https://github.com/luost26/equivariant-orientedmp

:chair: Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)
https://github.com/luost26/equivariant-orientedmp

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:chair: Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)

• Host: GitHub
• URL: https://github.com/luost26/equivariant-orientedmp
• Owner: luost26
• License: mit
• Created: 2022-03-26T05:01:24.000Z (over 2 years ago)
• Default Branch: main
• Last Pushed: 2022-07-15T02:12:30.000Z (over 2 years ago)
• Last Synced: 2024-10-10T22:14:35.492Z (about 1 month ago)
• Language: Python
• Size: 28.3 KB
• Stars: 26
• Watchers: 6
• Forks: 0
• Open Issues: 2
• Metadata Files:
  • Readme: README.md
  • License: LICENSE

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README

        
# Equivariant-OrientedMP



:chair: Equivariant Point Cloud Analysis via Learning Orientations for Message Passing (CVPR 2022)

Paper: https://arxiv.org/abs/2203.14486

:construction: Work in progress...

## Citation

```bibtex

@InProceedings{Luo_2022_CVPR,

    author    = {Luo, Shitong and Li, Jiahan and Guan, Jiaqi and Su, Yufeng and Cheng, Chaoran and Peng, Jian and Ma, Jianzhu},

    title     = {Equivariant Point Cloud Analysis via Learning Orientations for Message Passing},

    booktitle = {Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},

    month     = {June},

    year      = {2022},

    pages     = {18932-18941}

}

```