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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/CVF International Conference on Computer Vision (ICCV), 6023-6032, 2019
23192019
Deep Pyramidal Residual Networks
D Han, J Kim, J Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6307-6315, 2017
5902017
Character Region Awareness for Text Detection
Y Baek, B Lee, D Han, S Yun, H Lee
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 9365-9374, 2019
5812019
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/CVF International Conference on Computer Vision (ICCV), 4715-4723, 2019
3532019
Salient region detection via high-dimensional color transform
J Kim, D Han, YW Tai, J Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 883-890, 2014
3402014
Rethinking spatial dimensions of vision transformers
B Heo, S Yun, D Han, S Chun, J Choe, SJ Oh
IEEE/CVF International Conference on Computer Vision (ICCV), 11936-11945, 2021
2212021
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
1462015
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
arXiv preprint arXiv:2006.08217, 2020
722020
Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
D Han, J Kim
IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 5016-5023, 2015
722015
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
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2021
682021
Rethinking Channel Dimensions for Efficient Model Design
D Han, S Yun, B Heo, YJ Yoo
IEEE/CVF Computer Vision and Pattern Recognition (CVPR), 732-741, 2021
51*2021
Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling
S Seong, Y Lee, Y Kee, D Han, J Kim
Uncertainty in Artificial Intelligence (UAI), 2018
322018
An empirical evaluation on robustness and uncertainty of regularization methods
S Chun, SJ Oh, S Yun, D Han, J Choe, Y Yoo
International Conference on Machine Learning (ICML) Workshop on Uncertainty …, 2020
302020
Videomix: Rethinking data augmentation for video classification
S Yun, SJ Oh, B Heo, D Han, J Kim
arXiv preprint arXiv:2012.03457, 2020
282020
EXTD: Extremely tiny face detector via iterative filter reuse
YJ Yoo, D Han, S Yun
arXiv preprint arXiv:1906.06579, 2019
282019
Vidt: An efficient and effective fully transformer-based object detector
H Song, D Sun, S Chun, V Jampani, D Han, B Heo, W Kim, MH Yang
International Conference on Learning Representations (ICLR), 2022
242022
Slowing down the weight norm increase in momentum-based optimizers
B Heo, S Chun, SJ Oh, D Han, S Yun, Y Uh, JW Ha
232020
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
20*2018
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
142018
Donut: Document Understanding Transformer without OCR
G Kim, T Hong, M Yim, J Park, J Yim, W Hwang, S Yun, D Han, S Park
European Conference on Computer Vision (ECCV), 2022
92022
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Articles 1–20