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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.CV2025
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…