5 papers
ASDFormer: A Transformer with Mixtures of Pooling-Classifier Experts for Robust Autism Diagnosis and Biomarker Discovery
Mohammad Izadi, Mehran Safayani
Autism Spectrum Disorder (ASD) is a complex neurodevelopmental condition marked by disruptions in brain connectivity. Functional MRI (fMRI) offers a non-invasive window into large-…
A Dual-Attention Graph Network for fMRI Data Classification
Amirali Arbab, Zeinab Davarani, Mehran Safayani
Understanding the complex neural activity dynamics is crucial for the development of the field of neuroscience. Although current functional MRI classification approaches tend to be…
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…
Unpaired Image-to-Image Translation with Content Preserving Perspective: A Review
Mehran Safayani, Behnaz Mirzapour, Hanieh aghaebrahimiyan +2
Image-to-image translation (I2I) transforms an image from a source domain to a target domain while preserving source content. Most computer vision applications are in the field of…
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…