728 citations · 1.1k across the 29 of their papers we have counts for
10 papers · 1 filter
EdgeLDR: Quaternion Low-Displacement Rank Neural Networks for Edge-Efficient Deep Learning
Vladimir Frants, Sos Agaian, Karen Panetta
Deploying deep neural networks on edge devices is often limited by the memory traffic and compute cost of dense linear operators. While quaternion neural networks improve parameter…
ToTMNet: FFT-Accelerated Toeplitz Temporal Mixing Network for Lightweight Remote Photoplethysmography
Vladimir Frants, Sos Agaian, Karen Panetta
Remote photoplethysmography (rPPG) estimates a blood volume pulse (BVP) waveform from facial videos captured by commodity cameras. Although recent deep models improve robustness co…
CMAWRNet: Multiple Adverse Weather Removal via a Unified Quaternion Neural Architecture
Vladimir Frants, Sos Agaian, Karen Panetta +1
Images used in real-world applications such as image or video retrieval, outdoor surveillance, and autonomous driving suffer from poor weather conditions. When designing robust com…
FactorizePhys: Matrix Factorization for Multidimensional Attention in Remote Physiological Sensing
Jitesh Joshi, Sos S. Agaian, Youngjun Cho
Remote photoplethysmography (rPPG) enables non-invasive extraction of blood volume pulse signals through imaging, transforming spatial-temporal data into time series signals. Advan…
NDELS: A Novel Approach for Nighttime Dehazing, Low-Light Enhancement, and Light Suppression
Silvano A. Bernabel, Sos S. Agaian
This paper tackles the intricate challenge of improving the quality of nighttime images under hazy and low-light conditions. Overcoming issues including nonuniform illumination glo…
Unveiling the Invisible: Enhanced Detection and Analysis of Deteriorated Areas in Solar PV Modules Using Unsupervised Sensing Algorithms and 3D Augmented Reality
Adel Oulefki, Yassine Himeur, Thaweesak Trongtiraku +9
Solar Photovoltaic (PV) is increasingly being used to address the global concern of energy security. However, hot spot and snail trails in PV modules caused mostly by crakes reduce…