Byeongho Heo
Impact in
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- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Multimodal Machine Learning Applications
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 2%
- Domain Adaptation and Few-Shot Learning
- Adversarial Robustness in Machine Learning
- Machine Learning and Data Classification
- Anomaly Detection Techniques and Applications
Papers in
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- Advanced Neural Network Applications 14
- Advanced Image and Video Retrieval Techniques 13
- Multimodal Machine Learning Applications 6
- Video Surveillance and Tracking Methods 5
- Human Pose and Action Recognition 3
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- Domain Adaptation and Few-Shot Learning 14
- Adversarial Robustness in Machine Learning 4
- Anomaly Detection Techniques and Applications 4
- Co-authors
- Sangdoo Yun (16 shared papers)Jin Young Choi (15 shared papers)Minsik Lee (3 shared papers)Hyojin Park (1 shared paper)Nojun Kwak (1 shared paper)Jeesoo Kim (1 shared paper)Dongyoon Han (12 shared papers)Mingi Ji (1 shared paper)
- Journals
- Pattern Recognition Letters (2 papers)IEEE Access (2 papers)Machine Vision and Applications (1 paper)IEEE Transactions on Neural Networks and Learning Systems (1 paper)Lecture notes in computer science (6 papers)
- Partner nations
- South KoreaUnited KingdomCanada
In The Last Decade
Byeongho Heo
30 papers receiving 1.4k citations
Byeongho Heo's Hit Papers
Peers
Comparison fields: 5 of 96
- Computer Vision and Pattern Recognition 949
- Artificial Intelligence 796
- Media Technology 70
- Signal Processing 86
- Computational Mathematics 4
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 | A Comprehensive Overhaul of Feature Distillation Hit paper breakdown → | 2019 | 419 |
| 2 | Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons Hit paper breakdown → | 2019 | 330 |
| 3 | 2022 | 132 | |
| 4 | 2021 | 105 | |
| 5 | 2019 | 90 | |
| 6 | 2022 | 68 | |
| 7 | 2021 | 66 | |
| 8 | 2021 | 60 | |
| 9 | 2023 | 24 | |
| 10 | 2017 | 21 | |
| 11 | 2019 | 19 | |
| 12 | ReXNet: Diminishing Representational Bottleneck on Convolutional Neural Network. | 2020 | 17 |
| 13 | 2013 | 14 | |
| 14 | 2024 | 11 | |
| 15 | 2022 | 11 | |
| 16 | Slowing Down the Weight Norm Increase in Momentum-based Optimizers | 2020 | 9 |
| 17 | 2018 | 8 | |
| 18 | 2021 | 8 | |
| 19 | AdamP: Slowing Down the Slowdown for Momentum Optimizers on Scale-invariant Weights | 2021 | 7 |
| 20 | 2020 | 7 |
About Byeongho Heo
Byeongho Heo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Electrical and Electronic Engineering and Information Systems and Management, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Neural Network Applications (14 papers), Domain Adaptation and Few-Shot Learning (14 papers), Advanced Image and Video Retrieval Techniques (13 papers), Multimodal Machine Learning Applications (6 papers), Video Surveillance and Tracking Methods (5 papers), Adversarial Robustness in Machine Learning (4 papers), Anomaly Detection Techniques and Applications (4 papers) and Human Pose and Action Recognition (3 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (949 citations), Artificial Intelligence (796 citations), Media Technology (70 citations), Signal Processing (86 citations) and Computational Mathematics (4 citations). Byeongho Heo has collaborated with scholars based in South Korea, United Kingdom and Canada. Frequent co-authors include Sangdoo Yun, Jin Young Choi, Minsik Lee, Hyojin Park, Nojun Kwak, Jeesoo Kim, Dongyoon Han, Mingi Ji, Seulki Park and Jong‐Seok Lee. Their work appears in journals such as Pattern Recognition Letters, IEEE Access, 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.