| Spring: A high-resolution high-detail dataset and benchmark for scene flow, optical flow and stereo L Mehl, J Schmalfuss, A Jahedi, Y Nalivayko, A Bruhn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 17 | 2023 |
| Multi-scale RAFT: Combining hierarchical concepts for learning-based optical flow estimation A Jahedi, L Mehl, M Rivinius, A Bruhn 2022 IEEE International Conference on Image Processing (ICIP), 1236-1240, 2022 | 16 | 2022 |
| M-fuse: Multi-frame fusion for scene flow estimation L Mehl, A Jahedi, J Schmalfuss, A Bruhn Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 10 | 2023 |
| High resolution multi-scale raft (robust vision challenge 2022) A Jahedi, M Luz, L Mehl, M Rivinius, A Bruhn arXiv preprint arXiv:2210.16900, 2022 | 8 | 2022 |
| Improved descriptor Learning for correspondence problems A Jahedi | 1 | 2018 |
| CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning A Jahedi, M Luz, M Rivinius, A Bruhn Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | | 2024 |
| MS-RAFT+: High Resolution Multi-Scale RAFT A Jahedi, M Luz, M Rivinius, L Mehl, A Bruhn International Journal of Computer Vision, 1-22, 2023 | | 2023 |
| CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning Supplementary Material A Jahedi, M Luz, M Rivinius, A Bruhn | | |
