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Byunghyun Kim
Byunghyun Kim
Post Doctoral Researcher, University of Illinois Urbana-Champaign
Verified email at illinois.edu - Homepage
Title
Cited by
Cited by
Year
Automated Vision-Based Detection of Cracks on Concrete Surfaces Using a Deep Learning Technique
B Kim, S Cho
Sensors 18 (10), 3452, 2018
2702018
Image‐based concrete crack assessment using mask and region‐based convolutional neural network
B Kim, S Cho
Structural Control and Health Monitoring 26 (8), e2381, 2019
2312019
Automated crack evaluation of a high‐rise bridge pier using a ring‐type climbing robot
K Jang, YK An, B Kim, S Cho
Computer‐Aided Civil and Infrastructure Engineering 36 (1), 14-29, 2021
862021
Automated Multiple Concrete Damage Detection Using Instance Segmentation Deep Learning Model
B Kim, S Cho
Applied Sciences 10 (22), 8008, 2020
612020
Deep learning-based concrete crack detection using hybrid images
YK An, K Jang, B Kim, S Cho
Sensors and smart structures technologies for civil, mechanical, and …, 2018
242018
A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle
JH Lee, S Yoon, B Kim, GH Gwon, IH Kim, HJ Jung
Smart Struct. Syst 27 (2), 209-226, 2021
142021
A Comparative Study on Performance of Deep Learning Models for Vision-based Concrete Crack Detection according to Model Types
B Kim, G Kim, S Jin, S Cho
Journal of the Korean Society of Safety 34 (6), 50-57, 2019
102019
Efflorescence assessment using hyperspectral imaging for concrete structures
B Kim, S Cho
Smart Structures and Systems, An International Journal 22 (2), 209-221, 2018
72018
Application of deep learning-based crack assessment technique to civil structures
S CHO, B KIM, G KIM
42019
Comparative Study of Lightweight Deep Semantic Segmentation Models for Concrete Damage Detection
M Tanveer, B Kim, J Hong, SH Sim, S Cho
Applied Sciences 12 (24), 12786, 2022
32022
Deep learning-based rapid inspection of concrete structures
B Kim, YI Lee, S Cho
Sensors and Smart Structures Technologies for Civil, Mechanical, and …, 2018
32018
A Study on Concrete Efflorescence Assessment using Hyperspectral Camera
B Kim, D Kim, S Cho
Journal of the Korean Society of Safety 32 (6), 98-103, 2017
32017
Computer vision-based remote displacement monitoring system for in-situ bridge bearings robust to large displacement induced by temperature change
B Kim, J Lee, SH Sim, S Cho, BH Park
SMART STRUCTURES AND SYSTEMS 30 (5), 521-535, 2022
22022
Prediction Model for Long-Term Bridge Bearing Displacement Using Artificial Neural Network and Bayesian Optimization
AT Asad, B Kim, S Cho, SH Sim
Structural Control and Health Monitoring 2023, 2023
12023
Development of Crack Detection System for Highway Tunnels using Imaging Device and Deep Learning
BH Kim, SJ Cho, HJ Chae, HK Kim, JH Kang
Journal of the Korea institute for structural maintenance and inspection 25 …, 2021
12021
Crack Inspection and Mapping of Concrete Bridges using Integrated Image Processing Techniques
B Kim, S Cho
Journal of the Korean Society of Safety 36 (1), 18-25, 2021
2021
A new image-quality evaluating and enhancing methodology for bridge inspection using an unmanned aerial vehicle
HJ Jung, JH Lee, S Yoon, B Kim, GH Gwon, IH Kim
International Association of Structural Engineering And Mechanics, 2021
2021
Hyperspectral Super-Resolution Technique Using Histogram Matching and Endmember Optimization
B Kim, S Cho
Applied Sciences 9 (20), 4444, 2019
2019
Assessment of Concrete Efflorescence based on Hyper-spectral Imaging
B Kim, DM Kim, S Cho
PHM Society Asia-Pacific Conference 1 (1), 2017
2017
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