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Mohammed Bennamoun
Mohammed Bennamoun
Winthrop Professor - University of Western Australia
Verifisert e-postadresse på uwa.edu.au - Startside
Tittel
Sitert av
Sitert av
År
Deep learning for 3d point clouds: A survey
Y Guo, H Wang, Q Hu, H Liu, L Liu, M Bennamoun
IEEE transactions on pattern analysis and machine intelligence 43 (12), 4338 …, 2020
22112020
Linear regression for face recognition
I Naseem, R Togneri, M Bennamoun
IEEE transactions on pattern analysis and machine intelligence 32 (11), 2106 …, 2010
12092010
Cost-sensitive learning of deep feature representations from imbalanced data
SH Khan, M Hayat, M Bennamoun, FA Sohel, R Togneri
IEEE transactions on neural networks and learning systems 29 (8), 3573-3587, 2017
11482017
A new representation of skeleton sequences for 3d action recognition
Q Ke, M Bennamoun, S An, F Sohel, F Boussaid
Proceedings of the IEEE conference on computer vision and pattern …, 2017
10472017
A Guide to Convolutional Neural Networks for Computer Vision
S Khan, H Rahmani, SAA Shah, M Bennamoun
Synthesis Lectures on Computer Vision 8 (1), 1-207, 2018
9872018
Hands-on Bayesian neural networks—A tutorial for deep learning users
LV Jospin, H Laga, F Boussaid, W Buntine, M Bennamoun
IEEE Computational Intelligence Magazine 17 (2), 29-48, 2022
8912022
Three-dimensional model-based object recognition and segmentation in cluttered scenes
AS Mian, M Bennamoun, R Owens
IEEE transactions on pattern analysis and machine intelligence 28 (10), 1584 …, 2006
7642006
Rotational projection statistics for 3D local surface description and object recognition
Y Guo, F Sohel, M Bennamoun, M Lu, J Wan
International journal of computer vision 105, 63-86, 2013
7632013
3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey
Y Guo, M Bennamoun, F Sohel, M Lu, J Wan
PAMI- IEEE Trans. on Pattern Analysis and Machine Intelligence, 1-1, 2014
7252014
A Comprehensive Performance Evaluation of 3D Local Feature Descriptors
Y Guo, M Bennamoun, F Sohel, M Lu, J Wan, NM Kwok
IJCV-International Journal of Computer Vision, 1-24, 2015
6852015
Human action recognition from various data modalities: A review
Z Sun, Q Ke, H Rahmani, M Bennamoun, G Wang, J Liu
IEEE transactions on pattern analysis and machine intelligence 45 (3), 3200-3225, 2022
6352022
An efficient multimodal 2D-3D hybrid approach to automatic face recognition
A Mian, M Bennamoun, R Owens
IEEE transactions on pattern analysis and machine intelligence 29 (11), 1927 …, 2007
6302007
Training spiking neural networks using lessons from deep learning
JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ...
Proceedings of the IEEE, 2023
6152023
Ontology learning from text: A look back and into the future
W Wong, W Liu, M Bennamoun
ACM computing surveys (CSUR) 44 (4), 1-36, 2012
6152012
On the repeatability and quality of keypoints for local feature-based 3d object retrieval from cluttered scenes
A Mian, M Bennamoun, R Owens
International Journal of Computer Vision 89, 348-361, 2010
5352010
Trends in computer‐aided manufacturing in prosthodontics: a review of the available streams
J Abduo, K Lyons, M Bennamoun
International journal of dentistry 2014 (1), 783948, 2014
5262014
Image-based 3D object reconstruction: State-of-the-art and trends in the deep learning era
XF Han, H Laga, M Bennamoun
IEEE transactions on pattern analysis and machine intelligence 43 (5), 1578-1604, 2019
4932019
A survey on deep learning techniques for stereo-based depth estimation
H Laga, LV Jospin, F Boussaid, M Bennamoun
IEEE transactions on pattern analysis and machine intelligence 44 (4), 1738-1764, 2020
3322020
Biometrics recognition using deep learning: A survey
S Minaee, A Abdolrashidi, H Su, M Bennamoun, D Zhang
Artificial Intelligence Review 56 (8), 8647-8695, 2023
3252023
Keypoint detection and local feature matching for textured 3D face recognition
AS Mian, M Bennamoun, R Owens
International Journal of Computer Vision 79, 1-12, 2008
3222008
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Artikler 1–20