6 citations · 8 across the 16 of their papers we have counts for
4 papers · 1 filter
GenMix: Effective Data Augmentation with Generative Diffusion Model Image Editing
Khawar Islam, Muhammad Zaigham Zaheer, Arif Mahmood +2
Data augmentation is widely used to enhance generalization in visual classification tasks. However, traditional methods struggle when source and target domains differ, as in domain…
GLMHA A Guided Low-rank Multi-Head Self-Attention for Efficient Image Restoration and Spectral Reconstruction
Zaid Ilyas, Naveed Akhtar, David Suter +1
Image restoration and spectral reconstruction are longstanding computer vision tasks. Currently, CNN-transformer hybrid models provide state-of-the-art performance for these tasks.…
Suitability of KANs for Computer Vision: A preliminary investigation
Basim Azam, Naveed Akhtar
Kolmogorov-Arnold Networks (KANs) introduce a paradigm of neural modeling that implements learnable functions on the edges of the networks, diverging from the traditional node-cent…
M3BUNet: Mobile Mean Max UNet for Pancreas Segmentation on CT-Scans
Juwita juwita, Ghulam Mubashar Hassan, Naveed Akhtar +1
Segmenting organs in CT scan images is a necessary process for multiple downstream medical image analysis tasks. Currently, manual CT scan segmentation by radiologists is prevalent…