Search Results - "Oludare, Victor"

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  1. 1

    TMO-Net: A Parameter-Free Tone Mapping Operator Using Generative Adversarial Network, and Performance Benchmarking on Large Scale HDR Dataset by Panetta, Karen, Kezebou, Landry, Oludare, Victor, Agaian, Sos, Xia, Zehua

    Published in IEEE access (2021)
    “…Currently published tone mapping operators (TMO) are often evaluated on a very limited test set of high dynamic range (HDR) images. Thus, the resulting…”
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    Journal Article
  2. 2

    An Individualized Machine Learning Approach for Human Body Weight Estimation Using Smart Shoe Insoles by Sanghavi, Foram, Jinadu, Obafemi, Oludare, Victor, Panetta, Karen, Kezebou, Landry, Roberts, Susan B

    Published in Sensors (Basel, Switzerland) (25-08-2023)
    “…Rapid significant weight fluctuations can indicate severe health conditions such as edema due to congestive heart failure or severe dehydration that could…”
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    Journal Article
  3. 3

    Artificial Intelligence for Text-Based Vehicle Search, Recognition, and Continuous Localization in Traffic Videos by Panetta, Karen, Kezebou, Landry, Oludare, Victor, Intriligator, James, Agaian, Sos

    Published in AI (Basel) (06-12-2021)
    “…The concept of searching and localizing vehicles from live traffic videos based on descriptive textual input has yet to be explored in the scholarly…”
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    Journal Article
  4. 4

    Comprehensive Underwater Object Tracking Benchmark Dataset and Underwater Image Enhancement With GAN by Panetta, Karen, Kezebou, Landry, Oludare, Victor, Agaian, Sos

    Published in IEEE journal of oceanic engineering (01-01-2022)
    “…Current state-of-the-art object tracking methods have largely benefited from the public availability of numerous benchmark datasets. However, the focus has…”
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    Journal Article
  5. 5

    Multimodal Data Enhancement and Augmentation Methodologies for Developing Robust Artificial Intelligence Systems by Oludare, Victor Osinimu

    Published 01-01-2022
    “…One of the many advantages of artificial intelligence (AI) is the rapid technological advancements that have considerably enabled researchers to solve complex…”
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    Dissertation
  6. 6

    Few-Shots Learning for Fine-Grained Vehicle Model Recognition by Kezebou, Landry, Oludare, Victor, Panetta, Karen, Agaian, Sos

    “…Recent vehicle recognition models have focused on using conventional Deep Neural Network approach to solve the problem. The most important limitation for such…”
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    Conference Proceeding
  7. 7

    Underwater Object Tracking Benchmark and Dataset by Kezebou, Landry, Oludare, Victor, Panetta, Karen, Agaian, Sos S

    “…While there has been tremendous advancement in object tracking for open air visual data, much less work has been done for underwater object tracking. This is…”
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    Conference Proceeding
  8. 8

    TMO-Net: A Parameter-Free Tone Mapping Operator Using Generative Adversarial Network, and Performance Benchmarking on Large Scale HDR Dataset by Panetta, Karen, Kezebou, Landry, Oludare, Victor, Agaian, Sos, Xia, Zehua

    Published in Access, IEEE (2021)
    “…Currently published tone mapping operators (TMO) are often evaluated on a very limited test set of high dynamic range (HDR) images. Thus, the resulting…”
    Get full text
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