70 citations · 189 across the 5 of their papers we have counts for
5 papers
Efficient CNN-based Super Resolution Algorithms for mmWave Mobile Radar Imaging
Christos Vasileiou, Josiah W. Smith, Shiva Thiagarajan +3
In this paper, we introduce an innovative super resolution approach to emerging modes of near-field synthetic aperture radar (SAR) imaging. Recent research extends convolutional ne…
Efficient 3-D Near-Field MIMO-SAR Imaging for Irregular Scanning Geometries
Josiah Smith, Murat Torlak
In this article, we introduce a novel algorithm for efficient near-field synthetic aperture radar (SAR) imaging for irregular scanning geometries. With the emergence of fifth-gener…
Improved Static Hand Gesture Classification on Deep Convolutional Neural Networks using Novel Sterile Training Technique
Josiah Smith, Shiva Thiagarajan, Richard Willis +2
In this paper, we investigate novel data collection and training techniques towards improving classification accuracy of non-moving (static) hand gestures using a convolutional neu…
Deep Learning-Based Multiband Signal Fusion for 3-D SAR Super-Resolution
Josiah Smith, Murat Torlak
Three-dimensional (3-D) synthetic aperture radar (SAR) is widely used in many security and industrial applications requiring high-resolution imaging of concealed or occluded object…
An FCNN-Based Super-Resolution mmWave Radar Framework for Contactless Musical Instrument Interface
Josiah W. Smith, Orges Furxhi, Murat Torlak
In this article, we propose a framework for contactless human-computer interaction (HCI) using novel tracking techniques based on deep learning-based super-resolution and tracking…