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Mohamed N. Moustafa 0001
Person information
- affiliation: Amazon, Seattle, WA, USA
- affiliation (former): The American University in Cairo, Egypt
- affiliation (former): Ain Shams University, Cairo, Egypt
- affiliation: City University of New York, New York, USA
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2020 – today
- 2024
- [c25]Vaibhav Kango, Hesham M. Eraqi, Mohamed N. Moustafa:
High Precision Map Conflation of Fleet Sourced Traffic Signs. IGARSS 2024: 4648 - 2023
- [c24]Yang He, Emre Eftelioglu, Mohammed N. Moustafa, Amber Roy Chowdhury:
A Highly Efficient and Effective Attribute Learning Framework for Road Graph from Aerial Imagery and GPS. BigSpatial@SIGSPATIAL 2023: 32-41 - [i11]Mahmoud Ahmed, Omer Moussa, Ismail Shaheen, Mohamed Abdelfattah, Amr Abdalla, Marwan Eid, Hesham M. Eraqi, Mohamed N. Moustafa:
The Right Losses for the Right Gains: Improving the Semantic Consistency of Deep Text-to-Image Generation with Distribution-Sensitive Losses. CoRR abs/2312.10854 (2023) - 2022
- [j9]Hesham M. Eraqi, Mohamed N. Moustafa, Jens Honer:
Dynamic Conditional Imitation Learning for Autonomous Driving. IEEE Trans. Intell. Transp. Syst. 23(12): 22988-23001 (2022) - [c23]Puyang Ma, Ravi Garg, Mohammed N. Moustafa:
BinoML: supervised ranking for automatic building labeling. GeoIndstry@SIGSPATIAL 2022: 1:1-1:8 - [i10]Hesham M. Eraqi, Mohamed N. Moustafa, Jens Honer:
Dynamic Conditional Imitation Learning for Autonomous Driving. CoRR abs/2211.11579 (2022) - 2021
- [c22]Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed, Mariam Aboul-Ela, Hesham M. Eraqi, Mohamed N. Moustafa:
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning. IJCCI 2021: 310-317 - [c21]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 - [i9]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) - [i8]Ahmed Ibrahim, Ayman El-Refai, Sara Ahmed, Mariam Aboul-Ela, Hesham M. Eraqi, Mohamed N. Moustafa:
Pervasive Hand Gesture Recognition for Smartphones using Non-audible Sound and Deep Learning. CoRR abs/2108.02148 (2021) - [i7]Amr S. Mohamed, Ali AbdelKader, Mohamed G. Anany, Omar El-Behady, Muhammad Faisal, Asser Hangal, Hesham M. Eraqi, Mohamed N. Moustafa:
An Evaluation of RGB and LiDAR Fusion for Semantic Segmentation. CoRR abs/2108.07661 (2021) - 2020
- [j8]Tarek Khorshed, Mohamed N. Moustafa, Ahmed A. Rafea:
Deep Learning for Multi-Tissue Cancer Classification of Gene Expressions (GeneXNet). IEEE Access 8: 90615-90629 (2020) - [j7]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) - [c20]Tarek Khorshed, Mohamed N. Moustafa, Ahmed A. Rafea:
Multi-Tissue Cancer Classification of Gene Expressions using Deep Learning. BigDataService 2020: 128-135 - [c19]Tarek Khorshed, Mohamed N. Moustafa, Ahmed A. Rafea:
Learning & Visualizing Genomic Signatures of Cancer Tumors using Deep Neural Networks. IJCNN 2020: 1-8 - [c18]Hesham M. Eraqi, Mohamed N. Moustafa, Jens Honer:
Efficient Occupancy Grid Mapping and Camera-LiDAR Fusion for Conditional Imitation Learning Driving. ITSC 2020: 1-7 - [i6]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
- 2019
- [c17]Youssra Elqattan, Mohamed N. Moustafa, Mohamed H. El-Shafey:
System for Detecting and Reporting Cell Phone Distracted Drivers. ISPA 2019: 215-221 - [i5]Hesham M. Eraqi, Yehya Abouelnaga, Mohamed H. Saad, Mohamed N. Moustafa:
Driver Distraction Identification with an Ensemble of Convolutional Neural Networks. CoRR abs/1901.09097 (2019) - 2017
- [c16]Shaimaa M. Hegazy, Mohamed N. Moustafa:
Classifying aggressive drivers for better traffic signal control. ITSC 2017: 702-707 - [i4]Yehya Abouelnaga, Hesham M. Eraqi, Mohamed N. Moustafa:
Real-time Distracted Driver Posture Classification. CoRR abs/1706.09498 (2017) - [i3]Hesham M. Eraqi, Mohamed N. Moustafa, Jens Honer:
