13 citations · 39 across the 11 of their papers we have counts for
11 papers
GraPLUS: Graph-based Placement Using Semantics for Image Composition
Mir Mohammad Khaleghi, Mehran Safayani, Abdolreza Mirzaei
We present GraPLUS (Graph-based Placement Using Semantics), a novel framework for plausible object placement in images that leverages scene graphs and large language models. Our ap…
Knowledge Distillation on Spatial-Temporal Graph Convolutional Network for Traffic Prediction
Mohammad Izadi, Mehran Safayani, Abdolreza Mirzaei
Efficient real-time traffic prediction is crucial for reducing transportation time. To predict traffic conditions, we employ a spatio-temporal graph neural network (ST-GNN) to mode…
Clustering based on Mixtures of Sparse Gaussian Processes
Zahra Moslehi, Abdolreza Mirzaei, Mehran Safayani
Creating low dimensional representations of a high dimensional data set is an important component in many machine learning applications. How to cluster data using their low dimensi…
Deep Graph Clustering via Mutual Information Maximization and Mixture Model
Maedeh Ahmadi, Mehran Safayani, Abdolreza Mirzaei
Attributed graph clustering or community detection which learns to cluster the nodes of a graph is a challenging task in graph analysis. In this paper, we introduce a contrastive l…
Biomedical text summarization using Conditional Generative Adversarial Network(CGAN)
Seyed Vahid Moravvej, Abdolreza Mirzaei, Mehran Safayani
Text summarization in medicine can help doctors for reducing the time to access important information from countless documents. The paper offers a supervised extractive summarizati…
Optimized Participation of Multiple Fusion Functions in Consensus Creation: An Evolutionary Approach
Elaheh Rashedi, Abdolreza Mirzaei
Recent studies show that ensemble methods enhance the stability and robustness of unsupervised learning. These approaches are successfully utilized to construct multiple clustering…
A Novel Multi-clustering Method for Hierarchical Clusterings, Based on Boosting
Elaheh Rashedi, Abdolreza Mirzaei
Bagging and boosting are proved to be the best methods of building multiple classifiers in classification combination problems. In the area of "flat clustering" problems, it is als…
A Latent Variable Model for Two-Dimensional Canonical Correlation Analysis and its Variational Inference
Mehran Safayani, Saeid Momenzadeh
Describing the dimension reduction (DR) techniques by means of probabilistic models has recently been given special attention. Probabilistic models, in addition to a better interpr…
An EM Based Probabilistic Two-Dimensional CCA with Application to Face Recognition
Mehran Safayani, Seyed Hashem Ahmadi, Homayun Afrabandpey +1
Recently, two-dimensional canonical correlation analysis (2DCCA) has been successfully applied for image feature extraction. The method instead of concatenating the columns of the…
Duplicate matching and estimating features for detection of copy-move images forgery
Ghassem Alikhajeh, Abdolreza Mirzaei, Mehran Safayani +1
Copy-move forgery is the most popular and simplest image manipulation method. In this type of forgery, an area from the image copied, then after post processing such as rotation an…
Generating Graphical Chain by Mutual Matching of Bayesian Network and Extracted Rules of Bayesian Network Using Genetic Algorithm
Mostafa Sepahvand, Ghasem Alikhajeh, Meysam Ghaffari +1
With the technology development, the need of analyze and extraction of useful information is increasing. Bayesian networks contain knowledge from data and experts that could be use…