Wonmin Byeon
Impact in
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- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Medical Image Segmentation Techniques
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
- Topic Modeling
Papers in
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- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 6
- Image Retrieval and Classification Techniques 5
- Generative Adversarial Networks and Image Synthesis 5
- Multimodal Machine Learning Applications 4
- Advanced Vision and Imaging 4
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- Domain Adaptation and Few-Shot Learning 4
- Co-authors
- Thomas M. Breuel (9 shared papers)Marcus Liwicki (5 shared papers)Shalini De Mello (4 shared papers)Sifei Liu (4 shared papers)Federico Raue (2 shared papers)Xiaolong Wang (2 shared papers)Jan Kautz (5 shared papers)Jiarui Xu (1 shared paper)
- Journals
- International Journal of Computer Vision (1 paper)Pattern Recognition Letters (1 paper)Journal of Computational Science (1 paper)Neural Networks (1 paper)Computational Visual Media (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Wonmin Byeon
21 papers receiving 922 citations
Wonmin Byeon's Hit Papers
Peers
Comparison fields: 5 of 123
- Computer Vision and Pattern Recognition 652
- Artificial Intelligence 322
- Space and Planetary Science 8
- Media Technology 47
- Neurology 38
Countries citing papers authored by Wonmin Byeon
This map shows the geographic impact of Wonmin Byeon'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 Wonmin Byeon with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Wonmin Byeon more than expected).
Fields of papers citing papers by Wonmin Byeon
This network shows the impact of papers produced by Wonmin Byeon. 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 Wonmin Byeon. The network helps show where Wonmin Byeon may publish in the future.
Co-authors
The 25 scholars most cited alongside Wonmin Byeon, 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 22 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | GroupViT: Semantic Segmentation Emerges from Text Supervision Hit paper breakdown → | 2022 | 243 |
| 2 | 2015 | 243 | |
| 3 | Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Hit paper breakdown → | 2023 | 156 |
| 4 | 2015 | 117 | |
| 5 | 2019 | 50 | |
| 6 | 2013 | 39 | |
| 7 | 2022 | 29 | |
| 8 | 2014 | 15 | |
| 9 | 2015 | 13 | |
| 10 | 2024 | 12 | |
| 11 | 2023 | 10 | |
| 12 | 2014 | 8 | |
| 13 | Convolutional Tensor-Train LSTM for Spatio-temporal Learning | 2020 | 5 |
| 14 | Coupled Segmentation and Edge Learning via Dynamic Graph Propagation | 2021 | 5 |
| 15 | Boosting segmentation with weak supervision from image-to-image translation. | 2019 | 4 |
| 16 | 2022 | 4 | |
| 17 | Fully Context-Aware Video Prediction. | 2017 | 3 |
| 18 | 2015 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2024 | 1 |
About Wonmin Byeon
Wonmin Byeon is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Signal Processing, Paleontology and Anthropology, having authored 22 papers that have together received 963 indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (7 papers), Advanced Neural Network Applications (6 papers), Image Retrieval and Classification Techniques (5 papers), Generative Adversarial Networks and Image Synthesis (5 papers), Multimodal Machine Learning Applications (4 papers), Advanced Vision and Imaging (4 papers), Music and Audio Processing (4 papers) and Domain Adaptation and Few-Shot Learning (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (652 citations), Artificial Intelligence (322 citations), Space and Planetary Science (8 citations), Media Technology (47 citations) and Neurology (38 citations). Wonmin Byeon has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Thomas M. Breuel, Marcus Liwicki, Shalini De Mello, Sifei Liu, Federico Raue, Xiaolong Wang, Jan Kautz, Jiarui Xu, Marijn Stollenga and Juergen Schmidhuber. Their work appears in journals such as International Journal of Computer Vision, Pattern Recognition Letters, Journal of Computational Science, Neural Networks and Computational Visual Media.
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.