Maximilian Luz

	Your position
	Postal address:	Albert-Ludwigs-Universität Freiburg Technische Fakultät Robot Learning Lab Georges-Köhler-Allee 080 D-79110 Freiburg i. Br., Germany
	Office:	00.023
	Email:	luz@cs.uni-freiburg.de
	Phone:	+49 761 203-8024
	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 3D Scene Understanding
Occupancy Prediction, 3D/4D Vision

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, Advanced Deep Learning, University of Freiburg, SS2024
TA, Machine Learning, University of Freiburg, WS2023

Publications

2026

Maximilian Luz, Thomas Nürnberg, Yakov Miron, Abhinav Valada,
Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2026.
Download Website BibTeX

@article{luz2026sge,
      author={Luz, Maximilian and Nürnberg, Thomas and Miron, Yakov and Valada, Abhinav},
      title={Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking}, 
      journal={IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)},
      year={2026},
}

Maximilian Luz, Rohit Mohan, Thomas Nürnberg, Yakov Miron, Daniele Cattaneo, Abhinav Valada,
Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking
IEEE Robotics and Automation Letters (RA-L), 2026.
Download Website BibTeX

@article{luz2026lags,
      author={Luz, Maximilian and Mohan, Rohit and Nürnberg, Thomas and Miron, Yakov and Cattaneo, Daniele and Valada, Abhinav},
      title={Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking}, 
      journal={IEEE Robotics and Automation Letters (RA-L)},
      year={2026},
}

2024

Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat, Oliver Sawade, Elmar Matthes, Thomas Brox, Abhinav Valada Amodal Optical Flow
IEEE International Conference on Robotics and Automation (ICRA), 2024.
Download Website Video Code
Azin Jahedi, Maximilian Luz, Marc Rivinius, Andrès Bruhn,
CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2024
Download

2023

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

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