7 citations · 15 across the 9 of their papers we have counts for
14 papers
Eulerian Phase-based Motion Magnification for High-Fidelity Vital Sign Estimation with Radar in Clinical Settings
Md Farhan Tasnim Oshim, Toral Surti, Stephanie Carreiro +3
Efficient and accurate detection of subtle motion generated from small objects in noisy environments, as needed for vital sign monitoring, is challenging, but can be substantially…
Towards Live 3D Reconstruction from Wearable Video: An Evaluation of V-SLAM, NeRF, and Videogrammetry Techniques
David Ramirez, Suren Jayasuriya, Andreas Spanias
Mixed reality (MR) is a key technology which promises to change the future of warfare. An MR hybrid of physical outdoor environments and virtual military training will enable engag…
Adaptive Subsampling for ROI-based Visual Tracking: Algorithms and FPGA Implementation
Odrika Iqbal, Victor Isaac Torres Muro, Sameeksha Katoch +2
There is tremendous scope for improving the energy efficiency of embedded vision systems by incorporating programmable region-of-interest (ROI) readout in the image sensor design.…
Dynamic CT Reconstruction from Limited Views with Implicit Neural Representations and Parametric Motion Fields
Albert W. Reed, Hyojin Kim, Rushil Anirudh +4
Reconstructing dynamic, time-varying scenes with computed tomography (4D-CT) is a challenging and ill-posed problem common to industrial and medical settings. Existing 4D-CT recons…
Restoring degraded speech via a modified diffusion model
Jianwei Zhang, Suren Jayasuriya, Visar Berisha
There are many deterministic mathematical operations (e.g. compression, clipping, downsampling) that degrade speech quality considerably. In this paper we introduce a neural networ…
Differentiable Programming for Hyperspectral Unmixing using a Physics-based Dispersion Model
John Janiczek, Parth Thaker, Gautam Dasarathy +3
Hyperspectral unmixing is an important remote sensing task with applications including material identification and analysis. Characteristic spectral features make many pure materia…