| Pepsi: Fast image inpainting with parallel decoding network M Sagong, Y Shin, S Kim, S Park, S Ko Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 148 | 2019 |
| Pepsi++: Fast and lightweight network for image inpainting YG Shin, MC Sagong, YJ Yeo, SW Kim, SJ Ko IEEE transactions on neural networks and learning systems 32 (1), 252-265, 2020 | 120 | 2020 |
| Unsupervised deep contrast enhancement with power constraint for OLED displays YG Shin, S Park, YJ Yeo, MJ Yoo, SJ Ko IEEE Transactions on Image Processing 29, 2834-2844, 2019 | 31* | 2019 |
| Simple Yet Effective Way for Improving the Performance of GAN YJ Yeo, YG Shin, S Park, SJ Ko IEEE Transactions on Neural Networks and Learning Systems, 2021 | 26 | 2021 |
| Fast and accurate 3D hand pose estimation via recurrent neural network for capturing hand articulations CH Yoo, S Ji, YG Shin, SW Kim, SJ Ko IEEE Access 8, 114010-114019, 2020 | 22* | 2020 |
| Deep fashion recommendation system with style feature decomposition YG Shin, YJ Yeo, MC Sagong, SW Ji, SJ Ko 2019 IEEE 9th International Conference on Consumer Electronics (ICCE-Berlin …, 2019 | 22 | 2019 |
| A novel single IR light based gaze estimation method using virtual glints YG Shin, KA Choi, ST Kim, SJ Ko IEEE Transactions on Consumer Electronics 61 (2), 254-260, 2015 | 18 | 2015 |
| A novel 2-D mapping-based remote eye gaze tracking method using two IR light sources YG Shin, KA Choi, ST Kim, CH Yoo, SJ Ko 2015 IEEE International Conference on Consumer Electronics (ICCE), 190-191, 2015 | 15 | 2015 |
| PConv: simple yet effective convolutional layer for generative adversarial network S Park, YJ Yeo, YG Shin Neural Computing and Applications 34 (9), 7113-7124, 2022 | 14* | 2022 |
| Generative residual block for image generation S Park, YG Shin Applied Intelligence, 1-10, 2022 | 14 | 2022 |
| Contrast enhancement using sensitivity model-based sigmoid function S Park, YG Shin, SJ Ko IEEE Access 7, 161573-161583, 2019 | 11 | 2019 |
| Generative convolution layer for image generation S Park, YG Shin Neural Networks 152, 370-379, 2022 | 10 | 2022 |
| Conditional convolution projecting latent vectors on condition-specific space MC Sagong, YJ Yeo, YG Shin, SJ Ko IEEE Transactions on Neural Networks and Learning Systems, 2022 | 10* | 2022 |
| Image generation with self pixel-wise normalization YJ Yeo, MC Sagong, S Park, SJ Ko, YG Shin Applied Intelligence 53 (8), 9409-9423, 2023 | 9 | 2023 |
| A novel iris center localization based on circle fitting using radially sampled features ST Kim, KA Choi, YG Shin, SJ Ko 2015 International Symposium on Consumer Electronics (ISCE), 1-2, 2015 | 9 | 2015 |
| Detail restoration and tone mapping networks for x-ray security inspection HY Kim, S Park, YG Shin, SW Jung, SJ Ko IEEE Access 8, 197473-197483, 2020 | 8 | 2020 |
| Simple yet effective way for improving the performance of lossy image compression YJ Yeo, YG Shin, MC Sagong, SW Kim, SJ Ko IEEE Signal Processing Letters 27, 530-534, 2020 | 8 | 2020 |
| Adversarial context aggregation network for low-light image enhancement YG Shin, MC Sagong, YJ Yeo, SJ Ko 2018 Digital Image Computing: Techniques and Applications (DICTA), 1-5, 2018 | 7 | 2018 |
| Effective shortcut technique for generative adversarial networks S Park, CH Yoo, YG Shin Applied Intelligence 53 (2), 2055-2067, 2023 | 6 | 2023 |
| A novel burn-in potential region detection method using image processing technique YG Shin, DH Lee, MC Kang, J Lee, SJ Ko 2017 IEEE International Conference on Consumer Electronics (ICCE), 215-216, 2017 | 6 | 2017 |
