| Name: | Christian Benz, M.Sc. |
| Room: | Schwanseestraße 143, R. 2.36 |
| Phone: | +49 (0) 36 43/58 37 31 |
| E-Mail: | christian.benz[at]uni-weimar.de |
| Office Hours: | On request |
| Complete Projects: |
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Christian Benz is a member of the faculty of media at Bauhaus-University since 2019. He studied computer science at TU Darmstadt (B. Sc. and M. Sc.) and specialized in machine learning on image data.
Publications:
- Benz, C., & Rodehorst, V. (2022). Image-based Detection of Structural Defects using Hierarchical Multi-Scale Attention. To appear in German Conference on Pattern Recognition. Springer, Cham. [Paper]
- Benz, C., & Rodehorst, V. (2022). Image-based Control Point Detection and Correspondence-free Georeferencing. ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2, 399-406. [Paper]
- Benz, C., & Rodehorst, V. (2021). Model-based Crack Width Estimation using Rectangle Transform. In 2021 17th International Conference on Machine Vision and Applications (MVA) (pp. 1-5). IEEE. [Paper]
- Benz, C., Debus, P., Ha, H.-K., & Rodehorst, V. (2019). Crack Segmentation on UAS-based Imagery using Transfer Learning. Angenommen für Image and Vision Computing New Zealand, IVCNZ, Dunedin. [Paper]
- Debus, P. & Benz, C. (2019). Verbesserung der Risserkennung in UAS Bildern durch Fusion mehrerer Aufnahmen. Forum Bauinformatik, Berlin.
- Debus, P., Benz, C., & Rodehorst, V. (2019). Multiple View Anomaly Detection in Images from UAS Structure Inspection using CNNs. IABSE Congress, New York.