most citedPhysical Attribute Prediction Using Deep Residual Neural Networks

3 citations · 3 across the 1 of their papers we have counts for

collaborators

5 papers

cs.CV2019

New Graph-based Features For Shape Recognition

Narges Mirehi, Maryam Tahmasbi, Alireza Tavakoli Targhi

Shape recognition is the main challenging problem in computer vision. Different approaches and tools are used to solve this problem. Most existing approaches to object recognition…

cs.CV2018★ 3 cited

Physical Attribute Prediction Using Deep Residual Neural Networks

Rashidedin Jahandideh, Alireza Tavakoli Targhi, Maryam Tahmasbi

Images taken from the Internet have been used alongside Deep Learning for many different tasks such as: smile detection, ethnicity, hair style, hair colour, gender and age predicti…

cs.CV2018

Multi-Level Contextual Network for Biomedical Image Segmentation

Amirhossein Dadashzadeh, Alireza Tavakoli Targhi

Accurate and reliable image segmentation is an essential part of biomedical image analysis. In this paper, we consider the problem of biomedical image segmentation using deep convo…

cs.CV2018

HGR-Net: A Fusion Network for Hand Gesture Segmentation and Recognition

Amirhossein Dadashzadeh, Alireza Tavakoli Targhi, Maryam Tahmasbi +1

We propose a two-stage convolutional neural network (CNN) architecture for robust recognition of hand gestures, called HGR-Net, where the first stage performs accurate semantic seg…

physics.atm-clus2018

The logic of behavior of atoms

Madjid Eshaghi Gordji, Gholamreza Askari, Alireza Tavakoli Targhi

Understanding of the atomic structures and ways in which the atoms interacting is critical to the understanding of chemistry. In this paper applied the concepts of game theory in e…