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Sangdoo Yun
- > Home > Persons > Sangdoo Yun
Publications
- 2024
- [i51]Byeongho Heo, Song Park, Dongyoon Han, Sangdoo Yun:
Rotary Position Embedding for Vision Transformer. CoRR abs/2403.13298 (2024) - 2023
- [c45]Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun:
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. ICCV 2023: 17202-17213 - [c42]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? ICLR 2023 - [i47]Song Park, Sanghyuk Chun, Byeongho Heo, Wonjae Kim, Sangdoo Yun:
SeiT: Storage-Efficient Vision Training with Tokens Using 1% of Pixel Storage. CoRR abs/2303.11114 (2023) - [i42]Namuk Park, Wonjae Kim, Byeongho Heo, Taekyung Kim, Sangdoo Yun:
What Do Self-Supervised Vision Transformers Learn? CoRR abs/2305.00729 (2023) - [i38]Byeongho Heo, Taekyung Kim, Sangdoo Yun, Dongyoon Han:
Augmenting Sub-model to Improve Main Model. CoRR abs/2306.11339 (2023) - [i35]Jiwon Kim, Byeongho Heo, Sangdoo Yun, Seungryong Kim, Dongyoon Han:
Match me if you can: Semantic Correspondence Learning with Unpaired Images. CoRR abs/2311.18540 (2023) - 2022
- [c38]Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help the Minority: Context-rich Minority Oversampling for Long-tailed Classification. CVPR 2022: 6877-6886 - [i27]Byungsoo Ko, Han-Gyu Kim, Byeongho Heo, Sangdoo Yun, Sanghyuk Chun, Geonmo Gu, Wonjae Kim:
Group Generalized Mean Pooling for Vision Transformer. CoRR abs/2212.04114 (2022) - 2021
- [j3]Junho Cho, Sangdoo Yun, Dongyoon Han, Byeongho Heo, Jin Young Choi:
Detecting and Removing Text in the Wild. IEEE Access 9: 123313-123323 (2021) - [c31]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Youngjoon Yoo:
Rethinking Channel Dimensions for Efficient Model Design. CVPR 2021: 732-741 - [c30]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 - [c28]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. ICCV 2021: 11916-11925 - [c27]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 - [i26]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) - [i25]Byeongho Heo, Sangdoo Yun, Dongyoon Han, Sanghyuk Chun, Junsuk Choe, Seong Joon Oh:
Rethinking Spatial Dimensions of Vision Transformers. CoRR abs/2103.16302 (2021) - [i19]Seulki Park, Youngkyu Hong, Byeongho Heo, Sangdoo Yun, Jin Young Choi:
The Majority Can Help The Minority: Context-rich Minority Oversampling for Long-tailed Classification. CoRR abs/2112.00412 (2021) - 2020
- [i17]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) - [i16]Dongyoon Han, Sangdoo Yun, Byeongho Heo, Young Joon Yoo:
ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. CoRR abs/2007.00992 (2020) - [i15]Sangdoo Yun, Seong Joon Oh, Byeongho Heo, Dongyoon Han, Jinhyung Kim:
VideoMix: Rethinking Data Augmentation for Video Classification. CoRR abs/2012.03457 (2020) - 2019
- [c24]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. AAAI 2019: 3771-3778 - [c23]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. AAAI 2019: 3779-3787 - [c21]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. ICCV 2019: 1921-1930 - [i14]Byeongho Heo, Jeesoo Kim, Sangdoo Yun, Hyojin Park, Nojun Kwak, Jin Young Choi:
A Comprehensive Overhaul of Feature Distillation. CoRR abs/1904.01866 (2019) - 2018
- [c15]Longyin Wen, Pengfei Zhu, Dawei Du, Xiao Bian, Haibin Ling, Qinghua Hu, Chenfeng Liu, Hao Cheng, Xiaoyu Liu, Wenya Ma, Qinqin Nie, Haotian Wu, Lianjie Wang, Asanka G. Perera, Baochang Zhang, Byeongho Heo, Chunlei Liu, Dongdong Li, Emmanouil Michail, Hanlin Chen, Hao Liu, Haojie Li, Ioannis Kompatsiaris, Jian Cheng, Jiaqing Fan, Jie Zhang, Jin Young Choi, Jing Li, Jinyu Yang, Jongwon Choi, Juanping Zhao, Jungong Han, Kaihua Zhang, Kaiwen Duan, Ke Song, Konstantinos Avgerinakis, Kyuewang Lee, Lu Ding, Martin Lauer, Panagiotis Giannakeris, Peizhen Zhang, Qiang Wang, Qianqian Xu, Qingming Huang, Qingshan Liu, Robert Laganière, Ruixin Zhang, Sangdoo Yun, Shengyin Zhu, Sihang Wu, Stefanos Vrochidis, Wei Tian, Wei Zhang, Weidong Chen, Weiming Hu, Wenhao Wang, Wenhua Zhang, Wenrui Ding, Xiaohao He, Xiaotong Li, Xin Zhang, Xinbin Luo, Xixi Hu, Yang Meng, Yangliu Kuai, Yanyun Zhao, Yaxuan Li, Yifan Yang, Yifan Zhang, Yong Wang, Yuankai Qi, Zhipeng Deng, Zhiqun He:
VisDrone-SOT2018: The Vision Meets Drone Single-Object Tracking Challenge Results. ECCV Workshops (5) 2018: 469-495 - [i5]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Distillation with Adversarial Samples Supporting Decision Boundary. CoRR abs/1805.05532 (2018) - [i4]Byeongho Heo, Minsik Lee, Sangdoo Yun, Jin Young Choi:
Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons. CoRR abs/1811.03233 (2018) - 2014
- [c2]Sangdoo Yun, Hawook Jeong, Woo-Sung Kang, Byeongho Heo, Jin Young Choi:
Self-Organizing Cascaded Structure of Deformable Part Models for Fast Object Detection. ICPR 2014: 4246-4250
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last updated on 2024-04-25 02:49 CEST by the dblp team
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