World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
86
Citations
27131
World Ranking
774
National Ranking
415

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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