| Self-Supervised Monocular Depth Estimation: Solving the Dynamic Object Problem by Semantic Guidance M Klingner, JA Termöhlen, J Mikolajczyk, T Fingscheidt Computer Vision–ECCV 2020: 16th European Conference, Glasgow, UK, August 23 …, 2020 | 376 | 2020 |
| Towards Corner Case Detection for Autonomous Driving JA Bolte, A Bär, D Lipinski, T Fingscheidt 2019 IEEE Intelligent Vehicles Symposium (IV), 438-445, 2019 | 137 | 2019 |
| Systematization of Corner Cases for Visual Perception in Automated Driving J Breitenstein, JA Termöhlen, D Lipinski, T Fingscheidt | 68 | 2020 |
| openDD: A large-scale roundabout drone dataset A Breuer, JA Termöhlen, S Homoceanu, T Fingscheidt 2020 IEEE 23rd International Conference on Intelligent Transportation …, 2020 | 61 | 2020 |
| Unsupervised Domain Adaptation to Improve Image Segmentation Quality Both in the Source and Target Domain JA Bolte, M Kamp, A Breuer, S Homoceanu, P Schlicht, F Huger, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 58 | 2019 |
| Unsupervised BatchNorm Adaptation (UBNA): A Domain Adaptation Method for Semantic Segmentation Without Using Source Domain Representations M Klingner, JA Termöhlen, J Ritterbach, T Fingscheidt Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 48 | 2022 |
| Corner cases for visual perception in automated driving: some guidance on detection approaches J Breitenstein, JA Termöhlen, D Lipinski, T Fingscheidt arXiv preprint arXiv:2102.05897, 2021 | 42 | 2021 |
| Survey on unsupervised domain adaptation for semantic segmentation for visual perception in automated driving M Schwonberg, J Niemeijer, JA Termöhlen, NM Schmidt, H Gottschalk, ... IEEE Access 11, 54296-54336, 2023 | 30 | 2023 |
| Analysis of the effect of various input representations for LSTM-based trajectory prediction A Breuer, S Elflein, T Joseph, JA Bolte, S Homoceanu, T Fingscheidt 2019 IEEE Intelligent Transportation Systems Conference (ITSC), 2728-2735, 2019 | 25 | 2019 |
| Continual Unsupervised Domain Adaptation for Semantic Segmentation by Online Frequency Domain Style Transfer JA Termöhlen, M Klingner, LJ Brettin, NM Schmidt, T Fingscheidt 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 22 | 2021 |
| Generalization by adaptation: Diffusion-based domain extension for domain-generalized semantic segmentation J Niemeijer, M Schwonberg, JA Termöhlen, NM Schmidt, T Fingscheidt Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 18 | 2024 |
| Terminology and Analysis of Map Deviations in Urban Domains: Towards Dependability for HD Maps in Automated Vehicles C Plachetka, N Maier, J Fricke, JA Termöhlen, T Fingscheidt 2020 IEEE Intelligent Vehicles Symposium (IV), 63-70, 0 | 15* | |
| A Re-Parameterized Vision Transformer (ReVT) for Domain-Generalized Semantic Segmentation JA Termöhlen, T Bartels, T Fingscheidt Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 7 | 2023 |
| On the choice of data for efficient training and validation of end-to-end driving models M Klingner, K Müller, M Mirzaie, J Breitenstein, JA Termöhlen, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 6 | 2022 |
| Quo vadis? meaningful multiple trajectory hypotheses prediction in autonomous driving A Breuer, Q Le Xuan, JA Termöhlen, S Homoceanu, T Fingscheidt 2021 IEEE International Intelligent Transportation Systems Conference (ITSC …, 2021 | 5 | 2021 |
| Reconfigurable intelligent surface enabled spatial multiplexing with fully convolutional network B Peng, JA Termöhlen, C Sun, D He, K Guan, T Fingscheidt, ... arXiv preprint arXiv:2201.02834, 2022 | 3 | 2022 |
| Domain Generalization and (Continuous) Unsupervised Domain Adaptation JA Termöhlen, T Fingscheidt target 1005, 49.6, 0 | | |
Tim FingscheidtProfessor, IEEE Fellow, ITG Fellow, Technische Universität Braunschweig, Germanytu-bs.de의 이메일 확인됨