| Point2sequence: Learning the shape representation of 3d point clouds with an attention-based sequence to sequence network X Liu, Z Han, YS Liu, M Zwicker Proceedings of the AAAI conference on artificial intelligence 33 (01), 8778-8785, 2019 | 365 | 2019 |
| Point cloud completion by skip-attention network with hierarchical folding X Wen, T Li, Z Han, YS Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 307 | 2020 |
| Snowflakenet: Point cloud completion by snowflake point deconvolution with skip-transformer P Xiang, X Wen, YS Liu, YP Cao, P Wan, W Zheng, Z Han Proceedings of the IEEE/CVF international conference on computer vision …, 2021 | 295 | 2021 |
| Sdfdiff: Differentiable rendering of signed distance fields for 3d shape optimization Y Jiang, D Ji, Z Han, M Zwicker Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 261 | 2020 |
| SeqViews2SeqLabels: Learning 3D global features via aggregating sequential views by RNN with attention Z Han, M Shang, Z Liu, CM Vong, YS Liu, M Zwicker, J Han, CLP Chen IEEE Transactions on Image Processing 28 (2), 658-672, 2018 | 242 | 2018 |
| Pmp-net: Point cloud completion by learning multi-step point moving paths X Wen, P Xiang, Z Han, YP Cao, P Wan, W Zheng, YS Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 216 | 2021 |
| 3D2SeqViews: Aggregating Sequential Views for 3D Global Feature Learning by CNN with Hierarchical Attention Aggregation Z Han, H Lu, Z Liu, CM Vong, YS Liu, M Zwicker, J Han, CLP Chen IEEE Transactions on Image Processing, 2019 | 190 | 2019 |
| Neural-pull: Learning signed distance functions from point clouds by learning to pull space onto surfaces B Ma, Z Han, YS Liu, M Zwicker arXiv preprint arXiv:2011.13495, 2020 | 166 | 2020 |
| Multi-Angle Point Cloud-VAE: Unsupervised Feature Learning for 3D Point Clouds from Multiple Angles by Joint Self-Reconstruction and Half-to-Half Prediction Z Han, X Wang, YS Liu, M Zwicker International Conference on Computer Vision, 2019, 2019 | 158 | 2019 |
| View inter-prediction GAN: Unsupervised representation learning for 3D shapes by learning global shape memories to support local view predictions Z Han, M Shang, YS Liu, M Zwicker Proceedings of the AAAI conference on artificial intelligence 33 (01), 8376-8384, 2019 | 143 | 2019 |
| PMP-Net++: Point cloud completion by transformer-enhanced multi-step point moving paths X Wen, P Xiang, Z Han, YP Cao, P Wan, W Zheng, YS Liu IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (1), 852-867, 2022 | 139 | 2022 |
| Cycle4completion: Unpaired point cloud completion using cycle transformation with missing region coding X Wen, Z Han, YP Cao, P Wan, W Zheng, YS Liu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 123 | 2021 |
| L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention X Liu, Z Han, X Wen, YS Liu, M Zwicker ACM International Conference on Multimedia, 2019 | 100 | 2019 |
| Surface reconstruction from point clouds by learning predictive context priors B Ma, YS Liu, M Zwicker, Z Han Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 87 | 2022 |
| Learning consistency-aware unsigned distance functions progressively from raw point clouds J Zhou, B Ma, YS Liu, Y Fang, Z Han Advances in neural information processing systems 35, 16481-16494, 2022 | 78 | 2022 |
| Reconstructing surfaces for sparse point clouds with on-surface priors B Ma, YS Liu, Z Han Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 77 | 2022 |
| Snowflake point deconvolution for point cloud completion and generation with skip-transformer P Xiang, X Wen, YS Liu, YP Cao, P Wan, W Zheng, Z Han IEEE Transactions on Pattern Analysis and Machine Intelligence 45 (5), 6320-6338, 2022 | 72 | 2022 |
| Fine-grained 3D shape classification with hierarchical part-view attention X Liu, Z Han, YS Liu, M Zwicker IEEE Transactions on Image Processing 30, 1744-1758, 2021 | 72 | 2021 |
| Mesh convolutional restricted Boltzmann machines for unsupervised learning of features with structure preservation on 3-D meshes Z Han, Z Liu, J Han, CM Vong, S Bu, CLP Chen IEEE transactions on neural networks and learning systems 28 (10), 2268-2281, 2016 | 66 | 2016 |
| Spu-net: Self-supervised point cloud upsampling by coarse-to-fine reconstruction with self-projection optimization X Liu, X Liu, YS Liu, Z Han IEEE Transactions on Image Processing 31, 4213-4226, 2022 | 62 | 2022 |
