Jesús M. Rodríguez-de-Vera

Jesús M. Rodríguez-de-Vera

PhD Candidate in Computer Vision

University of Barcelona

Biography

I am a PhD student in Computer Vision at the University of Barcelona. My research interests include computer vision, deep learning and artificial intelligence. I work under the supervision of Dr. Petia Ivanova Radeva.

In this page I will publish the main results of my research, as well as other projects I am working on. If you want to know more about me, you can check my LinkedIn profile.
Interests
  • Artificial Intelligence
  • Computer Vision
  • Deep Learning
Education

  • PhD in Computer Vision, TBD

    University of Barcelona

  • MSc in Artificial Intelligence, 2023

    Polytechnic University of Catalonia (UPC)

  • BSc in Computer Science, 2020

    University of Murcia

  • BSc in Mathematics, 2020

    University of Murcia

Recent News

[20/01/2025] This week we are hosting the Winter School “Demistifying Artificial Intelligence” for college students from China. 🇨🇳

[05/04/2024] Our latest method, LOFI, has been accepted as an oral presentation at the CVPR'24 Workshop MTF. See you in Seattle! 🇺🇸

[29/10/2023] Very excited to present our work Dining on Details at MADiMa'23 in ACM Multimedia! 🇨🇦 🚀

[01/10/2023] We go to Paris to attend ICCV'23 and present a bunch of interesting projects! 🇫🇷 🚀

[19/09/2023] We presented a poster of our work Dining on Details at the 10th ACMCV in the Computer Vision Center.

Reviewing Experience

  • 2025: CVPR (Conference on Computer Vision and Pattern Recognition), IJCNN

  • 2024: WACV (Winter Conference on Applications of Computer Vision)

  • 2023: IEEE Transactions on Multimedia

Recent Publications

Quickly discover relevant content by filtering 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.

Cite CVF Open Access

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.

Cite DOI

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.

Cite OpenReview

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.

Cite DOI TechRxiv

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.

Cite ArXiv

See all publications

Recent & Upcoming Conferences

[MetaFood'24 CVPR-W] LOFI: LOng-tailed FIne-Grained Network for Food Recognition
Oral presentation of our work ‘LOFI: LOng-tailed FIne-Grained Network for Food Recognition’ at the MetaFood 2024 Workshop in the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR 2024).
Jun 17, 2024 3:30 PM — 8:35 PM Seattle Convention Center
Jesús M. Rodríguez-de-Vera, Imanol G. Estepa, Marc Bolaños, Bhalaji Nagarajan, Petia Radeva
Paper
[MetaFood'24 CVPR-W] LOFI: LOng-tailed FIne-Grained Network for Food Recognition
[MADiMa'23] Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition
Oral and poster presentation of our work ‘Dining on Details’ at MADiMa 2023 in the 31st ACM Multimedia 2023.
Oct 29, 2023 1:30 PM — 5:00 PM
Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Paper
[MADiMa'23] Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition
[LatinX ICCV'23] Harnessing Automated Hierarchies for Triplet Contrast-based Fine-grained Recognition
Poster presentation of our extended abstract ‘Harnessing Automated Hierarchies for Triplet Contrast-based Fine-grained Recognition’ at the 2023 International Conference on Computer Vision (ICCV 2023).
Oct 3, 2023 3:55 PM — 5:10 PM Paris Convention Centre
Jesús M. Rodríguez-de-Vera, Imanol G Estepa, Bhalaji Nagarajan, Petia Radeva
[LatinX ICCV'23] Harnessing Automated Hierarchies for Triplet Contrast-based Fine-grained Recognition
[VIPriors'23] Good Fences Make Good Neighbours
Poster presentation of our work ‘Good Fences Make Good Neighbours’ at the 4th Visual Inductive Priors for Data-Efficient Deep Learning Workshop in the 2023 International Conference on Computer Vision (ICCV 2023).
Oct 2, 2023 8:45 AM — 1:00 PM Paris Convention Centre
Imanol G Estepa, Jesús M. Rodríguez-de-Vera, Bhalaji Nagarajan, Petia Radeva
Paper
[VIPriors'23] Good Fences Make Good Neighbours
[ACMCV'23] Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition
Poster presentation of our work (accepted as oral at MADiMa'23, ACM Multimedia 2023) at the 10th Annual Catalan Meeting on Computer Vision (ACMCV 2023).
Sep 19, 2023 5:00 PM — 7:00 PM Computer Vision Center
Jesús M. Rodríguez-de-Vera, Pablo Villacorta, Imanol G. Estepa, Marc Bolaños, Ignacio Sarasúa, Bhalaji Nagarajan, Petia Radeva
Paper Poster
[ACMCV'23] Dining on Details: LLM-Guided Expert Networks for Fine-Grained Food Recognition

Teaching Experience

  • Generative AI Lecture, Winter School “Demistifying Artificial Intelligence”, 2025 - University of Barcelona: Invited lecturer.

  • Computer Vision, Bachelor’s Degree in Computer Science, 2024-2025 - University of Barcelona: Lab teacher.

Contact

My preferred way of contact is via LinkedIn. You can also send me an email to jesusmolrdv@gmail.com.