Norbert Mitschke

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 7

Top Topics

Convolutional Neural Networks

Color Image Enhancement

Top Venues

Publications

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 (2023)
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) (2022)
Norbert Mitschke, Michael Heizmann
Image-Based Visual Servoing of Rotationally Invariant Objects Using a U-Net Prediction. ICARA (2021)
Norbert Mitschke, Yunou Ji, Michael Heizmann
Task Specific Image Enhancement for Improving the Accuracy of CNNs. ICPRAM (2021)
Norbert Mitschke, Michael Heizmann, Klaus-Henning Noffz, Ralf Wittmann
A Fixed-Point Quantization Technique for Convolutional Neural Networks Based on Weight Scaling. ICIP (2019)
Norbert Mitschke, Michael Heizmann, Klaus-Henning Noffz, Ralf Wittmann
Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks. ICIP (2018)
Cornelius Kaiser, Norbert Mitschke, Klaus Dostert
Cyclic bit loading for adaptive OFDM in narrowband power line communications. ISPLC (2018)