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.
Main public projects
- the STUDIES (2023-2027) project aims at automatically conducting die studies at a large scale to better understand Ancient Numismatics.
- the SHARP (PEPR IA 2023 - 2027) project 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 (EU Horizon 2023-2026) project 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 that aims to develop an embedded artificial intelligence model that combines sovereignty, trust and frugality, by developping the Eclipse AIDGE open source software platform.
- the AI4MEDIA project (EU H2020 - 2024) aspires to become a Centre of Excellence engaging a wide network of researchers across Europe and beyond, focusing on delivering the next generation of core AI advances and training to serve the Media sector, while ensuring that the European values of ethical and trustworthy AI are embedded in future AI deployments.
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. He published more than 60 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 has served as a reviewer for several international conferences and journals, including CVPR, ICCV, ACM Multimedia, IEEE T. PAMI and IEEE T. Multimedia. He has been a project manager since 2006, both for public funded projects and industrial contracts. He supervised 20 master students and co-advised seven Ph.D. in collaboration with CentraleSupelec and CNAM.
Positions and Education
- since 2019: researcher at the Laboratory of Semantic Analysis of Texts and Images (CEA-List)
- 2010 - 2019: researcher at the Vision and Content Engineering Laboratory (CEA-List)
- 2006 - 2010: researcher at the Laboratoire d’Ingenierie de la Connaissance Multimedia et Multilingue (CEA-List)
- 2004 - 2006: post doc with Noel O’Connor (CDVP, Dublin City University, Ireland)
- 2000 - 2004: Ph.D. (dir. Anne Guérin-Dugué) on Analyse de scènes naturelles par Composantes Indépendantes (INPG, Grenoble, France)
- 1999 - 2000: MSc (sup. Anne Guérin-Dugué) on Etude de la représentation corticale des images naturelles: application à l’indexation de bases d’images (INPG, Grenoble, France)
- 1997 - 2000: Dipl. Ing (MEng) in electronics and information sciences (ENSERG, INPG, Grenoble).