10 citations · 12 across the 2 of their papers we have counts for
3 papers
cs.CV2020★ 2 cited
Cross-ethnicity Face Anti-spoofing Recognition Challenge: A Review
Ajian Liu, Xuan Li, Jun Wan +12
Face anti-spoofing is critical to prevent face recognition systems from a security breach. The biometrics community has %possessed achieved impressive progress recently due the exc…
cs.CV2020
CASIA-SURF CeFA: A Benchmark for Multi-modal Cross-ethnicity Face Anti-spoofing
Ajian Li, Zichang Tan, Xuan Li +4
Ethnic bias has proven to negatively affect the performance of face recognition systems, and it remains an open research problem in face anti-spoofing. In order to study the ethnic…
cs.CV2019★ 10 cited
Static and Dynamic Fusion for Multi-modal Cross-ethnicity Face Anti-spoofing
Ajian Liu, Zichang Tan, Xuan Li +4
Regardless of the usage of deep learning and handcrafted methods, the dynamic information from videos and the effect of cross-ethnicity are rarely considered in face anti-spoofing.…