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 |
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 Proceedings of the 27th ACM International Conference on Multimedia, 989-997, 2019 | 94 | 2019 |
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 |
Point2SpatialCapsule: Aggregating features and spatial relationships of local regions on point clouds using spatial-aware capsules X Wen, Z Han, X Liu, YS Liu IEEE Transactions on Image Processing 29, 8855-8869, 2020 | 43 | 2020 |
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 | 42 | 2022 |
Parts4Feature: Learning 3D global features from generally semantic parts in multiple views Z Han, X Liu, YS Liu, M Zwicker arXiv preprint arXiv:1905.07506, 2019 | 37 | 2019 |
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts X Liu, Z Han, F Hong, YS Liu, M Zwicker Computer Aided Geometric Design 79, 101859, 2020 | 24 | 2020 |
D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion X Liu, Z Han, S Lee, YP Cao, YS Liu Computer Aided Geometric Design 104, 102206, 2023 | | 2023 |