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ORCIDMohamed S. Shehata
Mohamed Sami Shehata – Mohamed Shehata 0001
Person information
- affiliation: University of British Columbia, Department of Computer Science, Irving K. Barber Faculty of Science, Kelowna, BC, Canada
- affiliation: Memorial University of Newfoundland, Department of Engineering and Applied Sciences, Saint John's, NL, Canada
- affiliation: Benha University, Department of Electrical and Computer Engineering, Shoubra Faculty of Engineering, Cairo, Egypt
- affiliation (PhD 2005): University of Calgary, Department of Electrical and Computer Engineering, AB, Canada
Other persons with the same name
- Mohamed Shehata — disambiguation page
- Mohamed Shehata 0002
![[0000-0001-6640-6183]](https://dblp1.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-6640-6183")
— University of Louisville (UofL), Department of Bioengineering, KY, USA (and 1 more) - Mohamed Shehata 0003 — Politecnico di Milano (Polytechnic University of Milan), Department of Electronics, Information and Bioengineering, Italy (and 1 more)
- Mohamed Shehata 0004 — Cairo University, Opto-Nano-Electronics Laboratory (ONE Lab), Department of Electrical Engineering, Giza, Egypt
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2020 – today
- 2025
[j39]Md. Rayhan Ahmed, Mohamed S. Shehata, Patricia Lasserre:
Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification. Comput. Biol. Medicine 190: 110071 (2025)- [j38]Anubhav Gupta, Islam I. Osman, Mohamed S. Shehata, W. John Braun, Rebecca E. Feldman:
MedMAE: A Self-Supervised Backbone for Medical Imaging Tasks. Comput. 13(4): 88 (2025) - [j37]Omar Abdelaziz, Mohamed Shehata, Mohamed Mohamed:
Beyond traditional visual object tracking: a survey. Int. J. Mach. Learn. Cybern. 16(2): 1435-1460 (2025) - [j36]Ahmed Radwan, Mohamed S. Shehata:
Fedpartwhole: federated domain generalization via consistent part-whole hierarchies. Pattern Anal. Appl. 28(2): 61 (2025) - [j35]Omar Abdelaziz, Mohamed Shehata:
DMTrack: learning deformable masked visual representations for single object tracking. Signal Image Video Process. 19(1): 61 (2025) - [c51]Ahmed Radwan, Mahmoud Soliman, Omar Abdelaziz, Mohamed Shehata:
FedDG-MoE: Test-Time Mixture-of-Experts Fusion for Federated Domain Generalization. CVPR Workshops 2025: 1811-1820 - [c50]Ahmad Abdel-Qader, Anas Chaaban, Mohamed S. Shehata:
Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation. IWCMC 2025: 491-496 - [c49]Omar Abdelaziz, Mahmoud Soliman, Mahmoud Alaa, Mohamed S. Shehata:
Learnable Laplacian Embedding Decomposition for One-Stream Visual Object Trackers. MECO 2025: 1-6 - [i17]Ahmad Abdel-Qader, Anas Chaaban, Mohamed S. Shehata:
Mutli-Level Autoencoder: Deep Learning Based Channel Coding and Modulation. CoRR abs/2506.23511 (2025) - 2024
- [j34]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) - [j33]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) - [c48]Islam I. Osman, Mohamed S. Shehata:
BgSub: A Background Subtraction Model for Effective Moving Object Detection. ACCV Workshops (1) 2024: 3-16 - [c47]Islam I. Osman, Mohamed S. Shehata:
Learn By An Example Transformer For Domain Generalization In Video Object Segmentation. ICIP 2024: 4014-4020 - [c46]Isha Shah, Tim Mammadov, Mohamed Sami Shehata, Rasika Rajapakshe:
