Integrity and Collaboration in Dynamic Sensor Networks. - Steffen Schön; Claus Brenner; Hamza Alkhatib; Max Coenen; Hani Dbouk; Nicolas Garcia Fernandez; Colin Fischer; Christian Heipke; Katja Lohmann; Ingo Neumann; Uyen Nguyen; Jens-André Paffenholz; et al. (Sensors, 2018)

Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. - Max Coenen; Franz Rottensteiner (ICCV Workshops, 2019)

Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance. - Max Coenen; Tobias Schack; Dries Beyer; Christian Heipke; Michael Haist (CoRR, 2021)

Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior. - Max Coenen; Franz Rottensteiner (CoRR, 2021)

Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate. - Max Coenen; Dries Beyer; Christian Heipke; Michael Haist (CoRR, 2022)

ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles. - Max Coenen; Tobias Schack; Dries Beyer; Christian Heipke; Michael Haist (Mach. Vis. Appl., 2022)

Image-based Deep Learning for the time-dependent prediction of fresh concrete properties. - Max Meyer; Amadeus Langer; Max Mehltretter; Dries Beyer; Max Coenen; Tobias Schack; Michael Haist; Christian Heipke (CoRR, 2024)