Kevin Matzen

Research Scientist

I joined the Facebook Computational Photography group in August 2016 as a research scientist with a focus on computer vision and machine learning. In particular, I work on problems related to understanding our ever-changing world through the enormous number of photos people upload to the internet. Prior to Facebook I received my PhD in computer science from Cornell University in 2016 and my BSE in computer engineering from the University of Michigan in 2010.


Computer vision, deep learning, 3d reconstruction, virtual reality, data science and big data

Latest Publications

ECCV - August 23, 2020

Burst Denoising via Temporally Shifted Wavelet Transforms

Xuejian Rong, Denis Demandolx, Kevin Matzen, Priyam Chatterjee, Yingli Tian

SIGGRAPH - August 17, 2020

One Shot 3D Photography

Johannes Kopf, Kevin Matzen, Suhib Alsisan, Ocean Quigley, Francis Ge, Yangming Chong, Josh Patterson, Jan-Michael Frahm, Shu Wu, Matthew Yu, Peizhao Zhang, Zijian He, Peter Vajda, Ayush Saraf, Michael Cohen

SIGGRAPH - August 17, 2020

Consistent Video Depth Estimation

Xuan Luo, Jia-Bin Huang, Richard Szeliski, Kevin Matzen, Johannes Kopf

SIGGRAPH - July 28, 2020

Synthetic Defocus and Look-Ahead Autofocus for Casual Videography

Xuaner Zhang, Kevin Matzen, Vivien Nguyen, Dillon Yao, You Zhang, Ren Ng

CVPR - June 16, 2020

VPLNet: Deep Single View Normal Estimation with Vanishing Points and Lines

Rui Wang, David Geraghty, Kevin Matzen, Richard Szeliski, Jan-Michael Frahm

CVPR 2018 - June 18, 2018

DeepMVS: Learning Multi-view Stereopsis

Po-Han Huang, Kevin Matzen, Johannes Kopf, Narendra Ahuja, Jia-Bin Huang

SIGGRAPH 2017 - July 30, 2017

Low-Cost 360 Stereo Photography and Video Capture

Kevin Matzen, Michael Cohen, Bryce Evans, Johannes Kopf, Richard Szeliski