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Karim Rajaei
Karim Rajaei
School of Cognitive Sciences, IPM, Iran
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Beyond core object recognition: Recurrent processes account for object recognition under occlusion
K Rajaei, Y Mohsenzadeh, R Ebrahimpour, SM Khaligh-Razavi
PLoS computational biology 15 (5), e1007001, 2019
982019
How can selection of biologically inspired features improve the performance of a robust object recognition model?
M Ghodrati, SM Khaligh-Razavi, R Ebrahimpour, K Rajaei, M Pooyan
PloS one 7 (2), e32357, 2012
502012
Feedforward object-vision models only tolerate small image variations compared to human
M Ghodrati, A Farzmahdi, K Rajaei, R Ebrahimpour, SM Khaligh-Razavi
Frontiers in computational neuroscience 8, 74, 2014
472014
A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans
A Farzmahdi, K Rajaei, M Ghodrati, R Ebrahimpour, SM Khaligh-Razavi
Scientific reports 6 (1), 25025, 2016
292016
The impact of the lateral geniculate nucleus and corticogeniculate interactions on efficient coding and higher-order visual object processing
S Zabbah, K Rajaei, A Mirzaei, R Ebrahimpour, SM Khaligh-Razavi
Vision research 101, 82-93, 2014
232014
A stable biologically motivated learning mechanism for visual feature extraction to handle facial categorization
K Rajaei, SM Khaligh-Razavi, M Ghodrati, R Ebrahimpour, ...
PLOS one 7 (6), e38478, 2012
212012
The importance of visual features in generic vs. specialized object recognition: a computational study
M Ghodrati, K Rajaei, R Ebrahimpour
Frontiers in computational neuroscience 8, 78, 2014
92014
A specialized face-processing network consistent with the representational geometry of monkey face patches
A Farzmahdi, K Rajaei, M Ghodrati, R Ebrahimpour, SM Khaligh-Razavi
arXiv preprint arXiv:1502.01241, 2015
32015
The essential role of recurrent processing during object recognition under occlusion
K Rajaei, Y Mohsenzadeh, R Ebrahimpour, SMK Razavi
Journal of Vision 18 (10), 906-906, 2018
2018
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Artikelen 1–9