RF-based Multi-view Pose Machine for Multi-Person 3D Pose Estimation-Reference-Cited by-同舟云学术

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RF-based Multi-view Pose Machine for Multi-Person 3D Pose Estimation

Published:2023-07 Issue: Volume: Page:
ISSN:
Container-title:2023 IEEE International Conference on Multimedia and Expo (ICME)
language:
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Author:

Xie Chunyang¹,Zhang Dongheng²,Wu Zhi²,Yu Cong¹,Hu Yang³,Sun Qibin²,Chen Yan²

Affiliation:

1. University of Electronic Science and Technology of China,School of Information and Communication Engineering

2. University of Science and Technology of China,School of Cyber Science and Technology

3. University of Science and Technology of China,School of Information Science and Technology

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10219544/10219545/10219927.pdf?arnumber=10219927

Reference13 articles.

1. Deep High-Resolution Representation Learning for Human Pose Estimation

2. Accurate Human Pose Estimation using RF Signals

3. mm-Pose: Real-Time Human Skeletal Posture Estimation Using mmWave Radars and CNNs

4. RF-based 3D skeletons

5. Mtrack: Tracking multi-person moving trajectories and vital signs with radio signals;zhang;IoTJ,2020

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. MDST: 2-D Human Pose Estimation for SISO UWB Radar Based on Micro-Doppler Signature via Cascade and Parallel Swin Transformer;IEEE Sensors Journal;2024-07-01

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