13 citations · 19 across the 14 of their papers we have counts for
14 papers
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…
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…
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…
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…
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…
Multi-Antenna Dual-Blind Deconvolution for Joint Radar-Communications via SoMAN Minimization
Roman Jacome, Edwin Vargas, Kumar Vijay Mishra +2
In joint radar-communications (JRC) applications such as secure military receivers, often the radar and communications signals are overlaid in the received signal. In these passive…
Coordinate-Based Seismic Interpolation in Irregular Land Survey: A Deep Internal Learning Approach
Paul Goyes, Edwin Vargas, Claudia Correa +4
Physical and budget constraints often result in irregular sampling, which complicates accurate subsurface imaging. Pre-processing approaches, such as missing trace or shot interpol…
Beurling-Selberg Extremization for Dual-Blind Deconvolution Recovery in Joint Radar-Communications
Jonathan Monsalve, Edwin Vargas, Kumar Vijay Mishra +2
Recent interest in integrated sensing and communications has led to the design of novel signal processing techniques to recover information from an overlaid radar-communications si…
Fast Disparity Estimation from a Single Compressed Light Field Measurement
Emmanuel Martinez, Edwin Vargas, Henry Arguello
The abundant spatial and angular information from light fields has allowed the development of multiple disparity estimation approaches. However, the acquisition of light fields req…
Deep Optical Coding Design in Computational Imaging
Henry Arguello, Jorge Bacca, Hasindu Kariyawasam +10
Computational optical imaging (COI) systems leverage optical coding elements (CE) in their setups to encode a high-dimensional scene in a single or multiple snapshots and decode it…
Dual-Blind Deconvolution for Overlaid Radar-Communications Systems
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome +2
The increasingly crowded spectrum has spurred the design of joint radar-communications systems that share hardware resources and efficiently use the radio frequency spectrum. We st…
Multi-dimensional dual-blind deconvolution approach toward joint radar-communications
Roman Jacome, Kumar Vijay Mishra, Edwin Vargas +2
We consider a joint multiple-antenna radar-communications system in a co-existence scenario. Contrary to conventional applications, wherein at least the radar waveform and communic…
Joint Radar-Communications Processing from a Dual-Blind Deconvolution Perspective
Edwin Vargas, Kumar Vijay Mishra, Roman Jacome +2
We consider a general spectral coexistence scenario, wherein the channels and transmit signals of both radar and communications systems are unknown at the receiver. In this \textit…
Time-Multiplexed Coded Aperture Imaging: Learned Coded Aperture and Pixel Exposures for Compressive Imaging Systems
Edwin Vargas, Julien N. P. Martel, Gordon Wetzstein +1
Compressive imaging using coded apertures (CA) is a powerful technique that can be used to recover depth, light fields, hyperspectral images and other quantities from a single snap…