7 citations · 23 across the 7 of their papers we have counts for
6 papers · 1 filter
A study on the distribution of social biases in self-supervised learning visual models
Kirill Sirotkin, Pablo Carballeira, Marcos Escudero-Viñolo
Deep neural networks are efficient at learning the data distribution if it is sufficiently sampled. However, they can be strongly biased by non-relevant factors implicitly incorpor…
Graph Neural Networks for Cross-Camera Data Association
Elena Luna, Juan C. SanMiguel, José M. Martínez +1
Cross-camera image data association is essential for many multi-camera computer vision tasks, such as multi-camera pedestrian detection, multi-camera multi-target tracking, 3D pose…
Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach
Kirill Sirotkin, Marcos Escudero-Viñolo, Pablo Carballeira +1
State-of-the-art deep learning approaches for skin lesion recognition often require pretraining on larger and more varied datasets, to overcome the generalization limitations deriv…
FVV Live: A real-time free-viewpoint video system with consumer electronics hardware
Pablo Carballeira, Carlos Carmona, César Díaz +8
FVV Live is a novel end-to-end free-viewpoint video system, designed for low cost and real-time operation, based on off-the-shelf components. The system has been designed to yield…
FVV Live: Real-Time, Low-Cost, Free Viewpoint Video
Daniel Berjón, Pablo Carballeira, Julián Cabrera +5
FVV Live is a novel real-time, low-latency, end-to-end free viewpoint system including capture, transmission, synthesis on an edge server and visualization and control on a mobile…
Semantic Driven Multi-Camera Pedestrian Detection
Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós +1
In the current worldwide situation, pedestrian detection has reemerged as a pivotal tool for intelligent video-based systems aiming to solve tasks such as pedestrian tracking, soci…