In 2016 I obtained my PhD in computer science from Cornell University where I was advised by Noah Snavely and Kavita Bala. My research focused on building systems that analyze the massive numbers of photos found on the internet to better understand changes and trends that would be difficult to identify with the naked eye alone. This work touches on several areas of computer vision such as 3D reconstruction, object recognition, and used state-of-the-art machine learning techniques.
I grew up near a small town in Wisconsin and eventually went to the University of Michigan where I obtained BSEs in computer science engineering as well as computer engineering.
From 2016 to 2021 I worked on the Computational Photography team and, eventually, the XR Tech team at Facebook.
X Luo, JB Huang, R Szeliski, K Matzen, J Kopf. Consistent Video Depth Estimation. SIGGRAPH 2020.
C Godard, K Matzen, M Uyttendaele. Deep Burst Denoising. ECCV 2018.
PH Huang, K Matzen, J Kopf, N Ahuja, JB Huang. DeepMVS: Learning Multi-view Stereopsis. CVPR 2018.
K Matzen, N Snavely. BubbLeNet: Foveated imaging for visual discovery. ICCV 2015.
K Matzen, N Snavely. Scene Chronology. ECCV 2014.
K Matzen, N Snavely. NYC3DCars: A Dataset of 3D Vehicles in Geographic Context. ICCV 2013.