CV

Education

B.S. in Github, Github University, 2012
M.S. in Jekyll, Github University, 2014
Ph.D in Version Control Theory, Github University, 2018 (expected)

Work experience

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

Skills

Skill 1
Skill 2
- Sub-skill 2.1
- Sub-skill 2.2
- Sub-skill 2.3
Skill 3

Publications

Problemática de seguridad en redes Ethernet extremo a extremo

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.

Aesthetic Quality Inference of Photographic Images - Survey and Future Trends

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.

Combining color descriptors for improved codebook model-based image retrieval

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.

Scene Recognition for Improved Aesthetic Quality Inference of Photographic Images

A. Alvarez-Gila, “Scene Recognition for Improved Aesthetic Quality Inference of Photographic Images,” Master’s thesis, Gøvik University College, Gøvik, Norway, Jun. 2010.

Advances in surface inspection of hot rolled complex geometries

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

Automatic Red-Channel underwater image restoration

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.

Deep Convolutional Neural Networks for surface quality inspection of hot long metal products

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.

Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis

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.

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

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.

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

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.

Detección de fibrilación ventricular mediante técnicas de aprendizaje profundo

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, J. Echazarra, and A. Johannes, “Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild,” Computers and Electronics in Agriculture, vol. 161, pp. 280–290, Jun. 2019.

On the Duality Between Retinex and Image Dehazing

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.

NTIRE 2018 Challenge on Image Dehazing: Methods and Results

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.

NTIRE 2018 challenge on spectral reconstruction from rgb images

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.

Mixed Convolutional and Long Short-Term Memory Network for the Detection of Lethal Ventricular Arrhythmia

A. Picon, U. Irusta, A. Alvarez-Gila, E. Aramendi, F. Alonso-Atienza, C. Figuera, U. Ayala, E. Garrote, L. Wik, J. Kramer-Johansen, and T. Eftestøl, “Mixed convolutional and long short-term memory network for the detection of lethal ventricular arrhythmia,” PLOS ONE, vol. 14, no. 5, p. e0216756, May 2019.

Self-Supervised Blur Detection from Synthetically Blurred Scenes

A. Alvarez-Gila, A. Galdran, E. Garrote, and J. van de Weijer, “Self-supervised blur detection from synthetically blurred scenes,” Image and Vision Computing, vol. 92, p. 103804, Dec. 2019.

Crop Conditional Convolutional Neural Networks for Massive Multi-Crop Plant Disease Classification over Cell Phone Acquired Images Taken on Real Field Conditions

A. Picon, M. Seitz, A. Alvarez-Gila, P. Mohnke, A. Ortiz-Barredo, and J. Echazarra, “Crop conditional Convolutional Neural Networks for massive multi-crop plant disease classification over cell phone acquired images taken on real field conditions,” Computers and Electronics in Agriculture, p. 105093, Nov. 2019.

Aitor Alvarez-Gila

CV