Search Results for author: Amy R. Reibman

Found 6 papers, 0 papers with code

Illumination Variation Correction Using Image Synthesis For Unsupervised Domain Adaptive Person Re-Identification

no code implementations23 Jan 2023 Jiaqi Guo, Amy R. Reibman, Edward J. Delp

Unsupervised domain adaptive (UDA) person re-identification (re-ID) aims to learn identity information from labeled images in source domains and apply it to unlabeled images in a target domain.

Domain Adaptive Person Re-Identification Image Generation +1

FaR-GAN for One-Shot Face Reenactment

no code implementations13 May 2020 Hanxiang Hao, Sriram Baireddy, Amy R. Reibman, Edward J. Delp

In this paper, we present a one-shot face reenactment model, FaR-GAN, that takes only one face image of any given source identity and a target expression as input, and then produces a face image of the same source identity but with the target expression.

Face Reenactment

A Utility-Preserving GAN for Face Obscuration

no code implementations27 Jun 2019 Hanxiang Hao, David Güera, Amy R. Reibman, Edward J. Delp

From TV news to Google StreetView, face obscuration has been used for privacy protection.

Robustness Analysis of Face Obscuration

no code implementations13 May 2019 Hanxiang Hao, David Güera, János Horváth, Amy R. Reibman, Edward J. Delp

Face obscuration is needed by law enforcement and mass media outlets to guarantee privacy.

Face Identification

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