2 citations · 5 across the 5 of their papers we have counts for
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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…
eess.SP2024
Modally Reduced Representation Learning of Multi-Lead ECG Signals through Simultaneous Alignment and Reconstruction
Nabil Ibtehaz, Masood Mortazavi
Electrocardiogram (ECG) signals, profiling the electrical activities of the heart, are used for a plethora of diagnostic applications. However, ECG systems require multiple leads o…
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…