no code implementations • 18 Dec 2023 • Mahmoud Ahmed, Omer Moussa, Ismail Shaheen, Mohamed Abdelfattah, Amr Abdalla, Marwan Eid, Hesham Eraqi, Mohamed Moustafa
We test this approach on two baseline models: SSAGAN and AttnGAN (with style blocks to enhance the fine-grained details of the images.)
no code implementations • 2 Mar 2023 • Mohamed Moustafa, Amr Elrasad, Joseph Lemley, Peter Corcoran
The data prepared is to include camera frames as well as sensor readings from an electrocardiograph sensor.
no code implementations • 4 Aug 2021 • Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed, Mariam Aboul-Ela, Hesham M. Eraqi, Mohamed Moustafa
The third method adopts late fusion by having two convectional input branches processing each of the dual-channel spectrograms and then the outputs are merged by the last layers.
no code implementations • 25 Sep 2020 • Mohamed Abdelkhalek, Heba Aguib, Mohamed Moustafa, Khalil Elkhodary
In this paper, we propose an enhanced 3D myocardial strain estimation procedure, which combines complementary displacement information from multiple orientations of a single imaging modality (untagged CMR SSFP images).
no code implementations • WS 2019 • Lucas Azevedo, Mohamed Moustafa
Defined as the intentional or unintentionalspread of false information (K et al., 2019)through context and/or content manipulation, fake news has become one of the most seriousproblems associated with online information(Waldrop, 2017).
no code implementations • 24 Mar 2017 • Hussein Adly, Mohamed Moustafa
Texture classification is a problem that has various applications such as remote sensing and forest species recognition.
1 code implementation • 15 Nov 2016 • Yehya Abouelnaga, Ola S. Ali, Hager Rady, Mohamed Moustafa
In this paper, we study the performance of different classifiers on the CIFAR-10 dataset, and build an ensemble of classifiers to reach a better performance.
1 code implementation • 27 Sep 2016 • Eman Ahmed, Mohamed Moustafa
Most existing automatic house price estimation systems rely only on some textual data like its neighborhood area and the number of rooms.
1 code implementation • 27 Sep 2016 • Hesham Eraqi, Youssef EmadEldin, Mohamed Moustafa
A single front-facing rangefinder sensor is the only input required by our method.
no code implementations • 20 Sep 2016 • Mai Tolba, Mohamed Moustafa
This is due to the vast features space and the exhaustive search nature of Adaboost.
no code implementations • 28 Nov 2015 • Mohamed Moustafa
Unfortunately, these methods require vast experience to design the classifier including one or more of the popular computer vision feature descriptors.