Compiling VR/AR Trainings from Business Process Models. - Lucas Thies; Christoph Strohmeyer; Jens Ebert; Marc Stamminger; Frank Bauer 001 (ISMAR Adjunct, 2019)

A Safari through FPGA-based Neural Network Compilation and Design Automation Flows. - Patrick Plagwitz; Frank Hannig; Martin Ströbel; Christoph Strohmeyer; Jürgen Teich (FCCM, 2021)

Rack force estimation from standstill to high speeds by hybrid model design and blending. - Fadi Snobar; Andreas Michalka; Maik Horn; Christoph Strohmeyer; Knut Graichen (ICM, 2023)

Simulation chain for sensorized strain wave gears. - Julian Kißkalt; Andreas Michalka; Christoph Strohmeyer; Maik Horn; Knut Graichen (ICSTCC, 2023)

DeNos22: A Pipeline to Learn Object Tracking Using Simulated Depth. - Dominik Penk; Maik Horn; Christoph Strohmeyer; Frank Bauer 001; Marc Stamminger (VISIGRAPP (5: VISAPP), 2023)

Fault Detection in Gauge-Sensorized Strain Wave Gears. - Julian Kißkalt; Andreas Michalka; Christoph Strohmeyer; Maik Horn; Knut Graichen (ECC, 2024)

Sensitivity-Based Moving Horizon Estimation of Road Friction. - Fadi Snobar; Andreas Michalka; Maik Horn; Christoph Strohmeyer; Knut Graichen (ECC, 2024)

Efficient Deployment of Neural Networks for Thermal Monitoring on AURIX TC3xx Microcontrollers. - Christian Heidorn; Frank Hannig; Dominik Riedelbauch; Christoph Strohmeyer; Jürgen Teich (VEHITS, 2024)

AbSynth: Using Abstract Image Synthesis for Synthetic Training. - Dominik Penk; Maik Horn; Christoph Strohmeyer; Bernhard Egger 001; Marc Stamminger; Frank Bauer 001 (VISIGRAPP (2): VISAPP, 2024)

OpTC - A Toolchain for Deployment of Neural Networks on AURIX TC3xx Microcontrollers. - Christian Heidorn; Frank Hannig; Dominik Riedelbauch; Christoph Strohmeyer; Jürgen Teich (CoRR, 2024)

Enhancing Unsupervised Outlier Model Selection: A Study on IREOS Algorithms. - Philipp Schlieper; Hermann Luft; Kai Klede; Christoph Strohmeyer; Björn M. Eskofier; Dario Zanca (ACM Trans. Knowl. Discov. Data, 2024)