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Author

  • Mohammed Bennamoun

2D and 3D face recognition using convolutional neural network

Hu, H., Shah, S. A. A., Bennamoun, M. & Molton, M., 19 Dec 2017, TENCON 2017 - 2017 IEEE Region 10 Conference. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-December. p. 133-138 6 p.

Research output: Chapter in Book/Conference paperConference paper

8 Citations (Scopus)

3-D face recognition using curvelet local features

Elaiwat, S., Bennamoun, M., Boussaïd, F. & El-Sallam, A., Feb 2014, In : IEEE Signal Processing Letters. 21, 2, p. 172-175 4 p.

Research output: Contribution to journalArticle

39 Citations (Scopus)

3D object recognition in cluttered scenes with local surface features: A survey

Guo, Y., Bennamoun, M., Sohel, F., Lu, M. & Wan, J., 1 Nov 2014, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 36, 11, p. 2270-2287 18 p.

Research output: Contribution to journalArticle

324 Citations (Scopus)
12 Downloads (Pure)

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

A 3D Audio-visual Corpus for Speech Recognition

Sui, C., Haque, S., 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. 125-128

Research output: Chapter in Book/Conference paperConference paper

A benchmark 3D fingerprint database

Zhou, W., Hu, J., Petersen, I. R., Wang, S. & Bennamoun, M., 2014, 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014. IEEE, Institute of Electrical and Electronics Engineers, p. 935-940

Research output: Chapter in Book/Conference paperConference paper

10 Citations (Scopus)

A Cascade Gray-Stereo Visual Feature Extraction Method For Visual and Audio-Visual Speech Recognition

Sui, C., Togneri, R. & Bennamoun, M., Jun 2017, In : Speech Communication. 90, p. 26-38 13 p.

Research output: Contribution to journalArticle

Open Access
File
6 Citations (Scopus)
231 Downloads (Pure)

A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. & Kwok, N. M., Jan 2016, In : International Journal of Computer Vision. 116, 1, p. 66-89

Research output: Contribution to journalArticle

244 Citations (Scopus)
11 Downloads (Pure)

A confidence-based late fusion framework for audio-visual biometric identification

Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 15 Jan 2015, In : Pattern Recognition Letters. 52, p. 65-71

Research output: Contribution to journalArticle

Open Access
File
20 Citations (Scopus)
377 Downloads (Pure)

A Curvelet-based approach for textured 3D face recognition

Elaiwat, S., Bennamoun, M., Boussaïd, F. & El-Sallam Abd, A., Apr 2015, In : Pattern Recognition. 48, 4, p. 1235-1246

Research output: Contribution to journalArticle

43 Citations (Scopus)
11 Downloads (Pure)

A deep neural network for audio-visual person recognition

Alam, M. R., Bennamoun, M., Togneri, R. & Sohel, F., 2015, Biometrics Theory, Applications and Systems (BTAS), 2015 IEEE 7th International Conference . USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1-6

Research output: Chapter in Book/Conference paperConference paper

6 Citations (Scopus)

A Discriminative Representation of Convolutional Features for Indoor Scene Recognition

Khan, S., Hayat, M., Bennamoun, M., Togneri, R. & Sohel, F. A., Jul 2016, In : IEEE Transactions on Image Processing. 25, 7, p. 3372-3383

Research output: Contribution to journalArticle

44 Citations (Scopus)

A Fractional Gradient Descent-Based RBF Neural Network

Khan, S., Naseem, I., Malik, M. A., Togneri, R. & Bennamoun, M., Dec 2018, In : Circuits, Systems and Signal Processing. 37, 12, p. 5311-5332 22 p.

Research output: Contribution to journalArticle

11 Citations (Scopus)

A Fully Automatic Framework for Prediction of 3D Facial Rejuvenation

Shah, S. & Bennamoun, M., 4 Feb 2019, 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, 6 p. 8634657

Research output: Chapter in Book/Conference paperConference paper

A Guide to Convolutional Neural Networks for Computer Vision

Khan, S., Rahmani, H., Shah, S. A. A. & Bennamoun, M., 2018, Morgan & Claypool Publishers. 207 p. (Synthesis Lectures on Computer Vision; vol. 8, no. 1)

Research output: Book/ReportBook

12 Citations (Scopus)

A low-cost implementation of a 360° vision distributed aperture system

Peng, X., Bennamoun, M., Wang, Q., Ma, Q. & Xu, Z., 2015, In : IEEE Transactions on Circuits and Systems for Video Technology. 25, 2, p. 225-238

