Mo Hossny
Mo Hossny
Senior Research Fellow, R&D Solution Architect, Deakin University
Verified email at research.deakin.edu.au - Homepage
Title
Cited by
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Year
Comments on'Information measure for performance of image fusion'
M Hossny, S Nahavandi, D Creighton
Electronics letters 44 (18), 1066-1067, 2008
2522008
Recent advances on singlemodal and multimodal face recognition: a survey
H Zhou, A Mian, L Wei, D Creighton, M Hossny, S Nahavandi
IEEE Transactions on Human-Machine Systems 44 (6), 701-716, 2014
792014
Real time ergonomic assessment for assembly operations using kinect
H Haggag, M Hossny, S Nahavandi, D Creighton
2013 UKSim 15th International Conference on Computer Modelling and …, 2013
702013
Measuring Depth Accuracy in RGBD Cameras
VP H. Haggag, M. Hossny, D. Filippidis, D. Creighton
IEEE International Conference on Signal Processing and Communication Systems, 2013
57*2013
Image fusion performance metric based on mutual information and entropy driven quadtree decomposition
M Hossny, S Nahavandi, D Creighton, A Bhatti
Electronics letters 46 (18), 1266-1268, 2010
392010
Scanning and processing 3D objects for web display
M Farouk, I El-Rifai, S El-Tayar, H El-Shishiny, M Hosny, M El-Rayes, ...
Proc. of the International Conference on 3DIM, 310-317, 2003
392003
Surgical tool segmentation using a hybrid deep cnn-rnn auto encoder-decoder
M Attia, M Hossny, S Nahavandi, H Asadi
2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2017
372017
Low cost multimodal facial recognition via kinect sensors
M Hossny, D Filippidis, W Abdelrahman, H Zhou, M Fielding, J Mullins, ...
Land Warfare Conference, 77-86, 2012
362012
A skeleton-free fall detection system from depth images using random decision forest
A Abobakr, M Hossny, S Nahavandi
IEEE Systems Journal 12 (3), 2994-3005, 2017
322017
Driving behavior classification based on sensor data fusion using LSTM recurrent neural networks
K Saleh, M Hossny, S Nahavandi
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
292017
A review on ocular biomechanic models for assessing visual fatigue in virtual reality
J Iskander, M Hossny, S Nahavandi
Ieee Access 6, 19345-19361, 2018
282018
Towards trusted autonomous vehicles from vulnerable road users perspective
K Saleh, M Hossny, S Nahavandi
2017 Annual IEEE International Systems Conference (SysCon), 1-7, 2017
282017
Body parts segmentation with attached props using rgb-d imaging
H Haggag, M Hossny, S Nahavandi, S Haggag, D Creighton
2015 International Conference on Digital Image Computing: Techniques and …, 2015
232015
Kinect crowd interaction
L Wei, V Le, W Abdelrahman, M Hossny, D Creighton, S Nahavandi
Asia Pacific Simulation Technology and Training Conference, 1-6, 2012
23*2012
Kangaroo vehicle collision detection using deep semantic segmentation convolutional neural network
K Saleh, M Hossny, S Nahavandi
2016 International Conference on Digital Image Computing: Techniques and …, 2016
222016
Body joints regression using deep convolutional neural networks
A Abobakr, M Hossny, S Nahavandi
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
222016
Intent prediction of vulnerable road users from motion trajectories using stacked LSTM network
K Saleh, M Hossny, S Nahavandi
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
212017
Safety applications using kinect technology
H Haggag, M Hossny, S Haggag, S Nahavandi, D Creighton
2014 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2014
212014
Semantic body parts segmentation for quadrupedal animals
H Haggag, A Abobakr, M Hossny, S Nahavandi
2016 IEEE International Conference on Systems, Man, and Cybernetics (SMC …, 2016
202016
Cyclist detection in lidar scans using faster r-cnn and synthetic depth images
K Saleh, M Hossny, A Hossny, S Nahavandi
2017 IEEE 20th International Conference on Intelligent Transportation …, 2017
192017
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