DurLAR: A High-Fidelity 128-Channel LiDAR Dataset with Panoramic Ambient and Reflectivity Imagery for Multi-Modal Autonomous Driving Applications. - Li Li 092; Khalid N. Ismail; Hubert P. H. Shum; Toby P. Breckon (3DV, 2021)

Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation. - Li Li 092; Hubert P. H. Shum; Toby P. Breckon (CVPR, 2023)

TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. - Li Li 092; Tanqiu Qiao; Hubert P. H. Shum; Toby P. Breckon (BMVC, 2024)

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation. - Li Li 092; Hubert P. H. Shum; Toby P. Breckon (ECCV (7), 2024)

An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models. - Jiahao Sun; Chunmei Qing; Xiang Xu 009; Lingdong Kong; Youquan Liu; Li Li 092; Chenming Zhu; Jingwei Zhang; Zeqi Xiao; Runnan Chen; Tai Wang; Wenwei Zhang; et al. (CoRR, 2024)

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 092; Yixin Sun; Yona Falinie A. Gaus; Amir Atapour-Abarghouei; Toby P. Breckon (CoRR, 2025)

TFDM: Time-Variant Frequency-Based Point Cloud Diffusion with Mamba. - Jiaxu Liu 002; Li Li 092; Hubert P. H. Shum; Toby P. Breckon (CoRR, 2025)

TOMD: A Trail-based Off-road Multimodal Dataset for Traversable Pathway Segmentation under Challenging Illumination Conditions. - Yixin Sun; Li Li 092; Wenke E; Amir Atapour-Abarghouei; Toby P. Breckon (CoRR, 2025)