Investigating the Impact of a Foundational Medical Image Model for CT Classification. ISVC (2) 2024: 108-116 - [c45]Islam Abdelfattah, Mohamed S. Shehata:
MEM: Mask Enhancement Model for Video Object Segmentation. ISVC (1) 2024: 262-274 - [c44]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. 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 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
- [j32]Mohamed H. Abdelpakey, Mohamed S. Shehata:
Nonoverlapping Feature Projection Convolutional Neural Network With Differentiable Loss Function. IEEE Trans. Artif. Intell. 4(4): 933-945 (2023) - [j31]Islam I. Osman, Mohamed S. Shehata:
Few-Shot Learning Network for Out-of-Distribution Image Classification. IEEE Trans. Artif. Intell. 4(6): 1579-1591 (2023) - [j30]Reece Walsh, Islam I. Osman, Mohamed S. Shehata:
Masked Embedding Modeling With Rapid Domain Adjustment for Few-Shot Image Classification. IEEE Trans. Image Process. 32: 4907-4920 (2023) - [c43]Ahmed Radwan, Mohamed S. Shehata:
Distilling Part-whole Hierarchical Knowledge from a Huge Pretrained Class Agnostic Segmentation Framework. ICCV (Workshops) 2023: 238-246 - [c42]Reece Walsh, Mohamed S. Shehata:
Regularized Meta-Training with Embedding Mixup for Improved Few-Shot Learning. ISVC (2) 2023: 177-187 - [c41]Islam I. Osman, Islam Abdelfattah, Mohamed S. Shehata:
Domain Generalization for Foreground Segmentation Using Federated Learning. ISVC (1) 2023: 251-263 - 2022
- [j29]Marouane Tliba, Mohamed Amine Kerkouri, Bashir Ghariba, Aladine Chetouani, Arzu Çöltekin, Mohamed S. Shehata, Alessandro Bruno:
SATSal: A Multi-Level Self-Attention Based Architecture for Visual Saliency Prediction. IEEE Access 10: 20701-20713 (2022) - [j28]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) - [j27]Mohamed H. Abdelpakey, Mohamed S. Shehata:
NullSpaceRDAR: Regularized discriminative adaptive nullspace for object tracking. Image Vis. Comput. 127: 104550 (2022) - [c40]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 - [c39]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
- [j26]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) - [j25]Sherif Elbishlawi, Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed:
CORONA-Net: Diagnosing COVID-19 from X-ray Images Using Re-Initialization and Classification Networks. J. Imaging 7(5): 81 (2021) - [c38]Anthony Boyko, Mohamed H. Abdelpakey, Mohamed S. Shehata:
GroupNet: Detecting the Social Distancing Violation using Object Tracking in Crowdscene. CCECE 2021: 1-5 - [c37]Mohamad Khajezade, Milad Ramezankhani, Fatemeh Hendijani Fard, Mohamed S. Shehata, Abbas S. Milani:
Toward Using Few-Shot Learning for Prediction of Complex In-Service Defects of Composite Products: A case Study. CCECE 2021: 1-7 - [c36]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 - [c35]Matej Kristan, Jirí Matas, Ales Leonardis, Michael Felsberg, Roman P. Pflugfelder, Joni-Kristian Kämäräinen, Hyung Jin Chang, Martin Danelljan, Luka Cehovin Zajc, Alan Lukezic, Ondrej Drbohlav, Jani Käpylä, Gustav Häger, Song Yan, Jinyu Yang, Zhongqun Zhang, Gustavo Fernández, Mohamed H. Abdelpakey, Goutam Bhat, Llukman Cerkezi, Hakan Cevikalp, Shengyong Chen, Xin Chen, Miao Cheng, Ziyi Cheng, Yu-Chen Chiu, Ozgun Cirakman, Yutao Cui, Kenan Dai, Mohana Murali Dasari, Qili Deng, Xingping Dong, Daniel K. Du, Matteo Dunnhofer, Zhenhua