Search Results - "Nezami, Omid Mohamad"

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  1. 1

    ShEMO: a large-scale validated database for Persian speech emotion detection by Nezami, Omid Mohamad, Lou, Paria Jamshid, Karami, Mansoureh

    Published in Language Resources and Evaluation (01-03-2019)
    “…This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 seminatural…”
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    Journal Article
  2. 2

    Image Captioning using Facial Expression and Attention by Mohamad Nezami, Omid, Dras, Mark, Wan, Stephen, Paris, Cecile

    “…Benefiting from advances in machine vision and natural language processing techniques, current image captioning systems are able to generate detailed visual…”
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    Journal Article
  3. 3

    Pick-Object-Attack: Type-specific adversarial attack for object detection by Mohamad Nezami, Omid, Chaturvedi, Akshay, Dras, Mark, Garain, Utpal

    Published in Computer vision and image understanding (01-10-2021)
    “…Many recent studies have shown that deep neural models are vulnerable to adversarial samples: images with imperceptible perturbations, for example, can fool…”
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    Journal Article
  4. 4

    Pick-Object-Attack: Type-Specific Adversarial Attack for Object Detection by Nezami, Omid Mohamad, Chaturvedi, Akshay, Dras, Mark, Garain, Utpal

    Published 22-08-2021
    “…Many recent studies have shown that deep neural models are vulnerable to adversarial samples: images with imperceptible perturbations, for example, can fool…”
    Get full text
    Journal Article
  5. 5

    Dynamic Swarm Dispersion in Particle Swarm Optimization for Mining Unsearched Area in Solution Space (DSDPSO) by Bahrampour, Anvar, Nezami, Omid Mohamad

    Published 01-07-2018
    “…Premature convergence in particle swarm optimization (PSO) algorithm usually leads to gaining local optimum and preventing from surveying those regions of…”
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    Journal Article
  6. 6

    Image Captioning using Facial Expression and Attention by Nezami, Omid Mohamad, Dras, Mark, Wan, Stephen, Paris, Cecile

    Published 08-08-2019
    “…Benefiting from advances in machine vision and natural language processing techniques, current image captioning systems are able to generate detailed visual…”
    Get full text
    Journal Article
  7. 7

    ShEMO -- A Large-Scale Validated Database for Persian Speech Emotion Detection by Nezami, Omid Mohamad, Lou, Paria Jamshid, Karami, Mansoureh

    Published 03-06-2019
    “…This paper introduces a large-scale, validated database for Persian called Sharif Emotional Speech Database (ShEMO). The database includes 3000 semi-natural…”
    Get full text
    Journal Article
  8. 8

    Senti-Attend: Image Captioning using Sentiment and Attention by Nezami, Omid Mohamad, Dras, Mark, Wan, Stephen, Paris, Cecile

    Published 24-11-2018
    “…There has been much recent work on image captioning models that describe the factual aspects of an image. Recently, some models have incorporated non-factual…”
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    Journal Article
  9. 9

    Face-Cap: Image Captioning using Facial Expression Analysis by Nezami, Omid Mohamad, Dras, Mark, Anderson, Peter, Hamey, Len

    Published 06-07-2018
    “…Image captioning is the process of generating a natural language description of an image. Most current image captioning models, however, do not take into…”
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    Journal Article
  10. 10

    Towards Generating Stylized Image Captions via Adversarial Training by Nezami, Omid Mohamad, Dras, Mark, Wan, Stephen, Paris, Cecile, Hamey, Len

    Published 08-08-2019
    “…While most image captioning aims to generate objective descriptions of images, the last few years have seen work on generating visually grounded image captions…”
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    Journal Article
  11. 11

    Automatic Recognition of Student Engagement using Deep Learning and Facial Expression by Nezami, Omid Mohamad, Dras, Mark, Hamey, Len, Richards, Deborah, Wan, Stephen, Paris, Cecile

    Published 07-08-2018
    “…Engagement is a key indicator of the quality of learning experience, and one that plays a major role in developing intelligent educational interfaces. Any such…”
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    Journal Article