Jan-Aike Termöhlen
Orcid: 0009-0001-0960-6848Affiliations:
- Technische Universitä Braunschweig, Institute for Communications Technology, Germany
According to our database1,
Jan-Aike Termöhlen
authored at least 16 papers
between 2019 and 2024.
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Bibliography
2024
Generalization by Adaptation: Diffusion-Based Domain Extension for Domain-Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024
2023
Survey on Unsupervised Domain Adaptation for Semantic Segmentation for Visual Perception in Automated Driving.
IEEE Access, 2023
A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
2022
Reconfigurable Intelligent Surface Enabled Spatial Multiplexing with Fully Convolutional Network.
CoRR, 2022
Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2022
On the Choice of Data for Efficient Training and Validation of End-to-End Driving Models.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2022
2021
Corner Cases for Visual Perception in Automated Driving: Some Guidance on Detection Approaches.
CoRR, 2021
Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
Quo Vadis? Meaningful Multiple Trajectory Hypotheses Prediction in Autonomous Driving.
Proceedings of the 24th IEEE International Intelligent Transportation Systems Conference, 2021
2020
Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles.
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the IEEE Intelligent Vehicles Symposium, 2020
Proceedings of the 23rd IEEE International Conference on Intelligent Transportation Systems, 2020
Self-supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance.
Proceedings of the Computer Vision - ECCV 2020, 2020
2019
Proceedings of the 2019 IEEE Intelligent Vehicles Symposium, 2019
Analysis of the Effect of Various Input Representations for LSTM-Based Trajectory Prediction.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019
Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019