25 citations · 58 across the 14 of their papers we have counts for
3 papers · 1 filter
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…
Object-aware Gaze Target Detection
Francesco Tonini, Nicola Dall'Asen, Cigdem Beyan +1
Gaze target detection aims to predict the image location where the person is looking and the probability that a gaze is out of the scene. Several works have tackled this task by re…
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…