no code implementations • 17 Aug 2023 • Neda Rahimpour Anaraki, Alireza Azadbakht, Maryam Tahmasbi, Hadi Farahani, Saeed Reza Kheradpisheh, Alireza Javaheri
In this paper, we focus on deep learning and provide three geometric post-processing methods that improve the quality of the work.
no code implementations • 8 Sep 2019 • Narges Mirehi, Maryam Tahmasbi
In this paper, we present a new hand gesture recognition approach called GNG-IEMD.
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.
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