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.
- Robust AI
08/2025: Our project ANR PRC EnACA is accepted.
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.
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.
<!– 10/2023: 1 paper on non-English LLM accepted at EMNLP 2023. A collaboration work with researchers at the WASP Media & Language Arena and the DopikAI lab.
7/2023: 1 paper accepted at CBMI 2023.
01/2023: We have 3 PhD positions and 3 internship positions in Machine Learning. Please contact us for more information
10/2022: Our project APR Optimedias (Artificial intelligence for the benefit of precision medicine in neuropsychiatry and infectiology) is accepted by the Region Centre-Val-de-Loire, France.
05/2022: Our project ACHS (Detection of anomalies in the streaming of health data from smartphone sensors) is selected for the Scientific Cooperation program of the French Embassy in Vietnam.
03/2022: I am looking for 2 post-docs, in self/semi supervised learning and in efficient deep models, and 2 interns in Computer Vision and/or Machine Learning.
12/2021: Our project ROV-Chasseur is accepted (Project ANR Astrid 2021 on Robotic). This project focuses on the self- and semi-supervised learning approach and the design of efficient deep models based on the compression of deep neural networks.
09/2021: Since 09/2021 I started to work as associate professor at the University of Orléans.
05/2021: Two papers accepted at ICDAR2021, CORE rank A.
04/2021: Our team L3IRIS has won the Task 1, the flagship task of the ICDAR 2021 Competition on Historical Map Segmentation. We will release the prediction code with the pre-trained model of our method soon on here
03/2021: An article (in Vietnamese) on the power of social networks like Facebook appeared in the Opinion column of VnExpress (one of the most important media in Vietnam).
01/2021: The official website and Codalab site for our challenge EmoRecCom are now available.
12/2020: The official website and Codalab site for our challenge MC-OCR are now available.
11/2020: Our MC-OCR (Mobile-Captured Image Document Recognition for Vietnamese Receipts) challenge proposal is accepted at RIVF2021! (A collaboration work with researchers at the Umea university, Oracle Australian, Purchease company).
- 10/2020: 1 paper is accepted at MANPU@ICPR2021!
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