World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
9507
World Ranking
5639
National Ranking
172

Research.com Recognitions

  • 2008 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to video and medical image analysis and service to the IAPR.

Overview

Brian C. Lovell is affiliated with the University of Queensland in Australia. Their research work spans the fields of Computer Science and Physics and Astronomy, with a significant focus on subfields such as Astronomy and Astrophysics, Computer Vision and Pattern Recognition, Artificial Intelligence, Geophysics, and Radiology, Nuclear Medicine and Imaging.

Their research covers several main topics, including:

  • Ionosphere and magnetosphere dynamics
  • Solar and Space Plasma Dynamics
  • Domain Adaptation and Few-Shot Learning
  • Earthquake Detection and Analysis
  • Advanced Neural Network Applications
  • Astro and Planetary Science
  • Multimodal Machine Learning Applications

Brian C. Lovell has published extensively, with frequent contributions to the following venues:

  • Journal of Geophysical Research Space Physics
  • arXiv (Cornell University)
  • Atmosphere
  • Computer Vision and Image Understanding
  • Preprints.org

Among their recent papers are:

  • Faster ILOD: Incremental learning for object detectors based on faster RCNN, 2020, Pattern Recognition Letters
  • SID: Incremental learning for anchor-free object detection via Selective and Inter-related Distillation, 2021, Computer Vision and Image Understanding
  • Investigating the Coupled Magnetosphere-Ionosphere-Thermosphere (M-I-T) System's Responses to the 20 November 2003 Superstorm, 2021, Journal of Geophysical Research Space Physics
  • EBIT: Weakly-supervised image translation with edge and boundary enhancement, 2020, Pattern Recognition Letters
  • Minimizing Labeling Cost for Nuclei Instance Segmentation and Classification with Cross-domain Images and Weak Labels, 2021, Proceedings of the AAAI Conference on Artificial Intelligence

They have frequently collaborated with several co-authors, including:

  • Ildiko Horvath
  • Can Peng
  • Kun Zhao
  • Meng Li
  • Sam Maksoud

In 2008, Brian C. Lovell was awarded the status of Fellow of the International Association for Pattern Recognition (IAPR) for contributions to video and medical image analysis and service to the IAPR.

Best Publications

  • Unsupervised Domain Adaptation by Domain Invariant Projection

    Mahsa Baktashmotlagh;Mahsa Baktashmotlagh;Mehrtash T. Harandi;Mehrtash T. Harandi;Brian C. Lovell;Mathieu Salzmann;Mathieu Salzmann

  • Shadow detection: A survey and comparative evaluation of recent methods

    Andres Sanin;Conrad Sanderson;Brian C. Lovell

  • Patch-based probabilistic image quality assessment for face selection and improved video-based face recognition

    Yongkang Wong;Shaokang Chen;Sandra Mau;Conrad Sanderson

  • Multi-Region Probabilistic Histograms for Robust and Scalable Identity Inference

    Conrad Sanderson;Brian C. Lovell

  • Graph embedding discriminant analysis on Grassmannian manifolds for improved image set matching

    Mehrtash T. Harandi;Conrad Sanderson;Sareh Shirazi;Brian C. Lovell

  • Unsupervised cell nucleus segmentation with active contours

    Pascal Bamford;Brian Lovell

  • Improved anomaly detection in crowded scenes via cell-based analysis of foreground speed, size and texture

    Vikas Reddy;Conrad Sanderson;Brian C. Lovell

  • Sparse coding and dictionary learning for symmetric positive definite matrices: a kernel approach

    Mehrtash T. Harandi;Conrad Sanderson;Richard Hartley;Brian C. Lovell

  • Spatio-temporal covariance descriptors for action and gesture recognition

    A. Sanin;C. Sanderson;M. T. Harandi;B. C. Lovell

  • Improved Shadow Removal for Robust Person Tracking in Surveillance Scenarios

    Andres Sanin;Conrad Sanderson;Brian C. Lovell

  • The statistical performance of some instantaneous frequency estimators

    B.C. Lovell;R.C. Williamson

  • Dictionary Learning and Sparse Coding on Grassmann Manifolds: An Extrinsic Solution

    Mehrtash Harandi;Conrad Sanderson;Chunhua Shen;Brian Lovell

  • Face Recognition on Consumer Devices: Reflections on Replay Attacks

    Daniel F. Smith;Arnold Wiliem;Brian C. Lovell

  • Domain Adaptation on the Statistical Manifold

    Mahsa Baktashmotlagh;Mehrtash T. Harandi;Brian C. Lovell;Mathieu Salzmann

  • Faster ILOD: Incremental learning for object detectors based on faster RCNN

    Can Peng;Kun Zhao;Brian C. Lovell

  • Kernel analysis over Riemannian manifolds for visual recognition of actions, pedestrians and textures

    Mehrtash T. Harandi;Conrad Sanderson;Arnold Wiliem;Brian C. Lovell

  • Improved Foreground Detection via Block-Based Classifier Cascade With Probabilistic Decision Integration

    V. Reddy;C. Sanderson;B. C. Lovell

  • TV-GAN: Generative Adversarial Network Based Thermal to Visible Face Recognition

    Teng Zhang;Arnold Wiliem;Siqi Yang;Brian Lovell

  • A low-complexity algorithm for static background estimation from cluttered image sequences in surveillance contexts

    Vikas Reddy;Conrad Sanderson;Brian C. Lovell

  • Extrinsic Methods for Coding and Dictionary Learning on Grassmann Manifolds

    Mehrtash Harandi;Richard Hartley;Chunhua Shen;Brian Lovell

  • Corner detection based on gradient correlation matrices of planar curves

    Xiaohong Zhang;Hongxing Wang;Andrew W. B. Smith;Xu Ling

  • Digital Image Computing: Techniques and Applications (DICTA 2005)

    B. C. Lovell;A. J. Maeder;T. Caelli;S. Ourselin

Frequent Co-Authors

Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Mehrtash Harandi
Mehrtash Harandi Monash University
Boualem Boashash
Boualem Boashash University of Queensland
Andrew P. Bradley
Andrew P. Bradley Queensland University of Technology
Mathieu Salzmann
Mathieu Salzmann École Polytechnique Fédérale de Lausanne
Richard Hartley
Richard Hartley Australian National University
Mario Vento
Mario Vento University of Salerno
Rodney F. Minchin
Rodney F. Minchin University of Queensland
Chunhua Shen
Chunhua Shen Zhejiang University
Robert C. Williamson
Robert C. Williamson University of Tübingen

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