In 2016, I earned my PhD in Computer Science from Cornell University, where I was advised by Noah Snavely and Kavita Bala. My research focused on developing systems that analyze vast quantities of internet photos to uncover changes and trends that are challenging to detect with the naked eye. This work spans several computer vision areas, including 3D reconstruction, object recognition, and advanced machine learning techniques.

I grew up near a small town in Wisconsin and later attended the University of Michigan, where I earned BSEs in Computer Science Engineering and Computer Engineering.

From 2016 to 2021, I was part of the Computational Photography team and, later, the XR Tech team at Facebook. I am currently a Senior Research Scientist at Adobe in Seattle.

Publications

• Removing Reflections from RAW Photos.
  E Kee, A Pikielny, K Blackburn-Matzen, M Levoy. arXiv preprint.
• Fast View Synthesis of Casual Videos.
  YC Lee, Z Zhang, K Blackburn-Matzen, S Niklaus, J Zhang, JB Huang, F Liu. arXiv preprint.
• VideoDoodles: Hand-Drawn Animations on Videos with Scene-Aware Canvases.
  E Yu, K Blackburn-Matzen, C Nguyen, O Wang, RH Kazi, A Bousseau. SIGGRAPH 2023.
• Perspective Fields for Single Image Camera Calibration.
  L Jin, J Zhang, Y Hold-Geoffroy, O Wang, K Matzen, M Sticha, DF Fouhey. CVPR 2023.
• A Practical Stereo Depth System for Smart Glasses.
  J Wang, D Scharstein, A Bapat, K Blackburn-Matzen, M Yu, J Lehman, S Alsisan, Y Wang, S Tsai, JM Frahm, Z He, P Vajda, MF Cohen, M Uyttendaele. CVPR 2023.
• One shot 3D photography.
  J Kopf, K Matzen, S Alsisan, O Quigley, F Ge, Y Chong, J Patterson, JM Frahm, S Wu, M Yu, P Zhang, Z He, P Vajda, A Saraf, M Cohen. SIGGRAPH 2020.
• Consistent Video Depth Estimation.
  X Luo, JB Huang, R Szeliski, K Matzen, J Kopf. SIGGRAPH 2020.
• VPLNet: Deep Single View Normal Estimation With Vanishing Points and Lines.
  R Wang, D Geraghty, K Matzen, R Szeliski, JM Frahm. CVPR 2020.
• GeoStyle: Discovering Fashion Trends and Events.
  U Mall, K Matzen, B Hariharan, K Bala, N Snavely. ICCV 2019.
• Synthetic Defocus and Look-Ahead Autofocus for Casual Videography.
  X Zhang, K Matzen, V Nguyen, D Yao, Y Zhang, R Ng. SIGGRAPH 2019.
• Deep Burst Denoising.
  C Godard, K Matzen, M Uyttendaele. ECCV 2018.
• DeepMVS: Learning Multi-view Stereopsis.
  PH Huang, K Matzen, J Kopf, N Ahuja, JB Huang. CVPR 2018.
• Low-cost 360 stereo photography and video capture.
  K Matzen, MF Cohen, B Evans, J Kopf, R Szeliski. SIGGRAPH 2017.
• StreetStyle: Exploring world-wide clothing styles from millions of photos.
  K Matzen, K Bala, N Snavely. arXiv preprint.
• All Weather Perception: Joint Data Association, Tracking, and Classification for Autonomous Ground Vehicles.
  P Radecki, M Campbell, K Matzen. arXiv preprint.
• BubbLeNet: Foveated imaging for visual discovery.
  K Matzen, N Snavely. ICCV 2015.
• Scene Chronology.
  K Matzen, N Snavely. ECCV 2014.
• NYC3DCars: A Dataset of 3D Vehicles in Geographic Context.
  K Matzen, N Snavely. ICCV 2013.