13 citations · 14 across the 6 of their papers we have counts for
6 papers
GCNO: Gramian Chebyshev Neural Operator for Physics-Based Compression of Wireless Channels
Rafid Umayer Murshed, Shahab Hamidi-Rad, Elahe Soltanaghai +1
Large antenna arrays allow wireless systems to serve more users and achieve higher data rates, but they also make channel feedback expensive: the receiving device must repeatedly r…
Physics-Unrolled Neural Operator for Wireless Field Modeling
Rafid Umayer Murshed, Saif Ur Rahman, Mingyue Tang +1
Radio maps are essential for wireless decision-making tasks such as access-point placement, coverage planning, and localization, but their fine spatial details are governed by comp…
Joint Soil and Above-Ground Biomass Characterization Using Radars
Luke Jacobs, Mohamad Alipour, Adam Watts +1
Soil moisture sensing through biomass or vegetation canopy has challenged researchers, even those who use SAR sensors with penetration capabilities. This is mainly due to the impos…
Dual-Frequency Radar Wave-Inversion for Sub-Surface Material Characterization
Ishfaq Aziz, Elahe Soltanaghai, Adam Watts +1
Moisture estimation of sub-surface soil and the overlaying biomass layer is pivotal in precision agriculture and wildfire risk assessment. However, the characterization of layered…
FocusFlow: 3D Gaze-Depth Interaction in Virtual Reality Leveraging Active Visual Depth Manipulation
Chenyang Zhang, Tiansu Chen, Eric Shaffer +1
Gaze interaction presents a promising avenue in Virtual Reality (VR) due to its intuitive and efficient user experience. Yet, the depth control inherent in our visual system remain…
FocusFlow: Leveraging Focal Depth for Gaze Interaction in Virtual Reality
Chenyang Zhang, Tiansu Chen, Rohan Nedungadi +2
Current gaze input methods for VR headsets predominantly utilize the gaze ray as a pointing cursor, often neglecting depth information in it. This study introduces FocusFlow, a nov…