activity
20022026
most citedShannon Entropy based Randomness Measurement and Test for Image Encryption

728 citations · 1.1k across the 29 of their papers we have counts for

collaborators

29 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.CR2025

Training-Free Color-Aware Adversarial Diffusion Sanitization for Diffusion Stegomalware Defense at Security Gateways

Vladimir Frants, Sos Agaian

The rapid expansion of generative AI has normalized large-scale synthetic media creation, enabling new forms of covert communication. Recent generative steganography methods, parti…

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…

cs.LG2025

Quaternion-Hadamard Network: A Novel Defense Against Adversarial Attacks with a New Dataset

Vladimir Frants, Sos Agaian

Adverse-weather image restoration (e.g., rain, snow, haze) models remain highly vulnerable to gradient-based white-box adversarial attacks, wherein minimal loss-aligned perturbatio…

cs.CV2024★ 4 cited

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…