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2012
9 Citations (Scopus)

Evaluation of Spatiotemporal Detectors and Descriptors for Facial Expression Recognition

Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 5th International Conference on Human System Interaction. Australia: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 43-47

Research output: Chapter in Book/Conference paperConference paper

2015
3 Citations (Scopus)

Contractive Rectifier Networks for Nonlinear Maximum Margin Classification

An, S., Hayat, M., Khan, S. H., Bennamoun, M., Boussaid, F. & Sohel, F., 2015, 2015 IEEE International Conference on Computer Vision (ICCV). Chile: IEEE, Institute of Electrical and Electronics Engineers, p. 2515-2523

Research output: Chapter in Book/Conference paperConference paper

2017
27 Citations (Scopus)

Keypoints-based surface representation for 3D modeling and 3D object recognition

Shah, S. A. A., Bennamoun, M. & Boussaid, F., 1 Apr 2017, In : Pattern Recognition. 64, p. 29-38 10 p.

Research output: Contribution to journalArticle

Object recognition
Image registration
MATLAB
Tensors
Computational complexity
2013
1 Citation (Scopus)

A low cost visual hull based markerless system for the optimization of athletic techniques in outdoor environments

El-Sallam, A., Bennamoun, M., Sohel, F., Alderson, J., Lyttle, A. & Warburton, T., 2013, GRAPP & IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications. Spain: Scitepress, Vol. 1. p. 49-59

Research output: Chapter in Book/Conference paperConference paper

2011
2 Citations (Scopus)

Spatial Shape Error Concealment Utilising Image Texture

Sohel, F., Bennamoun, M. & Hahn, M., 2011, The Proceedings of the 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA). Singapore: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 265-270

Research output: Chapter in Book/Conference paperConference paper

Image texture
Image matching
Independent component analysis
Metadata
2017

Deep neural networks for mobile person recognition with audio-visual signals

Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., Sep 2017, Mobile Biometrics. Guo, G. & Wechsler, H. (eds.). London: The Institution of Engineering and Technology, p. 97-129 (IET Book Series on Advances in Biometrics).

Research output: Chapter in Book/Conference paperChapter

Biometrics
Face recognition
Mobile phones
Deep neural networks
2015
2 Citations (Scopus)

Outdoor scene labelling with learned features and region consistency activation

Li, Y., Sohel, F., Bennamoun, M. & Lei, H., 2015, Proceedings - International Conference on Image Processing, ICIP. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-December. p. 1374-1378

Research output: Chapter in Book/Conference paperConference paper

Labeling
Chemical activation
Labels
Neural networks
2019

3D Shape Analysis: Fundamentals, Theory, and Applications

Laga, H., Guo, Y., Tabia, H., Fisher, R. & Bennamoun, M., 2019, Wiley-Blackwell. 368 p.

Research output: Book/ReportBook

2018

Generalized joint sparse representation for multimodal biometric fusion of heterogeneous features

Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 2018.

Research output: Contribution to conferenceConference presentation/ephemera

NovelPerspective: Identifying Point of View Characters

White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations. Melbourne: Association for Computational Linguistics, Vol. 2. p. 7-12 6 p.

Research output: Chapter in Book/Conference paperConference paper

2012

A Model-based Approach to Speaker Identification using Class-specific Dictionaries

Naseem, I., Togneri, R. & Bennamoun, M., 2012, Proceedings of the 14th Australasian International Conference on Speech Science and Technology. Australia: Australasian Speech Science and Technology Association Inc, Vol. 14. p. 57-60

Research output: Chapter in Book/Conference paperConference paper

2015
2 Citations (Scopus)

Heterogeneous multi-column ConvNets with a fusion framework for object recognition

Li, Y., Sohel, F., Bennamoun, M. & Lei, H., 2015, 2015 IEEE Winter Conference on Applications of Computer Vision. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 773-780

Research output: Chapter in Book/Conference paperConference paper

Object recognition
Fusion reactions
Optical character recognition
2013
2 Citations (Scopus)

3D Face Surface Analysis and Recognition Based on Facial Surface Features

Al-Osaimi, F. R. M. & Bennamoun, M., 2013, 3D Face Modeling, Analysis and Recognition. Daoudi, M., Srivastava, A. & Veltkamp, R. (eds.). Australia: John Wiley & Sons, Vol. nil. p. 39-76

