World's Best Scientists 2026 revealed!
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Computer Science
Canada
2023

D-Index & Metrics

Computer Science

D-Index
55
Citations
135554
World Ranking
4168
National Ranking
162

Research.com Recognitions

  • 2023 - Research.com Computer Science in Canada Leader Award

Overview

David G. Lowe is affiliated with the University of British Columbia in Canada and focuses primarily on research within the social sciences. Their work spans several subfields, including sociology and political science, surgery, political science and international relations, molecular biology, and computer vision and pattern recognition.

The scientist's research topics include Australian history and society, paleontology and stratigraphy of fossils, colonial history and postcolonial studies, commonwealth politics including Australian politics and federalism, as well as technical subjects such as machine fault diagnosis techniques, fault detection and control systems, and engineering diagnostics and reliability.

Frequent publication venues for David G. Lowe are:

  • History Australia
  • Abstracts with programs - Geological Society of America
  • ISA Transactions
  • Scientific Reports
  • Finance and Economics Discussion Series

Recent scholarly articles authored or co-authored by David G. Lowe include:

  • Early and extremely early multi-label fault diagnosis in induction motors, 2020, ISA Transactions
  • Wireless monitoring and real-time adaptive predictive indicator of deterioration, 2020, Scientific Reports
  • Global Stablecoins: Monetary Policy Implementation Considerations from the U.S. Perspective, 2021, Finance and Economics Discussion Series
  • Can historians influence public policy? Challenges and possibilities, 2021, History Australia
  • New Zealand and the Colombo Plan in the long 1950s, 2020, History Australia

David G. Lowe has collaborated frequently with several co-authors, including:

  • Kate Darian-Smith
  • Carolyn Holbrook
  • Amit Sarwal
  • Mario Juez-Gil
  • Juan José Saucedo-Dorantes

The scientist has also contributed to book publications with notable publishers. Their works include:

  • Rising Power and Changing People: The Australian High Commission in India, published by ANU Press in 2022
  • The Australian Embassy in Tokyo and Australia-Japan Relations, published by ANU Press in 2022
  • The Colombo Plan, forthcoming in 2025 by Cambridge University Press

This profile reflects a multidisciplinary academic career intersecting social sciences with technical and historical research themes, emphasizing Australian history and political studies alongside engineering and molecular biology topics.

Best Publications

  • Distinctive Image Features from Scale-Invariant Keypoints

    David G. Lowe

  • Object recognition from local scale-invariant features

    D.G. Lowe

  • FAST APPROXIMATE NEAREST NEIGHBORS WITH AUTOMATIC ALGORITHM CONFIGURATION

    Marius Muja;David G. Lowe

  • Automatic Panoramic Image Stitching using Invariant Features

    Matthew Brown;David G. Lowe

  • Unsupervised Learning of Depth and Ego-Motion from Video

    Tinghui Zhou;Matthew Brown;Noah Snavely;David G. Lowe

  • Three-dimensional object recognition from single two-dimensional images

    D G Lowe

  • Perceptual Organization and Visual Recognition

    David G. Lowe

  • Scalable Nearest Neighbor Algorithms for High Dimensional Data

    Marius Muja;David G. Lowe

  • Shape indexing using approximate nearest-neighbour search in high-dimensional spaces

    J.S. Beis;D.G. Lowe

  • A Boosted Particle Filter: Multitarget Detection and Tracking

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

  • Fitting parameterized three-dimensional models to images

    D.G. Lowe

  • Invariant Features from Interest Point Groups

    Matthew Brown;David G. Lowe

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

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

  • Local feature view clustering for 3D object recognition

    D.G. Lowe

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

    S. Se;D. Lowe;J. Little

  • Vision-based global localization and mapping for mobile robots

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

  • Method and apparatus for identifying scale invariant features in an image and use of same for locating an object in an image

    David G. Lowe

  • Multiclass Object Recognition with Sparse, Localized Features

    J. Mutch;D.G. Lowe

  • Robust Model-based Motion Tracking Through the Integration of Search and Estimation

    David G. Lowe

  • Low-Shot Learning with Imprinted Weights

    Hang Qi;Matthew Brown;David G. Lowe

  • Recognising Panoramas

    M. Brown;D. G. Lowe

Frequent Co-Authors

James J. Little
James J. Little University of British Columbia
Peter D. Lawrence
Peter D. Lawrence University of British Columbia
Septimiu E. Salcudean
Septimiu E. Salcudean University of British Columbia
Dinesh K. Pai
Dinesh K. Pai University of British Columbia
Robert Rohling
Robert Rohling University of British Columbia
Noah Snavely
Noah Snavely Cornell University
Kevin Lai
Kevin Lai Samsara
Gustavo Carneiro
Gustavo Carneiro University of Surrey
Radu Bogdan Rusu
Radu Bogdan Rusu Fyusion, Inc
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)

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