Co-Communication Graph Convolutional Network for Multi-View Crowd Counting-Reference-Cited by-同舟云学术

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Co-Communication Graph Convolutional Network for Multi-View Crowd Counting

Published:2022 Issue: Volume: Page:1-13
ISSN:1520-9210
Container-title:IEEE Transactions on Multimedia
language:
Short-container-title:IEEE Trans. Multimedia

Author:

Zhai Qiang¹^ORCID,Yang Fan²^ORCID,Li Xin²^ORCID,Xie Guo-Sen³^ORCID,Cheng Hong¹^ORCID,Liu Zicheng⁴^ORCID

Affiliation:

1. Center for Robotics, University of Electronic Science and Technology of China, Chengdu, China

2. AIQ, Abu Dhabi, UAE

3. School of Computer Science and Engineering, Nanjing University of Science and Technology, Nanjing, China

4. Microsoft AI perception & Mixed Reality, Redmond, WA, USA

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Computer Science Applications,Media Technology,Signal Processing

Link

http://xplorestaging.ieee.org/ielx7/6046/4456689/09860092.pdf?arnumber=9860092

Cited by 1 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. CrowdGraph: Weakly supervised Crowd Counting via Pure Graph Neural Network;ACM Transactions on Multimedia Computing, Communications, and Applications;2024-01-22

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