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Xinhai Liu
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Publications
- 2023
- [j14]Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu:
D-Net: Learning for distinctive point clouds by self-attentive point searching and learnable feature fusion. Comput. Aided Geom. Des. 104: 102206 (2023) - [i8]Xinhai Liu, Zhizhong Han, Sanghuk Lee, Yan-Pei Cao, Yu-Shen Liu:
D-Net: Learning for Distinctive Point Clouds by Self-Attentive Point Searching and Learnable Feature Fusion. CoRR abs/2305.05842 (2023) - 2022
- [j13]Xinhai Liu, Xinchen Liu, Yu-Shen Liu, Zhizhong Han:
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction With Self-Projection Optimization. IEEE Trans. Image Process. 31: 4213-4226 (2022) - 2021
- [j12]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification With Hierarchical Part-View Attention. IEEE Trans. Image Process. 30: 1744-1758 (2021) - 2020
- [j11]Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker:
LRC-Net: Learning discriminative features on point clouds by encoding local region contexts. Comput. Aided Geom. Des. 79: 101859 (2020) - [j10]Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu:
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds Using Spatial-Aware Capsules. IEEE Trans. Image Process. 29: 8855-8869 (2020) - [i7]Xinhai Liu, Zhizhong Han, Fangzhou Hong, Yu-Shen Liu, Matthias Zwicker:
LRC-Net: Learning Discriminative Features on Point Clouds by Encoding Local Region Contexts. CoRR abs/2003.08240 (2020) - [i6]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Fine-Grained 3D Shape Classification with Hierarchical Part-View Attentions. CoRR abs/2005.12541 (2020) - [i5]Xinhai Liu, Xinchen Liu, Zhizhong Han, Yu-Shen Liu:
SPU-Net: Self-Supervised Point Cloud Upsampling by Coarse-to-Fine Reconstruction with Self-Projection Optimization. CoRR abs/2012.04439 (2020) - 2019
- [c11]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-Based Sequence to Sequence Network. AAAI 2019: 8778-8785 - [c10]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. IJCAI 2019: 766-773 - [c9]Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. ACM Multimedia 2019: 989-997 - [i4]Zhizhong Han, Xinhai Liu, Yu-Shen Liu, Matthias Zwicker:
Parts4Feature: Learning 3D Global Features from Generally Semantic Parts in Multiple Views. CoRR abs/1905.07506 (2019) - [i3]Xinhai Liu, Zhizhong Han, Xin Wen, Yu-Shen Liu, Matthias Zwicker:
L2G Auto-encoder: Understanding Point Clouds by Local-to-Global Reconstruction with Hierarchical Self-Attention. CoRR abs/1908.00720 (2019) - [i2]Xin Wen, Zhizhong Han, Xinhai Liu, Yu-Shen Liu:
Point2SpatialCapsule: Aggregating Features and Spatial Relationships of Local Regions on Point Clouds using Spatial-aware Capsules. CoRR abs/1908.11026 (2019) - 2018
- [i1]Xinhai Liu, Zhizhong Han, Yu-Shen Liu, Matthias Zwicker:
Point2Sequence: Learning the Shape Representation of 3D Point Clouds with an Attention-based Sequence to Sequence Network. CoRR abs/1811.02565 (2018)
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