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Computer Science

D-Index
36
Citations
7339
World Ranking
11080
National Ranking
554

Overview

Michael Goesele is affiliated with the Technical University of Darmstadt in Germany. Their research primarily focuses on computer science, with a particular emphasis on computer vision and pattern recognition. The scientist's work spans multiple subfields, including computer graphics and computer-aided design, artificial intelligence, aerospace engineering, and human-computer interaction.

Their research contributions cover a range of topics such as advanced vision and imaging, computer graphics and visualization techniques, generative adversarial networks and image synthesis, advanced neural network applications, image enhancement techniques, domain adaptation and few-shot learning, and video surveillance and tracking methods.

Michael Goesele has published extensively in several venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 International Conference on 3D Vision (3DV)
  • ISPRS annals of the photogrammetry, remote sensing and spatial information sciences

Recent papers authored or co-authored by Michael Goesele include:

  • Neural 3D Video Synthesis from Multi-view Video, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Neural 3D Video Synthesis, 2024, arXiv (Cornell University)
  • Project Aria: A New Tool for Egocentric Multi-Modal AI Research, 2023, arXiv (Cornell University)
  • LR-CNN: LOCAL-AWARE REGION CNN FOR VEHICLE DETECTION IN AERIAL IMAGERY, 2020, ISPRS annals of the photogrammetry, remote sensing and spatial information sciences
  • Recovering Real-World Reflectance Properties and Shading From HDR Imagery, 2021, 2021 International Conference on 3D Vision (3DV)

Michael Goesele frequently collaborates with several researchers. Co-authors appearing often in their work include:

  • Richard Newcombe
  • Simon Green
  • Tanner Schmidt
  • Steven Lovegrove
  • Zhaoyang Lv

Best Publications

  • Multi-View Stereo for Community Photo Collections

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

  • Multi-View Stereo Revisited

    M. Goesele;B. Curless;S.M. Seitz

  • The Replica Dataset: A Digital Replica of Indoor Spaces.

    Julian Straub;Thomas Whelan;Lingni Ma;Yufan Chen

  • Image-based reconstruction of spatial appearance and geometric detail

    Hendrik P. A. Lensch;Jan Kautz;Michael Goesele;Wolfgang Heidrich

  • Let There Be Color! Large-Scale Texturing of 3D Reconstructions

    Michael Waechter;Nils Moehrle;Michael Goesele

  • MVE: a multi-view reconstruction environment

    Simon Fuhrmann;Fabian Langguth;Michael Goesele

  • Image-based reconstruction of spatially varying materials

    Hendrik P. A. Lensch;Jan Kautz;Michael Goesele;Wolfgang Heidrich

  • Floating scale surface reconstruction

    Simon Fuhrmann;Michael Goesele

  • Scene Reconstruction and Visualization From Community Photo Collections

    Noah Snavely;Ian Simon;Michael Goesele;Richard Szeliski

  • DISCO: acquisition of translucent objects

    Michael Goesele;Hendrik P. A. Lensch;Jochen Lang;Christian Fuchs

  • Back to the Future: Learning Shape Models from 3D CAD Data

    Michael Stark;Michael Goesele;Bernt Schiele

  • Mesostructure from Specularity

    Tongbo Chen;M. Goesele;H.-P. Seidel

  • Image-based rendering for scenes with reflections

    Sudipta N. Sinha;Johannes Kopf;Michael Goesele;Daniel Scharstein

  • 3D Acquisition of mirroring objects using striped patterns

    Marco Tarini;Hendrik P. A. Lensch;Michael Goesele;Hans-Peter Seidel

  • Interactive rendering of translucent objects

    H.P.A. Lensch;M. Goesele;P. Bekaert;J. Kautz

  • Interactive Rendering of Translucent Objects

    Hendrik P.A. Lensch;Michael Goesele;Philippe Bekaert;Jan Kautz

  • Detail-Preserving Pooling in Deep Networks

    Faraz Saeedan;Nicolas Weber;Michael Goesele;Stefan Roth

  • A shape-based object class model for knowledge transfer

    Michael Stark;Michael Goesele;Bernt Schiele

  • Relighting objects from image collections

    Tom Haber;Christian Fuchs;Philippe Bekaer;Hans-Peter Seidel

  • Fusion of depth maps with multiple scales

    Simon Fuhrmann;Michael Goesele

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen
Jan Kautz
Jan Kautz Nvidia (United States)
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Arjan Kuijper
Arjan Kuijper Fraunhofer Society
Stefan Roth
Stefan Roth Technical University of Darmstadt
Richard Szeliski
Richard Szeliski University of Washington
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Holger Theisel
Holger Theisel Otto-von-Guericke University Magdeburg
Steven M. Seitz
Steven M. Seitz University of Washington

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