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Hui Lv

2 accepted papers

2023

Unbiased Multiple Instance Learning for Weakly Supervised Video Anomaly Detection

CVPR 2023poster

Weakly Supervised Video Anomaly Detection (WSVAD) is challenging because the binary anomaly label is only given on the video level, but the output requires snippet-level predictions. So, Multiple Instance Learning (MIL) is prevailing in WSVAD. However, MIL is notoriously known to suffer from many fa…

2021

Learning Normal Dynamics in Videos With Meta Prototype Network

CVPR 2021poster

Frame reconstruction (current or future frames) based on Auto-Encoder (AE) is a popular method for video anomaly detection. With models trained on the normal data, the reconstruction errors of anomalous scenes are usually much larger than those of normal ones. Previous methods introduced the memory…

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