Hyeonjoon Moon
- Attention‐guided multiscale neural network for defect detection in sewer pipelines. In: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 15 (April 2023). (2023):
- Lightweight pixel-level semantic segmentation and analysis for sewer defects using deep learning. In: Construction and Building Materials, v. 371 (March 2023). (2023):
- Deep learning-based masonry crack segmentation and real-life crack length measurement. In: Construction and Building Materials, v. 359 (December 2022). (2022):
- Automatic tunnel lining crack evaluation and measurement using deep learning. In: Tunnelling and Underground Space Technology, v. 124 (June 2022). (2022):
- DefectTR: End-to-end defect detection for sewage networks using a transformer. In: Construction and Building Materials, v. 325 (March 2022). (2022):
- Underground sewer pipe condition assessment based on convolutional neural networks. In: Automation in Construction, v. 106 (October 2019). (2019):