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Maximilian Luz

Robot Learning Lab, University of Freiburg, Germany

4 papers hereh-index 466 citations6 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author3
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV4
affiliations
  • Robot Learning Lab, University of Freiburg, Germany
HomepageORCID 0000-0002-1123-6604

identity via Semantic Scholar / OpenAlex

collaborators

4 papers

cs.CV2026

Streaming Gaussian Encoding for 4D Panoptic Occupancy Tracking

Maximilian Luz, Thomas Nürnberg, Yakov Miron +1

Camera-based 4D panoptic occupancy tracking (4D-POT) is a promising paradigm for holistic scene understanding from multi-view imagery, enabling joint reasoning about geometry, sema…

cs.CV2026

Latent Gaussian Splatting for 4D Panoptic Occupancy Tracking

Maximilian Luz, Rohit Mohan, Thomas Nürnberg +3

Capturing 4D spatiotemporal scene structure is crucial for the safe and reliable operation of robots in dynamic environments. However, existing approaches typically address only pa…

cs.CV2023

CCMR: High Resolution Optical Flow Estimation via Coarse-to-Fine Context-Guided Motion Reasoning

Azin Jahedi, Maximilian Luz, Marc Rivinius +1

Attention-based motion aggregation concepts have recently shown their usefulness in optical flow estimation, in particular when it comes to handling occluded regions. However, due…

cs.CV2023

Amodal Optical Flow

Maximilian Luz, Rohit Mohan, Ahmed Rida Sekkat +4

Optical flow estimation is very challenging in situations with transparent or occluded objects. In this work, we address these challenges at the task level by introducing Amodal Op…

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