| O-CNN: Octree-based Convolutional Neural Networks for 3D Shape Analysis PS Wang, Y Liu, YX Guo, CY Sun, X Tong ACM Transactions on Graphics (SIGGRAPH) 36 (4), 2017 | 1299 | 2017 |
| Adaptive O-CNN: A patch-based deep representation of 3D shapes PS Wang, CY Sun, Y Liu, X Tong ACM Transactions on Graphics (SIGGRAPH Asia) 37 (6), 2018 | 243 | 2018 |
| Point Transformer V3: Simpler, Faster, Stronger X Wu, L Jiang, PS Wang, Z Liu, X Liu, Y Qiao, W Ouyang, T He, H Zhao Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2024 | 173 | 2024 |
| Mesh denoising via cascaded normal regression PS Wang, Y Liu, X Tong ACM Transactions on Graphics (SIGGRAPH Asia) 35 (6), 2016 | 163 | 2016 |
| Deep implicit moving least-squares functions for 3D reconstruction SL Liu, HX Guo, H Pan, PS Wang, X Tong, Y Liu Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 123 | 2021 |
| Locally Attentional SDF Diffusion for Controllable 3D Shape Generation XY Zheng, H Pan, PS Wang, X Tong, Y Liu, HY Shum ACM Transactions on Graphics (SIGGRAPH) 42 (4), 2023 | 101 | 2023 |
| OctFormer: Octree-based Transformers for 3D Point Clouds PS Wang ACM Transactions on Graphics (SIGGRAPH) 42 (4), 2023 | 99 | 2023 |
| SDF-StyleGAN: Implicit SDF-Based StyleGAN for 3D Shape Generation XY Zheng, Y Liu, PS Wang, X Tong Computer Graphics Forum (SGP), 2022 | 91 | 2022 |
| Rolling guidance normal filter for geometric processing PS Wang, XM Fu, Y Liu, X Tong, SL Liu, B Guo ACM Transactions on Graphics (SIGGRAPH Asia) 34 (6), 2015 | 86 | 2015 |
| Swin3D: A pretrained transformer backbone for 3D indoor scene understanding YQ Yang, YX Guo, JY Xiong, Y Liu, H Pan, PS Wang, X Tong, B Guo arXiv preprint arXiv:2304.06906, 2023 | 77 | 2023 |
| Deep octree-based CNNs with output-guided skip connections for 3D shape and scene completion PS Wang, Y Liu, X Tong Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 70 | 2020 |
| Dual Octree Graph Networks for Learning Adaptive Volumetric Shape Representations PS Wang, Y Liu, X Tong ACM Transactions on Graphics (SIGGRAPH) 41 (4), 2022 | 57 | 2022 |
| Unsupervised 3D Learning for Shape Analysis via Multiresolution Instance Discrimination PS Wang, YQ Yang, QF Zou, Z Wu, Y Liu, X Tong The AAAI Conference on Artificial Intelligence, 2020 | 48 | 2020 |
| OctSurf: Efficient hierarchical voxel-based molecular surface representation for protein-ligand affinity prediction Q Liu, PS Wang, C Zhu, BB Gaines, T Zhu, J Bi, M Song Journal of Molecular Graphics and Modelling 105, 2021 | 35 | 2021 |
| Spline Positional Encoding for Learning 3D Implicit Signed Distance Fields PS Wang, Y Liu, YQ Yang, X Tong International Joint Conferences on Artificial Intelligence (IJCAI), 2021 | 25 | 2021 |
| Semi-supervised 3D shape segmentation with multilevel consistency and part substitution CY Sun, YQ Yang, HX Guo, PS Wang, X Tong, Y Liu, HY Shum Computational Visual Media, 2022 | 17 | 2022 |
| 3D Feature Prediction for Masked-AutoEncoder-Based Point Cloud Pretraining S Yan, Y Yang, Y Guo, H Pan, PS Wang, X Tong, Y Liu, Q Huang International Conference on Learning Representations (ICLR), 2024 | 12 | 2024 |
| Neural-Singular-Hessian: Implicit Neural Representation of Unoriented Point Clouds by Enforcing Singular Hessian Z Wang, Y Zhang, R Xu, F Zhang, PS Wang, S Chen, S Xin, W Wang, ... ACM Transactions on Graphics (SIGGRAPH Asia) 42 (6), 2023 | 11 | 2023 |
| Neural-IMLS: Self-supervised Implicit Moving Least-Squares Network for Surface Reconstruction Z Wang, P Wang, PS Wang, Q Dong, J Gao, S Chen, S Xin, C Tu, W Wang Transactions on Visualization and Computer Graphics (TVCG), 2023 | 11 | 2023 |
| Randomized Quantization: A Generic Augmentation for Data Agnostic Self-supervised Learning H Wu, C Lei, X Sun, PS Wang, Q Chen, KT Cheng, S Lin, Z Wu Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 10* | 2023 |
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