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cs.CV2025
Distilling Aggregated Knowledge for Weakly-Supervised Video Anomaly Detection
Jash Dalvi, Ali Dabouei, Gunjan Dhanuka +1
Video anomaly detection aims to develop automated models capable of identifying abnormal events in surveillance videos. The benchmark setup for this task is extremely challenging d…
cs.CV2024
Cross-Domain Learning for Video Anomaly Detection with Limited Supervision
Yashika Jain, Ali Dabouei, Min Xu
Video Anomaly Detection (VAD) automates the identification of unusual events, such as security threats in surveillance videos. In real-world applications, VAD models must effective…
cs.CV2024
Hyperspherical Classification with Dynamic Label-to-Prototype Assignment
Mohammad Saeed Ebrahimi Saadabadi, Ali Dabouei, Sahar Rahimi Malakshan +1
Aiming to enhance the utilization of metric space by the parametric softmax classifier, recent studies suggest replacing it with a non-parametric alternative. Although a non-parame…