Jesús M. Rodríguez-de-Vera
PhD Student under Prof. Petia Radeva working on data-centric deep learning for computer vision
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Profile summary
Jesús Molina Rodríguez de Vera is a PhD student at the University of Barcelona, focusing on data-centric deep learning for computer vision under the supervision of Prof. Petia Radeva. Jesús has contributed significantly to projects in both academic and industry settings, including publications in high-impact venues as well as participation in international projects. His academic journey includes a Master's degree in Artificial Intelligence from the Universitat Politècnica de Catalunya and dual Bachelor's degrees in Computer Science and Mathematics from the Universidad de Murcia. Jesús's work has been recognized with several awards, including the Premio Extraordinario Fin de Carrera en Ingeniería Informática for academic excellence and the prestigious FPU scholarship for PhD studies.
Latest publications
Jesús M. Rodríguez-de-Vera has 7 publications on Google Scholar.
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F2-Net: Feature Finding Network for Long-Tailed Fine-Grained Food Recognition
2023 | Jesús M Rodríguez-de-Vera, Imanol G Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva | Authorea Preprints, 2023
ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets
2023 | Pablo Villacorta, Jesús M Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva | arXiv preprint arXiv:2303.09269, 2023
Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition
2023 | 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 …, 2023
Good Fences Make Good Neighbours
2023 | Imanol G Estepa, Jesús Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva | Proceedings of the IEEE/CVF International Conference on Computer Vision, 216-226, 2023
Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach
2022 | Jesús M Rodríguez-de-Vera, Gregorio Bernabé, José M García, Daniel Saura, Josefa González-Carrillo | Computer Methods and Programs in Biomedicine 214, 106548, 2022
Deploying deep learning approaches to left ventricular non-compaction measurement
2021 | Jesus M Rodriguez-de-Vera, Josefa Gonzalez-Carrillo, José M García, Gregorio Bernabé | The Journal of Supercomputing 77, 10138-10151, 2021
Deep learning approach to left ventricular non-compaction measurement
2020 | Jesús M Rodríguez-de-Vera, Josefa González-Carrillo, José M García, Gregorio Bernabé | arXiv preprint arXiv:2011.14773, 2020
