Scholar
Tuan-Hung Vu
Google Scholar ID: QIHrPZQAAAAJ
Senior Researcher, valeo.ai
Citations & Impact
Citations
3,517
H-index
18
i10-index
19
Publications
20
Co-authors
31
list available
Publications
Resume (English only)
Academic Achievements
- Published numerous papers, including those accepted by top conferences such as ECCV'24, CVPR'24, ICCV'23. Specific works include: 'ProLIP' on few-shot learning, 'GenVal' on synthetic evaluation in semantic segmentation, 'TTYD' on robust source-free domain adaptation, 'FAMix' on domain generalized semantic segmentation, 'SALUDA' on point-cloud domain adaptation, and 'PODA' on prompt-driven zero-shot domain adaptation. Additionally, organized several workshops and was recognized as a top reviewer at NeuRIPS’22.
Research Experience
- Serves as a senior research scientist at valeo.ai, overseeing multiple research projects. Also works as a part-time researcher in the Computer Vision group Astra-vision at INRIA Paris.
Education
- Received his PhD from École Normale Supérieure in 2014, under the supervision of Ivan Laptev; also obtained an engineering degree from Télécom Paris and a parallel “Master 2” degree in Mathematics, Machine Learning, and Computer Vision (MVA) from École Normale Supérieure Paris-Saclay in the same year.
Background
- Research interests include deep learning, scene understanding, domain adaptation, and data augmentation. Currently a Senior Research Scientist at valeo.ai (R&D Technical Manager, Valeo expert) and a part-time Researcher in the Computer Vision group Astra-vision at INRIA Paris.
Miscellany
- Resides in Paris, France.
