P. Sáiz, J. Matias, E. Jacob, A. Alvarez-Gila, and E. Areizaga, “Problemática de seguridad en redes Ethernet extremo a extremo,” in XV Jornadas Telecom I+D 2005, Madrid, Spain, 2005.
- 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. Alvarez-Gila, “Aesthetic Quality Inference of Photographic Images - Survey and Future Trends,” Colour Research for European Advanced Technology Employment Conference (CREATE), Norway, Jun. 2010.
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.
A. Alvarez-Gila, “Scene Recognition for Improved Aesthetic Quality Inference of Photographic Images,” Master’s thesis, Gøvik University College, Gøvik, Norway, Jun. 2010.
J. A. Gutierrez-Olabarria, A. Cruz-Lopez, A. Alvarez-Gila, A. Lago-Ruiz, A. Bilbao, and R. Gonzalez, “Advances in surface inspection of hot rolled complex geometries,” presented at the International Surface Inspection Summit (ISIS), Mumbai, India, 2012
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. Cruz-Lopez, 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.
High speed quality inspection of hot long metal products surface based on Deep Convolutional Neural Networks
A. Picon, A. Alvarez-Gila, G. Duro, A. Cruz-Lopez, M. Linares, A. Lago, E. Garrote, and J. A. Gutierrez-Olabarria, “High speed quality inspection of hot long metal products surface based on Deep Convolutional Neural Networks,” in Open session - International Summer School on Deep Learning 2017, Bilbao, Spain, 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, U. Irusta, A. Alvarez-Gila, E. Aramendi, E. Garrote, U. Ayala, F. Alonso, and C. Figuera, “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.
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
A. Picon, A. Alvarez-Gila, M. Seitz, A. Ortiz-Barredo, and J. Echazarra, A. Johannes, “Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild,” Computers and Electronics in Agriculture (Accepted), 2018.
A. Galdran, A. Alvarez-Gila, A. Bria, J. Vazquez-Corral, and M. Bertalmio, “On the Duality Between Retinex and Image Dehazing,”in CVPR 2018, Salt Lake City, USA, 2018.
C. Ancuti, C. O. Ancuti, R. Timofte and others, “NTIRE 2018 Challenge on Image Dehazing: Methods and Results,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018, pp. 891–901.
B. Arad, O. Ben-Shahar, R. Timofte and Others, “NTIRE 2018 Challenge on Spectral Reconstruction From RGB Images,” in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2018, pp. 929–938.
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