| Backward attentive fusing network with local aggregation classifier for 3D point cloud semantic segmentation H Shuai, X Xu, Q Liu IEEE Transactions on Image Processing 30, 4973-4984, 2021 | 44 | 2021 |
| Multi-modal data-efficient 3d scene understanding for autonomous driving L Kong, X Xu, J Ren, W Zhang, L Pan, K Chen, WT Ooi, Z Liu arXiv preprint arXiv:2405.05258, 2024 | 18 | 2024 |
| FRNet: Frustum-range networks for scalable LiDAR segmentation X Xu, L Kong, H Shuai, Q Liu arXiv preprint arXiv:2312.04484, 2023 | 9 | 2023 |
| CED-Net: contextual encoder–decoder network for 3D face reconstruction L Zhu, S Wang, Z Zhao, X Xu, Q Liu Multimedia Systems 28 (5), 1713-1722, 2022 | 5 | 2022 |
| An Empirical Study of Training State-of-the-Art LiDAR Segmentation Models J Sun, X Xu, L Kong, Y Liu, L Li, C Zhu, J Zhang, Z Xiao, R Chen, T Wang, ... arXiv preprint arXiv:2405.14870, 2024 | 3 | 2024 |
| Calib3d: Calibrating model preferences for reliable 3d scene understanding L Kong, X Xu, J Cen, W Zhang, L Pan, K Chen, Z Liu arXiv preprint arXiv:2403.17010, 2024 | 3 | 2024 |
| 4D Contrastive Superflows are Dense 3D Representation Learners X Xu, L Kong, H Shuai, W Zhang, L Pan, K Chen, Z Liu, Q Liu arXiv preprint arXiv:2407.06190, 2024 | | 2024 |
| Waterfall-Net: Waterfall Feature Aggregation for Point Cloud Semantic Segmentation H Shuai, X Xu, Q Liu Chinese Conference on Pattern Recognition and Computer Vision (PRCV), 28-40, 2022 | | 2022 |
| Semantic-aware object detection for 3D point cloud X Xu, G Huang, L Hu, Y Wang International Conference on Optics and Machine Vision (ICOMV 2022) 12173 …, 2022 | | 2022 |
Qingshan LiuNanjing University of Posts and TelecommunicationsVerified email at nuist.edu.cn
