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20142020
most citedBinGAN: Learning Compact Binary Descriptors with a Regularized GAN

54 citations · 81 across the 5 of their papers we have counts for

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6 papers · 1 filter

cs.CV2020

Detecting Deep-Fake Videos from Appearance and Behavior

Shruti Agarwal, Tarek El-Gaaly, Hany Farid +1

Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities. At the same time,…

cs.CV2018★ 54 cited

BinGAN: Learning Compact Binary Descriptors with a Regularized GAN

Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly +1

In this paper, we propose a novel regularization method for Generative Adversarial Networks, which allows the model to learn discriminative yet compact binary representations of im…

cs.CV2015★ 11 cited

Convolutional Models for Joint Object Categorization and Pose Estimation

Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry +1

In the task of Object Recognition, there exists a dichotomy between the categorization of objects and estimating object pose, where the former necessitates a view-invariant represe…

cs.CV2015★ 13 cited

Digging Deep into the layers of CNNs: In Search of How CNNs Achieve View Invariance

Amr Bakry, Mohamed Elhoseiny, Tarek El-Gaaly +1

This paper is focused on studying the view-manifold structure in the feature spaces implied by the different layers of Convolutional Neural Networks (CNN). There are several questi…

cs.CV2015★ 2 cited

Factorization of View-Object Manifolds for Joint Object Recognition and Pose Estimation

Haopeng Zhang, Tarek El-Gaaly, Ahmed Elgammal +1

Due to large variations in shape, appearance, and viewing conditions, object recognition is a key precursory challenge in the fields of object manipulation and robotic/AI visual re…

cs.CV2014★ 1 cited

Measuring Atmospheric Scattering from Digital Images of Urban Scenery using Temporal Polarization-Based Vision

Tarek El-Gaaly, Joshua Gluckman

Particulate Matter (PM) is a form of air pollution that visually degrades urban scenery and is hazardous to human health and the environment. Current monitoring devices are limited…