activity
20172025
most citedAdversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB

126 citations · 195 across the 5 of their papers we have counts for

collaborators

7 papers

eess.IV2025

AI-Assisted Colonoscopy: Polyp Detection and Segmentation using Foundation Models

Uxue Delaquintana-Aramendi, Leire Benito-del-Valle, Aitor Alvarez-Gila +5

In colonoscopy, 80% of the missed polyps could be detected with the help of Deep Learning models. In the search for algorithms capable of addressing this challenge, foundation mode…

cs.CV2024

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…

cs.CV2022

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…

cs.CV2019★ 10 cited

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…

cs.CV2017

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…

cs.CV2017★ 126 cited

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…

cs.CV2017★ 59 cited

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…