متابعة
Dongyoon Han
Dongyoon Han
NAVER AI Lab
بريد إلكتروني تم التحقق منه على navercorp.com - الصفحة الرئيسية
عنوان
عدد مرات الاقتباسات
عدد مرات الاقتباسات
السنة
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
62542019
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
12422019
Deep pyramidal residual networks‏
D Han, J Kim, J Kim‏
IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 5927-5935, 2017‏
8972017
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
7372021
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
7052019
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
3932022
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
3672014
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
1932015
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
1902020
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
1792021
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
1232021
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
1112021
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
872020
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
Extd: Extremely tiny face detector via iterative filter reuse‏
YJ Yoo, D Han, S Yun‏
arXiv preprint arXiv:1906.06579, 2019‏
542019
Rexnet: Diminishing representational bottleneck on convolutional neural network‏
D Han, S Yun, B Heo, Y Yoo‏
arXiv preprint arXiv:2007.00992 6, 1, 2020‏
532020
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
502021
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
482018
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
452018
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مقالات 1–20