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 |
Microscopic Traffic Simulation M Luz, DP Cacheiro, JO Schmidt Technical Report, Simulation Software Engineering, IPVS, University of Stuttgart, 2016 | 3 | 2016 |
Subspace-optimal data mining on spatially adaptive sparse grids M Luz University of Stuttgart, 2017 | 2 | 2017 |
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 |
Amodal Optical Flow M Luz, R Mohan, AR Sekkat, O Sawade, E Matthes, T Brox, A Valada arXiv preprint arXiv:2311.07761, 2023 | | 2023 |
RAFT meets DICL: a recurrent all-pair transform for optical flow estimation based on displacement Invariant cost volume learning M Luz University of Stuttgart, 2022 | | 2022 |
Maximum Entropy Inverse Reinforcement Learning M Luz https://github.com/qzed/irl-maxent, 2019 | | 2019 |
Real-Time Capable Robust Noise Reduction M Luz https://github.com/qzed/noisereduce, 2019 | | 2019 |
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning Supplementary Material A Jahedi, M Luz, M Rivinius, A Bruhn | | |