2 citations · 2 across the 2 of their papers we have counts for
2 papers
cs.CV2026
AIFIND: Artifact-Aware Interpreting Fine-Grained Alignment for Incremental Face Forgery Detection
Hao Wang, Beichen Zhang, Yanpei Gong +5
As forgery types continue to emerge consistently, Incremental Face Forgery Detection (IFFD) has become a crucial paradigm. However, existing methods typically rely on data replay o…
cs.CV2022★ 2 cited
Unsupervised Wildfire Change Detection based on Contrastive Learning
Beichen Zhang, Huiqi Wang, Amani Alabri +4
The accurate characterization of the severity of the wildfire event strongly contributes to the characterization of the fuel conditions in fire-prone areas, and provides valuable i…