World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
27131
World Ranking
774
National Ranking
416

Sing Bing Kang 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 Sing Bing Kang 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: 314 publications — 76th percentile

76% of scientists in this discipline score the same or lower.

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

Sing Bing Kang 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 Sing Bing Kang 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: 86 D-Index — 95th percentile

95% of scientists in this discipline score the same or lower.

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

Overview

Sing Bing Kang is affiliated with Zillow Group in the United States and has contributed extensively to fields related to computer science and engineering. Their research portfolio includes 24 publications in computer vision and pattern recognition, reflecting a focus on advanced imaging technologies and spatial understanding.

The scientist's work spans several specialized subfields, including aerospace engineering, geology, biomedical engineering, and pulmonary and respiratory medicine. This multidisciplinary approach intersects with major research topics such as robotics and sensor-based localization, 3D surveying and cultural heritage, and advanced image and video retrieval techniques.

Frequent publication venues featuring Sing Bing Kang's research include:

  • arXiv (Cornell University)
  • 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • ACM Transactions on Graphics
  • IEEE Transactions on Pattern Analysis and Machine Intelligence

Notable recent papers authored or co-authored by Sing Bing Kang include:

  • "PSMNet: Position-aware Stereo Merging Network for Room Layout Estimation", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Polarimetric Helmholtz Stereopsis", 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "LASER: LAtent SpacE Rendering for 2D Visual Localization", 2022, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • "Semantically supervised appearance decomposition for virtual staging from a single panorama", 2022, ACM Transactions on Graphics
  • "Polarimetric Helmholtz Stereopsis", 2024, IEEE Transactions on Pattern Analysis and Machine Intelligence

Their recurring collaborators include:

  • Yuguang Li
  • Ivaylo Boyadzhiev
  • Will Hutchcroft
  • Zhiqiang Wan
  • Manjunath Narayana

The main areas of focus within Sing Bing Kang's research encompass:

  • Advanced Vision and Imaging
  • Robotics and Sensor-Based Localization
  • 3D Surveying and Cultural Heritage
  • Advanced Image and Video Retrieval Techniques
  • Video Surveillance and Tracking Methods
  • Optical Polarization and Ellipsometry
  • Image Enhancement Techniques

This body of work contributes to understanding and developing technologies related to spatial perception, image analysis, and applied computer vision methods. The integration of these topics supports advancements in both theoretical frameworks and practical applications within automated vision systems and related domains.

Best Publications

  • High-quality video view interpolation using a layered representation

    C. Lawrence Zitnick;Sing Bing Kang;Matthew Uyttendaele;Simon Winder

  • Holoportation: Virtual 3D Teleportation in Real-time

    Sergio Orts-Escolano;Christoph Rhemann;Sean Fanello;Wayne Chang

  • Automatic Estimation and Removal of Noise from a Single Image

    Ce Liu;R. Szeliski;Sing Bing Kang;C.L. Zitnick

  • High dynamic range video

    Sing Bing Kang;Matthew Uyttendaele;Simon Winder;Richard Szeliski

  • Review of image-based rendering techniques

    Harry Shum;Sing Bing Kang

  • Symmetric stereo matching for occlusion handling

    Jian Sun;Yin Li;S.B. Kang;Heung-Yeung Shum

  • Hands-free interface to a virtual reality environment using head tracking

    Sing Bing Kang

  • Recovering 3D shape and motion from image streams using nonlinear least squares

    Richard Szeliski;Sing Bing Kang

  • Registration and integration of textured 3D data

    Andrew Edie Johnson;Sing Bing Kang

  • Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling.

    Kevin Karsch;Ce Liu;Sing Bing Kang

  • Handling occlusions in dense multi-view stereo

    Sing Bing Kang;R. Szeliski;Jinxiang Chai

  • Visual attribute transfer through deep image analogy

    Jing Liao;Yuan Yao;Lu Yuan;Gang Hua

  • Noise Estimation from a Single Image

    Ce Liu;W.T. Freeman;R. Szeliski;Sing Bing Kang

  • Parameter-Free Radial Distortion Correction with Center of Distortion Estimation

    R. Hartley;Sing Bing Kang

  • Image completion using planar structure guidance

    Jia-Bin Huang;Sing Bing Kang;Narendra Ahuja;Johannes Kopf

  • Image-based plant modeling

    Long Quan;Ping Tan;Gang Zeng;Lu Yuan

  • Image deblurring using inertial measurement sensors

    Neel Joshi;Sing Bing Kang;C. Lawrence Zitnick;Richard Szeliski

  • Stereo for Image-Based Rendering using Image Over-Segmentation

    C. Lawrence Zitnick;Sing Bing Kang

  • Survey of image-based representations and compression techniques

    Heung-Yeung Shum;Sing Bing Kang;Shing-Chow Chan

  • Depth extraction from video using non-parametric sampling

    Kevin Karsch;Ce Liu;Sing Bing Kang

  • Registration and integration of textured 3-D data

    A.E. Johnson;Sing Bing Kang

  • Depth Transfer: Depth Extraction from Videos Using Nonparametric Sampling

    Kevin Karsch;Ce Liu;Sing Bing Kang

Frequent Co-Authors

Richard Szeliski
Richard Szeliski University of Washington
Heung-Yeung Shum
Heung-Yeung Shum Microsoft (United States)
Matthew T. Uyttendaele
Matthew T. Uyttendaele Microsoft (United States)
Neel Joshi
Neel Joshi Microsoft (United States)
Jingyi Yu
Jingyi Yu ShanghaiTech University
Katsushi Ikeuchi
Katsushi Ikeuchi Microsoft (United States)
Stephen Lin
Stephen Lin Microsoft Research Asia (China)
Shahram Izadi
Shahram Izadi Google (United States)
Michael F. Cohen
Michael F. Cohen Facebook (United States)
C. Lawrence Zitnick
C. Lawrence Zitnick Facebook (United States)

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