| Mt3: Meta test-time training for self-supervised test-time adaption A Bartler, A Bühler, F Wiewel, M Döbler, B Yang International Conference on Artificial Intelligence and Statistics, 3080-3090, 2022 | 54 | 2022 |
| Robust mean teacher for continual and gradual test-time adaptation M Döbler, RA Marsden, B Yang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 48 | 2023 |
| Contrastive learning and self-training for unsupervised domain adaptation in semantic segmentation RA Marsden, A Bartler, M Döbler, B Yang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 20 | 2022 |
| Continual unsupervised domain adaptation for semantic segmentation using a class-specific transfer RA Marsden, F Wiewel, M Döbler, Y Yang, B Yang 2022 International Joint Conference on Neural Networks (IJCNN), 1-8, 2022 | 13 | 2022 |
| Gradual Test-Time Adaptation by Self-Training and Style Transfer RA Marsden, M Döbler, B Yang arXiv preprint arXiv:2208.07736, 2022 | 10 | 2022 |
| Universal test-time adaptation through weight ensembling, diversity weighting, and prior correction RA Marsden, M Döbler, B Yang Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 4 | 2024 |
| Introducing Intermediate Domains for Effective Self-Training during Test-Time RA Marsden, M Döbler, B Yang arXiv preprint arXiv:2208.07736, 2022 | 3 | 2022 |
| An unsupervised domain adaptive approach for multimodal 2d object detection in adverse weather conditions G Eskandar, RA Marsden, P Pandiyan, M Döbler, K Guirguis, B Yang 2022 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2022 | 3 | 2022 |
| Data visualization with python: Create an impact with meaningful data insights using interactive and engaging visuals M Döbler, T Großmann Packt Publishing Ltd, 2019 | 3 | 2019 |
| Calibration-free online test-time adaptation for electroencephalography motor imagery decoding M Wimpff, M Döbler, B Yang 2024 12th International Winter Conference on Brain-Computer Interface (BCI), 1-6, 2024 | 2 | 2024 |
| The Data Visualization Workshop: An Interactive Approach to Learning Data Visualization M Döbler, T Großmann Packt Publishing Ltd, 2020 | 2 | 2020 |
| Diversity-aware Buffer for Coping with Temporally Correlated Data Streams in Online Test-time Adaptation M Döbler, F Marencke, RA Marsden, B Yang arXiv preprint arXiv:2401.00989, 2024 | | 2024 |
| Generation of globally consistent non-confidential MRI data using deep generative adversarial networks K Armanious, M Döbler, B Yang, S Gatidis | | |
Bin YangUniversity of Stuttgart, GermanyVerified email at iss.uni-stuttgart.de
