Li Li

According to our database, Li Li authored at least 8 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions.

Yixin Sun, Li Li, Wenke E, Amir Atapour-Abarghouei, Toby P. Breckon

CoRR, June, 2025

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba.

Jiaxu Liu, Li Li, Hubert P. H. Shum, Toby P. Breckon

CoRR, March, 2025

Dur360BEV: A Real-world 360-degree Single Camera Dataset and Benchmark for Bird-Eye View Mapping in Autonomous Driving.

Wenke E, Chao Yuan, Li Li, Yixin Sun, Yona Falinie A. Gaus, Amir Atapour-Abarghouei, Toby P. Breckon

CoRR, March, 2025

2024

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models.

Jiahao Sun, Chunmei Qing, Xiang Xu, Lingdong Kong, Youquan Liu, Li Li, Chenming Zhu, Jingwei Zhang, Zeqi Xiao, Runnan Chen, Tai Wang, Wenwei Zhang, Kai Chen

CoRR, 2024

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation.

Li Li, Hubert P. H. Shum, Toby P. Breckon

Proceedings of the Computer Vision - ECCV 2024, 2024

TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training.

Li Li, Tanqiu Qiao, Hubert P. H. Shum, Toby P. Breckon

Proceedings of the 35th British Machine Vision Conference, 2024

2023

Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation.

Li Li, Hubert P. H. Shum, Toby P. Breckon

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2021

DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications.

Li Li, Khalid N. Ismail, Hubert P. H. Shum, Toby P. Breckon

Proceedings of the International Conference on 3D Vision, 2021