World's Best Scientists 2026 revealed!
David J. Fleet

David J. Fleet

Award Badge
Computer Science
Canada
2025

D-Index & Metrics

Computer Science

D-Index
83
Citations
56625
World Ranking
879
National Ranking
30

David J. Fleet 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 David J. Fleet 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: 207 publications — 49th percentile

49% of scientists in this discipline score the same or lower.

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

David J. Fleet 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 David J. Fleet 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: 83 D-Index — 94th percentile

94% 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

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

Overview

David J. Fleet is affiliated with the University of Toronto in Canada. Their research primarily spans the field of Computer Science, with a notable focus on Computer Vision and Pattern Recognition, Artificial Intelligence, and Structural Biology.

The scientist's work covers various specialized topics including:

  • Advanced Electron Microscopy Techniques and Applications
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Image Processing Techniques
  • Advanced Vision and Imaging
  • Advanced Neural Network Applications
  • Electron and X-Ray Spectroscopy Techniques
  • Multimodal Machine Learning Applications

Frequent publication venues for David J. Fleet include:

  • arXiv (Cornell University)
  • Nature Methods
  • Journal of Structural Biology
  • Acta Crystallographica Section A Foundations and Advances
  • bioRxiv (Cold Spring Harbor Laboratory)

The scientist has co-authored multiple papers with colleagues such as Mohammad Norouzi, Ali Punjani, Saurabh Saxena, Chitwan Saharia, and Shekoofeh Azizi, reflecting ongoing collaborative research efforts across these domains.

Recent influential papers by David J. Fleet include:

  • Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding, 2022, arXiv (Cornell University)
  • Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction, 2020, Nature Methods
  • Image Super-Resolution Via Iterative Refinement, 2022, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • 3D variability analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM, 2021, Journal of Structural Biology
  • Cascaded Diffusion Models for High Fidelity Image Generation, 2021, arXiv (Cornell University)

Best Publications

  • cryoSPARC: algorithms for rapid unsupervised cryo-EM structure determination

    Ali Punjani;John L Rubinstein;David J Fleet;Marcus A Brubaker

  • Performance of optical flow techniques

    J. L. Barron;D. J. Fleet;S. S. Beauchemin

  • Photorealistic Text-to-Image Diffusion Models with Deep Language Understanding

    Unknown

  • Non-uniform refinement: adaptive regularization improves single-particle cryo-EM reconstruction.

    Ali Punjani;Haowei Zhang;David J. Fleet

  • Computation of component image velocity from local phase information

    David J. Fleet;A. D. Jepson

  • Robust online appearance models for visual tracking

    A.D. Jepson;D.J. Fleet;T.F. El-Maraghi

  • Image Super-Resolution via Iterative Refinement

    Chitwan Saharia;Jonathan Ho;William Chan;Tim Salimans

  • TurboPixels: Fast Superpixels Using Geometric Flows

    A. Levinshtein;A. Stere;K.N. Kutulakos;D.J. Fleet

  • Palette: Image-to-Image Diffusion Models

    Chitwan Saharia;William Chan;Huiwen Chang;Chris A. Lee

  • Gaussian Process Dynamical Models for Human Motion

    J.M. Wang;D.J. Fleet;A. Hertzmann

  • Stochastic Tracking of 3D Human Figures Using 2D Image Motion

    Hedvig Sidenbladh;Michael J. Black;David J. Fleet

  • Performance of optical flow techniques

    J.L. Barron;D.J. Fleet;S.S. Beauchemin;T.A. Burkitt

  • 3D Variability Analysis: Resolving continuous flexibility and discrete heterogeneity from single particle cryo-EM.

    Ali Punjani;David J. Fleet

  • Imagen Video: High Definition Video Generation with Diffusion Models

    Unknown

  • VSE++: Improving Visual-Semantic Embeddings with Hard Negatives.

    Fartash Faghri;David J. Fleet;Jamie Ryan Kiros;Sanja Fidler

  • Optical Flow Estimation

    David J. Fleet;Yair Weiss

  • Hamming Distance Metric Learning

    Mohammad Norouzi;David Fleet;Ruslan R Salakhutdinov

  • 3D People Tracking with Gaussian Process Dynamical Models

    R. Urtasun;D.J. Fleet;P. Fua

  • Phase-based disparity measurement

    David J. Fleet;Allan D. Jepson;Michael R. M. Jenkin

  • Cascaded Diffusion Models for High Fidelity Image Generation

    Jonathan Ho;Chitwan Saharia;William Chan;David James Fleet

  • Neural encoding of binocular disparity: energy models, position shifts and phase shifts.

    David J. Fleet;Hermann Wagner;David J. Heeger

  • Cartesian K-Means

    Mohammad Norouzi;David J. Fleet

  • Measurement of Image Velocity

    David J. Fleet

Frequent Co-Authors

Allan D. Jepson
Allan D. Jepson University of Toronto
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Aaron Hertzmann
Aaron Hertzmann Adobe Systems (United States)
Mohammad Norouzi
Mohammad Norouzi Google (United States)
Leonid Sigal
Leonid Sigal University of British Columbia
Keith Langley
Keith Langley University College London
Eric Saund
Eric Saund IEEE-USA
Roland Memisevic
Roland Memisevic University of Montreal
David J. Heeger
David J. Heeger New York University
Raquel Urtasun
Raquel Urtasun University of Toronto

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Studying Computer Science in the USA opens doors to a variety of exciting online degree options and career tracks. Many students explore similar technology-driven fields, such as environmental science or engineering, to diversify their skills and career prospects.

For those interested in broadening their career horizons, it’s worth looking into what can you do with an environmental science major. This degree can lead to pathways in sustainability, policy, and applied research—fields often enriched by a background in computer science.

If you’re motivated to earn your degree faster, there are several accelerated computer science degree online programs. These flexible programs help working professionals and determined students upskill efficiently without compromising on quality.

Engineering is another compelling field to consider. You can pursue an environmental engineer degree online for a blend of technology and environmental problem-solving. Interested in the mechanics behind technology? Compare the mechanical engineering degree online cost to find affordable paths in one of the most in-demand engineering specialties.

Best Scientists Citing David J. Fleet

Trending Scientists

Recently Published Articles