Facial Action Unit Detection with the Semantic Prompt
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Work Details
- DOI 10.1109/icme57554.2024.10687446
- OpenAlex ID W4402979801
- Type Conference-paper
- Language EN
- Published 15 Jul 2024
- Pages 1–6
- Source IEEE International Conference on Multime…
- FWCI 0.21
- Countries 1
- Institutions 3
- Added 01 Oct 2024
- Updated 29 Oct 2026
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Facial Action Unit Detection with the Semantic Prompt
Conference-paper 2024 EN
Facial action unit (AU) detection is an essential technique for fine-grained facial expression analysis. To improve the detection performance, the associations among different action units within the detection network should be exploited. In light of this, we propose to exploit the semantic corrections between AUs and improve the detection accuracy via a novel AU prompt framework. Specifically, we…
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Authors & Affiliations
5 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Chenyue Liang | Chinese Academy of Sciences (CN) Institute of Computing Technol… (CN) | |
| 2 | Jiabei Zeng | Chinese Academy of Sciences (CN) Institute of Computing Technol… (CN) | |
| 3 | Mingjie He | Chinese Academy of Sciences (CN) Institute of Computing Technol… (CN) | |
| 4 | Dongmei Jiang | Peng Cheng Laboratory (CN) | |
| 5 | Shiguang Shan | Chinese Academy of Sciences (CN) Institute of Computing Technol… (CN) |
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