2 citations · 4 across the 3 of their papers we have counts for
3 papers
cs.CV2024★ 1 cited
Fusion of regional and sparse attention in Vision Transformers
Nabil Ibtehaz, Ning Yan, Masood Mortazavi +1
Modern vision transformers leverage visually inspired local interaction between pixels through attention computed within window or grid regions, in contrast to the global attention…
cs.CV2024★ 1 cited
ACC-ViT : Atrous Convolution's Comeback in Vision Transformers
Nabil Ibtehaz, Ning Yan, Masood Mortazavi +1
Transformers have elevated to the state-of-the-art vision architectures through innovations in attention mechanism inspired from visual perception. At present two classes of attent…
cs.CV2023★ 2 cited
ACC-UNet: A Completely Convolutional UNet model for the 2020s
Nabil Ibtehaz, Daisuke Kihara
This decade is marked by the introduction of Vision Transformer, a radical paradigm shift in broad computer vision. A similar trend is followed in medical imaging, UNet, one of the…