Wonmin Byeon
Impact in
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- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Generative Adversarial Networks and Image Synthesis
- Advanced Vision and Imaging
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning
- Natural Language Processing Techniques
Papers in
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- Advanced Image and Video Retrieval Techniques 8
- Image Retrieval and Classification Techniques 6
- Generative Adversarial Networks and Image Synthesis 6
- Advanced Vision and Imaging 4
- Video Analysis and Summarization 4
- Multimodal Machine Learning Applications 4
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- Music and Audio Processing 6
- Co-authors
- Thomas Michael Breuel (11 shared papers)Sifei Liu (5 shared papers)Shalini De Mello (6 shared papers)Xiaolong Wang (3 shared papers)Marcus Liwicki (5 shared papers)Federico Raue (3 shared papers)Jan Kautz (7 shared papers)Jiarui Xu (2 shared papers)
- Journals
- Neural Networks (1 paper)Computational Visual Media (1 paper)International Journal of Computer Vision (1 paper)Journal of Computational Science (1 paper)Pattern Recognition Letters (1 paper)
- Partner nations
- United StatesGermanySouth Korea
In The Last Decade
Wonmin Byeon
30 papers receiving 1.4k citations
Wonmin Byeon's Hit Papers
Peers
Comparison fields: 5 of 125
- Computer Vision and Pattern Recognition 890
- Artificial Intelligence 466
- Statistical and Nonlinear Physics 88
- Media Technology 59
- Space and Planetary Science 8
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 32 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 | 345 |
| 2 | 2015 | 290 | |
| 3 | Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Models Hit paper breakdown → | 2023 | 262 |
| 4 | 2021 | 123 | |
| 5 | 2018 | 94 | |
| 6 | 2019 | 53 | |
| 7 | 2013 | 49 | |
| 8 | 2022 | 36 | |
| 9 | 2024 | 27 | |
| 10 | 2014 | 20 | |
| 11 | 2023 | 19 | |
| 12 | 2015 | 15 | |
| 13 | 2022 | 11 | |
| 14 | 2014 | 9 | |
| 15 | Convolutional Tensor-Train LSTM for Spatio-temporal Learning | 2020 | 7 |
| 16 | 2024 | 7 | |
| 17 | 2022 | 7 | |
| 18 | Boosting segmentation with weak supervision from image-to-image translation. | 2019 | 6 |
| 19 | 2022 | 6 | |
| 20 | Coupled Segmentation and Edge Learning via Dynamic Graph Propagation | 2021 | 5 |
About Wonmin Byeon
Wonmin Byeon is a scholar working on Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence, Statistical and Nonlinear Physics and Computational Mathematics, having authored 32 papers that have together received 1.4k indexed citations. Recurring topics across this work include Advanced Image and Video Retrieval Techniques (8 papers), Image Retrieval and Classification Techniques (6 papers), Generative Adversarial Networks and Image Synthesis (6 papers), Music and Audio Processing (6 papers), Domain Adaptation and Few-Shot Learning (4 papers), Advanced Vision and Imaging (4 papers), Video Analysis and Summarization (4 papers) and Multimodal Machine Learning Applications (4 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (890 citations), Artificial Intelligence (466 citations), Statistical and Nonlinear Physics (88 citations), Media Technology (59 citations) and Space and Planetary Science (8 citations). Wonmin Byeon has collaborated with scholars based in United States, Germany and South Korea. Frequent co-authors include Thomas Michael Breuel, Sifei Liu, Shalini De Mello, Xiaolong Wang, Marcus Liwicki, Federico Raue, Jan Kautz, Jiarui Xu, Arash Vahdat and Jiarui Xu. Their work appears in journals such as Neural Networks, Computational Visual Media, International Journal of Computer Vision, Journal of Computational Science and Pattern Recognition Letters.
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.