no code implementations • 11 Apr 2024 • Nadia Nasri, Carlos Gutiérrez-Álvarez, Sergio Lafuente-Arroyo, Saturnino Maldonado-Bascón, Roberto J. López-Sastre
Continual learning (CL) is crucial for evaluating adaptability in learning solutions to retain knowledge.
1 code implementation • 28 Nov 2023 • Carlos Gutiérrez-Álvarez, Pablo Ríos-Navarro, Rafael Flor-Rodríguez, Francisco Javier Acevedo-Rodríguez, Roberto J. López-Sastre
Visual Semantic Navigation (VSN) is the ability of a robot to learn visual semantic information for navigating in unseen environments.
1 code implementation • 26 Mar 2020 • Marcos Baptista Rios, Roberto J. López-Sastre, Fabian Caba Heilbron, Jan van Gemert, F. Javier Acevedo-Rodríguez, S. Maldonado-Bascón
Our results confirm the problems of the previous evaluation protocols, and suggest that an IA-based protocol is more adequate to the online scenario.
1 code implementation • 22 Mar 2020 • Marcos Baptista Rios, Roberto J. López-Sastre, Fabian Caba Heilbron, Jan van Gemert, Francisco Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón
The problem of Online Human Behaviour Recognition in untrimmed videos, aka Online Action Detection (OAD), needs to be revisited.
1 code implementation • 17 Apr 2019 • Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo, Roberto J. López-Sastre
Face recognition has achieved unprecedented results, surpassing human capabilities in certain scenarios.
1 code implementation • 12 Apr 2019 • Artur Costa-Pazo, David Jimenez-Cabello, Esteban Vazquez-Fernandez, Jose L. Alba-Castro, Roberto J. López-Sastre
Over the past few years, Presentation Attack Detection (PAD) has become a fundamental part of facial recognition systems.
no code implementations • 17 Oct 2018 • Marcos Baptista-Ríos, Roberto J. López-Sastre, Franciso Javier Acevedo-Rodríguez, Saturnino Maldonado-Bascón
Early action proposal consists in generating high quality candidate temporal segments that are likely to contain an action in a video stream, as soon as they happen.
no code implementations • 11 Oct 2018 • Carlos Herranz-Perdiguero, Roberto J. López-Sastre
Technically, the goal of an ISA$^2$ model is to predict for a given image of a driving scenario the proper speed of the vehicle.
no code implementations • 19 Jul 2018 • Carlos Herranz-Perdiguero, Carolina Redondo-Cabrera, Roberto J. López-Sastre
While there has been significant progress in solving the problems of image pixel labeling, object detection and scene classification, existing approaches normally address them separately.
no code implementations • 8 May 2018 • Daniel Oñoro-Rubio, Mathias Niepert, Roberto J. López-Sastre
Standard short-cut connections are connections between layers in deep neural networks which skip at least one intermediate layer.
1 code implementation • 13 Apr 2018 • Carolina Redondo-Cabrera, Marcos Baptista-Ríos, Roberto J. López-Sastre
Training a Convolutional Neural Network (CNN) for semantic segmentation typically requires to collect a large amount of accurate pixel-level annotations, a hard and expensive task.
no code implementations • 24 Jan 2018 • Daniel Oñoro-Rubio, Roberto J. López-Sastre, Carolina Redondo-Cabrera, Pedro Gil-Jiménez
Detecting objects and estimating their pose remains as one of the major challenges of the computer vision research community.
1 code implementation • 24 Jan 2018 • Carolina Redondo-Cabrera, Roberto J. López-Sastre
We here propose two Siamese architectures for Convolutional Neural Networks, and their corresponding novel loss functions, to learn from unlabeled videos, which jointly exploit the local temporal coherence between contiguous frames, and a global discriminative margin used to separate representations of different videos.
2 code implementations • AKBC 2019 • Daniel Oñoro-Rubio, Mathias Niepert, Alberto García-Durán, Roberto González, Roberto J. López-Sastre
A visual-relational knowledge graph (KG) is a multi-relational graph whose entities are associated with images.