Yi-Fan Jiang

D AMPED G AUSS –N EWTON S EARCH

Variational Template Matching with Statistical Fusion for Anomaly Detection in Patterned Structures

Anomaly detection in structured images is challenging in small-data settings where deep learning approaches are costly or impractical. Classical template matching is simple and interpretable but lacks robustness to geometric variations such as scale, rotation, and perspective. We propose a variational template matching...

AFFORDANCE20Q: Evaluating Affordance Reasoning from Physical Properties

KB-Anchored Rule Induction (KARI), a pipeline based on LLMs that generates affordance rules grounded in evidence from knowledge bases (KBs), is developed, which improves open-source LLMs by up to 15.2 points, while the limited coverage of KBs hinders further gains.