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Seungbo Shim
Observed names:
S. Shim,
Seung-Bo Shim,
SeungBo Shim
Institution:
Korea Institute of Civil Engineering and Building Technology
Observed institutions:
Pohang University of Science and Technology,
Korea Advanced Institute of Science and Technology,
Korea Institute of Civil Engineering and Building Technology
ORCID:
0000-0003-0871-7455
Observed ORCID:
0000-0003-0871-7455
OpenAlex ID:
A5027927700
Road damage detection using super-resolution and semi-supervised learning with generative adversarial network
2022
·
Seungbo Shim
, Jin Kim
, et al.
·
Automation in Construction
·
136
PDF
Road surface damage detection based on hierarchical architecture using lightweight auto-encoder network
2021
·
Seungbo Shim
, Jin Kim
, et al.
·
Automation in Construction
·
69
PDF
Multiscale and Adversarial Learning-Based Semi-Supervised Semantic Segmentation Approach for Crack Detection in Concrete Structures
2020
·
Seungbo Shim
, Jin Kim
, et al.
·
IEEE Access
·
69
PDF
Self‐training approach for crack detection using synthesized crack images based on conditional generative adversarial network
2023
·
Seungbo Shim
·
Computer-Aided Civil and Infrastructure Engineering
·
64
PDF
Remote robotic system for 3D measurement of concrete damage in tunnel with ground vehicle and manipulator
2023
·
Seungbo Shim
, Seong‐Won Lee
, et al.
·
Computer-Aided Civil and Infrastructure Engineering
·
51
Stereo-vision-based 3D concrete crack detection using adversarial learning with balanced ensemble discriminator networks
2022
·
Seungbo Shim
, Jin Kim
, et al.
·
Structural Health Monitoring
·
39
Lightweight Semantic Segmentation for Road-Surface Damage Recognition Based on Multiscale Learning
2020
·
Seungbo Shim
, Gye-Chun Cho
·
IEEE Access
·
32
PDF
Lightweight pixel-wise segmentation for efficient concrete crack detection using hierarchical convolutional neural network
2021
·
Jin Kim
, Seungbo Shim
, et al.
·
Smart Materials and Structures
·
30
Anomaly detection via improvement of GPR image quality using ensemble restoration networks
2024
·
Ngoc Quy Hoang
, Seungbo Shim
, et al.
·
Automation in Construction
·
23
Learning Structure for Concrete Crack Detection Using Robust Super-Resolution with Generative Adversarial Network
2023
·
Jin Kim
, Seungbo Shim
, et al.
·
Structural Control and Health Monitoring
·
23
PDF
Self‐supervised domain adaptive approach for extrapolated crack segmentation with fine‐tuned inpainting generative model
2025
·
Seungbo Shim
·
Computer-Aided Civil and Infrastructure Engineering
·
15
Semantic segmentation for crack detection via generative knowledge distillation
2025
·
Seungbo Shim
·
Automation in Construction
·
13
Road Surface Damage Detection based on Object Recognition using Fast R-CNN
2019
·
Seungbo Shim
, Chanjun Chun
, et al.
·
The Journal of The Korea Institute of Intelligent Transport Systems
·
12
Development on Identification Algorithm of Risk Situation around Construction Vehicle using YOLO-v3
2019
·
Seungbo Shim
, Choi Sang-Il
·
Journal of the Korea Academia-Industrial cooperation Society
·
8
Real Time Image Processing System for Detecting Infrastructure Damage: Crack
2019
·
Sung-Mo Kang
, Chan-Jun Chun
, et al.
·
International Conference on Consumer Electronics
·
5
Development and Evaluation of Automatic Pothole Detection Using Fully Convolutional Neural Networks
2018
·
Chanjun Chun
, Seungbo Shim
, et al.
·
The Journal of The Korea Institute of Intelligent Transport Systems
·
5
Deep Reinforcement Learning for Temperature Control of a Two-Way SMA-Actuated Tendon-Driven Gripper
2026
·
Phuoc Thien Do
, Quang Ngoc Le
, et al.
·
Actuators
·
4
PDF
Evaluation of Leakage Due to Submerged Floating Tunnel Crack and Its Propagation Characteristics
2024
·
Jae-Hyun Kim
, Seungbo Shim
, et al.
·
KSCE Journal of Civil Engineering
·
4
Text localization using valid optical flow for recognition of slab numbers
2010
·
SeungBo Shim
, SungHoo Choi
, et al.
·
International Conference on Control, Automation and Systems (ICCAS)
·
4
Analysis of Stability and Required Offset with Vibration Velocity Considering Conditions of Bedrock and Explosive Charges Using the TBM and NATM Extension Blasting Method
2022
·
Suk-Min Kong
, Ah-Ram Kim
, et al.
·
Applied Sciences
·
3
PDF
Stability Evaluation of TBM Pilot Tunnels to Rear Blasting Using the Protection Shield
2021
·
Suk-Min Kong
, Sang-Il Choi
, et al.
·
Applied Sciences
·
3
Detection Algorithm of Road Surface Damage Using Adversarial Learning
2021
·
Seungbo Shim
·
The Journal of The Korea Institute of Intelligent Transport Systems
·
2
Detection Algorithm of Road Damage and Obstacle Based on Joint Deep Learning for Driving Safety
2021
·
Seungbo Shim
, Jae-Jin Jeong
·
The Journal of The Korea Institute of Intelligent Transport Systems
·
2
Encoder Type Semantic Segmentation Algorithm Using Multi-scale Learning Type for Road Surface Damage Recognition
2020
·
Seungbo Shim
, Young Eun Song
·
The Journal of The Korea Institute of Intelligent Transport Systems
·
2
Fine-tuning of Stable Diffusion Models for Image Data Synthesis on Bicycle Roads
2025
·
Seungbo Shim
, Yuhwa Lee
, et al.
·
The Journal of The Korea Institute of Intelligent Transport Systems
·
1
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Works count:
44
Citation count:
622
H-index:
12
I10-index:
13
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