Jesús M. Rodríguez-de-Vera

According to our database, Jesús M. Rodríguez-de-Vera authored at least 8 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Precision at Scale: Domain-Specific Datasets On-Demand.

Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva

CoRR, 2024

LOFI: LOng-tailed FIne-Grained Network for Food Recognition.

Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets.

Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasua, Bhalaji Nagarajan, Petia Radeva

CoRR, 2023

Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition.

Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva

Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management, 2023

Good Fences Make Good Neighbours.

Imanol González Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

2022

Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach.

Jesús M. Rodríguez-de-Vera, Gregorio Bernabé, José M. García, Daniel Saura, Josefa González-Carrillo

Comput. Methods Programs Biomed., 2022

2021

Deploying deep learning approaches to left ventricular non-compaction measurement.

Jesús M. Rodríguez-de-Vera, Josefa González-Carrillo, José M. García, Gregorio Bernabé

J. Supercomput., 2021

2020

Deep learning approach to left ventricular non-compaction measurement.

Jesús M. Rodríguez-de-Vera, Josefa González-Carrillo, José M. García, Gregorio Bernabé

CoRR, 2020