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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!
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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).
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Our paper “Self-Supervised Blur Detection from Synthetically Blurred Scenes” just got accepted for publication at the Image and Vision Computing journal (Q1).
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Our paper “Mixed Convolutional and Long Short-Term Memory Network for the Detection of Lethal Ventricular Arrhythmia” was just published on PLOS ONE.
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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.
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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.
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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.
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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.
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Our colleague at Tecnalia’s computer vision group, Estibaliz Garrote, shares a post on the deep learning revolution on Tecnalia’s Inspiring Blog:
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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.
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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.