End-to-End Deep Learning for Steering Autonomous Vehicles Considering Temporal Dependencies. CoRR abs/1710.03804 (2017) - 2016
- [c15]Hesham M. Eraqi, Youssef Emad Eldin, Mohamed N. Moustafa:
Reactive Collision Avoidance using Evolutionary Neural Networks. IJCCI (ECTA) 2016: 251-257 - [i2]Hesham M. Eraqi, Youssef Emad Eldin, Mohamed N. Moustafa:
Reactive Collision Avoidance using Evolutionary Neural Networks. CoRR abs/1609.08414 (2016) - 2015
- [i1]Mohamed N. Moustafa:
Applying deep learning to classify pornographic images and videos. CoRR abs/1511.08899 (2015) - 2013
- [c14]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
Landmarks-SIFT Face Representation for Gender Classification. ICIAP (2) 2013: 329-338 - [c13]Aya Salama Abdelhady, Mohamed N. Moustafa:
Unattended vehicle detection for automatic traffic light control. ICMV 2013: 90670W - [c12]Safaa M. Bedawi, Mohamed N. Moustafa, Mohamed S. Kamel:
Urban land-cover classification from High Resolution remote sensing imagery. IGARSS 2013: 3144-3147 - [c11]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
- [j6]Alaa Leithy, Mohamed N. Moustafa, Ayman Wahba:
Multi-Cascade of Complementary Features for Fast and Accurate Pedestrian Detection. IPSJ Trans. Comput. Vis. Appl. 4: 30-39 (2012) - [c10]Yomna Safaa El-Din, Mohamed N. Moustafa, Hani Mahdi:
A Mixture of Two Gender Classification Experts. SIBGRAPI 2012: 245-251 - 2010
- [c9]Alaa Leithy, Mohamed N. Moustafa, Ayman Wahba:
Fast and Accurate Pedestrian Detection Using a Cascade of Multiple Features. ACCV Workshops (1) 2010: 153-163 - [c8]Mohamed N. Moustafa, Hani Mahdi:
A simple evaluation of face detection algorithms using unpublished static images. ISDA 2010: 1-5
2000 – 2009
- 2009
- [j5]Hani Hagras, Rabie A. Ramadan, Nayer M. Wanas, Moustafa Nawito, Nahel Mohamed, Sherief Aly, Mohammed N. Moustafa:
Egypt Chapter Report [Family Corner]. IEEE Comput. Intell. Mag. 4(4): 13-16 (2009) - [c7]Taraggy M. Ghanem, Mohammed N. Moustafa, Hussein I. Shahein:
Gabor wavelet based automatic coin classsification. ICIP 2009: 305-308 - [c6]Mostafa I. Khalil, Mohammed N. Moustafa, Hazem M. Abbas:
Enhanced DTW based on-line signature verification. ICIP 2009: 2713-2716 - 2005
- [j4]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
GAME based dynamic resource scheduling in QoS aware radio access networks. Soft Comput. 9(2): 101-115 (2005) - 2004
- [j3]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
Efficient Radio Resource Control in Wireless Networks. IEEE Trans. Wirel. Commun. 3(6): 2385-2395 (2004) - 2002
- [j2]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh, Mohsen Guizani:
QoS-enabled broadband mobile access to wireline networks. IEEE Commun. Mag. 40(4): 50-56 (2002) - [c5]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
Efficient radio resource control for Manhattan street environments. ICC 2002: 3377-3381 - 2001
- [j1]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
Wireless resource management using genetic algorithm for mobiles equilibrium. Comput. Networks 37(5): 631-643 (2001) - [c4]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
Wireless Resource Management Using Genetic Algorithm for Mobiles Equilibrium. ISCC 2001: 586-591 - [c3]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
GAME Based QoS Provisioning in Multimedia Wideband CDMA Networks. IWQoS 2001: 235-250 - [c2]Mohamed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
Genetic Algorithm for Mobiles Equilibrium Applied to Video Traffic. QoS-IP 2001: 381-390 - [c1]Mohammed N. Moustafa, Ibrahim W. Habib, Mahmoud Naghshineh:
Efficient resource scheduling in microcellular CDMA systems. VTC Fall 2001: 1005-1009
Coauthor Index
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