Aitor Alvarez-Gila

According to our database, Aitor Alvarez-Gila authored at least 13 papers between 2015 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unleashing the Potential of Synthetic Images: A Study on Histopathology Image Classification.

Leire Benito-Del-Valle, Aitor Alvarez-Gila, Itziar Eguskiza, Cristina López Saratxaga

CoRR, 2024

2022

Self-supervised learning for image-to-image translation in the small data regime

Aitor Alvarez-Gila

PhD thesis, 2022

MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation.

Aitor Alvarez-Gila, Joost van de Weijer, Yaxing Wang, Estíbaliz Garrote

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

2021

A Probabilistic Model and Capturing Device for Remote Simultaneous Estimation of Spectral Emissivity and Temperature of Hot Emissive Materials.

Artzai Picón, Aitor Alvarez-Gila, Jose Antonio Arteche, Gabriel A. López, Asier Vicente

IEEE Access, 2021

2020

Few-Shot Learning approach for plant disease classification using images taken in the field.

David Argüeso, Artzai Picón, Unai Irusta, Alfonso Medela, Miguel G. San-Emeterio, Arantza Bereciartua, Aitor Alvarez-Gila

Comput. Electron. Agric., 2020

2019

Self-supervised blur detection from synthetically blurred scenes.

Aitor Alvarez-Gila, Adrian Galdran, Estíbaliz Garrote, Joost van de Weijer

Image Vis. Comput., 2019

Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions.

Artzai Picón, Maximiliam Seitz, Aitor Alvarez-Gila, Patrick Mohnke, Amaia Ortiz-Barredo, Jone Echazarra

Comput. Electron. Agric., 2019

Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild.

Artzai Picón, Aitor Alvarez-Gila, Maximiliam Seitz, Amaia Ortiz-Barredo, Jone Echazarra, Alexander Johannes

Comput. Electron. Agric., 2019

2018

On the Duality Between Retinex and Image Dehazing.

Adrian Galdran, Aitor Alvarez-Gila, Alessandro Bria, Javier Vazquez-Corral, Marcelo Bertalmío

Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis.

Adrian Galdran, Aitor Alvarez-Gila, Maria Inês Meyer, Cristina López Saratxaga, Teresa Araujo, Estíbaliz Garrote, Guilherme Aresta, Pedro Costa, Ana Maria Mendonça, Aurélio J. C. Campilho

CoRR, 2017

Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case.

Alexander Johannes, Artzai Picón, Aitor Alvarez-Gila, Jone Echazarra, Sergio Rodríguez-Vaamonde, Ana Díez Navajas, Amaia Ortiz-Barredo

Comput. Electron. Agric., 2017

Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB.

Aitor Alvarez-Gila, Joost van de Weijer, Estíbaliz Garrote

Proceedings of the 2017 IEEE International Conference on Computer Vision Workshops, 2017

2015

Automatic Red-Channel underwater image restoration.

Adrian Galdran, David Pardo, Artzai Picón, Aitor Alvarez-Gila

J. Vis. Commun. Image Represent., 2015