World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
7339
World Ranking
11078
National Ranking
555

Michael Goesele publication distribution in Computer Science in 2026

The chart shows the distribution of publications by all Research.com ranked scientists in the field of Computer Science in 2026. The highlighted bar marks where Michael Goesele sits on this spectrum.

32–41 publications: 7 scientists 42–51 publications: 22 scientists 52–61 publications: 82 scientists 62–71 publications: 134 scientists 72–81 publications: 249 scientists 82–91 publications: 324 scientists 92–101 publications: 421 scientists 102–111 publications: 420 scientists 112–121 publications: 497 scientists 122–131 publications: 544 scientists 132–141 publications: 555 scientists 142–151 publications: 609 scientists 152–161 publications: 559 scientists 162–171 publications: 534 scientists 172–181 publications: 556 scientists 182–191 publications: 583 scientists 192–201 publications: 519 scientists 202–211 publications: 508 scientists 212–221 publications: 490 scientists 222–231 publications: 437 scientists 232–241 publications: 423 scientists 242–251 publications: 408 scientists 252–261 publications: 377 scientists 262–271 publications: 301 scientists 272–281 publications: 335 scientists 282–291 publications: 320 scientists 292–301 publications: 293 scientists 302–311 publications: 250 scientists 312–321 publications: 238 scientists 322–331 publications: 206 scientists 332–341 publications: 209 scientists 342–351 publications: 208 scientists 352–361 publications: 162 scientists 362–371 publications: 176 scientists 372–381 publications: 127 scientists 382–391 publications: 158 scientists 392–401 publications: 128 scientists 402–411 publications: 104 scientists 412–421 publications: 94 scientists 422–431 publications: 99 scientists 432–441 publications: 83 scientists 442–451 publications: 108 scientists 452–461 publications: 73 scientists 462–471 publications: 77 scientists 472–481 publications: 69 scientists 482–491 publications: 84 scientists 492–501 publications: 62 scientists 502–511 publications: 54 scientists 512–521 publications: 57 scientists 522–531 publications: 51 scientists 532–541 publications: 51 scientists 542–551 publications: 32 scientists 552–561 publications: 38 scientists 562–571 publications: 28 scientists 572–581 publications: 43 scientists 582–591 publications: 33 scientists 592–601 publications: 41 scientists 602–611 publications: 32 scientists 612–621 publications: 28 scientists 622–631 publications: 25 scientists 632–641 publications: 27 scientists 642–651 publications: 17 scientists 652–661 publications: 20 scientists 662–671 publications: 17 scientists 672–681 publications: 15 scientists 682–691 publications: 14 scientists 692–701 publications: 21 scientists 702–711 publications: 13 scientists 712–721 publications: 12 scientists 722–731 publications: 19 scientists 732–741 publications: 14 scientists 742–751 publications: 12 scientists 752–761 publications: 10 scientists 762–771 publications: 10 scientists 772–781 publications: 11 scientists 782–791 publications: 10 scientists 792–801 publications: 11 scientists 802–811 publications: 8 scientists 812–821 publications: 8 scientists 822–831 publications: 7 scientists 832–841 publications: 11 scientists 842–851 publications: 10 scientists 852–861 publications: 5 scientists 862–871 publications: 9 scientists 872–881 publications: 4 scientists 882–891 publications: 6 scientists 892–901 publications: 3 scientists 902–911 publications: 6 scientists 912–921 publications: 3 scientists 922–931 publications: 2 scientists 932–941 publications: 2 scientists 942–951 publications: 2 scientists 952–961 publications: 3 scientists 962–971 publications: 3 scientists 972–981 publications: 3 scientists 982–990 publications: 5 scientists 991+ publications: 100 scientists
32 publications 991+

This scientist: 159 publications — 30th percentile

30% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 991 publications or more.

Michael Goesele D-index placement in Computer Science in 2026

The chart shows the D-index (discipline H-index) distribution of Computer Science scientists ranked by Research.com in 2026. The highlighted bar marks where Michael Goesele sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 983 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 968 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 763 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 518 scientists 54–55 D-Index: 500 scientists 56–57 D-Index: 458 scientists 58–59 D-Index: 400 scientists 60–61 D-Index: 337 scientists 62–63 D-Index: 308 scientists 64–65 D-Index: 292 scientists 66–67 D-Index: 249 scientists 68–69 D-Index: 213 scientists 70–71 D-Index: 192 scientists 72–73 D-Index: 189 scientists 74–75 D-Index: 165 scientists 76–77 D-Index: 139 scientists 78–79 D-Index: 119 scientists 80–81 D-Index: 121 scientists 82–83 D-Index: 113 scientists 84–85 D-Index: 88 scientists 86–87 D-Index: 87 scientists 88–89 D-Index: 75 scientists 90–91 D-Index: 69 scientists 92–93 D-Index: 57 scientists 94–95 D-Index: 46 scientists 96–97 D-Index: 38 scientists 98–99 D-Index: 34 scientists 100–101 D-Index: 36 scientists 102–103 D-Index: 27 scientists 104–105 D-Index: 37 scientists 106–107 D-Index: 18 scientists 108–109 D-Index: 31 scientists 110–111 D-Index: 19 scientists 112–113 D-Index: 16 scientists 114–115 D-Index: 12 scientists 116–117 D-Index: 20 scientists 118–119 D-Index: 15 scientists 120–121 D-Index: 5 scientists 122–123 D-Index: 20 scientists 124–125 D-Index: 8 scientists 126–127 D-Index: 5 scientists 128–129 D-Index: 7 scientists 130 D-Index: 3 scientists 131+ D-Index: 98 scientists
30 D-Index 131+

This scientist: 36 D-Index — 23rd percentile

23% of scientists in this discipline score the same or lower.

The last bar groups every scientist with 131 D-Index or more.

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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