13 citations · 32 across the 8 of their papers we have counts for
9 papers
DSLR-CNN: Efficient CNN Acceleration using Digit-Serial Left-to-Right Arithmetic
Malik Zohaib Nisar, Muhammad Sohail Ibrahim, Saeid Gorgin +2
Digit-serial arithmetic has emerged as a viable approach for designing hardware accelerators, reducing interconnections, area utilization, and power consumption. However, conventio…
USEFUSE: Uniform Stride for Enhanced Performance in Fused Layer Architecture of Deep Neural Networks
Muhammad Sohail Ibrahim, Muhammad Usman, Jeong-A Lee
Convolutional Neural Networks (CNNs) are crucial in various applications, but their deployment on resource-constrained edge devices poses challenges. This study presents the Sum-of…
L2R-CIPU: Efficient CNN Computation with Left-to-Right Composite Inner Product Units
Malik Zohaib Nisar, Mohammad Sohail Ibrahim, Muhammad Usman +1
This paper proposes a composite inner-product computation unit based on left-to-right (LR) arithmetic for the acceleration of convolution neural networks (CNN) on hardware. The eff…
DSLOT-NN: Digit-Serial Left-to-Right Neural Network Accelerator
Muhammad Sohail Ibrahim, Muhammad Usman, Malik Zohaib Nisar +1
We propose a Digit-Serial Left-tO-righT (DSLOT) arithmetic based processing technique called DSLOT-NN with aim to accelerate inference of the convolution operation in the deep neur…
3D Object Localization Using 2D Estimates for Computer Vision Applications
Taha Hasan Masood Siddique, Muhammad Usman
A technique for object localization based on pose estimation and camera calibration is presented. The 3-dimensional (3D) coordinates are estimated by collecting multiple 2-dimensio…
Heart Segmentation From MRI Scans Using Convolutional Neural Network
Shakeel Muhammad Ibrahim, Muhammad Sohail Ibrahim, Muhammad Usman +2
Heart is one of the vital organs of human body. A minor dysfunction of heart even for a short time interval can be fatal, therefore, efficient monitoring of its physiological state…