Minjae Kim
Impact in
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- Advanced Image Processing Techniques
- Generative Adversarial Networks and Image Synthesis
- Image Enhancement Techniques
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
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- Music and Audio Processing
- Speech and Audio Processing
Papers in
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- Advanced Vision and Imaging 2
- Generative Adversarial Networks and Image Synthesis 2
- Video Analysis and Summarization 2
- Video Surveillance and Tracking Methods 2
- Advanced Image Processing Techniques 2
- Co-authors
- Junho Kim (1 shared paper)Hyeon-Woo Kang (1 shared paper)Hanseok Ko (2 shared papers)David K. Han (1 shared paper)Nikko Ström (1 shared paper)Kenichi Kumatani (1 shared paper)Sankaran Panchapagesan (1 shared paper)Minhua Wu (1 shared paper)
- Journals
- IEEE Access (2 papers)Proceedings of the ACM on Human-Computer Interaction (1 paper)IEEE Transactions on Consumer Electronics (1 paper)Mechanical Systems and Signal Processing (1 paper)IEIE Transactions on Smart Processing and Computing (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Minjae Kim
8 papers receiving 130 citations
Peers
Comparison fields: 5 of 37
- Computer Vision and Pattern Recognition 89
- Signal Processing 23
- Computer Graphics and Computer-Aided Design 6
- Media Technology 12
- Artificial Intelligence 41
Countries citing papers authored by Minjae Kim
This map shows the geographic impact of Minjae Kim'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 Minjae Kim with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Minjae Kim more than expected).
Fields of papers citing papers by Minjae Kim
This network shows the impact of papers produced by Minjae Kim. 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 Minjae Kim. The network helps show where Minjae Kim may publish in the future.
Co-authors
The 22 scholars most cited alongside Minjae Kim, 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 | U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation | 2020 | 47 |
| 2 | 2017 | 34 | |
| 3 | 2015 | 33 | |
| 4 | 2019 | 14 | |
| 5 | 2023 | 6 | |
| 6 | 2025 | 5 | |
| 7 | 2023 | 2 | |
| 8 | 2021 | 1 | |
| 9 | 2023 | 0 | |
| 10 | 2023 | 0 | |
| 11 | 2017 | 0 | |
| 12 | 2012 | 0 |
About Minjae Kim
Minjae Kim is a scholar working on Computer Vision and Pattern Recognition, Control and Systems Engineering, Information Systems, Signal Processing and Automotive Engineering, having authored 12 papers that have together received 142 indexed citations. Recurring topics across this work include Advanced Vision and Imaging (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Video Analysis and Summarization (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Image Processing Techniques (2 papers), Speech and Audio Processing (2 papers), Robotics and Sensor-Based Localization (1 paper) and Face Recognition and Perception (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (89 citations), Signal Processing (23 citations), Computer Graphics and Computer-Aided Design (6 citations), Media Technology (12 citations) and Artificial Intelligence (41 citations). Minjae Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Junho Kim, Hyeon-Woo Kang, Hanseok Ko, David K. Han, Nikko Ström, Kenichi Kumatani, Sankaran Panchapagesan, Minhua Wu, Hyunjung Shim and Seung-Yun Lee. Their work appears in journals such as IEEE Access, Proceedings of the ACM on Human-Computer Interaction, IEEE Transactions on Consumer Electronics, Mechanical Systems and Signal Processing and IEIE Transactions on Smart Processing and Computing.
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.