The importance of visual features in generic vs. specialized object recognition: a computational study

Por Ghodrati, Masoud, Rajaei, Karim, Ebrahimpour, Reza
Publicado em 2014

Low-Level Contrast Statistics of Natural Images Can Modulate the Frequency of Event-Related Potentials (ERP) in Humans

Por Ghodrati, Masoud, Ghodousi, Mahrad, Yoonessi, Ali
Publicado no Front Hum Neurosci (2016)

The (un)suitability of modern liquid crystal displays (LCDs) for vision research

Por Ghodrati, Masoud, Morris, Adam P., Price, Nicholas Seow Chiang
Publicado no Front Psychol (2015)

Deep Networks Can Resemble Human Feed-forward Vision in Invariant Object Recognition

Por Kheradpisheh, Saeed Reza, Ghodrati, Masoud, Ganjtabesh, Mohammad, Masquelier, Timothée
Publicado no Sci Rep (2016)

Humans and Deep Networks Largely Agree on Which Kinds of Variation Make Object Recognition Harder

Por Kheradpisheh, Saeed R., Ghodrati, Masoud, Ganjtabesh, Mohammad, Masquelier, Timothée
Publicado no Front Comput Neurosci (2016)

How Can Selection of Biologically Inspired Features Improve the Performance of a Robust Object Recognition Model?

Por Ghodrati, Masoud, Khaligh-Razavi, Seyed-Mahdi, Ebrahimpour, Reza, Rajaei, Karim, Pooyan, Mohammad
Publicado em 2012

Feedforward object-vision models only tolerate small image variations compared to human

Por Ghodrati, Masoud, Farzmahdi, Amirhossein, Rajaei, Karim, Ebrahimpour, Reza, Khaligh-Razavi, Seyed-Mahdi
Publicado em 2014

A specialized face-processing model inspired by the organization of monkey face patches explains several face-specific phenomena observed in humans

Por Farzmahdi, Amirhossein, Rajaei, Karim, Ghodrati, Masoud, Ebrahimpour, Reza, Khaligh-Razavi, Seyed-Mahdi
Publicado no Sci Rep (2016)

A Stable Biologically Motivated Learning Mechanism for Visual Feature Extraction to Handle Facial Categorization

Por Rajaei, Karim, Khaligh-Razavi, Seyed-Mahdi, Ghodrati, Masoud, Ebrahimpour, Reza, Shiri Ahmad Abadi, Mohammad Ebrahim
Publicado em 2012