| 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 |
| Attention-based multimodal image feature fusion module for transmission line detection H Choi, JP Yun, BJ Kim, H Jang, SW Kim IEEE Transactions on Industrial Informatics 18 (11), 7686-7695, 2022 | 26 | 2022 |
| Weakly supervised power line detection algorithm using a recursive noisy label update with refined broken line segments H Choi, G Koo, BJ Kim, SW Kim Expert Systems with Applications 165, 113895, 2021 | 25 | 2021 |
| Dead pixel test using effective receptive field BJ Kim, H Choi, H Jang, DG Lee, W Jeong, SW Kim Pattern Recognition Letters 167, 149-156, 2023 | 21 | 2023 |
| 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 |
| Real-time Power Line Detection Network using Visible Light and Infrared Images H Choi, G Koo, BJ Kim, SW Kim 2019 International Conference on Image and Vision Computing New Zealand …, 2019 | 14 | 2019 |
| 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 | 12 | 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 |
| Unified deep neural networks for end-to-end recognition of multi-oriented billet identification number G Koo, JP Yun, H Choi, SW Kim Expert Systems with Applications 168, 114377, 2021 | 9 | 2021 |
| Improved robustness of vision transformers via prelayernorm in patch embedding BJ Kim, H Choi, H Jang, DG Lee, W Jeong, SW Kim Pattern Recognition 141, 109659, 2023 | 7 | 2023 |
| Extending class activation mapping using gaussian receptive field BJ Kim, G Koo, H Choi, SW Kim Computer Vision and Image Understanding 231, 103663, 2023 | 7 | 2023 |
| Deep learning synthesis of cone-beam computed tomography from zero echo time magnetic resonance imaging H Choi, JP Yun, A Lee, SS Han, SW Kim, C Lee Scientific Reports 13 (1), 6031, 2023 | 5 | 2023 |
| Localization of slab identification numbers using deep learning SJ Lee, J Ban, H Choi, SW Kim 2016 16th International Conference on Control, Automation and Systems (ICCAS …, 2016 | 4 | 2016 |
| Guidelines for the regularization of gammas in batch normalization for deep residual networks BJ Kim, H Choi, H Jang, SW Kim ACM Transactions on Intelligent Systems and Technology 15 (3), 1-20, 2024 | 3 | 2024 |
| Smooth momentum: improving lipschitzness in gradient descent BJ Kim, H Choi, H Jang, SW Kim Applied Intelligence 53 (11), 14233-14248, 2023 | 2 | 2023 |
| Automated Brittle Fracture Rate Estimator for Steel Property Evaluation Using Deep Learning After Drop-Weight Tear Test G Koo, C Shin, H Choi, JH Lee, SW Kim, JP Yun IEEE Access 7, 145095-145103, 2019 | 2 | 2019 |
| How to use dropout correctly on residual networks with batch normalization BJ Kim, H Choi, H Jang, D Lee, SW Kim Uncertainty in Artificial Intelligence, 1058-1067, 2023 | 1 | 2023 |
| Understanding Gaussian Attention Bias of Vision Transformers Using Effective Receptive Fields BJ Kim, H Choi, H Jang, SW Kim arXiv preprint arXiv:2305.04722, 2023 | 1 | 2023 |
| Adapting Masking Network for Bloom Identification Number Recognition to Different Domains W Jeong, H Choi, BJ Kim, H Jang, DG Lee, D Lee, SW Kim 2022 22nd International Conference on Control, Automation and Systems (ICCAS …, 2022 | 1 | 2022 |
| On the ideal number of groups for isometric gradient propagation BJ Kim, H Choi, H Jang, SW Kim Neurocomputing 573, 127217, 2024 | | 2024 |
Sang Woo KimProfessor, Electrical Engineering, POSTECHVerified email at postech.ac.kr
