Arash Akbarinia

According to our database, Arash Akbarinia authored at least 18 papers between 2016 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2025

Exploring the categorical nature of colour perception: Insights from artificial networks.

Arash Akbarinia

Neural Networks, 2025

2024

Optimising EEG decoding with refined sampling and multimodal feature integration.

Arash Akbarinia

CoRR, 2024

2023

Dense extreme inception network for edge detection.

Xavier Soria, Ángel D. Sappa, Patricio Humanante, Arash Akbarinia

Pattern Recognit., July, 2023

Contrast sensitivity function in deep networks.

Arash Akbarinia, Yaniv Morgenstern, Karl R. Gegenfurtner

Neural Networks, July, 2023

2021

Color Conversion in Deep Autoencoders.

Arash Akbarinia, Raquel Gil Rodríguez

Proceedings of the 29th Color and Imaging Conference, 2021

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

The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders.

Arash Akbarinia, Raquel Gil Rodríguez, Alban Flachot, Matteo Toscani

CoRR, 2020

Pedestrians Egocentric Vision: Individual and Collective Analysis.

Matteo Valsecchi, Arash Akbarinia, Raquel Gil Rodríguez, Karl R. Gegenfurtner

Proceedings of the ETRA '20: 2020 Symposium on Eye Tracking Research and Applications, 2020

2019

Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar.

Arash Akbarinia, Karl R. Gegenfurtner

CoRR, 2019

Manifestation of Image Contrast in Deep Networks.

Arash Akbarinia, Karl R. Gegenfurtner

CoRR, 2019

2018

Colour Constancy Beyond the Classical Receptive Field.

Arash Akbarinia, C. Alejandro Párraga

IEEE Trans. Pattern Anal. Mach. Intell., 2018

Feedback and Surround Modulated Boundary Detection.

Arash Akbarinia, C. Alejandro Párraga

Int. J. Comput. Vis., 2018

How is Contrast Encoded in Deep Neural Networks?

Arash Akbarinia, Karl R. Gegenfurtner

CoRR, 2018

2017

Computational model of visual perception: from colour to form.

Arash Akbarinia

PhD thesis, 2017

Colour Terms: a Categorisation Model Inspired by Visual Cortex Neurons.

Arash Akbarinia, C. Alejandro Párraga

CoRR, 2017

Multispectral single-sensor RGB-NIR imaging: New challenges and opportunities.

Xavier Soria, Angel Domingo Sappa, Arash Akbarinia

Proceedings of the Seventh International Conference on Image Processing Theory, 2017

Colour Constancy: Biologically-inspired Contrast Variant Pooling Mechanism.

Arash Akbarinia, Raquel Gil Rodríguez, C. Alejandro Párraga

Proceedings of the British Machine Vision Conference 2017, 2017

2016

Biologically plausible boundary detection.

Arash Akbarinia, C. Alejandro Párraga

Proceedings of the British Machine Vision Conference 2016, 2016