Search Results for author: Dominik Winkelbauer

Found 3 papers, 3 papers with code

Learning to Localize in New Environments from Synthetic Training Data

1 code implementation9 Nov 2020 Dominik Winkelbauer, Maximilian Denninger, Rudolph Triebel

Our approach outperforms the 5-point algorithm using SIFT features on equally big images and additionally surpasses all previous learning-based approaches that were trained on different data.

Visual Localization

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

8 code implementations17 Jul 2020 Ludwig Kürzinger, Dominik Winkelbauer, Lujun Li, Tobias Watzel, Gerhard Rigoll

In this work, we combine freely available corpora for German speech recognition, including yet unlabeled speech data, to a big dataset of over $1700$h of speech data.

Ranked #3 on Speech Recognition on TUDA (using extra training data)

Speech Recognition Audio and Speech Processing

BlenderProc

4 code implementations25 Oct 2019 Maximilian Denninger, Martin Sundermeyer, Dominik Winkelbauer, Youssef Zidan, Dmitry Olefir, Mohamad Elbadrawy, Ahsan Lodhi, Harinandan Katam

BlenderProc is a modular procedural pipeline, which helps in generating real looking images for the training of convolutional neural networks.

3D Object Recognition Depth Image Estimation +3

Cannot find the paper you are looking for? You can Submit a new open access paper.