4 citations · 4 across the 5 of their papers we have counts for
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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…
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)…
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…