World's Best Scientists 2026 revealed!
Yann Gousseau

Yann Gousseau

D-Index & Metrics

Computer Science

D-Index
38
Citations
5415
World Ranking
10334
National Ranking
250

Yann Gousseau 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 Yann Gousseau 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: 140 publications — 23rd percentile

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

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

Yann Gousseau 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 Yann Gousseau 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: 38 D-Index — 30th percentile

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

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

Overview

Yann Gousseau is affiliated with Télécom ParisTech in France and specializes in Computer Science, with a primary focus on Computer Vision and Pattern Recognition. Their research extends to related subfields including Computer Graphics and Computer-Aided Design, Computational Mechanics, Cognitive Neuroscience, and Industrial and Manufacturing Engineering.

The scientist's work spans several main topics within these domains. These include:

  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • Computer Graphics and Visualization Techniques
  • Image and Signal Denoising Methods
  • Image Processing and 3D Reconstruction
  • Advanced Image and Video Retrieval Techniques
  • Image Enhancement Techniques

Yann Gousseau has contributed to multiple peer-reviewed papers in recognized publication venues. Notable recent papers include:

  • "Multiple instance learning on deep features for weakly supervised object detection with extreme domain shifts," 2021, Computer Vision and Image Understanding
  • "Training CNNs on speckled optical dataset for edge detection in SAR images," 2020, ISPRS Journal of Photogrammetry and Remote Sensing
  • "Feature-Style Encoder for Style-Based GAN Inversion," 2022, arXiv (Cornell University)
  • "An Analysis of the Transfer Learning of Convolutional Neural Networks for Artistic Images," 2021, Lecture notes in computer science
  • "Fully synthetic training for image restoration tasks," 2023, Computer Vision and Image Understanding

The scientist's frequent publication venues reflect their research orientation and include:

  • arXiv (Cornell University)
  • Computer Vision and Image Understanding
  • Computer Graphics Forum
  • ISPRS Journal of Photogrammetry and Remote Sensing
  • Lecture notes in computer science

Collaborations are a significant aspect of Yann Gousseau's research. Frequent coauthors include:

  • Saïd Ladjal
  • Alasdair Newson
  • Nicolas Gonthier
  • Raphaël Achddou
  • Nicolas Cherel

The combination of these collaborations, publication venues, and topical focuses provides an overview of an active research career centered on advancing methodologies in image analysis, synthesis, and computer vision techniques.

Best Publications

  • SAR-SIFT: A SIFT-LIKE ALGORITHM FOR SAR IMAGES

    Flora Dellinger;Julie Delon;Yann Gousseau;Julien Michel

  • Urban Change Detection for Multispectral Earth Observation Using Convolutional Neural Networks

    Rodrigo Caye Daudt;Bertr Le Saux;Alexandre Boulch;Yann Gousseau

  • Multitask learning for large-scale semantic change detection

    Rodrigo Caye Daudt;Rodrigo Caye Daudt;Bertrand Le Saux;Alexandre Boulch;Yann Gousseau

  • Video Inpainting of Complex Scenes

    Alasdair Newson;Andrés Almansa;Matthieu Fradet;Yann Gousseau

  • STRUCTURAL HIGH-RESOLUTION SATELLITE IMAGE INDEXING

    Gui-Song Xia;Wen Yang;Julie Delon;Yann Gousseau

  • Random Phase Textures: Theory and Synthesis

    B Galerne;Y Gousseau;J Morel

  • Geometrically Guided Exemplar-Based Inpainting

    Frédéric Cao;Yann Gousseau;Simon Masnou;Patrick Pérez

  • Are Natural Images of Bounded Variation

    Yann Gousseau;Jean-Michel Morel

  • Accurate Junction Detection and Characterization in Natural Images

    Gui-Song Xia;Julie Delon;Yann Gousseau

  • A Statistical Approach to the Matching of Local Features

    J. Rabin;J. Delon;Y. Gousseau

  • Shape-based Invariant Texture Indexing

    Gui-Song Xia;Julie Delon;Yann Gousseau

  • An A Contrario Decision Method for Shape Element Recognition

    Pablo Musé;Frédéric Sur;Frédéric Cao;Yann Gousseau

  • The TVL1 Model: A Geometric Point of View

    Vincent Duval;Jean-François Aujol;Yann Gousseau

  • A Bias-Variance Approach for the Nonlocal Means

    Vincent Duval;Jean-François Aujol;Yann Gousseau

  • Appearance-guided synthesis of element arrangements by example

    T. Hurtut;P.-E. Landes;J. Thollot;Y. Gousseau

  • The Size of Objects in Natural and Artificial Images

    Luis Alvarez;Yann Gousseau;Jean Michel Morel

  • Circular Earth Mover’s Distance for the comparison of local features

    J. Rabin;J. Delon;Y. Gousseau

  • Weakly Supervised Object Detection in Artworks

    Nicolas Gonthier;Yann Gousseau;Said Ladjal;Olivier Bonfait

  • Interpolation of digital elevation models using AMLE and related methods

    A. Almansa;F. Cao;Y. Gousseau;B. Rouge

  • A Latent Transformer for Disentangled Face Editing in Images and Videos

    Xu Yao;Alasdair Newson;Yann Gousseau;Pierre Hellier

  • The dead leaves model: a general tessellation modeling occlusion

    Charles Bordenave;Yann Gousseau;François Roueff

  • The TVL1 model : a geometric point of view Une étude géométrique du modèle TVL1

    Vincent Duval;Jean-François Aujol;Yann Gousseau

Frequent Co-Authors

Jean-François Aujol
Jean-François Aujol University of Bordeaux
Florence Tupin
Florence Tupin Télécom ParisTech
Bertrand Le Saux
Bertrand Le Saux IEEE France section
Bin Luo
Bin Luo Anhui University
Gui-Song Xia
Gui-Song Xia Wuhan University
Jean-Michel Morel
Jean-Michel Morel City University of Hong Kong
Gabriel Peyré
Gabriel Peyré École Normale Supérieure
Charles Bordenave
Charles Bordenave Aix-Marseille University
Michael Lindenbaum
Michael Lindenbaum Technion – Israel Institute of Technology

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