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Seung-Bo Shim

Seungbo Shim

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2020 – today

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2024
[j4]
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Seungbo Shim:
Self-training approach for crack detection using synthesized crack images based on conditional generative adversarial network. Comput. Aided Civ. Infrastructure Eng. 39(7): 1019-1041 (2024)
2023
[j3]
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Seung-Bo Shim, Seong-Won Lee, Gye-Chun Cho, Jin Kim, Sung-Mo Kang:
Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator. Comput. Aided Civ. Infrastructure Eng. 38(15): 2180-2201 (2023)
2020
[j2]
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Seung-Bo Shim, Gye-Chun Cho:
Lightweight Semantic Segmentation for Road-Surface Damage Recognition Based on Multiscale Learning. IEEE Access 8: 102680-102690 (2020)
[j1]
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Seung-Bo Shim, Jin Kim, Gye-Chun Cho, Seong-Won Lee:
Multiscale and Adversarial Learning-Based Semi-Supervised Semantic Segmentation Approach for Crack Detection in Concrete Structures. IEEE Access 8: 170939-170950 (2020)

2010 – 2019

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2019
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Sung-Mo Kang, Chan-Jun Chun, Seung-Bo Shim, Seung-Ki Ryu, Jong-Dae Baek:
Real Time Image Processing System for Detecting Infrastructure Damage: Crack. ICCE 2019: 1-3

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