no code implementations • 4 Jan 2024 • Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
In this paper, we address source-free and online domain adaptation, i. e., test-time adaptation (TTA), for satellite images, with the focus on mitigating distribution shifts caused by various forms of image degradation.
no code implementations • 20 Jul 2023 • Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
Existing high-resolution satellite image forgery localization methods rely on patch-based or downsampling-based training.
1 code implementation • 8 Dec 2022 • Kishor Kumar Bhaumik, Fahim Faisal Niloy, Saif Mahmud, Simon Woo
Specifically, our proposed STLGRU can effectively capture dynamic local and global spatial-temporal relations of traffic networks using memory-augmented attention and gating mechanisms in a continuously synchronized manner.
no code implementations • 4 Oct 2022 • Fahim Faisal Niloy, Kishor Kumar Bhaumik, Simon S. Woo
A key assumption in underlying forged region localization is that there remains a difference of feature distribution between untampered and manipulated regions in each forged image sample, irrespective of the forgery type.
no code implementations • 4 Jan 2022 • Tonmoay Deb, Akib Sadmanee, Kishor Kumar Bhaumik, Amin Ahsan Ali, M Ashraful Amin, A K M Mahbubur Rahman
However, growing model complexity for visual data encourages more explicit feature interaction for fine-grained information, which is currently absent in the video captioning domain.
2 code implementations • 17 Mar 2020 • Saif Mahmud, M Tanjid Hasan Tonmoy, Kishor Kumar Bhaumik, A K M Mahbubur Rahman, M Ashraful Amin, Mohammad Shoyaib, Muhammad Asif Hossain Khan, Amin Ahsan Ali
In this regard, the existing recurrent or convolutional or their hybrid models for activity recognition struggle to capture spatio-temporal context from the feature space of sensor reading sequence.