Thanh Vu

12 papers A* 1A 2C 1Journal 6Unranked 2
YearRankTypeTitle / Venue / Authors
2024 A* conf
Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond.
AAAI
Thanh Vu, Baochen Sun, Bodi Yuan, Alex Ngai, Yueqi Li, Jan-Michael Frahm
2023 J jnl
LossMix: Simplify and Generalize Mixup for Object Detection and Beyond.
CoRR
Thanh Vu, Baochen Sun, Bodi Yuan, Alex Ngai, Yueqi Li, Jan-Michael Frahm
2023 A conf
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search.
WACV
Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm
2022 J jnl
Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search.
CoRR
Thanh Vu, Yanqi Zhou, Chunfeng Wen, Yueqi Li, Jan-Michael Frahm
2021 J jnl
The price of schedulability in cyclic workloads: The history-vs.-response-time-vs.-accuracy trade-off.
J. Syst. Archit.
Tanya Amert, Ming Yang, Sergey Voronov, Saujas Nandi, Thanh Vu, James H. Anderson, F. Donelson Smith
2020 — conf
Any-Width Networks.
CVPR Workshops
Thanh Vu, Marc Eder, True Price, Jan-Michael Frahm
2020 J jnl
Any-Width Networks.
CoRR
Thanh Vu, Marc Eder, True Price, Jan-Michael Frahm
2020 C conf
The Price of Schedulability in Multi-Object Tracking: The History-vs.-Accuracy Trade-Off.
ISORC
Tanya Amert, Ming Yang, Saujas Nandi, Thanh Vu, James H. Anderson, F. Donelson Smith
2019 J jnl
Mapped Convolutions.
CoRR
Marc Eder, True Price, Thanh Vu, Akash Bapat, Jan-Michael Frahm
2019 A conf
Re-Thinking CNN Frameworks for Time-Sensitive Autonomous-Driving Applications: Addressing an Industrial Challenge.
RTAS
Ming Yang, Shige Wang, Joshua Bakita, Thanh Vu, F. Donelson Smith, James H. Anderson, Jan-Michael Frahm
2018 — conf
Finding Your Lookalike: Measuring Face Similarity Rather Than Face Identity.
CVPR Workshops
Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher
2018 J jnl
Finding your Lookalike: Measuring Face Similarity Rather than Face Identity.
CoRR
Amir Sadovnik, Wassim Gharbi, Thanh Vu, Andrew C. Gallagher