Learning of 3D Graph Convolution Networks for Point Cloud Analysis-Reference-Cited by-同舟云学术

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Learning of 3D Graph Convolution Networks for Point Cloud Analysis

Published:2021 Issue: Volume: Page:1-1
ISSN:0162-8828
Container-title:IEEE Transactions on Pattern Analysis and Machine Intelligence
language:
Short-container-title:IEEE Trans. Pattern Anal. Mach. Intell.

Author:

Lin Zhi-Hao,Huang Sheng Yu,Wang Yu-Chiang Frank

Funder

Ministry of Science and Technology, Taiwan

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Applied Mathematics,Artificial Intelligence,Computational Theory and Mathematics,Computer Vision and Pattern Recognition,Software

Link

http://xplorestaging.ieee.org/ielx7/34/4359286/09355025.pdf?arnumber=9355025

Cited by 38 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A novel Complementary Dual-aware Network for point cloud classification;Engineering Applications of Artificial Intelligence;2024-11

2. Generative Variational-Contrastive Learning for Self-Supervised Point Cloud Representation;IEEE Transactions on Pattern Analysis and Machine Intelligence;2024-09

3. A morphology-Euclidean-linear recognition method for rebar point clouds of highway tunnel linings during the construction phase;Engineering, Construction and Architectural Management;2024-08-14

4. Graph Neural Networks in Point Clouds: A Survey;Remote Sensing;2024-07-09

5. PointMLFF: Robust Point Cloud Analysis Based on Multi-Level Feature Fusion;2024 International Joint Conference on Neural Networks (IJCNN);2024-06-30

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