Gregory J. Zelinsky
Affiliations: | Stony Brook University, Stony Brook, NY, United States |
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"Gregory Zelinsky"Mean distance: 13.73 (cluster 29) | S | N | B | C | P |
Parents
Sign in to add mentor| Heinrich H. Buelthoff | grad student | 1990-1994 | Brown |
| Dana H. Ballard | post-doc | SUNY - Stonybrook |
Children
Sign in to add trainee| Xin Chen | grad student | SUNY Stony Brook | |
| Ritik Raina | grad student | 2023- | SUNY Stony Brook |
| Christopher A. Dickinson | grad student | 2004 | SUNY Stony Brook |
| Mark B. Neider | grad student | 2006 | SUNY Stony Brook |
| Hyejin Yang | grad student | 2010 | SUNY Stony Brook |
| Joseph C. Schmidt | grad student | 2012 | SUNY Stony Brook |
| Robert G Alexander | grad student | 2007-2013 | SUNY Stony Brook |
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Publications
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| Adeli H, Ahn S, Zelinsky GJ. (2023) A brain-inspired object-based attention network for multiobject recognition and visual reasoning. Journal of Vision. 23: 16 |
| Yang Z, Mondal S, Ahn S, et al. (2022) Target-absent Human Attention. Computer Vision - Eccv ... : ... European Conference On Computer Vision : Proceedings. European Conference On Computer Vision. 13664: 52-68 |
| Chakraborty S, Samaras D, Zelinsky GJ. (2022) Weighting the factors affecting attention guidance during free viewing and visual search: The unexpected role of object recognition uncertainty. Journal of Vision. 22: 13 |
| Miuccio MT, Zelinsky GJ, Schmidt J. (2022) Are all real-world objects created equal? Estimating the "set-size" of the search target in visual working memory. Psychophysiology. e13998 |
| Yang Z, Huang L, Chen Y, et al. (2020) Predicting Goal-directed Human Attention Using Inverse Reinforcement Learning. Proceedings. Ieee Computer Society Conference On Computer Vision and Pattern Recognition. 2020: 190-199 |
| Alexander RG, Nahvi RJ, Zelinsky GJ. (2019) Specifying the precision of guiding features for visual search. Journal of Experimental Psychology. Human Perception and Performance |
| Chen Y, Zelinsky GJ. (2019) Is there a shape to the attention spotlight? Computing saliency over proto-objects predicts fixations during scene viewing. Journal of Experimental Psychology. Human Perception and Performance. 45: 139-154 |
| Chen Y, Zelinsky G. (2019) Multiple-object Control Predicts Movements of Attention During Free Viewing Journal of Vision. 19: 269d |
| Ahn S, Zelinsky GJ. (2019) Predicting Mental States from Eye Movements During Reading Journal of Vision. 19: 127b |
| Yu C, Liu H, Samaras D, et al. (2019) Modelling attention control using a convolutional neural network designed after the ventral visual pathway Visual Cognition. 27: 416-434 |