Point Cloud Acceleration by Exploiting Geometric Similarity-Reference-Cited by-同舟云学术

Point Cloud Acceleration by Exploiting Geometric Similarity

Published:2023-10-28 Issue: Volume: Page:
ISSN:
Container-title:56th Annual IEEE/ACM International Symposium on Microarchitecture
language:
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Author:

Chen Cen¹^ORCID,Zou Xiaofeng²^ORCID,Shao Hongen²^ORCID,Li Yangfan³^ORCID,Li Kenli⁴^ORCID

Affiliation:

1. South China University of Technology, South China University of Technology, Guangzhou, Guangdong, China, China and Pazhou Lab, Guangzhou, Guangdong, China, China

2. South China University of Technology, South China University of Technology, Guangzhou, Guangdong, China, China

3. Central South University, Central South University, Changsha, Hunan, China, China

4. Hunan University, College of Information Science and Engineering, National Supercomputing Center in Changsha, Hunan University, China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3613424.3614290

Reference51 articles.

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3. ReGNN: A Redundancy-Eliminated Graph Neural Networks Accelerator

4. DyGNN: Algorithm and Architecture Support of Dynamic Pruning for Graph Neural Networks

5. 3D Point Cloud Processing and Learning for Autonomous Driving: Impacting Map Creation, Localization, and Perception

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