| Sparse fuse dense: Towards high quality 3d detection with depth completion X Wu, L Peng, H Yang, L Xie, C Huang, C Deng, H Liu, D Cai Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 186 | 2022 |
| Detrs with hybrid matching D Jia, Y Yuan, H He, X Wu, H Yu, W Lin, L Sun, C Zhang, H Hu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2023 | 157 | 2023 |
| Graph r-cnn: Towards accurate 3d object detection with semantic-decorated local graph H Yang, Z Liu, X Wu, W Wang, W Qian, X He, D Cai European Conference on Computer Vision, 662-679, 2022 | 80 | 2022 |
| Did-m3d: Decoupling instance depth for monocular 3d object detection L Peng, X Wu, Z Yang, H Liu, D Cai European Conference on Computer Vision, 71-88, 2022 | 58 | 2022 |
| Learning occupancy for monocular 3d object detection L Peng, J Xu, H Cheng, Z Yang, X Wu, W Qian, W Wang, B Wu, D Cai Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 8 | 2024 |
| Boosting semi-supervised 3d object detection with semi-sampling X Wu, Y Zhao, L Peng, H Chen, X Huang, B Lin, H Liu, D Cai, W Ouyang arXiv preprint arXiv:2211.07084, 2022 | 3 | 2022 |
| Semi-supervised 3D Object Detection with PatchTeacher and PillarMix X Wu, L Peng, L Xie, Y Hou, B Lin, X Huang, H Liu, D Cai, W Ouyang Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 6153-6161, 2024 | 1 | 2024 |
| TASeg: Temporal Aggregation Network for LiDAR Semantic Segmentation X Wu, Y Hou, X Huang, B Lin, T He, X Zhu, Y Ma, B Wu, H Liu, D Cai, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | | 2024 |
