Cross-domain AU Detection: Domains, Learning Approaches, and Measures-Reference-Cited by-同舟云学术

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Cross-domain AU Detection: Domains, Learning Approaches, and Measures

Published:2019-05 Issue: Volume: Page:
ISSN:
Container-title:2019 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019)
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Author:

Ertugrul Itir Onal,Cohn Jeffrey F.,Jeni Laszlo A.,Zhang Zheng,Yin Lijun,Ji Qiang

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/8753205/8756505/08756543.pdf?arnumber=8756543

Cited by 19 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. Automated facial expression measurement in a longitudinal sample of 4- and 8-month-olds: Baby FaceReader 9 and manual coding of affective expressions;Behavior Research Methods;2024-01-25

2. FG-Net: Facial Action Unit Detection with Generalizable Pyramidal Features;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

3. PyAFAR: Python-based Automated Facial Action Recognition library for use in Infants and Adults;2023 11th International Conference on Affective Computing and Intelligent Interaction Workshops and Demos (ACIIW);2023-09-10

4. Automated Emotional Valence Estimation in Infants with Stochastic and Strided Temporal Sampling;2023 11th International Conference on Affective Computing and Intelligent Interaction (ACII);2023-09-10

5. Automated measurement of infant and mother Duchenne facial expressions in the Face‐to‐Face/Still‐Face;Infancy;2023-07-19

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