KHFA: Knowledge-Driven Hierarchical Feature Alignment Framew…
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- DOI 10.1109/tim.2024.3419103
- OpenAlex ID W4400033815
- Type Article
- Language EN
- Published 01 Jan 2024
- Volume 73
- Pages 1–14
- Source IEEE Transactions on Instrumentation and…
- Publisher Institute of Electrical and Electro…
- FWCI 0.56
- Countries 1
- Institutions 1
- Added 27 Jun 2024
- Updated 26 Sep 2026
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KHFA: Knowledge-Driven Hierarchical Feature Alignment Framework for Subject-Invariant Facial Action Unit Detection
Article 2024 EN
Facial action unit (AU) detection constitutes precise measurements for facial appearance variances, holding great significance within the realms of affective computing, human–computer interaction, and negotiation. Subject-invariant AU detection remains a challenge primarily due to the distribution variations among individuals. More importantly, the inherent subtlety and localized nature of facial…
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5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Huijuan Zhao | Huazhong University of Science… (CN) | |
| 2 | Shuangjiang He | Huazhong University of Science… (CN) | |
| 3 | Congju Du | Huazhong University of Science… (CN) | |
| 4 | Linyun Liu | Huazhong University of Science… (CN) | |
| 5 | Li Chen Yu | Huazhong University of Science… (CN) |
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