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Computer Science

D-Index
41
Citations
12738
World Ranking
8610
National Ranking
3690

Overview

Dan B. Goldman is a researcher primarily affiliated with Google in the United States. Their work spans multiple fields within computer science and engineering, focusing extensively on areas related to computer vision, computer graphics, and computational mechanics.

The scientist has contributed to numerous papers published in reputable venues, reflecting a sustained engagement with cutting-edge research topics. Some of the recent papers authored or coauthored by Dan B. Goldman include:

  • HyperNeRF, 2021, ACM Transactions on Graphics
  • Neural RGB-D Surface Reconstruction, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • HyperNeRF: A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields, 2021, arXiv (Cornell University)
  • Nerfies: Deformable Neural Radiance Fields, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • State of the Art on Neural Rendering, 2020, Computer Graphics Forum

Frequent collaborators in their research include:

  • Ricardo Martin-Brualla
  • Sofien Bouaziz
  • Keunhong Park
  • Utkarsh Sinha
  • Peter Hedman

The venues where Dan B. Goldman has several publications indicate the focus and impact within the research community. These venues include:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • Computer Graphics Forum

The scientist's main fields of study comprise:

  • Computer Science
  • Engineering

Within these broader fields, their subfields of study are identified as:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Computational Mechanics
  • Biophysics
  • Aerospace Engineering

The primary research topics covered in their work focus on:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • Cell Image Analysis Techniques
  • Advanced Image and Video Retrieval Techniques
  • Robotics and Sensor-Based Localization

Best Publications

  • PatchMatch: a randomized correspondence algorithm for structural image editing

    Connelly Barnes;Eli Shechtman;Adam Finkelstein;Dan B Goldman

  • The generalized patchmatch correspondence algorithm

    Connelly Barnes;Eli Shechtman;Dan B. Goldman;Adam Finkelstein

  • HyperNeRF

    Unknown

  • Image melding: combining inconsistent images using patch-based synthesis

    Soheil Darabi;Eli Shechtman;Connelly Barnes;Dan B. Goldman

  • Shape and Spatially-Varying BRDFs from Photometric Stereo

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

  • Robust patch-based hdr reconstruction of dynamic scenes

    Pradeep Sen;Nima Khademi Kalantari;Maziar Yaesoubi;Soheil Darabi

  • Non-rigid dense correspondence with applications for image enhancement

    Yoav HaCohen;Eli Shechtman;Dan B. Goldman;Dani Lischinski

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • Vignette and Exposure Calibration and Compensation

    D B Goldman

  • Neural RGB-D Surface Reconstruction.

    Dejan Azinovic;Ricardo Martin-Brualla;Dan B. Goldman;Matthias Nießner

  • Schematic storyboarding for video visualization and editing

    Dan B Goldman;Brian Curless;David Salesin;Steven M. Seitz

  • Text-based editing of talking-head video

    Ohad Fried;Ayush Tewari;Michael Zollhöfer;Adam Finkelstein

  • Shape and spatially-varying BRDFs from photometric stereo

    D.B. Goldman;B. Curless;A. Hertzmann;S.M. Seitz

  • Interactive 3D modeling of indoor environments with a consumer depth camera

    Hao Du;Peter Henry;Xiaofeng Ren;Marvin Cheng

  • Video object annotation, navigation, and composition

    Dan B. Goldman;Chris Gonterman;Brian Curless;David Salesin

  • Neural Rerendering in the Wild

    Moustafa Meshry;Dan B. Goldman;Sameh Khamis;Hugues Hoppe

  • Learning Video Saliency from Human Gaze Using Candidate Selection

    Dmitry Rudoy;Dan B. Goldman;Eli Shechtman;Lihi Zelnik-Manor

  • Vignette and exposure calibration and compensation

    D.B. Goldman;Jiun-Hung Chen

  • Animating pictures with stochastic motion textures

    Yung-Yu Chuang;Dan B Goldman;Ke Colin Zheng;Brian Curless

  • Deformable Neural Radiance Fields.

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

  • PatchMatch: A Randomized Correspondence Algorithm for Structural Image Editing

    Unknown

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

Frequent Co-Authors

Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Adam Finkelstein
Adam Finkelstein Princeton University
Steven M. Seitz
Steven M. Seitz University of Washington
Brian Curless
Brian Curless University of Washington
Maneesh Agrawala
Maneesh Agrawala Stanford University
Sean Ryan Fanello
Sean Ryan Fanello Google (United States)
David Salesin
David Salesin Google (United States)
Michael Zollhöfer
Michael Zollhöfer Stanford University
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Justus Thies
Justus Thies Technical University of Munich

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