Wonmin Byeon
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- Advanced Image and Video Retrieval Techniques 7
- Advanced Neural Network Applications 6
- Generative Adversarial Networks and Image Synthesis 5
- Image Retrieval and Classification Techniques 5
- Advanced Vision and Imaging 4
- Multimodal Machine Learning Applications 4
- Artificial Intelligence top 5%
- Domain Adaptation and Few-Shot Learning 4
- Media Technology top 10%
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- Music and Audio Processing 4
- Co-authors
- Thomas M. BreuelMarcus LiwickiSifei LiuShalini De MelloFederico RaueXiaolong WangJan KautzJiarui Xu
- Journals
- 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
21 papers receiving 922 citations
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-authorship network
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
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 12 | |
| 2 | 2024 | 1 | |
| 3 | 2024 | 0 | |
| 4 | 2023 | 10 | |
| 5 | 2023 | 2 | |
| 6 | Open-Vocabulary Panoptic Segmentation with Text-to-Image Diffusion Modelsbreakdown → | 2023 | 156 |
| 7 | GroupViT: Semantic Segmentation Emerges from Text Supervisionbreakdown → | 2022 | 243 |
| 8 | 2022 | 4 | |
| 9 | 2022 | 29 | |
| 10 | Coupled Segmentation and Edge Learning via Dynamic Graph Propagation | 2021 | 5 |
| 11 | Convolutional Tensor-Train LSTM for Spatio-temporal Learning | 2020 | 5 |
| 12 | Boosting segmentation with weak supervision from image-to-image translation. | 2019 | 4 |
| 13 | 2019 | 50 | |
| 14 | Fully Context-Aware Video Prediction. | 2017 | 3 |
| 15 | Image Analysis with Long Short-Term Memory Recurrent Neural Networks | 2016 | 1 |
| 16 | 2015 | 117 | |
| 17 | 2015 | 243 | |
| 18 | 2015 | 13 | |
| 19 | 2014 | 15 | |
| 20 | 2014 | 8 |
About Wonmin Byeon
Wonmin Byeon is a scholar working on Computational Mathematics, Computer Vision and Pattern Recognition, Signal Processing, Artificial Intelligence and Geography, Planning and Development, 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), Generative Adversarial Networks and Image Synthesis (5 papers), Image Retrieval and Classification Techniques (5 papers), Music and Audio Processing (4 papers), Advanced Vision and Imaging (4 papers), Multimodal Machine Learning Applications (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, Sifei Liu, Shalini De Mello, Federico Raue, Xiaolong Wang, Jan Kautz, Jiarui Xu, Juergen Schmidhuber and Marijn Stollenga. Their work appears in journals such as International Journal of Computer Vision, Journal of Computational Science, Pattern Recognition Letters, 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.