Zobrazeno 1 - 10
of 240
pro vyhledávání: '"Sastre, Roberto"'
Autor:
Blanco-Fernández, Eduardo, Gutiérrez-Álvarez, Carlos, Nasri, Nadia, Maldonado-Bascón, Saturnino, López-Sastre, Roberto J.
Dense video captioning is the task that involves the detection and description of events within video sequences. While traditional approaches focus on offline solutions where the entire video of analysis is available for the captioning model, in this
Externí odkaz:
http://arxiv.org/abs/2406.14206
Publikováno v:
JCAP09 (2024) 015
It is well-known that the critical gravitational collapse produces continuous self-similar solutions characterized by the Choptuik critical exponent, $\gamma$. We examine the solutions in the domains of the linear perturbation equations, considering
Externí odkaz:
http://arxiv.org/abs/2406.04310
Autor:
Nasri, Nadia, Gutiérrez-Álvarez, Carlos, Lafuente-Arroyo, Sergio, Maldonado-Bascón, Saturnino, López-Sastre, Roberto J.
Continual learning (CL) is crucial for evaluating adaptability in learning solutions to retain knowledge. Our research addresses the challenge of catastrophic forgetting, where models lose proficiency in previously learned tasks as they acquire new o
Externí odkaz:
http://arxiv.org/abs/2404.07729
Publikováno v:
JHEP10(2023)034
In this paper, we study the black hole solution of self-similar gravitational collapse in the Einstein-axion-dilaton system for the elliptic class in four dimensions. The solution is invariant under space-time dilation, which is combined with interna
Externí odkaz:
http://arxiv.org/abs/2307.14515
Publikováno v:
Eur. Phys. J. C (2023) 83:623
In this paper, we introduce a numerical method based on Artificial Neural Networks (ANNs) for the analysis of black hole solutions to the Einstein-axion-dilaton system in a high dimensional parabolic class. Leveraging a profile root-finding technique
Externí odkaz:
http://arxiv.org/abs/2302.04619
Autor:
Moya, Andy, López-Sastre, Roberto J.
Publikováno v:
A&A 663, A112 (2022)
Estimating stellar masses and radii is a challenge for most of the stars but their knowledge is critical for many different astrophysical fields. One of the most extended techniques for estimating these variables are the so-called empirical relations
Externí odkaz:
http://arxiv.org/abs/2203.06027
Autor:
Rios, Marcos Baptista, López-Sastre, Roberto J., Heilbron, Fabian Caba, van Gemert, Jan, Acevedo-Rodríguez, F. Javier, Maldonado-Bascón, S.
The Online Action Detection (OAD) problem needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established, in the OAD setting we find very few works and no consensus on the ev
Externí odkaz:
http://arxiv.org/abs/2003.12041
Autor:
Rios, Marcos Baptista, López-Sastre, Roberto J., Heilbron, Fabian Caba, van Gemert, Jan, Acevedo-Rodríguez, Francisco Javier, Maldonado-Bascón, Saturnino
The problem of Online Human Behaviour Recognition in untrimmed videos, aka Online Action Detection (OAD), needs to be revisited. Unlike traditional offline action detection approaches, where the evaluation metrics are clear and well established, in t
Externí odkaz:
http://arxiv.org/abs/2003.09970
Face recognition has achieved unprecedented results, surpassing human capabilities in certain scenarios. However, these automatic solutions are not ready for production because they can be easily fooled by simple identity impersonation attacks. And a
Externí odkaz:
http://arxiv.org/abs/1904.08241
Autor:
Costa-Pazo, Artur, Jimenez-Cabello, David, Vazquez-Fernandez, Esteban, Alba-Castro, Jose L., López-Sastre, Roberto J.
Over the past few years, Presentation Attack Detection (PAD) has become a fundamental part of facial recognition systems. Although much effort has been devoted to anti-spoofing research, generalization in real scenarios remains a challenge. In this p
Externí odkaz:
http://arxiv.org/abs/1904.06213