In view of the challenges posed by climate change and the increasingly ambitious climate
targets around the world, the search for effective climate policy instruments is gaining …

For image super-resolution (SR) bridging the gap between the performance on synthetic
datasets and real-world degradation scenarios remains a challenge. This work introduces a …

It has been demonstrated many times that the behavior of the human visual system is
connected to the statistics of natural images. Since machine learning relies on the statistics …

Traditionally, the vision community has devised algorithms to estimate the distance between
an original image and images that have been subject to perturbations. Inspiration was …

Explaining the decisions of models is becoming pervasive in the image processing domain,
whether it is by using posthoc methods or by creating inherently interpretable models. While …

A foveated image can be entirely reconstructed from a sparse set of samples distributed
according to the retinal sensitivity of the human visual system, which rapidly decreases with …

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 …

Traditionally, the vision community has devised algorithms to estimate the distance between
an original image and images that have been subject to perturbations. Inspiration was …