Maximilian Luz
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Your position | |
| Postal address: |
Albert-Ludwigs-Universität Freiburg |
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| Office: | 00.023 | |
| Email: |
luz@cs.uni-freiburg.de |
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| Website: | mxnluz.io | |
About me
- 07/2023 - current: Ph.D. Student in the Robot Learning Lab, University of Freiburg
- 10/2022 - 06/2023: Research Assistant in the Computer Vision Group, University of Stuttgart
- 04/2018 - 03/2023: M.Sc. in Computer Science, University of Stuttgart
- 10/2013 - 03/2018: B.Sc. in Computer Science, University of Stuttgart
Research Interests
- Robot Perception
- Dynamic Scene Understanding
- Multi-Sensor Fusion, Multi-Modal and Multi-Task Learning
Talks
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High-Resolution Multi-Scale RAFT (Robust Vision Challenge 2022; 1st Place Presentation for Optical Flow)
Robust Vision Challenge, ECCV, 2022. Tel Aviv (Israel; Virtual).
Teaching
- TA, Advanced Deep Learning, University of Freiburg, SS2024
- TA, Machine Learning, University of Freiburg, WS2023
Publications
2024
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Maximilian Luz,
Rohit Mohan,
Ahmed Rida Sekkat,
Oliver Sawade,
Elmar Matthes,
Thomas Brox,
Abhinav Valada
Amodal Optical Flow
International Conference on Robotics and Automation (ICRA), 2024.
Download Website Video Code
2023
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Azin Jahedi,
Maximilian Luz,
Marc Rivinius,
Lukas Mehl,
Andrès Bruhn,
MS-RAFT+: High Resolution Multi-Scale RAFT
International Journal of Computer Vision (IJCV), 2023.
Download -
Azin Jahedi,
Maximilian Luz,
Marc Rivinius,
Andrès Bruhn,
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning
arXiv preprint arXiv:2311.02661, 2023. (accepted for WACV 2024)
Download
2022
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Azin Jahedi,
Maximilian Luz,
Lukas Mehl,
Marc Rivinius,
Andrès Bruhn,
High Resolution Multi-Scale RAFT (Robust Vision Challenge 2022; 1st Place Report for Optical Flow)
arXiv preprint arXiv:2210.16900, 2022.
Download