| A gift from knowledge distillation: Fast optimization, network minimization and transfer learning J Yim, D Joo, J Bae, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 1826 | 2017 |
| Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition H Jung, S Lee, J Yim, S Park, J Kim ICCV 2015, 2015 | 944 | 2015 |
| Deep pyramidal residual networks D Han, J Kim, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 862 | 2017 |
| Deep Saliency With Encoded Low Level Distance Map and High Level Features G Lee, YW Tai, J Kim CVPR 2016, 2016 | 560 | 2016 |
| Learning not to learn: Training deep neural networks with biased data B Kim, H Kim, K Kim, S Kim, J Kim Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 481 | 2019 |
| A nonparametric statistical method for image segmentation using information theory and curve evolution J Kim, JW Fisher III, A Yezzi, M Çetin, AS Willsky IEEE Trans. on Image Processing, 2005 | 430 | 2005 |
| Rotating your face using multi-task deep neural network J Yim, H Jung, BI Yoo, C Choi, D Park, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 372 | 2015 |
| Salient region detection via high-dimensional color transform J Kim, D Han, YW Tai, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2014 | 362 | 2014 |
| Nlnl: Negative learning for noisy labels Y Kim, J Yim, J Yun, J Kim Proceedings of the IEEE/CVF international conference on computer vision, 101-110, 2019 | 334 | 2019 |
| Less-forgetting learning in deep neural networks H Jung, J Ju, M Jung, J Kim arXiv preprint arXiv:1607.00122, 2016 | 275 | 2016 |
| Plankton classification on imbalanced large scale database via convolutional neural networks with transfer learning H Lee, M Park, J Kim 2016 IEEE international conference on image processing (ICIP), 3713-3717, 2016 | 252 | 2016 |
| Active convolution: Learning the shape of convolution for image classification Y Jeon, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 214 | 2017 |
| Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support J Kim, D Han, YW Tai, J Kim IEEE Transactions on Image Processing 25 (1), 9-23, 2016 | 188 | 2016 |
| Nonparametric methods for image segmentation using information theory and curve evolution J Kim, JW Fisher, A Yezzi, M Cetin, AS Willsky Proceedings. International Conference on Image Processing 3, 797-800, 2002 | 162 | 2002 |
| Global-local path networks for monocular depth estimation with vertical cutdepth D Kim, W Ka, P Ahn, D Joo, S Chun, J Kim arXiv preprint arXiv:2201.07436, 2022 | 149 | 2022 |
| Nonparametric shape priors for active contour-based image segmentation J Kim, M Çetin, AS Willsky Signal Processing 87 (12), 3021-3044, 2007 | 146 | 2007 |
| An efficient lane detection algorithm for lane departure detection H Jung, J Min, J Kim Intelligent Vehicles Symposium (IV), 2013 IEEE, 976-981, 2013 | 127 | 2013 |
| Deep generative-contrastive networks for facial expression recognition Y Kim, BI Yoo, Y Kwak, C Choi, J Kim arXiv preprint arXiv:1703.07140, 2017 | 110 | 2017 |
| Cephalometric landmark detection in dental x-ray images using convolutional neural networks H Lee, M Park, J Kim Medical imaging 2017: Computer-aided diagnosis 10134, 494-499, 2017 | 102 | 2017 |
| Unsupervised simultaneous orthogonal basis clustering feature selection D Han, J Kim Proceedings of the IEEE conference on computer vision and pattern …, 2015 | 97 | 2015 |
