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Alban Flachot
Alban Flachot
Verified email at yorku.ca
Title
Cited by
Cited by
Year
Processing of chromatic information in a deep convolutional neural network
A Flachot, KR Gegenfurtner
JOSA A 35 (4), B334-B346, 2018
352018
Color for object recognition: Hue and chroma sensitivity in the deep features of convolutional neural networks
A Flachot, KR Gegenfurtner
Vision Research 182, 89-100, 2021
322021
Deep neural models for color classification and color constancy
A Flachot, A Akbarinia, HH Schütt, RW Fleming, FA Wichmann, ...
Journal of Vision 22 (4), 17-17, 2022
212022
Emergent color categorization in a neural network trained for object recognition
JP de Vries, A Akbarinia, A Flachot, KR Gegenfurtner
Elife 11, e76472, 2022
112022
An illuminant-independent analysis of reflectance as sensed by humans, and its applicability to computer vision
A Flachot, E Provenzi, JK O'Regan
2016 6th European Workshop on Visual Information Processing (EUVIP), 1-6, 2016
62016
Color constancy in deep neural networks
AC Flachot, HH Schuett, RW Fleming, F Wichmann, KR Gegenfurtner
Journal of Vision 19 (10), 298-298, 2019
32019
Master thesis: Extensions of a linear model of surface reflectance
A Flachot
PsyArXiv, 2019
12019
Social Robotics and Technology Acceptation
K Parisot, A Flachot
Master Recherche IC2A Ingénierie de la Cognition, de la Création et des …, 2016
12016
Deep learning models for lightness constancy can exploit both natural lighting cues and rendering artifacts.
A Flachot, J Patel, MA Brubaker, TSA Wallis, DH Brainard, RF Murray
Journal of Vision 24 (10), 1463-1463, 2024
2024
Lightness Illusions Through AI Eyes: Assessing ConvNet and ViT Concordance with Human Perception
J Patel, A Flachot, J Vazquez-Corral, KG Derpanis, R Murray
Journal of Vision 24 (10), 1245-1245, 2024
2024
A deep new look at color
JP de Vries, A Flachot, T Morimoto, KR Gegenfurtner
Behavioral and Brain Sciences 46, 2023
2023
A deep convolutional neural network trained to infer surface reflectance is deceived by mid-level lightness illusions
J Patel, A Flachot, J Vazquez-Corral, DH Brainard, TSA Wallis, ...
Journal of Vision 23 (9), 4817-4817, 2023
2023
Can deep neural networks for intrinsic image decomposition model human lightness constancy?
A Flachot, J Patel, K Patel, TSA Wallis, M Brubaker, DH Brainard, ...
Journal of Vision 23 (9), 5467-5467, 2023
2023
An intrinsic image network evaluated as a model of human lightness perception
RF Murray, DH Brainard, A Flachot, JY Patel
Electronic Imaging 35, 1-6, 2023
2023
On the Color Vision of Deep Neural Networks: parallels with Humans
A Flachot
2022
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
A Akbarinia, R Gil-Rodríguez, A Flachot, M Toscani
arXiv preprint arXiv:2009.14487, 2020
2020
Tuning of a Deep Neural Network to object and surroundings colors for object recognition.
A Flachot, K Gegenfurtner
Journal of Vision 18 (10), 419-419, 2018
2018
Learning Representation in Colour Conversion
A Akbarinia, R Gil-Rodriguez, A Flachot, M Toscani
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Articles 1–18