Mohammed Hassan Attia

Orcid: 0000-0002-4803-2963

According to our database1, Mohammed Hassan Attia authored at least 23 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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Article 
PhD thesis 
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Links

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Bibliography

2023
VoxelScape: Large Scale Simulated 3D Point Cloud Dataset of Urban Traffic Environments.
IEEE Trans. Intell. Transp. Syst., September, 2023

2021
Fast intent prediction of multi-cyclists in 3D point cloud data using deep neural networks.
Neurocomputing, 2021

2020
Fast Synthetic LiDAR Rendering via Spherical UV Unwrapping of Equirectangular Z-Buffer Images.
CoRR, 2020

Refined Continuous Control of DDPG Actors via Parametrised Activation.
CoRR, 2020

Realistic hair simulator for skin lesion images: A novel benchemarking tool.
Artif. Intell. Medicine, 2020

2019
Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data.
CoRR, 2019

Realistic Hair Simulation Using Image Blending.
CoRR, 2019

Digital hair segmentation using hybrid convolutional and recurrent neural networks architecture.
Comput. Methods Programs Biomed., 2019

Exploring the Effect of Virtual Depth on Pupil Diameter.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

A k-NN Classification based VR User Verification using Eye Movement and Ocular Biomechanics.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

High Frame Rate Photorealistic Flame Rendering via Generative Adversarial Networks.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Fingerprint Synthesis Via Latent Space Representation.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

SSDPose: A Single Shot Deep Pose Estimation and Analysis.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Cyclist Intent Prediction using 3D LIDAR Sensors for Fully Automated Vehicles.
Proceedings of the 2019 IEEE Intelligent Transportation Systems Conference, 2019

Domain Adaptation for Vehicle Detection from Bird's Eye View LiDAR Point Cloud Data.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018
Local Motion Planning for Ground Mobile Robots via Deep Imitation Learning.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

Towards Trusted Autonomous Surgical Robots.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A Frequency Domain Classifier of Steady-State Visual Evoked Potentials Using Deep Separable Convolutional Neural Networks.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

A time domain classification of steady-state visual evoked potentials using deep recurrent-convolutional neural networks.
Proceedings of the 15th IEEE International Symposium on Biomedical Imaging, 2018

2017
Spatially Aware Melanoma Segmentation Using Hybrid Deep Learning Techniques.
CoRR, 2017

Surgical tool segmentation using a hybrid deep CNN-RNN auto encoder-decoder.
Proceedings of the 2017 IEEE International Conference on Systems, Man, and Cybernetics, 2017

Skin melanoma segmentation using recurrent and convolutional neural networks.
Proceedings of the 14th IEEE International Symposium on Biomedical Imaging, 2017

2015
Implementation of edge-enhancement nonlinear anisotropic diffusion filtering using different CUDA memory models.
Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2015


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