Research output: Chapter in Book/Conference paperChapter

2016
Open Access
Rejuvenation
Cosmetics
Medicine
Outcome Assessment (Health Care)
X Ray Computed Tomography
2 Citations (Scopus)

Visual Speech Feature Representations: Recent Advances

Sui, C., Bennamoun, M. & Togneri, R., 2016, Advances in Face Detection and Facial Image Analysis. Kawulok, M., Celebi, E. & Smolka, B. (eds.). USA: Springer US, p. 377-396 20 p.

Research output: Chapter in Book/Conference paperChapter

9 Citations (Scopus)
Mobile phones
Identification (control systems)
Image recognition
Bayesian networks
Support vector machines
2010
7 Citations (Scopus)

Drift-correcting template update strategy for precision feature point tracking

Peng, X., Bennamoun, M., Ma, Q. A., Lei, Y., Zhang, Q. H. & Chen, W. F., 2010, In : Image and Vision Computing. 28, p. 1280-1292

Research output: Contribution to journalArticle

2019
1 Citation (Scopus)

Enhanced q-least Mean Square

Sadiq, A., Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 26 Mar 2019, In : Circuits, Systems, and Signal Processing. 23 p.

Research output: Contribution to journalArticle

Least Mean Square
Q-calculus
Stochastic Gradient
Learning Rate
Gradient Algorithm
2012
95 Citations (Scopus)

Robust regression for face recognition

Naseem, I., Togneri, R. & Bennamoun, M., 2012, In : Pattern Recognition. 45, 1, p. 104-118

Research output: Contribution to journalArticle

Face recognition
Linear regression
Lighting
Pixels
Speckle
2018

Neural Representations of Natural Language

White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, 1 ed. Austria: Springer. 122 p. (Studies in Computational Intelligence; vol. 783)

Research output: Book/ReportBook

Neural networks
Recurrent neural networks
Byproducts
2012
10 Citations (Scopus)

On XCSR for electronic fraud detection

Behdad, M., Barone, L., French, T. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 139-150

Research output: Contribution to journalArticle

5 Citations (Scopus)

On principal component analysis for high-dimensional XCSR

Behdad, M., French, T., Barone, L. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 129-138

Research output: Contribution to journalArticle

2016
2 Citations (Scopus)

Forward-looking sonar image registration using polar transform

Zhang, J., Sohel, F., Bian, H., Bennamoun, M. & An, S., 28 Nov 2016, OCEANS 2016 MTS/IEEE Monterey, OCE 2016. IEEE, Institute of Electrical and Electronics Engineers, 7761052

Research output: Chapter in Book/Conference paperConference paper

sonar
Image registration
Sonar
transform
fovea
2019

Learning-Based Confidence Estimation for Multi-modal Classifier Fusion

Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., 15 Dec 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings: part II. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Australia: Springer, p. 299-312 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11954 LNCS).

Research output: Chapter in Book/Conference paperConference paper

Classifier Fusion
Confidence
Classifiers
Fusion reactions
Modality
2013
20 Citations (Scopus)
10 Downloads (Pure)

3D Free form Object Recognition Using Rotational Projection Statistics

Guo, Y., Bennamoun, M., Sohel, F., Wan, J. & Lu, M., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1-8

Research output: Chapter in Book/Conference paperConference paper

16 Citations (Scopus)

A Novel Local Surface Description for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes

Shah, S. A., Bennamoun, M., Boussaid, F. & El-Sallam Abd, A., 2013, Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops (ICCVW),. Australia: IEEE, Institute of Electrical and Electronics Engineers, Vol. nil. p. 638-643

Research output: Chapter in Book/Conference paperConference paper

2010

Localised Fusion of Shape and Appearance Features for 3D Human Pose Estimation

Sedai, S., Bennamoun, M. & Huynh, D., 2010, Proceedings of the British Machine Vision Conference 2010. Labrosse, F., Zwiggelaar, R., Liu, Y. & Tiddeman, B. (eds.). Aberystwyth UK ed. http://dx.doi.org/10.5244/C.24.51: BMVA Press, Vol. 1. p. 1-10

