9 citations · 19 across the 6 of their papers we have counts for
9 papers
Ego-METAS: Egocentric online Multimodal Energy-efficient Temporal Action Segmentation benchmark
Maria Santos-Villafranca, Jesus Bermudez-cameo, Alejandro Perez-Yus +2
To operate in the physical world, embodied agents must perceive their environment in an "always-on" fashion, selectively accessing the most informative sensors to balance energy co…
O-MaMa: Learning Object Mask Matching between Egocentric and Exocentric Views
Lorenzo Mur-Labadia, Maria Santos-Villafranca, Jesus Bermudez-Cameo +3
Understanding the world from multiple perspectives is essential for intelligent systems operating together, where segmenting common objects across different views remains an open p…
Multimodal Knowledge Distillation for Egocentric Action Recognition Robust to Missing Modalities
Maria Santos-Villafranca, Dustin Carrión-Ojeda, Alejandro Perez-Yus +3
Egocentric action recognition enables robots to facilitate human-robot interactions and monitor task progress. Existing methods often rely solely on RGB videos, although additional…
Convolution kernel adaptation to calibrated fisheye
Bruno Berenguel-Baeta, Maria Santos-Villafranca, Jesus Bermudez-Cameo +2
Convolution kernels are the basic structural component of convolutional neural networks (CNNs). In the last years there has been a growing interest in fisheye cameras for many appl…
Floor extraction and door detection for visually impaired guidance
Bruno Berenguel-Baeta, Manuel Guerrero-Viu, Alejandro de Nova +3
Finding obstacle-free paths in unknown environments is a big navigation issue for visually impaired people and autonomous robots. Previous works focus on obstacle avoidance, howeve…
Augmented reality navigation system for visual prosthesis
Melani Sanchez-Garcia, Alejandro Perez-Yus, Ruben Martinez-Cantin +1
The visual functions of visual prostheses such as field of view, resolution and dynamic range, seriously restrict the person's ability to navigate in unknown environments. Implante…
Corners for Layout: End-to-End Layout Recovery from 360 Images
Clara Fernandez-Labrador, Jose M. Facil, Alejandro Perez-Yus +3
The problem of 3D layout recovery in indoor scenes has been a core research topic for over a decade. However, there are still several major challenges that remain unsolved. Among t…
PanoRoom: From the Sphere to the 3D Layout
Clara Fernandez-Labrador, Jose M. Facil, Alejandro Perez-Yus +2
We propose a novel FCN able to work with omnidirectional images that outputs accurate probability maps representing the main structure of indoor scenes, which is able to generalize…
Layouts from Panoramic Images with Geometry and Deep Learning
Clara Fernandez-Labrador, Alejandro Perez-Yus, Gonzalo Lopez-Nicolas +1
In this paper, we propose a novel procedure for 3D layout recovery of indoor scenes from single 360 degrees panoramic images. With such images, all scene is seen at once, allowing…