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ORCIDMohammed Hassan Attia
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2020 – today
- 2023
[j4]Khaled Saleh
, Mohammed Hossny, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander:
VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments. IEEE Trans. Intell. Transp. Syst. 24(9): 9435-9448 (2023)- 2021
- [j3]Khaled Saleh, Ahmed Abobakr, Mohammed Hossny, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Saeid Nahavandi:
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks. Neurocomputing 465: 205-214 (2021) - 2020
- [j2]Mohammed Hassan Attia, Mohammed Hossny, Hailing Zhou, Saeid Nahavandi, Hamed Asadi, Anousha Yazdabadi:
Realistic hair simulator for skin lesion images: A novel benchemarking tool. Artif. Intell. Medicine 108: 101933 (2020) - [i5]Mohammed Hossny, Julie Iskander, Mohammed Hassan Attia, Khaled Saleh:
Refined Continuous Control of DDPG Actors via Parametrised Activation. CoRR abs/2006.02818 (2020) - [i4]Mohammed Hossny, Khaled Saleh, Mohammed Hassan Attia, Ahmed Abobakr, Julie Iskander:
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images. CoRR abs/2006.04345 (2020)
2010 – 2019
- 2019
- [j1]Mohammed Hassan Attia, Mohammed Hossny, Hailing Zhou, Saeid Nahavandi, Hamed Asadi, Anousha Yazdabadi:
Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture. Comput. Methods Programs Biomed. 177: 17-30 (2019) - [c14]Khaled Saleh, Ahmed Abobakr, Mohammed Hassan Attia, Julie Iskander, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data. ICCV Workshops 2019: 3235-3242 - [c13]Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Julie Iskander, Mohammed Hassan Attia, Mostafa Hossny, Saeid Nahavandi:
Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles. ITSC 2019: 2020-2026 - [c12]Julie Iskander, Ahmed Abobakr, Mohammed Hassan Attia, Khaled Saleh, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics. SMC 2019: 1844-1848 - [c11]Julie Iskander, Mohammed Hassan Attia, Khaled Saleh, Ahmed Abobakr, Darius Nahavandi, Mohammed Hossny, Saeid Nahavandi:
Exploring the Effect of Virtual Depth on Pupil Diameter. SMC 2019: 1849-1854 - [c10]Mohammed Hassan Attia, MennattAllah H. Attia, Julie Iskander, Khaled Saleh, Darius Nahavandi, Ahmed Abobakr, Mohammed Hossny, Saeid Nahavandi:
Fingerprint Synthesis Via Latent Space Representation. SMC 2019: 1855-1861 - [c9]Ahmed Abobakr, Hala Abdelkader, Julie Iskander, Darius Nahavandi, Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi:
SSDPose: A Single Shot Deep Pose Estimation and Analysis. SMC 2019: 1862-1868 - [c8]Mohammed Hassan Attia, Ahmed Abobakr, Lei Wei, Khaled Saleh, Julie Iskander, H. Zhou, Darius Nahavandi, Mostafa Hossny, Saeid Nahavandi:
High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks. SMC 2019: 2391-2396 - [i3]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi, Hamed Asadi:
Realistic Hair Simulation Using Image Blending. CoRR abs/1904.09169 (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
- [c7]Mohammed Hassan Attia, Imali Hettiarachchi, Mohammed Hossny, Saeid Nahavandi:
A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks. ISBI 2018: 766-769 - [c6]Mohammed Hassan Attia, Imali Hettiarachchi, Shady M. K. Mohamed, Mohammed Hossny, Saeid Nahavandi:
A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks. SMC 2018: 2134-2139 - [c5]Khaled Saleh, Mohammed Hassan Attia, Mohammed Hossny, Samer Hanoun, Syed Moshfeq Salaken, Saeid Nahavandi:
Local Motion Planning for Ground Mobile Robots via Deep Imitation Learning. SMC 2018: 4077-4082 - [c4]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Mohsen Moradi Dalvand, Hamed Asadi:
Towards Trusted Autonomous Surgical Robots. SMC 2018: 4083-4088 - 2017
- [c3]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Anousha Yazdabadi:
Skin melanoma segmentation using recurrent and convolutional neural networks. ISBI 2017: 292-296 - [c2]Mohammed Hassan Attia, Mohammed Hossny, Saeid Nahavandi, Hamed Asadi:
Surgical tool segmentation using a hybrid deep CNN-RNN auto encoder-decoder. SMC 2017: 3373-3378 - [i1]Mohammed Hassan Attia, Mustafa Hossny, Saeid Nahavandi, Anousha Yazdabadi:
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques. CoRR abs/1702.07963 (2017) - 2015
- [c1]Mohammed Hassan Attia, Saleh A. Elshehaby, Adel Said Elmaghraby:
Implementation of edge-enhancement nonlinear anisotropic diffusion filtering using different CUDA memory models. ISSPIT 2015: 501-504
Coauthor Index
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