Gwangbin Bae
Impact in
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- Advanced Vision and Imaging
- Face recognition and analysis
- Generative Adversarial Networks and Image Synthesis
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- Computer Graphics and Visualization Techniques
Papers in
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- Advanced Vision and Imaging 3
- Advanced Image and Video Retrieval Techniques 1
- Face and Expression Recognition 1
- Advanced Image Processing Techniques 1
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- Robotics and Sensor-Based Localization 5
- Co-authors
- Roberto Cipolla (5 shared papers)Ignas Budvytis (3 shared papers)Andrew J. Davison (1 shared paper)Martin de La Gorce (1 shared paper)Jingjing Shen (1 shared paper)Dong Chen (1 shared paper)Charlie Hewitt (1 shared paper)Tadas Baltrušaitis (1 shared paper)
- Journals
- Lecture notes in computer science (1 paper)2021 IEEE/CVF International Conference on Computer Vision (ICCV) (1 paper)2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United Kingdom
In The Last Decade
Gwangbin Bae
9 papers receiving 252 citations
Peers
Comparison fields: 5 of 50
- Computer Vision and Pattern Recognition 189
- Computer Graphics and Computer-Aided Design 28
- Geology 18
- Media Technology 24
- Signal Processing 30
Countries citing papers authored by Gwangbin Bae
This map shows the geographic impact of Gwangbin Bae'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 Gwangbin Bae with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gwangbin Bae more than expected).
Fields of papers citing papers by Gwangbin Bae
This network shows the impact of papers produced by Gwangbin Bae. 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 Gwangbin Bae. The network helps show where Gwangbin Bae may publish in the future.
Co-authors
The 13 scholars most cited alongside Gwangbin Bae, 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 | 2023 | 82 | |
| 2 | 2021 | 72 | |
| 3 | 2022 | 44 | |
| 4 | 2024 | 33 | |
| 5 | 2020 | 18 | |
| 6 | 2024 | 4 | |
| 7 | 2024 | 2 | |
| 8 | 2025 | 1 | |
| 9 | 2025 | 1 |
About Gwangbin Bae
Gwangbin Bae is a scholar working on Computer Vision and Pattern Recognition, Aerospace Engineering, Signal Processing, Computer Graphics and Computer-Aided Design and Geology, having authored 9 papers that have together received 257 indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (5 papers), Advanced Vision and Imaging (3 papers), Advanced Image and Video Retrieval Techniques (1 paper), Face and Expression Recognition (1 paper), Anomaly Detection Techniques and Applications (1 paper), Computer Graphics and Visualization Techniques (1 paper), Total Knee Arthroplasty Outcomes (1 paper) and Advanced Image Processing Techniques (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (189 citations), Computer Graphics and Computer-Aided Design (28 citations), Geology (18 citations), Media Technology (24 citations) and Signal Processing (30 citations). Gwangbin Bae has collaborated with scholars based in United Kingdom. Frequent co-authors include Roberto Cipolla, Ignas Budvytis, Andrew J. Davison, Martin de La Gorce, Jingjing Shen, Dong Chen, Charlie Hewitt, Tadas Baltrušaitis, Chung‐Kwong Yeung and Andrew J. Davison. Their work appears in journals such as Lecture notes in computer science, 2021 IEEE/CVF International Conference on Computer Vision (ICCV), 2023 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.