activity
20232026
collaborators

7 papers

eess.SP2026

Hypercomplex Phase Retrieval

Kumar Vijay Mishra, Henry Arguello, Brian M. Sadler

Hypercomplex signal processing (HSP) offers powerful tools for analyzing and processing multidimensional signals by explicitly exploiting inter-dimensional correlations through Cli…

cs.CR2025

NOWA: Null-space Optical Watermark for Invisible Capture Fingerprinting and Tamper Localization

Edwin Vargas, Jhon Lopez, Henry Arguello +1

Ensuring the authenticity and ownership of digital images is increasingly challenging as modern editing tools enable highly realistic forgeries. Existing image protection systems m…

eess.IV2025

Structure-Preserving Medical Image Generation from a Latent Graph Representation

Kevin Arias, Edwin Vargas, Kumar Vijay Mishra +2

Supervised learning techniques have proven their efficacy in many applications with abundant data. However, applying these methods to medical imaging is challenging due to the scar…

eess.IV2025

Single Snapshot Distillation for Phase Coded Mask Design in Phase Retrieval

Karen Fonseca, Leon Suarez-Rodriguez, Andres Jerez +2

Phase retrieval (PR) reconstructs phase information from magnitude measurements, known as coded diffraction patterns (CDPs), whose quality depends on the number of snapshots captur…

cs.CV2024

BiPer: Binary Neural Networks using a Periodic Function

Edwin Vargas, Claudia Correa, Carlos Hinojosa +1

Quantized neural networks employ reduced precision representations for both weights and activations. This quantization process significantly reduces the memory requirements and com…

cs.IT2023

Factor Graph Processing for Dual-Blind Deconvolution at ISAC Receiver

Roman Jacome, Edwin Vargas, Kumar Vijay Mishra +2

Integrated sensing and communications (ISAC) systems have gained significant interest because of their ability to jointly and efficiently access, utilize, and manage the scarce ele…

cs.CV2023

Depth Estimation from a Single Optical Encoded Image using a Learned Colored-Coded Aperture

Jhon Lopez, Edwin Vargas, Henry Arguello

Depth estimation from a single image of a conventional camera is a challenging task since depth cues are lost during the acquisition process. State-of-the-art approaches improve th…