Publications

Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva (2024). LOFI: LOng-tailed FIne-Grained Network for Food Recognition. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops.

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Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva (2023). Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition. In Proceedings of the 8th International Workshop on Multimedia Assisted Dietary Management (MADiMa ‘23), co-located with ACM Multimedia 2023.

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Imanol G Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva (2023). Good Fences Make Good Neighbours. 4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop, co-located with ICCV'23.

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Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva (2023). F2-Net: Feature Finding Network for Long-Tailed Fine-Grained Food Recognition. TechRxiv Preprint.

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Pablo Villacorta, Jesús M. Rodríguez-de-Vera, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva (2023). ELFIS: Expert Learning for Fine-grained Image Recognition Using Subsets. ArXiv.

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Jesús M. Rodríguez-de-Vera, Gregorio Bernabé, José M. García, Daniel Saura, Josefa Gonzalez-Carrillo (2022). Left ventricular non-compaction cardiomyopathy automatic diagnosis using a deep learning approach. Computer Methods and Programs in Biomedicine.

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Jesús M. Rodríguez-de-Vera, Josefa Gonzalez-Carrillo, José M García, Gregorio Bernabé (2021). Deploying deep learning approaches to left ventricular non-compaction measurement. The Journal of Supercomputing, 77(0).

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