Lê Tuân (Tuan Le)

3D perception for autonomous driving and robotics

I am a postdoctoral researcher at the Heudiasyc Laboratory, University of Technology of Compiègne (UTC), France, working with Julien Moreau and Franck Davoine. My research covers open-vocabulary 3D object detection from LiDAR and camera data and, more recently, event-based vision with binary neural networks.

I received my PhD from UTC (Roberval Laboratory) in 2024, advised by Vu Hai Canh and Zohra Cherfi-Boulanger, with the thesis "Semi-supervised Deep Learning for Robust Anomaly Detection in Smart Manufacturing Systems".

I am currently looking for research and engineering positions in 3D perception and computer vision.

Photo of Lê Tuân

Research

Automatic 3D Annotation of LiDAR Data from Text Prompts
Ongoing research, 2026
video demo

Producing 3D bounding boxes in LiDAR point clouds without human 3D labels, by combining 2D vision foundation models with LiDAR geometry. Any object category that can be named in text can be annotated.

News

Blog

Self-driving cars

Localization & Mapping: Visual Odometry (VI), SLAM (VI), Localization (VI)
More parts coming: Road & Lane Detection · Reconstruction & Motion · Vehicle Dynamics · Vehicle Control

Robot perception

Coming soon: Event cameras · asynchronous, high-speed / high-dynamic-range vision for robotics.