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ORCIDYomna Safaa El-Din
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2020 – today
- 2021
[c5]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection. IMPROVE 2021: 36-45- [i2]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Adversarial Unsupervised Domain Adaptation Guided with Deep Clustering for Face Presentation Attack Detection. CoRR abs/2102.06864 (2021) - 2020
- [j1]Yomna Safaa El-Din
, Mohamed N. Moustafa, Hani Mahdi:
Deep convolutional neural networks for face and iris presentation attack detection: survey and case study. IET Biom. 9(5): 179-193 (2020) - [c4]Yomna Safaa El-Din, Hani Mahdi:
On the effectiveness of adversarial unsupervised domain adaptation for iris presentation attack detection in mobile devices. ICMV 2020: 116050W - [i1]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Deep convolutional neural networks for face and iris presentation attack detection: Survey and case study. CoRR abs/2004.12040 (2020)
2010 – 2019
- 2013
- [c3]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Landmarks-SIFT Face Representation for Gender Classification. ICIAP (2) 2013: 329-338 - [c2]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Gender Classification Using Mixture of Experts from Low Resolution Facial Images. MCS 2013: 49-60 - 2012
- [c1]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
A Mixture of Two Gender Classification Experts. SIBGRAPI 2012: 245-251
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