World's Best Scientists 2026 revealed!
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Computer Science
Australia
2025

D-Index & Metrics

Computer Science

D-Index
89
Citations
79216
World Ranking
624
National Ranking
13

Research.com Recognitions

  • 2025 - Research.com Computer Science in Australia Leader Award
  • 2023 - Research.com Computer Science in Australia Leader Award
  • 2022 - Research.com Computer Science in Australia Leader Award

Overview

Richard Hartley is affiliated with the Australian National University in Australia. Their primary field of study is Computer Science, with a strong focus on Computer Vision and Pattern Recognition, where they have contributed extensively through 63 publications. Additional subfields include Artificial Intelligence, Radiology, Nuclear Medicine and Imaging, Pulmonary and Respiratory Medicine, and Control and Systems Engineering.

Their research covers a range of specialized topics reflecting current trends in machine learning and computer vision. Key areas include:

  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Adversarial Robustness in Machine Learning
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • Domain Adaptation and Few-Shot Learning
  • Human Pose and Action Recognition

Hartley has contributed to various publication venues, with a notable concentration in the following:

  • arXiv (Cornell University)
  • IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • IEEE Transactions on Information Forensics and Security
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Their recent papers include the following works:

  • Learning to Estimate Hidden Motions with Global Motion Aggregation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Learning Saliency From Single Noisy Labelling: A Robust Model Fitting Perspective, 2020, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks, 2020, arXiv (Cornell University)
  • BAGM: A Backdoor Attack for Manipulating Text-to-Image Generative Models, 2024, IEEE Transactions on Information Forensics and Security
  • Intra Order-preserving Functions for Calibration of Multi-Class Neural Networks, 2020, arXiv (Cornell University)

Richard Hartley has collaborated regularly with several frequent co-authors, reflecting active engagement in research networks. These co-authors include:

  • Naveed Akhtar
  • Ajmal Mian
  • Thalaiyasingam Ajanthan
  • Dylan Campbell
  • Hongdong Li

Best Publications

  • Multiple view geometry in computer vision

    Richard Hartley;Andrew Zisserman

  • Bundle Adjustment - A Modern Synthesis

    Bill Triggs;Philip F. McLauchlan;Richard I. Hartley;Andrew W. Fitzgibbon

  • Multiple View Geometry in Computer Vision (2nd ed)

    Richard Hartley;Andrew Zisserman

  • In defense of the eight-point algorithm

    R.I. Hartley

  • In defence of the 8-point algorithm

    R.I. Hartley

  • Multiple View Geometry

    Richard Hartley;Andrew Zisserman

  • Multiple view geometry in computer visiond

    Richard Hartley;Andrew Zisserman

  • Estimation of Relative Camera Positions for Uncalibrated Cameras

    Richard I. Hartley

  • Optimised KD-trees for fast image descriptor matching

    C. Silpa-Anan;R. Hartley

  • Subexpression sharing in filters using canonic signed digit multipliers

    R.I. Hartley

  • Person Reidentification Using Spatiotemporal Appearance

    N. Gheissari;T.B. Sebastian;R. Hartley

  • Stereo from uncalibrated cameras

    R. Hartley;R. Gupta;T. Chang

  • Theory and Practice of Projective Rectification

    Richard I. Hartley

  • Euclidean Reconstruction from Uncalibrated Views

    Richard I. Hartley

  • Linear pushbroom cameras

    R. Gupta;R.I. Hartley

  • Triangulation, Computer Vision and Image Understanding

    R. I. Hartley

  • Self-calibration from multiple views with a rotating camera

    Richard I. Hartley

  • Self-Calibration of Stationary Cameras

    Richard I. Hartley

  • Parameter-Free Radial Distortion Correction with Center of Distortion Estimation

    R. Hartley;Sing Bing Kang

  • Motion segmentation with missing data using PowerFactorization and GPCA

    R. Vidal;R. Hartley

  • Rotation Averaging

    Unknown

Frequent Co-Authors

Hongdong Li
Hongdong Li Australian National University
Mehrtash Harandi
Mehrtash Harandi Monash University
Mathieu Salzmann
Mathieu Salzmann École Polytechnique Fédérale de Lausanne
Andrew Zisserman
Andrew Zisserman University of Oxford
Fredrik Kahl
Fredrik Kahl Chalmers University of Technology
Stephen Gould
Stephen Gould Australian National University
Adrien Bartoli
Adrien Bartoli University of Clermont Auvergne
Conrad Sanderson
Conrad Sanderson Commonwealth Scientific and Industrial Research Organisation
Brian C. Lovell
Brian C. Lovell University of Queensland
Yuchao Dai
Yuchao Dai Northwestern Polytechnical University

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