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Crack segmentation through deep convolutional neural networks and heterogeneous image fusion JOURNAL ARTICLE published May 2021 in Automation in Construction |
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Scanning electron microscopy (SEM) image segmentation for microstructure analysis of concrete using U-net convolutional neural network JOURNAL ARTICLE published December 2022 in Automation in Construction |
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Construction Site Segmentation Using Drone-Based Ortho-Image and Convolutional Encoder-Decoder Network Model PROCEEDINGS ARTICLE published 7 March 2022 in Construction Research Congress 2022 |
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Computer vision-based concrete crack detection using U-net fully convolutional networks JOURNAL ARTICLE published August 2019 in Automation in Construction |
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A crack-segmentation algorithm fusing transformers and convolutional neural networks for complex detection scenarios JOURNAL ARTICLE published August 2023 in Automation in Construction |
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Automatic crack classification and segmentation on masonry surfaces using convolutional neural networks and transfer learning JOURNAL ARTICLE published May 2021 in Automation in Construction |
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Experimental Evaluation of Convolutional Neural Networks in Asphalt Concrete Computed Tomography Scan Image Analysis PROCEEDINGS ARTICLE published 18 March 2024 in Construction Research Congress 2024 |
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Microstructural crack segmentation of three-dimensional concrete images based on deep convolutional neural networks JOURNAL ARTICLE published August 2020 in Construction and Building Materials Research funded by National Natural Science Foundation of China (51579089,51679136) |
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Image segmentation of underfloor scenes using a mask regions convolutional neural network with two-stage transfer learning JOURNAL ARTICLE published May 2020 in Automation in Construction Research funded by Innovate UK (TS/P010954/1) |
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A defect classification methodology for sewer image sets with convolutional neural networks JOURNAL ARTICLE published August 2019 in Automation in Construction Research funded by Technology Innovation for Sewer Condition Assessment (15343) |
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Comparison of deep convolutional neural networks and edge detectors for image-based crack detection in concrete JOURNAL ARTICLE published October 2018 in Construction and Building Materials |
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Automated Steel Bridge Coating Rust Defect Recognition Method Based on U-Net Fully Convolutional Networks PROCEEDINGS ARTICLE published 25 December 2020 in 2020 IEEE 2nd International Conference on Architecture, Construction, Environment and Hydraulics (ICACEH) |
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Automated bughole detection and quality performance assessment of concrete using image processing and deep convolutional neural networks JOURNAL ARTICLE published April 2021 in Construction and Building Materials |
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Image-based concrete crack detection in tunnels using deep fully convolutional networks JOURNAL ARTICLE published February 2020 in Construction and Building Materials Research funded by Chinese National Science and Technology Major Project (2017ZX05008-001) | National Natural Science Foundation of China (41872214) |
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Automatic segmentation of concrete aggregate using convolutional neural network JOURNAL ARTICLE published February 2022 in Automation in Construction Research funded by National Natural Science Foundation of China (51579089) |
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Lightweight convolutional neural network driven by small data for asphalt pavement crack segmentation JOURNAL ARTICLE published February 2024 in Automation in Construction Research funded by China Postdoctoral Science Foundation (2023M731369) |
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Efficiency of convolutional neural networks (CNN) based image classification for monitoring construction related activities: A case study on aggregate mining for concrete production JOURNAL ARTICLE published December 2022 in Case Studies in Construction Materials |
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Automatic sewer pipe defect semantic segmentation based on improved U-Net JOURNAL ARTICLE published November 2020 in Automation in Construction Research funded by Natural Science Foundation of Anhui Province (1908085QE211) | Tianjin Transportation Science and Technology Development Project (2016A-02-01) |
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Application of Graph Convolutional Networks to Classification of Building Code Requirements PROCEEDINGS ARTICLE published 18 March 2024 in Construction Research Congress 2024 |
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Construction activity recognition with convolutional recurrent networks JOURNAL ARTICLE published May 2020 in Automation in Construction Research funded by California State University Transportation Consortium (1852) |