4 citations · 8 across the 4 of their papers we have counts for
5 papers
NFAD: Nuisance-Filtered Anomaly Detection Under Distribution Shift
Dat Cao, Son Nghiem, Phan Nguyen +2
Recent advances in anomaly detection (AD) for industrial inspection have pushed performance on standard benchmarks toward saturation. However, strong benchmark performance does not…
GeoMAD: Geometry-Aware Multi-View Anomaly Detection via Deformable Fusion and Distributional Alignment
Shang-Fu Chen, Jhih-Ciang Wu, Kuan-Chuan Peng +2
Multi-view anomaly detection (MvAD) detects defects by exploiting complementary observations from multiple camera viewpoints. The central challenge is to fuse views with sufficient…
See More, Detect Less? Taming Information Leakage in Multi-View Anomaly Detection
Shang-Fu Chen, Kuan-Chuan Peng, Jhih-Ciang Wu +2
In multi-view anomaly detection, more cross-view information can actually hurt. When multiple inspection views are naively fused in a reconstruction-based pipeline, normal cues fro…
InstructFLIP: Exploring Unified Vision-Language Model for Face Anti-spoofing
Kun-Hsiang Lin, Yu-Wen Tseng, Kang-Yang Huang +2
Face anti-spoofing (FAS) aims to construct a robust system that can withstand diverse attacks. While recent efforts have concentrated mainly on cross-domain generalization, two sig…
ReCorD: Reasoning and Correcting Diffusion for HOI Generation
Jian-Yu Jiang-Lin, Kang-Yang Huang, Ling Lo +5
Diffusion models revolutionize image generation by leveraging natural language to guide the creation of multimedia content. Despite significant advancements in such generative mode…