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 | 151 | 2017 |
Integrity and collaboration in dynamic sensor networks S Schön, C Brenner, H Alkhatib, M Coenen, H Dbouk, ... Sensors 18 (7), 2400, 2018 | 31 | 2018 |
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 | 14 | 2021 |
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 | 12 | 2022 |
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 | 12 | 2022 |
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 | 12 | 2017 |
Precise vehicle reconstruction for autonomous driving applications M Coenen, F Rottensteiner, C Heipke ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information …, 2019 | 10 | 2019 |
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 | 9 | 2022 |
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 | 9 | 2022 |
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 | 6 | 2021 |
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 | 5 | 2023 |
Probabilistic Vehicle Reconstruction Using a Multi-Task CNN M Coenen, F Rottensteiner Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 5 | 2019 |
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 | 4 | 2024 |
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 | 4 | 2023 |
Bildbasierte Frischbetonprüfung–Teil 1: Konsistenz und Leimgehalt des Frischbetons T Schack, M Coenen, M Haist Beton‐und Stahlbetonbau 118 (4), 220-228, 2023 | 3 | 2023 |
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 | 3 | 2018 |
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 | 2 | 2023 |
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 | 2 | 2023 |
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 | 2 | 2017 |
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 | 1 | 2024 |