Christian Benz

Christian Benz is a Researcher at the Computer Science Department, Faculty of Media, Bauhaus-University Weimar since 2019. He holds an M.Sc. and B.Sc. in Computer Science from TU Darmstadt, with specialization in machine learning applied to image data. His research focuses on structural health monitoring, crack detection, and 3D reconstruction using computer vision techniques. He concurrently works part-time as a Computer Vision Scientist at ZEISS since 2023.

Research interests include crack segmentation, multi-view learning, point cloud processing, and deep learning for infrastructure inspection. Notable projects include the AISTEC initiative for evaluating aging infrastructure using digital technologies. His work bridges computer vision with civil engineering applications, particularly in bridge and building safety assessment.

Publications emphasize interdisciplinary approaches to structural defect detection, leveraging CNNs, attention mechanisms, and novel benchmarks like OmniCrack30k. His methods address challenges in concrete surface analysis, UAV-based imaging, and semantic segmentation during bridge inspections.

Professional activities include lab coordination in the 3D-RealityCapture-ScanLab and participation in the Bauhaus Path Planning Challenge. His research contributes to advancing automated inspection tools for civil infrastructure safety.