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2020 – today
- 2023
[i1]Chengzhi Wu, Kanran Zhou, Jan-Philipp Kaiser, Norbert Mitschke, Jan-Felix Klein, Julius Pfrommer, Jürgen Beyerer, Gisela Lanza, Michael Heizmann, Kai Furmans:
MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. CoRR abs/2301.05028 (2023)- 2022
- [j1]Gisela Lanza, Tamim Asfour, Jürgen Beyerer, Barbara Deml
, Jürgen Fleischer, Michael Heizmann, Kai Furmans, Constantin Hofmann, Alexander Cebulla, Christian R. G. Dreher, Jan-Philipp Kaiser, Jan-Felix Klein, Fabian Leven, Simon Mangold, Norbert Mitschke, Nicole Stricker, Julius Pfrommer, Chengzhi Wu, Marco Wurster, Manuel Zaremski:
Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. Autom. 70(6): 504-516 (2022) - 2021
- [c5]Norbert Mitschke, Michael Heizmann:
Image-Based Visual Servoing of Rotationally Invariant Objects Using a U-Net Prediction. ICARA 2021: 235-240 - [c4]Norbert Mitschke, Yunou Ji, Michael Heizmann:
Task Specific Image Enhancement for Improving the Accuracy of CNNs. ICPRAM 2021: 174-181
2010 – 2019
- 2019
- [c3]Norbert Mitschke, Michael Heizmann, Klaus-Henning Noffz, Ralf Wittmann:
A Fixed-Point Quantization Technique for Convolutional Neural Networks Based on Weight Scaling. ICIP 2019: 3836-3840 - 2018
- [c2]Norbert Mitschke, Michael Heizmann, Klaus-Henning Noffz, Ralf Wittmann:
Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks. ICIP 2018: 3438-3442 - [c1]Cornelius Kaiser, Norbert Mitschke, Klaus Dostert:
Cyclic bit loading for adaptive OFDM in narrowband power line communications. ISPLC 2018: 1-6
Coauthor Index
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