Kyle Min
Impact in
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- Human Pose and Action Recognition
- Visual Attention and Saliency Detection
- Advanced Neural Network Applications
- Multimodal Machine Learning Applications
- Signal Processing top 10%
- Speech and Audio Processing
Papers in
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- Human Pose and Action Recognition 5
- Multimodal Machine Learning Applications 4
- Visual Attention and Saliency Detection 2
- Generative Adversarial Networks and Image Synthesis 2
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- Domain Adaptation and Few-Shot Learning 3
- Adversarial Robustness in Machine Learning 1
- Topic Modeling 1
- Co-authors
- Jason J. Corso (3 shared papers)Subarna Tripathi (7 shared papers)Honglak Lee (1 shared paper)Kibok Lee (1 shared paper)Jinwoo Shin (1 shared paper)Kimin Lee (1 shared paper)Tanaya Guha (1 shared paper)Sourya Roy (1 shared paper)
- Journals
- Lecture notes in computer science (3 papers)IEEE Winter Conference on Applications of Computer Vision (1 paper)IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (1 paper)IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (2 papers)IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings (5 papers)
- Partner nations
- United StatesSouth KoreaItaly
In The Last Decade
Kyle Min
11 papers receiving 408 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 337
- Signal Processing 30
- Human-Computer Interaction 17
- Artificial Intelligence 63
- Automotive Engineering 11
Countries citing papers authored by Kyle Min
This map shows the geographic impact of Kyle Min'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 Kyle Min with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kyle Min more than expected).
Fields of papers citing papers by Kyle Min
This network shows the impact of papers produced by Kyle Min. 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 Kyle Min. The network helps show where Kyle Min may publish in the future.
Co-authors
The 22 scholars most cited alongside Kyle Min, 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 | 2019 | 137 | |
| 2 | 2020 | 92 | |
| 3 | 2018 | 55 | |
| 4 | 2022 | 32 | |
| 5 | 2021 | 31 | |
| 6 | 2023 | 25 | |
| 7 | 2024 | 20 | |
| 8 | 2023 | 12 | |
| 9 | 2024 | 8 | |
| 10 | 2024 | 3 | |
| 11 | 2022 | 1 | |
| 12 | 2025 | 0 | |
| 13 | 2025 | 0 | |
| 14 | 2025 | 0 | |
| 15 | 2025 | 0 | |
| 16 | 2025 | 0 |
About Kyle Min
Kyle Min is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Signal Processing and Computational Mechanics, having authored 16 papers that have together received 416 indexed citations. Recurring topics across this work include Human Pose and Action Recognition (5 papers), Multimodal Machine Learning Applications (4 papers), Domain Adaptation and Few-Shot Learning (3 papers), Speech and Audio Processing (2 papers), Visual Attention and Saliency Detection (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Adversarial Robustness in Machine Learning (1 paper) and Topic Modeling (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (337 citations), Signal Processing (30 citations), Human-Computer Interaction (17 citations), Artificial Intelligence (63 citations) and Automotive Engineering (11 citations). Kyle Min has collaborated with scholars based in United States, South Korea and Italy. Frequent co-authors include Jason J. Corso, Subarna Tripathi, Honglak Lee, Kibok Lee, Jinwoo Shin, Kimin Lee, Tanaya Guha, Sourya Roy, Amit K. Roy–Chowdhury and Maitreya Patel. Their work appears in journals such as Lecture notes in computer science, IEEE Winter Conference on Applications of Computer Vision, IEEE/CVF International Conference on Computer Vision Workshops (ICCVW), IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings.
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.