no code implementations • 8 Sep 2019 • Narges Mirehi, Maryam Tahmasbi, Alireza Tavakoli Targhi
Most existing approaches to object recognition are based on pixels.
no code implementations • 19 Dec 2018 • Rashidedin Jahandideh, Alireza Tavakoli Targhi, Maryam Tahmasbi
In this paper we tackle the prediction of physical attributes from face images using Convolutional Neural Networks trained on our dataset named FIRW.
1 code implementation • 30 Sep 2018 • Amirhossein Dadashzadeh, Alireza Tavakoli Targhi
Accurate and reliable image segmentation is an essential part of biomedical image analysis.
2 code implementations • 14 Jun 2018 • Amirhossein Dadashzadeh, Alireza Tavakoli Targhi, Maryam Tahmasbi, Majid Mirmehdi
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 segmentation to determine hand regions, and the second stage identifies the gesture.
Ranked #1 on Hand Gesture Segmentation on OUHANDS