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2020 – today
- 2024
[j16]Pang-jo Chun, Honghu Chu, Kota Shitara, Tatsuro Yamane, Yu Maemura:
Implementation of explanatory texts output for bridge damage in a bridge inspection web system. Adv. Eng. Softw. 195: 103706 (2024)- [j15]Thannarot Kunlamai, Tatsuro Yamane, Masanori Suganuma, Pang-jo Chun, Takayuki Okatani:
Improving visual question answering for bridge inspection by pre-training with external data of image-text pairs. Comput. Aided Civ. Infrastructure Eng. 39(3): 345-361 (2024) - [j14]Honghu Chu, Pang-jo Chun:
Fine-grained crack segmentation for high-resolution images via a multiscale cascaded network. Comput. Aided Civ. Infrastructure Eng. 39(4): 575-594 (2024) - [j13]Pang-jo Chun, Toshiya Kikuta:
Self-training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation. Comput. Aided Civ. Infrastructure Eng. 39(17): 2642-2661 (2024) - [j12]Toshiya Kikuta, Pang-jo Chun
:
Development of an action classification method for construction sites combining pose assessment and object proximity evaluation. J. Ambient Intell. Humaniz. Comput. 15(4): 2255-2267 (2024) - 2023
- [j11]Tatsuro Yamane, Pang-jo Chun, Ji Dang, Riki Honda:
Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results. Comput. Aided Civ. Infrastructure Eng. 38(17): 2391-2407 (2023) - [j10]Pang-jo Chun, M. Suzuki, Y. Kato:
Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground-penetrating radar. Comput. Aided Civ. Infrastructure Eng. 38(17): 2472-2490 (2023) - [j9]Xian Tao, Chandranath Adak, Pang-jo Chun, Shaohua Yan, Huaping Liu:
ViTALnet: Anomaly on Industrial Textured Surfaces With Hybrid Transformer. IEEE Trans. Instrum. Meas. 72: 1-13 (2023) - [i1]Tatsuro Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani:
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering. CoRR abs/2302.09208 (2023) - 2022
- [j8]Pang-jo Chun, Tatsuro Yamane, Yu Maemura:
A deep learning-based image captioning method to automatically generate comprehensive explanations of bridge damage. Comput. Aided Civ. Infrastructure Eng. 37(11): 1387-1401 (2022) - [j7]Shiori Kubo, Tatsuro Yamane, Pang-jo Chun:
Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method. Sensors 22(17): 6412 (2022) - 2021
- [j6]Keiji Nagatani, Masato Abe, Koichi Osuka, Pang-jo Chun, Takayuki Okatani, Mayuko Nishio, Shota Chikushi, Takamitsu Matsubara, Yusuke Ikemoto, Hajime Asama:
Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach. Adv. Robotics 35(11): 715-722 (2021) - [j5]Ryosuke Yajima, Shinya Katsuma, Makoto Suzuki, Fumiya Matsushita, Shunsuke Hamasaki, Pang-jo Chun, Keiji Nagatani, Genki Yamauchi, Takeshi Hashimoto, Atsushi Yamashita, Hajime Asama, Kazumasa Ozawa:
Development of an excavator-avoidance system for buried pipes. Adv. Robotics 35(23): 1468-1483 (2021) - [j4]Pang-jo Chun, Shota Izumi, Tatsuro Yamane:
Automatic detection method of cracks from concrete surface imagery using two-step light gradient boosting machine. Comput. Aided Civ. Infrastructure Eng. 36(1): 61-72 (2021) - 2020
- [j3]Yuriko Okazaki, Shinichiro Okazaki, Shingo Asamoto, Pang-jo Chun:
Applicability of machine learning to a crack model in concrete bridges. Comput. Aided Civ. Infrastructure Eng. 35(8): 775-792 (2020) - [j2]Pang-jo Chun, Ji Dang, Shunsuke Hamasaki, Ryosuke Yajima, Toshihiro Kameda, Hideki Wada, Tatsuro Yamane, Shota Izumi, Keiji Nagatani:
Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections. J. Robotics Mechatronics 32(6): 1244-1258 (2020) - [j1]Pang-jo Chun, Tatsuro Yamane, Shota Izumi, Naoya Kuramoto:
Development of a Machine Learning-Based Damage Identification Method Using Multi-Point Simultaneous Acceleration Measurement Results. Sensors 20(10): 2780 (2020)
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