126 citations · 184 across the 31 of their papers we have counts for
8 papers · 1 filter
Literature Review of Computer Tools for the Visually Impaired: a focus on Search Engines
Guy Meyer, Alan Wassyng, Mark Lawford +2
A sudden reliance on the internet has resulted in the global standardization of specific software and interfaces tailored for the average user. Whether it be web apps or dedicated…
Classification of Diabetic Retinopathy Using Unlabeled Data and Knowledge Distillation
Sajjad Abbasi, Mohsen Hajabdollahi, Pejman Khadivi +4
Knowledge distillation allows transferring knowledge from a pre-trained model to another. However, it suffers from limitations, and constraints related to the two models need to be…
Hardware Implementation of Adaptive Watermarking Based on Local Spatial Disorder Analysis
Mohsen Hajabdolahi, Nader Karimi, Shahram Shirani +1
With the increasing use of the internet and the ease of exchange of multimedia content, the protection of ownership rights has become a significant concern. Watermarking is an effi…
A fast semi-automatic method for classification and counting the number and types of blood cells in an image
Hamed Sadeghi, Shahram Shirani, David W. Capson
A novel and fast semi-automatic method for segmentation, locating and counting blood cells in an image is proposed. In this method, thresholding is used to separate the nucleus fro…
Acceleration of Convolutional Neural Network Using FFT-Based Split Convolutions
Kamran Chitsaz, Mohsen Hajabdollahi, Nader Karimi +2
Convolutional neural networks (CNNs) have a large number of variables and hence suffer from a complexity problem for their implementation. Different methods and techniques have dev…
Unlabeled Data Deployment for Classification of Diabetic Retinopathy Images Using Knowledge Transfer
Sajjad Abbasi, Mohsen Hajabdollahi, Nader Karimi +2
Convolutional neural networks (CNNs) are extensively beneficial for medical image processing. Medical images are plentiful, but there is a lack of annotated data. Transfer learning…
Splitting Convolutional Neural Network Structures for Efficient Inference
Emad MalekHosseini, Mohsen Hajabdollahi, Nader Karimi +2
For convolutional neural networks (CNNs) that have a large volume of input data, memory management becomes a major concern. Memory cost reduction can be an effective way to deal wi…
Convolutional Neural Network Pruning Using Filter Attenuation
Morteza Mousa-Pasandi, Mohsen Hajabdollahi, Nader Karimi +2
Filters are the essential elements in convolutional neural networks (CNNs). Filters are corresponded to the feature maps and form the main part of the computational and memory requ…