| Instance-aware Dynamic Prompt Tuning for Pre-trained Point Cloud Models Y Zha, J Wang, T Dai, B Chen, Z Wang, ST Xia Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 23 | 2023 |
| Towards Compact 3D Representations via Point Feature Enhancement Masked Autoencoders Y Zha, H Ji, J Li, R Li, T Dai, B Chen, Z Wang, ST Xia Proceedings of the AAAI Conference on Artificial Intelligence 38 (7), 6962-6970, 2023 | 7 | 2023 |
| SFR: Semantic-Aware Feature Rendering of Point Cloud Y Zha, R Li, T Dai, J Xiong, X Wang, ST Xia ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 4 | 2023 |
| Semantic Preserving Learning for Task-Oriented Point Cloud Downsampling J Xiong, T Dai, Y Zha, X Wang, ST Xia ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech and …, 2023 | 3 | 2023 |
| LCM: Locally Constrained Compact Point Cloud Model for Masked Point Modeling Y Zha, N Li, Y Wang, T Dai, H Guo, B Chen, Z Wang, Z Ouyang, ST Xia arXiv preprint arXiv:2405.17149, 2024 | 2 | 2024 |
| Invertible Residual Rescaling Models J Li, T Dai, Y Zha, Y Luo, L Lu, B Chen, Z Wang, ST Xia, J Zhang arXiv preprint arXiv:2405.02945, 2024 | 1 | 2024 |
| Large Point-to-Gaussian Model for Image-to-3D Generation L Lu, H Gao, T Dai, Y Zha, Z Hou, J Wu, ST Xia arXiv preprint arXiv:2408.10935, 2024 | | 2024 |
| Pre-training Point Cloud Compact Model with Partial-aware Reconstruction Y Zha, Y Wang, T Dai, ST Xia arXiv preprint arXiv:2407.09344, 2024 | | 2024 |
Shu-Tao XiaSIGS, Tsinghua University在 sz.tsinghua.edu.cn 的电子邮件经过验证
