World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
80
Citations
46911
World Ranking
1049
National Ranking
559

Research.com Recognitions

  • 2017 - ACM Fellow For contributions to computer vision and computer graphics
  • 2002 - Fellow of Alfred P. Sloan Foundation

Overview

Steven M. Seitz is affiliated with the University of Washington in the United States. Their research spans multiple fields within computer science and engineering, with a primary focus on computer vision and graphics.

The main fields of study that Seitz has contributed to include:

  • Computer Science
  • Engineering

Their subfields of study comprise:

  • Computer Vision and Pattern Recognition
  • Control and Systems Engineering
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Cognitive Neuroscience

Seitz's research topics cover a range of advanced techniques and applications such as:

  • Advanced Vision and Imaging
  • 3D Shape Modeling and Analysis
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Video Surveillance and Tracking Methods
  • Virtual Reality Applications and Impacts
  • Robot Manipulation and Learning

The scientist has published extensively, including notable recent papers such as:

  • "HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields," 2021, arXiv (Cornell University)
  • "HyperNeRF," 2021, ACM Transactions on Graphics
  • "Project starline," 2021, ACM Transactions on Graphics
  • "Nerfies: Deformable Neural Radiance Fields," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Time-travel rephotography," 2021, ACM Transactions on Graphics

Seitz often collaborates with a set of frequent co-authors, including:

  • Brian Curless
  • Ira Kemelmacher-Shlizerman
  • Ricardo Martin-Brualla
  • Keunhong Park
  • Utkarsh Sinha

The scientist's work appears regularly in leading venues, with frequent publications in:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Repository KITopen (Karlsruhe Institute of Technology)
  • Journal of Vision

Steven M. Seitz has been recognized with distinctions including:

  • ACM Fellow, 2017, for contributions to computer vision and computer graphics
  • Fellow of Alfred P. Sloan Foundation, 2002

Best Publications

  • Photo tourism: exploring photo collections in 3D

    Noah Snavely;Steven M. Seitz;Richard Szeliski

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

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

  • Modeling the World from Internet Photo Collections

    Noah Snavely;Steven M. Seitz;Richard Szeliski

  • Photorealistic Scene Reconstruction by Voxel Coloring

    Steven M. Seitz;Charles R. Dyer

  • 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

  • A Theory of Shape by Space Carving

    Kiriakos N. Kutulakos;Steven M. Seitz

  • View morphing

    Steven M. Seitz;Charles R. Dyer

  • Synthesizing Obama: learning lip sync from audio

    Supasorn Suwajanakorn;Steven M. Seitz;Ira Kemelmacher-Shlizerman

  • Multicore bundle adjustment

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

  • DynamicFusion: Reconstruction and tracking of non-rigid scenes in real-time

    Richard A. Newcombe;Dieter Fox;Steven M. Seitz

  • Towards Internet-scale multi-view stereo

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

  • The MegaFace Benchmark: 1 Million Faces for Recognition at Scale

    Ira Kemelmacher-Shlizerman;Steven M. Seitz;Daniel Miller;Evan Brossard

  • 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

  • HyperNeRF

    Unknown

  • Bundle adjustment in the large

    Sameer Agarwal;Noah Snavely;Steven M. Seitz;Richard Szeliski

  • 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

  • Deformable Neural Radiance Fields.

    Keunhong Park;Utkarsh Sinha;Jonathan T. Barron;Sofien Bouaziz

Frequent Co-Authors

Brian Curless
Brian Curless University of Washington
Noah Snavely
Noah Snavely Cornell University
Richard Szeliski
Richard Szeliski University of Washington
Sameer Agarwal
Sameer Agarwal Google (United States)
Yasutaka Furukawa
Yasutaka Furukawa Simon Fraser University
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Charles R. Dyer
Charles R. Dyer University of Wisconsin–Madison
Dan B. Goldman
Dan B. Goldman Google (United States)
Kiriakos N. Kutulakos
Kiriakos N. Kutulakos University of Toronto
Michael Goesele
Michael Goesele Technical University of Darmstadt

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