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)

We opened a new PR[AI]RIE PhD position on "Physics-Grounded Vision Foundation Models".
Apply before: May 20th 2025. Check details here

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	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.
	Actively looking for talented PhD candidates and PostDoc. See instruction below.

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 >>>