H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 81 Citations 23,913 219 World Ranking 416 National Ranking 246

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Computer graphics

Sing Bing Kang mainly investigates Artificial intelligence, Computer vision, Computer graphics, Pixel and Rendering. His study in Segmentation, Object, Image restoration, Computer stereo vision and Image based is carried out as part of his studies in Artificial intelligence. Image processing, Iterative reconstruction, Stereoscopy, Camera resectioning and Image are subfields of Computer vision in which his conducts study.

Sing Bing Kang has researched Computer graphics in several fields, including 3D reconstruction, Tracking, Catadioptric system and Face. His Pixel research includes themes of High dynamic range, Dynamic range and Radiance. His research in Image-based modeling and rendering intersects with topics in Alternate frame rendering, 3D rendering and Real-time rendering.

His most cited work include:

  • High-quality video view interpolation using a layered representation (1362 citations)
  • High dynamic range video (463 citations)
  • Automatic Estimation and Removal of Noise from a Single Image (419 citations)

What are the main themes of his work throughout his whole career to date?

His primary areas of study are Artificial intelligence, Computer vision, Computer graphics, Pixel and Image. His study in Artificial intelligence focuses on Segmentation, Image processing, Image restoration, Motion estimation and Object. As a member of one scientific family, Sing Bing Kang mostly works in the field of Object, focusing on GRASP and, on occasion, Robot.

Image-based modeling and rendering, Iterative reconstruction, Motion, Depth map and Image segmentation are among the areas of Computer vision where Sing Bing Kang concentrates his study. His Computer graphics study incorporates themes from Video tracking and Video compression picture types. His Rendering research is multidisciplinary, relying on both Video post-processing and 3D reconstruction.

He most often published in these fields:

  • Artificial intelligence (84.31%)
  • Computer vision (80.07%)
  • Computer graphics (25.16%)

What were the highlights of his more recent work (between 2013-2020)?

  • Artificial intelligence (84.31%)
  • Computer vision (80.07%)
  • Image (14.38%)

In recent papers he was focusing on the following fields of study:

His primary scientific interests are in Artificial intelligence, Computer vision, Image, Visualization and Motion. His work carried out in the field of Artificial intelligence brings together such families of science as Metric and Pattern recognition. Computer vision is a component of his Rotation, Pixel, Image quality, Light field and Projector studies.

His Image research integrates issues from Mode, Structure, Selection and Video sequence. His study looks at the intersection of Visualization and topics like Stereoscopy with Partition, Concentric, Sequence and Panorama. The Motion study combines topics in areas such as Smoothing, Image stabilization and Sample.

Between 2013 and 2020, his most popular works were:

  • Depth Transfer: Depth Extraction from Video Using Non-Parametric Sampling. (300 citations)
  • Visual attribute transfer through deep image analogy (251 citations)
  • Holoportation: Virtual 3D Teleportation in Real-time (245 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Computer graphics

Sing Bing Kang focuses on Computer vision, Artificial intelligence, Computer graphics, Stereo camera and Image stabilization. His biological study spans a wide range of topics, including Sketch and Painting. Many of his studies on Artificial intelligence involve topics that are commonly interrelated, such as Metric.

In his work, Resolution, Light intensity, Stereo cameras and Image processing is strongly intertwined with Projector, which is a subfield of Computer graphics. Sing Bing Kang usually deals with Stereo camera and limits it to topics linked to Filter and Light-emitting diode and Active illumination. Sing Bing Kang studied Image stabilization and Smoothing that intersect with Rotation.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

High-quality video view interpolation using a layered representation

C. Lawrence Zitnick;Sing Bing Kang;Matthew Uyttendaele;Simon Winder.
international conference on computer graphics and interactive techniques (2004)

1722 Citations

High dynamic range video

Sing Bing Kang;Matthew Uyttendaele;Simon Winder;Richard Szeliski.
international conference on computer graphics and interactive techniques (2003)

598 Citations

Symmetric stereo matching for occlusion handling

Jian Sun;Yin Li;S.B. Kang;Heung-Yeung Shum.
computer vision and pattern recognition (2005)

560 Citations

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

Sing Bing Kang.
(1997)

559 Citations

Automatic Estimation and Removal of Noise from a Single Image

Ce Liu;R. Szeliski;Sing Bing Kang;C.L. Zitnick.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2008)

528 Citations

Stereoscopic image display

Gary K. Starkweather;Michael J. Sinclair;Sing Bing Kang.
(2004)

524 Citations

Review of image-based rendering techniques

Harry Shum;Sing Bing Kang.
visual communications and image processing (2000)

515 Citations

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

Kevin Karsch;Ce Liu;Sing Bing Kang.
IEEE Transactions on Pattern Analysis and Machine Intelligence (2014)

514 Citations

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

Richard Szeliski;Sing Bing Kang.
Journal of Visual Communication and Image Representation (1994)

510 Citations

Registration and integration of textured 3D data

Andrew Edie Johnson;Sing Bing Kang.
Image and Vision Computing (1999)

491 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Contact us

Top Scientists Citing Sing Bing Kang

Richard Szeliski

Richard Szeliski

University of Washington

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Microsoft (United States)

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University of Tokyo

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ETH Zurich

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Max Planck Institute for Informatics

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National University of Ireland, Galway

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Hans-Peter Seidel

Max Planck Institute for Informatics

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Qionghai Dai

Qionghai Dai

Tsinghua University

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Ming-Hsuan Yang

University of California, Merced

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Jingyi Yu

Jingyi Yu

ShanghaiTech University

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Eran Steinberg

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National University of Ireland, Galway

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Zhe Lin

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Adobe Systems (United States)

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In So Kweon

In So Kweon

Korea Advanced Institute of Science and Technology

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Ruigang Yang

Ruigang Yang

Baidu (China)

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