A Novel Spatial-Temporal Convolutional Neural Network for Remote Photoplethysmography-Reference-Cited by-同舟云学术

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A Novel Spatial-Temporal Convolutional Neural Network for Remote Photoplethysmography

Published:2019-10 Issue: Volume: Page:
ISSN:
Container-title:2019 12th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)
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Author:

Hu Min,Guo Dong,Wang Xiaohua,Ge Peng,Chu Qian

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8955993/8965652/08966034.pdf?arnumber=8966034

Cited by 7 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. Temporal Hierarchical Quick Spatial Attention Mechanism for Heart Rate Measurement;2024 5th International Conference on Computer Vision, Image and Deep Learning (CVIDL);2024-04-19

2. EST-TSANet: Video-Based Remote Heart Rate Measurement Using Temporal Shift Attention Network and ESTmap;IEEE Transactions on Instrumentation and Measurement;2024

3. Real-Time Estimation of Heart Rate in Situations Characterized by Dynamic Illumination using Remote Photoplethysmography;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

4. Camera-based Recovery of Cardiovascular Signals from Unconstrained Face Videos using an Attention Network;2023 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW);2023-06

5. Deep learning-based remote-photoplethysmography measurement from short-time facial video;Physiological Measurement;2022-11-03

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