Hervé Le Borgne

Hervé Le Borgne

Researcher at CEA-List, Univ. Paris Saclay

My research is in the area of computer vision with a particular interest on relating visual and textual content and visual generative models. I work at CEA-List, that is associated with Université Paris-Saclay.

News

  • [nov 25] the main contribution of Paul Grimal’s thesis SAGA has been accepted as an oral presentation at AAAI 2026. The collaboration with Dr Mickaël Soumm was decisive in terms of the theoretical aspects. Congratulation to both of them!
  • [oct 25] during his Master internship, Biruk Ambaw collaborated with Frederic Lin and their paper has just been accepted to NeurIPS 2025 (Datasets & Benchmarks Track).
  • [sep 25] the article of Saad Lahlali and Alexandre Fournier-Montgieux on weakly supervised 3D object detection MVAT has been accepted to WACV 2026. Third top-tier conference for Saad: the PhD defense is expected for next december…
  • [mar 25] our article has been accepted to CVPR 2025. It extends the work of (Dr) Sandra Kara on object discovery in images to the case of 3D point clouds, which is the playground of Saad Lahlali.

Main public projects

  • the STUDIES project (2023-2027) aims at automatically conducting die studies at a large scale to better understand Ancient Numismatics.
  • the SHARP project (PEPR IA 2023 - 2029) aims to design, analyze and deploy intrinsically frugal models (neural or not) able to achieve the versatility and performance of the best models while requiring only a vanishing fraction of the resources currently needed.
  • the Vanguard project (EU Horizon 2023-2026) aims to strengthen the fight against trafficking in human beings through the provision of improved intelligence picture, delivery of advanced and trustworthy suite of tools, and realisation of innovative training activities.
  • the Deepgreen project (France2030 ANR 2024-2027) that aims to develop an embedded artificial intelligence model that combines sovereignty, trust and frugality, by developping the Eclipse AIDGE open source software platform.

Teaching

I give courses and tutorials of deep learning at CentraleSupelec (since 2017).

Before, I have given courses of computer vision at Centrale Paris (2016), tutorials of NLP at INSTN (2007-2009), courses of video compression at Dublin City University during my post-doc (2005-2006) and various tutorials at Université Joseph Fourier and INP Grenoble during my thesis (2001-2003).

Contact

I am physicaly located at Nano Innov. To get here, I’ll need to give your name to reception first (the appointment must be planned in advance). On the day of your visit, please bring your passport or identity card.

Mailing address: CEA Saclay - Nano-INNOV, DRT/LIST/DIASI/SIALV/LASTI, Bat 861 - PC 184 - F91191 Gif-sur-Yvette Cedex, France.

Short bio

Hervé Le Borgne is a researcher at the CEA-List since 2006, carrying out research on computer vision and focusing on the links between visual and textual content. Previously, he received his Ph.D. from the INP Grenoble in 2004 and worked as a post-doc at Dublin City university from 2004 to 2006 and received an habilitation to supervide thesis (HDR) in 2024 from Université Paris Saclay. He published more than 70 articles in international conferences and journals dealing with computer vision, multimedia retrieval, text-to-image models and more generally multimedia mining in order to extract semantic. He is also the co-inventor of 10 patents in these fields. Recently, his interest focused on visual generative models, fairness and explainability. He has served as a reviewer for several international conferences and journals, including CVPR, ICCV, ECCV, NeurIPS, ACM Multimedia, IEEE T. PAMI and IEEE T. Multimedia. He has been a project manager since 2006, both for public funded (ANR, H2020, HE) projects and industrial contracts. He supervised 22 master students co-advised seven completed Ph.D and eight post-doc, currently advising five PhD and one post-doc. Since 2016, he is an external teacher of deep learning at CentraleSupelec.

Positions and Education