1 code implementation • 15 Apr 2024 • Pablo Ruiz Ponce, German Barquero, Cristina Palmero, Sergio Escalera, Jose Garcia-Rodriguez
For this, we introduce in2IN, a novel diffusion model for human-human motion generation which is conditioned not only on the textual description of the overall interaction but also on the individual descriptions of the actions performed by each person involved in the interaction.
Ranked #1 on Motion Synthesis on InterHuman (using extra training data)
1 code implementation • 31 May 2023 • Stefan Thalhammer, Jean-Baptiste Weibel, Markus Vincze, Jose Garcia-Rodriguez
This work evaluates and demonstrates the differences between self-supervised CNNs and Vision Transformers for deep template matching.
no code implementations • 8 Jul 2021 • Luis Lucas, David Tomas, Jose Garcia-Rodriguez
The results obtained demonstrated that trained neural networks such as CLIP can be successfully applied to image classification with little fine-tuning, and considering the associated texts to the images can help to improve the accuracy depending on the goal.
1 code implementation • 23 Apr 2021 • Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Alberto Garcia-Garcia, Sergio Orts-Escolano, Jose Garcia-Rodriguez, Markus Vincze
Synthetic data generation has become essential in last years for feeding data-driven algorithms, which surpassed traditional techniques performance in almost every computer vision problem.
1 code implementation • 27 Mar 2021 • Sergiu Oprea, Giorgos Karvounas, Pablo Martinez-Gonzalez, Nikolaos Kyriazis, Sergio Orts-Escolano, Iason Oikonomidis, Alberto Garcia-Garcia, Aggeliki Tsoli, Jose Garcia-Rodriguez, Antonis Argyros
Relying on image-to-image translation, we improve the appearance of synthetic hands to approximate the statistical distribution underlying a collection of real images of hands.
no code implementations • 10 Apr 2020 • Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, John Alejandro Castro-Vargas, Sergio Orts-Escolano, Jose Garcia-Rodriguez, Antonis Argyros
The ability to predict, anticipate and reason about future outcomes is a key component of intelligent decision-making systems.
no code implementations • SEMEVAL 2019 • Carlos Perell{\'o}, David Tom{\'a}s, Alberto Garcia-Garcia, Jose Garcia-Rodriguez, Jose Camacho-Collados
This paper describes the system developed at the University of Alicante (UA) for the SemEval 2019 Task 5: Shared Task on Multilingual Detection of Hate.
1 code implementation • 12 Mar 2019 • Sergiu Oprea, Pablo Martinez-Gonzalez, Alberto Garcia-Garcia, John Alejandro Castro-Vargas, Sergio Orts-Escolano, Jose Garcia-Rodriguez
On the other hand, for the quantitative evaluation a novel error metric has been proposed to visually analyze the performed grips.
1 code implementation • 19 Jan 2019 • Alberto Garcia-Garcia, Pablo Martinez-Gonzalez, Sergiu Oprea, John Alejandro Castro-Vargas, Sergio Orts-Escolano, Jose Garcia-Rodriguez, Alvaro Jover-Alvarez
Enter the RobotriX, an extremely photorealistic indoor dataset designed to enable the application of deep learning techniques to a wide variety of robotic vision problems.
1 code implementation • 18 Jan 2019 • Alberto Garcia-Garcia, Brayan Stiven Zapata-Impata, Sergio Orts-Escolano, Pablo Gil, Jose Garcia-Rodriguez
Tactile sensors provide useful contact data during the interaction with an object which can be used to accurately learn to determine the stability of a grasp.
2 code implementations • 16 Oct 2018 • Pablo Martinez-Gonzalez, Sergiu Oprea, Alberto Garcia-Garcia, Alvaro Jover-Alvarez, Sergio Orts-Escolano, Jose Garcia-Rodriguez
Gathering and annotating that sheer amount of data in the real world is a time-consuming and error-prone task.
no code implementations • 3 Aug 2017 • Marcelo Saval-Calvo, Jorge Azorin-Lopez, Andres Fuster-Guillo, Jose Garcia-Rodriguez
Plane model extraction from three-dimensional point clouds is a necessary step in many different applications such as planar object reconstruction, indoor mapping and indoor localization.
2 code implementations • 22 Apr 2017 • Alberto Garcia-Garcia, Sergio Orts-Escolano, Sergiu Oprea, Victor Villena-Martinez, Jose Garcia-Rodriguez
This demand coincides with the rise of deep learning approaches in almost every field or application target related to computer vision, including semantic segmentation or scene understanding.