Finding Your Lookalike: Measuring Face Similarity Rather Than Face Identity. - Amir Sadovnik; Wassim Gharbi; Thanh Vu 001; Andrew C. Gallagher (CVPR Workshops, 2018)

Re-Thinking CNN Frameworks for Time-Sensitive Autonomous-Driving Applications: Addressing an Industrial Challenge. - Ming Yang 036; Shige Wang; Joshua Bakita; Thanh Vu 001; F. Donelson Smith; James H. Anderson; Jan-Michael Frahm (RTAS, 2019)

Mapped Convolutions. - Marc Eder; True Price; Thanh Vu 001; Akash Bapat; Jan-Michael Frahm (CoRR, 2019)

Any-Width Networks. - Thanh Vu 001; Marc Eder; True Price; Jan-Michael Frahm (CVPR Workshops, 2020)

The Price of Schedulability in Multi-Object Tracking: The History-vs.-Accuracy Trade-Off. - Tanya Amert; Ming Yang 036; Saujas Nandi; Thanh Vu 001; James H. Anderson; F. Donelson Smith (ISORC, 2020)

The price of schedulability in cyclic workloads: The history-vs.-response-time-vs.-accuracy trade-off. - Tanya Amert; Ming Yang 036; Sergey Voronov; Saujas Nandi; Thanh Vu 001; James H. Anderson; F. Donelson Smith (J. Syst. Archit., 2021)

Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search. - Thanh Vu 001; Yanqi Zhou; Chunfeng Wen; Yueqi Li; Jan-Michael Frahm (WACV, 2023)

LossMix: Simplify and Generalize Mixup for Object Detection and Beyond. - Thanh Vu 001; Baochen Sun; Bodi Yuan; Alex Ngai; Yueqi Li; Jan-Michael Frahm (CoRR, 2023)

Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond. - Thanh Vu 001; Baochen Sun; Bodi Yuan; Alex Ngai; Yueqi Li; Jan-Michael Frahm (AAAI, 2024)