2 citations · 2 across the 4 of their papers we have counts for
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cs.CV2025
Deep learning-based automated damage detection in concrete structures using images from earthquake events
Abdullah Turer, Yongsheng Bai, Halil Sezen +1
Timely assessment of integrity of structures after seismic events is crucial for public safety and emergency response. This study focuses on assessing the structural damage conditi…
cs.CV2022
Engineering deep learning methods on automatic detection of damage in infrastructure due to extreme events
Yongsheng Bai, Bing Zha, Halil Sezen +1
This paper presents a few comprehensive experimental studies for automated Structural Damage Detection (SDD) in extreme events using deep learning methods for processing 2D images.…
cs.CV2020★ 2 cited
End-to-end Deep Learning Methods for Automated Damage Detection in Extreme Events at Various Scales
Yongsheng Bai, Halil Sezen, Alper Yilmaz
Robust Mask R-CNN (Mask Regional Convolu-tional Neural Network) methods are proposed and tested for automatic detection of cracks on structures or their components that may be dama…