Research output: Chapter in Book/Conference paperConference paper

2011
4 Citations (Scopus)

Supervised particle filter for tracking 2D human pose in monocular video

Sedai, S., Huynh, D. & Bennamoun, M., 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV 2011) . United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 367-373

Research output: Chapter in Book/Conference paperConference paper

2019

Automated segmentation of gravel particles from depth images of gravel-soil mixtures

Rahmani, H., Scanlan, C., Nadeem, U., Bennamoun, M. & Bowles, R., Jul 2019, In : Computers & Geosciences. 128, p. 1-10 10 p.

Research output: Contribution to journalArticle

Open Access
2018

Three-dimensional scanning for measurement of bulk density in gravelly soils

Scanlan, C. A., Rahmani, H., Bowles, R. & Bennamoun, M., 1 Sep 2018, In : Soil Use and Management. 34, 3, p. 380-387 8 p.

Research output: Contribution to journalArticle

Open Access
gravelly soils
void
casts (medical)
bulk density
Scanning
2014
52 Citations (Scopus)

Automatic Feature Learning for Robust Shadow Detection

Khan, S. H., Bennamoun, M., Sohel, F. & Togneri, R., 2014, IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1939-1946

Research output: Chapter in Book/Conference paperConference paper

2017
1 Citation (Scopus)

Scale space clustering evolution for salient region detection on 3D deformable shapes

Wang, X., Sohel, F., Bennamoun, M., Guo, Y. & Lei, H., 1 Nov 2017, In : Pattern Recognition. 71, p. 414-427 14 p.

Research output: Contribution to journalArticle

2015
1 Citation (Scopus)

Sign Constrained Rectifier Networks with Applications to Pattern Decompositions

An, S., Ke, Q., Bennamoun, M., Boussaid, F. & Sohel, F., 2015, Machine Learning and Knowledge Discovery in Databases. Appice, A., Rodrigues, P. P., Costa, V. S., Soares, C., Gama, J. & Jorge, A. (eds.). Switzerland: Springer, Vol. Part 1. p. 546-559

Research output: Chapter in Book/Conference paperConference paper

2014
26 Citations (Scopus)
10 Downloads (Pure)

An automatic framework for textured 3D video-based facial expression recognition

Hayat, M. & Bennamoun, M., Jul 2014, In : IEEE Transactions on Affective Computing. 5, 3, p. 301-313

Research output: Contribution to journalArticle

Hilbert spaces
Clustering algorithms
Fusion reactions
2015

Feature selection for 2D and 3D face recognition

Bennamoun, M., Guo, Y. & Sohel, F., 15 Jun 2015, Wiley encyclopedia of electrical and electronics engineering. Kurzman, B. (ed.). Hoboken, NJ: John Wiley & Sons

Research output: Chapter in Book/Conference paperEntry for encyclopedia/dictionary

Face recognition
Feature extraction
Virtual reality
Data acquisition
Fusion reactions
2018
1 Citation (Scopus)

Application of Artificial Intelligence in Coronary Computed Tomography Angiography

Selvarajah, A., Bennamoun, M., Playford, D., Chow, B. J. W. & Dwivedi, G., 1 Jun 2018, In : Current Cardiovascular Imaging Reports. 11, 6, 12.

Research output: Contribution to journalReview article

Artificial Intelligence
Myocardial Fractional Flow Reserve
Data Mining
Automation
Coronary Artery Disease
2019

Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study

Owaidah, A., Olaru, D., Bennamoun, M., Sohel, F. & Khan, N., 31 Mar 2019, In : JASSS. 22, 2, 36 p., 9.

