495 citations · 564 across the 13 of their papers we have counts for
5 papers · 2 filters
Traffic Sign Recognition Using Local Vision Transformer
Ali Farzipour, Omid Nejati Manzari, Shahriar B. Shokouhi
Recognition of traffic signs is a crucial aspect of self-driving cars and driver assistance systems, and machine vision tasks such as traffic sign recognition have gained significa…
Distilling Knowledge from CNN-Transformer Models for Enhanced Human Action Recognition
Hamid Ahmadabadi, Omid Nejati Manzari, Ahmad Ayatollahi
This paper presents a study on improving human action recognition through the utilization of knowledge distillation, and the combination of CNN and ViT models. The research aims to…
Dilated-UNet: A Fast and Accurate Medical Image Segmentation Approach using a Dilated Transformer and U-Net Architecture
Davoud Saadati, Omid Nejati Manzari, Sattar Mirzakuchaki
Medical image segmentation is crucial for the development of computer-aided diagnostic and therapeutic systems, but still faces numerous difficulties. In recent years, the commonly…
MedViT: A Robust Vision Transformer for Generalized Medical Image Classification
Omid Nejati Manzari, Hamid Ahmadabadi, Hossein Kashiani +2
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis. However, there are still concerns about the reliability of deep medical…
Robust Transformer with Locality Inductive Bias and Feature Normalization
Omid Nejati Manzari, Hossein Kashiani, Hojat Asgarian Dehkordi +1
Vision transformers have been demonstrated to yield state-of-the-art results on a variety of computer vision tasks using attention-based networks. However, research works in transf…