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Mohamed S. Shehata
Mohamed Sami Shehata
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2020 – today
- 2024
- [j32]Mohamad Khajezade, Fatemeh H. Fard, Mohamed S. Shehata:
Evaluating few-shot and contrastive learning methods for code clone detection. Empir. Softw. Eng. 29(6): 163 (2024) - [j31]Reece Walsh, Islam I. Osman, Omar Abdelaziz
, Mohamed S. Shehata:
Fully Self-Supervised Out-of-Domain Few-Shot Learning with Masked Autoencoders. J. Imaging 10(1): 23 (2024) - [c39]Mohamad Khajezade
Investigating the Efficacy of Large Language Models for Code Clone Detection. ICPC 2024: 161-165 - [i16]Mohamad Khajezade, Jie JW Wu, Fatemeh Hendijani Fard, Gema Rodríguez-Pérez, Mohamed Sami Shehata:
Investigating the Efficacy of Large Language Models for Code Clone Detection. CoRR abs/2401.13802 (2024) - [i15]Omar Abdelaziz, Mohamed S. Shehata, Mohamed Mohamed:
Beyond Traditional Single Object Tracking: A Survey. CoRR abs/2405.10439 (2024) - [i14]Omar Abdelaziz, Mohamed Sami Shehata:
A Novel Bounding Box Regression Method for Single Object Tracking. CoRR abs/2405.10444 (2024) - [i13]Islam I. Osman, Mohamed S. Shehata:
Lifelong Learning Using a Dynamically Growing Tree of Sub-networks for Domain Generalization in Video Object Segmentation. CoRR abs/2405.19525 (2024) - [i12]Ahmed Radwan, Islam I. Osman, Mohamed S. Shehata:
Universal Medical Imaging Model for Domain Generalization with Data Privacy. CoRR abs/2407.14719 (2024) - [i11]Anubhav Gupta, Islam I. Osman, Mohamed S. Shehata, W. John Braun:
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks. CoRR abs/2407.14784 (2024) - [i10]Ahmed Radwan, Mohamed S. Shehata:
FedPartWhole: Federated domain generalization via consistent part-whole hierarchies. CoRR abs/2407.14792 (2024) - 2023
- [j30]Mohamed H. Abdelpakey
Nonoverlapping Feature Projection Convolutional Neural Network With Differentiable Loss Function. IEEE Trans. Artif. Intell. 4(4): 933-945 (2023) - [j29]Islam I. Osman
Few-Shot Learning Network for Out-of-Distribution Image Classification. IEEE Trans. Artif. Intell. 4(6): 1579-1591 (2023) - [j28]Reece Walsh
Masked Embedding Modeling With Rapid Domain Adjustment for Few-Shot Image Classification. IEEE Trans. Image Process. 32: 4907-4920 (2023) - [c38]Ahmed Radwan, Mohamed S. Shehata:
Distilling Part-whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic Segmentation Framework. ICCV (Workshops) 2023: 238-246 - [c37]Reece Walsh, Mohamed S. Shehata:
Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning. ISVC (2) 2023: 177-187 - [c36]Islam I. Osman
Domain Generalization for Foreground Segmentation Using Federated Learning. ISVC (1) 2023: 251-263 - 2022
- [j27]Marouane Tliba, Mohamed Amine Kerkouri
SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction. IEEE Access 10: 20701-20713 (2022) - [j26]Bashir Ghariba, Mohamed S. Shehata, Peter F. McGuire:
Salient object detection using semantic segmentation technique. Int. J. Comput. Vis. Robotics 12(1): 17-38 (2022) - [j25]Mohamed H. Abdelpakey, Mohamed S. Shehata
NullSpaceRDAR: Regularized discriminative adaptive nullspace for object tracking. Image Vis. Comput. 127: 104550 (2022) - [c35]Islam I. Osman, Mohamed S. Shehata
Self-supervised Learning for Foreground Segmentation with a Few Amount of Labeled Images Using Transformers. AISI 2022: 14-25 - [c34]Islam I. Osman, Mohamed S. Shehata
Few-Shot Learning Network for Moving Object Detection Using Exemplar-Based Attention Map. ICIP 2022: 1056-1060 - [i9]Mohamad Khajezade, Fatemeh Hendijani Fard, Mohamed S. Shehata:
