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Vision Sciences Society Annual Meeting Abstract September 2019

Examining Class Dependant Sub-Paths in Deep Neural Networks

Mathew Monfort; Kandan Ramakrishnan; Alex Andonian; Aude Oliva

Journal of Vision. 2019; 19(10):28b. doi: https://doi.org/10.1167/19.10.28b

Vision Sciences Society Annual Meeting Abstract September 2019

A cognitively-aligned representational space for DNNs

Kandan Ramakrishnan; Yalda Mohsenzadeh; Mathew Monfort; Aude Oliva

Journal of Vision. 2019; 19(10):61. doi: https://doi.org/10.1167/19.10.61

Vision Sciences Society Annual Meeting Abstract September 2018

A Large Scale Video Dataset for Event Recognition

Mathew Monfort; Bolei Zhou; Sarah Bargal; Alex Andonian; Kandan Ramakrishnan; Carl Vondrick; Aude Oliva

Journal of Vision. 2018; 18(10):753. doi: https://doi.org/10.1167/18.10.753

Vision Sciences Society Annual Meeting Abstract September 2016

Mapping human visual representations by deep neural networks

Kandan Ramakrishnan; H. Steven Scholte; Arnold Smeulders; Sennay Ghebreab

Journal of Vision. 2016; 16(12):373. doi: https://doi.org/10.1167/16.12.373

Vision Sciences Society Annual Meeting Abstract September 2016

Feature representations in networks trained with image sets of animate, inanimate or scenes differ in terms of computational filters but not in location in the brain

Max Losch; Noor Seijdel; Kandan Ramakrishnan; Cees Snoek; H.Steven Scholte

Journal of Vision. 2016; 16(12):175. doi: https://doi.org/10.1167/16.12.175

Vision Sciences Society Annual Meeting Abstract September 2016

Overlap in performance of CNN's, human behavior and EEG classification

Noor Seijdel; Kandan Ramakrishnan; Max Losch; Steven Scholte

Journal of Vision. 2016; 16(12):501. doi: https://doi.org/10.1167/16.12.501

Vision Sciences Society Annual Meeting Abstract September 2016

What is unique in computational models of object recognition ?

Kandan Ramakrishnan; H.Steven Scholte; Sennay Ghebreab

Journal of Vision. 2016; 16(12):757. doi: https://doi.org/10.1167/16.12.757

Vision Sciences Society Annual Meeting Abstract September 2016

CNNs trained on places and animacy explain different patterns of variance for the same dataset.

H.Steven Scholte; Max Losch; Noor Seijdel; Kandan Ramakrishnan; Cees Snoek

Journal of Vision. 2016; 16(12):758. doi: https://doi.org/10.1167/16.12.758

Vision Sciences Society Annual Meeting Abstract September 2015

Convolutional Neural Networks in the Brain: an fMRI study

Kandan Ramakrishnan; Steven Scholte; Victor Lamme; Arnold Smeulders; Sennay Ghebreab

Journal of Vision. 2015; 15(12):371. doi: https://doi.org/10.1167/15.12.371

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