| No evidence for an item limit in change detection S Keshvari, R Van den Berg, WJ Ma PLoS computational biology 9 (2), e1002927, 2013 | 107 | 2013 |
| Probabilistic computation in human perception under variability in encoding precision S Keshvari, R Van den Berg, WJ Ma PLoS One 7 (6), e40216, 2012 | 97 | 2012 |
| Pooling of continuous features provides a unifying account of crowding S Keshvari, R Rosenholtz Journal of Vision 16 (39), 2016 | 89 | 2016 |
| Dissociable neural patterns of facial identity across changes in viewpoint VS Natu, F Jiang, A Narvekar, S Keshvari, V Blanz, AJ O'Toole Journal of Cognitive Neuroscience 22 (7), 1570-1582, 2010 | 75 | 2010 |
| Colors--Messengers of Concepts: Visual Design Mining for Learning Color Semantics A Jahanian, S Keshvari, SVN Vishwanathan, JP Allebach ACM Transactions on Computer-Human Interaction (TOCHI) 24 (1), 1-39, 2017 | 43 | 2017 |
| Challenges to pooling models of crowding: Implications for visual mechanisms R Rosenholtz, D Yu, S Keshvari Journal of vision 19 (7), 15-15, 2019 | 35 | 2019 |
| Web pages: What can you see in a single fixation? A Jahanian, S Keshvari, R Rosenholtz Cognitive Research: Principles and Implications 3 (1), 1-15, 2018 | 13 | 2018 |
| Sideeye: A generative neural network based simulator of human peripheral vision L Fridman, B Jenik, S Keshvari, B Reimer, C Zetzsche, R Rosenholtz arXiv preprint arXiv:1706.04568, 2017 | 7 | 2017 |
| A high-dimensional pooling model accounts for seemingly conflicting substitution effects in crowding S Keshvari, R Rosenholtz Journal of Vision 13 (9), 576-576, 2013 | 3 | 2013 |
| A Fast Foveated Fully Convolutional Network Model for Human Peripheral Vision L Fridman, B Jenik, S Keshvari, B Riemer, C Zetzsche, R Rosenholtz Verlag nicht ermittelbar, 2017 | 2 | 2017 |
| Peripheral material perception S Keshvari, M Wijntjes Journal of Vision 16 (12), 641-641, 2016 | 2 | 2016 |
| Representations of facial identity over changes in viewpoint V Natu, F Jiang, A Narvekar, S Keshvari, A O'Toole J. Vis 8, 159, 2008 | 1 | 2008 |
| " Challenges to pooling models of crowding: Implications for visual mechanisms": Correction. R Rosenholtz, D Yu, S Keshvari Assn for Research in Vision & Ophthalmology (ARVO), 2021 | | 2021 |
| Challenges to pooling models of crowding: Implications for visual mechanisms (vol 19, 15, 2019) R Rosenholtz, D Yu, S Keshvari JOURNAL OF VISION 21 (11), 2021 | | 2021 |
| Configural processing in humans and deep convolutional neural networks S Keshvari, X Fan, JH Elder Journal of Vision 21 (9), 2887-2887, 2021 | | 2021 |
| Corrections to: Challenges to pooling models of crowding R Rosenholtz, D Yu, S Keshvari | | 2021 |
| Configural processing of 2D shape S Keshvari, I Fruend, JH Elder Journal of Vision 20 (11), 1647-1647, 2020 | | 2020 |
| Representation of non-local shape information in deep neural networks S Keshvari, I Fründ, JH Elder PERCEPTION 48, 78-78, 2019 | | 2019 |
| Example outputs of the Texture Tiling Model (" mongrels") R Rosenholtz, D Yu, S Keshvari | | 2019 |
| Modeling perceptual grouping in peripheral vision for information visualization S Keshvari, D Yu, R Rosenholtz Journal of Vision 18 (10), 441-441, 2018 | | 2018 |
Ruth RosenholtzPrincipal Research Scientist, Dept. of Brain & Cognitive Sciences, CSAIL, MITVerified email at mit.edu
