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Max Coenen
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2020 – today
- 2024
- [i6]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 abs/2402.06611 (2024) - 2022
- [j2]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): 57 (2022) - [i5]Max Coenen, Dries Beyer, Christian Heipke, Michael Haist:
Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate. CoRR abs/2204.03333 (2022) - [i4]Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist:
ConsInstancy: Learning Instance Representations for Semi-Supervised Panoptic Segmentation of Concrete Aggregate Particles. CoRR abs/2204.04635 (2022) - 2021
- [i3]Max Coenen, Franz Rottensteiner:
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. CoRR abs/2102.10681 (2021) - [i2]Max Coenen, Tobias Schack, Dries Beyer, Christian Heipke, Michael Haist:
Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance. CoRR abs/2104.11028 (2021) - [i1]Max Coenen, Franz Rottensteiner:
Pose Estimation and 3D Reconstruction of Vehicles from Stereo-Images Using a Subcategory-Aware Shape Prior. CoRR abs/2107.10898 (2021)
2010 – 2019
- 2019
- [c1]Max Coenen
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN. ICCV Workshops 2019: 822-831 - 2018
- [j1]Steffen Schön
Integrity and Collaboration in Dynamic Sensor Networks. Sensors 18(7): 2400 (2018)
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