Raoul de Charette

48 rue Barrault, 75013 Paris, France.

Welcome. I’m a Research Director in computer vision at Inria Paris, where I lead the Astra-Vision group, within the ASTRA team. My Habilitation (HDR) was completed in 2022, and my PhD in 2012 from Mines Paris. I worked in Carnegie Mellon Uni. (2011), Mines Paris (2013), and Uni. of Makedonia (2014). Beside research, I serve in most venues of the field as area chair (CVPR, ECCV, WACV, IROS), co-organize events such as ACVSS, WSCV, Indaba, and am currently an ELLIS member and a PR[AI]RIE-PSAI Fellow.

My research interest lies in robust and interpretable visual scene understanding.

Email: R.C@inria.fr (replace R with raoul, C with de-charette)

New PR[AI]RIE PhD position on Physics-Grounded Vision Foundation Models.

I'm always looking for talented students, and have regular PhD, Postdoc or intern positions opened. Feel free to email me with a resume + 2 references.

news

2025.07	Organizing the 2nd African Computer Vision Summer School in Kigali, Rwanda from July 13th to 23rd, with an amazing lineup of speakers.
2025.06	MatSwap was awarded 🏆 Best Paper Honorable Mention at EGSR 25. Huge shout out to Ivan and team, it was a great collaboration.
	Organizing PixFoundation at CVPR 2025, the 1st Workshop on Pixel-level Vision Foundation Models.
2025.04	🎓 We opened a PhD topic on “Physics-Grounded Vision Foundation Models”. Apply before May 20th 2025. More details on the astra-vision job page.
2024.10	New VLMs papers out. LatteCLIP in collaboration with Amazon proposes a new strategy for unsupervised CLIP finetuning via synthetic text generation. ProLIP in collaboration with Valeo.ai and Kyutai is a few-shot classification relying on minimal finetuning with strong regularization.

Students

Mohammad Fahes
PhD student
co-supervised with Tuan-Hung Vu, Andrei Bursuc (Valeo.ai) and Patrick Pérez (Kyutai)

Ivan Lopes
PhD student

Tetiana Martyniuk
PhD student
co-supervised with Alexandre Boulch, Gilles Puy, Renaud Marlet (Valeo.ai)

Fatima Balde
Intern

Soumava Paul
Intern

Jonathan Seele
Intern

Selected publications

PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness

Anh-Quan Cao, Angela Dai, and Raoul de Charette

In CVPR, 2024

Oral, Best paper award Candidate

Bib Project page PDF Code

Oral, Best paper award Candidate

@inproceedings{cao2023pasco,
  author = {Cao, Anh-Quan and Dai, Angela and {de Charette}, Raoul},
  title = {PaSCo: Urban 3D Panoptic Scene Completion with Uncertainty Awareness},
  booktitle = {CVPR},
  year = {2024},
}

Material Palette: Extraction of Materials from a Single Image

Ivan Lopes, Fabio Pizzati, and Raoul de Charette

In CVPR, 2024

Bib Project page PDF Code

@inproceedings{lopes2023material,
  author = {Lopes, Ivan and Pizzati, Fabio and {de Charette}, Raoul},
  title = {Material Palette: Extraction of Materials from a Single Image},
  booktitle = {CVPR},
  year = {2024},
}

PODA: Prompt-driven Zero-shot Domain Adaptation

Mohammad Fahes, Tuan-Hung Vu, Andrei Bursuc, Patrick Pérez, and Raoul de Charette

In ICCV, 2023

Bib Project page PDF Code

@inproceedings{fahes2022poda,
  author = {Fahes, Mohammad and Vu, Tuan-Hung and Bursuc, Andrei and P{\'e}rez, Patrick and {de Charette}, Raoul},
  title = {PODA: Prompt-driven Zero-shot Domain Adaptation},
  booktitle = {ICCV},
  year = {2023},
}

All publications >>>