Quentin Herau

I’m a Research Engineer at Applied Intuition in Sunnyvale, California, developing neural simulation for autonomous driving and robotics. My research spans 3D reconstruction, neural rendering and world models, including appearance transfer and scene modeling across repeated traversals.

I build scene representations for closed-loop training and evaluation of driving models, simulation-ready robotics assets, and world action model pretraining. I also mentor PhD research interns.

I completed an industrial PhD at Huawei Noah’s Ark Lab with ICB (CNRS / Université Bourgogne Europe) in 2025, working on targetless sensor calibration with dense differentiable rendering. Before that, I earned a diplôme d’ingénieur from ENSEEIHT in Toulouse and a research master’s degree, spent an exchange semester at National Taiwan University, and worked on active learning at IPAL (NUS / CNRS) in Singapore.

Quentin Herau standing beside the CVPR sign.

Publications

Google Scholar
Published Building Rome reconstruction of the Colosseum, shown with surface normals and a 47 metre height annotation.
Preprint 2026Building Rome

Building Rome from a Single Image

Jiraphon Yenphraphai, Fang Li, Tianshuo Xu, Depu Meng, Quentin Herau, Yihan Hu, Raymond A. Yeh, Wei Zhan

Generate complete indoor and outdoor scene meshes from one image using adaptive spatial chunks.

Service & interests

Reviewer for IROS (2023–2026), RA-L, IV (2025), NeurIPS (2025–2026), ECCV (2026) and ICLR (2027).

Outside research, I enjoy game design, oenology, cooking and working out.

Contact

quentin.herau@gmail.com

Research figure

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