QuickFPS: Architecture and Algorithm Co-Design for Farthest Point Sampling in Large-Scale Point Clouds-Reference-Cited by-同舟云学术

QuickFPS: Architecture and Algorithm Co-Design for Farthest Point Sampling in Large-Scale Point Clouds

Published:2023-11 Issue:11 Volume:42 Page:4011-4024
ISSN:0278-0070
Container-title:IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems
language:
Short-container-title:IEEE Trans. Comput.-Aided Des. Integr. Circuits Syst.

Author:

Han Meng¹^ORCID,Wang Liang¹^ORCID,Xiao Limin¹^ORCID,Zhang Hao¹,Zhang Chenhao¹^ORCID,Xu Xiangrong¹,Zhu Jianfeng²^ORCID

Affiliation:

1. State Key Laboratory of Software Development Environment and the School of Computer Science and Engineering, Beihang University, Beijing, China

2. School of Integrated Circuits, Tsinghua University, Beijing, China

Funder

National Natural Science Foundation of China

State Key Laboratory of Software Development Environment

Iluvatar CoreX Semiconductor Company, Ltd.

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Graphics and Computer-Aided Design,Software

Link

Reference56 articles.

5. LassoNet: Deep lasso-selection of 3D point clouds;chen;IEEE Trans Vis Comput Graphics,2020

Cited by 5 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

2. BitNN: A Bit-Serial Accelerator for K-Nearest Neighbor Search in Point Clouds;2024 ACM/IEEE 51st Annual International Symposium on Computer Architecture (ISCA);2024-06-29