3 papers
cs.CV2025
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…
cs.CV2025
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…
cs.LG2025
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…