World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
48
Citations
66356
World Ranking
5988
National Ranking
2694

Overview

Michael Jones is affiliated with Mitsubishi Electric (United States) and has contributed extensively to research within the field of computer science. Their work primarily focuses on various subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Hardware and Architecture, Human-Computer Interaction, and Computer Networks and Communications.

Their publication record reflects a sustained engagement with several key topics such as Advanced Neural Network Applications, Parallel Computing and Optimization Techniques, Innovative Human-Technology Interaction, Anomaly Detection Techniques and Applications, Multimodal Machine Learning Applications, Cloud Computing and Resource Management, and Creativity in Education and Neuroscience.

Michael Jones has coauthored research with several frequent collaborators including Suhas Lohit, Vijay Gadepally, Jeremy Kepner, Kuan-Chuan Peng, and Peter Michaleas.

The scientist's recent papers illustrate a range of research interests and publication venues:

  • "LUVLi Face Alignment: Estimating Landmarks' Location, Uncertainty, and Visibility Likelihood" (2020), published in arXiv (Cornell University)
  • "From Words to Watts: Benchmarking the Energy Costs of Large Language Model Inference" (2023), published in arXiv (Cornell University)
  • "Perceptual metric learning for video anomaly detection" (2021), published in Machine Vision and Applications
  • "A Green(er) World for A.I." (2022), published in 2022 IEEE International Parallel and Distributed Processing Symposium Workshops (IPDPSW)
  • "State of Black men in nursing: An oral history of the challenges and the benefits of five Black male nurse leaders" (2024), published in Nursing Outlook

The distribution of their publications shows a strong presence in arXiv with sixteen publications, along with contributions to Frontiers in Computer Science, Nursing Outlook, Machine Vision and Applications, and the IPDPSW workshops.

Best Publications

  • Rapid object detection using a boosted cascade of simple features

    P. Viola;M. Jones

  • Robust Real-Time Face Detection

    Paul Viola;Michael J. Jones

  • Detecting Pedestrians Using Patterns of Motion and Appearance

    Paul Viola;Michael J. Jones;Daniel Snow

  • Statistical color models with application to skin detection

    M.J. Jones;J.M. Rehg

  • Regularization theory and neural networks architectures

    Federico Girosi;Michael Jones;Tomaso Poggio

  • An improved deep learning architecture for person re-identification

    Ejaz Ahmed;Michael Jones;Tim K. Marks

  • Fast Multi-view Face Detection

    Michael Jones;Paul Viola

  • Robust real-time face detection

    P. Viola;M. Jones

  • Fast and Robust Classification using Asymmetric AdaBoost and a Detector Cascade

    Paul Viola;Michael Jones

  • A Multi-stream Bi-directional Recurrent Neural Network for Fine-Grained Action Detection

    Bharat Singh;Tim K. Marks;Michael Jones;Oncel Tuzel

  • A Monte Carlo algorithm for fast projective clustering

    Cecilia M. Procopiuc;Michael Jones;Pankaj K. Agarwal;T. M. Murali

  • Method and system for object detection in digital images

    Michael J. Jones;Paul Viola

  • Fully automatic pose-invariant face recognition via 3D pose normalization

    Akshay Asthana;Tim K. Marks;Michael J. Jones;Kinh H. Tieu

  • A Survey of Single-Scene Video Anomaly Detection.

    Bharathkumar Ramachandra;Michael J. Jones;Ranga Raju Vatsavai

  • Survey and Benchmarking of Machine Learning Accelerators

    Albert Reuther;Peter Michaleas;Michael Jones;Vijay Gadepally

  • Interactive Supercomputing on 40,000 Cores for Machine Learning and Data Analysis

    Albert Reuther;Jeremy Kepner;Chansup Byun;Siddharth Samsi

  • Priors Stabilizers and Basis Functions: From Regularization to Radial, Tensor and Additive Splines

    Federico Girosi;Michael Jones;Tomaso Poggio

  • Multidimensional morphable models: a framework for representing and matching object classes

    Michael Jeffrey Jones;Tomaso Poggio

  • A bootstrapping algorithm for learning linear models of object classes

    T. Vetter;M.J. Jones;T. Poggio

  • Face Recognition Using Boosted Local Features

    Michael J. Jones;Paul Viola

  • System and method for detecting objects in images

    Paul A. Viola;Michael J. Jones

  • Multidimensional morphable models

    M.J. Jones;T. Poggio

  • Image analysis and synthesis networks using shape and texture information

    Tomaso Poggio;David Beymer;Michael Jones;Thomas Vetter

Frequent Co-Authors

Paul A. Viola
Paul A. Viola Microsoft (United States)
Guodong Guo
Guodong Guo West Virginia University
Thomas Vetter
Thomas Vetter University of Basel
Oncel Tuzel
Oncel Tuzel Apple (United States)
Cynthia Rudin
Cynthia Rudin Duke University
Timothy J. Davis
Timothy J. Davis University of Melbourne
Toshiaki Koike-Akino
Toshiaki Koike-Akino Mitsubishi Electric (United States)
Anoop Cherian
Anoop Cherian Mitsubishi Electric (United States)

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