| Re-thinking CNN Frameworks for Time-Sensitive Autonomous-Driving Applications: Addressing an Industrial Challenge M Yang, S Wang, J Bakita, T Vu, FD Smith, JH Anderson, JM Frahm 2019 IEEE Real-Time and Embedded Technology and Applications Symposium (RTAS …, 2019 | 88 | 2019 |
| Mapped Convolutions M Eder, T Price, T Vu, A Bapat, JM Frahm arXiv preprint arXiv:1906.11096, 2019 | 30 | 2019 |
| Finding your Lookalike: Measuring Face Similarity Rather than Face Identity A Sadovnik, W Gharbi, T Vu, A Gallagher Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018 | 20 | 2018 |
| Re-thinking CNN frameworks for time-sensitive autonomous-driving applications: Addressing an industrial challenge. In 2019 IEEE Real-Time and Embedded Technology and … M Yang, S Wang, J Bakita, T Vu, FD Smith, JH Anderson, JM Frahm IEEE, 305ś317, 2019 | 12 | 2019 |
| Any-Width Networks T Vu, M Eder, T Price, JM Frahm The IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR …, 2020 | 7 | 2020 |
| Toward Edge-Efficient Dense Predictions with Synergistic Multi-Task Neural Architecture Search T Vu, Y Zhou, C Wen, Y Li, JM Frahm Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 6 | 2023 |
| The Price of Schedulability in Multi-Object Tracking: The History-vs.-Accuracy Trade-Off T Amert, M Yang, S Nandi, T Vu, JH Anderson, FD Smith 2020 IEEE 23rd International Symposium on Real-Time Distributed Computing …, 2020 | 4 | 2020 |
| LossMix: Simplify and Generalize Mixup for Object Detection and Beyond T Vu, B Sun, B Yuan, A Ngai, Y Li, JM Frahm arXiv preprint arXiv:2303.10343, 2023 | 2 | 2023 |
| The price of schedulability in cyclic workloads: The history-vs.-response-time-vs.-accuracy trade-off T Amert, M Yang, S Voronov, S Nandi, T Vu, JH Anderson, FD Smith Journal of Systems Architecture 120, 102292, 2021 | 2 | 2021 |
| How your phone recognizes your home: An investigation of mobile object recognition T Vu, D Piros, A Sadovnik National Conference on Undergraduate Research (NCUR), 2016 | 2 | 2016 |
| Supervision Interpolation via LossMix: Generalizing Mixup for Object Detection and Beyond T Vu, B Sun, B Yuan, A Ngai, Y Li, JM Frahm Proceedings of the AAAI Conference on Artificial Intelligence 38 (6), 5280-5288, 2024 | | 2024 |
| Toward Efficient and Robust Computer Vision for Large-Scale Edge Applications T Vu The University of North Carolina at Chapel Hill, 2023 | | 2023 |
| Learning Visual Compatibility: An Improved Method for Visual Compatibility Embedding T Vu Lafayette College, 2018 | | 2018 |
| Robust Automatic Poster Recognition T Vu, A Sadovnik Lafayette College, 2017 | | 2017 |
Jan-Michael FrahmProfessor, Computer Science, University of North Carolina at Chapel HillVerified email at cs.unc.edu
