World's Best Scientists 2026 revealed!

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Computer Science

D-Index
40
Citations
9132
World Ranking
9147
National Ranking
364

Overview

Mark S. Drew is affiliated with Simon Fraser University in Canada. Their research contributions span multiple fields, predominantly in Computer Science with additional work in Physics and Astronomy and Engineering.

The scientist's main fields of study include:

  • Computer Science
  • Physics and Astronomy
  • Engineering

Within these fields, their subfields of expertise cover:

  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications
  • Signal Processing
  • Sociology and Political Science
  • Artificial Intelligence

Mark S. Drew's research topics are diverse, with a strong focus on multimedia and imaging technologies. Their main topics of work include:

  • Advanced Data Compression Techniques
  • Caching and Content Delivery
  • Image and Signal Denoising Methods
  • Advanced Vision and Imaging
  • Multimedia Communication and Technology
  • Image Retrieval and Classification Techniques
  • Advanced Image and Video Retrieval Techniques

The scientist's recent publications illustrate their cross-disciplinary interests. Notable papers are:

  • 'Illumination-based Transformations Improve Skin Lesion Segmentation in Dermoscopic Images', 2020, published in arXiv (Cornell University)
  • 'More Crop per Drop' and water use efficiency in the National Water Policy of Pakistan, 2023, Agricultural Water Management
  • New Estimates of the Spin and Accretion Rate of the Black Hole M87*, 2025, The Astrophysical Journal Letters
  • October 2022, 2022, Australian Journal of Emergency Management

Among the frequent coauthors working with Mark S. Drew are:

  • Ze-Nian Li
  • Jiangchuan Liu
  • Kumar Abhishek
  • Ghassan Hamarneh
  • Sorour Mohajerani

The scientist's works appear in a variety of publication venues, reflecting the interdisciplinary nature of their research:

  • arXiv (Cornell University)
  • The Astrophysical Journal Letters
  • Agricultural Water Management
  • Australian Journal of Emergency Management
  • London Imaging Meeting

Mark S. Drew has also contributed to academic literature through a book published by Springer International Publishing:

  • Fundamentals of Multimedia, 2021

Best Publications

  • On the removal of shadows from images

    G.D. Finlayson;S.D. Hordley;Cheng Lu;M.S. Drew

  • Removing Shadows from Images

    Graham D. Finlayson;Steven D. Hordley;Mark S. Drew

  • Fundamentals of multimedia

    Ze-Nian Li;Mark S. Drew;Jiangchuan Liu

  • Spectral sharpening: sensor transformations for improved color constancy

    Graham D. Finlayson;Mark S. Drew;Brian V. Funt

  • Color image processing pipeline

    R. Ramanath;W.E. Snyder;Y. Yoo;M.S. Drew

  • Intrinsic Images by Entropy Minimization

    Graham D. Finlayson;Mark S. Drew;Cheng Lu

  • Entropy Minimization for Shadow Removal

    Graham D. Finlayson;Mark S. Drew;Cheng Lu

  • Color constancy - Generalized diagonal transforms suffice

    Graham D. Finlayson;Mark S. Drew;Brian V. Funt

  • Color constancy from mutual reflection

    Brian V. Funt;Mark S. Drew;Jian Ho

  • Recovering Shading from Color Images

    Brian V. Funt;Mark S. Drew;Michael Brockington

  • Unsupervised Discovery of Action Classes

    Yang Wang;Hao Jiang;M.S. Drew;Ze-Nian Li

  • Exemplar-Based Color Constancy and Multiple Illumination

    Hamid Reza Vaezi Joze;Mark S. Drew

  • Constrained least-squares regression in color spaces

    Graham D. Finlayson;Mark S. Drew

  • Diagonal transforms suffice for color constancy

    G.D. Finlayson;M.S. Drew;B.V. Funt

  • Review and Preview: Disocclusion by Inpainting for Image-Based Rendering

    Z. Tauber;Ze-Nian Li;M.S. Drew

  • Removing shadows from Images using retinex

    Graham D. Finlayson;Steven D. Hordley;Mark S. Drew

  • Color space analysis of mutual illumination

    Brian V. Funt;Mark S. Drew

  • Illumination-invariant color object recognition via compressed chromaticity histograms of color-channel-normalized images

    M.S. Drew;Jie Wei;Ze-Nian Li

  • Matching by Linear Programming and Successive Convexification

    Hao Jiang;M.S. Drew;Ze-Nian Li

  • Color constancy computation in near-Mondrian scenes using a finite dimensional linear model

    B.V. Funt;M.S. Drew

Frequent Co-Authors

Graham D. Finlayson
Graham D. Finlayson University of East Anglia
Brian V. Funt
Brian V. Funt Simon Fraser University
Ghassan Hamarneh
Ghassan Hamarneh Simon Fraser University
Torsten Möller
Torsten Möller University of Vienna
Simone Bianco
Simone Bianco University of Milano-Bicocca
Josiane Zerubia
Josiane Zerubia French Institute for Research in Computer Science and Automation - INRIA
M. Ronnier Luo
M. Ronnier Luo Zhejiang University
Greg Mori
Greg Mori Simon Fraser University

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