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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
58192019
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
11712019
Deep pyramidal residual networks
D Han, J Kim, J Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5927-5935, 2017
8692017
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
6742019
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
6582021
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
3602014
Ocr-free document understanding transformer
G Kim, T Hong, M Yim, JY Nam, J Park, J Yim, W Hwang, S Yun, D Han, ...
European Conference on Computer Vision (ECCV), 498-517, 2022
3242022
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
1892015
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), 2020
1722020
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), 2340-2350, 2021
1682021
Rethinking channel dimensions for efficient model design
D Han, S Yun, B Heo, YJ Yoo
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 732-741, 2021
1062021
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), 2021
1042021
Unsupervised simultaneous orthogonal basis clustering feature selection
D Han, J Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5016-5023, 2015
982015
Videomix: Rethinking data augmentation for video classification
S Yun, SJ Oh, B Heo, D Han, J Kim
arXiv preprint arXiv:2012.03457, 2020
822020
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
612020
Rexnet: Diminishing representational bottleneck on convolutional neural network
D Han, S Yun, B Heo, Y Yoo
arXiv preprint arXiv:2007.00992 6, 1, 2020
512020
Extd: Extremely tiny face detector via iterative filter reuse
YJ Yoo, D Han, S Yun
arXiv preprint arXiv:1906.06579, 2019
482019
Donut: Document understanding transformer without ocr
G Kim, T Hong, M Yim, J Park, J Yim, W Hwang, S Yun, D Han, S Park
arXiv preprint arXiv:2111.15664 7 (15), 2, 2021
472021
C3: Concentrated-comprehensive convolution and its application to semantic segmentation
H Park, Y Yoo, G Seo, D Han, S Yun, N Kwak
arXiv preprint arXiv:1812.04920, 2018
422018
Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling.
S Seong, Y Lee, Y Kee, D Han, J Kim
The Conference on Uncertainty in Artificial Intelligence (UAI), 1020-1030, 2018
402018
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Articles 1–20