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Maximilian Luz
Maximilian Luz
PhD Student, Robot Learning Lab, University of Freiburg, Germany
Email confirmado em cs.uni-freiburg.de - Página inicial
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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
72022
Microscopic Traffic Simulation
M Luz, DP Cacheiro, JO Schmidt
Technical Report, Simulation Software Engineering, IPVS, University of Stuttgart, 2016
32016
Subspace-optimal data mining on spatially adaptive sparse grids
M Luz
University of Stuttgart, 2017
22017
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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