
Aitor Alvarez-Gila
Computer vision and deep learning scientist. Lead researcher at Tecnalia. Photographer (not really)
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PhD defended!
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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!
(Read more)Invited talk on deep learning at the Faculty of Science and Technology (UPV/EHU)
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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).
(Read more)New journal paper on synthetic image blurring for self-supervised deep blur detection
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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).
(Read more)PLOS ONE paper on deep learning techniques for the detection of lethal ventricular arrhythmia on out-of-hospital cardiac arrest patients
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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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