World's Best Scientists 2026 revealed!
Michael J. Gormish

Michael J. Gormish

D-Index & Metrics

Computer Science

D-Index
33
Citations
5744
World Ranking
12522
National Ranking
5082

Overview

Michael J. Gormish is affiliated with Clarifai in the United States and has contributed to research primarily in the field of computer science. Their work focuses on various subfields including computer vision and pattern recognition, otorhinolaryngology, cognitive neuroscience, pulmonary and respiratory medicine, and artificial intelligence.

The scientist's publication record includes papers presented in several venues such as the Proceedings of the AAAI Conference on Artificial Intelligence, npj Digital Medicine, Machine Vision and Applications, and arXiv (Cornell University). This reflects a diverse engagement with both conference proceedings and journal publications.

Key recent papers include:

  • Video Person Re-ID: Fantastic Techniques and Where to Find Them (Student Abstract), 2020, Proceedings of the AAAI Conference on Artificial Intelligence
  • Development and validation of a smartphone-based deep-learning-enabled system to detect middle-ear conditions in otoscopic images, 2024, npj Digital Medicine
  • Coarse2Fine: a two-stage training method for fine-grained visual classification, 2021, Machine Vision and Applications
  • Enhancing Worldwide Image Geolocation by Ensembling Satellite-Based Ground-Level Attribute Predictors, 2024, arXiv (Cornell University)

Frequent co-authors in their publications include David Eigen, Amir Erfan Eshratifar, Priyank Pathak, Constance Dubois, and François Simon, indicating collaborative work with other researchers active in related fields.

Their research covers topics organized around:

  • Video Surveillance and Tracking Methods
  • Face recognition and analysis
  • Face and Expression Recognition
  • Ear Surgery and Otitis Media
  • Hearing Loss and Rehabilitation
  • Phonocardiography and Auscultation Techniques
  • Advanced Neural Network Applications

This breadth of topics relates closely to the interdisciplinary nature of their publications, which integrate computational methods with medical and cognitive science domains. The six publications classified under computer vision and pattern recognition emphasize significant involvement in visual data analysis.

Michael J. Gormish's contributions reflect an intersection of artificial intelligence techniques with practical applications in health and surveillance, maintaining a relevant presence across multiple specialized areas within computer science and biomedical research.

Best Publications

  • An overview of JPEG-2000

    M.W. Marcellin;M.J. Gormish;A. Bilgin;M.P. Boliek

  • Method and apparatus for encoding and decoding data

    Edward L. Schwartz;Michael J. Gormish;James D. Allen;Martin Boliek

  • Compression and decompression system with reversible wavelets and lossy reconstruction

    Martin Boliek;Michael J. Gormish;Alexander F. Keith;Edward L. Schwartz

  • Reformatting documents using document analysis information

    Kathrin Berkner;Christophe Marle;Edward L. Schwartz;Michael J. Gormish

  • Method and apparatus for compression using reversible wavelet transforms and an embedded codestream

    Ahmad Zandi;Edward L. Schwartz;Michael J. Gormish;Martin Boliek

  • Reversible wavelet transform and embedded codestream manipulation

    Ahmad Zandi;Edward L. Schwartz;Michael J. Gormish;Martin Boliek

  • Method and Apparatus for Parallel Encoding and Decoding of Data

    James D. Allen;Martin Boliek;Michael Gormish;Edward L. Schwartz

  • Compression/decompression using reversible embedded wavelets

    Alexander F. Keith;Edward L. Schwartz;Ahmad Zandi;Martin Boliek

  • Lossless and nearly lossless compression for high quality images

    Michael J. Gormish;Edward L. Schwartz;Alexander F. Keith;Martin P. Boliek

  • Compression and decompression with wavelet style and binary style including quantization by device-dependent parser

    Alexander F. Keith;Edward L. Schwartz;Ahmad Zandi;Martin Boliek

  • Apparatus and method for performing m-ary finite state machine entropy coding

    Michael J. Gormish;Edward L. Schwartz

  • Method and apparatus for editing an image while maintaining codestream size

    Edward Schwartz;Michael Gormish;Martin Boliek;Kok Wu

  • Method and apparatus for compressing arbitrary data

    Michael J. Gormish;Edward L. Schwartz;Ahmad Zandi;James D. Allen

  • Method and Apparatus for Securing Executable Programs Against Copying

    Edward L. Schwartz;Michael J. Gormish

  • Data compression for indexed color image data

    Michael J. Gormish;Edward L. Schwartz

  • Method and apparatus for using finite state machines to perform channel modulation and error correction and entropy coding

    Michael J. Menlo Park Gormish;James Dow Menlo Park Allen

  • JPEG 2000 for efficent imaging in a client/server environment

    Martin Boliek;Kok Gi Wu;Michael J. Gormish

  • Device enabled verifiable stroke and image based workflows

    Michael J. Gormish;John W. Barrus;Kurt W. Piersol;Richard D. Kosoglow

  • JPEG 2000: overview, architecture, and applications

    M.J. Gormish;D. Lee;M.W. Marcellin

  • Enhancement of compressed images

    Kathrin Berkner;Michael J. Gormish;Edward L. Schwartz

Frequent Co-Authors

Edward L. Schwartz
Edward L. Schwartz Ricoh (Japan)
Kurt Piersol
Kurt Piersol Apple (United States)
David G. Stork
David G. Stork Stanford University
Peter E. Hart
Peter E. Hart Independent Scientist / Consultant, US
Berna Erol
Berna Erol Ricoh (Japan)
Gregory J. Wolff
Gregory J. Wolff UnaMesa Association
Michael W. Marcellin
Michael W. Marcellin University of Arizona
Dar-Shyang Lee
Dar-Shyang Lee Google (United States)
Jonathan J. Hull
Jonathan J. Hull Independent Scientist / Consultant, US
Silvio Savarese
Silvio Savarese Stanford University

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