Search Results - "Al Rahhal, Mohamad M."

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  1. 1

    Multilanguage Transformer for Improved Text to Remote Sensing Image Retrieval by Rahhal, Mohamad M. Al, Bazi, Yakoub, Alsharif, Norah A., Bashmal, Laila, Alajlan, Naif, Melgani, Farid

    “…Cross-modal text-image retrieval in remote sensing (RS) provides a flexible retrieval experience for mining useful information from RS repositories. However,…”
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    Journal Article
  2. 2

    Deep Unsupervised Embedding for Remote Sensing Image Retrieval Using Textual Cues by Rahhal, Mohamad M. Al, Bazi, Yakoub, Abdullah, Taghreed, Mekhalfi, Mohamed L., Zuair, Mansour

    Published in Applied sciences (01-12-2020)
    “…Compared to image-image retrieval, text-image retrieval has been less investigated in the remote sensing community, possibly because of the complexity of…”
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    Journal Article
  3. 3

    Vision Transformers for Remote Sensing Image Classification by Bazi, Yakoub, Bashmal, Laila, Rahhal, Mohamad M. Al, Dayil, Reham Al, Ajlan, Naif Al

    Published in Remote sensing (Basel, Switzerland) (01-02-2021)
    “…In this paper, we propose a remote-sensing scene-classification method based on vision transformers. These types of networks, which are now recognized as…”
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    Journal Article
  4. 4

    Contrasting Dual Transformer Architectures for Multi-Modal Remote Sensing Image Retrieval by Rahhal, Mohamad M. Al, Bencherif, Mohamed Abdelkader, Bazi, Yakoub, Alharbi, Abdullah, Mekhalfi, Mohamed Lamine

    Published in Applied sciences (01-01-2023)
    “…Remote sensing technology has advanced rapidly in recent years. Because of the deployment of quantitative and qualitative sensors, as well as the evolution of…”
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    Journal Article
  5. 5

    Open set classification of Hyperspectral images with energy models by Alwadei, Bashair, Lamine Mekhalfi, Mohamed, Bazi, Yakoub, M Al Rahhal, Mohamad, Zuair, Mansour

    Published in International journal of remote sensing (17-12-2023)
    “…Hyperspectral images are rich in spectral data, lending themselves well to pixel-level image classification tasks. Previous studies primarily focus on…”
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    Journal Article
  6. 6

    Visual Question Generation From Remote Sensing Images by Bashmal, Laila, Bazi, Yakoub, Melgani, Farid, Ricci, Riccardo, Al Rahhal, Mohamad M., Zuair, Mansour

    “…Visual question generation (VQG) is a fundamental task in vision-language understanding that aims to generate relevant questions about the given input image…”
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    Journal Article
  7. 7

    Learning a Multi-Branch Neural Network from Multiple Sources for Knowledge Adaptation in Remote Sensing Imagery by Al Rahhal, Mohamad, Bazi, Yakoub, Abdullah, Taghreed, Mekhalfi, Mohamed, AlHichri, Haikel, Zuair, Mansour

    Published in Remote sensing (Basel, Switzerland) (01-12-2018)
    “…In this paper we propose a multi-branch neural network, called MB-Net, for solving the problem of knowledge adaptation from multiple remote sensing scene…”
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    Journal Article
  8. 8

    Spinal Cord Segmentation in Ultrasound Medical Imagery by Benjdira, Bilel, Ouni, Kais, Al Rahhal, Mohamad M., Albakr, Abdulrahman, Al-Habib, Amro, Mahrous, Emad

    Published in Applied sciences (01-02-2020)
    “…In this paper, we study and evaluate the task of semantic segmentation of the spinal cord in ultrasound medical imagery. This task is useful for neurosurgeons…”
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    Journal Article
  9. 9

    Simple Yet Effective Fine-Tuning of Deep CNNs Using an Auxiliary Classification Loss for Remote Sensing Scene Classification by Bazi, Yakoub, Al Rahhal, Mohamad M., Alhichri, Haikel, Alajlan, Naif

    Published in Remote sensing (Basel, Switzerland) (05-12-2019)
    “…The current literature of remote sensing (RS) scene classification shows that state-of-the-art results are achieved using feature extraction methods, where…”
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    Journal Article
  10. 10

    TextRS: Deep Bidirectional Triplet Network for Matching Text to Remote Sensing Images by Abdullah, Taghreed, Bazi, Yakoub, Al Rahhal, Mohamad M., Mekhalfi, Mohamed L., Rangarajan, Lalitha, Zuair, Mansour

