Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes-Reference-Cited by-同舟云学术

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Selective Element and Two Orders Vectorization Networks for Automatic Depression Severity Diagnosis via Facial Changes

Published:2022-11 Issue:11 Volume:32 Page:8065-8077
ISSN:1051-8215
Container-title:IEEE Transactions on Circuits and Systems for Video Technology
language:
Short-container-title:IEEE Trans. Circuits Syst. Video Technol.

Author:

Niu Mingyue¹^ORCID,Zhao Ziping¹,Tao Jianhua²,Li Ya³,Schuller Bjorn W.⁴^ORCID

Affiliation:

1. School of Computer and Information Engineering, Tianjin Normal University (TJNU), Tianjin, China

2. National Laboratory of Pattern Recognition (NLPR), Institute of Automation, Chinese Academy of Sciences (CASIA), Bejing, China

3. School of Artificial Intelligence, Beijing University of Posts and Telecommunications, Beijing, China

4. ZD.B Chair of Embedded Intelligence for Health Care and Wellbeing, University of Augsburg, Augsburg, Germany

Funder

Open Project Program of the National Laboratory of Pattern Recognition

National Natural Science Foundation of China

New Talent Project of Beijing University of Posts and Telecommunications

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Electrical and Electronic Engineering,Media Technology

Link

http://xplorestaging.ieee.org/ielx7/76/9931687/09795076.pdf?arnumber=9795076

Cited by 11 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. LSCAformer: Long and short-term cross-attention-aware transformer for depression recognition from video sequences;Biomedical Signal Processing and Control;2024-12

2. Depressformer: Leveraging Video Swin Transformer and fine-grained local features for depression scale estimation;Biomedical Signal Processing and Control;2024-10

3. PointTransform Networks for automatic depression level prediction via facial keypoints;Knowledge-Based Systems;2024-08

4. Deep learning on medical image analysis;CAAI Transactions on Intelligence Technology;2024-06-24

5. Deep Learning-Based Depression Recognition Through Facial Expression: A Systematic Review;2024

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