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Max Coenen
Max Coenen
Institute of Building Materials Science
在 baustoff.uni-hannover.de 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
Contextual segment-based classification of airborne laser scanner data
G Vosselman, M Coenen, F Rottensteiner
ISPRS journal of photogrammetry and remote sensing 128, 354-371, 2017
1512017
Integrity and collaboration in dynamic sensor networks
S Schön, C Brenner, H Alkhatib, M Coenen, H Dbouk, ...
Sensors 18 (7), 2400, 2018
312018
Semi-Supervised Segmentation of Concrete Aggregate Using Consensus Regularisation and Prior Guidance
M Coenen, T Schack, D Beyer, C Heipke, M Haist
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2021
142021
ConsInstancy: learning instance representations for semi-supervised panoptic segmentation of concrete aggregate particles
M Coenen, T Schack, D Beyer, C Heipke, M Haist
Machine Vision and Applications 33 (4), 57, 2022
122022
Learning to Sieve: Prediction of Grading Curves from Images of Concrete Aggregate
M Coenen, D Beyer, C Heipke, M Haist
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2022
122022
Detection and 3d modelling of vehicles from terrestrial stereo image pairs
M Coenen, F Rottensteiner, C Heipke
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2017
122017
Precise vehicle reconstruction for autonomous driving applications
M Coenen, F Rottensteiner, C Heipke
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019
102019
DIGITIZATION OF THE CONCRETE PRODUCTION CHAIN USING COMPUTER VISION AND ARTIFICIAL INTELLIGENCE
M Haist, C Heipke, D Beyer, M Coenen, T Schack, C Vogel, A Ponick, ...
Proceedings of the 6th fib International Congress, 434-443, 2022
92022
Image-Based Deep Learning for Rheology Determination of Bingham Fluids
A Ponick, A Langer, D Beyer, M Coenen, M Haist, C Heipke
The International Archives of the Photogrammetry, Remote Sensing and Spatial …, 2022
92022
Pose estimation and 3D reconstruction of vehicles from stereo-images using a subcategory-aware shape prior
M Coenen, F Rottensteiner
ISPRS Journal of Photogrammetry and Remote Sensing 181, 27-47, 2021
62021
Concrete flow transformer: predicting fresh concrete properties from concrete flow using vision transformers
M Coenen, C Vogel, T Schack, M Haist
European Conference on Computing in Construction, EC3 Conference 2023 4, 0-0, 2023
52023
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN
M Coenen, F Rottensteiner
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
52019
Deep Concrete Flow: Deep learning based characterisation of fresh concrete properties from open-channel flow using spatio-temporal flow fields
M Coenen, C Vogel, T Schack, M Haist
Construction and Building Materials 411, 134809, 2024
42024
Granulometry transformer: image-based granulometry of concrete aggregate for an automated concrete production control
M Coenen, D Beyer, M Haist
European Conference on Computing in Construction, EC3 Conference 2023 4, 0-0, 2023
42023
Bildbasierte Frischbetonprüfung–Teil 1: Konsistenz und Leimgehalt des Frischbetons
T Schack, M Coenen, M Haist
Beton‐und Stahlbetonbau 118 (4), 220-228, 2023
32023
Recovering the 3d pose and shape of vehicles from stereo images
M Coenen, F Rottensteiner, C Heipke
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2018
32018
Image‐based analysis of fresh concrete flow‐determining the correlation between flow behavior and rheological properties
C Vogel, M Coenen, T Schack, D Beyer, M Haist
ce/papers 6 (6), 621-627, 2023
22023
Concrete 4.0‐Sustainable concrete construction with digital quality control
M Haist, T Schack, M Coenen, C Vogel, D Beyer, C Heipke
ce/papers 6 (6), 1555-1562, 2023
22023
Classification of stereo images from mobile mapping data using conditional random fields
M Coenen, F Rottensteiner, C Heipke
PFG–Journal of Photogrammetry, Remote Sensing and Geoinformation Science 85 …, 2017
22017
Image-based Deep Learning for the time-dependent prediction of fresh concrete properties
M Meyer, A Langer, M Mehltretter, D Beyer, M Coenen, T Schack, M Haist, ...
arXiv preprint arXiv:2402.06611, 2024
12024
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