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cs.CV2026
Anomaly-Guided Observation and Two-Level Semantic Feedback for Training-Free Video Anomaly Analysis
Hangil Park, Seungheon Kim, Tae-Kyun Kim
Training-free language-based video anomaly detection (VAD) uses frozen vision--language models (VLMs) and large language models (LLMs) to localize abnormal events without task-spec…
cs.CV2026
Learning Temporal Evidence Selection for Video Anomaly Understanding
Hangil Park, Seungheon Kim, Tae-Kyun Kim
Video anomaly understanding (VAU) aims to generate language-level interpretations of anomalous events in long videos, requiring visual evidence that supports explanation beyond ano…