Cowan, M., Fleming, R. W., Singh, M., & Buelthoff, H. H. (2011). Perceived object stability depends on multisensory estimates of gravity. PLoS ONE, 6(4), 1-5.
Juni, M., Singh, M., & Maloney, L. (2010). Robust visual estimation as source separation. Journal of Vision, 10(4):2, 1-20.
Froyen, V., Feldman, J., & Singh, M. (2010). A Bayesian framework for figure-ground interpretation. Advances in Neural Information Processing Systems, 23.