Feng, Zhiyong Feng, Zhihong Fu, Shiming Ge, Rama Krishna Gorthi, Yuzhang Gu, Bilge Günsel, Qing Guo, Filiz Gurkan, Wencheng Han, Yanyan Huang, Felix Järemo Lawin, Shang-Jhih Jhang, Rongrong Ji, Cheng Jiang, Yingjie Jiang, Felix Juefei-Xu, J. Yin, Xiao Ke, Fahad Shahbaz Khan, Byeong Hak Kim, Josef Kittler, Xiangyuan Lan, Jun Ha Lee, Bastian Leibe, Hui Li, Jianhua Li, Xianxian Li, Yuezhou Li, Bo Liu, Chang Liu, Jingen Liu, Li Liu, Qingjie Liu, Huchuan Lu, Wei Lu, Jonathon Luiten, Jie Ma, Ziang Ma, Niki Martinel, Christoph Mayer, Alireza Memarmoghadam, Christian Micheloni, Yuzhen Niu, Danda Pani Paudel, Houwen Peng, Shoumeng Qiu, Aravindh Rajiv, Muhammad Rana, Andreas Robinson, Hasan Saribas, Ling Shao, Mohamed Shehata, Furao Shen, Jianbing Shen, Kristian Simonato, Xiaoning Song, Zhangyong Tang, Radu Timofte, Philip H. S. Torr, Chi-Yi Tsai, Bedirhan Uzun, Luc Van Gool, Paul Voigtlaender, Dong Wang, Guangting Wang, Liangliang Wang, Lijun Wang, Limin Wang, Linyuan Wang, Yong Wang, Yunhong Wang, Chenyan Wu, Gangshan Wu, Xiaojun Wu, Fei Xie, Tianyang Xu, Xiang Xu, Wanli Xue, Bin Yan, Wankou Yang, Xiaoyun Yang, Yu Ye, Jun Yin, Chengwei Zhang, Chunhui Zhang, Haitao Zhang, Kaihua Zhang, Kangkai Zhang, Xiaohan Zhang, Xiaolin Zhang, Xinyu Zhang, Zhibin Zhang, Shao-Chuan Zhao, Ming Zhen, Bineng Zhong, Jiawen Zhu, Xuefeng Zhu:
The Ninth Visual Object Tracking VOT2021 Challenge Results. ICCVW 2021: 2711-2738 - [c34]Sherif Elbishlawi, Mohamed H. Abdelpakey, Mohamed S. Shehata:
SocialNet: Detecting Social Distancing Violations in Crowd Scene on IoT devices. WF-IoT 2021: 801-806 - [c33]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
- [j24]Sherif Elbishlawi, Mohamed H. Abdelpakey, Agwad ElTantawy, Mohamed S. Shehata, Mostafa M. Mohamed:
Deep Learning-Based Crowd Scene Analysis Survey. J. Imaging 6(9): 95 (2020) - [j23]Bashir Ghariba, Mohamed S. Shehata, Peter F. McGuire:
A novel fully convolutional network for visual saliency prediction. PeerJ Comput. Sci. 6: e280 (2020) - [j22]Agwad ElTantawy, Mohamed S. Shehata:
Local null space pursuit for real-time moving object detection in aerial surveillance. Signal Image Video Process. 14(1): 87-95 (2020) - [j21]Mohamed H. Abdelpakey, Mohamed S. Shehata:
DP-Siam: Dynamic Policy Siamese Network for Robust Object Tracking. IEEE Trans. Image Process. 29: 1479-1492 (2020) - [j20]Hafez Seliem, Reza Shahidi, Mohamed Hossam Ahmed, Mohamed S. Shehata:
Accurate Probability Distribution Calculation for Drone-Based Highway-VANETs. IEEE Trans. Veh. Technol. 69(1): 1127-1130 (2020) - [c32]Bashir Ghariba, Mohamed S. Shehata, Peter F. McGuire:
Performance Evaluation of Pre-Trained CNN Models for Visual Saliency Prediction. CCECE 2020: 1-4 - [c31]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
- [j19]Bashir Ghariba, Mohamed S. Shehata, Peter F. McGuire:
Visual Saliency Prediction Based on Deep Learning. Inf. 10(8): 257 (2019) - [j18]Younis E. Abdalla, M. Tariq Iqbal, Mohamed S. Shehata:
Copy-Move Forgery Detection and Localization Using a Generative Adversarial Network and Convolutional Neural-Network. Inf. 10(9): 286 (2019) - [j17]Ebrahim Karami, Mohamed S. Shehata, Andrew Smith:
Semi-Automatic Algorithms for Estimation and Tracking of AP-Diameter of the IVC in Ultrasound Images. J. Imaging 5(1): 12 (2019) - [j16]Younis E. Abdalla, M. Tariq Iqbal, Mohamed S. Shehata:
