World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
54
Citations
16280
World Ranking
4468
National Ranking
2090

Sylvain Paris 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 Sylvain Paris 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: 131 publications — 19th percentile

19% of scientists in this discipline score the same or lower.

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

Sylvain Paris 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 Sylvain Paris 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: 54 D-Index — 69th percentile

69% 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

  • 2009 - ACM Senior Member

Overview

Sylvain Paris is affiliated with Adobe Systems in the United States. Their research primarily focuses on computer science, with a strong emphasis on computer vision and pattern recognition. Their scholarly output includes 25 publications in the domain of computer science, covering several subfields such as cognitive neuroscience, artificial intelligence, statistical and nonlinear physics, and computer graphics and computer-aided design.

Within their main areas of study, Sylvain Paris has contributed extensively to topics related to generative adversarial networks and image synthesis, which accounts for 12 of their publications. Additional key research topics include advanced vision and imaging (10 publications), advanced image processing techniques (8 publications), aesthetic perception and analysis (4 publications), medical image segmentation techniques (4 publications), machine learning in healthcare (2 publications), and model reduction and neural networks (2 publications).

Their publications have appeared in several frequent venues, with the majority published in arXiv (Cornell University), contributing 7 papers. Other publication venues include Lecture Notes in Computer Science and the Computer Graphics Forum.

  • GANSpace: Discovering Interpretable GAN Controls (2020, arXiv (Cornell University))
  • Neural Neighbor Style Transfer (2022, arXiv (Cornell University))
  • Transforming and Projecting Images into Class-Conditional Generative Networks (2020, Lecture Notes in Computer Science)
  • Scaling up GANs for Text-to-Image Synthesis (2023, arXiv (Cornell University))
  • Video-Based Rendering of Dynamic Stationary Environments from Unsynchronized Inputs (2021, Computer Graphics Forum)

Frequent coauthors include Eli Shechtman, Richard Zhang, Jun-Yan Zhu, Yağız Aksoy, and Aaron Hertzmann. Sylvain Paris has received recognition as an ACM Senior Member since 2009.

Best Publications

  • A Fast Approximation of the Bilateral Filter Using a Signal Processing Approach

    Sylvain Paris;Frédo Durand

  • Halide: a language and compiler for optimizing parallelism, locality, and recomputation in image processing pipelines

    Jonathan Ragan-Kelley;Connelly Barnes;Andrew Adams;Sylvain Paris

  • Deep Photo Style Transfer

    Fujun Luan;Sylvain Paris;Eli Shechtman;Kavita Bala

  • A fast approximation of the bilateral filter using a signal processing approach

    Sylvain Paris;Frédo Durand

  • Learning photographic global tonal adjustment with a database of input / output image pairs

    Vladimir Bychkovsky;Sylvain Paris;Eric Chan;Fredo Durand

  • Real-time edge-aware image processing with the bilateral grid

    Jiawen Chen;Sylvain Paris;Frédo Durand

  • Bilateral filtering : theory and applications

    Sylvain Paris;Pierre Kornprobst;JackTumblin Tumblin;Fredo Durand

  • Deep joint demosaicking and denoising

    Michaël Gharbi;Gaurav Chaurasia;Sylvain Paris;Frédo Durand

  • GANSpace: Discovering Interpretable GAN Controls

    Erik Härkönen;Aaron Hertzmann;Jaakko Lehtinen;Jaakko Lehtinen;Sylvain Paris

  • Local Laplacian filters: edge-aware image processing with a Laplacian pyramid

    Sylvain Paris;Samuel W. Hasinoff;Jan Kautz

  • Two-scale tone management for photographic look

    Soonmin Bae;Sylvain Paris;Frédo Durand

  • Scaling up GANs for Text-to-Image Synthesis

    Unknown

  • Style transfer for headshot portraits

    YiChang Shih;Sylvain Paris;Connelly Barnes;William T. Freeman

  • Displacement interpolation using Lagrangian mass transport

    Nicolas Bonneel;Michiel van de Panne;Sylvain Paris;Wolfgang Heidrich

  • A gentle introduction to bilateral filtering and its applications

    Sylvain Paris;Pierre Kornprobst;Jack Tumblin;Frédo Durand

  • Decoupling algorithms from schedules for easy optimization of image processing pipelines

    Jonathan Ragan-Kelley;Andrew Adams;Sylvain Paris;Marc Levoy

  • 6D hands: markerless hand-tracking for computer aided design

    Robert Wang;Sylvain Paris;Jovan Popović

  • Automatic Photo Adjustment Using Deep Neural Networks

    Zhicheng Yan;Hao Zhang;Baoyuan Wang;Sylvain Paris

  • Fast Local Laplacian Filters: Theory and Applications

    Mathieu Aubry;Sylvain Paris;Samuel W. Hasinoff;Jan Kautz

  • User-assisted intrinsic images

    Adrien Bousseau;Sylvain Paris;Frédo Durand

  • A Topological Approach to Hierarchical Segmentation using Mean Shift

    S. Paris;F. Durand

Frequent Co-Authors

Kavita Bala
Kavita Bala Cornell University
Long Quan
Long Quan Hong Kong University of Science and Technology
François X. Sillion
François X. Sillion French Institute for Research in Computer Science and Automation - INRIA
Eli Shechtman
Eli Shechtman Adobe Systems (United States)
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Kalyan Sunkavalli
Kalyan Sunkavalli Adobe Systems (United States)
Jan Kautz
Jan Kautz Nvidia (United States)
Hanspeter Pfister
Hanspeter Pfister Harvard University

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