I am a Research Scientist at Amazon.com in the imaging robotics team.  My research combines deep learning, computer graphics, and computer vision to create usable systems that allow people to better capture, understand, edit, and visualize the world.  

I also collaborate with the University of Washington Graphics and Imaging Laboratory, Reality Lab, and Facial Expression Research Group where we combine artistic insight and deep learning techniques to better understand facial expressions and create amazing tools for artists. 

Previously, I was a Research Scientist at Zillow where I helped create the state of the art in home interior capture and visualization.  My Ph.D. work focused on interactive image-based modeling systems for architectural structures.  I spent 10 years at Microsoft Research working on a variety of projects ranging from creating a platform for building virtual worlds to implementing microphone arrays.  

 

Alex Colburn

Contact:

alex{at}colburn{dot}org

alexco{at}cs{dot}washington{dot}edu

http://www.colburn.org

Research

Predicting Annual Equirectangular Panoramic Luminance Maps Using Deep Neural Networks

Yue Liu, Alex Colburn and and Mehlika Inanici.  To be presented at:  16th IBPSA International Conference and Exhibition, Building Simulation 2019.

Computing Long-term Daylighting Simulations from High Dynamic Range Imagery Using Deep Neural Networks

Yue Liu, Alex Colburn, and Mehlika Inanici,  Building Performance Analysis Conference and SimBuild 2018

LayoutNet: Reconstructing the 3D Room Layout from a Single RGB Image

Chuhang Zou, Alex Colburn, Qi Shan, Derek Hoiem, CVPR 2018
[pre-print][code]

Learning to Generate 3D Stylized Character Expressions from Humans

Deepali Aneja, Bindita Chaudhuri, Alex Colburn, Gary Faigin, Linda G. Shapiro, Barbara Mones, WACV 2018

Computing Long-term Daylighting Simulations from High Dynamic Range Photographs Using Deep Neural Networks

Yue Liu, Mehlika Inanici, and Alex Colburn, Radiance Workshop 2017, Portland OR.

Deepali Aneja, Alex Colburn, Gary Faigin, Linda Shapiro, and Barbara Mones.

ACCV, 2016.  Springer Lecture Notes in Computer Science (Oral presentation).

Alex Colburn, Aseem Agarwala, Aaron Hertzman, Brian Curless, Michael Cohen. 
IEEE Transactions on Visualization and Computer Graphics. 

Bundle adjuster updates to support fisheye lens

Koppal, S.J.; Zitnick, C.L.; Cohen, M.; Sing Bing Kang; Ressler, B.; Colburn, A.; 
Computer Graphics and Applications, IEEE , vol.31, no.1, pp.20-35, Jan.-Feb. 2011

Colin Zheng, Alex Colburn, Aseem Agarwala, Maneesh Agrawala, Brian Curless, David Salesin, Michael Cohen. 
Graphics Interface, May 2009  (awarded Best Student Paper)

Jue Wang, Pravin Bhat, R. Alex Colburn, Maneesh Agrawala, Michael F. Cohen, 
ACM Transactions on Graphics (Proceedings of SIGGRAPH 2005), July 2005

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UW CSE Band AKA the Parody Bits

The UW CSE Band

Introduces basic foundations of research in science and technology. Builds research skills by reading and evaluating papers along with designing and implementing research projects related to Animation, Graphics, and Machine Learning. 

I ran a music seminar in grad school - Computers & Music.

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