World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
40
Citations
7695
World Ranking
9226
National Ranking
169

Siyu Tang 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 Siyu Tang 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: 82 publications — 4th percentile

4% of scientists in this discipline score the same or lower.

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

Siyu Tang 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 Siyu Tang 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: 40 D-Index — 37th percentile

37% of scientists in this discipline score the same or lower.

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

Overview

Siyu Tang is a researcher affiliated with ETH Zurich in Switzerland, active in fields primarily related to computer science and engineering. Their work spans various subfields including computer vision and pattern recognition, control and systems engineering, computational mechanics, computer graphics and computer-aided design, and artificial intelligence.

Their research focuses on topics such as human pose and action recognition, 3D shape modeling and analysis, human motion and animation, advanced vision and imaging, computer graphics and visualization techniques, hand gesture recognition systems, and advanced neural network applications.

Siyu Tang has contributed to numerous publications, with a significant presence in well-known venues. Frequent publication venues include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Repository for Publications and Research Data (ETH Zurich)
  • 2021 International Conference on 3D Vision (3DV)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)

Some recent representative papers by Siyu Tang are:

  • "The Power of Points for Modeling Humans in Clothing," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Learning Motion Priors for 4D Human Body Capture in 3D Scenes," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "Human-Aware Object Placement for Visual Environment Reconstruction," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Accurate 3D Body Shape Regression using Metric and Semantic Attributes," 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "A Skeleton-Driven Neural Occupancy Representation for Articulated Hands," 2021, 2021 International Conference on 3D Vision (3DV)

Throughout their career, Siyu Tang has frequently collaborated with multiple researchers including Yan Zhang, Michael J. Black, Shaofei Wang, Marko Mihajlović, and Andreas Geiger, with collaborations ranging from a dozen to nearly twenty joint works per coauthor.

The researcher's contributions are situated predominantly within the domains of human shape and motion modeling, computer vision systems, and neural representations related to 3D human and hand modeling. This body of work is supported by extensive publications demonstrating activity both in conference proceedings and open-access repositories.

Best Publications

  • DeepCut: Joint Subset Partition and Labeling for Multi Person Pose Estimation

    Leonid Pishchulin;Eldar Insafutdinov;Siyu Tang;Bjoern Andres

  • Multiple People Tracking by Lifted Multicut and Person Re-identification

    Siyu Tang;Mykhaylo Andriluka;Bjoern Andres;Bernt Schiele

  • Part-Aligned Bilinear Representations for Person Re-Identification

    Yumin Suh;Jingdong Wang;Siyu Tang;Tao Mei

  • Learning to Dress 3D People in Generative Clothing

    Qianli Ma;Jinlong Yang;Anurag Ranjan;Sergi Pujades

  • ArtTrack: Articulated Multi-Person Tracking in the Wild

    Eldar Insafutdinov;Mykhaylo Andriluka;Leonid Pishchulin;Siyu Tang

  • ETH-XGaze: A Large Scale Dataset for Gaze Estimation Under Extreme Head Pose and Gaze Variation

    Xucong Zhang;Seonwook Park;Thabo Beeler;Derek Bradley

  • Detection and Tracking of Occluded People

    Siyu Tang;Mykhaylo Andriluka;Bernt Schiele

  • Detection and Tracking of Occluded People

    Siyu Tang;Mykhaylo Andriluka;Bernt Schiele

  • Subgraph decomposition for multi-target tracking

    Siyu Tang;Bjoern Andres;Mykhaylo Andriluka;Bernt Schiele

  • Motion Segmentation & Multiple Object Tracking by Correlation Co-Clustering

    Margret Keuper;Siyu Tang;Bjoern Andres;Thomas Brox

  • Multi-person Tracking by Multicut and Deep Matching

    Siyu Tang;Bjoern Andres;Mykhaylo Andriluka;Bernt Schiele

  • Grasping Field: Learning Implicit Representations for Human Grasps

    Korrawe Karunratanakul;Jinlong Yang;Yan Zhang;Michael J. Black

  • Mask3D: Mask Transformer for 3D Semantic Instance Segmentation

    Unknown

  • Generating 3D People in Scenes Without People

    Yan Zhang;Mohamed Hassan;Heiko Neumann;Michael J. Black

  • Joint Graph Decomposition & Node Labeling: Problem, Algorithms, Applications

    Evgeny Levinkov;Jonas Uhrig;Siyu Tang;Mohamed Omran

  • We are More than Our Joints: Predicting how 3D Bodies Move

    Yan Zhang;Michael J. Black;Siyu Tang

  • LEAP: Learning Articulated Occupancy of People

    Marko Mihajlovic;Yan Zhang;Michael J. Black;Siyu Tang

  • Forecasting Human-Object Interaction: Joint Prediction of Motor Attention and Actions in First Person Video

    Miao Liu;Siyu Tang;Yin Li;James M. Rehg

  • Guided Motion Diffusion for Controllable Human Motion Synthesis

    Unknown

  • Learning People Detectors for Tracking in Crowded Scenes

    Siyu Tang;Mykhaylo Andriluka;Anton Milan;Konrad Schindler

  • On Self-Contact and Human Pose

    Lea Muller;Ahmed A. A. Osman;Siyu Tang;Chun-Hao P. Huang

  • Learning Motion Priors for 4D Human Body Capture in 3D Scenes

    Siwei Zhang;Yan Zhang;Federica Bogo;Marc Pollefeys

Frequent Co-Authors

Michael J. Black
Michael J. Black Max Planck Institute for Intelligent Systems
Bernt Schiele
Bernt Schiele Max Planck Institute for Informatics
Mykhaylo Andriluka
Mykhaylo Andriluka Google (United States)
Heiko Neumann
Heiko Neumann University of Ulm
Otmar Hilliges
Otmar Hilliges ETH Zurich
Thomas Brox
Thomas Brox University of Freiburg
Andreas Geiger
Andreas Geiger University of Tübingen
James M. Rehg
James M. Rehg University of Illinois at Urbana-Champaign
Gerard Pons-Moll
Gerard Pons-Moll University of Tübingen
Yin Li
Yin Li Chinese Academy of Sciences

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