• Attention-based Network for Image/Video Salient Object Detection 

      Elharrouss, Omar; Elkaitouni, Soukaina El Idrissi; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed (2023 , Article)
      The goal of video or image salient object detection is to identify the most important object in the scene, which can be helpful in many computer vision-based tasks. As the human vision framework has a successful capacity ...
    • Edge Detection with multi-scale representation and refined Network 

      Elharrouss, Omar; Akbari, Younes; Al-Maadeed, Somaya; Bouridane, Ahmed ( Institution of Engineering and Technology , 2022 , Conference)
      Edge detection is a representation of boundaries between objects and regions in an image. Due to the variations of types, scales, intensities as well as background, the detection of these boundaries represents a challenge ...
    • PRNU Estimation based on Weighted Averaging for Source Smartphone Video Identification 

      Lawgaly, Ashref; Khelifi, Fouad; Bouridane, Ahmed; Al-Maaddeed, Somaya; Akbari, Younes ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference)
      Photo response non-uniformity (PRNU) noise is a sensor pattern noise characterizing imperfections in the imaging device. The PRNU is a unique noise for each sensor device, and it has been generally utilized in the literature ...
    • Simultaneous instance pooling and bag representation selection approach for multiple-instance learning (MIL) using vision transformer 

      Waqas, Muhammad; Tahir, Muhammad Atif; Author, Muhammad Danish; Al-Maadeed, Sumaya; Bouridane, Ahmed; ... more authors ( Springer Science and Business Media Deutschland GmbH , 2024 , Article)
      In multiple-instance learning (MIL), the existing bag encoding and attention-based pooling approaches assume that the instances in the bag have no relationship among them. This assumption is unsuited, as the instances in ...
    • Video steganography: recent advances and challenges 

      Kunhoth, Jayakanth; Subramanian, Nandhini; Al-Maadeed, Somaya; Bouridane, Ahmed ( Springer , 2023 , Article)
      Video steganography approach enables hiding chunks of secret information inside video sequences. The features of video sequences including high capacity as well as complex structure make them more preferable for choosing ...