A. Alvarez-Gila, G. Cao, S. F. Hasan, and Y. Hu, “Combining color descriptors for improved codebook model-based image retrieval,” Conference on Colour in Graphics, Imaging, and Vision, vol. 2010, no. 1, pp. 306–313, Jun. 2010.
- B.S. in Github, Github University, 2012
- M.S. in Jekyll, Github University, 2014
- Ph.D in Version Control Theory, Github University, 2018 (expected)
- Summer 2015: Research Assistant
- Github University
- Duties included: Tagging issues
- Supervisor: Professor Git
- Fall 2015: Research Assistant
- Github University
- Duties included: Merging pull requests
- Supervisor: Professor Hub
- Skill 1
- Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
- Skill 3
A. Galdran, D. Pardo, A. Picón, and A. Alvarez-Gila, “Automatic Red-Channel underwater image restoration,” Journal of Visual Communication and Image Representation, vol. 26, pp. 132–145, Jan. 2015.
Visibility Recovery on Images Acquired in Attenuating Media. Application to Underwater and Fog Image Restoration
Adrián Galdran, Artzai Picón, Aitor Alvarez-Gila, Javier Vazquez-Corral, Marcelo Bertalmío, and David Pardo, “Visibility Recovery on Images Acquired in Attenuating Media. Application to Underwater and Fog Image Restoration,” presented at the V-MAD 6 Sexto Encuentro en Aplicaciones de la Matemática, Instituto de Matemáticas, Pontificia Universidad Católica de Valparaíso, Chile, 2016.
A. Alvarez-Gila, A. Lopez-Cruz, S. Rodriguez-Vaamonde, M. Linares, J. A. Gutierrez-Olabarria, and E. Garrote, “Deep Convolutional Neural Networks for surface quality inspection of hot long metal products,” presented at the First European Machine Vision Forum, Heidelberg, Germany, 2016.
A. Galdran, A. Alvarez-Gila, M.I. Meyer, C. L. Saratxaga, T. Araújo, E. Garrote, G. Aresta, P. Costa, A.M. Mendonça, A. Campilho, “Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis,” Mar. 2017.
A. Johannes, A. Picon, A. Alvarez-Gila, J. Echazarra, S. Rodriguez-Vaamonde, A. D. Navajas, and A. Ortiz-Barredo, “Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case,” Computers and Electronics in Agriculture, vol. 138, pp. 200–209, Jun. 2017.
A. Alvarez-Gila, J. van de Weijer, and E. Garrote, “Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB,” presented at the 1st International Workshop on Physics Based Vision meets Deep Learning at ICCV2017, Venice, Italy, 2017.
A. Picon et al., “Detección de fibrilación ventricular mediante técnicas de aprendizaje profundo,” in CASEIB 2017 - XXXV Congreso Anual de la Sociedad Espanola de Ingeniería Biomedica, Bilbao, Spain, 2017.
A. Galdran, A. Alvarez-Gila, A. Bria, J. Vazquez-Corral, and M. Bertalmio, “On the Duality Between Retinex and Image Dehazing,” arXiv:1712.02754, Dec. 2017.
Talk at UC San Francisco, Department of Testing, San Francisco, California
Tutorial at UC-Berkeley Institute for Testing Science, Berkeley CA, USA
Talk at London School of Testing, London, UK
Conference proceedings talk at Testing Institute of America 2014 Annual Conference, Los Angeles, CA
Service and leadership
- Currently signed in to 43 different slack teams