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Dominik Winkelbauer

3 papers here

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

author position
  • first author1
  • middle author2

Across the 3 of 3 papers where every author was matched, so the position is known.

fields
  • cs.CV1
  • cs.RO1
  • eess.AS1

identity via Semantic Scholar / OpenAlex

most citedCTC-Segmentation of Large Corpora for German End-to-end Speech Recognition

79 citations · 105 across the 2 of their papers we have counts for

collaborators

3 papers

cs.RO2020

Learning to Localize in New Environments from Synthetic Training Data

Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel

Most existing approaches for visual localization either need a detailed 3D model of the environment or, in the case of learning-based methods, must be retrained for each new scene.…

eess.AS2020★ 79 cited

CTC-Segmentation of Large Corpora for German End-to-end Speech Recognition

Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li +2

Recent end-to-end Automatic Speech Recognition (ASR) systems demonstrated the ability to outperform conventional hybrid DNN/ HMM ASR. Aside from architectural improvements in those…

cs.CV2019★ 26 cited

BlenderProc

Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer +5

BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks. These can be used in a variety of use…

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