35 citations · 39 across the 18 of their papers we have counts for
5 papers · 1 filter
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…
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…
Envisioning a Next Generation Extended Reality Conferencing System with Efficient Photorealistic Human Rendering
Chuanyue Shen, Letian Zhang, Zhangsihao Yang +4
Meeting online is becoming the new normal. Creating an immersive experience for online meetings is a necessity towards more diverse and seamless environments. Efficient photorealis…
Fully Convolutional Scene Graph Generation
Hengyue Liu, Ning Yan, Masood S. Mortazavi +1
This paper presents a fully convolutional scene graph generation (FCSGG) model that detects objects and relations simultaneously. Most of the scene graph generation frameworks use…
The Impact of Hole Geometry on Relative Robustness of In-Painting Networks: An Empirical Study
Masood S. Mortazavi, Ning Yan
In-painting networks use existing pixels to generate appropriate pixels to fill "holes" placed on parts of an image. A 2-D in-painting network's input usually consists of (1) a thr…