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Computer Science
Switzerland
2026

D-Index & Metrics

Computer Science

D-Index
116
Citations
72307
World Ranking
171
National Ranking
5

Pascal Fua 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 Pascal Fua 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: 564 publications — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Pascal Fua 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 Pascal Fua 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: 116 D-Index — 99th percentile

99% of scientists in this discipline score the same or lower.

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

Research.com Recognitions

  • 2026 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award

Overview

Pascal Fua is affiliated with the École Polytechnique Fédérale de Lausanne in Switzerland. Their research predominantly spans the fields of Computer Science and Engineering, with a particular focus on Computer Vision and Pattern Recognition, Computational Mechanics, and Computer Graphics and Computer-Aided Design. Additional subfields include Artificial Intelligence and Environmental Engineering.

The scientist's main research topics cover areas such as 3D Shape Modeling and Analysis, Computer Graphics and Visualization Techniques, Human Pose and Action Recognition, Advanced Vision and Imaging, Video Surveillance and Tracking Methods, Advanced Neural Network Applications, and Medical Image Segmentation Techniques.

Pascal Fua has contributed numerous papers to various reputable publication venues. Frequent venues for their work include arXiv (Cornell University), Zenodo (CERN European Organization for Nuclear Research), IEEE Transactions on Pattern Analysis and Machine Intelligence, the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and Nature Methods.

Recent papers authored or co-authored by Pascal Fua include:

  • DISK: Learning local features with policy gradient, 2020, arXiv (Cornell University)
  • LiftPose3D, a deep learning-based approach for transforming two-dimensional to three-dimensional poses in laboratory animals, 2021, Nature Methods
  • SegmentMeIfYouCan: A Benchmark for Anomaly Segmentation, 2021, arXiv (Cornell University)
  • Generating LOD3 building models from structure-from-motion and semantic segmentation, 2022, Automation in Construction
  • Robust Differentiable SVD, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence

Pascal Fua has frequently collaborated with several co-authors, including Mathieu Salzmann, Sina Honari, Mateusz Koziński, Benoît Guillard, and Doruk Öner. Collaborative efforts with these researchers form a significant portion of their published work.

Best Publications

  • SLIC Superpixels Compared to State-of-the-Art Superpixel Methods

    R. Achanta;A. Shaji;K. Smith;A. Lucchi

  • BRIEF: binary robust independent elementary features

    Michael Calonder;Vincent Lepetit;Christoph Strecha;Pascal Fua

  • EPnP: An Accurate O(n) Solution to the PnP Problem

    Vincent Lepetit;Francesc Moreno-Noguer;Pascal Fua

  • DAISY: An Efficient Dense Descriptor Applied to Wide-Baseline Stereo

    E. Tola;V. Lepetit;P. Fua

  • LIFT: Learned Invariant Feature Transform

    Kwang Moo Yi;Eduard Trulls;Vincent Lepetit;Pascal Fua

  • Multiple Object Tracking Using K-Shortest Paths Optimization

    J. Berclaz;F. Fleuret;E. Turetken;P. Fua

  • Monocular 3D Human Pose Estimation in the Wild Using Improved CNN Supervision

    Dushyant Mehta;Helge Rhodin;Dan Casas;Pascal Fua

  • Multicamera People Tracking with a Probabilistic Occupancy Map

    F. Fleuret;J. Berclaz;R. Lengagne;P. Fua

  • Keypoint recognition using randomized trees

    V. Lepetit;P. Fua

  • BRIEF: Computing a Local Binary Descriptor Very Fast

    M. Calonder;V. Lepetit;M. Ozuysal;T. Trzcinski

  • On benchmarking camera calibration and multi-view stereo for high resolution imagery

    C. Strecha;W. von Hansen;L. Van Gool;P. Fua

  • Discriminative Learning of Deep Convolutional Feature Point Descriptors

    Edgar Simo-Serra;Eduard Trulls;Luis Ferraz;Iasonas Kokkinos

  • Fast Keypoint Recognition Using Random Ferns

    M. Ozuysal;M. Calonder;V. Lepetit;P. Fua

  • Real-Time Seamless Single Shot 6D Object Pose Prediction

    Bugra Tekin;Sudipta N. Sinha;Pascal Fua

  • Monocular Model-Based 3D Tracking of Rigid Objects: A Survey

    Vincent Lepetit;Pascal Fua

  • Gradient Response Maps for Real-Time Detection of Textureless Objects

    S. Hinterstoisser;C. Cagniart;S. Ilic;P. Sturm

  • LDAHash: Improved Matching with Smaller Descriptors

    C. Strecha;A. M. Bronstein;M. M. Bronstein;P. Fua

  • Randomized trees for real-time keypoint recognition

    V. Lepetit;P. Lagger;P. Fua

  • A fast local descriptor for dense matching

    E. Tola;V. Lepetit;P. Fua

  • Context-Aware Crowd Counting

    Weizhe Liu;Mathieu Salzmann;Pascal Fua

  • Fast Keypoint Recognition in Ten Lines of Code

    M. Ozuysal;P. Fua;V. Lepetit

Frequent Co-Authors

Vincent Lepetit
Vincent Lepetit École des Ponts ParisTech
Mathieu Salzmann
Mathieu Salzmann École Polytechnique Fédérale de Lausanne
Xinchao Wang
Xinchao Wang National University of Singapore
Slobodan Ilic
Slobodan Ilic Technical University of Munich
Raquel Urtasun
Raquel Urtasun University of Toronto
Daniel Thalmann
Daniel Thalmann École Polytechnique Fédérale de Lausanne
Graham Knott
Graham Knott École Polytechnique Fédérale de Lausanne
Francesc Moreno-Noguer
Francesc Moreno-Noguer Universitat Politècnica de Catalunya
Nassir Navab
Nassir Navab Technical University of Munich

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