1 code implementation • IEEE Transactions on Image Processing 2024 • Anas Zafar, Danyal Aftab, Rizwan Qureshi, Xinqi Fan, Pingjun Chen, Jia Wu, Hazrat Ali, Shah Nawaz, Sheheryar Khan, Mubarak Shah
In this paper, we propose a novel and computationally efficient architecture Single Stage Adaptive Multi-Attention Network (SSAMAN) for image restoration tasks, particularly for image denoising and image deblurring.
Ranked #1 on Image Denoising on DND
1 code implementation • 4 Dec 2022 • Usama Tariq, Rizwan Qureshi, Anas Zafar, Danyal Aftab, Jia Wu, Tanvir Alam, Zubair Shah, Hazrat Ali
Furthermore, the model can generate high-quality synthetic brain MRI with a tumor that can limit the small sample size issues.
no code implementations • 15 Apr 2022 • Murad Popattia, Muhammad Rafi, Rizwan Qureshi, Shah Nawaz
A pairwise ranking objective is used for training this embedding space which allows similar images, topics and captions in the shared semantic space to maintain a partial order in the visual-semantic hierarchy and hence, helps the model to produce more visually accurate captions.