Nasser Nasrabadi — accepted AI-conference papers

2024

ARoFace: Alignment Robustness to Improve Low-quality Face Recognition

Mohammad Saeed Ebrahimi Saadabadi*, Sahar Rahimi Malakshan, Ali Dabouei, Nasser Nasrabadi

ECCV 2024poster

"Aiming to enhance Face Recognition (FR) on Low-Quality (LQ) inputs, recent studies suggest incorporating synthetic LQ samples into training. Although promising, the quality factors that are considered in these works are general rather than FR-specific, , atmospheric turbulence, resolution, . Motiva…

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2018

Unsupervised Image-to-Image Translation Using Domain-Specific Variational Information Bound

Hadi Kazemi, Sobhan Soleymani, Fariborz Taherkhani, Seyed Iranmanesh, Nasser Nasrabadi

NeurIPS 2018poster

Unsupervised image-to-image translation is a class of computer vision problems which aims at modeling conditional distribution of images in the target domain, given a set of unpaired images in the source and target domains. An image in the source domain might have multiple representations in the tar…

Cited by 53 Source ↗PDF ↗Scholar ↗