Svenja Uhlemeyer

12 papers A 1C 1Journal 6Unranked 3
YearRankTypeTitle / Venue / Authors
2024 — conf
Unsupervised Class Incremental Learning using Empty Classes.
BMVC Workshops
Svenja Uhlemeyer, Julian Lienen, Youssef Shoeb, Eyke Hüllermeier, Hanno Gottschalk
2023 J jnl
Detecting Novelties with Empty Classes.
CoRR
Svenja Uhlemeyer, Julian Lienen, Eyke Hüllermeier, Hanno Gottschalk
2023 C conf
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey.
IV
Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner
2023 J jnl
Perception Datasets for Anomaly Detection in Autonomous Driving: A Survey.
CoRR
Daniel Bogdoll, Svenja Uhlemeyer, Kamil Kowol, J. Marius Zöllner
2023 — —
Unsupervised Open World Recognition in Computer Vision.
Svenja Uhlemeyer
2022 J jnl
Detecting and Learning the Unknown in Semantic Segmentation.
CoRR
Robin Chan, Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022 J jnl
Towards Unsupervised Open World Semantic Segmentation.
CoRR
Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022 A conf
Towards unsupervised open world semantic segmentation.
UAI
Svenja Uhlemeyer, Matthias Rottmann, Hanno Gottschalk
2022 — conf
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects.
ACCV (5)
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
2022 J jnl
Two Video Data Sets for Tracking and Retrieval of Out of Distribution Objects.
CoRR
Kira Maag, Robin Chan, Svenja Uhlemeyer, Kamil Kowol, Hanno Gottschalk
2021 — conf
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.
NeurIPS Datasets and Benchmarks
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Pascal Fua, Mathieu Salzmann, Matthias Rottmann
2021 J jnl
SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation.
CoRR
Robin Chan, Krzysztof Lis, Svenja Uhlemeyer, Hermann Blum, Sina Honari, Roland Siegwart, Mathieu Salzmann, Pascal Fua, Matthias Rottmann