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  • Phd Dissertation Defence - Haidong Zhu

    Thu, Apr 25, 2024 @ 12:00 PM - 02:00 PM

    Thomas Lord Department of Computer Science

    University Calendar

    Title: Shape-Assisted Multimodal Person Re-Identification
    Committee Members: Ram Nevatia (Chair), Ulrich Neumann, Antonio Ortega
    Date & Time: Thursday, April 25th, 12:00pm - 2:00pm
    Abstract: Recognizing an individual's identity across non-overlapping images or videos, known as person re-identification, is a fundamental yet challenging task for biometric analysis. This task involves extracting and distinguishing unique features such as appearance, gait, and body shape to accurately identify individuals. Different from other representations, 3-D shape complements the body information with external human body shape prior and enhances the appearance captured in the 2-D images. Although 3-D body shape offers invaluable external shape-related information that 2-D images lack, existing body shape representations often fall short in accuracy or demand extensive image data, which is unavailable for re-identification tasks. We explore various biometric representations for comprehensive whole-body person re-identification, with a particular emphasis on leveraging 3-D body shape. We focus on enhancing the detail and few-shot learning capabilities of 3-D shape representations through the application of implicit functions and generalizable Neural Radiance Fields (NeRF). Moreover, we propose the use of 3-D body shape for alignment and supervision during training, aiming to advance the accuracy and efficiency of person re-identification techniques.

    Location: Hughes Aircraft Electrical Engineering Center (EEB) - 110

    Audiences: Everyone Is Invited

    Contact: Haidong Zhu

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