Curriculum Vitae

Assistant Professor of Computer Science at East Carolina University. Interested in Computer Vision and Computer Graphics research. Received a Ph.D in Computer Science at Brigham Young University.

• Email

LinkedIn / Google Scholar / ORCID

ECU Computer Vision Lab

Current Research Topics

Publications

Improving Graph Networks Through Selection-based Convolution

David Hart, Bryan Morse

WACV 2024

Paper / Supplemental / Code

Interpolated SelectionConv for Spherical Images and Surfaces

David Hart, Michael Whitney, Bryan Morse

WACV 2023

Project Page / Paper / Supplemental / arXiv / Code

SelectionConv: Convolutional Neural Networks for Non-rectilinear Image Data

David Hart, Michael Whitney, Bryan Morse

ECCV 2022

Project Page / Paper / Supplemental / arXiv / Code

Generalized Fluid Carving with Fast Lattice-guided Seam Computation

Sean Flynn, David Hart, Bryan Morse, Seth Holladay, Parris Egbert

SIGGRAPH Asia 2021

Paper / Video

Style Transfer for Light Field Photography

David Hart, Jessica Greenland, Bryan Morse

WACV 2020

Paper / arXiv / Code / Video

A Bayesian based equivalent sound source model for a military jet aircraft

David M. Hart, Tracianne B. Neilsen, Kent L. Gee, and Michael M. James

Journal of the Acoustical Society of America 133, 3576 (2013)

Paper

Education

PHD Computer Science, Brigham Young University, UT, USA

• Dissertation: Selection-based Convolution for Irregular Images and Graph Data
• Advised by Dr. Bryan Morse.

2019 - 2023

MS Computer Science, Brigham Young University, UT, USA

• Final GPA: 3.93
• Master’s Thesis: Light Field Style Transfer

2016 - 2019

BS Applied Physics, Brigham Young University, UT, USA

• Minor in Computer Science
• Minor in Mathematics
• Final GPA: 3.79
• Senior Thesis: Bayesian Optimization of an Equivalent Source Model for Military Jet Aircraft (unavailable for download)

2011 - 2013

Research Experience

Assistant Professor of CS, East Carolina University

Currently leading graduate and undergraduate students in research projects in the fields of computer vision and computer graphics.

2023 - Present

Computer Vision Research Intern, Adobe

Worked under Scott Cohen, Brian Price, and Zhihong Ding in Image Segmentation. Developed systems and metrics for comparing multiple in-house methods. Designed a new image segmentation method that led to a patent.

Summer 2020