Search Results for author: Pablo Carballeira

Found 7 papers, 1 papers with code

Self-Supervised Curricular Deep Learning for Chest X-Ray Image Classification

no code implementations25 Jan 2023 Iván de Andrés Tamé, Kirill Sirotkin, Pablo Carballeira, Marcos Escudero-Viñolo

Deep learning technologies have already demonstrated a high potential to build diagnosis support systems from medical imaging data, such as Chest X-Ray images.

Image Classification Self-Supervised Learning

Graph Neural Networks for Cross-Camera Data Association

2 code implementations17 Jan 2022 Elena Luna, Juan C. SanMiguel, José M. Martínez, Pablo Carballeira

To avoid the usage of fixed distances, we leverage the connectivity of Graph Neural Networks, previously unused in this scope, using a Message Passing Network to jointly learn features and similarity.

3D Pose Estimation Graph Matching +1

Improved skin lesion recognition by a Self-Supervised Curricular Deep Learning approach

no code implementations22 Dec 2021 Kirill Sirotkin, Marcos Escudero Viñolo, Pablo Carballeira, Juan Carlos SanMiguel

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 derived from the reduced size of the skin lesion imaging datasets.

Lesion Classification Self-Supervised Learning +1

FVV Live: A real-time free-viewpoint video system with consumer electronics hardware

no code implementations1 Jul 2020 Pablo Carballeira, Carlos Carmona, César Díaz, Daniel Berjón, Daniel Corregidor, Julián Cabrera, Francisco Morán, Carmen Doblado, Sergio Arnaldo, María del Mar Martín, Narciso García

The system has been designed to yield high-quality free-viewpoint video using consumer-grade cameras and hardware, which enables low deployment costs and easy installation for immersive event-broadcasting or videoconferencing.

FVV Live: Real-Time, Low-Cost, Free Viewpoint Video

no code implementations30 Jun 2020 Daniel Berjón, Pablo Carballeira, Julián Cabrera, Carlos Carmona, Daniel Corregidor, César Díaz, Francisco Morán, Narciso García

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 terminal.

Semantic Driven Multi-Camera Pedestrian Detection

no code implementations27 Dec 2018 Alejandro López-Cifuentes, Marcos Escudero-Viñolo, Jesús Bescós, Pablo Carballeira

Contrarily to the majority of the methods of the state-of-the-art, the proposed approach is scene-agnostic, not requiring a tailored adaptation to the target scenario\textemdash e. g., via fine-tunning.

Attribute Pedestrian Detection +1

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