17 citations · 24 across the 6 of their papers we have counts for
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cs.CV2023★ 2 cited
Unsupervised Video Anomaly Detection with Diffusion Models Conditioned on Compact Motion Representations
Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan +1
This paper aims to address the unsupervised video anomaly detection (VAD) problem, which involves classifying each frame in a video as normal or abnormal, without any access to lab…
cs.CV2023★ 5 cited
Exploring Diffusion Models for Unsupervised Video Anomaly Detection
Anil Osman Tur, Nicola Dall'Asen, Cigdem Beyan +1
This paper investigates the performance of diffusion models for video anomaly detection (VAD) within the most challenging but also the most operational scenario in which the data a…