| Language Models for German Text Simplification: Overcoming Parallel Data Scarcity through Style-specific Pre-training M Anschütz, J Oehms, T Wimmer, B Jezierski, G Groh Findings of the Association for Computational Linguistics: ACL 2023, 1147-1158, 2023 | 13 | 2023 |
| Scale-equivariant deep learning for 3D data T Wimmer, V Golkov, HN Dang, M Zaiss, A Maier, D Cremers arXiv preprint arXiv:2304.05864, 2023 | 1 | 2023 |
| Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features T Wimmer, P Wonka, M Ovsjanikov 2024 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024 | | 2024 |
| Joint sequence optimization beats pure neural network approaches for super-resolution TSE HN Dang, V Golkov, J Endres, S Weinmüller, F Glang, T Wimmer, ... ISMRM & ISMRT Annual Meeting & Exhibition 2024, 215, 2024 | | 2024 |
| Joint MR sequence optimization beats pure neural network approaches for spin-echo MRI super-resolution HN Dang, V Golkov, T Wimmer, D Cremers, A Maier, M Zaiss arXiv preprint arXiv:2305.07524, 2023 | | 2023 |
Daniel CremersTechnical University of MunichVerified email at tum.de
