4 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…
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…
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…
Detection, Retrieval, and Explanation Unified: A Violence Detection System Based on Knowledge Graphs and GAT
Wen-Dong Jiang, Chih-Yung Chang, Diptendu Sinha Roy
Recently, violence detection systems developed using unified multimodal models have achieved significant success and attracted widespread attention. However, most of these systems…