World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
70
Citations
40183
World Ranking
1820
National Ranking
924

Research.com Recognitions

  • 2000 - Fellow of Alfred P. Sloan Foundation

Overview

Brian Curless is affiliated with the University of Washington in the United States. Their primary field of study is Computer Science, with a concentrated focus on several subfields including Computer Vision and Pattern Recognition, Physiology, Computational Mechanics, Computer Graphics and Computer-Aided Design, and Geology.

Their research topics cover a variety of areas, notably:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Image Enhancement Techniques
  • Computer Graphics and Visualization Techniques
  • Advanced Image Processing Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Body Composition Measurement Techniques

Brian Curless has contributed to multiple publications over the years. Selected recent papers include:

  • "HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video," 2022, published at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Monster mash," 2020, published in ACM Transactions on Graphics
  • "SLIDE: Single Image 3D Photography with Soft Layering and Depth-aware Inpainting," 2021, presented at the 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Predicting 3D body shape and body composition from conventional 2D photography," 2020, published in Medical Physics
  • "A pose-independent method for accurate and precise body composition from 3D optical scans," 2021, published in Obesity

Their work has appeared in several publication venues, most frequently in:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Medical Physics
  • Journal of Vision

Brian Curless has collaborated extensively with other researchers, with frequent co-authors including:

  • Ira Kemelmacher-Shlizerman (14 joint publications)
  • David Salesin (9 joint publications)
  • Steven M. Seitz (9 joint publications)
  • Steve Seitz (8 joint publications)
  • Janne Kontkanen (7 joint publications)

In recognition of their contributions, they were named a Fellow of the Alfred P. Sloan Foundation in 2000.

Best Publications

  • A volumetric method for building complex models from range images

    Brian Curless;Marc Levoy

  • A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms

    S.M. Seitz;B. Curless;J. Diebel;D. Scharstein

  • The digital Michelangelo project: 3D scanning of large statues

    Marc Levoy;Kari Pulli;Brian Curless;Szymon Rusinkiewicz

  • Building Rome in a day

    Sameer Agarwal;Yasutaka Furukawa;Noah Snavely;Ian Simon

  • Building Rome in a day

    Sameer Agarwal;Noah Snavely;Ian Simon;Steven M. Seitz

  • Image analogies

    Aaron Hertzmann;Charles E. Jacobs;Nuria Oliver;Brian Curless

  • The space of human body shapes: reconstruction and parameterization from range scans

    Brett Allen;Brian Curless;Zoran Popović

  • Interactive digital photomontage

    Aseem Agarwala;Mira Dontcheva;Maneesh Agrawala;Steven Drucker

  • A Bayesian approach to digital matting

    Yung-Yu Chuang;B. Curless;D.H. Salesin;R. Szeliski

  • Multicore bundle adjustment

    Changchang Wu;Sameer Agarwal;Brian Curless;Steven M. Seitz

  • Towards Internet-scale multi-view stereo

    Yasutaka Furukawa;Brian Curless;Steven M. Seitz;Richard Szeliski

  • Multi-View Stereo for Community Photo Collections

    M. Goesele;N. Snavely;B. Curless;H. Hoppe

  • Spacetime faces: high resolution capture for modeling and animation

    Li Zhang;Noah Snavely;Brian Curless;Steven M. Seitz

  • Rapid shape acquisition using color structured light and multi-pass dynamic programming

    Li Zhang;B. Curless;S.M. Seitz

  • Surface light fields for 3D photography

    Daniel N. Wood;Daniel I. Azuma;Ken Aldinger;Brian Curless

  • HumanNeRF: Free-viewpoint Rendering of Moving People from Monocular Video

    Unknown

  • Shape and Spatially-Varying BRDFs from Photometric Stereo

    Dan B Goldman;Brian Curless;Aaron Hertzmann;Steven M Seitz

  • Manhattan-world stereo

    Yasutaka Furukawa;Brian Curless;Steven M Seitz;Richard Szeliski

  • Video matting of complex scenes

    Yung-Yu Chuang;Aseem Agarwala;Brian Curless;David H. Salesin

  • Spacetime stereo: shape recovery for dynamic scenes

    Li Zhang;B. Curless;S.M. Seitz

  • Interactive Digital Photomonta g e

    Maneesh Agra;Brian Curless;Michael Cohen

Frequent Co-Authors

Steven M. Seitz
Steven M. Seitz University of Washington
David Salesin
David Salesin Google (United States)
Richard Szeliski
Richard Szeliski University of Washington
Zoran Popović
Zoran Popović University of Washington
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Maneesh Agrawala
Maneesh Agrawala Stanford University
Yasutaka Furukawa
Yasutaka Furukawa Simon Fraser University
Aseem Agarwala
Aseem Agarwala Adobe Systems (United States)
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Yung-Yu Chuang
Yung-Yu Chuang National Taiwan University

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