World's Best Scientists 2026 revealed!
Frédo Durand

Frédo Durand

D-Index & Metrics

Computer Science

D-Index
104
Citations
51047
World Ranking
307
National Ranking
168

Frédo Durand 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 Frédo Durand 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: 250 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: 560 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: 424 scientists 242–251 publications: 408 scientists 252–261 publications: 378 scientists 262–271 publications: 300 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: 308 publications — 75th percentile

75% of scientists in this discipline score the same or lower.

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

Frédo Durand 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 Frédo Durand sits on this spectrum.

30–31 D-Index: 879 scientists 32–33 D-Index: 984 scientists 34–35 D-Index: 918 scientists 36–37 D-Index: 990 scientists 38–39 D-Index: 969 scientists 40–41 D-Index: 907 scientists 42–43 D-Index: 821 scientists 44–45 D-Index: 765 scientists 46–47 D-Index: 689 scientists 48–49 D-Index: 543 scientists 50–51 D-Index: 543 scientists 52–53 D-Index: 517 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: 104 D-Index — 98th percentile

98% 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

  • 2016 - ACM Fellow For contributions to computational photography and computer graphics rendering.
  • 2006 - Fellow of Alfred P. Sloan Foundation

Overview

Frédo Durand is affiliated with MIT in the United States and has made contributions primarily in the field of Computer Science. Their research focus spans several subfields including Computer Vision and Pattern Recognition, Computer Graphics and Computer-Aided Design, Computational Mechanics, Radiology, Nuclear Medicine and Imaging, and Signal Processing.

Durand's work covers a range of topics, notably:

  • Advanced Vision and Imaging
  • Computer Graphics and Visualization Techniques
  • 3D Shape Modeling and Analysis
  • Advanced Image and Video Retrieval Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Neural Network Applications
  • Image and Signal Denoising Methods

The scientist has a significant publication record with a particular presence in the venue arXiv (Cornell University) where 20 publications are recorded. Other frequent publication venues include ACM Transactions on Graphics with 5 papers, IEEE Transactions on Pattern Analysis and Machine Intelligence, Nature Electronics, and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Recent publications include:

  • "Unbiased warped-area sampling for differentiable rendering" (2020, ACM Transactions on Graphics)
  • "Plug-and-Play Algorithms for Video Snapshot Compressive Imaging" (2021, IEEE Transactions on Pattern Analysis and Machine Intelligence)
  • "An amphibious artificial vision system with a panoramic visual field" (2022, Nature Electronics)
  • "Learning to generate line drawings that convey geometry and semantics" (2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR))
  • "FastComposer: Tuning-Free Multi-subject Image Generation with Localized Attention" (2024, International Journal of Computer Vision)

Frequent coauthors collaborating with Durand include William T. Freeman (16 joint works), Tianwei Yin (6), Vincent Sitzmann (5), Joshua B. Tenenbaum (5), and Michaël Gharbi (5).

Durand has received distinctions such as the ACM Fellow in 2016 for contributions to computational photography and computer graphics rendering, as well as recognition as a Fellow of the Alfred P. Sloan Foundation in 2006.

Best Publications

  • Recovering high dynamic range radiance maps from photographs

    Paul E. Debevec;Jitendra Malik

  • Fast bilateral filtering for the display of high-dynamic-range images

    Frédo Durand;Julie Dorsey

  • Learning to predict where humans look

    Tilke Judd;Krista Ehinger;Fredo Durand;Antonio Torralba

  • Image and depth from a conventional camera with a coded aperture

    Anat Levin;Rob Fergus;Frédo Durand;William T. Freeman

  • Eulerian video magnification for revealing subtle changes in the world

    Hao-Yu Wu;Michael Rubinstein;Eugene Shih;John Guttag

  • Understanding and evaluating blind deconvolution algorithms

    Anat Levin;Yair Weiss;Fredo Durand;William T Freeman

  • 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

  • Phase-based video motion processing

    Neal Wadhwa;Michael Rubinstein;Frédo Durand;William T. Freeman

  • Flash photography enhancement via intrinsic relighting

    Elmar Eisemann;Frédo Durand

  • Deep bilateral learning for real-time image enhancement

    Michaël Gharbi;Jiawen Chen;Jonathan T. Barron;Samuel W. Hasinoff

  • Non-iterative, feature-preserving mesh smoothing

    Thouis R. Jones;Frédo Durand;Mathieu Desbrun

  • Detecting Pulse from Head Motions in Video

    Guha Balakrishnan;Fredo Durand;John Guttag

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

    Sylvain Paris;Frédo Durand

  • Efficient marginal likelihood optimization in blind deconvolution

    Anat Levin;Yair Weiss;Fredo Durand;William T. Freeman

  • What Do Different Evaluation Metrics Tell Us About Saliency Models

    Zoya Bylinskii;Tilke Judd;Aude Oliva;Antonio Torralba

  • A survey of visibility for walkthrough applications

    D. Cohen-Or;Y.L. Chrysanthou;C.T. Silva;F. 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

  • A Benchmark of Computational Models of Saliency to Predict Human Fixations

    Tilke Judd;Frédo Durand;Antonio Torralba

  • Experimental analysis of BRDF models

    Addy Ngan;Frédo Durand;Wojciech Matusik

Frequent Co-Authors

Sylvain Paris
Sylvain Paris Adobe Systems (United States)
George Drettakis
George Drettakis French Institute for Research in Computer Science and Automation - INRIA
Anat Levin
Anat Levin Technion – Israel Institute of Technology
Jaakko Lehtinen
Jaakko Lehtinen Aalto University
Ravi Ramamoorthi
Ravi Ramamoorthi University of California, San Diego
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park

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