PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition-Reference-Cited by-同舟云学术

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PRENet: A Plane-Fit Redundancy Encoding Point Cloud Sequence Network for Real-Time 3D Action Recognition

Published:2024-06-30 Issue: Volume:30 Page:1-8
ISSN:
Container-title:2024 International Joint Conference on Neural Networks (IJCNN)
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Author:

He Shenglin¹,Qu Xiaoyang²,Wan Jiguang¹,Li Guokuan¹,Xie Changsheng¹,Wang Jianzong²

Affiliation:

1. Huazhong University of Science and Technology,China

2. Ping An Technology (Shenzhen) Co., Ltd.

Funder

Research and Development

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10649807/10649898/10650453.pdf?arnumber=10650453

Reference39 articles.

1. MeteorNet: Deep Learning on Dynamic 3D Point Cloud Sequences

2. Pstnet: Point spatio-temporal convolution on point cloud sequences;Fan

3. Real-Time 3D Human Action Recognition Based on Hyperpoint Sequence

4. Point 4D Transformer Networks for Spatio-Temporal Modeling in Point Cloud Videos

5. 3DV: 3D Dynamic Voxel for Action Recognition in Depth Video

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