no code implementations • 14 Nov 2023 • Melaku N. Getahun, Oleg Y. Rogov, Dmitry V. Dylov, Andrey Somov, Ahmed Bouridane, Rifat Hamoudi
The proposed solution has been evaluated using the DRIVE, CHASE-DB1, and STARE datasets, and competitive results are obtained when compared with previous studies.
no code implementations • 30 Jan 2023 • Remy Peyret, Duaa alSaeed, Fouad Khelifi, Nadia Al-Ghreimil, Heyam Al-Baity, Ahmed Bouridane
The system showed excellent performance when compared with pretrained CNNs and other classification methods, as it avoids the preprocessing phase while using a single CNN model for classification.
no code implementations • 17 Nov 2022 • Ahmad Chaddad, Qizong Lu, Jiali Li, Yousef Katib, Reem Kateb, Camel Tanougast, Ahmed Bouridane, Ahmed Abdulkadir
(2) Domain adaptation and transfer learning enable AI models to be trained and applied across multiple domains.
no code implementations • 8 Aug 2022 • Longzhao Huang, Yujie Li, Xu Wang, Haoyu Wang, Ahmed Bouridane, Ahmad Chaddad
We propose a differential residual model (DRNet) combined with a new loss function to make use of the difference information of two eye images.
no code implementations • 16 May 2021 • Richard Jiang, Paul Chazot, Danny Crookes, Ahmed Bouridane, M Emre Celebi
Facial phenotyping has recently been successfully exploited for medical diagnosis as a novel way to diagnose a range of diseases, where facial biometrics has been revealed to have rich links to underlying genetic or medical causes.
no code implementations • 11 Sep 2019 • Khan Faraz, Ahmed Bouridane, Richard Jiang, Tiancheng Xia, Paul Chazot, Abdel Ennaceur
Gene expression of social actions in Drosophilae has been attracting wide interest from biologists, medical scientists and psychologists.
no code implementations • 5 Sep 2019 • Gary Storey, Ahmed Bouridane, Richard Jiang, Chang-Tsun Li
While facial biometrics has been widely used for identification purpose, it has recently been researched as medical biometrics for a range of diseases.
no code implementations • 25 Jul 2019 • Noor Almaadeed, Omar Elharrouss, Somaya Al-Maadeed, Ahmed Bouridane, Azeddine Beghdadi
For that, this paper proposes a new technic for multiple human action recognition and summarization for surveillance videos.
no code implementations • 31 May 2019 • Gary Storey, Richard Jiang, Shelagh Keogh, Ahmed Bouridane, Chang-Tsun Li
The capability to perform facial analysis from video sequences has significant potential to positively impact in many areas of life.
no code implementations • 29 May 2019 • Ranjith Dinakaran, Philip Easom, Li Zhang, Ahmed Bouridane, Richard Jiang, Eran Edirisinghe
In our work, GAN has been trained intensively on low resolution images, in order to neutralize the challenges of the pedestrian detection in the wild, and considered humans, and few other classes for detection in smart cities.
no code implementations • 18 Nov 2018 • Ranjith K Dinakaran, Philip Easom, Ahmed Bouridane, Li Zhang, Richard Jiang, Fozia Mehboob, Abdul Rauf
Generative adversarial networks (GANs) have been promising for many computer vision problems due to their powerful capabilities to enhance the data for training and test.