no code implementations • 31 May 2023 • Quoc-Huy Tran, Muhammad Ahmed, Murad Popattia, M. Hassan Ahmed, Andrey Konin, M. Zeeshan Zia
This paper presents a self-supervised temporal video alignment framework which is useful for several fine-grained human activity understanding applications.
no code implementations • 31 May 2023 • Quoc-Huy Tran, Ahmed Mehmood, Muhammad Ahmed, Muhammad Naufil, Anas Zafar, Andrey Konin, M. Zeeshan Zia
The frame-level prediction module is trained in an unsupervised manner via temporal optimal transport.
1 code implementation • 11 Feb 2023 • Muhammad Ahmed, Anam Qureshi, Jawwad Ahmed Shamsi, Murk Marvi
The tremendous growth in smart devices has uplifted several security threats.