1 code implementation • 31 Aug 2023 • Reza Azad, Amirhossein Kazerouni, Babak Azad, Ehsan Khodapanah Aghdam, Yury Velichko, Ulas Bagci, Dorit Merhof
Vision Transformer (ViT) models have demonstrated a breakthrough in a wide range of computer vision tasks.
no code implementations • 7 Aug 2023 • Babak Azad, Ahmed Abdalla, Kwanghee Won, Ali Mirzakhani Nafchi
To overcome these limitations, a new Context Bridge is proposed to integrate the local representation capability of the U-Net network in the transformer model.
no code implementations • 8 Aug 2014 • Reza Azad, Babak Azad, Iman Tavakoli Kazerooni
In feature extraction stage the Cross-correlation coefficient is applied on the gesture to recognize it.
no code implementations • 7 Aug 2014 • Reza Azad, Babak Azad, Nabil Belhaj Khalifa, Shahram Jamali
In the proposed technique, first, the hand gesture and face location is extracted from the main image by combination of skin and cascade detector and then is sent to recognition stage.
no code implementations • 24 Jul 2014 • Reza Azad, Babak Azad, Hamid Reza Shayegh
This method has been tested on available data set that has different images of the background, considering distance, and angel of view so that the correct extraction rate of plate reached at 98% and character recognition rate achieved at 99. 12%.
no code implementations • 20 Jul 2014 • Reza Azad, Babak Azad, Iman Tavakoli Kazerooni
Road sign recognition is one of the core technologies in Intelligent Transport Systems.
no code implementations • 9 Jul 2014 • Reza Azad, Babak Azad, Iraj Mogharreb, Shahram Jamali
For evaluation of the proposed method we considered a Persian numerals database with 20, 000 handwritten samples.