1 code implementation • 5 Dec 2022 • Trevor D. Canham, Adrián Martín, Marcelo Bertalmío, Javier Portilla
In this work we propose a photorealistic style transfer method for image and video that is based on vision science principles and on a recent mathematical formulation for the deterministic decoupling of sample statistics.
no code implementations • 1 Jun 2021 • Adrià Arbués-Sangüesa, Adrián Martín, Paulino Granero, Coloma Ballester, Gloria Haro
Orientation is a crucial skill for football players that becomes a differential factor in a large set of events, especially the ones involving passes.
no code implementations • 15 Apr 2020 • Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Coloma Ballester, Gloria Haro
Given a monocular video of a soccer match, this paper presents a computational model to estimate the most feasible pass at any given time.
no code implementations • 2 Mar 2020 • Adrià Arbués-Sangüesa, Adrián Martín, Javier Fernández, Carlos Rodríguez, Gloria Haro, Coloma Ballester
Although orientation has proven to be a key skill of soccer players in order to succeed in a broad spectrum of plays, body orientation is a yet-little-explored area in sports analytics' research.
no code implementations • 26 Nov 2018 • Alexander Gomez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío
In particular, we show that CNNs trained for image denoising, image deblurring, and computational color constancy are able to replicate the human response to visual illusions, and that the extent of this replication varies with respect to variation in architecture and spatial pattern size.