2 citations · 4 across the 8 of their papers we have counts for
5 papers · 1 filter
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.…
Network Comparison Study of Deep Activation Feature Discriminability with Novel Objects
Michael Karnes, Alper Yilmaz
Feature extraction has always been a critical component of the computer vision field. More recently, state-of-the-art computer visions algorithms have incorporated Deep Neural Netw…
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…
Map-Based Temporally Consistent Geolocalization through Learning Motion Trajectories
Bing Zha, Alper Yilmaz
In this paper, we propose a novel trajectory learning method that exploits motion trajectories on topological map using recurrent neural network for temporally consistent geolocali…