Michael S. Ryoo
Impact in
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- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Context-Aware Activity Recognition Systems
- Multimodal Machine Learning Applications
- Video Analysis and Summarization
- Human-Computer Interaction top 0.5%
- Hand Gesture Recognition Systems
Papers in
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- Human Pose and Action Recognition 47
- Multimodal Machine Learning Applications 23
- Video Surveillance and Tracking Methods 19
- Advanced Neural Network Applications 10
- Video Analysis and Summarization 8
- Context-Aware Activity Recognition Systems 7
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- Anomaly Detection Techniques and Applications 23
- Domain Adaptation and Few-Shot Learning 9
- Co-authors
- J.K. AggarwalLarry MatthiesHyun Jong YangRamyad HadidiHyesoon KimJiashen CaoCharles B. FlemingBrandon Rothrock
- Journals
- International Journal of Computer Vision (4 papers)Computer Vision and Image Understanding (2 papers)Image and Vision Computing (1 paper)Microscopy and Microanalysis (1 paper)IEEE Robotics and Automation Letters (1 paper)
- Partner nations
- United StatesSouth KoreaFrance
In The Last Decade
Michael S. Ryoo
86 papers receiving 3.8k citations
Hit Papers
Peers
Comparison fields: 5 of 116
- Computer Vision and Pattern Recognition 3.4k
- Human-Computer Interaction 545
- Artificial Intelligence 1.9k
- Signal Processing 183
- Biomedical Engineering 724
Countries citing papers authored by Michael S. Ryoo
This map shows the geographic impact of Michael S. Ryoo'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 Michael S. Ryoo with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michael S. Ryoo more than expected).
Fields of papers citing papers by Michael S. Ryoo
This network shows the impact of papers produced by Michael S. Ryoo. 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 Michael S. Ryoo. The network helps show where Michael S. Ryoo may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Michael S. Ryoo, 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 | 1 | |
| 2 | 2024 | 4 | |
| 3 | 2024 | 4 | |
| 4 | 2024 | 11 | |
| 5 | 2024 | 1 | |
| 6 | 2024 | 5 | |
| 7 | 2023 | 1 | |
| 8 | 2023 | 82 | |
| 9 | 2023 | 1 | |
| 10 | 2023 | 2 | |
| 11 | 2023 | 1 | |
| 12 | 2022 | 54 | |
| 13 | TokenLearner: Adaptive Space-Time Tokenization for Videos | 2021 | 52 |
| 14 | 2019 | 7 | |
| 15 | Learning Shared Multimodal Embeddings with Unpaired Data. | 2018 | 2 |
| 16 | Forecasting Hand and Object Locations in Future Frames. | 2017 | 6 |
| 17 | 2017 | 1 | |
| 18 | Privacy-Preserving Egocentric Activity Recognition from Extreme Low Resolution. | 2016 | 2 |
| 19 | Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities Hit paper breakdown → | 2009 | 396 |
| 20 | Robust human-computer interaction system guiding a user by providing feedback | 2007 | 6 |
About Michael S. Ryoo
Michael S. Ryoo is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Human-Computer Interaction, Computer Graphics and Computer-Aided Design and Media Technology, having authored 86 papers that have together received 4.0k indexed citations. Recurring topics across this work include Human Pose and Action Recognition (47 papers), Multimodal Machine Learning Applications (23 papers), Anomaly Detection Techniques and Applications (23 papers), Video Surveillance and Tracking Methods (19 papers), Advanced Neural Network Applications (10 papers), Domain Adaptation and Few-Shot Learning (9 papers), Video Analysis and Summarization (8 papers) and Context-Aware Activity Recognition Systems (7 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (3.4k citations), Human-Computer Interaction (545 citations), Artificial Intelligence (1.9k citations), Signal Processing (183 citations) and Biomedical Engineering (724 citations). Michael S. Ryoo has collaborated with scholars based in United States, South Korea and France. Frequent co-authors include J.K. Aggarwal, Larry Matthies, Hyun Jong Yang, Ramyad Hadidi, Hyesoon Kim, Jiashen Cao, Charles B. Fleming, Brandon Rothrock, AJ Piergiovanni and Lu Xia. Their work appears in journals such as International Journal of Computer Vision, Computer Vision and Image Understanding, Image and Vision Computing, Microscopy and Microanalysis and IEEE Robotics and Automation Letters.
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.