| Deep convolutional networks do not classify based on global object shape N Baker, H Lu, G Erlikhman, PJ Kellman PLoS computational biology 14 (12), e1006613, 2018 | 403 | 2018 |
| Local features and global shape information in object classification by deep convolutional neural networks N Baker, H Lu, G Erlikhman, PJ Kellman Vision research 172, 46-61, 2020 | 83 | 2020 |
| Forensic comparison and matching of fingerprints: using quantitative image measures for estimating error rates through understanding and predicting difficulty PJ Kellman, JL Mnookin, G Erlikhman, P Garrigan, T Ghose, E Mettler, ... PloS one 9 (5), e94617, 2014 | 69 | 2014 |
| Semantic cuing and the scale insensitivity of recency and contiguity. SM Polyn, G Erlikhman, MJ Kahana Journal of Experimental Psychology: Learning, Memory, and Cognition 37 (3), 766, 2011 | 67 | 2011 |
| Automatic feature-based grouping during multiple object tracking. G Erlikhman, BP Keane, E Mettler, TS Horowitz, PJ Kellman Journal of Experimental Psychology: Human Perception and Performance 39 (6 …, 2013 | 51 | 2013 |
| Decoding information about dynamically occluded objects in visual cortex G Erlikhman, GP Caplovitz NeuroImage 146, 778-788, 2017 | 36 | 2017 |
| Towards a unified perspective of object shape and motion processing in human dorsal cortex G Erlikhman, GP Caplovitz, G Gurariy, J Medina, JC Snow Consciousness and cognition 64, 106-120, 2018 | 33 | 2018 |
| Deep Convolutional Networks do not Perceive Illusory Contours. N Baker, G Erlikhman, PJ Kellman, H Lu CogSci, 2018 | 25 | 2018 |
| The neural representation of objects formed through the spatiotemporal integration of visual transients G Erlikhman, G Gurariy, REB Mruczek, GP Caplovitz NeuroImage 142, 67-78, 2016 | 24 | 2016 |
| Multiple forms of contour grouping deficits in schizophrenia: what is the role of spatial frequency? BP Keane, G Erlikhman, S Kastner, D Paterno, SM Silverstein Neuropsychologia 65, 221-233, 2014 | 24 | 2014 |
| Challenges in understanding visual shape perception and representation: Bridging subsymbolic and symbolic coding PJ Kellman, P Garrigan, G Erlikhman Shape perception in human and computer vision: An interdisciplinary …, 2013 | 16 | 2013 |
| Error rates for latent fingerprinting as a function of visual complexity and cognitive difficulty J Mnookin, PJ Kellman, I Dror, G Erlikhman, P Garrigan, T Ghose, ... Report. NIJ Award, 2009 | 15 | 2009 |
| On the legibility of mirror-reflected and rotated text G Erlikhman, L Strother, I Barzakov, GP Caplovitz Symmetry 9 (3), 28, 2017 | 12 | 2017 |
| Modeling spatiotemporal boundary formation G Erlikhman, PJ Kellman Vision research 126, 131-142, 2016 | 12 | 2016 |
| Object-based attention generalizes to multisurface objects G Erlikhman, T Lytchenko, NH Heller, MR Maechler, GP Caplovitz Attention, Perception, & Psychophysics 82, 1599-1612, 2020 | 8 | 2020 |
| From flashes to edges to objects: recovery of local edge fragments initiates spatiotemporal boundary formation G Erlikhman, PJ Kellman Frontiers in Psychology 7, 910, 2016 | 8 | 2016 |
| The maintenance and updating of representations of no longer visible objects and their parts JD McCarthy, G Erlikhman, GP Caplovitz Progress in brain research 236, 163-192, 2017 | 7 | 2017 |
| Interactions of flicker and motion G Erlikhman, S Gutentag, CD Blair, GP Caplovitz Vision research 155, 24-34, 2019 | 6 | 2019 |
| Classification images reveal that deep learning networks fail to perceive illusory contours P Kellman, N Baker, G Erlikhman, H Lu Journal of vision 17 (10), 569-569, 2017 | 6 | 2017 |
| Non-rigid illusory contours and global shape transformations defined by spatiotemporal boundary formation G Erlikhman, YZ Xing, PJ Kellman Frontiers in human neuroscience 8, 978, 2014 | 6 | 2014 |
Philip J. KellmanUniversity of California, Los AngelesEmail yang diverifikasi di cognet.ucla.edu