World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
42
Citations
16353
World Ranking
8148
National Ranking
3490

Deqing Sun 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 Deqing Sun 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: 87 publications — 5th percentile

5% of scientists in this discipline score the same or lower.

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

Deqing Sun 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 Deqing Sun 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: 42 D-Index — 43rd percentile

43% of scientists in this discipline score the same or lower.

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

Overview

Deqing Sun is affiliated with Google in the United States and has a research focus primarily within the field of Computer Science. Their work is concentrated in several subfields including Computer Vision and Pattern Recognition, Artificial Intelligence, Media Technology, Control and Systems Engineering, and Computer Graphics and Computer-Aided Design.

The scientist has contributed extensively to topics related to Advanced Vision and Imaging, Advanced Image Processing Techniques, Image Enhancement Techniques, Domain Adaptation and Few-Shot Learning, Human Pose and Action Recognition, Advanced Neural Network Applications, and Image Processing Techniques and Applications.

Deqing Sun's recent papers reflect a diverse range of research interests and venues. Notable publications include:

  • Kubric: A scalable dataset generator, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • A Tale of Two Features: Stable Diffusion Complements DINO for Zero-Shot Semantic Correspondence, 2023, arXiv (Cornell University)
  • Dual Convolutional Neural Networks for Low-Level Vision, 2022, International Journal of Computer Vision
  • Pyramid Adversarial Training Improves ViT Performance, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Adaptive Prototype Learning and Allocation for Few-Shot Segmentation, 2021, arXiv (Cornell University)

The work has appeared most frequently in the following publication venues:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • International Journal of Computer Vision
  • ACM Transactions on Graphics
  • Applied Sciences

Collaborative efforts form an important part of Deqing Sun's research activities. Frequent co-authors include:

  • Varun Jampani (14 joint publications)
  • Charles Herrmann (12 joint publications)
  • Ming-Hsuan Yang (11 joint publications)
  • David J. Fleet (4 joint publications)
  • Huiwen Chang (4 joint publications)

Best Publications

  • PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume

    Deqing Sun;Xiaodong Yang;Ming-Yu Liu;Jan Kautz

  • Secrets of optical flow estimation and their principles

    Deqing Sun;Stefan Roth;Michael J. Black

  • NTIRE 2017 Challenge on Single Image Super-Resolution: Methods and Results

    Radu Timofte;Eirikur Agustsson;Luc Van Gool;Ming-Hsuan Yang

  • Blind Image Deblurring Using Dark Channel Prior

    Jinshan Pan;Jinshan Pan;Jinshan Pan;Deqing Sun;Deqing Sun;Hanspeter Pfister;Ming-Hsuan Yang

  • Super SloMo: High Quality Estimation of Multiple Intermediate Frames for Video Interpolation

    Huaizu Jiang;Deqing Sun;Varan Jampani;Ming-Hsuan Yang

  • SPLATNet: Sparse Lattice Networks for Point Cloud Processing

    Hang Su;Varun Jampani;Deqing Sun;Subhransu Maji

  • A Quantitative Analysis of Current Practices in Optical Flow Estimation and the Principles Behind Them

    Deqing Sun;Stefan Roth;Michael J. Black

  • Competitive Collaboration: Joint Unsupervised Learning of Depth, Camera Motion, Optical Flow and Motion Segmentation

    Anurag Ranjan;Varun Jampani;Lukas Balles;Kihwan Kim

  • On Bayesian Adaptive Video Super Resolution

    Ce Liu;Deqing Sun

  • Adaptive Prototype Learning and Allocation for Few-Shot Segmentation

    Gen Li;Varun Jampani;Laura Sevilla-Lara;Deqing Sun

  • Learning Optical Flow

    Deqing Sun;Stefan Roth;J. P. Lewis;Michael J. Black

  • Pixel-Adaptive Convolutional Neural Networks

    Hang Su;Varun Jampani;Deqing Sun;Orazio Gallo

  • A Bayesian approach to adaptive video super resolution

    Ce Liu;Deqing Sun

  • Kubric: A scalable dataset generator

    Unknown

  • Superpixel sampling networks

    Varun Jampani;Deqing Sun;Ming Yu Liu;Ming Hsuan Yang

  • Deblurring Images via Dark Channel Prior

    Jinshan Pan;Deqing Sun;Hanspeter Pfister;Ming-Hsuan Yang

  • Learning to Super-Resolve Blurry Face and Text Images

    Xiangyu Xu;Xiangyu Xu;Xiangyu Xu;Deqing Sun;Deqing Sun;Jinshan Pan;Yujin Zhang

  • Learning Dual Convolutional Neural Networks for Low-Level Vision

    Jinshan Pan;Sifei Liu;Deqing Sun;Jiawei Zhang

  • Models Matter, So Does Training: An Empirical Study of CNNs for Optical Flow Estimation

    Deqing Sun;Xiaodong Yang;Ming-Yu Liu;Jan Kautz

  • Optical Flow with Semantic Segmentation and Localized Layers

    Laura Sevilla-Lara;Deqing Sun;Varun Jampani;Michael J. Black

  • Blind video temporal consistency

    Nicolas Bonneel;James Tompkin;Kalyan Sunkavalli;Deqing Sun

Frequent Co-Authors

Jan Kautz
Jan Kautz Nvidia (United States)
Ming-Hsuan Yang
Ming-Hsuan Yang University of California, Merced
Ming-Yu Liu
Ming-Yu Liu Nvidia (United States)
Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Hanspeter Pfister
Hanspeter Pfister Harvard University
Ce Liu
Ce Liu Microsoft (United States)
Erik B. Sudderth
Erik B. Sudderth University of California, Irvine
Erik Learned-Miller
Erik Learned-Miller University of Massachusetts Amherst
Xiaodong Yang
Xiaodong Yang Nvidia (United Kingdom)

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