Pang-jo Chun

According to our database, Pang-jo Chun authored at least 25 papers between 2020 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2026

MPFR: Memory prompt feature reconstruction for continual anomaly detection and segmentation.

Yichi Chen, Xian Tao, Bin Chen, Junjie Wang, Yuan Zhang, Pang-jo Chun, Xianfeng Li, Xinmiao Zhou

Pattern Recognit., 2026

Soil-Adaptive Autonomous Excavation: Bulking Factor-Based Soil Density Estimation and Excavation Path Optimization with a Genetic Algorithm.

Ryosuke Yajima, Shinya Katsuma, Shunsuke Hamasaki, Pang-jo Chun, Keiji Nagatani, Genki Yamauchi, Takeshi Hashimoto, Atsushi Yamashita, Hajime Asama

J. Robotics Mechatronics, 2026

Automated generation of IFC-compliant bridge information models from structured design data.

Yu Chen, Chao Lin, Haitong Sui, Ryota Okauchi, Aya Akita, Pang-jo Chun

J. Inf. Technol. Constr., 2026

2025

A structure-oriented loss function for automated semantic segmentation of bridge point clouds.

Chao Lin, Shuhei Abe, Shitao Zheng, Xianfeng Li, Pang-jo Chun

Comput. Aided Civ. Infrastructure Eng., February, 2025

Infrared thermography and 3D pavement surface unevenness measurement algorithm for damage assessment of concrete bridge decks.

Mikiko Yamashita, Koichi Kawanishi, Kenji Hashizume, Pang-jo Chun

Comput. Aided Civ. Infrastructure Eng., 2025

Domain-adaptive self-supervised learning for corrosion detection and 3D building information model mapping in steel tunnels.

Shreejan Maharjan, Shogo Inadomi, Kenta Itakura, Pang-jo Chun

Comput. Aided Civ. Infrastructure Eng., 2025

Spatially aware Markov chain-based deterioration prediction of bridge components using a Graph Transformer.

Shogo Inadomi, Pang-jo Chun

Comput. Aided Civ. Infrastructure Eng., 2025

Multimodal artificial intelligence approaches using large language models for expert-level landslide image analysis.

Kittitouch Areerob, Van-Quang Nguyen, Xianfeng Li, Shogo Inadomi, Toru Shimada, Hiroyuki Kanasaki, Zhijie Wang, Masanori Suganuma, Keiji Nagatani, Pang-jo Chun, Takayuki Okatani

Comput. Aided Civ. Infrastructure Eng., 2025

2024

Self-training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation.

Pang-jo Chun, Toshiya Kikuta

Comput. Aided Civ. Infrastructure Eng., September, 2024

Development of an action classification method for construction sites combining pose assessment and object proximity evaluation.

Toshiya Kikuta, Pang-jo Chun

J. Ambient Intell. Humaniz. Comput., April, 2024

Improving visual question answering for bridge inspection by pre-training with external data of image-text pairs.

Thannarot Kunlamai, Tatsuro Yamane, Masanori Suganuma, Pang-jo Chun, Takayuki Okatani

Comput. Aided Civ. Infrastructure Eng., February, 2024

Fine-grained crack segmentation for high-resolution images via a multiscale cascaded network.

Honghu Chu, Pang-jo Chun

Comput. Aided Civ. Infrastructure Eng., February, 2024

Implementation of explanatory texts output for bridge damage in a bridge inspection web system.

Pang-jo Chun, Honghu Chu, Kota Shitara, Tatsuro Yamane, Yu Maemura

Adv. Eng. Softw., 2024

2023

Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results.

Tatsuro Yamane, Pang-jo Chun, Ji Dang, Riki Honda

Comput. Aided Civ. Infrastructure Eng., November, 2023

Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground-penetrating radar.

Pang-jo Chun, M. Suzuki, Yugo Kato

Comput. Aided Civ. Infrastructure Eng., November, 2023

ViTALnet: Anomaly on Industrial Textured Surfaces With Hybrid Transformer.

Xian Tao, Chandranath Adak, Pang-jo Chun, Shaohua Yan, Huaping Liu

IEEE Trans. Instrum. Meas., 2023

Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering.

Tatsuro Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani

CoRR, 2023

2022

Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method.

Shiori Kubo, Tatsuro Yamane, Pang-jo Chun

Sensors, 2022

A deep learning-based image captioning method to automatically generate comprehensive explanations of bridge damage.

Pang-jo Chun, Tatsuro Yamane, Yu Maemura

Comput. Aided Civ. Infrastructure Eng., 2022

2021

Automatic detection method of cracks from concrete surface imagery using two-step light gradient boosting machine.

Pang-jo Chun, Shota Izumi, Tatsuro Yamane

Comput. Aided Civ. Infrastructure Eng., 2021

Development of an excavator-avoidance system for buried pipes.

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

Adv. Robotics, 2021

Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach.

Keiji Nagatani, Masato Abe, Koichi Osuka, Pang-jo Chun, Takayuki Okatani, Mayuko Nishio, Shota Chikushi, Takamitsu Matsubara, Yusuke Ikemoto, Hajime Asama

Adv. Robotics, 2021

2020

Development of a Machine Learning-Based Damage Identification Method Using Multi-Point Simultaneous Acceleration Measurement Results.

Pang-jo Chun, Tatsuro Yamane, Shota Izumi, Naoya Kuramoto

Sensors, 2020

Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections.

Pang-jo Chun, Ji Dang, Shunsuke Hamasaki, Ryosuke Yajima, Toshihiro Kameda, Hideki Wada, Tatsuro Yamane, Shota Izumi, Keiji Nagatani

J. Robotics Mechatronics, 2020

Applicability of machine learning to a crack model in concrete bridges.

Yuriko Okazaki, Shinichiro Okazaki, Shingo Asamoto, Pang-jo Chun

Comput. Aided Civ. Infrastructure Eng., 2020