    Published in Remote sensing (Basel, Switzerland) (01-02-2020)
    “…Exploring the relevance between images and their respective natural language descriptions, due to its paramount importance, is regarded as the next frontier in…”
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    Journal Article
  11. 11

    Learning to enhance areal video captioning with visual question answering by Al Mehmadi, Shima M., Bazi, Yakoub, Al Rahhal, Mohamad M., Zuair, Mansour

    Published in International journal of remote sensing (16-09-2024)
    “…The utilization of Unmanned Aerial Vehicles (UAV) in remote sensing (RS) has witnessed a significant surge, offering valuable insights into Earth dynamics and…”
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    Journal Article
  12. 12

    Convolutional Neural Networks for Electrocardiogram Classification by Al Rahhal, Mohamad M., Bazi, Yakoub, Al Zuair, Mansour, Othman, Esam, BenJdira, Bilel

    “…In this paper, we propose a transfer learning approach for Arrhythmia Detection and Classification in Cross ECG Databases. This approach relies on a deep…”
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    Journal Article
  13. 13

    Energy-based learning for open-set classification in remote sensing imagery by Al Rahhal, Mohamad M., Bazi, Yakoub, Al-Dayil, Reham, Alwadei, Bashair M., Ammour, Nassim, Alajlan, Naif

    Published in International journal of remote sensing (18-08-2022)
    “…Scene classification in remote sensing imagery is generally addressed from a closed set-setting perspective where the training and testing domains share the…”
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    Journal Article
  14. 14

    Open-ended remote sensing visual question answering with transformers by Al Rahhal, Mohamad M., Bazi, Yakoub, Alsaleh, Sara O., Al-Razgan, Muna, Mekhalfi, Mohamed Lamine, Al Zuair, Mansour, Alajlan, Naif

    Published in International journal of remote sensing (17-09-2022)
    “…Visual question answering (VQA) has been attracting attention in remote sensing very recently. However, the proposed solutions remain rather limited in the…”
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    Journal Article
  15. 15

    Classification of AAMI heartbeat classes with an interactive ELM ensemble learning approach by Rahhal, Mohamad M. Al, Bazi, Yakoub, Alajlan, Naif, Malek, Salim, Al-Hichri, Haikel, Melgani, Farid, Zuair, Mansour A. Al

    Published in Biomedical signal processing and control (01-05-2015)
    “…Flowchart of the proposed interactive classification system. •This paper proposes an ensemble method for the classification of AAMI signals.•The extreme…”
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    Journal Article
  16. 16

    Learning to Align Arabic and English Text to Remote Sensing Images Using Transformers by Alsharif, Norah A., Bazi, Yakoub, Al Rahhal, Mohamad M.

    “…With the rapid increase of multimodal remote sensing (RS) data, cross-modal retrieval maximally benefits us to give us more flexibility in image retrieval…”
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    Conference Proceeding
  17. 17

    Remote Sensing Image Retrieval Using Multilingual Texts by Alsharif, Norah A., Bazi, Yakoub, Al Rahhal, Mohamad M.

    “…Recently, multimodal retrieval has attracted increasing attention in remote sensing community. in particular, text-image retrieval showed a promising research…”
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    Conference Proceeding
  18. 18

    Open-Ended Visual Question Answering Model For Remote Sensing Images by Alsaleh, Sara O., Bazi, Yakoub, Al Rahhal, Mohamad M., Al Zuair, Mansour

    “…In this paper, we present an open-ended visual question answering (VQA) model for remote sensing images, where the answers can be given in the form of short…”
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    Conference Proceeding
  19. 19

    Multi-Language Transformer For Improved Text to Remote Sensing Image Retrieval by Rahhal, Mohamad M. Al, Bazi, Yakoub, Alsharif, Norah A., Bashmal, Laila, Alajlan, Naif, Melgani, Farid

    “…Cross-Modal text-image retrieval in remote sensing (RS) provides a flexible retrieval experience for mining useful information from RS repositories. However,…”
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    Journal Article
  20. 20

    Language Integration in Remote Sensing: Tasks, datasets, and future directions by Bashmal, Laila, Bazi, Yakoub, Melgani, Farid, Al Rahhal, Mohamad M., Al Zuair, Mansour Abdulaziz

    “…The emerging field of vision-language models, which combines computer vision and natural language processing (NLP), has gained significant interest and…”
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    Journal Article