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Mohammed Hossny
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2020 – today
- 2023
- [j13]Khaled Saleh
, Mohammed Hossny, Ahmed Abobakr, Mohammed Hassan Attia
VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments. IEEE Trans. Intell. Transp. Syst. 24(9): 9435-9448 (2023) - [c64]Muhammad Talha
LiDAR Inpainting of UAV Based 3D Point Cloud Using Supervised Learning. AI (1) 2023: 203-214 - 2022
- [c63]Muhammad Talha
Autonomous UAV Navigation in Wilderness Search-and-Rescue Operations Using Deep Reinforcement Learning. AI 2022: 733-746 - 2021
- [j12]Julie Iskander
Measuring the likelihood of VR visual fatigue through ocular biomechanics. Displays 70: 102105 (2021) - [j11]Khaled Saleh
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks. Neurocomputing 465: 205-214 (2021) - 2020
- [j10]Mohammed Hassan Attia
Realistic hair simulator for skin lesion images: A novel benchemarking tool. Artif. Intell. Medicine 108: 101933 (2020) - [j9]Khaled Saleh
Spatio-temporal DenseNet for real-time intent prediction of pedestrians in urban traffic environments. Neurocomputing 386: 317-324 (2020) - [j8]Khaled Saleh
Contextual Recurrent Predictive Model for Long-Term Intent Prediction of Vulnerable Road Users. IEEE Trans. Intell. Transp. Syst. 21(8): 3398-3408 (2020) - [i8]Mohammed Hossny, Julie Iskander, Mohammed Hassan Attia, Khaled Saleh:
Refined Continuous Control of DDPG Actors via Parametrised Activation. CoRR abs/2006.02818 (2020) - [i7]Mohammed Hossny, Khaled Saleh
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images. CoRR abs/2006.04345 (2020) - [i6]Julie Iskander, Mohammed Hossny:
An ocular biomechanics environment for reinforcement learning. CoRR abs/2008.05088 (2020) - [i5]Mohammed Hossny, Julie Iskander:
Biomechanic Posture Stabilisation via Iterative Training of Multi-policy Deep Reinforcement Learning Agents. CoRR abs/2008.12210 (2020)
2010 – 2019
- 2019
- [j7]Mohammed Hassan Attia
Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture. Comput. Methods Programs Biomed. 177: 17-30 (2019) - [c62]Syed Moshfeq Salaken, Saeid Nahavandi, Conor McGinn
Development of a Cloud-based Computational Framework for an Empathetic Robot. ICCAE 2019: 102-108 - [c61]Khaled Saleh
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. ICCV Workshops 2019: 3235-3242 - [c60]Khaled Saleh
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. ICRA 2019: 9704-9710 - [c59]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. SMC 2019: 1234-1238 - [c58]Julie Iskander, Ahmed Abobakr, Mohammed Hassan Attia, Khaled Saleh
A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics. SMC 2019: 1844-1848 - [c57]Julie Iskander, Mohammed Hassan Attia, Khaled Saleh
Exploring the Effect of Virtual Depth on Pupil Diameter. SMC 2019: 1849-1854 - [c56]Mohammed Hassan Attia, MennattAllah H. Attia
Fingerprint Synthesis Via Latent Space Representation. SMC 2019: 1855-1861 - [c55]Ahmed Abobakr, Hala Abdelkader
SSDPose: A Single Shot Deep Pose Estimation and Analysis. SMC 2019: 1862-1868 - [i4]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi, Hamed Asadi:
Realistic Hair Simulation Using Image Blending. CoRR abs/1904.09169 (2019) - [i3]Khaled Saleh, Mohammed Hossny, Saeid Nahavandi:
Real-time Intent Prediction of Pedestrians for Autonomous Ground Vehicles via Spatio-Temporal DenseNet. CoRR abs/1904.09862 (2019) - [i2]Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. CoRR abs/1905.08955 (2019) - 2018
- [j6]Julie Iskander
A Review on Ocular Biomechanic Models for Assessing Visual Fatigue in Virtual Reality. IEEE Access 6: 19345-19361 (2018) - [j5]Khaled Saleh
Effective Vehicle-Based Kangaroo Detection for Collision Warning Systems Using Region-Based Convolutional Networks. Sensors 18(6): 1913 (2018) - [j4]Ahmed Abobakr
A Skeleton-Free Fall Detection System From Depth Images Using Random Decision Forest. IEEE Syst. J. 12(3): 2994-3005 (2018) - [j3]Khaled Saleh
