| 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 | 320 | 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 | 259 | 2020 |
| 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 | 219 | 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 | 204 | 2018 |
| 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 | 194 | 2021 |
| 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 | 156 | 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 | 154 | 2019 |
| 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 | 138 | 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 | 129 | 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 | 107 | 2020 |
| 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 | 101 | 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 | 93 | 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 | 82 | 2022 |
| 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 | 65 | 2016 |
| Y2Seq2Seq: Cross-modal representation learning for 3D shape and text by joint reconstruction and prediction of view and word sequences Z Han, M Shang, X Wang, YS Liu, M Zwicker Proceedings of the AAAI Conference on Artificial Intelligence 33 (01), 126-133, 2019 | 53 | 2019 |
| Render4Completion: Synthesizing multi-view depth maps for 3D shape completion T Hu, Z Han, A Shrivastava, M Zwicker Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 52 | 2019 |
| Unsupervised 3D local feature learning by circle convolutional restricted Boltzmann machine Z Han, Z Liu, J Han, CM Vong, S Bu, X Li IEEE Transactions on Image Processing 25 (11), 5331-5344, 2016 | 52 | 2016 |
| 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 | 51 | 2021 |
| Deep spatiality: Unsupervised learning of spatially-enhanced global and local 3D features by deep neural network with coupled softmax Z Han, Z Liu, CM Vong, YS Liu, S Bu, J Han, CLP Chen IEEE Transactions on Image Processing 27 (6), 3049-3063, 2018 | 50 | 2018 |
| Reconstructing 3D shapes from multiple sketches using direct shape optimization Z Han, B Ma, YS Liu, M Zwicker IEEE Transactions on Image Processing 29, 8721-8734, 2020 | 47 | 2020 |
