| Processing of chromatic information in a deep convolutional neural network A Flachot, KR Gegenfurtner JOSA A 35 (4), B334-B346, 2018 | 35 | 2018 |
| 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 | 32 | 2021 |
| 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 | 21 | 2022 |
| Emergent color categorization in a neural network trained for object recognition JP de Vries, A Akbarinia, A Flachot, KR Gegenfurtner Elife 11, e76472, 2022 | 11 | 2022 |
| 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 | 6 | 2016 |
| Color constancy in deep neural networks AC Flachot, HH Schuett, RW Fleming, F Wichmann, KR Gegenfurtner Journal of Vision 19 (10), 298-298, 2019 | 3 | 2019 |
| Master thesis: Extensions of a linear model of surface reflectance A Flachot PsyArXiv, 2019 | 1 | 2019 |
| Social Robotics and Technology Acceptation K Parisot, A Flachot Master Recherche IC2A Ingénierie de la Cognition, de la Création et des …, 2016 | 1 | 2016 |
| 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 | | |
