18 citations · 45 across the 11 of their papers we have counts for
12 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…
Influence of field of view in visual prostheses design: Analysis with a VR system
Melani Sanchez-Garcia, Ruben Martinez-Cantin, Jesus Bermudez-Cameo +1
Visual prostheses are designed to restore partial functional vision in patients with total vision loss. Retinal visual prostheses provide limited capabilities as a result of low re…
Scaled 360 layouts: Revisiting non-central panoramas
Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero
From a non-central panorama, 3D lines can be recovered by geometric reasoning. However, their sensitivity to noise and the complex geometric modeling required has led these panoram…
Visual Gyroscope: Combination of Deep Learning Features and Direct Alignment for Panoramic Stabilization
Bruno Berenguel-Baeta, Antoine N. Andre, Guillaume Caron +2
In this article we present a visual gyroscope based on equirectangular panoramas. We propose a new pipeline where we take advantage of combining three different methods to obtain a…
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…
Non-central panorama indoor dataset
Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero
Omnidirectional images are one of the main sources of information for learning based scene understanding algorithms. However, annotated datasets of omnidirectional images cannot ke…
OmniSCV: An Omnidirectional Synthetic Image Generator for Computer Vision
Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero
Omnidirectional and 360° images are becoming widespread in industry and in consumer society, causing omnidirectional computer vision to gain attention. Their wide field of view all…
Atlanta Scaled layouts from non-central panoramas
Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero
In this work we present a novel approach for 3D layout recovery of indoor environments using a non-central acquisition system. From a non-central panorama, full and scaled 3D lines…
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…
FreDSNet: Joint Monocular Depth and Semantic Segmentation with Fast Fourier Convolutions
Bruno Berenguel-Baeta, Jesus Bermudez-Cameo, Jose J. Guerrero
In this work we present FreDSNet, a deep learning solution which obtains semantic 3D understanding of indoor environments from single panoramas. Omnidirectional images reveal task-…