• A Survey on Deep-Learning-Based Diabetic Retinopathy Classification 

      Sebastian, Anila; Elharrouss, Omar; Al-Maadeed, Somaya; Almaadeed, Noor ( MDPI , 2023 , Article Review)
      The number of people who suffer from diabetes in the world has been considerably increasing recently. It affects people of all ages. People who have had diabetes for a long time are affected by a condition called Diabetic ...
    • 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 ...
    • COVID-19 Lung Infection Segmentation 

      Elharrouss, Omar; Subramanian, Nandhini; Almaadeed, Noor; Al-Maadeed, Somaya ( Qatar University Press , 2020 , Poster)
      The novelty of the COVID-19 Disease and the speed of spread, that create a colossal chaos, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the ...
    • Crowd counting Using DRL-based segmentation and RL-based density estimation 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Abualsaud, Khalid; Mohamed, Amr; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2022 , Conference Paper)
      People counting is one of the computer vision tasks that can be useful for crowd management. In addition, estimating the crowdedness of a surveilled scene for crowd behavior analysis is one of the prominent challenges in ...
    • Crowd density estimation for crowd management at event entrance 

      Elharrouss, Omar; Al-Maadeed, Somaya; Abualsaud, Khalid ( Qatar University Press , 2020 , Poster)
      Crowd management is an essential tasks to ensure the safety and smoothness of any events. Using the novel technologies including surveillance cameras, communication technics between security agents, the control of the crowd ...
    • Digital forensic analysis for source video identification: A survey 

      Akbari, Younes; Al-maadeed, Somaya; Elharrouss, Omar; Khelifi, Fouad; Lawgaly, Ashref; ... more authors ( Elsevier , 2022 , Article Review)
      In recent years, many digital devices have been equipped with a video camera that allows videos to be recorded in good quality, free of charge and without restrictions. Concurrently, the widespread use of digital videos ...
    • 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 Paper)
      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 ...
    • An Encoder–Decoder-Based Method for Segmentation of COVID-19 Lung Infection in CT Images 

      Elharrouss, Omar; Subramanian, Nandhini; Al-Maadeed, Somaya ( Springer Nature , 2021 , Article)
      The novelty of the COVID-19 Disease and the speed of spread, created colossal chaotic, impulse all the worldwide researchers to exploit all resources and capabilities to understand and analyze characteristics of the ...
    • Enhanced computer vision applications with blockchain: A review of applications and opportunities 

      Najmath, Ottakath; Al-Ali, Abdulla; Al-Maadeed, Somaya; Elharrouss, Omar; Mohamed, Amr ( Elsevier , 2023 , Article)
      Videos and image processing have significantly transformed computer vision, enabling computers to analyse, and manipulate visual data. The proliferation of cameras and IR equipment has facilitated the collection of valuable ...
    • Face Anti-Spoofing Detection Using Structure-Texture Decomposition 

      Douglas, Dareen; Ben Hassen, Nada; Aslam, Asmaa; Elharrouss, Omar; Al-Maadeed, Somaya ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)
      A key area in computer vision and biometric authentication systems is detecting and classifying face anti-spoofing. The novel method for face anti-spoofing presented in this paper focuses on color invariant methods. The ...
    • Face recognition and summarization for surveillance video sequences 

      maadeed, Somaya; AlMaadeed, Noor; elharrouss, omar ( Qatar University Press , 2020 , Poster)
      Face recognition and video summarization represent chal- lenging tasks for several computer vision applications including video surveil- lance, criminal investigations, and sports applications'. For long videos, it is ...
    • Feature fusion based on joint sparse representations and wavelets for multiview classification 

      Akbari, Younes; Elharrouss, Omar; Al-Maadeed, Somaya ( Springer Science and Business Media Deutschland GmbH , 2022 , Article)
      Feature-level-based fusion has attracted much interest. Generally, a dataset can be created in different views, features, or modalities. To improve the classification rate, local information is shared among different views ...
    • GAN-Based Approach for Diabetic Retinopathy Retinal Vasculature Segmentation 

      Sebastian, Anila; Elharrouss, Omar; Al-Maadeed, Somaya; Almaadeed, Noor ( Multidisciplinary Digital Publishing Institute (MDPI) , 2023 , Article)
      Most diabetes patients develop a condition known as diabetic retinopathy after having diabetes for a prolonged period. Due to this ailment, damaged blood vessels may occur behind the retina, which can even progress to a ...
    • Hierarchical deep learning approach using fusion layer for Source Camera Model Identification based on video taken by smartphone 

      Younes, Akbari; Al Maadeed, Somaya; Elharrouss, Omar; Ottakath, Najmath; Khelifi, Fouad ( Elsevier , 2024 , Article)
      Over the last decade, videos uploaded and shared through web-based multimedia platforms and mobile applications have proliferated worldwide. This is because cloud-based applications such as iCloud, YouTube, Facebook, ...
    • Image Generation: A Review 

      Elasri, Mohamed; Elharrouss, Omar; Al-Maadeed, Somaya; Tairi, Hamid ( Springer , 2022 , Article Review)
      The creation of an image from another and from different types of data including text, scene graph, and object layout, is one of the very challenging tasks in computer vision. In addition, capturing images from different ...
    • Image Inpainting: A Review 

      Elharrouss, Omar; Almaadeed, Noor; Al-Maadeed, Somaya; Akbari, Younes ( Springer , 2019 , Article)
      Although image inpainting, or the art of repairing the old and deteriorated images, has been around for many years, it has recently gained even more popularity, because of the recent development in image processing techniques. ...
    • Intelligent monitoring system for crowd monitoring and social distancing with mask control 

      Al Madeed, Somaya; elharrouss, Omar; Ottakath, Najmath ( Qatar University Press , 2020 , Poster)
      Due to the current COVID situation , there's a huge need for crowd control as well as efficient social distancing. Security cameras everywhere but personnel to monitor it, a few. In this project we use crowd counting and ...
    • LWKPCA: A New Robust Method for Face Recognition Under Adverse Conditions 

      Maafiri, Ayyad; Bir-Jmel, Ahmed; Elharrouss, Omar; Khelifi, Fouad; Chougdali, Khalid ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2022 , Article)
      Over the last two decades, face recognition (FR) has become one of the most prevailing biometric applications for effective people identification as it offers practical advantages over other biometric modalities. However, ...
    • Multi-scale-based Network for Image Dehazing 

      Araji, Chaza; Zahra, Ayaa; Alinsari, Leen; Al-Aloosi, Maryam; Elharrouss, Omar; ... more authors ( Institute of Electrical and Electronics Engineers Inc. (IEEE) , 2023 , Article)
      Image and video dehazing is a difficult subject that has received a lot of attention in the field of computer vision. The presence of air haze in photos and movies can reduce visual quality dramatically, resulting in a ...
    • A New Dataset for Forged Smartphone Videos Detection: Description and Analysis 

      Akbari, Younes; Najeeb, Al Anood; Al Maadeed, Somaya; Elharrouss, Omar; Khelifi, Fouad; ... more authors ( Institute of Electrical and Electronics Engineers Inc. , 2023 , Article)
      The advancement of Internet technology has significantly impacted daily life, which is influenced by digital videos taken with smartphones as the most popular type of multimedia. These digital videos are extensively sent ...