Convolutional Neural Network for Copy-Move Forgery Detection. Symmetry 11(10): 1280 (2019) - [j15]Ebrahim Karami, Mohamed Shehata, Andrew Smith:
Adaptive Polar Active Contour for Segmentation and Tracking in Ultrasound Videos. IEEE Trans. Circuits Syst. Video Technol. 29(4): 1209-1222 (2019) - [j14]Agwad ElTantawy, Mohamed S. Shehata:
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) - [j13]Agwad ElTantawy, Mohamed S. Shehata:
An Accelerated Sequential PCP-Based Method for Ground-Moving Objects Detection From Aerial Videos. IEEE Trans. Image Process. 28(12): 5991-6006 (2019) - [j12]Hafez Seliem, Reza Shahidi, Mohamed Hossam Ahmed, Mohamed S. Shehata:
On the End-to-End Delay in a One-Way VANET. IEEE Trans. Veh. Technol. 68(9): 8336-8346 (2019) - [c30]Javad Rahimipour Anaraki, Saeed Samet, Mohamed S. Shehata, Kris Aubrey-Bassler, Ebrahim Karami, Saba Samet, Andrew Smith:
Detecting Relative Changes in Circulating Blood Volume using Ultrasound and Simulation. CBMS 2019: 263-268 - [c29]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
- [j11]Hafez Seliem, Reza Shahidi, Mohamed Hossam Ahmed, Mohamed S. Shehata:
Drone-Based Highway-VANET and DAS Service. IEEE Access 6: 20125-20137 (2018) - [j10]Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed, Minglun Gong:
Adaptive Framework for Robust Visual Tracking. IEEE Access 6: 55273-55283 (2018) - [j9]Ebrahim Karami, Mohamed Shehata, Andrew J. Smith:
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) - [j8]Hafez Seliem, Reza Shahidi, Mohamed Hossam Ahmed, Mohamed S. Shehata:
Probability Distribution of the Re-Healing Delay in a One-Way Highway VANET. IEEE Commun. Lett. 22(10): 2056-2059 (2018) - [j7]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) - [c28]Matej Kristan, Ales Leonardis, Jiri Matas, Michael Felsberg, Roman P. Pflugfelder, Luka Cehovin Zajc, Tomás Vojír, Goutam Bhat, Alan Lukezic, Abdelrahman Eldesokey, Gustavo Fernández, Álvaro García-Martín, Álvaro Iglesias-Arias, A. Aydin Alatan, Abel González-García, Alfredo Petrosino, Alireza Memarmoghadam, Andrea Vedaldi, Andrej Muhic, Anfeng He, Arnold W. M. Smeulders, Asanka G. Perera, Bo Li, Boyu Chen, Changick Kim, Changsheng Xu, Changzhen Xiong, Cheng Tian, Chong Luo, Chong Sun, Cong Hao, Daijin Kim, Deepak Mishra, Deming Chen, Dong Wang, Dongyoon Wee, Efstratios Gavves, Erhan Gundogdu, Erik Velasco-Salido, Fahad Shahbaz Khan, Fan Yang, Fei Zhao, Feng Li, Francesco Battistone, George De Ath, Gorthi R. K. Sai Subrahmanyam, Guilherme Sousa Bastos, Haibin Ling, Hamed Kiani Galoogahi, Hankyeol Lee, Haojie Li, Haojie Zhao, Heng Fan, Honggang Zhang, Horst Possegger, Houqiang Li, Huchuan Lu, Hui Zhi, Huiyun Li, Hyemin Lee, Hyung Jin Chang, Isabela Drummond, Jack Valmadre, Jaime Spencer Martin, Javaan Singh Chahl, Jin Young Choi, Jing Li, Jinqiao Wang, Jinqing Qi, Jinyoung Sung, Joakim Johnander, João F. Henriques, Jongwon Choi, Joost van de Weijer, Jorge Rodríguez Herranz, José M. Martínez, Josef Kittler, Junfei Zhuang, Junyu Gao, Klemen Grm, Lichao Zhang, Lijun Wang, Lingxiao Yang, Litu Rout, Liu Si, Luca Bertinetto, Lutao Chu, Manqiang Che, Mario Edoardo Maresca, Martin Danelljan, Ming-Hsuan Yang, Mohamed H. Abdelpakey, Mohamed Shehata, Myunggu Kang, Namhoon Lee, Ning Wang, Ondrej Miksik, Payman Moallem, Pablo Vicente-Moñivar, Pedro Senna, Peixia