Terrell N. Mundhenk, Ph.D.
Affiliations: | 2009 | Computer Science | University of Southern California, Los Angeles, CA, United States |
Area:
Visual systemGoogle:
"Terrell Mundhenk"Mean distance: 14.91 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Laurent Itti | grad student | 2009 | USC | |
| (Computational modeling and utilization of attention, surprise and attention gating.) | ||||
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Publications
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| Mundhenk T, Einhauser W, Itti L. (2010) What the Searchlight saw: Revealing the extent of natural image information that passes through bottom-up visual attention mechanisms to higher visual processing Journal of Vision. 9: 204-204 |
| Mundhenk T, Einhauser W, Itti L. (2010) Natural Image RSVP task performance is predicted by measurements of bottom-up Bayesian Surprise exhibited by image sequences Journal of Vision. 8: 682-682 |
| Mundhenk TN, Einhäuser W, Itti L. (2009) Automatic computation of an image's statistical surprise predicts performance of human observers on a natural image detection task. Vision Research. 49: 1620-37 |
| Einhäuser W, Mundhenk TN, Baldi P, et al. (2007) A bottom-up model of spatial attention predicts human error patterns in rapid scene recognition. Journal of Vision. 7: 6.1-13 |
| Mundhenk TN, Itti L. (2005) Computational modeling and exploration of contour integration for visual saliency. Biological Cybernetics. 93: 188-212 |
| Mundhenk TN, Everist J, Landauer C, et al. (2005) Distributed biologically based real time tracking in the absence of prior target information Proceedings of Spie - the International Society For Optical Engineering. 6006 |
| Natarajan P, Mundhenk TN, Bellman K, et al. (2004) Camera localization methods for intelligent room systems using RF techniques Proceedings of Spie - the International Society For Optical Engineering. 5608: 177-187 |
| Mundhenk TN, Landauer C, Bellman K, et al. (2004) Teaching the computer subjective notions of feature connectedness in a visual scene for real time vision Proceedings of Spie - the International Society For Optical Engineering. 5608: 136-147 |
| Mundhenk TN, Navalpakkam V, Makaliwe H, et al. (2004) Biologically inspired feature based categorization of objects Proceedings of Spie - the International Society For Optical Engineering. 5292: 330-341 |
| Mundhenk TN, Itti L. (2003) CINNIC, a new computational algorithm for the modeling of early visual contour integration in humans Neurocomputing. 52: 599-604 |