| 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 | 46 | 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 | 19 | 2022 |
| Distracting downpour: Adversarial weather attacks for motion estimation J Schmalfuss, L Mehl, A Bruhn Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 12 | 2023 |
| 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 | 12 | 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 | 10 | 2022 |
| An anisotropic selection scheme for variational optical flow methods with order-adaptive regularisation L Mehl, C Beschle, A Barth, A Bruhn International Conference on Scale Space and Variational Methods in Computer …, 2021 | 6 | 2021 |
| Attacking motion estimation with adversarial snow J Schmalfuss, L Mehl, A Bruhn arXiv preprint arXiv:2210.11242, 2022 | 5 | 2022 |
| Stereo Conversion with Disparity-Aware Warping, Compositing and Inpainting L Mehl, A Bruhn, M Gross, C Schroers Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 3 | 2024 |
| Anisotropic selection schemes for order-adaptive variational optical flow methods L Mehl | 2 | 2020 |
| MS-RAFT+: High Resolution Multi-Scale RAFT A Jahedi, M Luz, M Rivinius, L Mehl, A Bruhn International Journal of Computer Vision 132 (5), 1835-1856, 2024 | 1 | 2024 |
| ARTISTICALLY CONTROLLABLE STEREO CONVERSION CR Schroers, DC Costa, EV Doggett, S Hattori, EP Jacobs, LF Mehl, ... US Patent App. 18/473,947, 2024 | | 2024 |
| Replication Data for: An Anisotropic Selection Scheme for Variational Optical Flow Methods with Order-Adaptive Regularisation L Mehl, C Beschle, A Barth, A Bruhn DaRUS, 2022 | | 2022 |
Andres BruhnProfessor of Computer Science, University of Stuttgart, GermanyEmail confirmado em vis.uni-stuttgart.de
