Sangdoo Yun
- Computer Vision and Pattern Recognition top 0.2%
- Artificial Intelligence top 0.5%
- Media Technology top 0.5%
- Aerospace Engineering top 5%
- Radiology, Nuclear Medicine and Imaging top 5%
- Co-authors
- Dongyoon HanYoungjoon YooSeong Joon OhJunsuk ChoeSanghyuk ChunJin Young ChoiByeongho HeoHwalsuk Lee
- Topics
- Domain Adaptation and Few-Shot Learning (20 papers)Advanced Neural Network Applications (18 papers)Video Surveillance and Tracking Methods (11 papers)
- Partner nations
- South KoreaUnited StatesUnited Kingdom
In The Last Decade
Sangdoo Yun
44 papers receiving 5.3k citations
Hit Papers
Peers
Comparison fields: 5 of 150
- Computer Vision and Pattern Recognition 3.9k
- Artificial Intelligence 2.3k
- Media Technology 637
- Aerospace Engineering 353
- Radiology, Nuclear Medicine and Imaging 346
Countries citing papers authored by Sangdoo Yun
This map shows the geographic impact of Sangdoo Yun's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Sangdoo Yun with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Sangdoo Yun more than expected).
Fields of papers citing papers by Sangdoo Yun
This network shows the impact of papers produced by Sangdoo Yun. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Sangdoo Yun. The network helps show where Sangdoo Yun may publish in the future.
Co-authorship network of co-authors of Sangdoo Yun
This figure shows the co-authorship network connecting the top 25 collaborators of Sangdoo Yun. A scholar is included among the top collaborators of Sangdoo Yun based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Sangdoo Yun. Sangdoo Yun is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 0 | |
| 2 | 0 | |
| 3 | 1 | |
| 4 | 0 | |
| 5 | 2 | |
| 6 | 13 | |
| 7 | 0 | |
| 8 | 1 | |
| 9 | 2 | |
| 10 | 1 | |
| 11 | 0 | |
| 12 | AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights | 7 |
| 13 | Slowing Down the Weight Norm Increase in Momentum-based Optimizers | 9 |
| 14 | ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. | 16 |
| 15 | What Is Wrong With Scene Text Recognition Model Comparisons? Dataset and Model Analysisbreakdown → | 296 |
| 16 | CutMix: Regularization Strategy to Train Strong Classifiers With Localizable Featuresbreakdown → | 2641 |
| 17 | Concentrated-Comprehensive Convolutions for lightweight semantic segmentation | 5 |
| 18 | Improving Knowledge Distillation with Supporting Adversarial Samples | 3 |
| 19 | 1 | |
| 20 | 4 |
About Sangdoo Yun
Sangdoo Yun is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Computer Graphics and Computer-Aided Design, having authored 52 papers that have together received 5.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (20 papers), Advanced Neural Network Applications (18 papers) and Video Surveillance and Tracking Methods (11 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.9k citations), Media Technology (637 citations) and Artificial Intelligence (2.3k citations). Sangdoo Yun has collaborated with scholars based in South Korea, United States and United Kingdom. Frequent co-authors include Dongyoon Han, Youngjoon Yoo, Seong Joon Oh, Junsuk Choe, Sanghyuk Chun, Jin Young Choi, Byeongho Heo, Hwalsuk Lee, Jongwon Choi and Youngmin Baek. Their work appears in journals such as Optics Express, IEEE Access and Pattern Recognition.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.