Evaluating few shot and Contrastive learning Methods for Code Clone Detection. CoRR abs/2204.07501 (2022) - 2021
- [j24]Islam I. Osman, Agwad ElTantawy, Mohamed S. Shehata
Task-based parameter isolation for foreground segmentation without catastrophic forgetting using multi-scale region and edges fusion network. Image Vis. Comput. 113: 104248 (2021) - [j23]Sherif Elbishlawi, Mohamed H. Abdelpakey, Mohamed S. Shehata
CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification Networks. J. Imaging 7(5): 81 (2021) - [c33]Anthony Boyko, Mohamed H. Abdelpakey, Mohamed S. Shehata
GroupNet: Detecting the Social Distancing Violation using Object Tracking in Crowdscene. CCECE 2021: 1-5 - [c32]Mohamad Khajezade, Milad Ramezankhani, Fatemeh Hendijani Fard
Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study. CCECE 2021: 1-7 - [c31]Islam I. Osman, Mohamed H. Abdelpakey, Mohamed S. Shehata
TransBlast: Self-Supervised Learning Using Augmented Subspace with Transformer for Background/Foreground Separation. ICCVW 2021: 215-224 - [c30]Matej Kristan, Jirí Matas
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c29]Sherif Elbishlawi, Mohamed H. Abdelpakey, Mohamed S. Shehata
SocialNet: Detecting Social Distancing Violations in Crowd Scene on IoT devices. WF-IoT 2021: 801-806 - [c28]Hans Fuhrmann, Anthony Boyko, Mohamed H. Abdelpakey, Mohamed S. Shehata
DETECTren: Vehicle Object Detection Using Self-Supervised Learning based on Light-Weight Network for Low-Power Devices. WF-IoT 2021: 807-811 - [i8]Reece Walsh, Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed:
Automated Human Cell Classification in Sparse Datasets using Few-Shot Learning. CoRR abs/2107.13093 (2021) - 2020
- [j22]Sherif Elbishlawi
Deep Learning-Based Crowd Scene Analysis Survey. J. Imaging 6(9): 95 (2020) - [j21]Bashir Ghariba, Mohamed S. Shehata
A novel fully convolutional network for visual saliency prediction. PeerJ Comput. Sci. 6: e280 (2020) - [j20]Agwad ElTantawy
Local null space pursuit for real-time moving object detection in aerial surveillance. Signal Image Video Process. 14(1): 87-95 (2020) - [j19]Mohamed H. Abdelpakey, Mohamed S. Shehata
DP-Siam: Dynamic Policy Siamese Network for Robust Object Tracking. IEEE Trans. Image Process. 29: 1479-1492 (2020) - [j18]Hafez Seliem
Accurate Probability Distribution Calculation for Drone-Based Highway-VANETs. IEEE Trans. Veh. Technol. 69(1): 1127-1130 (2020) - [c27]Bashir Ghariba, Mohamed S. Shehata
Performance Evaluation of Pre-Trained CNN Models for Visual Saliency Prediction. CCECE 2020: 1-4 - [c26]Islam I. Osman, Mohamed S. Shehata
MODSiam: Moving Object Detection using Siamese Networks. CCECE 2020: 1-6 - [i7]Mohamed H. Abdelpakey, Mohamed S. Shehata:
NullSpaceNet: Nullspace Convoluional Neural Network with Differentiable Loss Function. CoRR abs/2004.12058 (2020)
2010 – 2019
- 2019
- [j17]Bashir Ghariba, Mohamed S. Shehata
Visual Saliency Prediction Based on Deep Learning. Inf. 10(8): 257 (2019) - [j16]Younis E. Abdalla, M. Tariq Iqbal
Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network. Inf. 10(9): 286 (2019) - [j15]Ebrahim Karami
Semi-Automatic Algorithms for Estimation and Tracking of AP-Diameter of the IVC in Ultrasound Images. J. Imaging 5(1): 12 (2019) - [j14]Younis E. Abdalla, M. Tariq Iqbal
Convolutional Neural Network for Copy-Move Forgery Detection. Symmetry 11(10): 1280 (2019) - [j13]Ebrahim Karami
