no code implementations • 14 Feb 2024 • Shiqi Yang, Hanlin Qin, Shuai Yuan, Xiang Yan, Hossein Rahmani
However, when applied to the infrared destriping task, it becomes challenging for the vanilla auxiliary generator to consistently produce vertical noise under unsupervised constraints.
1 code implementation • 28 Jan 2024 • Shuai Yuan, Hanlin Qin, Xiang Yan, Naveed Akhtar, Ajmal Mian
In the proposed SCTBs, the outputs of all encoders are interacted with cross transformer to generate mixed features, which are redistributed to all decoders to effectively reinforce semantic differences between the target and clutter at full scales.
no code implementations • 28 Jan 2024 • Shuai Yuan, Hanlin Qin, Xiang Yan, Naveed Akhtar, Shiqi Yang, Shuowen Yang
Our neural model leverages a novel downsampler, residual haar discrete wavelet transform (RHDWT), stripe directional prior knowledge and data-driven learning to induce a model with enriched feature representation of stripe noise and background.
no code implementations • 19 Jun 2018 • Xiang Yan, Syed Zulqarnain Gilani, Hanlin Qin, Ajmal Mian
Convolutional neural networks have recently been used for multi-focus image fusion.
no code implementations • 26 Apr 2018 • Xiang Yan, Syed Zulqarnain Gilani, Hanlin Qin, Mingtao Feng, Liang Zhang, Ajmal Mian
Detecting representative frames in videos based on human actions is quite challenging because of the combined factors of human pose in action and the background.