Learning facial action units with spatiotemporal cues and multi-label sampling-Reference-Cited by-同舟云学术

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Learning facial action units with spatiotemporal cues and multi-label sampling

Published:2019-01 Issue: Volume:81 Page:1-14
ISSN:0262-8856
Container-title:Image and Vision Computing
language:en
Short-container-title:Image and Vision Computing

Author:

Chu Wen-Sheng^ORCID,Torre Fernando De la,Cohn Jeffrey F.

Funder

National Institutes of Health

Division of Computer and Network Systems

Publisher

Elsevier BV

Subject

Computer Vision and Pattern Recognition,Signal Processing

Reference56 articles.

1. Facial action coding system;Ekman,2002

2. What the Face Reveals;Ekman,2005

3. Automated face analysis for affective;Cohn,2014

4. Selective transfer machine for personalized facial action unit detection;Chu,2013

5. We are not all equal: personalizing models for facial expression analysis with transductive parameter transfer;Sangineto,2014

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1. Facial Expression Manipulation for Personalized Facial Action Estimation;Frontiers in Signal Processing;2022-04-27

2. Facial Expression Modeling and Synthesis for Patient Simulator Systems: Past, Present, and Future;ACM Transactions on Computing for Healthcare;2022-03-03

3. Spatiotemporal Features and Local Relationship Learning for Facial Action Unit Intensity Regression;2021 IEEE International Conference on Image Processing (ICIP);2021-09-19

4. Facial action unit detection methodology with application in Brazilian sign language recognition;Pattern Analysis and Applications;2021-09-04

5. Systematic Evaluation of Design Choices for Deep Facial Action Coding Across Pose;Frontiers in Computer Science;2021-04-29

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