no code implementations • 1 May 2024 • Julia Guerrero-Viu, Milos Hasan, Arthur Roullier, Midhun Harikumar, Yiwei Hu, Paul Guerrero, Diego Gutierrez, Belen Masia, Valentin Deschaintre
Generative models have enabled intuitive image creation and manipulation using natural language.
no code implementations • 26 Mar 2024 • Julia Guerrero-Viu, J. Daniel Subias, Ana Serrano, Katherine R. Storrs, Roland W. Fleming, Belen Masia, Diego Gutierrez
Estimating perceptual attributes of materials directly from images is a challenging task due to their complex, not fully-understood interactions with external factors, such as geometry and lighting.
no code implementations • 25 Jul 2023 • Valentin Deschaintre, Julia Guerrero-Viu, Diego Gutierrez, Tamy Boubekeur, Belen Masia
We introduce text2fabric, a novel dataset that links free-text descriptions to various fabric materials.
no code implementations • 1 Jun 2021 • Julia Guerrero-Viu, Sergio Izquierdo, Philipp Schröppel, Thomas Brox
Despite the success of deep learning in disparity estimation, the domain generalization gap remains an issue.
1 code implementation • ICML Workshop AutoML 2021 • Julia Guerrero-Viu, Sven Hauns, Sergio Izquierdo, Guilherme Miotto, Simon Schrodi, Andre Biedenkapp, Thomas Elsken, Difan Deng, Marius Lindauer, Frank Hutter
Neural architecture search (NAS) and hyperparameter optimization (HPO) make deep learning accessible to non-experts by automatically finding the architecture of the deep neural network to use and tuning the hyperparameters of the used training pipeline.
no code implementations • 14 Oct 2019 • Julia Guerrero-Viu, Clara Fernandez-Labrador, Cédric Demonceaux, Jose J. Guerrero
In the last few years, there has been a growing interest in taking advantage of the 360 panoramic images potential, while managing the new challenges they imply.