3 papers
cs.CV2026
Multi-AD: Cross-Domain Unsupervised Anomaly Detection for Medical and Industrial Applications
Wahyu Rahmaniar, Kenji Suzuki
Traditional deep learning models often lack annotated data, especially in cross-domain applications such as anomaly detection, which is critical for early disease diagnosis in medi…
cs.CV2025
FaceCrafter: Identity-Conditional Diffusion with Disentangled Control over Facial Pose, Expression, and Emotion
Kazuaki Mishima, Antoni Bigata Casademunt, Stavros Petridis +2
Human facial images encode a rich spectrum of information, encompassing both stable identity-related traits and mutable attributes such as pose, expression, and emotion. While rece…
cs.CV2025
VariFace: Fair and Diverse Synthetic Dataset Generation for Face Recognition
Michael Yeung, Toya Teramoto, Songtao Wu +3
The use of large-scale, web-scraped datasets to train face recognition models has raised significant privacy and bias concerns. Synthetic methods mitigate these concerns and provid…