Vincent NGUYEN
Since 09/2021, I have been an associate professor at l’IUT / University of Orléans, France and a member of the research team CA (Constraints and Learning) of LIFO. I’m the Director of studies of the second year of bachelor’s degree.
My research interests cover several themes:
- Incremental / Continual learning.
- Weakly supervised learning.
- Document image analysis and understanding
Research Grants:
- 2026-2029 : ANR EnACA project on AI-based multimodal understanding of comics, manga, and related art forms. The research focuses on generalizable instance segmentation under visual style and domain shift (PI).
- 2023-2026: grant CIFRE with IMPACT. (Co-PI)
- 2023-2026: APR Optimedias (Artificial intelligence for the benefit of precision medicine in neuropsychiatry and infectiology) funded by the Region Centre-Val-de-Loire, France.
- 2022-2025 : ANR ASTRID ROV-Chasseur on weakly supervised learning and efficient deep models for robotic vision. (PI)
- 2022-2023 : ACHS: a scientific collaboration projet of the French Embassy in Vietnam on medical data analysis (PI)
- 2015-2016 : eDuc: a technology transfer project funded by the SATT Grand Center on lecture videos indexing (PI)
PhD students / Postdocs
- Etienne LEHEMBRE, postdoc of the project JUNON, 2025-2026.
- Rim Rahali, postdoc of the project ROV-Chasseur, 2023-2025.
- Jean-Daniel De-Ambrogi, “Efficient Deep Models for Indoor Reconstruction and Navigation on Mobile Devices”, co-supervisor with Aladine Chatouni
- Trung-Anh Dang, “Continual learning”, co-supervisor with Christel Vrain
- Yen Vu, “Semi- and self-supervised learning with clustering using knowledge. Application to mineral potential mapping”, co-supervisor with Christel Vrain and Bich Dao and Hugo Breillard - BRGM
- Huy Thong Bui, bourse France Excellence Eiffel, “Federated learning”, co-supervisor with Son VU
past announcements:
12/2025: 1 article on knowledge distillation for lightweight LLMs in sentiment analysis is accepted in LREC 2026.
11/2025: 1 article on semi-supervised object detection accepted in the journal Multimedia Tools and Applications.
10/2025: Our research on water resources, particularly groundwater time-series prediction using physics-informed neural networks (PINNs), has appeared in 9e édition de la Réunion des Sciences de la Terre 2025 and in Congrès Eau et IA 2026
09/2025: Looking for 2 interns in Computer Vision and Machine Learning, 1 experienced researcher on domain adaptation segmentation link.
08/2025: Our project ANR PRC EnACA is accepted.
02/2025: 1 article on efficient models accepted in the journal Pattern Analysis and Applications.
01/2025: 1 paper on semi-supervised learning accepted at VISAPP 2025.
11/2024: 1 paper on PU learning accepted at SAC 2025.
10/2024: 1 paper on Continual learning accepted at WACV 2024.