Gradient Based Evolution to Optimize the Structure of Convolutional Neural Networks. - Norbert Mitschke; Michael Heizmann; Klaus-Henning Noffz; Ralf Wittmann (ICIP, 2018)

Cyclic bit loading for adaptive OFDM in narrowband power line communications. - Cornelius Kaiser; Norbert Mitschke; Klaus Dostert (ISPLC, 2018)

A Fixed-Point Quantization Technique for Convolutional Neural Networks Based on Weight Scaling. - Norbert Mitschke; Michael Heizmann; Klaus-Henning Noffz; Ralf Wittmann (ICIP, 2019)

Image-Based Visual Servoing of Rotationally Invariant Objects Using a U-Net Prediction. - Norbert Mitschke; Michael Heizmann (ICARA, 2021)

Task Specific Image Enhancement for Improving the Accuracy of CNNs. - Norbert Mitschke; Yunou Ji; Michael Heizmann (ICPRAM, 2021)

Agiles Produktionssystem mittels lernender Roboter bei ungewissen Produktzuständen am Beispiel der Anlasser-Demontage. - 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; et al. (Autom., 2022)

MotorFactory: A Blender Add-on for Large Dataset Generation of Small Electric Motors. - Chengzhi Wu; Kanran Zhou; Jan-Philipp Kaiser; Norbert Mitschke; Jan-Felix Klein; Julius Pfrommer; Jürgen Beyerer; Gisela Lanza; Michael Heizmann; Kai Furmans (CoRR, 2023)