Pang‐jo Chun
- (2024): Self‐training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 17 (17 août 2024).
- (2023): Fine‐grained crack segmentation for high‐resolution images via a multiscale cascaded network. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 4 (novembre 2023).
- (2023): Improving visual question answering for bridge inspection by pre‐training with external data of image–text pairs. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 39, n. 3 (août 2023).
- (2023): Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 17 (novembre 2023).
- (2022): A deep learning‐based image captioning method to automatically generate comprehensive explanations of bridge damage. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 37, n. 11 (août 2022).
- (2021): Automatic detection method of cracks from concrete surface imagery using two‐step light gradient boosting machine. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 36, n. 1 (19 décembre 2021).
- (2020): Applicability of machine learning to a crack model in concrete bridges. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 35, n. 8 (10 juillet 2020).
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