65 citations · 76 across the 10 of their papers we have counts for
10 papers
Privacy-Preserving Deep Learning Using Deformable Operators for Secure Task Learning
Fabian Perez, Jhon Lopez, Henry Arguello
In the era of cloud computing and data-driven applications, it is crucial to protect sensitive information to maintain data privacy, ensuring truly reliable systems. As a result, p…
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…
Privacy-preserving Optics for Enhancing Protection in Face De-identification
Jhon Lopez, Carlos Hinojosa, Henry Arguello +1
The modern surge in camera usage alongside widespread computer vision technology applications poses significant privacy and security concerns. Current artificial intelligence (AI)…
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…
Mask-guided Data Augmentation for Multiparametric MRI Generation with a Rare Hepatocellular Carcinoma
Karen Sanchez, Carlos Hinojosa, Kevin Arias +4
Data augmentation is classically used to improve the overall performance of deep learning models. It is, however, challenging in the case of medical applications, and in particular…