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Dávid Rozenberszki

TUM 3D AI Lab

6 papers hereh-index 5484 citations8 works total

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

author position
  • first author3
  • middle author2
  • last author1

Across the 6 of 6 papers where every author was matched, so the position is known.

fields
  • cs.CV5
  • cs.RO1
affiliations
  • TUM 3D AI Lab

identity via Semantic Scholar / OpenAlex

activity
20202025
most citedLanguage-Grounded Indoor 3D Semantic Segmentation in the Wild

3 citations · 4 across the 4 of their papers we have counts for

collaborators
Showing 2023Show all

2 papers · 1 filter

cs.CV2023

DiffCAD: Weakly-Supervised Probabilistic CAD Model Retrieval and Alignment from an RGB Image

Daoyi Gao, Dávid Rozenberszki, Stefan Leutenegger +1

Perceiving 3D structures from RGB images based on CAD model primitives can enable an effective, efficient 3D object-based representation of scenes. However, current approaches rely…

cs.CV2023★ 1 cited

UnScene3D: Unsupervised 3D Instance Segmentation for Indoor Scenes

David Rozenberszki, Or Litany, Angela Dai

3D instance segmentation is fundamental to geometric understanding of the world around us. Existing methods for instance segmentation of 3D scenes rely on supervision from expensiv…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.