About me

I am currently a Research Assistant at 4DVLab of ShanghaiTech University, supervised by Prof. Yuexin Ma. I am also fortunate to work closely with Dr. Xinge Zhu. Prior to joining 4DVLab, I obtained my bachelor’s degree from the joint program between Beijing University of Posts and Telecommunications and Queen Mary University of London, graduating with first-class honors.

My research aims to empower AI to comprehend the 3D world with human-like perception, by developing 3D understanding algorithms that are annotation-efficient, highly generalizable, and interpretable. Recently, I focus on leveraging vision-language models (VLMs) to improve the performance and generalization of autonomous driving algorithms.

You can find my CV here: Yuhang Lu’s Curriculum Vitae

🔥 News

  • 2024.09: OctreeOcc is accepted by NeurIPS 2024!
  • 2024.09: We introduce IDKB, the first large-scale vision-language dataset dedicated to professional driving knowledge and experience.
  • 2024.05: We propose OctreeOcc, a highly efficient, multi-granularity method for occupancy prediction.
  • 2023.07: Excited to share that my first paper SeeMore, has been accepted by ICCV 2023!
  • 2022.08: Thrilled to join 4DVLab as a Research Assistant.

📝 Publications

* indicates equal contributions

Under Review
sym

Can LVLMs Obtain a Driver’s License? A Benchmark Towards Reliable AGI for Autonomous Driving

Yuhang Lu*, Yichen Yao*, Jiadong Tu*, Jiangnan Shao*, Yuexin Ma, Xinge Zhu

Arxiv preprint

[Project Page] [Paper]

NeurIPS 2024
sym

OctreeOcc: Efficient and Multi-Granularity Occupancy Prediction Using Octree Queries

Yuhang Lu, Xinge Zhu, Tai Wang, Yuexin Ma

Conference on Neural Information Processing Systems (NeurIPS), 2024

[Paper] [Code]

ICCV 2023
sym

See More and Know More: Zero-shot Point Cloud Segmentation via Multi-modal Visual Data

Yuhang Lu*, Qi Jiang*, Runnan Chen, Yuenan Hou, Xinge Zhu, Yuexin Ma

Proceedings of the IEEE/CVF International Conference on Computer Vision (ICCV), 2023

[Paper] [Code]

📖 Educations

sym

Beijing University of Posts and Telecommunications (BUPT)

September 2018 - July 2022

Major: B.E. in Internet of Things Engineering

sym

Queen Mary University of London (QMUL)

September 2018 - July 2022

Major: B.E. in Internet of Things Engineering (first-class degree)

Miscellaneous

Hobbies

Love: 🏀Basketball, 🎱billiards and 🏃jogging