Svenja Uhlemeyer

According to our database, Svenja Uhlemeyer authored at least 8 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Unsupervised Class Incremental Learning using Empty Classes.

Svenja Uhlemeyer, Julian Lienen, Youssef Shoeb, Eyke Hüllermeier, Hanno Gottschalk

Proceedings of the 35th British Machine Vision Conference Workshop Proceedings, 2024

2023

Unsupervised Open World Recognition in Computer Vision.

Svenja Uhlemeyer

PhD thesis, 2023

Detecting Novelties with Empty Classes.

Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk

CoRR, 2023

Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey.

Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner

Proceedings of the IEEE Intelligent Vehicles Symposium, 2023

2022

Detecting and Learning the Unknown in Semantic Segmentation.

Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk

CoRR, 2022

Towards unsupervised open world semantic segmentation.

Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk

Proceedings of the Uncertainty in Artificial Intelligence, 2022

Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects.

Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.

Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann

Proceedings of the Neural Information Processing Systems Track on Datasets and Benchmarks 1, 2021