| Spidercnn: Deep learning on point sets with parameterized convolutional filters Y Xu, T Fan, M Xu, L Zeng, Y Qiao Proceedings of the European conference on computer vision (ECCV), 87-102, 2018 | 998 | 2018 |
| Learning geometry-disentangled representation for complementary understanding of 3d object point cloud M Xu, J Zhang, Z Zhou, M Xu, X Qi, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence. 2021 35 (04 …, 2020 | 135 | 2020 |
| Geometry sharing network for 3d point cloud classification and segmentation M Xu, Z Zhou, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 12500 …, 2020 | 108 | 2020 |
| CP3: Unifying point cloud completion by pretrain-prompt-predict paradigm M Xu, Y Wang, Y Liu, T He, Y Qiao IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (8), 9583-9594, 2023 | 17 | 2023 |
| Investigate indistinguishable points in semantic segmentation of 3d point cloud M Xu, Z Zhou, J Zhang, Y Qiao Proceedings of the AAAI Conference on Artificial Intelligence. 2021 35 (04 …, 2021 | 14 | 2021 |
| Multi-view partial (mvp) point cloud challenge 2021 on completion and registration: Methods and results L Pan, T Wu, Z Cai, Z Liu, X Yu, Y Rao, J Lu, J Zhou, M Xu, X Luo, K Fu, ... arXiv preprint arXiv:2112.12053, 2021 | 13 | 2021 |
| CP-Net: contour-perturbed reconstruction network for self-supervised point cloud learning M Xu, Z Zhou, H Xu, Y Qiao, Y Wang IEEE Transactions on Multimedia, 2024 | 10 | 2024 |
| Mm-3dscene: 3d scene understanding by customizing masked modeling with informative-preserved reconstruction and self-distilled consistency M Xu, M Xu, T He, W Ouyang, Y Wang, X Han, Y Qiao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
| Dual-branch deep point cloud registration framework for unconstrained rotation K Fu, Z Li, M Xu, X Luo, M Wang IEEE Transactions on Industrial Informatics 19 (7), 7851-7861, 2022 | 7 | 2022 |
| Towards robustness and generalization of point cloud representation: A geometry coding method and a large-scale object-level dataset M Xu, Z Zhou, Y Wang, Y Qiao Computational Visual Media 10 (1), 27-43, 2024 | 1 | 2024 |
Yu QiaoProfessor of Shanghai AI Laboratory; Shenzhen Institutes of Advanced Technology, CASVerifisert e-postadresse på siat.ac.cn