关注
Liu Lin
Liu Lin
在 bjtu.edu.cn 的电子邮件经过验证
标题
引用次数
引用次数
年份
GraphAlign++: An accurate feature alignment by graph matching for multi-modal 3D object detection
Z Song, C Jia, L Yang, H Wei, L Liu
IEEE Transactions on Circuits and Systems for Video Technology, 2023
222023
Robustness-aware 3d object detection in autonomous driving: A review and outlook
Z Song, L Liu, F Jia, Y Luo, C Jia, G Zhang, L Yang, L Wang
IEEE Transactions on Intelligent Transportation Systems, 2024
152024
Robofusion: Towards robust multi-modal 3d obiect detection via sam
Z Song, G Zhang, L Liu, L Yang, S Xu, C Jia, F Jia, L Wang
arXiv preprint arXiv:2401.03907, 2024
102024
Graphbev: Towards robust bev feature alignment for multi-modal 3d object detection
Z Song, L Yang, S Xu, L Liu, D Xu, C Jia, F Jia, L Wang
arXiv preprint arXiv:2403.11848, 2024
92024
Voxelnextfusion: A simple, unified and effective voxel fusion framework for multi-modal 3d object detection
Z Song, G Zhang, J Xie, L Liu, C Jia, S Xu, Z Wang
arXiv preprint arXiv:2401.02702, 2024
92024
Urformer: Unified representation lidar-camera 3d object detection with transformer
G Zhang, J Xie, L Liu, Z Wang, K Yang, Z Song
Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 401-413, 2023
62023
ContrastAlign: Toward Robust BEV Feature Alignment via Contrastive Learning for Multi-Modal 3D Object Detection
Z Song, F Jia, H Pan, Y Luo, C Jia, G Zhang, L Liu, Y Ji, L Yang, L Wang
arXiv preprint arXiv:2405.16873, 2024
52024
SparseDet: A Simple and Effective Framework for Fully Sparse LiDAR-based 3D Object Detection
L Liu, Z Song, Q Xia, F Jia, C Jia, L Yang, H Pan
arXiv preprint arXiv:2406.10907, 2024
12024
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