| Cutmix: Regularization strategy to train strong classifiers with localizable features S Yun, D Han, SJ Oh, S Chun, J Choe, Y Yoo IEEE International Conference on Computer Vision (ICCV), 2019 | 749 | 2019 |
| Deep Pyramidal Residual Networks D Han, J Kim, J Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2017 | 427 | 2017 |
| Salient region detection via high-dimensional color transform J Kim, D Han, YW Tai, J Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2014 | 313 | 2014 |
| Character Region Awareness for Text Detection Y Baek, B Lee, D Han, S Yun, H Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 271 | 2019 |
| What is wrong with scene text recognition model comparisons? dataset and model analysis J Baek, G Kim, J Lee, S Park, D Han, S Yun, SJ Oh, H Lee IEEE International Conference on Computer Vision (ICCV), 2019 | 174 | 2019 |
| 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 (TIP) 25 (1), 9-23, 2015 | 129 | 2015 |
| Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection D Han, J Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2015 | 56 | 2015 |
| AdamP: Slowing down the slowdown for momentum optimizers on scale-invariant weights B Heo, S Chun, SJ Oh, D Han, S Yun, G Kim, Y Uh, JW Ha International Conference on Learning Representations (ICLR), 3-7, 2021 | 33* | 2021 |
| Rethinking spatial dimensions of vision transformers B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh arXiv preprint arXiv:2103.16302, 2021 | 25 | 2021 |
| EXTD: Extremely tiny face detector via iterative filter reuse YJ Yoo, D Han, S Yun arXiv preprint arXiv:1906.06579, 2019 | 18 | 2019 |
| Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling S Seong, Y Lee, Y Kee, D Han, J Kim UAI 2018, 2018 | 17 | 2018 |
| An empirical evaluation on robustness and uncertainty of regularization methods S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo arXiv preprint arXiv:2003.03879, 2020 | 16 | 2020 |
| Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels S Yun, SJ Oh, B Heo, D Han, J Choe, S Chun Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 15 | 2021 |
| Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data D Han, J Kim IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 29 (12 …, 2018 | 13 | 2018 |
| Concentrated-comprehensive convolutions for lightweight semantic segmentation H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak arXiv preprint arXiv:1812.04920, 2018 | 9 | 2018 |
| Rethinking Channel Dimensions for Efficient Model Design D Han, S Yun, B Heo, YJ Yoo Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 8* | 2021 |
| Facial age estimation via extended curvature Gabor filter J Kim, D Han, S Sohn, J Kim 2015 IEEE international conference on image processing (ICIP), 1165-1169, 2015 | 6 | 2015 |
| Efficient and fast multi-view face detection based on feature transformation D Han, J Kim, J Ju, I Lee, J Cha, J Kim 16th International Conference on Advanced Communication Technology, 682-686, 2014 | 6 | 2014 |
| Cost-efficient 3D face reconstruction from a single 2D image J Yun, J Lee, D Han, J Ju, J Kim 2017 19th International Conference on Advanced Communication Technology …, 2017 | 4 | 2017 |
| Learning receptive field size by learning filter size Y Lee, H Jung, D Han, K Kim, J Kim 2019 IEEE Winter Conference on Applications of Computer Vision (WACV), 1203-1212, 2019 | 3 | 2019 |
Sangdoo YunNAVER AI LABVerified email at navercorp.com