Adaptive Polar Active Contour for Segmentation and Tracking in Ultrasound Videos. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1209-1222 (2019) - [j12]Agwad ElTantawy
KRMARO: Aerial Detection of Small-Size Ground Moving Objects Using Kinematic Regularization and Matrix Rank Optimization. IEEE Trans. Circuits Syst. Video Technol. 29(6): 1672-1686 (2019) - [j11]Agwad ElTantawy
An Accelerated Sequential PCP-Based Method for Ground-Moving Objects Detection From Aerial Videos. IEEE Trans. Image Process. 28(12): 5991-6006 (2019) - [j10]Hafez Seliem
On the End-to-End Delay in a One-Way VANET. IEEE Trans. Veh. Technol. 68(9): 8336-8346 (2019) - [c25]Javad Rahimipour Anaraki, Saeed Samet, Mohamed S. Shehata
Detecting Relative Changes in Circulating Blood Volume using Ultrasound and Simulation. CBMS 2019: 263-268 - [c24]Mohamed H. Abdelpakey, Mohamed S. Shehata
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking. ISVC (1) 2019: 45-58 - [i6]Mohamed H. Abdelpakey, Mohamed S. Shehata:
DomainSiam: Domain-Aware Siamese Network for Visual Object Tracking. CoRR abs/1908.07905 (2019) - 2018
- [j9]Hafez Seliem
Drone-Based Highway-VANET and DAS Service. IEEE Access 6: 20125-20137 (2018) - [j8]Mohamed H. Abdelpakey
Adaptive Framework for Robust Visual Tracking. IEEE Access 6: 55273-55283 (2018) - [j7]Ebrahim Karami, Mohamed S. Shehata
Estimation and tracking of AP-diameter of the inferior vena cava in ultrasound images using a novel active circle algorithm. Comput. Biol. Medicine 98: 16-25 (2018) - [j6]Hafez Seliem
Probability Distribution of the Re-Healing Delay in a One-Way Highway VANET. IEEE Commun. Lett. 22(10): 2056-2059 (2018) - [j5]Agwad ElTantawy, Mohamed S. Shehata
MARO: matrix rank optimization for the detection of small-size moving objects from aerial camera platforms. Signal Image Video Process. 12(4): 641-649 (2018) - [c23]Matej Kristan, Ales Leonardis, Jiri Matas
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c22]Mohamed H. Abdelpakey, Mohamed S. Shehata
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking. ISVC 2018: 463-473 - [i5]Ebrahim Karami, Mohamed S. Shehata, Andrew Smith:
Adaptive Polar Active Contour for Segmentation and Tracking in Ultrasound Videos. CoRR abs/1803.07195 (2018) - [i4]Ebrahim Karami, Mohamed S. Shehata, Andrew J. Smith:
Estimation and Tracking of AP-diameter of the Inferior Vena Cava in Ultrasound Images Using a Novel Active Circle Algorithm. CoRR abs/1805.02125 (2018) - [i3]Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed:
DensSiam: End-to-End Densely-Siamese Network with Self-Attention Model for Object Tracking. CoRR abs/1809.02714 (2018) - 2017
- [j4]Adam B. Noel
Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 19(3): 1403-1423 (2017) - [c21]Younis E. Abdalla, M. Tariq Iqbal, Mohamed S. Shehata
Black Ice detection system using Kinect. CCECE 2017: 1-4 - [c20]Ebrahim Karami, Mohamed S. Shehata
Tracking of the internal jugular vein in ultrasound images using optical flow. CCECE 2017: 1-4 - [c19]Acil Abdel Naby, Mohamed S. Shehata
AEIPA: Docker-based system for Automated Evaluation of Image Processing Algorithms. CCECE 2017: 1-4 - [c18]Abdelrahman Ahmed, Mohamed S. Shehata
Effect of Denoising Algorithms on Video Stabilization. CRV 2017: 299-306 - [c17]Ebrahim Karami, Mohamed S. Shehata
Segmentation and tracking of inferior vena cava in ultrasound images using a novel polar active contour algorithm. GlobalSIP 2017: 745-749 - [c16]Hafez Seliem, Mohamed Hossam Ahmed, Reza Shahidi, Mohamed S. Shehata:
