126 citations · 184 across the 31 of their papers we have counts for
34 papers
Meta-Learning for Classifier Selection in Image Datasets: A Feature-Driven Framework for Accuracy Prediction
Zahra Nabizadeh_Shahre_Babak, Farzaneh Koohestani, Nader Karimi +2
No Free Lunch theorem implies that any performance gains achieved by a classifier on a particular image distribution are necessarily offset by a loss of performance over the set of…
RAVQ-HoloNet: Rate-Adaptive Vector-Quantized Hologram Compression
Shima Rafiei, Zahra Nabizadeh Shahr-Babak, Soroush Khoubyarian +3
Holography offers significant potential for AR/VR applications. However, its adoption is limited by the high demand for data compression. Existing deep learning approaches generall…
BrightVAE: Luminosity Enhancement in Underexposed Endoscopic Images
Farzaneh Koohestani, Zahra Nabizadeh, Nader Karimi +2
The enhancement of image luminosity is especially critical in endoscopic images. Underexposed endoscopic images often suffer from reduced contrast and uneven brightness, significan…
Optimal Transcoding Preset Selection for Live Video Streaming
Zahra Nabizadeh, Maedeh Jamali, Nader Karimi +2
In today's digital landscape, video content dominates internet traffic, underscoring the need for efficient video processing to support seamless live streaming experiences on platf…
Sequence-to-Sequence Multi-Modal Speech In-Painting
Mahsa Kadkhodaei Elyaderani, Shahram Shirani
Speech in-painting is the task of regenerating missing audio contents using reliable context information. Despite various recent studies in multi-modal perception of audio in-paint…
A Parametric Rate-Distortion Model for Video Transcoding
Maedeh Jamali, Nader Karimi, Shadrokh Samavi +1
Over the past two decades, the surge in video streaming applications has been fueled by the increasing accessibility of the internet and the growing demand for network video. As us…
High-Quality Live Video Streaming via Transcoding Time Prediction and Preset Selection
Zahra Nabizadeh Shahre-Babak, Nader Karimi, Krishna Rapaka +3
Video streaming often requires transcoding content into different resolutions and bitrates to match the recipient's internet speed and screen capabilities. Video encoders like x264…
Supervised Deep Learning for Content-Aware Image Retargeting with Fourier Convolutions
MohammadHossein Givkashi, MohammadReza Naderi, Nader Karimi +2
Image retargeting aims to alter the size of the image with attention to the contents. One of the main obstacles to training deep learning models for image retargeting is the need f…
A New Non-Negative Matrix Factorization Approach for Blind Source Separation of Cardiovascular and Respiratory Sound Based on the Periodicity of Heart and Lung Function
Yasaman Torabi, Shahram Shirani, James P. Reilly
Auscultation provides a rich diversity of information to diagnose cardiovascular and respiratory diseases. However, sound auscultation is challenging due to noise. In this study, a…
Endoscopy Classification Model Using Swin Transformer and Saliency Map
Zahra Sobhaninia, Nasrin Abharian, Nader Karimi +2
Endoscopy is a valuable tool for the early diagnosis of colon cancer. However, it requires the expertise of endoscopists and is a time-consuming process. In this work, we propose a…
SFI-Swin: Symmetric Face Inpainting with Swin Transformer by Distinctly Learning Face Components Distributions
MohammadReza Naderi, MohammadHossein Givkashi, Nader Karimi +2
Image inpainting consists of filling holes or missing parts of an image. Inpainting face images with symmetric characteristics is more challenging than inpainting a natural scene.…
Progressive Hologram Generation Based on Object Saliency
Shima Rafiei, Shahram Shirani
Computer-generated hologram (CGH) is promised to realize the next generation of 3D visual media with life-changing applications. However, one of the essential obstacles to this tec…
Dynamic-Pix2Pix: Noise Injected cGAN for Modeling Input and Target Domain Joint Distributions with Limited Training Data
Mohammadreza Naderi, Nader Karimi, Ali Emami +2
Learning to translate images from a source to a target domain with applications such as converting simple line drawing to oil painting has attracted significant attention. The qual…
OAIR: Object-Aware Image Retargeting Using PSO and Aesthetic Quality Assessment
Mohammad Reza Naderi, Mohammad Hossein Givkashi, Nader Karimi +2
Image retargeting aims at altering an image size while preserving important content and minimizing noticeable distortions. However, previous image retargeting methods create output…
Adaptive search area for fast motion estimation
S. M. Reza Soroushmehr, Shadrokh Samavi, Shahram Shirani
This paper suggests a new method for determining the search area for a motion estimation algorithm based on block matching. The search area is adaptively found in the proposed meth…
MSGDD-cGAN: Multi-Scale Gradients Dual Discriminator Conditional Generative Adversarial Network
Mohammadreza Naderi, Zahra Nabizadeh, Nader Karimi +2
Conditional Generative Adversarial Networks (cGANs) have been used in many image processing tasks. However, they still have serious problems maintaining the balance between conditi…
Robust Watermarking using Diffusion of Logo into Autoencoder Feature Maps
Maedeh Jamali, Nader Karim, Pejman Khadivi +2
Digital contents have grown dramatically in recent years, leading to increased attention to copyright. Image watermarking has been considered one of the most popular methods for co…
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…