Pang-jo Chun

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 16

Top Topics

Multiple Images

Question Answering

Top Venues

Comput. Aided Civ. Infrastructure Eng.

Publications

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 (2024)
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) (2024)
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) (2024)
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) (2024)
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) (2023)
Tatsuro Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani
Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering. CoRR (2023)
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 (2023)
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) (2023)
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) (2022)
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) (2022)
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) (2021)
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) (2021)
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) (2021)
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) (2020)
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) (2020)
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) (2020)