Gennady Erlikhman
Title
Cited by
Cited by
Year
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
1032018
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
382014
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
342013
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
332011
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
172016
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
162014
Decoding information about dynamically occluded objects in visual cortex
G Erlikhman, GP Caplovitz
NeuroImage 146, 778-788, 2017
152017
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
112018
Modeling spatiotemporal boundary formation
G Erlikhman, PJ Kellman
Vision research 126, 131-142, 2016
112016
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, 249-274, 2013
112013
On the legibility of mirror-reflected and rotated text
G Erlikhman, L Strother, I Barzakov, GP Caplovitz
Symmetry 9 (3), 28, 2017
72017
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
72016
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
62020
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
62014
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
62009
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
42017
Prior expectations in slant perception: Has the visual system internalized natural scene geometry?
A Girshick, J Burge, G Erlikhman, M Banks
Journal of Vision 8 (6), 77-77, 2008
42008
Deep Convolutional Networks do not Perceive Illusory Contours.
N Baker, G Erlikhman, PJ Kellman, H Lu
CogSci, 2018
32018
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
32017
The effect of perceptual contour orientation uncertainty on the tilt aftereffect
G Erlikhman, G Singh, T Ghose, Z Liu
Vision research 158, 126-134, 2019
22019
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Articles 1–20