Selected Publications

In CVPR 2018. We present a novel method to train machine learning algorithms to estimate scene depths from a single image, by using the …

In SIGGRAPH Asia 2017. Computer-graphics engineers and vision scientists want to generate images that reproduce realistic …

Spotlight Presentation in ICCV 2017. We present a machine learning algorithm that takes as input a 2D RGB image and synthesizes a 4D …

Oral Presentation in CVPR 2017. We study the problem of deblurring light fields of general 3D scenes captured under 3D camera motion …

In ICCV 2015. 2D spatial image windows are used for comparing pixel values in computer vision applications such as correspondence for …

In IEEE PAMI 2016 and CVPR 2015. Light-field cameras are quickly becoming commodity items, with consumer and industrial applications. …

In Biomedical Optics Express 2014 and SPIE Photonics West Conference 2014. We present a novel fully automated algorithm for the …

In Biomedical Optics Express 2014 and SPIE Photonics West Conference 2015. Accurate quantification of retinal layer thicknesses in mice …

Experience

 
 
 
 
 
June 2018 – Present
New York, NY

Research Intern

Google AI/Research

Computer vision and graphics research. Hosted by Professor Noah Snavely.
 
 
 
 
 
May 2017 – November 2017
Mountain View, CA

Research Intern

Google AI/Research

Computer vision and computational photography research in Marc Levoy’s team. Hosted by Jon Barron. Led to CVPR 2018 publication.
 
 
 
 
 
September 2014 – Present

Graduate Researcher

UC Berkeley

Research at the intersection of computer vision, computer graphics, and deep learning. Advised by Professor Ren Ng and Professor Ravi Ramamoorthi.
 
 
 
 
 
January 2011 – May 2014

Undergraduate Researcher

Duke University Vision and Image Processing Lab

Medical computer vision research. Advised by Professor Sina Farsiu.