BlenderProc. - Maximilian Denninger; Martin Sundermeyer; Dominik Winkelbauer; Youssef Zidan; Dmitry Olefir; Mohamad Elbadrawy; Ahsan Lodhi; Harinandan Katam (CoRR, 2019)

CTC-Segmentation of Large Corpora for German End-to-End Speech Recognition. - Ludwig Kürzinger; Dominik Winkelbauer; Lujun Li 002; Tobias Watzel; Gerhard Rigoll (SPECOM, 2020)

Learning to Localize in New Environments from Synthetic Training Data. - Dominik Winkelbauer; Maximilian Denninger; Rudolph Triebel (ICRA, 2021)

Self-Contained Calibration of an Elastic Humanoid Upper Body Using Only a Head-Mounted RGB Camera. - Johannes Tenhumberg; Dominik Winkelbauer; Darius Burschka; Berthold Bäuml (Humanoids, 2022)

A Two-stage Learning Architecture that Generates High-Quality Grasps for a Multi-Fingered Hand. - Dominik Winkelbauer; Berthold Bäuml; Matthias Humt; Nils Thuerey; Rudolph Triebel (IROS, 2022)

Combining Shape Completion and Grasp Prediction for Fast and Versatile Grasping with a Multi-Fingered Hand. - Matthias Humt; Dominik Winkelbauer; Ulrich Hillenbrand; Berthold Bäuml (Humanoids, 2023)

Shape Completion with Prediction of Uncertain Regions. - Matthias Humt; Dominik Winkelbauer; Ulrich Hillenbrand (IROS, 2023)

Learning-Based Real-Time Torque Prediction for Grasping Unknown Objects with a Multi-Fingered Hand. - Dominik Winkelbauer; Berthold Bäuml; Rudolph Triebel (IROS, 2023)

BlenderProc2: A Procedural Pipeline for Photorealistic Rendering. - Maximilian Denninger; Dominik Winkelbauer; Martin Sundermeyer; Wout Boerdijk; Markus Knauer; Klaus H. Strobl; Matthias Humt; Rudolph Triebel (J. Open Source Softw., 2023)

A Learning-based Controller for Multi-Contact Grasps on Unknown Objects with a Dexterous Hand. - Dominik Winkelbauer; Rudolph Triebel; Berthold Bäuml (IROS, 2024)

Composing Dextrous Grasping and In-hand Manipulation via Scoring with a Reinforcement Learning Critic. - Lennart Röstel; Dominik Winkelbauer; Johannes Pitz; Leon Sievers; Berthold Bäuml (CoRR, 2025)