24 citations · 53 across the 20 of their papers we have counts for
21 papers
SAVE: Spectral-Shift-Aware Adaptation of Image Diffusion Models for Text-driven Video Editing
Nazmul Karim, Umar Khalid, Mohsen Joneidi +2
Text-to-Image (T2I) diffusion models have achieved remarkable success in synthesizing high-quality images conditioned on text prompts. Recent methods have tried to replicate the su…
Neural Routing in Meta Learning
Jicang Cai, Saeed Vahidian, Weijia Wang +2
Meta-learning often referred to as learning-to-learn is a promising notion raised to mimic human learning by exploiting the knowledge of prior tasks but being able to adapt quickly…
Two-way Spectrum Pursuit for CUR Decomposition and Its Application in Joint Column/Row Subset Selection
Ashkan Esmaeili, Mohsen Joneidi, Mehrdad Salimitari +2
The problem of simultaneous column and row subset selection is addressed in this paper. The column space and row space of a matrix are spanned by its left and right singular vector…
EEG Signal Dimensionality Reduction and Classification using Tensor Decomposition and Deep Convolutional Neural Networks
Mojtaba Taherisadr, Mohsen Joneidi, Nazanin Rahnavard
A new deep learning-based electroencephalography (EEG) signal analysis framework is proposed. While deep neural networks, specifically convolutional neural networks (CNNs), have ga…
Functional Brain Networks Discovery Using Dictionary Learning with Correlated Sparsity
Mohsen Joneidi
Analysis of data from functional magnetic resonance imaging (fMRI) results in constructing functional brain networks. Principal component analysis (PCA) and independent component a…
AI-enabled Blockchain: An Outlier-aware Consensus Protocol for Blockchain-based IoT Networks
Mehrdad Salimitari, Mohsen Joneidi, Mainak Chatterjee
A new framework for a secure and robust consensus in blockchain-based IoT networks is proposed using machine learning. Hyperledger fabric, which is a blockchain platform developed…
Source Localization and Tracking for Dynamic Radio Cartography using Directional Antennas
Mohsen Joneidi, Hassan Yazdani, Azadeh Vosoughi +1
Utilization of directional antennas is a promising solution for efficient spectrum sensing and accurate source localization and tracking. Spectrum sensors equipped with directional…
Large-Scale Spectrum Occupancy Learning via Tensor Decomposition and LSTM Networks
Mohsen Joneidi, Ismail Alkhouri, Nazanin Rahnavard
A new paradigm for large-scale spectrum occupancy learning based on long short-term memory (LSTM) recurrent neural networks is proposed. Studies have shown that spectrum usage is a…
Primary User Localization and Online Radio Cartography via Structured Tensor Decomposition
Mohsen Joneidi, Nazanin Rahnavard
Source localization and radio cartography using multi-way representation of spectrum is the subject of study in this paper. A joint matrix factorization and tensor decomposition pr…
Iterative Projection and Matching: Finding Structure-preserving Representatives and Its Application to Computer Vision
Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard +1
The goal of data selection is to capture the most structural information from a set of data. This paper presents a fast and accurate data selection method, in which the selected sa…
Robust Target Localization Based on Squared Range Iterative Reweighted Least Squares
Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi +1
In this paper, the problem of target localization in the presence of outlying sensors is tackled. This problem is important in practice because in many real-world applications the…
Dynamic Sensor Selection for Reliable Spectrum Sensing via E-Optimal Criterion
Mohsen Joneidi, Alireza Zaeemzadeh, Nazanin Rahnavard
Reliable and efficient spectrum sensing through dynamic selection of a subset of spectrum sensors is studied. The problem of selecting K sensor measurements from a set of M potenti…
Adaptive Non-uniform Compressive Sampling for Time-varying Signals
Alireza Zaeemzadeh, Mohsen Joneidi, Nazanin Rahnavard
In this paper, adaptive non-uniform compressive sampling (ANCS) of time-varying signals, which are sparse in a proper basis, is introduced. ANCS employs the measurements of previou…
Joint Dictionary Learning for Example-based Image Super-resolution
Mojtaba Sahraee-Ardakan, Mohsen Joneidi
In this paper, we propose a new joint dictionary learning method for example-based image super-resolution (SR), using sparse representation. The low-resolution (LR) dictionary is t…
Missing Spectrum-Data Recovery in Cognitive Radio Networks Using Piecewise Constant Nonnegative Matrix Factorization
Alireza Zaeemzadeh, Mohsen Joneidi, Behzad Shahrasbi +1
In this paper, we propose a missing spectrum data recovery technique for cognitive radio (CR) networks using Nonnegative Matrix Factorization (NMF). It is shown that the spectrum m…
A Study on Clustering for Clustering Based Image De-Noising
Hossein Bakhshi Golestani, Mohsen Joneidi, Mostafa Sadeghi
In this paper, the problem of de-noising of an image contaminated with Additive White Gaussian Noise (AWGN) is studied. This subject is an open problem in signal processing for mor…
Matrix Coherency Graph: A Tool for Improving Sparse Coding Performance
Mohsen Joneidi, Mahdi Barzegar Khalilsarai, Alireza Zaeemzadeh +1
Exact recovery of a sparse solution for an underdetermined system of linear equations implies full search among all possible subsets of the dictionary, which is computationally int…
Union of Low-Rank Subspaces Detector
Mohsen Joneidi, Parvin Ahmadi, Mostafa Sadeghi +1
The problem of signal detection using a flexible and general model is considered. Due to applicability and flexibility of sparse signal representation and approximation, it has att…
Sparse Auto-Regressive: Robust Estimation of AR Parameters
Mohsen Joneidi
In this paper I present a new approach for regression of time series using their own samples. This is a celebrated problem known as Auto-Regression. Dealing with outlier or missed…
Optimization of Clustering for Clustering-based Image Denoising
Mohsen Joneidi, Mostafa Sadeghi
In this paper, the problem of de-noising of an image contaminated with additive white Gaussian noise (AWGN) is studied. This subject has been continued to be an open problem in sig…
State-Dependent Z Channel
Saeed Hajizadeh, Mostafa Monemizadeh
In this paper we study the Z channel with side information non-causally available at the encoders. We use Marton encoding along with Gelfand-Pinsker random binning scheme and Chong…