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Lei-Lei Ma

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2026

Reconstructive Visual Tuning for Weakly Supervised Video Anomaly Detection

Weakly supervised video anomaly detection (WS-VAD) presents a significant challenge in security video surveillance, as it aims to accurately identify anomaly frames in untrimmed videos with only video-level supervision. Several recent studies exploit vision-language pre-training models, e.g., CLIP, to take advantage of...

Shuang-Qing Zhang, Wei Xu, Yu-Qi Fang et al. · 2 citations
Open access Jul 2026

Visual–Label Alignment and Attribute-Aware Prompt for Multi-Label Image Recognition with Partial Labels

A novel MLIR-PL model with Visual–Label Alignment and Attribute-Aware Prompt and Attribute-Aware Prompt, which sufficiently harnesses the capabilities of large-scale pre-trained vision-language models is proposed, achieving the best performance comprehensively.

Dengdi Sun, Hongxing Xie, Zhenbin Cai et al. · 0 citations

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