Towards on-site hazards identification of improper use of personal protective equipment using deep learning-based geometric relationships and hierarchical scene graph S Chen, K Demachi Automation in construction 125, 103619, 2021 | 63 | 2021 |
A vision-based approach for ensuring proper use of personal protective equipment (PPE) in decommissioning of Fukushima Daiichi nuclear power station S Chen, K Demachi Applied Sciences 10 (15), 5129, 2020 | 58 | 2020 |
Graph-based linguistic and visual information integration for on-site occupational hazards identification S Chen, K Demachi, F Dong Automation in Construction 137, 104191, 2022 | 30 | 2022 |
Attention-based time series analysis for data-driven anomaly detection in nuclear power plants F Dong, S Chen, K Demachi, M Yoshikawa, A Seki, S Takaya Nuclear Engineering and Design 404, 112161, 2023 | 21 | 2023 |
Proposal of an insider sabotage detection method for nuclear security using deep learning S Chen, K Demachi Journal of Nuclear Science and Technology 56 (7), 599-607, 2019 | 14 | 2019 |
Robust human pose estimation from distorted wide-angle images through iterative search of transformation parameters D Miki, S Abe, S Chen, K Demachi Signal, Image and Video Processing 14, 693-700, 2020 | 11 | 2020 |
Weakly supervised graph convolutional neural network for human action localization D Miki, S Chen, K Demachi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 7 | 2020 |
Robust human motion recognition from wide-angle images for video surveillance in nuclear power plants D Miki, S Abe, S Chen, K Demachi Mechanical Engineering Journal 7 (3), 19-00533-19-00533, 2020 | 6 | 2020 |
Hybrid visual information analysis for on-site occupational hazards identification: a case study on stairway safety S Chen, F Dong, K Demachi Safety science 159, 106043, 2023 | 5 | 2023 |
Cross-task consistency learning framework for multi-task learning A Nakano, S Chen, K Demachi arXiv preprint arXiv:2111.14122, 2021 | 5 | 2021 |
Unnatural human motion detection using weakly supervised deep neural network D Miki, S Chen, K Demachi 2020 Third International Conference on Artificial Intelligence for …, 2020 | 4 | 2020 |
Quater-GCN: Enhancing 3D Human Pose Estimation with Orientation and Semi-supervised Training X Song, Z Li, S Chen, K Demachi arXiv preprint arXiv:2404.19279, 2024 | 3 | 2024 |
Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security Z Li, X Song, S Chen, K Demachi Expert Systems with Applications 236, 121367, 2024 | 3 | 2024 |
A real-time automated approach for ensuring proper use of personal protective equipment (PPE) in construction Site S Chen, K Demachi, M Tsunokai Proceedings of the 18th International Conference on Computing in Civil and …, 2021 | 3 | 2021 |
An Animation-based Augmentation Approach for Action Recognition from Discontinuous Video X Song, Z Li, S Chen, XQ Cai, K Demachi arXiv preprint arXiv:2404.06741, 2024 | 2 | 2024 |
Data, language and graph-based reasoning methods for identification of human malicious behaviors in nuclear security Z Li, X Song, S Chen, K Demachi Language and Graph-Based Reasoning Methods for Identification of Human …, 2023 | 2 | 2023 |
A novel system for automated proper use identification of personal protective equipment in decommissioning site of fukushima daiichi nuclear power station S Chen, K Demachi International Conference on Nuclear Engineering 83778, V002T08A048, 2020 | 2 | 2020 |
Insider malicious behaviors detection and prediction technology for nuclear security S Chen, K Demachi, T Fujita, Y Nakashima, Y Kawasaki EJ Adv Maint 9, 66-71, 2017 | 2 | 2017 |
Abnormal detection in nuclear security videos based on label-specific autoencoders and reconstruction errors comparison Z Li, X Song, C Shi, K Demachi Nuclear Engineering and Technology, 103239, 2024 | 1 | 2024 |
GTAutoAct: An Automatic Datasets Generation Framework Based on Game Engine Redevelopment for Action Recognition X Song, Z Li, S Chen, K Demachi arXiv preprint arXiv:2401.13414, 2024 | 1 | 2024 |