2026 James J. Little: 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	58	3565	3464	141	133	228	17591

Research.com Recognitions

2023 - Research.com Computer Science in Canada Leader Award

Overview

James J. Little is affiliated with the University of British Columbia in Canada and has contributed extensively to the intersection of computer science and medicine. Their work spans multiple fields, primarily focusing on computer vision and pattern recognition as well as infectious diseases.

The scientist's research output includes 26 publications in computer science and 9 in medicine, with particular attention to subfields such as computer vision and pattern recognition, artificial intelligence, infectious diseases, epidemiology, and endocrinology, diabetes, and metabolism.

Key research topics covered by James J. Little include:

Human Pose and Action Recognition
Multimodal Machine Learning Applications
Video Analysis and Summarization
Video Surveillance and Tracking Methods
Advanced Vision and Imaging
SARS-CoV-2 and COVID-19 Research
Advanced Neural Network Applications

Their publication record features work in venues with a focus on computer science and related applications, including:

arXiv (Cornell University)
Environmental Sciences Europe
npj Vaccines
Health Security
Computer Vision and Image Understanding

Notable recent papers authored or coauthored by James J. Little include:

The NORMAN Suspect List Exchange (NORMAN-SLE): facilitating European and worldwide collaboration on suspect screening in high resolution mass spectrometry, 2022, Environmental Sciences Europe
Adjuvanted recombinant hemagglutinin H7 vaccine to highly pathogenic influenza A(H7N9) elicits high and sustained antibody responses in healthy adults, 2021, npj Vaccines
A Framework for Assessing Viral Pathogens: A Key Element of the BARDA Emerging Infectious Diseases Strategy, 2025, Health Security
ElePose: Unsupervised 3D Human Pose Estimation by Predicting Camera Elevation and Learning Normalizing Flows on 2D Poses, 2021, arXiv (Cornell University)
Implicit and explicit commonsense for multi-sentence video captioning, 2024, Computer Vision and Image Understanding

Frequent collaborators with James J. Little include:

Leonid Sigal
Shih-Han Chou
Helge Rhodin
Richard C. White
Brenda L. Fredericksen

Best Publications

A Boosted Particle Filter: Multitarget Detection and Tracking

Kenji Okuma;Ali Taleghani;Nando de Freitas;James J. Little

1533
Citations
A Simple Yet Effective Baseline for 3d Human Pose Estimation

Julieta Martinez;Rayat Hossain;Javier Romero;James J. Little

1498
Citations
Mobile Robot Localization and Mapping with Uncertainty using Scale-Invariant Visual Landmarks

Stephen Se;David G. Lowe;James J. Little

1196
Citations
Vision-based mobile robot localization and mapping using scale-invariant features

S. Se;D. Lowe;J. Little

795
Citations
Recognizing People by Their Gait : The Shape of Motion

J. Little

776
Citations
Vision-based global localization and mapping for mobile robots

S. Se;D.G. Lowe;J.J. Little

768
Citations
Using Real-Time Stereo Vision for Mobile Robot Navigation

Don Murray;James J. Little

653
Citations
Inverse perspective mapping simplifies optical flow computation and obstacle detection

Hanspeter A. Mallot;H. H. Bülthoff;J. J. Little;S. Bohrer

541
Citations
A Linear Programming Approach for Multiple Object Tracking

Hao Jiang;S. Fels;J.J. Little

433
Citations
THE TRIANGULATED IRREGULAR NETWORK

Thomas K. Peucker;Robert J. Fowler;James J. Little

397
Citations
Automatic extraction of Irregular Network digital terrain models

Robert J. Fowler;James J. Little

387
Citations
Exploiting Temporal Information for 3D Human Pose Estimation

Mir Rayat Imtiaz Hossain;James J. Little

368
Citations
Learning to Track and Identify Players from Broadcast Sports Videos

Wei-Lwun Lu;J.-A Ting;J. J. Little;K. P. Murphy

317
Citations
Global localization using distinctive visual features

Stephen Se;D. Lowe;J. Little

317
Citations
Robust Visual Tracking for Multiple Targets

Yizheng Cai;Nando De Freitas;James J. Little

284
Citations
Exploiting temporal information for 3D pose estimation

Mir Rayat Imtiaz Hossain;James J. Little

251
Citations
Biometric gait recognition

Jeffrey E. Boyd;James J. Little

251
Citations
Curious George: An attentive semantic robot

David Meger;Per-Erik Forssén;Kevin Lai;Scott Helmer

243
Citations
Parallel integration of vision modules.

T Poggio;EB Gamble;JJ Little

241
Citations
A parallel algorithm for real-time computation of optical flow.

HH Bülthoff;JJ Little;T Poggio

239
Citations

Frequent Co-Authors

David G. Lowe University of British Columbia

Alan K. Mackworth University of British Columbia

Elizabeth A. Croft Monash University

Jesse Hoey University of Waterloo

Heinrich H. Bülthoff Max Planck Institute for Biological Cybernetics

Tomaso Poggio MIT

Mark Schmidt University of British Columbia

Holger H. Hoos RWTH Aachen University

Sidney Fels University of British Columbia

Clarence W. de Silva University of British Columbia

External Links

Google Scholar page

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