Interaction analysis for vision-based activity identification of earthmoving excavators and dump trucks J Kim, S Chi, J Seo Automation in Construction 87, 297-308, 2018 | 158 | 2018 |
Action recognition of earthmoving excavators based on sequential pattern analysis of visual features and operation cycles J Kim, S Chi Automation in Construction 104, 255-264, 2019 | 141 | 2019 |
Quantifying the Dynamic Effects of Smart City Development Enablers Using Structural Equation Modeling C Nicolas, J Kim, S Chi Sustainable Cities and Society 53, 101916, 2020 | 94 | 2020 |
Multi-camera vision-based productivity monitoring of earthmoving operations J Kim, S Chi Automation in Construction 112, 103121, 2020 | 81 | 2020 |
Towards database-free vision-based monitoring on construction sites: A deep active learning approach J Kim, J Hwang, S Chi, JO Seo Automation in Construction 120, 103376, 2020 | 72 | 2020 |
Natural language processing-based characterization of top-down communication in smart cities for enhancing citizen alignment C Nicolas, J Kim, S Chi Sustainable Cities and Society, 102674, 2021 | 65 | 2021 |
Systematic camera placement framework for operation-level visual monitoring on construction jobsites J Kim, Y Ham, Y Chung, S Chi Journal of Construction Engineering and Management 145 (4), 04019019, 2019 | 53 | 2019 |
Adaptive detector and tracker on construction sites using functional integration and online learning J Kim, S Chi Journal of Computing in Civil Engineering 31 (5), 04017026, 2017 | 53 | 2017 |
Occupant behavior monitoring and emergency event detection in single-person households using deep learning-based sound recognition J Kim, K Min, M Jung, S Chi Building and Environment 181, 107092, 2020 | 48 | 2020 |
A few-shot learning approach for database-free vision-based monitoring on construction sites J Kim, S Chi Automation in Construction 124, 103566, 2021 | 34 | 2021 |
Development of training image database using web crawling for vision-based site monitoring J Hwang, J Kim, S Chi, JO Seo Automation in Construction 135, 104141, 2022 | 26 | 2022 |
Visual Analytics for Operation-Level Construction Monitoring and Documentation: State-of-the-Art Technologies, Research Challenges, and Future Directions J Kim Frontiers in Built Environment 6, 575738, 2020 | 23 | 2020 |
A Preliminary Study on Disaster Waste Detection and Volume Estimation Based on 3D Spatial Information HT Yoo, H Lee, S Chi, BG Hwang, J Kim Computing in Civil Engineering 2017, 428-435, 2017 | 21 | 2017 |
Hybrid kinematic–visual sensing approach for activity recognition of construction equipment J Kim, S Chi, CR Ahn Journal of Building Engineering 44, 102709, 2021 | 20 | 2021 |
Sequential pattern learning of visual features and operation cycles for vision-based action recognition of earthmoving excavators J Kim, S Chi, M Choi ASCE International Conference on Computing in Civil Engineering 2019, 298-304, 2019 | 20 | 2019 |
Graph neural network-based propagation effects modeling for detecting visual relationships among construction resources J Kim, S Chi Automation in Construction 141, 104443, 2022 | 15 | 2022 |
Vision-Based Activity Analysis Framework Considering Interactive Operation of Construction Equipment J Kim, S Chi, BG Hwang Computing in Civil Engineering 2017, 162-170, 2017 | 14 | 2017 |
Camera Placement Optimization for Vision-based Monitoring on Construction Sites J Kim, Y Ham, Y Chung, S Chi 2018 Proceedings of the 35th ISARC, 739-743, 2018 | 12 | 2018 |
Hybrid DNN training using both synthetic and real construction images to overcome training data shortage J Kim, D Kim, SH Lee, S Chi Automation in Construction 149, 104771, 2023 | 11 | 2023 |
Understanding the influences of urban-specific contexts for smart city development using structural equation modeling C Nicolas, J Kim, S Chi Journal of Urban Planning and Development 147 (2), 04021010, 2021 | 11 | 2021 |