120 citations · 353 across the 35 of their papers we have counts for
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Data is Overrated: Perceptual Metrics Can Lead Learning in the Absence of Training Data
Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2
Perceptual metrics are traditionally used to evaluate the quality of natural signals, such as images and audio. They are designed to mimic the perceptual behaviour of human observe…
What You Hear Is What You See: Audio Quality Metrics From Image Quality Metrics
Tashi Namgyal, Alexander Hepburn, Raul Santos-Rodriguez +2
In this study, we investigate the feasibility of utilizing state-of-the-art image perceptual metrics for evaluating audio signals by representing them as spectrograms. The encourag…
Psychophysics of Artificial Neural Networks Questions Classical Hue Cancellation Experiments
Jorge Vila-Tomás, Pablo Hernández-Cámara, Jesús Malo
We show that classical hue cancellation experiments lead to human-like opponent curves even if the task is done by trivial (identity) artificial networks. Specifically, human-like…
Image Statistics Predict the Sensitivity of Perceptual Quality Metrics
Alexander Hepburn, Valero Laparra, Raúl Santos-Rodriguez +1
Previously, Barlow and Attneave hypothesised a link between biological vision and information maximisation. Following Shannon, information was defined using the probability of natu…
Analysis of Deep Image Quality Models
Pablo Hernández-Cámara, Jorge Vila-Tomás, Valero Laparra +1
Subjective image quality measures based on deep neural networks are very related to models of visual neuroscience. This connection benefits engineering but, more interestingly, the…