Li, Philip H. S. Torr, Priya Mariam Raju, Ruihe Qian, Qiang Wang, Qin Zhou, Qing Guo, Rafael Martin Nieto, Rama Krishna Sai Subrahmanyam Gorthi, Ran Tao, Richard Bowden, Richard M. Everson, Runling Wang, Sangdoo Yun, Seokeon Choi, Sergio Vivas, Shuai Bai, Shuangping Huang, Sihang Wu, Simon Hadfield, Siwen Wang, Stuart Golodetz, Ming Tang, Tianyang Xu, Tianzhu Zhang, Tobias Fischer, Vincenzo Santopietro, Vitomir Struc, Wei Wang, Wangmeng Zuo, Wei Feng, Wei Wu, Wei Zou, Weiming Hu, Wengang Zhou, Wenjun Zeng, Xiaofan Zhang, Xiaohe Wu, Xiao-Jun Wu, Xinmei Tian, Yan Li, Yan Lu, Yee Wei Law, Yi Wu, Yiannis Demiris, Yicai Yang, Yifan Jiao, Yuhong Li, Yunhua Zhang, Yuxuan Sun, Zheng Zhang, Zheng Zhu, Zhenhua Feng, Zhihui Wang, Zhiqun He:
The Sixth Visual Object Tracking VOT2018 Challenge Results. ECCV Workshops (1) 2018: 3-53 - [c27]Mohamed H. Abdelpakey, Mohamed S. Shehata, Mostafa M. Mohamed:
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
- [j6]Adam B. Noel, Abderrazak Abdaoui, Tarek Elfouly, Mohamed Hossam Ahmed, Ahmed Badawy, Mohamed S. Shehata:
Structural Health Monitoring Using Wireless Sensor Networks: A Comprehensive Survey. IEEE Commun. Surv. Tutorials 19(3): 1403-1423 (2017) - [c26]Younis E. Abdalla, M. Tariq Iqbal, Mohamed S. Shehata:
Black Ice detection system using Kinect. CCECE 2017: 1-4 - [c25]Ebrahim Karami, Mohamed S. Shehata, Andrew J. Smith:
Tracking of the internal jugular vein in ultrasound images using optical flow. CCECE 2017: 1-4 - [c24]Acil Abdel Naby, Mohamed S. Shehata, Theodore S. Norvell:
AEIPA: Docker-based system for Automated Evaluation of Image Processing Algorithms. CCECE 2017: 1-4 - [c23]Abdelrahman Ahmed, Mohamed S. Shehata:
Effect of Denoising Algorithms on Video Stabilization. CRV 2017: 299-306 - [c22]Ebrahim Karami, Mohamed Shehata, Andrew J. Smith:
Segmentation and tracking of inferior vena cava in ultrasound images using a novel polar active contour algorithm. GlobalSIP 2017: 745-749 - [c21]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 Shehata:
Image Matching Using SIFT, SURF, BRIEF and ORB: Performance Comparison for Distorted Images. CoRR abs/1710.02726 (2017) - [i1]Ebrahim Karami, Mohamed Shehata, Andrew J. Smith:
Image Identification Using SIFT Algorithm: Performance Analysis against Different Image Deformations. CoRR abs/1710.02728 (2017) - 2016
- [c20]Ebrahim Karami, Mohamed Shehata, Peter F. McGuire, Andrew J. Smith:
A semi-automated technique for internal jugular vein segmentation in ultrasound images using active contours. BHI 2016: 184-187 - [c19]Abdelrahman Ahmed, Mohamed S. Shehata:
StableFlow: A novel real-time method for digital video stabilization. ICPR 2016: 2965-2970 - [c18]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 - [c17]Jordan P. Smith, Mohamed Shehata, Ramsey G. Powell, Peter F. McGuire, Andrew J. Smith:
Physiological Features of the Internal Jugular Vein from B-Mode Ultrasound Imagery. ISVC (2) 2016: 312-319 - [c16]Zizui Chen, Stephen Czarnuch, Andrew J. Smith, Mohamed Shehata:
Performance Evaluation of 3D Keypoints and Descriptors. ISVC (2) 2016: 410-420 - [c15]Jordan P. Smith, Mohamed Shehata, Peter F. McGuire, Andrew J. Smith:
Features of Internal Jugular Vein Contours for Classification. ISVC (2) 2016: 421-430 - [c14]Abdelrahman Ahmed, Mohamed S. Shehata:
