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Code for paper "Classifying In-Place Gestures with End-to-End Point Cloud Learning"

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Prerequisites

pytorch >= 1.7.1
scikit-learn == 0.24.1
tensorboardx == 2.2

Experimental Dataset

Our dataset can be downloaded from GoogleDrive.

Model checkpoints

Models reported in our paper can be downloaded from GoogleDrive.

Reference

Code from PCT and MCD.

Thanks to the authors for contributing their code!

Citation

If it is helpful for your work, please cite our paper

@misc{zhao2021classifying,
      title={Classifying In-Place Gestures with End-to-End Point Cloud Learning}, 
      author={Lizhi Zhao and Xuequan Lu and Min Zhao and Meili Wang},
      year={2021},
      eprint={2108.09639},
      archivePrefix={arXiv},
      primaryClass={cs.HC}
}

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Code for paper "Classifying In-Place Gestures with End-to-End Point Cloud Learning"

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