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12/28/2020
Deep Neural Models for color discrimination and color constancy
Color constancy is our ability to perceive constant colors across varyin...
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09/30/2020
The Utility of Decorrelating Colour Spaces in Vector Quantised Variational Autoencoders
Vector quantised variational autoencoders (VQ-VAE) are characterised by ...
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03/12/2019
Paradox in Deep Neural Networks: Similar yet Different while Different yet Similar
Machine learning is advancing towards a data-science approach, implying ...
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02/12/2019
Manifestation of Image Contrast in Deep Networks
Contrast is subject to dramatic changes across the visual field, dependi...
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09/05/2018
How is Contrast Encoded in Deep Neural Networks?
Contrast is a crucial factor in visual information processing. It is des...
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11/29/2017
Colour Constancy: Biologically-inspired Contrast Variant Pooling Mechanism
Pooling is a ubiquitous operation in image processing algorithms that al...
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09/19/2017