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Qingsheng Wang

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
2023

Learning Conditional Attributes for Compositional Zero-Shot Learning

CVPR 2023poster

Compositional Zero-Shot Learning (CZSL) aims to train models to recognize novel compositional concepts based on learned concepts such as attribute-object combinations. One of the challenges is to model attributes interacted with different objects, e.g., the attribute "wet" in "wet apple" and "wet ca…