Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain. - Jan-Aike Bolte; Markus Kamp; Antonia Breuer; Silviu Homoceanu; Peter Schlicht; Fabian Hüger; Daniel Lipinski; Tim Fingscheidt (CVPR Workshops, 2019)

Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction. - Antonia Breuer; Sven Elflein; Tim Joseph; Jan-Aike Bolte; Silviu Homoceanu; Tim Fingscheidt (ITSC, 2019)

Towards Corner Case Detection for Autonomous Driving. - Jan-Aike Bolte; Andreas Bär; Daniel Lipinski; Tim Fingscheidt (IV, 2019)

Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance. - Marvin Klingner; Jan-Aike Termöhlen; Jonas Mikolajczyk; Tim Fingscheidt (ECCV (20), 2020)

openDD: A Large-Scale Roundabout Drone Dataset. - Antonia Breuer; Jan-Aike Termöhlen; Silviu Homoceanu; Tim Fingscheidt (ITSC, 2020)

Systematization of Corner Cases for Visual Perception in Automated Driving. - Jasmin Breitenstein; Jan-Aike Termöhlen; Daniel Lipinski; Tim Fingscheidt (IV, 2020)

Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles. - Christopher Plachetka; Niels Maier; Jenny Fricke; Jan-Aike Termöhlen; Tim Fingscheidt (IV, 2020)

Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving. - Antonia Breuer; Quy Le Xuan; Jan-Aike Termöhlen; Silviu Homoceanu; Tim Fingscheidt (ITSC, 2021)

Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer. - Jan-Aike Termöhlen; Marvin Klingner; Leon J. Brettin; Nico M. Schmidt; Tim Fingscheidt (ITSC, 2021)

Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches. - Jasmin Breitenstein; Jan-Aike Termöhlen; Daniel Lipinski; Tim Fingscheidt (CoRR, 2021)

On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models. - Marvin Klingner; Konstantin Müller; Mona Mirzaie; Jasmin Breitenstein; Jan-Aike Termöhlen; Tim Fingscheidt (CVPR Workshops, 2022)

Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations. - Marvin Klingner; Jan-Aike Termöhlen; Jacob Ritterbach; Tim Fingscheidt (WACV (Workshops), 2022)

Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network. - Bile Peng; Jan-Aike Termöhlen; Cong Sun 002; Danping He; Ke Guan; Tim Fingscheidt; Eduard A. Jorswieck (CoRR, 2022)

A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation. - Jan-Aike Termöhlen; Timo Bartels; Tim Fingscheidt (ICCV (Workshops), 2023)

Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving. - Manuel Schwonberg; Joshua Niemeijer; Jan-Aike Termöhlen; Jörg P. Schäfer; Nico M. Schmidt; Hanno Gottschalk; Tim Fingscheidt (IEEE Access, 2023)

Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation. - Joshua Niemeijer; Manuel Schwonberg; Jan-Aike Termöhlen; Nico M. Schmidt; Tim Fingscheidt (WACV, 2024)