Biologically plausible boundary detection. - Arash Akbarinia; C. Alejandro Párraga (BMVC, 2016)

Colour Constancy: Biologically-inspired Contrast Variant Pooling Mechanism. - Arash Akbarinia; Raquel Gil Rodríguez; C. Alejandro Párraga (BMVC, 2017)

Multispectral single-sensor RGB-NIR imaging: New challenges and opportunities. - Xavier Soria 001; Angel Domingo Sappa; Arash Akbarinia (IPTA, 2017)

Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons. - Arash Akbarinia; C. Alejandro Párraga (CoRR, 2017)

Computational model of visual perception: from colour to form. - Arash Akbarinia (2017)

How is Contrast Encoded in Deep Neural Networks? - Arash Akbarinia; Karl R. Gegenfurtner (CoRR, 2018)

Feedback and Surround Modulated Boundary Detection. - Arash Akbarinia; C. Alejandro Párraga (Int. J. Comput. Vis., 2018)

Colour Constancy Beyond the Classical Receptive Field. - Arash Akbarinia; C. Alejandro Párraga (IEEE Trans. Pattern Anal. Mach. Intell., 2018)

Manifestation of Image Contrast in Deep Networks. - Arash Akbarinia; Karl R. Gegenfurtner (CoRR, 2019)

Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar. - Arash Akbarinia; Karl R. Gegenfurtner (CoRR, 2019)

Pedestrians Egocentric Vision: Individual and Collective Analysis. - Matteo Valsecchi; Arash Akbarinia; Raquel Gil Rodríguez; Karl R. Gegenfurtner (ETRA Short Papers, 2020)

The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders. - Arash Akbarinia; Raquel Gil Rodríguez; Alban Flachot; Matteo Toscani (CoRR, 2020)

Deep Neural Models for color discrimination and color constancy. - Alban Flachot; Arash Akbarinia; Heiko H. Schütt; Roland W. Fleming; Felix A. Wichmann; Karl R. Gegenfurtner (CoRR, 2020)

Color Conversion in Deep Autoencoders. - Arash Akbarinia; Raquel Gil Rodríguez (CIC, 2021)

Contrast sensitivity function in deep networks. - Arash Akbarinia; Yaniv Morgenstern; Karl R. Gegenfurtner (Neural Networks, 2023)

Dense extreme inception network for edge detection. - Xavier Soria 001; Ángel D. Sappa; Patricio Humanante; Arash Akbarinia (Pattern Recognit., 2023)

Optimising EEG decoding with refined sampling and multimodal feature integration. - Arash Akbarinia (CoRR, 2024)

Exploring the categorical nature of colour perception: Insights from artificial networks. - Arash Akbarinia (Neural Networks, 2025)