Gennady Erlikhman
Citata da
Citata da
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
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
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
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
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
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
Decoding information about dynamically occluded objects in visual cortex
G Erlikhman, GP Caplovitz
NeuroImage 146, 778-788, 2017
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
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
Deep Convolutional Networks do not Perceive Illusory Contours.
N Baker, G Erlikhman, PJ Kellman, H Lu
CogSci, 2018
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
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
Modeling spatiotemporal boundary formation
G Erlikhman, PJ Kellman
Vision research 126, 131-142, 2016
On the legibility of mirror-reflected and rotated text
G Erlikhman, L Strother, I Barzakov, GP Caplovitz
Symmetry 9 (3), 28, 2017
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
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
Object-based attention generalizes to multisurface objects
G Erlikhman, T Lytchenko, NH Heller, MR Maechler, GP Caplovitz
Attention, Perception, & Psychophysics 82, 1599-1612, 2020
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
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
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
Il sistema al momento non può eseguire l'operazione. Riprova più tardi.
Articoli 1–20