Towards High-Quality Parallel Stabilization. VISIGRAPP (3: VISAPP) 2016: 667-672 - 2015
- [c13]Agwad ElTantawy, Mohamed S. Shehata:
Moving object detection from moving platforms using Lagrange multiplier. ICIP 2015: 2586-2590 - [c12]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 - [c11]Zizui Chen, Mohamed S. Shehata, Minglun Gong, Heather Carnahan, Adam Dubrowski, Andrew J. Smith:
Feasibility of a semi-automated approach to grading point of care ultrasound image generation skills. IVCNZ 2015: 1-5 - 2013
- [j5]Shan Du, Mahmoud Ibrahim, Mohamed S. Shehata, Wael M. Badawy:
Automatic License Plate Recognition (ALPR): A State-of-the-Art Review. IEEE Trans. Circuits Syst. Video Technol. 23(2): 311-325 (2013) - [c10]Shan Du, Mohamed S. Shehata, Wael M. Badawy, Choudhury A. Rahman:
Eliminating illumination effects by discrete cosine transform (DCT) coefficients' attenuation and accentuation. Image Processing: Machine Vision Applications 2013: 86610H - 2012
- [c9]Shan Du, Mohamed S. Shehata, Wael M. Badawy:
A novel algorithm for illumination invariant DCT-based face recognition. CCECE 2012: 1-4 - 2010
- [r1]Mohamed Shehata, Armin Eberlein:
Requirements Interaction Detection. Encyclopedia of Software Engineering 2010: 979-998
2000 – 2009
- 2009
- [j4]Jun Cai, Mohamed S. Shehata, Wael M. Badawy:
A Robust Video-Based Algorithm for Detecting Snow Movement in Traffic Scenes. J. Signal Process. Syst. 56(2-3): 307-326 (2009) - 2008
- [j3]Mohamed S. Shehata, Jun Cai, Wael M. Badawy, T. W. Burr, Muzamil S. Pervez, Robert Johannesson, Alireza Radmanesh:
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
- [j2]Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo:
A taxonomy for identifying requirement interactions in software systems. Comput. Networks 51(2): 398-425 (2007) - [j1]Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo:
Using semi-formal methods for detecting interactions among smart homes policies. Sci. Comput. Program. 67(2-3): 125-161 (2007) - [c8]Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo:
Managing Policy Interactions in KNX-Based Smart Homes. COMPSAC (2) 2007: 367-378 - [c7]Jun Cai, Mohamed S. Shehata, Wael M. Badawy, Muzamil S. Pervez:
An Algorithm to Compensate for Road Illumination Changes for AID Systems. ITSC 2007: 980-985 - 2006
- [c6]Mohamed S. Shehata, Muzamil S. Pervez, Tyson Burr, Jun Cai, Wael M. Badawy, Ahmad Radmanesh:
On Eliminating Static Shadow False Alarms in Automatic Incident Detection Systems. ITSC 2006: 759-764 - [c5]Jun Cai, Muzamil S. Pervez, Mohamed S. Shehata, Robert Johannesson, Wael M. Badawy, Ahmad Radmanesh:
On The Identification of Snow Movements on Roads. SiPS 2006: 357-361 - 2004
- [c4]Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo:
IRIS: A Semi-Formal Approach for Detecting Requirements Interactions. ECBS 2004: 273-281 - [c3]Mohamed Shehata, Armin Eberlein, Abraham O. Fapojuwo:
The use of semi-formal methods for detecting requirements interactions. IASTED Conf. on Software Engineering 2004: 230-235 - 2003
- [c2]Mohamed Shehata, Armin Eberlein:
Requirements Interaction Detection Using Semi-Formal Methods. ECBS 2003: 224-232 - [c1]Mohamed Shehata, Armin Eberlein:
Detecting Requirements Interactions: A Three-Level Framework. ASE 2003: 352-355
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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