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Lingru Zhou

2 accepted papers

2026

TargetVAU: Multimodal Anomaly-Aware Reasoning for Target Behavior Understanding in Videos

AAAI 2026technical

Understanding anomalous human behaviors at a fine-grained level remains a major challenge in complex scenarios. Existing video anomaly understanding (VAU) methods often rely on coarse frame-level cues or overlook structured modeling of individual actions, limiting their capacity for reasoning about

Cited by 0SourcePDFScholar
2024

VadCLIP: Adapting Vision-Language Models for Weakly Supervised Video Anomaly Detection

AAAI 2024technical

The recent contrastive language-image pre-training (CLIP) model has shown great success in a wide range of image-level tasks, revealing remarkable ability for learning powerful visual representations with rich semantics. An open and worthwhile problem is efficiently adapting such a strong model to t…