3 papers
cs.CV2026
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…
cs.CV2026
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…
cs.CV2025
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…