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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
45572019
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
9482019
Deep Pyramidal Residual Networks
D Han, J Kim, J Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 6307-6315, 2017
7792017
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
5662019
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
5012021
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
3532014
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
1742015
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
1492021
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
1462022
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
1422020
Unsupervised Simultaneous Orthogonal Basis Clustering Feature Selection
D Han, J Kim
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5016-5023, 2015
882015
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
842021
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
722022
Videomix: Rethinking data augmentation for video classification
S Yun, SJ Oh, B Heo, D Han, J Kim
arXiv preprint arXiv:2012.03457, 2020
642020
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
492020
Extd: Extremely tiny face detector via iterative filter reuse
YJ Yoo, D Han, S Yun
arXiv preprint arXiv:1906.06579, 2019
412019
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
402018
Rexnet: Diminishing representational bottleneck on convolutional neural network
D Han, S Yun, B Heo, YJ Yoo
arXiv preprint arXiv:2007.00992 6, 1, 2020
302020
Slowing down the weight norm increase in momentum-based optimizers
B Heo, S Chun, SJ Oh, D Han, S Yun, Y Uh, JW Ha
282020
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
272018
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Articles 1–20