Stéphane Lathuilière

Research Scientist in the RobotLearn team at Inria Grenoble

Stéphane Lathuilière

I am a research scientist in the RobotLearn team at Inria Grenoble. My research interests include machine learning for computer vision problems (e.g., adaptation of foundation models, continual learning), generative models for image and video generation, and multimodal learning.

I have published papers in the most prestigious computer vision conferences (CVPR, ICCV, ECCV, NeurIPS) and top journals (T-PAMI). I have collaborated with numerous academic and industry leaders, including Snapchat, Meta, and Atos.


Last News


Publications

Full and updated list available on Google Scholar.


Community Service

I frequently contribute to the community as an Area Chair for major venues, including CVPR (2025-2026), ECCV (2024-2026), ICIAP 2025, and ACM Multimedia 2022. Additionally, I regularly serve as a reviewer for top-tier journals such as T-PAMI, IJCV, TIP, RA-L, and TMLR, as well as for international conferences including CVPR, ICCV, ICLR, ICML, NeurIPS, and ECCV. I served as an Associate Editor for IEEE Transactions on Multimedia (TMM) from 2023 to 2025.


Teaching

Since 2025, I have been involved in teaching activities at UGA and Ensimag-Grenoble INP, focusing on Deep Learning and Computer Vision (~40h/year). Previously, from 2019 to 2024, I was an Associate Professor at Télécom Paris, where I taught various programs in AI and Computer Vision. I remain occasionally involved in the AI Master's programs at both Télécom Paris and École Polytechnique.


Team


Contact

655 Av. de l'Europe, 38330 Montbonnot-Saint-Martin
Office H118