2 papers
cs.CV2026
Uncovering What, Why and How: A Comprehensive Benchmark for Causation Understanding of Video Anomaly
Hang Du, Sicheng Zhang, Binzhu Xie +16
Video anomaly understanding (VAU) aims to automatically comprehend unusual occurrences in videos, thereby enabling various applications such as traffic surveillance and industrial…
cs.CR2025
3D-IDS: Doubly Disentangled Dynamic Intrusion Detection
Chenyang Qiu, Yingsheng Geng, Junrui Lu +8
Network-based intrusion detection system (NIDS) monitors network traffic for malicious activities, forming the frontline defense against increasing attacks over information infrast…