Minjae Kim
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- Generative Adversarial Networks and Image Synthesis 2
- Advanced Vision and Imaging 2
- Video Surveillance and Tracking Methods 2
- Advanced Image Processing Techniques 2
- Video Analysis and Summarization 2
- Image and Signal Denoising Methods 1
- Visual Attention and Saliency Detection 1
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- Speech and Audio Processing 2
- Co-authors
- Hyeon-Woo KangJunho KimHanseok KoDavid K. HanMinhua WuSankaran PanchapagesanNikko StrömKenichi Kumatani
- Cited by
- Computer Vision and Pattern RecognitionSignal ProcessingComputer Graphics and Computer-Aided Design
- Journals
- IEEE Access (2 papers)Mechanical Systems and Signal Processing (1 paper)IEEE Transactions on Consumer Electronics (1 paper)
- Partner nations
- South KoreaUnited StatesJapan
In The Last Decade
Minjae Kim
8 papers receiving 128 citations
Peers
Comparison fields: 5 of 38
- Computer Vision and Pattern Recognition 90
- 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-authorship network
The 23 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 | 2025 | 4 | |
| 2 | 2023 | 0 | |
| 3 | 2023 | 0 | |
| 4 | 2023 | 5 | |
| 5 | 2023 | 2 | |
| 6 | 2021 | 1 | |
| 7 | U-GAT-IT: Unsupervised Generative Attentional Networks with Adaptive Layer-Instance Normalization for Image-to-Image Translation | 2020 | 47 |
| 8 | 2019 | 14 | |
| 9 | 2017 | 0 | |
| 10 | 2017 | 34 | |
| 11 | 2015 | 34 | |
| 12 | 2012 | 0 |
About Minjae Kim
Minjae Kim is a scholar working on Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design and Signal Processing, having authored 12 papers that have together received 141 indexed citations. Recurring topics across this work include Speech and Audio Processing (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Vision and Imaging (2 papers), Video Surveillance and Tracking Methods (2 papers), Advanced Image Processing Techniques (2 papers), Video Analysis and Summarization (2 papers), Image and Signal Denoising Methods (1 paper) and Visual Attention and Saliency Detection (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (90 citations), Signal Processing (23 citations) and Computer Graphics and Computer-Aided Design (6 citations). Minjae Kim has collaborated with scholars based in South Korea, United States and Japan. Frequent co-authors include Hyeon-Woo Kang, Junho Kim, Hanseok Ko, David K. Han, Minhua Wu, Sankaran Panchapagesan, Nikko Ström, Kenichi Kumatani, Hyunjung Shim and Heonjun Yoon. Their work appears in journals such as IEEE Access, Mechanical Systems and Signal Processing and IEEE Transactions on Consumer Electronics.
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.