Dongyoon Han
Dongyoon Han
NAVER AI Lab
Verified email at navercorp.com - Homepage
Title
Cited by
Cited by
Year
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
7492019
Deep Pyramidal Residual Networks
D Han, J Kim, J Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2017
4272017
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
3132014
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
2712019
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
1742019
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
1292015
Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
D Han, J Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2015
562015
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
252021
EXTD: Extremely tiny face detector via iterative filter reuse
YJ Yoo, D Han, S Yun
arXiv preprint arXiv:1906.06579, 2019
182019
Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling
S Seong, Y Lee, Y Kee, D Han, J Kim
UAI 2018, 2018
172018
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
162020
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
152021
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
132018
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
92018
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
62015
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
62014
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
42017
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
32019
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