Intent Prediction of Pedestrians via Motion Trajectories Using Stacked Recurrent Neural Networks. IEEE Trans. Intell. Veh. 3(4): 414-424 (2018) - [c54]Khaled Saleh
Cyclist Trajectory Prediction Using Bidirectional Recurrent Neural Networks. Australasian Conference on Artificial Intelligence 2018: 284-295 - [c53]Ahmed Abobakr
RGB-D Fall Detection via Deep Residual Convolutional LSTM Networks. DICTA 2018: 1-7 - [c52]Khaled Saleh
Long-Term Recurrent Predictive Model for Intent Prediction of Pedestrians via Inverse Reinforcement Learning. DICTA 2018: 1-8 - [c51]Mohammed Hassan Attia
A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks. ISBI 2018: 766-769 - [c50]Darius Nahavandi, Ahmed Abobakr
A Pilot Study on Footprint Posture Classification of Passengers in Light Rail Public Transport via Deep Convolutional Neural Networks. ITSC 2018: 2724-2728 - [c49]Mohammed Hassan Attia
A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks. SMC 2018: 2134-2139 - [c48]Imali Hettiarachchi, Samer Hanoun, Darius Nahavandi, Julie Iskander
Towards More Accessible Physiological Data for Assessment of Cognitive Load - A Validation Study. SMC 2018: 3045-3050 - [c47]Julie Iskander
Age-Related Effects of Multi-screen Setup on Task Performance and Eye Movement Characteristics. SMC 2018: 3480-3485 - [c46]Darius Nahavandi, Ahmed Abobakr
A Low Cost Anthropometric Body Scanning System Using Depth Cameras. SMC 2018: 3486-3491 - [c45]Khaled Saleh
Reliable Switching Mechanism for Low Cost Multi-screen Eye Tracking Devices via Deep Recurrent Neural Networks. SMC 2018: 3492-3497 - [c44]Julie Iskander
Biomechanical Analysis of Eye Movement in Virtual Environments: A Validation Study. SMC 2018: 3498-3503 - [c43]Khaled Saleh
End-to-End Indoor Navigation Assistance for the Visually Impaired Using Monocular Camera. SMC 2018: 3504-3510 - [c42]Khaled Saleh
Local Motion Planning for Ground Mobile Robots via Deep Imitation Learning. SMC 2018: 4077-4082 - [c41]Mohammed Hassan Attia
Towards Trusted Autonomous Surgical Robots. SMC 2018: 4083-4088 - [c40]Julie Iskander
A classifier approach to multi-screen switching based on low cost eye-trackers. SysCon 2018: 1-6 - [i1]Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
SSIMLayer: Towards Robust Deep Representation Learning via Nonlinear Structural Similarity. CoRR abs/1806.09152 (2018) - 2017
- [j2]Darius Nahavandi, Mohammed Hossny
Skeleton-free RULA ergonomic assessment using Kinect sensors. Intell. Decis. Technol. 11(3): 275-284 (2017) - [c39]Mohammed Hassan Attia
Skin melanoma segmentation using recurrent and convolutional neural networks. ISBI 2017: 292-296 - [c38]Khaled Saleh
Cyclist detection in LIDAR scans using faster R-CNN and synthetic depth images. ITSC 2017: 1-6 - [c37]Khaled Saleh
Intent prediction of vulnerable road users from motion trajectories using stacked LSTM network. ITSC 2017: 327-332 - [c36]Khaled Saleh
Navigational path detection for the visually impaired using fully convolutional networks. SMC 2017: 1399-1404 - [c35]Darius Nahavandi, Ahmed Abobakr
A skeleton-free body surface area estimation from depth images using deep neural networks. SMC 2017: 2707-2711 - [c34]Ahmed Abobakr
RGB-D human posture analysis for ergonomie studies using deep convolutional neural network. SMC 2017: 2885-2890 - [c33]Julie Iskander
Simulating eye-head coordination during smooth pursuit using an ocular biomechanic model. SMC 2017: 3356-3361 - [c32]Khaled Saleh
Early intent prediction of vulnerable road users from visual attributes using multi-task learning network. SMC 2017: 3367-3372 - [c31]Mohammed Hassan Attia
Surgical tool segmentation using a hybrid deep CNN-RNN auto encoder-decoder. SMC 2017: 3373-3378 - [c30]Khaled Saleh
Towards trusted autonomous vehicles from vulnerable road users perspective. SysCon 2017: 1-7 - 2016
- [c29]Khaled Saleh
Kangaroo Vehicle Collision Detection Using Deep Semantic Segmentation Convolutional Neural Network. DICTA 2016: 1-7 - [c28]Darius Nahavandi, Mohammed Hossny
