MGE-Net: Task-oriented Point Cloud Sampling based on Multi-scale Geometry Estimation-Reference-Cited by-同舟云学术

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MGE-Net: Task-oriented Point Cloud Sampling based on Multi-scale Geometry Estimation

Published:2024-05-08 Issue: Volume:30 Page:2822-2827
ISSN:
Container-title:2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)
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Author:

Zeng Weiliang¹,Li Yushi²,Chen Rong³,Xiang Rong⁴,Wang Yunzhe⁵,Gu Jinghang⁶

Affiliation:

1. Xi’an Jiaotong-Liverpool University,Suzhou,China

2. Xi’an Jiaotong-Liverpool University,Department of Intelligent Science,Suzhou,China

3. Dalian Maritime University,College of Information Science and Technology,Dalian,China

4. The Hong Kong Polytechnic University,Department of Computing,Hong Kong,China

5. Suzhou University of Science and Technology,Suzhou,China

6. The Hong Kong Polytechnic University,Chinese and Bilingual Studies,Hong Kong,China

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx8/10579968/10579982/10580588.pdf?arnumber=10580588

Reference26 articles.

1. Pointnet: Deep learning on point sets for 3d classification and segmentation;Qi

2. Pointnet++: Deep hierarchical feature learning on point sets in a metric space;Qi;Advances in neural information processing systems

3. Dynamic Graph CNN for Learning on Point Clouds

4. GAPointNet: Graph attention based point neural network for exploiting local feature of point cloud

5. PointCNN: Convolution On $\mathcal{X}$-Transformed Points;Li,2018

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