Research output: Contribution to journalArticle

Open Access
2015
5 Citations (Scopus)

Quantitative error analysis of bilateral filtering

An, S., Boussaïd, F., Bennamoun, M. & Sohel, F., 2015, In : IEEE Signal Processing Letters. 22, 2, p. 202-206

Research output: Contribution to journalArticle

Quantitative Analysis
Error Analysis
Error analysis
Interpolation
Filtering
2010

On the Problems of Using Learning Classifier Systems for Fraud Detection

Behdad, M., French, T., Barone, L. & Bennamoun, M., 2010, Genetic and Evolutionary Computation Conference 2010 Proceedings. Branke, J. (ed.). Portland USA ed. New York USA: Association for Computing Machinery (ACM), Vol. 1. p. 1067-1068

Research output: Chapter in Book/Conference paperConference paper

2017
8 Citations (Scopus)
Fusion reactions
Human robot interaction
Optical flows
Long short-term memory
14 Citations (Scopus)

A Novel Adaptive Kernel for the RBF Neural Networks

Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 1 Apr 2017, In : Circuits, Systems, and Signal Processing. 36, 4, p. 1639-1653 15 p.

Research output: Contribution to journalArticle

RBF Neural Network
kernel
Neural networks
Electric fuses
Nonlinear systems
2016
16 Citations (Scopus)

Human interaction prediction using deep temporal features

Ke, Q., Bennamoun, M., An, S., Boussaid, F. & Sohel, F., 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Hua, G. & Jegou, H. (eds.). Springer-Verlag London Ltd., Vol. 9914 LNCS. p. 403-414 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9914 LNCS).

Research output: Chapter in Book/Conference paperConference paper

Image coding
Prediction
Interaction
Image Coding
Network architecture
2015
8 Citations (Scopus)

Extracting deep bottleneck features for visual speech recognition

Sui, C., Togneri, R. & Bennamoun, M., 2015, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-August. p. 1518-1522

Research output: Chapter in Book/Conference paperConference paper

Speech recognition
Acoustics
2010
3 Citations (Scopus)

An investigation of Real-Valued Accuracy-based Learning Classifier Systems for Electronic Fraud Detection

Behdad, M., Barone, L., French, T. & Bennamoun, M., 2010, Genetic and Evolutionary Computation Conference 2010 Proceedings. Branke, J. (ed.). Portland USA ed. New York USA: Association for Computing Machinery (ACM), Vol. 1. p. 1893-1900

Research output: Chapter in Book/Conference paperConference paper

2017
27 Citations (Scopus)

Learning Action Recognition Model from Depth and Skeleton Videos

Rahmani, H. & Bennamoun, M., 22 Dec 2017, Proceedings of the 2017 IEEE International Conference on Computer Vision, ICCV 2017. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-October. p. 5833-5842 10 p. 8237883

Research output: Chapter in Book/Conference paperConference paper

Sensors
2018

Efficient finer-grained incremental processing with MapReduce for big data

Zhang, L., Feng, Y., Shen, P., Zhu, G., Wei, W., Song, J., Ali Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : Future Generation Computer Systems. 80, p. 102-111 10 p.

Research output: Contribution to journalArticle

Distributed computer systems
Cluster computing
Processing
Information technology
Wear of materials
2013
11 Citations (Scopus)

Discriminative fusion of shape and appearance features for human pose estimation

Sedai, S., Bennamoun, M. & Huynh, D., 2013, In : Pattern Recognition. 46, 12, p. 3223-3237

Research output: Contribution to journalArticle

Fusion reactions
2015
10 Citations (Scopus)
10 Downloads (Pure)

How can deep rectifier networks achieve linear separability and preserve distances?

An, S., Boussaid, F. & Bennamoun, M., 2015, Proceedings of The 32nd International Conference on Machine Learning. International Machine Learning Society, Vol. 37. p. 514-523

Research output: Chapter in Book/Conference paperConference paper

Linear networks
Classifiers
Neural networks
2010

An Ontology-based Interface for Improving Information Exploration

Wong, W., Liu, W. & Bennamoun, M., 2010, Proceedings of the First International Workshop on Intelligent Visual Interfaces for Text Analysis. Liu, S., Zhou, M. X., Carenini, G. & Qu, H. (eds.). Hong Kong ed. New York USA: Association for Computing Machinery (ACM), Vol. 1. p. 29-32

Research output: Chapter in Book/Conference paperConference paper

2013
10 Citations (Scopus)

Linear Regression-based Classifier for audio visual person identification

Alam, M., Togneri, R., Sohel, F., Bennamoun, M. & Naseem, I., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 5pp

Research output: Chapter in Book/Conference paperConference paper