H-Index & Metrics Best Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science D-index 122 Citations 92,694 286 World Ranking 43 National Ranking 27

Research.com Recognitions

Awards & Achievements

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

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer graphics

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Computer graphics, Iterative reconstruction and Pixel. His Artificial intelligence study combines topics from a wide range of disciplines, such as Algorithm and Pattern recognition. His Computer vision study frequently draws connections between related disciplines such as Computer graphics.

His Computer graphics study incorporates themes from Image stitching, Parallax, Panorama and Visualization. His Iterative reconstruction study combines topics in areas such as 3D reconstruction, Layer, Cluster analysis, Stereopsis and Matching. His Pixel research includes themes of Image sensor, Frame, High dynamic range, Radiance and Stereo camera.

His most cited work include:

  • A taxonomy and evaluation of dense two-frame stereo correspondence algorithms (6041 citations)
  • Photo tourism: exploring photo collections in 3D (2510 citations)
  • Computer Vision: Algorithms and Applications (2410 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of investigation include Artificial intelligence, Computer vision, Computer graphics, Pixel and Image. His research integrates issues of Algorithm and Pattern recognition in his study of Artificial intelligence. His studies in Algorithm integrate themes in fields like Ground truth and Mathematical optimization.

Much of his study explores Computer vision relationship to Interpolation. His research investigates the connection with Computer graphics and areas like Video capture which intersect with concerns in Video tracking. His Pixel research integrates issues from Image resolution, Planar, Plane and Stereopsis.

He most often published in these fields:

  • Artificial intelligence (75.26%)
  • Computer vision (68.30%)
  • Computer graphics (28.61%)

What were the highlights of his more recent work (between 2011-2020)?

  • Artificial intelligence (75.26%)
  • Computer vision (68.30%)
  • Computer graphics (28.61%)

In recent papers he was focusing on the following fields of study:

Richard Szeliski mostly deals with Artificial intelligence, Computer vision, Computer graphics, Rendering and Image. Richard Szeliski has researched Artificial intelligence in several fields, including Mobile device and Pattern recognition. Richard Szeliski combines subjects such as Representation and Virtual reality with his study of Computer vision.

His Computer graphics study combines topics in areas such as Video capture and Stereoscopy. Richard Szeliski interconnects Augmented reality, Web crawler and Image object in the investigation of issues within Rendering. The concepts of his Image study are interwoven with issues in Virtual image and Ranking.

Between 2011 and 2020, his most popular works were:

  • Navigating images using image based geometric alignment and object based controls (224 citations)
  • First-person hyper-lapse videos (147 citations)
  • Image Restoration by Matching Gradient Distributions (115 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Algorithm

Richard Szeliski focuses on Artificial intelligence, Computer vision, Computer graphics, Rendering and Image stitching. His Artificial intelligence research includes themes of Computation and Piecewise. Richard Szeliski works mostly in the field of Computation, limiting it down to concerns involving Bundle adjustment and, occasionally, Algorithm.

His study in Image-based modeling and rendering, Pixel, Kernel, Image and Structure from motion is carried out as part of his Computer vision studies. His Rendering research includes elements of Image resolution, Point cloud and Feature vector. The study incorporates disciplines such as Panorama, Image stabilization and Virtual reality in addition to Image stitching.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Best Publications

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

D. Scharstein;R. Szeliski;R. Zabih.
International Journal of Computer Vision (2001)

6628 Citations

Computer Vision: Algorithms and Applications

Richard Szeliski.
(2010)

5505 Citations

Photo tourism: exploring photo collections in 3D

Noah Snavely;Steven M. Seitz;Richard Szeliski.
international conference on computer graphics and interactive techniques (2006)

3750 Citations

The lumigraph

Steven J. Gortler;Radek Grzeszczuk;Richard Szeliski;Michael F. Cohen.
international conference on computer graphics and interactive techniques (1996)

3308 Citations

A Database and Evaluation Methodology for Optical Flow

Simon Baker;Daniel Scharstein;J. P. Lewis;Stefan Roth.
International Journal of Computer Vision (2011)

2706 Citations

A Comparison and Evaluation of Multi-View Stereo Reconstruction Algorithms

S.M. Seitz;B. Curless;J. Diebel;D. Scharstein.
computer vision and pattern recognition (2006)

2512 Citations

Modeling the World from Internet Photo Collections

Noah Snavely;Steven M. Seitz;Richard Szeliski.
International Journal of Computer Vision (2008)

2230 Citations

Image Alignment and Stitching: A Tutorial

Richard Szeliski.
(2006)

2062 Citations

Building Rome in a day

Sameer Agarwal;Yasutaka Furukawa;Noah Snavely;Ian Simon.
Communications of The ACM (2011)

2021 Citations

Building Rome in a day

Sameer Agarwal;Noah Snavely;Ian Simon;Steven M. Seitz.
international conference on computer vision (2009)

1990 Citations

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Best Scientists Citing Richard Szeliski

Marc Pollefeys

Marc Pollefeys

ETH Zurich

Publications: 194

Heung-Yeung Shum

Heung-Yeung Shum

Microsoft (United States)

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Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

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Luc Van Gool

Luc Van Gool

ETH Zurich

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Takeo Kanade

Takeo Kanade

Carnegie Mellon University

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Adrian Hilton

Adrian Hilton

University of Surrey

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Sing Bing Kang

Sing Bing Kang

Zillow Group (United States)

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Jan-Michael Frahm

Jan-Michael Frahm

University of North Carolina at Chapel Hill

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Kwanghoon Sohn

Kwanghoon Sohn

Yonsei University

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Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

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Marcus Magnor

Marcus Magnor

Technische Universität Braunschweig

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In So Kweon

In So Kweon

Korea Advanced Institute of Science and Technology

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Qionghai Dai

Qionghai Dai

Tsinghua University

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Steven M. Seitz

Steven M. Seitz

University of Washington

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Jingyi Yu

Jingyi Yu

ShanghaiTech University

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Carsten Rother

Carsten Rother

Heidelberg University

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