Pang-jo Chun - RankMe

23 papers Journal 23

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	MPFR: Memory prompt feature reconstruction for continual anomaly detection and segmentation. Pattern Recognit. Yichi Chen, Xian Tao, Bin Chen, Junjie Wang, Yuan Zhang, Pang-jo Chun, Xianfeng Li, Xinmiao Zhou
2025	J	`jnl`	A structure-oriented loss function for automated semantic segmentation of bridge point clouds. Comput. Aided Civ. Infrastructure Eng. Chao Lin, Shuhei Abe, Shitao Zheng, Xianfeng Li, Pang-jo Chun
2025	J	`jnl`	Domain-adaptive self-supervised learning for corrosion detection and 3D building information model mapping in steel tunnels. Comput. Aided Civ. Infrastructure Eng. Shreejan Maharjan, Shogo Inadomi, Kenta Itakura, Pang-jo Chun
2025	J	`jnl`	Infrared thermography and 3D pavement surface unevenness measurement algorithm for damage assessment of concrete bridge decks. Comput. Aided Civ. Infrastructure Eng. Mikiko Yamashita, Koichi Kawanishi, Kenji Hashizume, Pang-jo Chun
2025	J	`jnl`	Multimodal artificial intelligence approaches using large language models for expert-level landslide image analysis. Comput. Aided Civ. Infrastructure Eng. Kittitouch Areerob, Van-Quang Nguyen, Xianfeng Li, Shogo Inadomi, Toru Shimada, Hiroyuki Kanasaki, Zhijie Wang, Masanori Suganuma, Keiji Nagatani, Pang-jo Chun, Takayuki Okatani
2025	J	`jnl`	Spatially aware Markov chain-based deterioration prediction of bridge components using a Graph Transformer. Comput. Aided Civ. Infrastructure Eng. Shogo Inadomi, Pang-jo Chun
2024	J	`jnl`	Development of an action classification method for construction sites combining pose assessment and object proximity evaluation. J. Ambient Intell. Humaniz. Comput. Toshiya Kikuta, Pang-jo Chun
2024	J	`jnl`	Fine-grained crack segmentation for high-resolution images via a multiscale cascaded network. Comput. Aided Civ. Infrastructure Eng. Honghu Chu, Pang-jo Chun
2024	J	`jnl`	Implementation of explanatory texts output for bridge damage in a bridge inspection web system. Adv. Eng. Softw. Pang-jo Chun, Honghu Chu, Kota Shitara, Tatsuro Yamane, Yu Maemura
2024	J	`jnl`	Improving visual question answering for bridge inspection by pre-training with external data of image-text pairs. Comput. Aided Civ. Infrastructure Eng. Thannarot Kunlamai, Tatsuro Yamane, Masanori Suganuma, Pang-jo Chun, Takayuki Okatani
2024	J	`jnl`	Self-training with Bayesian neural networks and spatial priors for unsupervised domain adaptation in crack segmentation. Comput. Aided Civ. Infrastructure Eng. Pang-jo Chun, Toshiya Kikuta
2023	J	`jnl`	Bridge Damage Cause Estimation Using Multiple Images Based on Visual Question Answering. CoRR Tatsuro Yamane, Pang-jo Chun, Ji Dang, Takayuki Okatani
2023	J	`jnl`	Iterative application of generative adversarial networks for improved buried pipe detection from images obtained by ground-penetrating radar. Comput. Aided Civ. Infrastructure Eng. Pang-jo Chun, M. Suzuki, Yugo Kato
2023	J	`jnl`	Recording of bridge damage areas by 3D integration of multiple images and reduction of the variability in detected results. Comput. Aided Civ. Infrastructure Eng. Tatsuro Yamane, Pang-jo Chun, Ji Dang, Riki Honda
2023	J	`jnl`	ViTALnet: Anomaly on Industrial Textured Surfaces With Hybrid Transformer. IEEE Trans. Instrum. Meas. Xian Tao, Chandranath Adak, Pang-jo Chun, Shaohua Yan, Huaping Liu
2022	J	`jnl`	A deep learning-based image captioning method to automatically generate comprehensive explanations of bridge damage. Comput. Aided Civ. Infrastructure Eng. Pang-jo Chun, Tatsuro Yamane, Yu Maemura
2022	J	`jnl`	Study on Accuracy Improvement of Slope Failure Region Detection Using Mask R-CNN with Augmentation Method. Sensors Shiori Kubo, Tatsuro Yamane, Pang-jo Chun
2021	J	`jnl`	Automatic detection method of cracks from concrete surface imagery using two-step light gradient boosting machine. Comput. Aided Civ. Infrastructure Eng. Pang-jo Chun, Shota Izumi, Tatsuro Yamane
2021	J	`jnl`	Development of an excavator-avoidance system for buried pipes. Adv. Robotics 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
2021	J	`jnl`	Innovative technologies for infrastructure construction and maintenance through collaborative robots based on an open design approach. Adv. Robotics Keiji Nagatani, Masato Abe, Koichi Osuka, Pang-jo Chun, Takayuki Okatani, Mayuko Nishio, Shota Chikushi, Takamitsu Matsubara, Yusuke Ikemoto, Hajime Asama
2020	J	`jnl`	Applicability of machine learning to a crack model in concrete bridges. Comput. Aided Civ. Infrastructure Eng. Yuriko Okazaki, Shinichiro Okazaki, Shingo Asamoto, Pang-jo Chun
2020	J	`jnl`	Development of a Machine Learning-Based Damage Identification Method Using Multi-Point Simultaneous Acceleration Measurement Results. Sensors Pang-jo Chun, Tatsuro Yamane, Shota Izumi, Naoya Kuramoto
2020	J	`jnl`	Utilization of Unmanned Aerial Vehicle, Artificial Intelligence, and Remote Measurement Technology for Bridge Inspections. J. Robotics Mechatronics Pang-jo Chun, Ji Dang, Shunsuke Hamasaki, Ryosuke Yajima, Toshihiro Kameda, Hideki Wada, Tatsuro Yamane, Shota Izumi, Keiji Nagatani