Automatic defogging, deblurring, and real-time segmentation system for sewer pipeline defects

A robust instance segmentation framework for underground sewer defect detection

(2022) Yanfen Li et al.   MEASUREMENT

Machine learning techniques for pavement condition evaluation

(2022) Nima Sholevar et al.   AUTOMATION IN CONSTRUCTION

Automated decision making in highway pavement preventive maintenance based on deep learning

(2022) Jiale Li et al.   AUTOMATION IN CONSTRUCTION

Automated asphalt pavement damage rate detection based on optimized GA-CNN

(2022) Jiale Li et al.   AUTOMATION IN CONSTRUCTION

A framework for synthetic image generation and augmentation for improving automatic sewer pipe defect detection

(2022) ChunFai Siu et al.   AUTOMATION IN CONSTRUCTION

Automatic detection method of tunnel lining multi‐defects via an enhanced You Only Look Once network

(2022) Zhong Zhou et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Attention Module Magnetic Flux Leakage Linked Deep Residual Network for Pipeline In-Line Inspection

(2022) Shucong Liu et al.   SENSORS

Automatic sewer defect detection and severity quantification based on pixel-level semantic segmentation

(2022) Qianqian Zhou et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

EmNet: a deep integrated convolutional neural network for facial emotion recognition in the wild

(2021) Sumeet Saurav et al.   APPLIED INTELLIGENCE

Towards an automated condition assessment framework of underground sewer pipes based on closed-circuit television (CCTV) images

(2021) Mingzhu Wang et al.   TUNNELLING AND UNDERGROUND SPACE TECHNOLOGY

Evaluation-oriented façade defects detection using rule-based deep learning method

(2021) Jingjing Guo et al.   AUTOMATION IN CONSTRUCTION

A Multi-defect detection system for sewer pipelines based on StyleGAN-SDM and fusion CNN

(2021) Duo Ma et al.   CONSTRUCTION AND BUILDING MATERIALS

Deep Learning Inference Parallelization on Heterogeneous Processors With TensorRT

(2021) EunJin Jeong et al.   IEEE Embedded Systems Letters

Leakage detection in water pipelines using supervised classification of acceleration signals

(2020) Harshit Shukla et al.   AUTOMATION IN CONSTRUCTION

Improved Dark Channel Defogging Algorithm for Defect Detection in Underwater Structures

(2020) Longsheng Bao et al.   Advances in Materials Science and Engineering

Automated sewer pipe defect tracking in CCTV videos based on defect detection and metric learning

(2020) Mingzhu Wang et al.   AUTOMATION IN CONSTRUCTION

Synthetic data augmentation for surface defect detection and classification using deep learning

(2020) Saksham Jain et al.   JOURNAL OF INTELLIGENT MANUFACTURING

Minor class-based status detection for pipeline network using enhanced generative adversarial networks

(2020) Xuguang Hu et al.   NEUROCOMPUTING

Insufficient Data Generative Model for Pipeline Network Leak Detection Using Generative Adversarial Networks

(2020) Huaguang Zhang et al.   IEEE Transactions on Cybernetics

Sewer damage detection from imbalanced CCTV inspection data using deep convolutional neural networks with hierarchical classification

(2019) Duanshun Li et al.   AUTOMATION IN CONSTRUCTION

A unified convolutional neural network integrated with conditional random field for pipe defect segmentation

(2019) Mingzhu Wang et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

Deep leaf‐bootstrapping generative adversarial network for structural image data augmentation

(2019) Yuqing Gao et al.   COMPUTER-AIDED CIVIL AND INFRASTRUCTURE ENGINEERING

A defect classification methodology for sewer image sets with convolutional neural networks

(2019) Dirk Meijer et al.   AUTOMATION IN CONSTRUCTION

Underground sewer pipe condition assessment based on convolutional neural networks

(2019) Syed Ibrahim Hassan et al.   AUTOMATION IN CONSTRUCTION

Deep-Learning-Based Small Surface Defect Detection via an Exaggerated Local Variation-Based Generative Adversarial Network

(2019) Jian Lian et al.   IEEE Transactions on Industrial Informatics

Deep Learning–Based Automated Detection of Sewer Defects in CCTV Videos

(2019) Srinath Shiv Kumar et al.   JOURNAL OF COMPUTING IN CIVIL ENGINEERING

Deblurring streak image of streak tube imaging lidar using Wiener deconvolution filter

(2019) Tong Luo et al.   OPTICS EXPRESS

Feature Pyramid and Hierarchical Boosting Network for Pavement Crack Detection

(2019) Fan Yang et al.   IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS

Automated defect classification in sewer closed circuit television inspections using deep convolutional neural networks

(2018) Srinath S. Kumar et al.   AUTOMATION IN CONSTRUCTION

Semantic Foggy Scene Understanding with Synthetic Data

(2018) Christos Sakaridis et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION

Automated detection of faults in sewers using CCTV image sequences

(2018) Joshua Myrans et al.   AUTOMATION IN CONSTRUCTION

Automated detection of sewer pipe defects in closed-circuit television images using deep learning techniques

(2018) Jack C.P. Cheng et al.   AUTOMATION IN CONSTRUCTION

Benchmarking Single-Image Dehazing and Beyond

(2018) Boyi Li et al.   IEEE TRANSACTIONS ON IMAGE PROCESSING

Deblurring Images via Dark Channel Prior

(2017) Jinshan Pan et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Blind deblurring from single motion image based on adaptive weighted total variation algorithm

(2016) Jia Wen et al.   IET Signal Processing

Automated defect detection in sewer closed circuit television images using histograms of oriented gradients and support vector machine

(2013) Mahmoud R. Halfawy et al.   AUTOMATION IN CONSTRUCTION

Morphological segmentation based on edge detection for sewer pipe defects on CCTV images

(2011) Tung-Ching Su et al.   EXPERT SYSTEMS WITH APPLICATIONS

LabelMe: Online Image Annotation and Applications

(2010) Antonio Torralba et al.   PROCEEDINGS OF THE IEEE

Automated defect detection for sewer pipeline inspection and condition assessment

(2009) W. Guo et al.   AUTOMATION IN CONSTRUCTION

The Pascal Visual Object Classes (VOC) Challenge

(2009) Mark Everingham et al.   INTERNATIONAL JOURNAL OF COMPUTER VISION