World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
56
Citations
10224
World Ranking
4143
National Ranking
557

Yebin Liu 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 Yebin Liu 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: 171 publications — 35th percentile

35% of scientists in this discipline score the same or lower.

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

Yebin Liu 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 Yebin Liu 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: 56 D-Index — 72nd percentile

72% of scientists in this discipline score the same or lower.

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

Overview

Yebin Liu is affiliated with Tsinghua University in China and has contributed extensively to the fields of Computer Science and Engineering. Their research primarily focuses on subfields including Computer Vision and Pattern Recognition, Computational Mechanics, Control and Systems Engineering, Computer Graphics and Computer-Aided Design, and Human-Computer Interaction.

Their work encompasses several main topics such as Advanced Vision and Imaging, 3D Shape Modeling and Analysis, Human Pose and Action Recognition, Computer Graphics and Visualization Techniques, Human Motion and Animation, Face Recognition and Analysis, and Generative Adversarial Networks and Image Synthesis.

Yebin Liu has been published widely, with frequent publications in venues including arXiv (Cornell University), IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Visualization and Computer Graphics, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), and ACM Transactions on Graphics.

Notable recent papers authored or co-authored by Yebin Liu include:

  • PyMAF: 3D Human Pose and Shape Regression with Pyramidal Mesh Alignment Feedback Loop, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • PaMIR: Parametric Model-Conditioned Implicit Representation for Image-Based Human Reconstruction, 2021, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • Recovering 3D Human Mesh From Monocular Images: A Survey, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence
  • FENeRF: Face Editing in Neural Radiance Fields, 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images, 2023, IEEE Transactions on Pattern Analysis and Machine Intelligence

Some of their frequent coauthors include:

  • Hongwen Zhang
  • Zerong Zheng
  • Ruizhi Shao
  • Tao Yu
  • Lizhen Wang

Best Publications

  • SurfaceNet: An End-to-End 3D Neural Network for Multiview Stereopsis

    Mengqi Ji;Juergen Gall;Haitian Zheng;Yebin Liu

  • Light Field Image Processing: An Overview

    Gaochang Wu;Belen Masia;Adrian Jarabo;Yuchen Zhang

  • Spatial-spectral encoded compressive hyperspectral imaging

    Xing Lin;Yebin Liu;Jiamin Wu;Qionghai Dai

  • Function4D: Real-time Human Volumetric Capture from Very Sparse Consumer RGBD Sensors

    Tao Yu;Zerong Zheng;Kaiwen Guo;Pengpeng Liu

  • CrossNet: An End-to-End Reference-Based Super Resolution Network Using Cross-Scale Warping

    Haitian Zheng;Mengqi Ji;Haoqian Wang;Yebin Liu

  • Light Field Reconstruction Using Deep Convolutional Network on EPI

    Gaochang Wu;Mandan Zhao;Liangyong Wang;Qionghai Dai

  • FENeRF: Face Editing in Neural Radiance Fields

    Unknown

  • Recovering 3D Human Mesh From Monocular Images: A Survey

    Unknown

  • Tensor4D: Efficient Neural 4D Decomposition for High-Fidelity Dynamic Reconstruction and Rendering

    Unknown

  • Dual-coded compressive hyperspectral imaging

    Xing Lin;Gordon Wetzstein;Yebin Liu;Qionghai Dai

  • Structured Local Radiance Fields for Human Avatar Modeling

    Unknown

  • BodyFusion: Real-Time Capture of Human Motion and Surface Geometry Using a Single Depth Camera

    Tao Yu;Kaiwen Guo;Feng Xu;Yuan Dong

  • Markerless motion capture of interacting characters using multi-view image segmentation

    Yebin Liu;Carsten Stoll;Juergen Gall;Hans-Peter Seidel

  • PyMAF-X: Towards Well-Aligned Full-Body Model Regression From Monocular Images

    Unknown

  • Real-Time Geometry, Albedo, and Motion Reconstruction Using a Single RGB-D Camera

    Kaiwen Guo;Feng Xu;Tao Yu;Xiaoyang Liu

  • Interacting Attention Graph for Single Image Two-Hand Reconstruction

    Unknown

  • A Point-Cloud-Based Multiview Stereo Algorithm for Free-Viewpoint Video

    Yebin Liu;Qionghai Dai;Wenli Xu

  • Markerless Motion Capture of Multiple Characters Using Multiview Image Segmentation

    Yebin Liu;J. Gall;C. Stoll;Qionghai Dai

  • Robust Non-rigid Motion Tracking and Surface Reconstruction Using L0 Regularization

    Kaiwen Guo;Feng Xu;Yangang Wang;Yebin Liu

  • Light Field Reconstruction Using Convolutional Network on EPI and Extended Applications

    Gaochang Wu;Yebin Liu;Lu Fang;Qionghai Dai

  • Continuous depth estimation for multi-view stereo

    Yebin Liu;Xun Cao;Qionghai Dai;Wenli Xu

  • Performance Capture of Interacting Characters with Handheld Kinects

    Genzhi Ye;Yebin Liu;Nils Hasler;Xiangyang Ji

  • Video-based characters: creating new human performances from a multi-view video database

    Feng Xu;Yebin Liu;Carsten Stoll;James Tompkin

  • Intrinsic video and applications

    Genzhi Ye;Elena Garces;Yebin Liu;Qionghai Dai

  • Light field from micro-baseline image pair

    Zhoutong Zhang;Yebin Liu;Qionghai Dai

  • SimulCap : Single-View Human Performance Capture With Cloth Simulation

    Tao Yu;Zerong Zheng;Yuan Zhong;Jianhui Zhao

Frequent Co-Authors

Qionghai Dai
Qionghai Dai Tsinghua University
Christian Theobalt
Christian Theobalt Max Planck Institute for Informatics
Haoqian Wang
Haoqian Wang Tsinghua University
Yu-Kun Lai
Yu-Kun Lai Cardiff University
Jingyu Yang
Jingyu Yang Tianjin University
Xiangyang Ji
Xiangyang Ji Tsinghua University
Jue Wang
Jue Wang Tencent (China)
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Juergen Gall
Juergen Gall University of Bonn
Ying Fu
Ying Fu Beijing Institute of Technology

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