1 citations · 1 across the 1 of their papers we have counts for
3 papers
Injecting Explainability and Lightweight Design into Weakly Supervised Video Anomaly Detection Systems
Wen-Dong Jiang, Chih-Yung Chang, Hsiang-Chuan Chang +2
Weakly Supervised Monitoring Anomaly Detection (WSMAD) utilizes weak supervision learning to identify anomalies, a critical task for smart city monitoring. However, existing multim…
Explaining the Unexplained: Revealing Hidden Correlations for Better Interpretability
Wen-Dong Jiang, Chih-Yung Chang, Show-Jane Yen +1
Deep learning has achieved remarkable success in processing and managing unstructured data. However, its "black box" nature imposes significant limitations, particularly in sensiti…
A Lightweight Dual-Branch System for Weakly-Supervised Video Anomaly Detection on Consumer Edge Devices
Wen-Dong Jiang, Chih-Yung Chang, Ssu-Chi Kuai +1
The growing demand for intelligent security in consumer electronics, such as smart home cameras and personal monitoring systems, is often hindered by the high computational cost an…