Maximilian Luz
 |
Your position | |
| Postal address: |
Albert-Ludwigs-Universität Freiburg |
|
| Office: | 00.023 | |
| Email: |
luz@cs.uni-freiburg.de |
|
| 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
-
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, Machine Learning, University of Freiburg, WS2023
Publications
2023
-
Maximilian Luz,
Rohit Mohan,
Ahmed Rida Sekkat,
Oliver Sawade,
Elmar Matthes,
Thomas Brox,
Abhinav Valada
Amodal Optical Flow
arXiv preprint arXiv:2311.07761, 2023.
Download -
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
-
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