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Jan-Aike Termöhlen
ORCID
Publication Activity (10 Years)
Years Active: 2020-2024
Publications (10 Years): 20
Top Topics
Semantic Segmentation
Top Venues
CoRR
ITSC
IV
ECCV (20)
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Publications
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Joshua Niemeijer
,
Manuel Schwonberg
,
Jan-Aike Termöhlen
,
Nico M. Schmidt
,
Tim Fingscheidt
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.
WACV
(2024)
Jan-Aike Termöhlen
,
Timo Bartels
,
Tim Fingscheidt
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation.
ICCV (Workshops)
(2023)
Jan-Aike Termöhlen
,
Timo Bartels
,
Tim Fingscheidt
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation.
CoRR
(2023)
Manuel Schwonberg
,
Joshua Niemeijer
,
Jan-Aike Termöhlen
,
Jörg P. Schäfer
,
Nico M. Schmidt
,
Hanno Gottschalk
,
Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.
CoRR
(2023)
Manuel Schwonberg
,
Joshua Niemeijer
,
Jan-Aike Termöhlen
,
Jörg P. Schäfer
,
Nico M. Schmidt
,
Hanno Gottschalk
,
Tim Fingscheidt
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.
IEEE Access
11 (2023)
Joshua Niemeijer
,
Manuel Schwonberg
,
Jan-Aike Termöhlen
,
Nico M. Schmidt
,
Tim Fingscheidt
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.
CoRR
(2023)
Marvin Klingner
,
Jan-Aike Termöhlen
,
Jacob Ritterbach
,
Tim Fingscheidt
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations.
WACV (Workshops)
(2022)
Marvin Klingner
,
Konstantin Müller
,
Mona Mirzaie
,
Jasmin Breitenstein
,
Jan-Aike Termöhlen
,
Tim Fingscheidt
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models.
CoRR
(2022)
Bile Peng
,
Jan-Aike Termöhlen
,
Cong Sun
,
Danping He
,
Ke Guan
,
Tim Fingscheidt
,
Eduard A. Jorswieck
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network.
CoRR
(2022)
Marvin Klingner
,
Konstantin Müller
,
Mona Mirzaie
,
Jasmin Breitenstein
,
Jan-Aike Termöhlen
,
Tim Fingscheidt
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models.
CVPR Workshops
(2022)
Antonia Breuer
,
Quy Le Xuan
,
Jan-Aike Termöhlen
,
Silviu Homoceanu
,
Tim Fingscheidt
Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving.
ITSC
(2021)
Jan-Aike Termöhlen
,
Marvin Klingner
,
Leon J. Brettin
,
Nico M. Schmidt
,
Tim Fingscheidt
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer.
ITSC
(2021)
Jasmin Breitenstein
,
Jan-Aike Termöhlen
,
Daniel Lipinski
,
Tim Fingscheidt
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches.
CoRR
(2021)
Marvin Klingner
,
Jan-Aike Termöhlen
,
Jonas Mikolajczyk
,
Tim Fingscheidt
Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance.
ECCV (20)
(2020)
Antonia Breuer
,
Jan-Aike Termöhlen
,
Silviu Homoceanu
,
Tim Fingscheidt
openDD: A Large-Scale Roundabout Drone Dataset.
ITSC
(2020)
Jasmin Breitenstein
,
Jan-Aike Termöhlen
,
Daniel Lipinski
,
Tim Fingscheidt
Systematization of Corner Cases for Visual Perception in Automated Driving.
IV
(2020)
Christopher Plachetka
,
Niels Maier
,
Jenny Fricke
,
Jan-Aike Termöhlen
,
Tim Fingscheidt
Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles.
IV
(2020)
Marvin Klingner
,
Jan-Aike Termöhlen
,
Jacob Ritterbach
,
Tim Fingscheidt
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations.
CoRR
(2020)
Antonia Breuer
,
Jan-Aike Termöhlen
,
Silviu Homoceanu
,
Tim Fingscheidt
openDD: A Large-Scale Roundabout Drone Dataset.
CoRR
(2020)
Marvin Klingner
,
Jan-Aike Termöhlen
,
Jonas Mikolajczyk
,
Tim Fingscheidt
Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance.
CoRR
(2020)