Search Results for author: Emanuela Haller

Found 6 papers, 2 papers with code

Env-Aware Anomaly Detection: Ignore Style Changes, Stay True to Content!

no code implementations6 Oct 2022 Stefan Smeu, Elena Burceanu, Andrei Liviu Nicolicioiu, Emanuela Haller

We introduce a formalization and benchmark for the unsupervised anomaly detection task in the distribution-shift scenario.

Unsupervised Anomaly Detection

AnoShift: A Distribution Shift Benchmark for Unsupervised Anomaly Detection

1 code implementation30 Jun 2022 Marius Dragoi, Elena Burceanu, Emanuela Haller, Andrei Manolache, Florin Brad

Analyzing the distribution shift of data is a growing research direction in nowadays Machine Learning (ML), leading to emerging new benchmarks that focus on providing a suitable scenario for studying the generalization properties of ML models.

Network Intrusion Detection Unsupervised Anomaly Detection

Self-Supervised Learning in Multi-Task Graphs through Iterative Consensus Shift

1 code implementation26 Mar 2021 Emanuela Haller, Elena Burceanu, Marius Leordeanu

The human ability to synchronize the feedback from all their senses inspired recent works in multi-task and multi-modal learning.

Multi-Task Learning Self-Supervised Learning +1

Spacetime Graph Optimization for Video Object Segmentation

no code implementations7 Jul 2019 Emanuela Haller, Adina Magda Florea, Marius Leordeanu

While the actual matrix is not computed explicitly, the proposed algorithm efficiently computes, in a few iteration steps, the principal eigenvector that captures the segmentation of the main object in the video.

Object Discovery Optical Flow Estimation +3

Unsupervised object segmentation in video by efficient selection of highly probable positive features

no code implementations ICCV 2017 Emanuela Haller, Marius Leordeanu

We also present theoretical properties of our unsupervised learning method, that under some mild constraints is guaranteed to learn a correct discriminative classifier even in the unsupervised case.

Semantic Segmentation Unsupervised Object Segmentation

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