Automated defect inspection system for metal surfaces based on deep learning and data augmentation JP Yun, WC Shin, G Koo, MS Kim, C Lee, SJ Lee Journal of Manufacturing Systems 55, 317-324, 2020 | 191 | 2020 |
Defect detection for corner cracks in steel billets using a wavelet reconstruction method YJ Jeon, D Choi, SJ Lee, JP Yun, SW Kim JOSA A 31 (2), 227-237, 2014 | 70 | 2014 |
Steel-surface defect detection using a switching-lighting scheme YJ Jeon, D Choi, SJ Lee, JP Yun, SW Kim Applied optics 55 (1), 47-57, 2016 | 52 | 2016 |
Vision-based surface defect inspection for thick steel plates JP Yun, D Kim, KH Kim, SJ Lee, CH Park, SW Kim Optical Engineering 56 (5), 053108-053108, 2017 | 46 | 2017 |
QRS detection method based on fully convolutional networks for capacitive electrocardiogram JS Lee, SJ Lee, M Choi, M Seo, SW Kim Expert Systems with Applications 134, 66-78, 2019 | 43 | 2019 |
Algorithm for detecting seam cracks in steel plates using a Gabor filter combination method DC Choi, YJ Jeon, SJ Lee, JP Yun, SW Kim Applied optics 53 (22), 4865-4872, 2014 | 43 | 2014 |
Weaving laser vision system for navigation of mobile robots in pipeline structures SH Kim, SJ Lee, SW Kim IEEE Sensors Journal 18 (6), 2585-2591, 2018 | 29 | 2018 |
Weakly supervised learning with convolutional neural networks for power line localization SJ Lee, JP Yun, H Choi, W Kwon, G Koo, SW Kim 2017 IEEE Symposium Series on Computational Intelligence (SSCI), 1-8, 2017 | 29 | 2017 |
End-to-end recognition of slab identification numbers using a deep convolutional neural network SJ Lee, JP Yun, G Koo, SW Kim Knowledge-Based Systems 132, 1-10, 2017 | 24 | 2017 |
Localization of the slab information in factory scenes using deep convolutional neural networks SJ Lee, SW Kim Expert Systems with Applications 77, 34-43, 2017 | 20 | 2017 |
Detection of scarfing faults on the edges of slabs SG Ryu, D Choi, YJ Jeon, SJ Lee, JP Yun, SW Kim Isij International 54 (1), 112-118, 2014 | 18 | 2014 |
Recognition of Slab Identification Numbers Using a Fully Convolutional Network SJ Lee, W Kwon, G Koo, H Choi, SW Kim ISIJ International 58 (4), 696-703, 2018 | 15 | 2018 |
Recognition of slab identification numbers using a deep convolutional neural network SJ Lee, SW Kim 2016 15th IEEE International Conference on Machine Learning and Applications …, 2016 | 14 | 2016 |
End-to-end billet identification number recognition system G Koo, JP Yun, SJ Lee, H Choi, SW Kim ISIJ International 59 (1), 98-103, 2019 | 13 | 2019 |
Automatic defect inspection system for steel products with exhaustive dynamic encoding algorithm for searches JP Yun, SJ Lee, G Koo, C Shin, CH Park Optical Engineering 58 (2), 023107-023107, 2019 | 12 | 2019 |
Classifying scratch defects on billets using image processing and SVM SJ Lee, SW Kim Journal of Institute of Control, Robotics and Systems 19 (3), 256-261, 2013 | 12 | 2013 |
DIANA: A deep learning-based paprika plant disease and pest phenotyping system with disease severity analysis T Ilyas, H Jin, MI Siddique, SJ Lee, H Kim, L Chua Frontiers in Plant Science 13, 983625, 2022 | 11 | 2022 |
Selective Distillation of Weakly Annotated GTD for Vision-Based Slab Identification System SJ Lee, SW Kim, W Kwon, G Koo, JP Yun IEEE Access 7, 23177-23186, 2019 | 10 | 2019 |
Transfer learning of a deep convolutional neural network for localizing handwritten slab identification numbers SJ Lee, G Koo, H Choi, SW Kim 2017 Fifteenth IAPR International Conference on Machine Vision Applications …, 2017 | 10 | 2017 |
LSTC-rPPG: Long Short-Term Convolutional Network for Remote Photoplethysmography JS Lee, G Hwang, M Ryu, SJ Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 9 | 2023 |