Delay analysis for drone-based vehicular Ad-Hoc Networks. PIMRC 2017: 1-7 - [i2]Ebrahim Karami, Siva Prasad, Mohamed S. Shehata:
Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images. CoRR abs/1710.02726 (2017) - [i1]Ebrahim Karami, Mohamed S. Shehata, Andrew J. Smith:
Image Identification Using SIFT Algorithm: Performance Analysis against Different Image Deformations. CoRR abs/1710.02728 (2017) - 2016
- [c15]Ebrahim Karami, Mohamed S. Shehata
A semi-automated technique for internal jugular vein segmentation in ultrasound images using active contours. BHI 2016: 184-187 - [c14]Abdelrahman Ahmed, Mohamed S. Shehata
StableFlow: A novel real-time method for digital video stabilization. ICPR 2016: 2965-2970 - [c13]Agwad ElTantawy, Mohamed S. Shehata
A novel method for segmenting moving objects in aerial imagery using matrix recovery and physical spring model. ICPR 2016: 3898-3903 - [c12]Jordan P. Smith, Mohamed S. Shehata
Physiological Features of the Internal Jugular Vein from B-Mode Ultrasound Imagery. ISVC (2) 2016: 312-319 - [c11]Zizui Chen, Stephen Czarnuch
Performance Evaluation of 3D Keypoints and Descriptors. ISVC (2) 2016: 410-420 - [c10]Jordan P. Smith, Mohamed S. Shehata
Features of Internal Jugular Vein Contours for Classification. ISVC (2) 2016: 421-430 - [c9]Abdelrahman Ahmed, Mohamed S. Shehata
Towards High-Quality Parallel Stabilization. VISIGRAPP (3: VISAPP) 2016: 667-672 - 2015
- [c8]Agwad ElTantawy, Mohamed S. Shehata
Moving object detection from moving platforms using Lagrange multiplier. ICIP 2015: 2586-2590 - [c7]Agwad ElTantawy, Mohamed S. Shehata
UT-MARO: Unscented Transformation and Matrix Rank Optimization for Moving Objects Detection in Aerial Imagery. ISVC (1) 2015: 275-284 - [c6]Zizui Chen, Mohamed S. Shehata
Feasibility of a semi-automated approach to grading point of care ultrasound image generation skills. IVCNZ 2015: 1-5 - 2013
- [j3]Shan Du, Mahmoud Ibrahim, Mohamed S. Shehata
Automatic License Plate Recognition (ALPR): A State-of-the-Art Review. IEEE Trans. Circuits Syst. Video Technol. 23(2): 311-325 (2013) - [c5]Shan Du, Mohamed S. Shehata
Eliminating illumination effects by discrete cosine transform (DCT) coefficients' attenuation and accentuation. Image Processing: Machine Vision Applications 2013: 86610H - 2012
- [c4]Shan Du, Mohamed S. Shehata
A novel algorithm for illumination invariant DCT-based face recognition. CCECE 2012: 1-4
2000 – 2009
- 2009
- [j2]Jun Cai, Mohamed S. Shehata
A Robust Video-Based Algorithm for Detecting Snow Movement in Traffic Scenes. J. Signal Process. Syst. 56(2-3): 307-326 (2009) - 2008
- [j1]Mohamed S. Shehata
Video-Based Automatic Incident Detection for Smart Roads: The Outdoor Environmental Challenges Regarding False Alarms. IEEE Trans. Intell. Transp. Syst. 9(2): 349-360 (2008) - 2007
- [c3]Jun Cai, Mohamed S. Shehata
An Algorithm to Compensate for Road Illumination Changes for AID Systems. ITSC 2007: 980-985 - 2006
- [c2]Mohamed S. Shehata
On Eliminating Static Shadow False Alarms in Automatic Incident Detection Systems. ITSC 2006: 759-764 - [c1]Jun Cai, Muzamil S. Pervez, Mohamed S. Shehata
On The Identification of Snow Movements on Roads. SiPS 2006: 357-361
Coauthor Index
Rama Krishna Sai S. Gorthi
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
aka: Rama Krishna Sai Subrahmanyam Gorthi
aka: Gorthi R. K. Sai Subrahmanyam
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last updated on 2024-12-08 01:29 CET by the dblp team
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