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 | 22 | 2023 |
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 | 15 | 2024 |
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 | 10 | 2024 |
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 | 9 | 2024 |
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 | 9 | 2024 |
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 | 6 | 2023 |
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 | 5 | 2024 |
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 | 1 | 2024 |