Sangdoo Yun
South Korean AI researcher
Facts
12 properties- Instance of
- human
- Date of birth
- 1987
- Country of citizenship
- South Korea[3]
- Occupation
- researcher
- Employer
- Naver Corporation[4]
- Educated at
- Seoul National University (?–2010), Seoul National University (?–2013), Seoul National University (?–2017)[5][6][7]
- Notable work
- CutMix[9]
- Doctoral advisor
- Jin Young Choi[8]
- Given name
- Sang-du[12]
- Imported from
- wholeness_audit_2026-05-02
🏷️ Also known as
en Sangdoo Yun
ko 윤상두
🔖 Identifiers · 12
- ISNI
- 0000000493071368
- ORCID iD
- 0000-0002-0417-8450
- VIAF cluster ID
- 124161272216447442796
- OpenAlex ID
- A5003220288
- DBLP author ID
- 124/3009
- GitHub account
- hellbell, sangdooyun
- Google Knowledge Graph ID
- /g/11hlph1h6n
- Google Scholar author ID
- o0qtjzYAAAAJ
- IEEE Xplore author ID
- 37085369355
- LinkedIn personal profile ID
- sangdoo-yun-70777178
- National Library of Korea ID
- KAC2020A3301
- ResearchGate profile ID
- Sangdoo-Yun
📜 Data licence
Source: OpenAlex (openalex.org), snapshot of 2026-09-23. CC0 1.0 Universal. CC0 1.0 Universal · OpenAlex
🔗 Connections
Author of 28
A Comprehensive Overhaul of Feature Distillation,
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning,
Action-Driven Visual Object Tracking With Deep Reinforcement Learning,
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights,
Attentional Correlation Filter Network for Adaptive Visual Tracking,
Character Region Awareness for Text Detection,
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation,
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
+20 more
← Authored by 28
A Comprehensive Overhaul of Feature Distillation,
Action-Decision Networks for Visual Tracking with Deep Reinforcement Learning,
Action-Driven Visual Object Tracking With Deep Reinforcement Learning,
AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights,
Attentional Correlation Filter Network for Adaptive Visual Tracking,
Character Region Awareness for Text Detection,
Concentrated-Comprehensive Convolutions for lightweight semantic segmentation,
CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Features
+20 more
Affiliated with 2
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Summary
Sangdoo Yun was born in 1987[1]. He worked as a researcher[2].
Body
Education
Educated at Seoul National University[5], a national university[13], in South Korea[14], founded in 1946[15], headquartered in Seoul[16].
FAQs
What did Sangdoo Yun do for work?
Sangdoo Yun worked as researcher[2].
Where did Sangdoo Yun go to school?
Sangdoo Yun was educated at Seoul National University[5], Seoul National University[6], and Seoul National University[7].