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.
Interests
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 - 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