3 citations · 7 across the 3 of their papers we have counts for
4 papers
Deep Neural Models for color discrimination and color constancy
Alban Flachot, Arash Akbarinia, Heiko H. Schütt +3
Color constancy is our ability to perceive constant colors across varying illuminations. Here, we trained deep neural networks to be color constant and evaluated their performance…
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar
Arash Akbarinia, Karl R. Gegenfurtner
Machine learning is advancing towards a data-science approach, implying a necessity to a line of investigation to divulge the knowledge learnt by deep neuronal networks. Limiting t…
Manifestation of Image Contrast in Deep Networks
Arash Akbarinia, Karl R. Gegenfurtner
Contrast is subject to dramatic changes across the visual field, depending on the source of light and scene configurations. Hence, the human visual system has evolved to be more se…
How is Contrast Encoded in Deep Neural Networks?
Arash Akbarinia, Karl R. Gegenfurtner
Contrast is a crucial factor in visual information processing. It is desired for a visual system - irrespective of being biological or artificial - to "perceive" the world robustly…