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Michael S. Brown

Michael S. Brown

D-Index & Metrics

Computer Science

D-Index
63
Citations
16096
World Ranking
2755
National Ranking
103

Overview

Michael S. Brown is affiliated with York University in Canada, focusing primarily on computer science, with significant contributions to computer vision and pattern recognition. Their research spans advanced imaging, image processing, and color science.

The scientist has coauthored frequently with several colleagues, including Marcus A. Brubaker, Abdelrahman Abdelhamed, Mahmoud Afifi, Abhijith Punnappurath, and Radu Timofte. These collaborations have contributed to various research outputs in the field.

Michael S. Brown's recent publications include the following papers:

  • NTIRE 2022 Challenge on Night Photography Rendering, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • Day-to-Night Image Synthesis for Training Nighttime Neural ISPs, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Noise2NoiseFlow: Realistic Camera Noise Modeling without Clean Images, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Modeling sRGB Camera Noise with Normalizing Flows, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • AIM 2020: Scene Relighting and Illumination Estimation Challenge, 2020, arXiv (Cornell University)

The scientist has published extensively in several venues, with frequent contributions to:

  • arXiv (Cornell University)
  • Color and Imaging Conference
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Proceedings of the AAAI Conference on Artificial Intelligence
  • IEEE Access

The main fields of study for Michael S. Brown lie in computer science, with a focus on the following subfields:

  • Computer Vision and Pattern Recognition
  • Surgery
  • Atomic and Molecular Physics, and Optics
  • Media Technology
  • Electrical and Electronic Engineering

The primary topics covered by their research include:

  • Image Enhancement Techniques
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Color Science and Applications
  • Image and Signal Denoising Methods
  • Image Processing Techniques and Applications
  • CCD and CMOS Imaging Sensors

Best Publications

  • Rain Streak Removal Using Layer Priors

    Yu Li;Robby T. Tan;Xiaojie Guo;Jiangbo Lu

  • A High-Quality Denoising Dataset for Smartphone Cameras

    Abdelrahman Abdelhamed;Stephen Lin;Michael S. Brown

  • As-Projective-As-Possible Image Stitching with Moving DLT

    Unknown

  • High quality depth map upsampling for 3D-TOF cameras

    Jaesik Park;Hyeongwoo Kim;Yu-Wing Tai;Michael S. Brown

  • As-Projective-As-Possible Image Stitching with Moving DLT

    Julio Zaragoza;Tat-Jun Chin;Quoc-Huy Tran;Michael S. Brown

  • Multi-projector displays using camera-based registration

    R. Raskar;M.S. Brown;Ruigang Yang;Wei-Chao Chen

  • Super resolution using edge prior and single image detail synthesis

    Yu-Wing Tai;Shuaicheng Liu;Michael S. Brown;Stephen Lin

  • Multi-projector displays using camera-based registration

    Unknown

  • Single Image Layer Separation Using Relative Smoothness

    Yu Li;Michael S. Brown

  • Constructing image panoramas using dual-homography warping

    Junhong Gao;Seon Joo Kim;Michael S. Brown

  • Richardson-Lucy Deblurring for Scenes under a Projective Motion Path

    Yu-Wing Tai;Ping Tan;M. S. Brown

  • Illuminant estimation for color constancy: why spatial-domain methods work and the role of the color distribution

    Dongliang Cheng;Dilip K Prasad;Michael S Brown

  • Camera-based calibration techniques for seamless multiprojector displays

    M. Brown;A. Majumder;R. Yang

  • PixelFlex: a reconfigurable multi-projector display system

    Ruigang Yang;David Gotz;Justin Hensley;Herman Towles

  • Nighttime Haze Removal with Glow and Multiple Light Colors

    Yu Li;Robby T. Tan;Michael S. Brown

  • Product data integration in B2B e-commerce

    D. Fensel;Ying Ding;B. Omelayenko;E. Schulten

  • Training-Based Spectral Reconstruction from a Single RGB Image

    Rang M. H. Nguyen;Dilip K. Prasad;Michael S. Brown

  • Exploiting Reflection Change for Automatic Reflection Removal

    Yu Li;Michael S. Brown

  • Image restoration of arbitrarily warped documents

    M.S. Brown;W.B. Seales

  • A New In-Camera Imaging Model for Color Computer Vision and Its Application

    Seon Joo Kim;Hai Ting Lin;Zheng Lu;Sabine Süsstrunk

  • Image/video deblurring using a hybrid camera

    Yu-Wing Tai;Hao Du;M.S. Brown;S. Lin

  • Globally Optimized Linear Windowed Tone Mapping

    Qi Shan;Jiaya Jia;Michael S Brown

Frequent Co-Authors

Yu-Wing Tai
Yu-Wing Tai Hong Kong University of Science and Technology
Ruigang Yang
Ruigang Yang University of Kentucky
Brian Price
Brian Price Adobe Systems (United States)
Scott Cohen
Scott Cohen Adobe Systems (United States)
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Chi-Keung Tang
Chi-Keung Tang Hong Kong University of Science and Technology
Radu Timofte
Radu Timofte University of Wurzburg
Sabine Süsstrunk
Sabine Süsstrunk École Polytechnique Fédérale de Lausanne
Chew Lim Tan
Chew Lim Tan National University of Singapore
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill

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