Dries Beyer

According to our database, Dries Beyer authored at least 4 papers between 2021 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

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

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

CoRR, 2021