Scholar
Stéphane Lathuilière
Google Scholar ID: xllguWMAAAAJ
Research Scientist at Inria, University Grenoble Alpes
Citations & Impact
Citations
4,876
H-index
28
i10-index
44
Publications
20
Co-authors
26
list available
Contact
No contact links provided.
Publications
Resume (English only)
Academic Achievements
- Two papers accepted at ECCV 2024 with oral presentations on Continual learning with weight averaging and Privacy-Preserving ReId; one paper accepted at CVPR 2024 on Collaborating Foundation models for Domain Generalized Semantic Segmentation; two papers accepted at WACV 2024 on efficient VIT adaptation and the adaptation of Re-ID models with privacy-preserving constraints; two Papers accepted at ICCV 2023 on Zero-shot semantic image synthesis and domain adaptation with vision-language models; one Paper accepted at CVPR 2023 on Few-shot semantic image synthesis + 2 workshop papers.
Research Experience
- Currently a research scientist in the RobotLearn team at Inria Grenoble. Until December 2024, was an associate professor (maître de conférence) at Telecom Paris, France, where led the multimedia research team.
Education
- Obtained a Ph.D. in mathematics and computer science from Université Grenoble Alpes (France) in 2018, under the supervision of Dr. Radu Horaud. Previously, was a post-doctoral fellow at the University of Trento in the Multimedia and Human Understanding Group, led by Prof. Nicu Sebe and Prof. Elisa Ricci.
Background
- 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. Published papers in the most prestigious computer vision conferences (CVPR, ICCV, ECCV, NeurIPS) and top journals (T-PAMI). Collaborated with numerous academic and industry leaders, including Snapchat, Meta, and Atos.
Miscellany
- Recruiting interns, PhD students, postdocs, and an engineer at Inria Grenoble to work on image and video generation.
