Max Coenen

According to our database, Max Coenen authored at least 7 papers between 2018 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

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

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

Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate.

Max Coenen, Dries Beyer, Christian Heipke, Michael Haist

CoRR, 2022

2021

Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior.

Max Coenen, Franz Rottensteiner

CoRR, 2021

Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance.

Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist

CoRR, 2021

2019

Probabilistic Vehicle Reconstruction Using a Multi-Task CNN.

Max Coenen, Franz Rottensteiner

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

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, Torben Peters, Franz Rottensteiner, Julia Schachtschneider, Monika Sester, Ligang Sun, Sören Vogel, Raphael Voges, Bernardo Wagner

Sensors, 2018