A Closer Look at Geometric Temporal Dynamics for Face Anti-S…
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- DOI 10.1109/cvprw59228.2023.00115
- OpenAlex ID W4385800904
- Type Conference-paper
- Language EN
- Published 01 Jun 2023
- Pages 1081–1091
- Source IEEE/CVF Conference on Computer Vision a…
- FWCI 1.66
- Countries 2
- Institutions 3
- Added 15 Aug 2023
- Updated 29 Oct 2026
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A Closer Look at Geometric Temporal Dynamics for Face Anti-Spoofing
Conference-paper 2023 EN Green
Face anti-spoofing (FAS) is indispensable for a face recognition system. Many texture-driven countermeasures were developed against presentation attacks (PAs), but the performance against unseen domains or unseen spoofing types is still unsatisfactory. Instead of exhaustively collecting all the spoofing variations and making binary decisions of live/spoof, we offer a new perspective on the FAS tas…
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1.66
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7 authors| # | Author | Institutions | ORCID |
|---|---|---|---|
| 1 | Chih-Jung Chang | Microsoft (United States) (US) Stanford University (US) | — |
| 2 | Yaw-Chern Lee | Microsoft (United States) (US) | — |
| 3 | Shih-Hsuan Yao | Microsoft (United States) (US) | — |
| 4 | Min-Hung Chen | Microsoft (United States) (US) | |
| 5 | Chien-Yi Wang | Microsoft (United States) (US) | |
| 6 | Shang‐Hong Lai | Microsoft (United States) (US) National Tsing Hua University (TW) | |
| 7 | Trista Pei-Chun Chen | Microsoft (United States) (US) | — |
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