70 citations · 220 across the 9 of their papers we have counts for
5 papers · 1 filter
Cutting-Edge Techniques for Depth Map Super-Resolution
Ryan Peterson, Josiah Smith
To overcome hardware limitations in commercially available depth sensors which result in low-resolution depth maps, depth map super-resolution (DMSR) is a practical and valuable co…
A Vision Transformer Approach for Efficient Near-Field Irregular SAR Super-Resolution
Josiah Smith, Yusef Alimam, Geetika Vedula +1
In this paper, we develop a novel super-resolution algorithm for near-field synthetic-aperture radar (SAR) under irregular scanning geometries. As fifth-generation (5G) millimeter-…
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…
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…