5 citations · 7 across the 6 of their papers we have counts for
6 papers
High-Fidelity Visual Structural Inspections through Transformers and Learnable Resizers
Kareem Eltouny, Seyedomid Sajedi, Xiao Liang
Visual inspection is the predominant technique for evaluating the condition of civil infrastructure. The recent advances in unmanned aerial vehicles (UAVs) and artificial intellige…
Cepstral Coefficients for Earthquake Damage Assessment of Bridges Leveraging Deep Learning
Seyedomid Sajedi, Xiao Liang
Bridges are indispensable elements in resilient communities as essential parts of the lifeline transportation systems. Knowledge about the functionality of bridge structures is cru…
Deep Bayesian U-Nets for Efficient, Robust and Reliable Post-Disaster Damage Localization
Xiao Liang, Seyed Omid Sajedi
Post-disaster inspections are critical to emergency management after earthquakes. The availability of data on the condition of civil infrastructure immediately after an earthquake…
Model Uncertainty Quantification for Reliable Deep Vision Structural Health Monitoring
Seyed Omid Sajedi, Xiao Liang
Computer vision leveraging deep learning has achieved significant success in the last decade. Despite the promising performance of the existing deep models in the recent literature…
Intensity-Based Feature Selection for Near Real-Time Damage Diagnosis of Building Structures
Seyed Omid Sajedi, Xiao Liang
Near real-time damage diagnosis of building structures after extreme events (e.g., earthquakes) is of great importance in structural health monitoring. Unlike conventional methods…
A Convolutional Cost-Sensitive Crack Localization Algorithm for Automated and Reliable RC Bridge Inspection
Seyed Omid Sajedi, Xiao Liang
Bridges are an essential part of the transportation infrastructure and need to be monitored periodically. Visual inspections by dedicated teams have been one of the primary tools i…