2026 Michael S. Ryoo: Computer Science Researcher – H-Index, Publications & Awards

Discipline name	D-Index	World Ranking	Current World Ranking	National Ranking	Current National Ranking	Publications	Citations
Computer Science	43	7822	7598	3383	3256	157	11203

Michael S. Ryoo publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael S. Ryoo sits on this spectrum.

32 publications 991+

This scientist: 157 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael S. Ryoo D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael S. Ryoo sits on this spectrum.

30 D-Index 131+

This scientist: 43 D-Index — 46th percentile

46% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

Overview

Michael S. Ryoo is affiliated with Stony Brook University in the United States and has contributed extensively to the field of computer science, particularly in areas related to computer vision and artificial intelligence. Their research output spans multiple subfields, including computer vision and pattern recognition, artificial intelligence, signal processing, computer networks and communications, and biophysics.

The primary areas of research focus include:

Multimodal Machine Learning Applications
Human Pose and Action Recognition
Domain Adaptation and Few-Shot Learning
Advanced Neural Network Applications
Anomaly Detection Techniques and Applications
Generative Adversarial Networks and Image Synthesis
Video Analysis and Summarization

Among recent publications, notable works are:

"RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control" (2023, arXiv Cornell University)
"Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language" (2022, arXiv Cornell University)
"Self-supervised Video Transformer" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition [CVPR])
"Toward Collaborative Inferencing of Deep Neural Networks on Internet-of-Things Devices" (2020, IEEE Internet of Things Journal)
"MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition [CVPR])

The publication venues in which Michael S. Ryoo most frequently publishes include:

arXiv (Cornell University)
2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
Proceedings of the AAAI Conference on Artificial Intelligence
Lecture Notes in Computer Science
IEEE Internet of Things Journal

Collaborations form an important part of their research process, with frequent coauthors such as:

AJ Piergiovanni
Kumara Kahatapitiya
Anelia Angelova
Kanchana Ranasinghe
Jinghuan Shang

Michael S. Ryoo's work notably centers on applying deep learning and multimodal reasoning techniques to problems involving vision and language, robotic control, and video understanding. This multidisciplinary approach integrates advanced neural network models and adaptive learning strategies across a range of emerging technologies in artificial intelligence.

Best Publications

Human activity analysis: A review

J.K. Aggarwal;M.S. Ryoo

2845
Citations
Spatio-temporal relationship match: Video structure comparison for recognition of complex human activities

M. S. Ryoo;J. K. Aggarwal

774
Citations
Human activity prediction: Early recognition of ongoing activities from streaming videos

M. S. Ryoo

676
Citations
Socratic Models: Composing Zero-Shot Multimodal Reasoning with Language

Unknown

478
Citations
RT-2: Vision-Language-Action Models Transfer Web Knowledge to Robotic Control

Unknown

421
Citations
Recognition of Composite Human Activities through Context-Free Grammar Based Representation

M.S. Ryoo;J.K. Aggarwal

375
Citations
First-Person Activity Recognition: What Are They Doing to Me?

Michael S. Ryoo;Larry Matthies

352
Citations
RT-1: Robotics Transformer for Real-World Control at Scale

Unknown

328
Citations
Semantic Representation and Recognition of Continued and Recursive Human Activities

M. S. Ryoo;J. K. Aggarwal

214
Citations
Learning to Anonymize Faces for Privacy Preserving Action Detection

Zhongzheng Ren;Yong Jae Lee;Michael S. Ryoo

214
Citations
Pooled motion features for first-person videos

M. S. Ryoo;Brandon Rothrock;Larry Matthies

211
Citations
An overview of contest on semantic description of human activities (SDHA) 2010

M. S. Ryoo;Chia-Chih Chen;J. K. Aggarwal;Amit Roy-Chowdhury

196
Citations
Privacy-Preserving Human Activity Recognition from Extreme Low Resolution.

Michael S. Ryoo;Brandon Rothrock;Charles Fleming;Hyun Jong Yang

194
Citations
Open-vocabulary Queryable Scene Representations for Real World Planning

Unknown

183
Citations
Representation Flow for Action Recognition

AJ Piergiovanni;Michael S. Ryoo

174
Citations
Stochastic Representation and Recognition of High-Level Group Activities

M. S. Ryoo;J. K. Aggarwal

160
Citations
Robot-Centric Activity Prediction from First-Person Videos: What Will They Do to Me?

M. S. Ryoo;Thomas J. Fuchs;Lu Xia;J. K. Aggarwal

159
Citations
Evolving Losses for Unsupervised Video Representation Learning

AJ Piergiovanni;Anelia Angelova;Michael S. Ryoo

141
Citations
MS-TCT: Multi-Scale Temporal ConvTransformer for Action Detection

Unknown

124
Citations
First-Person Animal Activity Recognition from Egocentric Videos

Yumi Iwashita;Asamichi Takamine;Ryo Kurazume;M. S. Ryoo

102
Citations
Learning Latent Super-Events to Detect Multiple Activities in Videos

AJ Piergiovanni;Michael S. Ryoo

87
Citations
Distributed Perception by Collaborative Robots

Ramyad Hadidi;Jiashen Cao;Matthew Woodward;Michael S. Ryoo

86
Citations
Hierarchical Recognition of Human Activities Interacting with Objects

M.S. Ryoo;J.K. Aggarwal

82
Citations
Detection of abandoned objects in crowded environments

M. Bhargava;Chia-Chih Chen;M.S. Ryoo;J.K. Aggarwal

81
Citations
Stochastic representation and recognition of high-level group activities: Describing structural uncertainties in human activities

M S Ryoo;J K Aggarwal

12
Citations

Frequent Co-Authors

Anelia Angelova Google (United States)

Jake K. Aggarwal The University of Texas at Austin

Hyesoon Kim Georgia Institute of Technology

Larry Matthies Jet Propulsion Lab

Alexander Toshev Apple (United States)

Yong Jae Lee University of Wisconsin–Madison

Song-Chun Zhu Peking University

David J. Crandall Indiana University

Kris M. Kitani Carnegie Mellon University

Irfan Essa Georgia Institute of Technology

External Links

Personal website of Michael S. Ryoo Google Scholar page

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