Maximilian Luz

201720182019202020212022202320241 1 1 1 6 3

Azin JahediPhD Student, Universtity of StuttgartVerified email at vis.uni-stuttgart.de
Marc RiviniusUniversity of StuttgartVerified email at sec.uni-stuttgart.de
Andres BruhnProfessor of Computer Science, University of Stuttgart, GermanyVerified email at vis.uni-stuttgart.de
Lukas MehlPhD student, University of StuttgartVerified email at vis.uni-stuttgart.de
Abhinav ValadaProfessor & Director of Robot Learning Lab, University of FreiburgVerified email at cs.uni-freiburg.de
Rohit MohanRobot Learning Lab, University of FreiburgVerified email at cs.uni-freiburg.de

Maximilian Luz

PhD Student, Robot Learning Lab, University of Freiburg, Germany

Verified email at cs.uni-freiburg.de - Homepage


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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

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