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projects
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation
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Problemática de seguridad en redes Ethernet extremo a extremo
Published in XV Jornadas Telecom I+D 2005, 2005
Bibtex:
(Read more)Recommended citation: 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
Published in Colour Research for European Advanced Technology Employment (CREATE) 2010, 2010
(Read more)Recommended citation: 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. http://www.create.uwe.ac.uk/norway_paperlist/alvarez.pdf
Combining color descriptors for improved codebook model-based image retrieval
Published in 5th European Conference on Colour in Graphics, Imaging, and Vision 2010, 2010
(Read more)Recommended citation: 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. http://colorlab.no/content/download/28379/325582/file/Gila2010.pdf
Scene Recognition for Improved Aesthetic Quality Inference of Photographic Images
Published in Master’s thesis, Gøvik University College, Gøvik, Norway, 2010
(Read more)Recommended citation: 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
Published in International Surface Inspection Summit (ISIS), 2012
Bibtex:
(Read more)Recommended citation: 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
Published in Journal of Visual Communication and Image Representation, 2015
(Read more)Recommended citation: 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. http://www.academia.edu/download/40429159/Automatic_Red-Channel_underwater_image_r20151127-13023-t6apld.pdf
Visibility Recovery on Images Acquired in Attenuating Media. Application to Underwater and Fog Image Restoration
Published in V-MAD 6 Sexto Encuentro en Aplicaciones de la Matemática, 2016
Abstract:
(Read more)Recommended citation: 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
Published in First European Machine Vision Forum, 2016
(Read more)Recommended citation: 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. http://www.computervisionbytecnalia.com/wp-content/uploads/2016/09/EMVA-Deep-Convolutional-Neuronal-Networks-for-surface-quality-inspection-of-hot-long-metal-products.pdf
Data-Driven Color Augmentation Techniques for Deep Skin Image Analysis
Published in arXiv preprint arXiv:1703.03702, 2017
(Read more)Recommended citation: 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. https://arxiv.org/abs/1703.03702
Automatic plant disease diagnosis using mobile capture devices, applied on a wheat use case
Published in Computers and Electronics in Agriculture, 2017
(Read more)Recommended citation: 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. http://www.sciencedirect.com/science/article/pii/S016816991631050X
High speed quality inspection of hot long metal products surface based on Deep Convolutional Neural Networks
Published in Open session - International Summer School on Deep Learning 2017, 2017
Abstract:
(Read more)Recommended citation: 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
Published in ICCV 2017 Workshop Physics-Based Vision meets Deep Learning, 2017
(Read more)Recommended citation: 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. https://arxiv.org/abs/1709.00265
Detección de fibrilación ventricular mediante técnicas de aprendizaje profundo
Published in XXXV Congreso Anual de la Sociedad Espanola de Ingeniería Biomedica. Bilbao, 29 Nov – 1 Dic, 2017, 2017
(Read more)Recommended citation: 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. http://www.computervisionbytecnalia.com/wp-content/uploads/2018/01/caseib_2017_picon.pdf
Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild
Published in Computers and Electronics in Agriculture, 2018
(Read more)Recommended citation: 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. 10.1016/j.compag.2018.04.002
On the Duality Between Retinex and Image Dehazing
Published in Computer Vision and Pattern Recognition (CVPR) 2018, 2018
(Read more)Recommended citation: 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. https://arxiv.org/abs/1712.02754
NTIRE 2018 Challenge on Image Dehazing: Methods and Results
Published in Computer Vision and Pattern Recognition (CVPR) Workshops 2018, 2018
(Read more)Recommended citation: 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. http://openaccess.thecvf.com/content_cvpr_2018_workshops/w13/html/Ancuti_NTIRE_2018_Challenge_CVPR_2018_paper.html
NTIRE 2018 challenge on spectral reconstruction from rgb images
Published in Computer Vision and Pattern Recognition (CVPR) Workshops 2018, 2018
(Read more)Recommended citation: 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. http://openaccess.thecvf.com/content_cvpr_2018_workshops/w13/html/Arad_NTIRE_2018_Challenge_CVPR_2018_paper.html
Mixed Convolutional and Long Short-Term Memory Network for the Detection of Lethal Ventricular Arrhythmia
Published in PLOS ONE, 2019
(Read more)Recommended citation: 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. https://doi.org/10.1371/journal.pone.0216756
Self-Supervised Blur Detection from Synthetically Blurred Scenes
Published in Image and Vision Computing, 2019
(Read more)Recommended citation: 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. https://doi.org/10.1016/j.imavis.2019.08.008
Crop Conditional Convolutional Neural Networks for Massive Multi-Crop Plant Disease Classification over Cell Phone Acquired Images Taken on Real Field Conditions
Published in Computers and Electronics in Agriculture, 2019
(Read more)Recommended citation: 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. https://doi.org/10.1016/j.compag.2019.105093
talks
Talk 1 on Relevant Topic in Your Field
Published in UC San Francisco, Department of Testing, 2012
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Tutorial 1 on Relevant Topic in Your Field
Published in UC-Berkeley Institute for Testing Science, 2013
(Read more)Talk 2 on Relevant Topic in Your Field
Published in London School of Testing, 2014
(Read more)Conference Proceeding talk 3 on Relevant Topic in Your Field
Published in Testing Institute of America 2014 Annual Conference, 2014
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teaching
Teaching experience 1
Published in University 1, Department, 2014
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(Read more)Teaching experience 2
Published in University 1, Department, 2015
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(Read more)