18 citations · 19 across the 3 of their papers we have counts for
3 papers
Spatio-temporal predictive tasks for abnormal event detection in videos
Yassine Naji, Aleksandr Setkov, Angélique Loesch +2
Abnormal event detection in videos is a challenging problem, partly due to the multiplicity of abnormal patterns and the lack of their corresponding annotations. In this paper, we…
Object-centric and memory-guided normality reconstruction for video anomaly detection
Khalil Bergaoui, Yassine Naji, Aleksandr Setkov +3
This paper addresses video anomaly detection problem for videosurveillance. Due to the inherent rarity and heterogeneity of abnormal events, the problem is viewed as a normality mo…
PaDiM: a Patch Distribution Modeling Framework for Anomaly Detection and Localization
Thomas Defard, Aleksandr Setkov, Angelique Loesch +1
We present a new framework for Patch Distribution Modeling, PaDiM, to concurrently detect and localize anomalies in images in a one-class learning setting. PaDiM makes use of a pre…