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Lue Fan (范略)

Assistant Professor

NLPR (模式识别实验室), Institute of Automation
Chinese Academy of Sciences

Email: lue.fan at ia.ac.cn

[Google Scholar][GitHub]

About Me

I am currently an assistant professor in NLPR, Institute of Automation, Chinese Academy of Sciences. I got my Ph.D. degree from this lab in June 2024, supervised by Prof. Zhaoxiang Zhang, and bachelor's degree from Xi'an Jiaotong University (XJTU) in 2019, majoring in automation. I was a research intern at TuSimple developing perception algorithm for autonomous trucks from May 2020 to April 2023, supervised by Dr. Naiyan Wang and Dr. Feng Wang.

My research interests focus on the perception/decision/simulation algorithms in autonomous driving scenarios. During Ph.D., my representative research lies in a series of algorithms for LiDAR-based fully sparse detection, supporting the super long-range perception and enhancing the driving safety. Currently, I am mainly focusing on driving simulation and work closely with Prof. Hongsheng Li @ MMLab.

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Research Summary

My research spans three key areas in autonomous driving: perception, decision-making, and simulation. I have developed algorithms for LiDAR-based fully sparse 3D object detection, enabling super long-range perception capabilities for autonomous driving systems.

Recently, I focus on driving simulation technologies, including novel view synthesis and world models for autonomous driving systems. My work aims to bridge the gap between simulation and real-world autonomous driving scenarios.

Selected Work

*: Equal Contribution; †: Corresponding Author

2025

End-to-End Driving with Online Trajectory Evaluation via BEV World Model
Yingyan Li, Yuqi Wang, Yang Liu, Jiawei He, Lue Fan†, Zhaoxiang Zhang†
ICCV 2025
[Paper][Code]
LayerAnimate: Layer-level Control for Animation
Yuxue Yang, Lue Fan, Zuzeng Lin, Feng Wang, Zhaoxiang Zhang
ICCV 2025
[Paper][Project Page]
FreeSim: Toward Free-viewpoint Camera Simulation in Driving Scenes
Lue Fan*, Hao Zhang*, Qitai Wang, Hongsheng Li†, Zhaoxiang Zhang†
CVPR 2025
[Paper][Project Page]
FlexDrive: Toward Trajectory Flexibility in Driving Scene Reconstruction and Rendering
Jingqiu Zhou*, Lue Fan*, Linjiang Huang, Xiaoyu Shi, Si Liu, Z. Zhang†, Hongsheng Li†
CVPR 2025
[Paper]
FreeVS: Generative View Synthesis on Free Driving Trajectory
Qitai Wang, Lue Fan, Yuqi Wang, Yuntao Chen†, Zhaoxiang Zhang†
ICLR 2025
[Paper][Project Page]
Enhancing End-to-End Autonomous Driving with Latent World Model
Yingyan Li, Lue Fan, Jiawei He, Yuqi Wang, Yuntao Chen, Zhaoxiang Zhang, Tieniu Tan
ICLR 2025
[Paper][Code]

2024

FSD V2: Improving Fully Sparse 3D Object Detection with Virtual Voxels
Lue Fan, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
TPAMI 2024
[Paper][Code]
OpenSatMap: A Fine-grained High-resolution Satellite Dataset for Large-scale Map Construction
Hongbo Zhao, Lue Fan, Yuntao Chen, Haochen Wang, Yuran Yang, Xiaojuan Jin, Yixin Zhang, Gaofeng Meng, Zhaoxiang Zhang
NeurIPS 2024 D&B Track
[Paper][Project Page]
Trim 3D Gaussian Splatting for Accurate Geometry Representation
Lue Fan*, Yuxue Yang*, Minxing Li, Hongsheng Li†, Zhaoxiang Zhang†
[Paper][Code][Project Page]
Voxel Mamba: Group-Free State Space Models for Point Cloud based 3D Object Detection
Guowen Zhang, Lue Fan, Chenhang He, Zhen Lei, Zhaoxiang Zhang, Lei Zhang
NeurIPS 2024
[Paper][Code]
Driving into the Future: Multiview Visual Forecasting and Planning with World Model for Autonomous Driving
Yuqi Wang*, Jiawei He*, Lue Fan*, Hongxin Li*, Yuntao Chen†, Zhaoxiang Zhang†
CVPR 2024
[Paper][Code][Project Page]
MixSup: Mixed-grained Supervision for Label-efficient LiDAR-based 3D Object Detection
Yuxue Yang, Lue Fan†, Zhaoxiang Zhang†
ICLR 2024
[Paper][Code]

2023

Once Detected, Never Lost: Surpassing Human Performance in Offline LiDAR based 3D Object Detection (CTRL)
Lue Fan, Yuxue Yang, Yiming Mao, Feng Wang, Yuntao Chen, Naiyan Wang, Zhaoxiang Zhang
ICCV 2023 (Oral)
[Paper][Code]
Super Sparse 3D Object Detection (FSD++)
Lue Fan, Yuxue Yang, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
TPAMI 2023
[Paper][Code]

2022

Fully Sparse 3D Object Detection (FSD)
Lue Fan, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
NeurIPS 2022
[Paper][Code]
Embracing Single Stride 3D Object Detector with Sparse Transformer (SST)
Lue Fan, Ziqi Pang, Tianyuan Zhang, Yu-Xiong Wang, Hang Zhao, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
CVPR 2022
[Paper][Code]

2021

RangeDet: In Defense of Range View for Lidar-based 3D Object Detection
Lue Fan*, Xuan Xiong*, Feng Wang, Naiyan Wang, Zhaoxiang Zhang
ICCV 2021
[Paper][Code]