41 citations · 88 across the 17 of their papers we have counts for
6 papers · 1 filter
Body Size and Depth Disambiguation in Multi-Person Reconstruction from Single Images
Nicolas Ugrinovic, Adria Ruiz, Antonio Agudo +2
We address the problem of multi-person 3D body pose and shape estimation from a single image. While this problem can be addressed by applying single-person approaches multiple time…
Grasp-Oriented Fine-grained Cloth Segmentation without Real Supervision
Ruijie Ren, Mohit Gurnani Rajesh, Jordi Sanchez-Riera +6
Automatically detecting graspable regions from a single depth image is a key ingredient in cloth manipulation. The large variability of cloth deformations has motivated most of the…
An Adaptable Approach to Learn Realistic Legged Locomotion without Examples
Daniel Ordonez-Apraez, Antonio Agudo, Francesc Moreno-Noguer +1
Learning controllers that reproduce legged locomotion in nature has been a long-time goal in robotics and computer graphics. While yielding promising results, recent approaches are…
Stochastic Neural Radiance Fields: Quantifying Uncertainty in Implicit 3D Representations
Jianxiong Shen, Adria Ruiz, Antonio Agudo +1
Neural Radiance Fields (NeRF) has become a popular framework for learning implicit 3D representations and addressing different tasks such as novel-view synthesis or depth-map estim…
Uncertainty-Aware Camera Pose Estimation from Points and Lines
Alexander Vakhitov, Luis Ferraz Colomina, Antonio Agudo +1
Perspective-n-Point-and-Line (PPL) algorithms aim at fast, accurate, and robust camera localization with respect to a 3D model from 2D-3D feature correspondences, being a major…
Generating Attribution Maps with Disentangled Masked Backpropagation
Adria Ruiz, Antonio Agudo, Francesc Moreno
Attribution map visualization has arisen as one of the most effective techniques to understand the underlying inference process of Convolutional Neural Networks. In this task, the…