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2020 – today
- 2023
[j5]Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong
:
TL-ADA: Transferable Loss-based Active Domain Adaptation. Neural Networks 161: 670-681 (2023)- [i27]Beomyoung Kim, Joonhyun Jeong, Dongyoon Han, Sung Ju Hwang:
The Devil is in the Points: Weakly Semi-Supervised Instance Segmentation via Point-Guided Mask Representation. CoRR abs/2303.15062 (2023) - [i26]Dongyoon Han, Junsuk Choe, Seonghyeok Chun, John Joon Young Chung, Minsuk Chang, Sangdoo Yun, Jean Y. Song, Seong Joon Oh:
Neglected Free Lunch; Learning Image Classifiers Using Annotation Byproducts. CoRR abs/2303.17595 (2023) - [i25]Joonhyun Jeong, Joonsang Yu, Geondo Park, Dongyoon Han, Youngjoon Yoo:
GeNAS: Neural Architecture Search with Better Generalization. CoRR abs/2305.08611 (2023) - 2022
- [c21]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CVPR 2022: 11851-11860 - [c20]Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang:
Contrastive Vicinal Space for Unsupervised Domain Adaptation. ECCV (34) 2022: 92-110 - [c19]Geewook Kim, Teakgyu Hong, Moonbin Yim, JeongYeon Nam, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
OCR-Free Document Understanding Transformer. ECCV (28) 2022: 498-517 - [c18]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. ICLR 2022 - [c17]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. ICLR 2022 - [c16]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. ICML 2022: 25804-25816 - [i24]Dongyoon Han, Young Joon Yoo, Beomyoung Kim, Byeongho Heo:
Learning Features with Parameter-Free Layers. CoRR abs/2202.02777 (2022) - [i23]Jisoo Mok, Byunggook Na, Ji-Hoon Kim, Dongyoon Han, Sungroh Yoon:
Demystifying the Neural Tangent Kernel from a Practical Perspective: Can it be trusted for Neural Architecture Search without training? CoRR abs/2203.14577 (2022) - [i22]Jinhyung Kim, Taeoh Kim, Minho Shim, Dongyoon Han, Dongyoon Wee, Junmo Kim:
Spatiotemporal Augmentation on Selective Frequencies for Video Representation Learning. CoRR abs/2204.03865 (2022) - [i21]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
An Extendable, Efficient and Effective Transformer-based Object Detector. CoRR abs/2204.07962 (2022) - [i20]Kyeongtak Han, Youngeun Kim, Dongyoon Han, Sungeun Hong:
Loss-based Sequential Learning for Active Domain Adaptation. CoRR abs/2204.11665 (2022) - [i19]Sukmin Yun, Jaehyung Kim, Dongyoon Han, Hwanjun Song, Jung-Woo Ha, Jinwoo Shin:
Time Is MattEr: Temporal Self-supervision for Video Transformers. CoRR abs/2207.09067 (2022) - [i18]Nam Hyeon-Woo, Kim Yu-Ji, Byeongho Heo, Dongyoon Han, Seong Joon Oh, Tae-Hyun Oh:
Scratching Visual Transformer's Back with Uniform Attention. CoRR abs/2210.08457 (2022) - [i17]Jaehui Hwang, Dongyoon Han, Byeongho Heo, Song Park, Sanghyuk Chun, Jong-Seok Lee:
Similarity of Neural Architectures Based on Input Gradient Transferability. CoRR abs/2210.11407 (2022) - [i16]Sangyeop Yeo, Yoojin Jang, Jy-yong Sohn, Dongyoon Han, Jaejun Yoo:
Can We Find Strong Lottery Tickets in Generative Models? CoRR abs/2212.08311 (2022) - 2021
- [j4]Junho Cho, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi:
Detecting and Removing Text in the Wild. IEEE Access 9: 123313-123323 (2021) - [j3]Junsuk Choe, Dongyoon Han, Sangdoo Yun, Jung-Woo Ha, Seong Joon Oh, Hyunjung Shim:
Region-based dropout with attention prior for weakly supervised object localization. Pattern Recognit. 116: 107949 (2021) - [c15]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo:
Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021: 732-741 - [c14]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-Labeling ImageNet: From Single to Multi-Labels, From Global to Localized Labels. CVPR 2021: 2340-2350 - [c13]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - [c12]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Gyuwan Kim, Youngjung Uh, Jung-Woo Ha:
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights. ICLR 2021 - [i15]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Junsuk Choe, Sanghyuk Chun:
Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels. CoRR abs/2101.05022 (2021) - [i14]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i13]Hwanjun Song, Deqing Sun, Sanghyuk Chun, Varun Jampani, Dongyoon Han, Byeongho Heo, Wonjae Kim, Ming-Hsuan Yang:
