MaDnet: multi-task semantic segmentation of multiple types of structural materials and damage in images of civil infrastructure

Vision-Based Construction Worker Activity Analysis Informed by Body Posture

(2020) Dominic Roberts et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Advances in Computer Vision-Based Civil Infrastructure Inspection and Monitoring

(2019) Billie F. Spencer et al.   Engineering

Neural networks for topology optimization

(2019) Ivan Sosnovik et al.   RUSSIAN JOURNAL OF NUMERICAL ANALYSIS AND MATHEMATICAL MODELLING

Vision‐based automated bridge component recognition with high‐level scene consistency

(2019) Yasutaka Narazaki et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Multi-class structural damage segmentation using fully convolutional networks

(2019) Juan Jose Rubio et al.   COMPUTERS IN INDUSTRY

Deep Bayesian neural networks for damage quantification in miter gates of navigation locks

(2019) Vedhus Hoskere et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

A deep learning-based method for detecting non-certified work on construction sites

(2018) Qi Fang et al.   ADVANCED ENGINEERING INFORMATICS

Visual data classification in post-event building reconnaissance

(2018) Chul Min Yeum et al.   ENGINEERING STRUCTURES

A novel unsupervised deep learning model for global and local health condition assessment of structures

(2018) Mohammad Hossein Rafiei et al.   ENGINEERING STRUCTURES

Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning

(2018) Hongjo Kim et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Computer vision and deep learning–based data anomaly detection method for structural health monitoring

(2018) Yuequan Bao et al.   STRUCTURAL HEALTH MONITORING-AN INTERNATIONAL JOURNAL

Machine Learning Driven Real Time Topology Optimization under Moving Morphable Component (MMC)-Based Framework

(2018) Xin Lei et al.   JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME

Autonomous image localization for visual inspection of civil infrastructure

(2017) C M Yeum et al.   Smart Materials and Structures

A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure

(2015) Christian Koch et al.   ADVANCED ENGINEERING INFORMATICS

Vision-Based Automated Crack Detection for Bridge Inspection

(2015) Chul Min Yeum et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Automated Damage Index Estimation of Reinforced Concrete Columns for Post-Earthquake Evaluations

(2015) Stephanie G. Paal et al.   JOURNAL OF STRUCTURAL ENGINEERING

Deep learning

(2015) Yann LeCun et al.   NATURE

Automated Damage Index Estimation of Reinforced Concrete Columns for Post-Earthquake Evaluations

(2015) Stephanie G. Paal et al.   JOURNAL OF STRUCTURAL ENGINEERING

Automatic Crack Detection and Classification Method for Subway Tunnel Safety Monitoring

(2014) Wenyu Zhang et al.   SENSORS

Vision-based material recognition for automated monitoring of construction progress and generating building information modeling from unordered site image collections

(2013) Andrey Dimitrov et al.   ADVANCED ENGINEERING INFORMATICS

Support-vector-machine-based method for automated steel bridge rust assessment

(2012) Po-Han Chen et al.   AUTOMATION IN CONSTRUCTION

Learning Hierarchical Features for Scene Labeling

(2012) Clement Farabet et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Visual retrieval of concrete crack properties for automated post-earthquake structural safety evaluation

(2011) Zhenhua Zhu et al.   AUTOMATION IN CONSTRUCTION

Concrete Crack Detection by Multiple Sequential Image Filtering

(2011) Takafumi Nishikawa et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Fast crack detection method for large-size concrete surface images using percolation-based image processing

(2009) Tomoyuki Yamaguchi et al.   MACHINE VISION AND APPLICATIONS

Supporting user-oriented analysis for multi-view domain-specific visual languages

(2008) Esther Guerra et al.   INFORMATION AND SOFTWARE TECHNOLOGY

A survey and evaluation of promising approaches for automatic image-based defect detection of bridge structures

(2008) Mohammad R. Jahanshahi et al.   Structure and Infrastructure Engineering