Christian Benz

Orcid: 0000-0001-9915-0057

According to our database1, Christian Benz authored at least 11 papers between 2019 and 2025.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

On csauthors.net:

Bibliography

2025
Crackstructures and Crackensembles: The Power of Multi-View for 2.5D Crack Detection.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

2024
Multi-View 3D Instance Segmentation of Structural Anomalies for Enhanced Structural Inspection of Concrete Bridges.
CoRR, 2024

dacl-challenge: Semantic Segmentation during Visual Bridge Inspections.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, 2024

3D Freeform Millimeter-Wave and THz Structures Based on Multi-Photon Lithography.
Proceedings of the Optical Fiber Communications Conference and Exhibition, 2024

MVCrackViT: Robust Multi-View Crack Detection For Point Cloud Segmentation Using View Attention.
Proceedings of the IEEE International Conference on Image Processing, 2024

Enstrect: A Stage-Based Approach to 2.5D Structural Damage Detection.
Proceedings of the Computer Vision - ECCV 2024 Workshops, 2024

Omni-Crack30k: A Benchmark for Crack Segmentation and the Reasonable Effectiveness of Transfer Learning.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023
Drawing the Same Bounding Box Twice? Coping Noisy Annotations in Object Detection with Repeated Labels.
Proceedings of the Pattern Recognition - 45th DAGM German Conference, 2023

2022
Image-Based Detection of Structural Defects Using Hierarchical Multi-scale Attention.
Proceedings of the Pattern Recognition, 2022

2021
Model-based Crack Width Estimation using Rectangle Transform.
Proceedings of the 17th International Conference on Machine Vision and Applications, 2021

2019
Crack Segmentation on UAS-based Imagery using Transfer Learning.
Proceedings of the 2019 International Conference on Image and Vision Computing New Zealand, 2019


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