Raied Aljadaany — accepted AI-conference papers

2023

Cov Loss: Covariance-Based Loss for Deep Face Recognition

Ibrahim Alkanhal, Abdullah Almansour, Lamia Alsalloom, Raied Aljadaany, Marios Savvides

ICASSP 2023accepted

Recently, deep neural networks (DNNs) have emerged as state-of-the-art approaches for various computer vision areas. In this paper, we propose an optimized approach for large-scale face recognition. Our work is motivated through the recent development of deep convolutional neural networks (CNNs) tha…

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2019

Douglas-Rachford Networks: Learning Both the Image Prior and Data Fidelity Terms for Blind Image Deconvolution

Raied Aljadaany, Dipan K. Pal, Marios Savvides

CVPR 2019poster

Blind deconvolution problems are heavily ill-posed where the specific blurring kernel is not known. Recovering these images typically requires estimates of the kernel. In this paper, we present a method called Dr-Net, which does not require any such estimate and is further able to invert the effects…

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