84 citations · 100 across the 9 of their papers we have counts for
9 papers
Approximate Attention Weighting for Sustainable FPGA-Based Vision Transformer Inference
Muhammad Usman, Muhammad Akmal Shafique, Shujaat Khan +1
Vision Transformers have reshaped computer vision by using self-attention to capture global context across image regions. This makes them attractive for edge visual inspection and…
CapsBeam: Accelerating Capsule Network based Beamformer for Ultrasound Non-Steered Plane Wave Imaging on Field Programmable Gate Array
Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker +1
In recent years, there has been a growing trend in accelerating computationally complex non-real-time beamforming algorithms in ultrasound imaging using deep learning models. Howev…
Survey of different Large Language Model Architectures: Trends, Benchmarks, and Challenges
Minghao Shao, Abdul Basit, Ramesh Karri +1
Large Language Models (LLMs) represent a class of deep learning models adept at understanding natural language and generating coherent responses to various prompts or queries. Thes…
Continual Learning with Neuromorphic Computing: Foundations, Methods, and Emerging Applications
Mishal Fatima Minhas, Rachmad Vidya Wicaksana Putra, Falah Awwad +2
The challenging deployment of compute- and memory-intensive methods from Deep Neural Network (DNN)-based Continual Learning (CL) underscores the critical need for a paradigm shift…
S-E Pipeline: A Vision Transformer (ViT) based Resilient Classification Pipeline for Medical Imaging Against Adversarial Attacks
Neha A S, Vivek Chaturvedi, Muhammad Shafique
Vision Transformer (ViT) is becoming widely popular in automating accurate disease diagnosis in medical imaging owing to its robust self-attention mechanism. However, ViTs remain v…
A Quality-Aware Voltage Overscaling Framework to Improve the Energy Efficiency and Lifetime of TPUs based on Statistical Error Modeling
Alireza Senobari, Jafar Vafaei, Omid Akbari +2
Deep neural networks (DNNs) are a type of artificial intelligence models that are inspired by the structure and function of the human brain, designed to process and learn from larg…
A Two-Level Thermal Cycling-aware Task Mapping Technique for Reliability Management in Manycore Systems
Fatemeh Hossein Khani, Omid Akbari, Muhammad Shafique
Reliability management is one of the primary concerns in manycore systems design. Different aging mechanisms such as Negative-Bias Temperature Instability (NBTI), Electromigration…
A Comprehensive Survey of Convolutions in Deep Learning: Applications, Challenges, and Future Trends
Abolfazl Younesi, Mohsen Ansari, MohammadAmin Fazli +3
In today's digital age, Convolutional Neural Networks (CNNs), a subset of Deep Learning (DL), are widely used for various computer vision tasks such as image classification, object…
Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging
Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker +1
Accelerating compute intensive non-real-time beam-forming algorithms in ultrasound imaging using deep learning architectures has been gaining momentum in the recent past. Nonethele…