no code implementations • 29 Apr 2020 • Shruti Agarwal, Tarek El-Gaaly, Hany Farid, Ser-Nam Lim
Synthetically-generated audios and videos -- so-called deep fakes -- continue to capture the imagination of the computer-graphics and computer-vision communities.
1 code implementation • 17 Apr 2019 • Daniel Koguciuk, Łukasz Chechliński, Tarek El-Gaaly
In this study, we present an analysis of model-based ensemble learning for 3D point-cloud object classification and detection.
1 code implementation • NeurIPS 2018 • Maciej Zieba, Piotr Semberecki, Tarek El-Gaaly, Tomasz Trzcinski
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 image patches (image descriptors).
no code implementations • 16 Nov 2015 • Mohamed Elhoseiny, Tarek El-Gaaly, Amr Bakry, Ahmed Elgammal
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 representation, while the latter requires a representation capable of capturing pose information over different categories of objects.
no code implementations • 9 Aug 2015 • Amr Bakry, Mohamed Elhoseiny, Tarek El-Gaaly, Ahmed Elgammal
How does fine-tuning of a pre-trained CNN on a multi-view dataset affect the representation at each layer of the network?
no code implementations • 23 Mar 2015 • Haopeng Zhang, Tarek El-Gaaly, Ahmed Elgammal, Zhiguo Jiang
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 reasoning in general.
no code implementations • 14 Jul 2014 • Tarek El-Gaaly, Joshua Gluckman
In doing so, we also present a method of recovering an accurate depthmap of the scene and recovering the scene without the visual effects of haze.