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About me
About me
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PhD defended!
Published:
Last Tuesday, July 19th 2022, I successfully defended my PhD dissertation at CVC (Barcelona), obtaining an Excellent Cum Laude grade. The thesis is titled “Self-supervised learning for image-to-image translation in the small data regime” and was developed at Computer Vision Center’s Learning And Machine Perception (LAMP) team and Tecnalia, under the supervision of Joost van de Weijer and Estibaliz Garrote. Many thanks to both!
(Read more)Invited talk on deep learning at the Faculty of Science and Technology (UPV/EHU)
Published:
Next Wednesday, October 2nd, I’ll be giving an introductory talk to Deep Learning techniques at the Faculty of Science and Technology of the University of the Basque Country (UPV/EHU).
(Read more)New journal paper on synthetic image blurring for self-supervised deep blur detection
Published:
Our paper “Self-Supervised Blur Detection from Synthetically Blurred Scenes” just got accepted for publication at the Image and Vision Computing journal (Q1).
(Read more)PLOS ONE paper on deep learning techniques for the detection of lethal ventricular arrhythmia on out-of-hospital cardiac arrest patients
Published:
Our paper “Mixed Convolutional and Long Short-Term Memory Network for the Detection of Lethal Ventricular Arrhythmia” was just published on PLOS ONE.
(Read more)Introduction to deep learning. The techniques enabling the current Artificial Intelligence revolution
Published:
Next Tuesday, October 9th, I’ll be giving an introductory talk to Deep Learning techniques within SPRI’s Enpresa Digitala initiative. It will take place at the building 204 of the Science Park of Biscay. Info and registrations: http://www.spri.eus/euskadinnova/es/enpresa-digitala/agenda/deep-learning-tecnicas-tras-revolucion-inteligencia-artificial/14624.aspx.
New journal paper on deep learning-based plant disease detection in the wild
Published:
Our paper “Deep convolutional neural networks for mobile capture device-based crop disease classification in the wild” just got accepted for publication at the Computers and Electronics in Agriculture journal.
(Read more)Our paper On the Duality Between Retinex and Image Dehazing, accepted to CVPR 2018
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Slides, updated arxiv and train-test splits available for our Adversarial RGB to Hyperspectral paper
Published:
Our paper Adversarial Networks for Spatial Context-Aware Spectral Image Reconstruction from RGB, accepted at ICCV 2017 Workshop on Physics-Based Vision meets Deep Learning
Published:
Workshop on deep learning at tecnalia
Published:
I will be giving an introductory talk to deep learning next Thursday, June 1st 2017, as part of the workshop on deep learning that we are organizing at tecnalia.
(Read more)New journal paper accepted in Computers and Electronics in Agriculture
Published:
We just got a new paper published in next June’s issue of the Computers and Electronics in Agriculture journal! This paper is the first result of our collaboration with BASF on the detection of diseases in crops by means of mobile imaging devices.
(Read more)New post on deep learning on Tecnalia’s Inspiring Blog
Published:
Our colleague at Tecnalia’s computer vision group, Estibaliz Garrote, shares a post on the deep learning revolution on Tecnalia’s Inspiring Blog:
Tecnalia’s deep learning-based Surface Inspection system SURFIN featured in Vision Systems Design
Published:
Tecnalia’s surface inspection system for hot long metal products SURFIN is migrating to a deep learning-based solution using Convolutional Neural Networks, and the December 2016 issue of Vision Systems Design includes an article on it with some design and performance details.
Joining LAMP team at Computer Vision Center-Barcelona as PhD candidate
Published:
I have been officially admitted as PhD student at the Universitat Autònoma de Barcelona. I will be joining Computer Vision Center’s LAMP (Learning And Machine Perception) team under the supervision of Joost van de Weijer to work on deep learning.
portfolio
Portfolio item number 1
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Short description of portfolio item number 1
Portfolio item number 2
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Short description of portfolio item number 2
projects
MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation
Published:
(Read more)publications
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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