Zhi-Jie Xu

HTNet-SDGCN: hierarchical transformer with structural-dynamic dual graph convolutional network for micro-expression recognition

Micro-expression recognition (MER) is a fundamental yet challenging task in affective computing due to the subtle, transient, and localized nature of spontaneous facial muscle movements. Although Vision Transformers effectively extract MER features, spatial regions are often processed in isolation, limiting the ability...

A Calibrated Hybrid Edge Framework for Elevator Safety Warning with Statistical Anomaly Detection

This paper presents a calibrated hybrid edge framework for elevator safety warning. The framework combines interpretable safety rules, robust statistical anomaly scoring, one-class anomaly-detection baselines, temporal persistence, and structured event logging on a Raspberry Pi platform. The prototype integrates accele...

CLARiF: clue alignment and retrieval-informed fusion for fine-grained pest recognition

Mamba-Guided Diffusion for Prediction-Based Industrial Video Anomaly Detection

Industrial video anomaly detection must handle more than one failure mode: motion, position, rhythm, and object state may all drift We present MG-DDAD, a prediction-based normal-future anomaly detector built on a re-implementation of the DiffiiMa predictor. Given 16 frames of RGB history, it predicts a gap-4 normal-fut...

DEPT-BT: Learning Parameterized and Revisable Behavior Trees From a Single Demonstration

Learning from Demonstration (LfD) combined with Behavior Trees (BTs) aims to lower the programming burden required to construct robot task programs from demonstrations. However, existing approaches have two structural limitations: skills are bound to specific object instances with no mechanism for runtime rebinding, an...