Any-Width Networks

Thanh Vu, Marc Eder, True Price, and Jan-Michael Frahm

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2020

The Price of Schedulability in Multi-Object Tracking: The History-vs.-Accuracy Trade-Off

Tanya Amert, Ming Yang, Saujas Nandi, Thanh Vu, James H Anderson, and F Donelson Smith

IEEE International Symposium on Real-Time Distributed Computing (ISORC), 2020

Mapped Convolutions

Marc Eder, True Price, Thanh Vu, Akash Bapat, and Jan-Michael Frahm

arXiv preprint arXiv:1906.11096, 2019

Finding your Lookalike: Measuring Face Similarity Rather than Face Identity

Amir Sadovnik, Wassim Gharbi, Thanh Vu, and Andrew Gallagher

IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018

Learning Visual Compatibility: An Improved Method for Visual Compatibility Embedding

Thanh Vu

Undergraduate Honors Thesis, Lafayette College, 2018

Robust Academic Poster Recognition

Thanh Vu and Amir Sadovnik

Technical Report, EXCEL Scholars Program, Lafayette College, 2017


Graduate Research Assistant — UNC CHAPEL HILL
2018 - Present | Advisor: Dr. Jan-Michael Frahm

  • Developing real-time computer vision and deep learning algorithms for resource-constrained applications in autonomous driving such as 3D scene flow estimation and adjustable neural networks

Augmented Reality Engineer Intern — LENOVO
Summer 2020 | Cloud & Software Engineering Lab

  • Researched and developed image tracking-based enterprise AR applications using Unity on the ThinkReality A6 headset

Research Assistant — LAFAYETTE COLLEGE
2015 - 2018 | Advisors: Dr. Amir Sadovnik, Dr. Chun Wai Liew

Academic Tutor, CRLA Certified — LAFAYETTE COLLEGE
2015 - 2018 | ATTIC Tutoring Center, Computer Science Dept., Math Dept.

  • Provided weekly one-on-one and drop-in tutoring sessions on Computer Science and Mathematics

Software Development Engineer Intern — AMAZON
Summer 2017 | Digital Book Store

  • Developed a Kindle app’s feature that provides 100M+ users access to more search results with half the number of clicks

Teaching Assistant — LAFAYETTE COLLEGE
2016 - 2017 | Computer Science Dept.

  • TAed for CS-150: Data Structures & Algorithms and CS-104: Intro to Game Programming