Skeleton-free task-specific rapid upper limb ergonomie assessment using depth imaging sensors. IEEE SENSORS 2016: 1-3 - [c27]Mohamed Hassan, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi:
Skin lesion segmentation using Gray Level Co-occurance Matrix. SMC 2016: 820-825 - [c26]Hussein Haggag, Ahmed Abobakr
Semantic body parts segmentation for quadrupedal animals. SMC 2016: 855-860 - [c25]Hussein Haggag, Mohammed Hossny
An adaptable system for RGB-D based human body detection and pose estimation: Incorporating attached props. SMC 2016: 1544-1549 - [c24]Darius Nahavandi, Julie Iskander
Ergonomic effects of using Lift Augmentation Devices in mining activities. SMC 2016: 2012-2019 - [c23]Mostafa Hossny, Shady M. K. Mohamed, Saeid Nahavandi, Kyle Nelson, Mohammed Hossny:
Driving behaviour analysis using topological features. SMC 2016: 3258-3263 - [c22]Ahmed Abobakr
Body joints regression using deep convolutional neural networks. SMC 2016: 3281-3287 - 2015
- [c21]Hussein Haggag, Mohammed Hossny
Body Parts Segmentation with Attached Props Using RGB-D Imaging. DICTA 2015: 1-8 - [c20]Mohammed Hossny
Musculoskeletal analysis of mining activities. ISSE 2015: 184-189 - [c19]Mohammed Hossny
Haptically-Enabled Dance Visualisation Framework for Deafblind-Folded Audience and Artists. SMC 2015: 446-450 - 2014
- [j1]Hailing Zhou
Recent Advances on Singlemodal and Multimodal Face Recognition: A Survey. IEEE Trans. Hum. Mach. Syst. 44(6): 701-716 (2014) - [c18]Hussein Haggag, Mohammed Hossny
Safety applications using Kinect technology. SMC 2014: 2164-2169 - [c17]Hussein Haggag, Mohammed Hossny
Efficacy comparison of clustering systems for limb detection. SoSE 2014: 148-153 - [c16]Hussein Haggag, Mohammed Hossny
LGT/VOT tracking performance evaluation of depth images. SoSE 2014: 284-288 - 2013
- [c15]Hussein Haggag, Mohammed Hossny
Measuring depth accuracy in RGBD cameras. ICSPCS 2013: 1-7 - [c14]Mohammed Hossny
CARMa: Content augmented reality marker. ISMAR 2013: 1-5 - [c13]Marwa Hassan, Mohammed Hossny
Quantifying Heteroskedasticity Using Slope of Local Variances Index. UKSim 2013: 107-111 - [c12]Marwa Hassan, Mohammed Hossny
Quantifying Heteroskedasticity via Binary Decomposition. UKSim 2013: 112-116 - [c11]Mohammed Hossny
Image Fusion Metrics: Evolution in a Nutshell. UKSim 2013: 443-450 - [c10]Hussein Haggag, Mohammed Hossny
Real Time Ergonomic Assessment for Assembly Operations Using Kinect. UKSim 2013: 495-500 - 2012
- [c9]Mohammed Hossny
Measuring the capacity of image fusion. IPTA 2012: 415-420 - [c8]Marwa Hassan, Mohammed Hossny
Heteroskedasticity Variance Index. UKSim 2012: 135-141 - [c7]Mohammed Hossny
An Evaluation Mechanism for Saliency Functions Used in Localized Image Fusion Quality Metrics. UKSim 2012: 407-415 - 2010
- [c6]Asim Bhatti
Wavelets/multiwavelets bases and correspondence estimation problem: An analytic study. ICARCV 2010: 1725-1730 - [c5]Mohammed Hossny
Towards autonomous image fusion. ICARCV 2010: 1748-1754
2000 – 2009
- 2009
- [c4]Mohammed Hossny
Zero and infinity images in multi-scale image fusion. ICIP 2009: 2181-2184 - [c3]Mohammed Hossny
Image fusion algorithms and metrics duality index. ICIP 2009: 2193-2196 - 2008
- [c2]Mahmoud Hossny, Ahmad Hossny, Mohammed Hossny:
TV Educational Program Unit Generation. CSSE (5) 2008: 921-924 - [c1]Mohammed Hossny
Feature-Based Image Fusion Quality Metrics. ICIRA (1) 2008: 469-478
Coauthor Index
[j11] [j10] [j9] [j8] [j7] [c62] [c61] [c60] [c59] [c58] [c57] [c56] [c55] [i4] [i3] [j6] [j5] [j4] [j3] [c54] [c53] [c52] [c51] [c49] [c48] [c47] [c45] [c44] [c43] [c42] [c41] [i1] [c39] [c38] [c37] [c36] [c34] [c33] [c32] [c31] [c30] [c29] [c27] [c26] [c25] [c23] [c22] [c21] [c20] [c19] [j1] [c18] [c17] [c16] [c15] [c14] [c13] [c12] [c11] [c10] [c9] [c8] [c7] [c6] [c5] [c4] [c3] [c1]
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