Alexandra Branzan Albu — accepted AI-conference papers

2024

"Unsupervised, Online and On-The-Fly Anomaly Detection For Non-Stationary Image Distributions"

Declan GD McIntosh*, Alexandra Branzan Albu

ECCV 2024poster

"We propose Online-InReaCh, the first fully unsupervised online method for detecting and localizing anomalies on-the-fly in image sequences while following non-stationary distributions. Previous anomaly detection methods are limited to supervised one-class classification or are unsupervised but stil…

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2023

Inter-Realization Channels: Unsupervised Anomaly Detection Beyond One-Class Classification

Declan McIntosh, Alexandra Branzan Albu

ICCV 2023poster

Unsupervised anomaly detection and localization in images is a challenging problem, leading previous methods to attempt an easier supervised one-class classification formalization. Assuming training images to be realizations of the underlying image distribution, it follows that nominal patches from…

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