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M. Mehltretter

10 papers hereh-index 7106 citations37 works total

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

author position
  • sole author1
  • first author1
  • middle author5
  • last author3

Across the 10 of 10 papers where every author was matched, so the position is known.

fields
  • cs.CV9
  • cs.LG1

identity via Semantic Scholar / OpenAlex

activity
20192026
most citedImage-based Deep Learning for the time-dependent prediction of fresh concrete properties

1 citations · 1 across the 9 of their papers we have counts for

collaborators
Showing 2026Show all

3 papers · 1 filter

cs.CV2026

CrossDepth: Geometry-Constrained Attention for Generalizable Multi-View Surround Depth Estimation

Samer Abualhanud, Max Mehltretter

Reliable 3D understanding of the surrounding environment is a core requirement for autonomous driving. Multi-view surround camera rigs provide broad scene coverage, but the spatial…

cs.CV2026

Semantic Segmentation of Textured Non-manifold 3D Meshes using Transformers

Mohammadreza Heidarianbaei, Max Mehltretter, Franz Rottensteiner

Textured 3D meshes jointly represent geometry, topology, and appearance, yet their irregular structure poses significant challenges for deep-learning-based semantic segmentation. W…

cs.CV2026

Open-Vocabulary Semantic Segmentation in Remote Sensing via Hierarchical Attention Masking and Model Composition

Mohammadreza Heidarianbaei, Mareike Dorozynski, Hubert Kanyamahanga +2

In this paper, we propose ReSeg-CLIP, a new training-free Open-Vocabulary Semantic Segmentation method for remote sensing data. To compensate for the problems of vision language mo…

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