FROM publications

FROM publications

layout: archive title: “Projects” permalink: /projects/ author_profile: true —

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.

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.

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.

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.

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.

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.

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.

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.

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, 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. 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. 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. 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.

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. 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.

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. Alvarez-Gila, “Scene Recognition for Improved Aesthetic Quality Inference of Photographic Images,” Master’s thesis, Gøvik University College, Gøvik, 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, “Aesthetic Quality Inference of Photographic Images - Survey and Future Trends,” Colour Research for European Advanced Technology Employment Conference (CREATE), Norway, Jun. 2010.

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.

FROM News

layout: archive permalink: /projects/ title: “Projects” author_profile: true —

<h2 id="2022" class="archive__subtitle">2022</h2>

MVMO: A Multi-Object Dataset for Wide Baseline Multi-View Semantic Segmentation

Published: October 16, 2022

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