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Lokman Bekit

2 papers indexed

arxivcs.CV2026-06-30

SENSE-VAD: Sentient and Semantic Video Anomaly Detection for Autonomous Driving

Nghia T. Nguyen, Lokman Bekit, Yasin Yilmaz

Autonomous vehicles (AVs) must navigate not only motion-based hazards but also socially complex situations whose danger is constituted by inter-agent relationships rather than movement statistics alone. A child running away from a guardian, a person being carried by another, or a…

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arxivcs.CV2026-06-28

Learning Where and When: Patch-Based Spatiotemporal Localization in Weakly Supervised Video Anomaly Detection

Hamza Karim, Nghia Nguyen, Lokman Bekit, Yasin Yilmaz

Weakly supervised video anomaly detection (WSVAD) has predominantly focused on temporal localization, identifying when anomalies occur while largely neglecting their spatial extent within frames. Yet, spatial localization is essential for interpretability and practical deployment…

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