RESEARCH

Any-Width Networks

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

The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 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

The IEEE/CVF 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

How Your Phone Recognizes Your Home: An Investigation Of Mobile Object Recognition

Thanh Vu, Daniel Piros, and Amir Sadovnik

The National Conference on Undergraduate Research (NCUR), 2016

EMPLOYMENT

AI Resident — GOOGLE X | MINERAL
2021 - Present | Managers: Baochen Sun, Yueqi Li | Mentors: Bodi Yuan, Chunfeng Wen, Yanqi Zhou

  • Received recognition from the CTO of Mineral.ai, Alphabet’s newest company, and 6 contract renewal offers since 2021
  • Led 4 Computer Vision projects, producing novel solutions with production impact, 2 research papers, and 2 pending US patents

PhD Research Assistant — UNC 3D VISION LAB
2018 - Present | Advisor: Dr. Jan-Michael Frahm

  • Developing efficient and scalable computer vision algorithms for resource-constrained edge applications such as autonomous driving, precision agriculture, mobile computing, and AR/VR

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

  • Developed enterprise Augmented Reality apps for the ThinkReality A6 headset using image tracking and Unity, exceeding customer expectation

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 Department

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

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

CRLA-Certified Academic Tutor — 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