Li Li li.li4@durham.ac.uk
PGR Student Doctor of Philosophy
TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training
Li, L.; Qiao, T.; Shum, H. P. H.; Breckon, T. P.
Authors
Tanqiu Qiao tanqiu.qiao@durham.ac.uk
PGR Student Doctor of Philosophy
Professor Hubert Shum hubert.shum@durham.ac.uk
Professor
Professor Toby Breckon toby.breckon@durham.ac.uk
Professor
Citation
Li, L., Qiao, T., Shum, H. P. H., & Breckon, T. P. (2024, November). TraIL-Det: Transformation-Invariant Local Feature Networks for 3D LiDAR Object Detection with Unsupervised Pre-Training. Presented at BMVC'24: The 35th British Machine Vision Conference, Glasgow, UK
| Presentation Conference Type | Conference Paper (published) |
|---|---|
| Conference Name | BMVC'24: The 35th British Machine Vision Conference |
| Start Date | Nov 25, 2024 |
| End Date | Nov 28, 2024 |
| Acceptance Date | Aug 1, 2024 |
| Publication Date | 2024 |
| Deposit Date | Sep 3, 2024 |
| Publicly Available Date | Dec 31, 2024 |
| Peer Reviewed | Peer Reviewed |
| Book Title | Proceedings of the 35th British Machine Vision Conference |
| Keywords | autonomous driving, LiDAR, 3D feature points |
| Public URL | https://durham-repository.worktribe.com/output/2783919 |
| Publisher URL | https://bmvc2024.org/proceedings/533/ |
Files
Accepted Conference Paper
(5.4 Mb)
PDF
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