no code implementations • 11 Nov 2023 • Ali Farzipour, Omid Nejati Manzari, Shahriar B. Shokouhi
The experimental evaluations demonstrate that the hybrid network with the locality module outperforms pure transformer-based models and some of the best convolutional networks in accuracy.
1 code implementation • 19 Feb 2023 • Omid Nejati Manzari, Hamid Ahmadabadi, Hossein Kashiani, Shahriar B. Shokouhi, Ahmad Ayatollahi
Convolutional Neural Networks (CNNs) have advanced existing medical systems for automatic disease diagnosis.
no code implementations • 13 Jul 2022 • Omid Nejati Manzari, Amin Boudesh, Shahriar B. Shokouhi
The results demonstrate the superiority of the proposed model in the traffic sign detection tasks.
no code implementations • 7 Feb 2021 • Fazael Ayatollahi, Shahriar B. Shokouhi, Ritse M. Mann, Jonas Teuwen
Purpose: We propose a deep learning-based computer-aided detection (CADe) method to detect breast lesions in ultrafast DCE-MRI sequences.
no code implementations • 22 Mar 2020 • Sina Mohammadi, Sina Ghofrani Majelan, Shahriar B. Shokouhi
A big challenge in action recognition in still images is the lack of large enough datasets, which is problematic for training deep Convolutional Neural Networks (CNNs) due to the overfitting issue.
no code implementations • 29 Sep 2018 • Hossein Kashiani, Shahriar B. Shokouhi
Visual object tracking is one of the interesting and important areas in computer vision that achieves remarkable improvements in recent years.
no code implementations • 16 Mar 2018 • Hossein Kashiyani, Shahriar B. Shokouhi
Two sets of overlapping patches with different sizes are extracted from target candidates to construct two dictionaries with consideration of joint sparse representation.