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La bibliographie suivante contient toutes les publications répertoriées dans la base de données qui sont reliées à ce nom en tant qu'auteur, éditeur ou collaborateur.

  1. Chern, Wei-Chih / Kim, Taegeon / Asari, Vijayan K. / Kim, Hongjo (2024): Image hashing-based shallow object tracker for construction worker monitoring in scaffolding scenes. Dans: Automation in Construction, v. 166 (octobre 2024).

    https://doi.org/10.1016/j.autcon.2024.105604

  2. Uhm, Miyoung / Shin, Giwon / Kim, Hyoungkwan / David Jeong, H. / Kim, Hongjo (2024): Exploring the Long-Term Impact of Preventive Road Treatments on Municipal Highways. Dans: Journal of Management in Engineering (ASCE), v. 40, n. 4 (juillet 2024).

    https://doi.org/10.1061/jmenea.meeng-5885

  3. Chern, Wei-Chih / Kim, Taegeon / Nguyen, Tam V. / Asari, Vijayan K. / Kim, Hongjo (2023): Self-supervised sub-category exploration for Pseudo label generation. Dans: Automation in Construction, v. 151 (juillet 2023).

    https://doi.org/10.1016/j.autcon.2023.104862

  4. Hong, Yeji / Chern, Wei-Chih / Nguyen, Tam V. / Cai, Hubo / Kim, Hongjo (2023): Semi-supervised domain adaptation for segmentation models on different monitoring settings. Dans: Automation in Construction, v. 149 (mai 2023).

    https://doi.org/10.1016/j.autcon.2023.104773

  5. Chern, Wei-Chih / Hyeon, Jeongho / Nguyen, Tam V. / Asari, Vijayan K. / Kim, Hongjo (2023): Context-aware safety assessment system for far-field monitoring. Dans: Automation in Construction, v. 149 (mai 2023).

    https://doi.org/10.1016/j.autcon.2023.104779

  6. Chern, Wei‐Chih / Nguyen, Tam V. / Asari, Vijayan K. / Kim, Hongjo (2023): Impact of loss functions on semantic segmentation in far‐field monitoring. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 38, n. 3 (février 2023).

    https://doi.org/10.1111/mice.12832

  7. Hong, Yeji / Park, Somin / Kim, Hongjo / Kim, Hyoungkwan (2021): Synthetic data generation using building information models. Dans: Automation in Construction, v. 130 (octobre 2021).

    https://doi.org/10.1016/j.autcon.2021.103871

  8. Jeong, Hoyoung / Kim, Hongjo / Kim, Kyeongseok / Kim, Hyoungkwan (2017): Prediction of Flexible Pavement Deterioration in Relation to Climate Change Using Fuzzy Logic. Dans: Journal of Infrastructure Systems, v. 23, n. 4 (décembre 2017).

    https://doi.org/10.1061/(asce)is.1943-555x.0000363

  9. Kim, Hongjo / Ham, Youngjib (2021): Increasing Reliability of Participatory Sensing for Utility Pole Condition Assessment Using Fuzzy Inference. Dans: Journal of Construction Engineering and Management, v. 147, n. 1 (janvier 2021).

    https://doi.org/10.1061/(asce)co.1943-7862.0001968

  10. Bang, Seongdeok / Park, Somin / Kim, Hongjo / Kim, Hyoungkwan (2019): Encoder–decoder network for pixel‐level road crack detection in black‐box images. Dans: Computer-Aided Civil and Infrastructure Engineering, v. 34, n. 8 (mars 2019).

    https://doi.org/10.1111/mice.12440

  11. Ha, Inhae / Kim, Hongjo / Park, Somin / Kim, Hyoungkwan (2018): Image retrieval using BIM and features from pretrained VGG network for indoor localization. Dans: Building and Environment, v. 140 (août 2018).

    https://doi.org/10.1016/j.buildenv.2018.05.026

  12. Kim, Hongjo / Ham, Youngjib (2019): Participatory sensing-based geospatial localization of distant objects for disaster preparedness in urban built environments. Dans: Automation in Construction, v. 107 (novembre 2019).

    https://doi.org/10.1016/j.autcon.2019.102960

  13. Kim, Hongjo / Ham, Youngjib / Kim, Wontae / Park, Somin / Kim, Hyoungkwan (2019): Vision-based nonintrusive context documentation for earthmoving productivity simulation. Dans: Automation in Construction, v. 102 (juin 2019).

    https://doi.org/10.1016/j.autcon.2019.02.006

  14. Park, Somin / Bang, Seongdeok / Kim, Hongjo / Kim, Hyoungkwan (2019): Patch-Based Crack Detection in Black Box Images Using Convolutional Neural Networks. Dans: Journal of Computing in Civil Engineering, v. 33, n. 3 (mai 2019).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000831

  15. Kim, Hongjo / Kim, Hyoungkwan / Hong, Yong Won / Byun, Hyeran (2018): Detecting Construction Equipment Using a Region-Based Fully Convolutional Network and Transfer Learning. Dans: Journal of Computing in Civil Engineering, v. 32, n. 2 (mars 2018).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000731

  16. Kim, Hongjo / Kim, Kinam / Kim, Hyoungkwan (2016): Vision-Based Object-Centric Safety Assessment Using Fuzzy Inference: Monitoring Struck-By Accidents with Moving Objects. Dans: Journal of Computing in Civil Engineering, v. 30, n. 4 (juillet 2016).

    https://doi.org/10.1061/(asce)cp.1943-5487.0000562

  17. Kim, Byungil / Kim, Hongjo / Kim, Hyoungkwan (2016): A framework for pricing the loss of regulating ecosystem services caused by road construction. Dans: KSCE Journal of Civil Engineering, v. 20, n. 7 (janvier 2016).

    https://doi.org/10.1007/s12205-015-0762-9

  18. Kim, Kinam / Kim, Hongjo / Kim, Hyoungkwan (2017): Image-based construction hazard avoidance system using augmented reality in wearable device. Dans: Automation in Construction, v. 83 (novembre 2017).

    https://doi.org/10.1016/j.autcon.2017.06.014

  19. Bang, Seongdeok / Kim, Hongjo / Kim, Hyoungkwan (2017): UAV-based automatic generation of high-resolution panorama at a construction site with a focus on preprocessing for image stitching. Dans: Automation in Construction, v. 84 (décembre 2017).

    https://doi.org/10.1016/j.autcon.2017.08.031

  20. Kim, Hongjo / Kim, Kinam / Kim, Hyoungkwan (2016): Data-driven scene parsing method for recognizing construction site objects in the whole image. Dans: Automation in Construction, v. 71 (novembre 2016).

    https://doi.org/10.1016/j.autcon.2016.08.018

  21. Kim, Hongjo / Kim, Hyoungkwan (2018): 3D reconstruction of a concrete mixer truck for training object detectors. Dans: Automation in Construction, v. 88 (avril 2018).

    https://doi.org/10.1016/j.autcon.2017.12.034

  22. Kim, Hongjo / Bang, Seongdeok / Jeong, Hoyoung / Ham, Youngjib / Kim, Hyoungkwan (2018): Analyzing context and productivity of tunnel earthmoving processes using imaging and simulation. Dans: Automation in Construction, v. 92 (août 2018).

    https://doi.org/10.1016/j.autcon.2018.04.002

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