Dries Beyer

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 5

Top Topics

Semi Supervised

Unsupervised Learning

Top Venues

Mach. Vis. Appl.

Publications

Max Meyer, Amadeus Langer, Max Mehltretter, Dries Beyer, Max Coenen, Tobias Schack, Michael Haist, Christian Heipke
Image-based Deep Learning for the time-dependent prediction of fresh concrete properties. CoRR (2024)
Max Coenen, Dries Beyer, Christian Heipke, Michael Haist
Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate. CoRR (2022)
Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist
ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles. CoRR (2022)
Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist
ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles. Mach. Vis. Appl. 33 (4) (2022)
Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist
Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance. CoRR (2021)