Sing Bing Kang : Wikipedia, the free encyclopedia

Sing Bing Kang

American computer scientist

Sing Bing Kang is a computer scientist known for his work in image-based modeling and rendering. He is a distinguished scientist at Zillow.^[1]

Kang has a Ph.D. from Carnegie Mellon University, completed in 1994.^[1] His dissertation, Robot Instruction by Human Demonstration, was supervised by Katsushi Ikeuchi.^[2] He worked for Microsoft Research before moving to Zillow.^[1]

He is the author of books including:

Image-Based Rendering (with Heung-Yeung Shum and Shing-Chow Chan, Springer, 2008)
Image-based Modeling of Plants and Trees (with Long Quan, Morgan & Claypool, 2010)

External links

Home page
Sing Bing Kang publications indexed by Google Scholar

References

^ ^a ^b ^c "Sing Bing Kang". IEEE Xplore. IEEE. Retrieved 2023-09-25.
^ "Sing Bing Kang". CMU Robotics Institute. Retrieved 2023-09-25.

Microsoft Research (MSR)

Main
projects

Languages, compilers	Bartok Bosque Cω F* Lean P Project Verona Phoenix Polyphonic C# SecPAL
Distributed–grid computing	BitVault Confidential Consortium Framework DeepSpeed Orleans
Internet, networking	AjaxView Avalanche Conference XP Gazelle HoneyMonkey Penny Black Wallop WikiBhasha
Other projects	Automatic Graph Layout Cognitive Toolkit Digits Holoportation IllumiRoom Image Composite Editor Infer.NET LightGBM LiveStation MyLifeBits Neural Network Intelligence NodeXL OneFuzz PhotoDNA SEAL SLAM T2 Temporal Prover WorldWide Telescope Z3 Theorem Prover
Operating systems	Barrelfish HomeOS Midori Singularity Verve
APIs	Accelerator Dryad Joins mimalloc SXM
Launched as products	C# Comic Chat Detours F# Sideshow PixelSense (TouchLight) SenseCam ClearType Group Shot Allegiance TrueSkill Songsmith Xbox Kinect