ViDT: An Efficient and Effective Fully Transformer-based Object Detector. CoRR abs/2110.03921 (2021) - [i12]Jaemin Na, Dongyoon Han, Hyung Jin Chang, Wonjun Hwang:
Contrastive Vicinal Space for Unsupervised Domain Adaptation. CoRR abs/2111.13353 (2021) - [i11]Geewook Kim, Teakgyu Hong, Moonbin Yim, Jinyoung Park, Jinyeong Yim, Wonseok Hwang, Sangdoo Yun, Dongyoon Han, Seunghyun Park:
Donut: Document Understanding Transformer without OCR. CoRR abs/2111.15664 (2021) - 2020
- [i10]Sanghyuk Chun, Seong Joon Oh, Sangdoo Yun, Dongyoon Han, Junsuk Choe, Youngjoon Yoo:
An Empirical Evaluation on Robustness and Uncertainty of Regularization Methods. CoRR abs/2003.03879 (2020) - [i9]Byeongho Heo, Sanghyuk Chun, Seong Joon Oh, Dongyoon Han, Sangdoo Yun, Youngjung Uh, Jung-Woo Ha:
Slowing Down the Weight Norm Increase in Momentum-based Optimizers. CoRR abs/2006.08217 (2020) - [i8]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo:
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR abs/2007.00992 (2020) - [i7]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim:
VideoMix: Rethinking Data Augmentation for Video Classification. CoRR abs/2012.03457 (2020)
2010 – 2019
- 2019
- [c11]Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. CVPR 2019: 9365-9374 - [c10]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysis. ICCV 2019: 4714-4722 - [c9]Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Seong Joon Oh, Youngjoon Yoo, Junsuk Choe:
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features. ICCV 2019: 6022-6031 - [c8]Gayoung Lee, Dohyun Kim, Youngjoon Yoo, Dongyoon Han, Jung-Woo Ha, Jaehyuk Chang:
Unpaired Sketch-to-Line Translation via Synthesis of Sketches. SIGGRAPH Asia Technical Briefs 2019: 45-48 - [c7]Yegang Lee, Heechul Jung, Dongyoon Han, Kyungsu Kim, Junmo Kim:
Learning Receptive Field Size by Learning Filter Size. WACV 2019: 1203-1212 - [i6]Jeonghun Baek, Geewook Kim, Junyeop Lee, Sungrae Park, Dongyoon Han, Sangdoo Yun, Seong Joon Oh, Hwalsuk Lee:
What is wrong with scene text recognition model comparisons? dataset and model analysis. CoRR abs/1904.01906 (2019) - [i5]Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee:
Character Region Awareness for Text Detection. CoRR abs/1904.01941 (2019) - [i4]Sangdoo Yun, Dongyoon Han, Seong Joon Oh, Sanghyuk Chun, Junsuk Choe, Youngjoon Yoo:
CutMix: Regularization Strategy to Train Strong Classifiers with Localizable Features. CoRR abs/1905.04899 (2019) - [i3]Young Joon Yoo, Dongyoon Han, Sangdoo Yun:
EXTD: Extremely Tiny Face Detector via Iterative Filter Reuse. CoRR abs/1906.06579 (2019) - 2018
- [j2]Dongyoon Han, Junmo Kim:
Unified Simultaneous Clustering and Feature Selection for Unlabeled and Labeled Data. IEEE Trans. Neural Networks Learn. Syst. 29(12): 6083-6098 (2018) - [c6]Sihyeon Seong, Yegang Lee, Youngwook Kee, Dongyoon Han, Junmo Kim:
Towards Flatter Loss Surface via Nonmonotonic Learning Rate Scheduling. UAI 2018: 1020-1030 - [i2]Hyojin Park, Youngjoon Yoo, Geonseok Seo, Dongyoon Han, Sangdoo Yun, Nojun Kwak:
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation. CoRR abs/1812.04920 (2018) - 2017
- [c5]Dongyoon Han, Jiwhan Kim, Junmo Kim:
Deep Pyramidal Residual Networks. CVPR 2017: 6307-6315 - [c4]Jiwhan Kim, Dongyoon Han, Wonjun Hwang, Junmo Kim:
3D face recognition via discriminative keypoint selection. URAI 2017: 477-480 - 2016
- [j1]Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim:
Salient Region Detection via High-Dimensional Color Transform and Local Spatial Support. IEEE Trans. Image Process. 25(1): 9-23 (2016) - [i1]Dongyoon Han, Jiwhan Kim, Junmo Kim:
Deep Pyramidal Residual Networks. CoRR abs/1610.02915 (2016) - 2015
- [c3]Dongyoon Han, Junmo Kim:
Unsupervised Simultaneous Orthogonal basis Clustering Feature Selection. CVPR 2015: 5016-5023 - [c2]Jiwhan Kim, Dongyoon Han, Sungryull Sohn, Junmo Kim:
Facial age estimation via extended curvature Gabor filter. ICIP 2015: 1165-1169 - 2014
- [c1]Jiwhan Kim, Dongyoon Han, Yu-Wing Tai, Junmo Kim:
Salient Region Detection via High-Dimensional Color Transform. CVPR 2014: 883-890
Coauthor Index
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last updated on 2023-05-18 23:14 CEST by the dblp team
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