Dr Li Li

Durham University
PhD (Co-supervised with Prof. Toby P. Breckon)
, 2020 - 2024

Durham University
, United Kingdom

Downloads


Grants Involved


Publications with the Team

RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation
RAPiD-Seg: Range-Aware Pointwise Distance Distribution Networks for 3D LiDAR Segmentation Oral Paper (Top 2.3% of 8585 Submissions) H5-Index: 206# Core A* Conference
Proceedings of the 2024 European Conference on Computer Vision (ECCV), 2024
Li Li, Hubert P. H. Shum and Toby P. Breckon
Webpage Cite This Paper Supplementary Material YouTube Part 1 YouTube Part 2
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training  H5-Index: 65#
Proceedings of the 2024 British Machine Vision Conference (BMVC), 2024
Li Li, Tanqiu Qiao, Hubert P. H. Shum and Toby P. Breckon
Webpage Cite This Paper Supplementary Material
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation
Less is More: Reducing Task and Model Complexity for 3D Point Cloud Semantic Segmentation  Core A* Conference Citation: 36#
Proceedings of the 2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
Li Li, Hubert P. H. Shum and Toby P. Breckon
Webpage Cite This Paper Supplementary Material GitHub YouTube
DurLAR: A High-fidelity 128-Channel LiDAR Dataset with Panoramic Ambientand Reflectivity Imagery for Multi-Modal Autonomous Driving Applications
DurLAR: A High-fidelity 128-Channel LiDAR Dataset with Panoramic Ambientand Reflectivity Imagery for Multi-Modal Autonomous Driving Applications  H5-Index: 51# Citation: 19#
Proceedings of the 2021 International Conference on 3D Vision (3DV), 2021
Li Li, Khalid N. Ismail, Hubert P. H. Shum and Toby P. Breckon
Webpage Cite This Paper Dataset GitHub YouTube

Links

Webpage
Webpage
Google Scholar
Google Scholar

 

RSS Feed