Byeongho Heo
Impact in
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- Advanced Neural Network Applications
- Video Surveillance and Tracking Methods
- Advanced Data Compression Techniques
- Human Pose and Action Recognition
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Imbalanced Data Classification Techniques
Papers in
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- Advanced Neural Network Applications 17
- Video Surveillance and Tracking Methods 6
- Advanced Image and Video Retrieval Techniques 3
- Generative Adversarial Networks and Image Synthesis 2
- Visual Attention and Saliency Detection 1
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- Domain Adaptation and Few-Shot Learning 8
- Adversarial Robustness in Machine Learning 2
- Imbalanced Data Classification Techniques 1
- Co-authors
- Sangdoo Yun (13 shared papers)Jin Young Choi (14 shared papers)Dongyoon Han (12 shared papers)Minsik Lee (2 shared papers)Junsuk Choe (3 shared papers)Sanghyuk Chun (5 shared papers)Seong Joon Oh (2 shared papers)Nojun Kwak (1 shared paper)
- Journals
- IEEE Access (2 papers)Pattern Recognition Letters (2 papers)Machine Vision and Applications (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Lecture notes in computer science (9 papers)
- Partner nations
- South KoreaUnited KingdomGermany
In The Last Decade
Byeongho Heo
31 papers receiving 2.1k citations
Byeongho Heo's Hit Papers
Peers
Comparison fields: 5 of 76
- Computer Vision and Pattern Recognition 1.5k
- Artificial Intelligence 706
- Media Technology 67
- Signal Processing 48
- Health Informatics 5
Countries citing papers authored by Byeongho Heo
This map shows the geographic impact of Byeongho Heo'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 Byeongho Heo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Byeongho Heo more than expected).
Fields of papers citing papers by Byeongho Heo
This network shows the impact of papers produced by Byeongho Heo. 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 Byeongho Heo. The network helps show where Byeongho Heo may publish in the future.
Co-authors
The 25 scholars most cited alongside Byeongho Heo, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Rethinking Spatial Dimensions of Vision Transformers Hit paper breakdown → | 2021 | 484 |
| 2 | A Comprehensive Overhaul of Feature Distillation Hit paper breakdown → | 2019 | 458 |
| 3 | Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons Hit paper breakdown → | 2019 | 377 |
| 4 | 2022 | 156 | |
| 5 | 2021 | 122 | |
| 6 | 2019 | 107 | |
| 7 | 2022 | 85 | |
| 8 | 2021 | 81 | |
| 9 | 2021 | 68 | |
| 10 | 2019 | 44 | |
| 11 | 2024 | 28 | |
| 12 | 2023 | 27 | |
| 13 | 2017 | 22 | |
| 14 | 2024 | 20 | |
| 15 | 2019 | 19 | |
| 16 | 2013 | 15 | |
| 17 | 2022 | 13 | |
| 18 | 2018 | 10 | |
| 19 | 2021 | 8 | |
| 20 | 2020 | 7 |
About Byeongho Heo
Byeongho Heo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Nuclear Energy and Engineering, Waste Management and Disposal and Infectious Diseases, having authored 32 papers that have together received 2.2k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (17 papers), Domain Adaptation and Few-Shot Learning (8 papers), Video Surveillance and Tracking Methods (6 papers), Advanced Image and Video Retrieval Techniques (3 papers), Adversarial Robustness in Machine Learning (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Imbalanced Data Classification Techniques (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (1.5k citations), Artificial Intelligence (706 citations), Media Technology (67 citations), Signal Processing (48 citations) and Health Informatics (5 citations). Byeongho Heo has collaborated with scholars based in South Korea, United Kingdom and Germany. Frequent co-authors include Sangdoo Yun, Jin Young Choi, Dongyoon Han, Minsik Lee, Junsuk Choe, Sanghyuk Chun, Seong Joon Oh, Nojun Kwak, Jeesoo Kim and Hyojin Park. Their work appears in journals such as IEEE Access, Pattern Recognition Letters, Machine Vision and Applications, IEEE Transactions on Neural Networks and Learning Systems and Lecture notes in computer science.
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.