126 citations · 195 across the 5 of their papers we have counts for
6 papers · 1 filter
Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification
Leire Benito-Del-Valle, Aitor Alvarez-Gila, Itziar Eguskiza +1
Histopathology image classification is crucial for the accurate identification and diagnosis of various diseases but requires large and diverse datasets. Obtaining such datasets, h…
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation
Aitor Alvarez-Gila, Joost van de Weijer, Yaxing Wang +1
We present MVMO (Multi-View, Multi-Object dataset): a synthetic dataset of 116,000 scenes containing randomly placed objects of 10 distinct classes and captured from 25 camera loca…
Self-supervised blur detection from synthetically blurred scenes
Aitor Alvarez-Gila, Adrian Galdran, Estibaliz Garrote +1
Blur detection aims at segmenting the blurred areas of a given image. Recent deep learning-based methods approach this problem by learning an end-to-end mapping between the blurred…
On the Duality Between Retinex and Image Dehazing
Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria +2
Image dehazing deals with the removal of undesired loss of visibility in outdoor images due to the presence of fog. Retinex is a color vision model mimicking the ability of the Hum…
Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB
Aitor Alvarez-Gila, Joost van de Weijer, Estibaliz Garrote
Hyperspectral signal reconstruction aims at recovering the original spectral input that produced a certain trichromatic (RGB) response from a capturing device or observer. Given th…
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Adrian Galdran, Aitor Alvarez-Gila, Maria Ines Meyer +7
Dermoscopic skin images are often obtained with different imaging devices, under varying acquisition conditions. In this work, instead of attempting to perform intensity and color…