| Learning background-aware correlation filters for visual tracking H Kiani Galoogahi, A Fagg, S Lucey Proceedings of the IEEE international conference on computer vision, 1135-1143, 2017 | 1288 | 2017 |
| Need for speed: A benchmark for higher frame rate object tracking H Kiani Galoogahi, A Fagg, C Huang, D Ramanan, S Lucey Proceedings of the IEEE international conference on computer vision, 1125-1134, 2017 | 459 | 2017 |
| Systems and methods for detecting an object velocity AJ Fagg, N Melik-Barkhudarov US Patent 10,943,355, 2021 | 30 | 2021 |
| Why capture frame rate matters for embedded vision AJ Fagg Queensland University of Technology, 2018 | 3 | 2018 |
| Systems and Methods for Detecting Actors with Respect to an Autonomous Vehicle A Sen, AJ Fagg, BC Becker, Y Xu, NN Pilbrough, C Vallespi-Gonzalez US Patent App. 18/178,641, 2023 | | 2023 |
| Systems and methods for detecting actors with respect to an autonomous vehicle A Sen, AJ Fagg, BC Becker, Y Xu, NN Pilbrough, C Vallespi-Gonzalez US Patent 11,597,406, 2023 | | 2023 |
| System and method for movement detection AJ Fagg, N Melik-Barkhudarov US Patent 11,593,950, 2023 | | 2023 |
| Fast, dense feature SDM on an iPhone A Fagg, S Lucey, S Sridharan 2017 12th IEEE International Conference on Automatic Face & Gesture …, 2017 | | 2017 |
| Unsupervised temporal ensemble alignment for rapid annotation A Fagg, S Sridharan, S Lucey Computer Vision-ACCV 2014 Workshops: Singapore, Singapore, November 1-2 …, 2015 | | 2015 |
| This file was downloaded from: http://eprints. qut. edu. au/68384 A Fagg, S Sridharan, S Lucey | | |
| Supplementary Material Need for Speed: A Benchmark for Higher Frame Rate Object Tracking HK Galoogahi, A Fagg, C Huang, D Ramanan, S Lucey | | |
| Learning Background-Aware Correlation Filters for Visual Tracking-Supplementary Material HK Galoogahi, A Fagg, S Lucey | | |
Simon LuceyProfessor, University of Adelaide在 adelaide.edu 的电子邮件经过验证
