• 3D Hand Pose Estimation Via a Lightweight Deep Learning Model 

    Suggala, Prudhvi Sai (University of Missouri -- Kansas City, 2018)
    Deep Learning with depth cameras has enabled 3D hand pose estimation from RGBD images. Commercial solutions like Leap Motion and Intel RealSense™ use stereoscopic sensors or IR illumination-based methods to capture the ...
  • MDRED: Multi-Modal Multi-Task Distributed Recognition for Event Detection 

    Nandigam, Nageswara Rao (University of Missouri -- Kansas City, 2018)
    Understanding users’ context is essential in emerging mobile sensing applications, such as Metal Detector, Glint Finder, Facefirst. Over the last decade, Machine Learning (ML) techniques have evolved dramatically for ...
  • Multi-Modal Ocular Recognition in presence of occlusion in Mobile Devices 

    Mohammad, Ahmad Saeed (University of Missouri -- Kansas City, 2018)
    The existence eyeglasses in human faces cause real challenges for ocular, facial, and soft-based (such as eyebrows) biometric recognition due to glasses reflection, shadow, and frame occlusion. In this regard, two operations ...