Alex Colburn
Scholar

Alex Colburn

Google Scholar ID: PghQbXMAAAAJ
University of Washington & Apple
Machine LearningComputer VisionComputer Graphics
Citations & Impact
All-time
Citations
1,546
 
H-index
21
 
i10-index
30
 
Publications
20
 
Co-authors
15
list available
Resume (English only)
Academic Achievements
  • Published papers:
  • - 'Generative Multiplane Images (GMPI)', ECCV 2022 oral
  • - 'Fast and Explicit Neural View Synthesis', WACV 2022
  • - 'Deep Neural Network Approach for Annual Luminance Simulations', Journal of Building Performance Simulation, 2020
  • - 'Equivariant Neural Rendering', ICML, 2020
  • - '3D Manhattan Room Layout Reconstruction from a Single 360 Image', arXiv:1910.04099
  • - 'Predicting Annual Equirectangular Panoramic Luminance Maps Using Deep Neural Networks', to be presented at 16th IBPSA International Conference and Exhibition, Building Simulation 2019
Research Experience
  • Currently a Research Scientist at Apple in AI/ML; Affiliate Associate Professor of Computer Science and Engineering at the University of Washington; Previously, a Research Scientist at Zillow focusing on home interior capture and visualization; As a researcher at Amazon, worked on 3D object creation from photos.
Education
  • Ph.D. work focused on interactive image-based modeling systems for architectural structures. 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.
Background
  • Research interests include the combination of deep learning, computer graphics, and computer vision to create systems that allow people to better capture, understand, edit, and visualize the world.
Miscellany
  • Contact: alex{at}colburn{dot}org, alexco{at}cs{dot}washington{dot}edu; Personal website: http://www.colburn.org