2 citations · 2 across the 4 of their papers we have counts for
4 papers
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.…
Automatic Displacement and Vibration Measurement in Laboratory Experiments with A Deep Learning Method
Yongsheng Bai, Ramzi M. Abduallah, Halil Sezen +1
This paper proposes a pipeline to automatically track and measure displacement and vibration of structural specimens during laboratory experiments. The latest Mask Regional Convolu…
A volumetric change detection framework using UAV oblique photogrammetry - A case study of ultra-high-resolution monitoring of progressive building collapse
Ningli Xu, Debao Huang, Shuang Song +5
In this paper, we present a case study that performs an unmanned aerial vehicle (UAV) based fine-scale 3D change detection and monitoring of progressive collapse performance of a b…
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…