CrossGAP: Unified Face Anti-Spoofing via Cross-Modal Global-…
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- DOI 10.1109/iccvw69036.2025.00339
- OpenAlex ID W7131118007
- Type Conference-paper
- Language EN
- Published 19 Oct 2025
- Pages 3239–3246
- Source IEEE International Conference on Compute…
- FWCI 4.23
- Countries 2
- Institutions 3
- Added 24 Feb 2026
- Updated 28 Oct 2026
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CrossGAP: Unified Face Anti-Spoofing via Cross-Modal Global-Aware Prompting
Conference-paper 2025 EN
Facial recognition systems remain vulnerable to both physical (e.g., printed photos) and digital (e.g., deep-fakes, face swaps) presentation attacks. Existing face antispoofing (FAS) methods struggle to simultaneously detect these attack types due to: (1) substantial divergence in visual characteristics, and (2) difficulties in learning unified cross-modal representations. To overcome these limita…
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4.23
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Authors & Affiliations
6 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Xihong Chen | Beijing Jiaotong University (CN) | |
| 2 | Yutong Xie | Beijing Jiaotong University (CN) | |
| 3 | Hui Ma | Macau University of Science an… (MO) | |
| 4 | Ning Li | Macau University of Science an… (MO) | |
| 5 | Yanyan Liang | Hefei University of Technology (CN) | |
| 6 | Jiabao Guo | Hefei University of Technology (CN) |
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