World's Best Scientists 2026 revealed!
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Computer Science
USA
2026

D-Index & Metrics

Computer Science

D-Index
136
Citations
104884
World Ranking
84
National Ranking
53

Research.com Recognitions

  • 2026 - Research.com Computer Science in United States Leader Award
  • 2025 - Research.com Computer Science in United States Leader Award
  • 2023 - Research.com Computer Science in United States Leader Award
  • 2022 - Research.com Computer Science in United States Leader Award
  • 2015 - Member of the National Academy of Engineering For contributions to computer vision, computer graphics, and interactive image and video rendering.
  • 2008 - ACM Fellow For contributions to computational photography.

Overview

Richard Szeliski is affiliated with the University of Washington in the United States. Their research primarily spans the fields of Computer Science, Engineering, and Earth and Planetary Sciences.

The scientist's work covers several subfields including Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Aerospace Engineering, Geology, and Computational Mechanics.

Main research topics in their work include:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • 3D Shape Modeling and Analysis
  • Image Processing Techniques and Applications

Szeliski has published numerous scientific papers. Notable recent papers include:

  • "Consistent video depth estimation", 2020, ACM Transactions on Graphics
  • "Passthrough+", 2020, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • "Feature Query Networks: Neural Surface Description for Camera Pose Refinement", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
  • "Consistent Video Depth Estimation", 2020, arXiv (Cornell University)
  • "MERF: Memory-Efficient Radiance Fields for Real-time View Synthesis in Unbounded Scenes", 2023, arXiv (Cornell University)

The frequent coauthors collaborating with Szeliski include:

  • Jonathan T. Barron
  • Peter Hedman
  • Christian Reiser
  • Dor Verbin
  • Pratul P. Srinivasan

The scientist has contributed to book publications, including:

  • Computer Vision, published by Springer International Publishing in 2022

Frequent publication venues for Szeliski include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)

Awards received by Richard Szeliski are:

  • Member of the National Academy of Engineering, 2015, for contributions to computer vision, computer graphics, and interactive image and video rendering
  • ACM Fellow, 2008, for contributions to computational photography

Best Publications

  • Computer Vision: Algorithms and Applications

    Richard Szeliski

  • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms

    D. Scharstein;R. Szeliski;R. Zabih

  • Photo tourism: exploring photo collections in 3D

    Noah Snavely;Steven M. Seitz;Richard Szeliski

  • The lumigraph

    Steven J. Gortler;Radek Grzeszczuk;Richard Szeliski;Michael F. Cohen

  • A Database and Evaluation Methodology for Optical Flow

    Simon Baker;Daniel Scharstein;J. P. Lewis;Stefan Roth

  • 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

  • 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 Alignment and Stitching: A Tutorial

    Richard Szeliski

  • High-accuracy stereo depth maps using structured light

    D. Scharstein;R. Szeliski

  • High-quality video view interpolation using a layered representation

    C. Lawrence Zitnick;Sing Bing Kang;Matthew Uyttendaele;Simon Winder

  • Layered depth images

    Jonathan Shade;Steven Gortler;Li-wei He;Richard Szeliski

  • Edge-preserving decompositions for multi-scale tone and detail manipulation

    Zeev Farbman;Raanan Fattal;Dani Lischinski;Richard Szeliski

  • A Database and Evaluation Methodology for Optical Flow

    S. Baker;D. Scharstein;J.P. Lewis;S. Roth

  • Digital photography with flash and no-flash image pairs

    Georg Petschnigg;Richard Szeliski;Maneesh Agrawala;Michael Cohen

  • Video mosaics for virtual environments

    R. Szeliski

  • Creating full view panoramic image mosaics and environment maps

    Richard Szeliski;Heung-Yeung Shum

  • A Comparative Study of Energy Minimization Methods for Markov Random Fields with Smoothness-Based Priors

    R. Szeliski;R. Zabih;D. Scharstein;O. Veksler

  • Synthesizing realistic facial expressions from photographs

    Frédéric Pighin;Jamie Hecker;Dani Lischinski;Richard Szeliski

Frequent Co-Authors

Sing Bing Kang
Sing Bing Kang Zillow Group (United States)
Matthew T. Uyttendaele
Matthew T. Uyttendaele Microsoft (United States)
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Sudipta N. Sinha
Sudipta N. Sinha Microsoft (United States)
David Salesin
David Salesin Google (United States)
Steven M. Seitz
Steven M. Seitz University of Washington
Michael F. Cohen
Michael F. Cohen Facebook (United States)
Brian Curless
Brian Curless University of Washington
Gary W. Flake
Gary W. Flake Independent Scientist / Consultant, US
Steven M. Drucker
Steven M. Drucker Microsoft (United States)

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