Research output: Contribution to journalArticle

3 Citations (Scopus)

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

A model-free approach for the segmentation of unknown objects

Asif, U., Bennamoun, M. & Sohel, F., 2014, IEEE/RSJ International Conference on Intelligent Robots and Systems. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 4914-4921

Research output: Chapter in Book/Conference paperConference paper

8 Citations (Scopus)
13 Citations (Scopus)

An accurate and robust range image registration algorithm for 3D object modeling

Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., Aug 2014, In : IEEE Transactions on Multimedia. 16, 5, p. 1377-1390

Research output: Contribution to journalArticle

88 Citations (Scopus)

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

28 Citations (Scopus)
10 Downloads (Pure)

An efficient 3D face recognition approach using local geometrical signatures

Lei, Y., Bennamoun, M., Hayat, M. & Guo, Y., Feb 2014, In : Pattern Recognition. 47, 2, p. 509-524 16 p.

Research output: Contribution to journalArticle

71 Citations (Scopus)
10 Downloads (Pure)

A new representation of skeleton sequences for 3D action recognition

Ke, Q., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 2017, Proceedings: 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 4570-4579

Research output: Chapter in Book/Conference paperConference paper

Open Access
165 Citations (Scopus)

An HMM-SVM-Based Automatic Image Annotation Approach

Lei, Y., Wong, W., Liu, W. & Bennamoun, M., 2011, Computer Vision - ACCV 2010. Germany: Springer, Vol. 6495. p. 115-126

Research output: Chapter in Book/Conference paperConference paper

4 Citations (Scopus)

An Improved Approach to Weakly Supervised Semantic Segmentation

Xu, L., Bennamoun, M., An, S., Boussaid, F. & Sohel, F., 2019, International Conference on Acoustics, Speech, and Signal Processing (ICASSP). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1897-1901 8682788

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

An Improved Colour-to-Grey Method Using Image Segmentation and the Colour Difference Model for Colour Vision Deficiency

Zhang, L., Xu, Q., Zhu, G., Song, J., Zhang, X., Shen, P., Wei, W., Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : IET Image Processing. 12, 3, p. 314 – 319 6 p.

Research output: Contribution to journalArticle

8 Citations (Scopus)
34 Citations (Scopus)
Open Access
File
19 Citations (Scopus)
348 Downloads (Pure)

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

20 Citations (Scopus)

A novel algorithm for efficient depth segmentation using low resolution (Kinect) images

Shah, S. A., Bennamoun, M. & Boussaid, F., 2015, IEEE Conference on Industrial Electronics and Applications. Online: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 603-607

Research output: Chapter in Book/Conference paperConference paper

8 Citations (Scopus)

A Novel Approach to Calculate Body Segments Inertial Parameters from DXA and 3D Scanners Data

Mourao Rossi, M., El-Sallam Abd, A., Benjanuvatra, N., Lyttle, A., Blanksby, B. & Bennamoun, M., 2012, Proceedings of the 4th International Conference on Computational Methods (ICCM2012). Australia: ICCM, Vol. 1. p. 1-9

Research output: Chapter in Book/Conference paperConference paper

16 Citations (Scopus)
10 Downloads (Pure)

A novel local surface feature for 3D object recognition under clutter and occlusion

Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 1 Feb 2015, In : Information Sciences. 293, p. 196-213

Research output: Contribution to journalArticle

Open Access
File
71 Citations (Scopus)
420 Downloads (Pure)

An RGB-D based image set classification for robust face recognition from Kinect data

Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 1 Jan 2016, In : Neurocomputing. 171, p. 889-900

Research output: Contribution to journalArticle

17 Citations (Scopus)

A pitfall in fingerprint bio-cryptographic key generation

Zhang, P., Hu, J. K., Li, C., Bennamoun, M. & Bhagavatula, V., 2011, In : Computers & Security. 30, 5, p. 311-319

Research output: Contribution to journalArticle

32 Citations (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

3 Citations (Scopus)

A review of Recent Advances in 3D ear and Expression Invariant Face Biometrics

Islam, S., Bennamoun, M., Owens, R. & Davies, R., 2012, In : ACM Computing Surveys. 44, 3, p. 1-40 14.

Research output: Contribution to journalArticle

22 Citations (Scopus)
12 Downloads (Pure)

A robust variable step size fractional least mean square (RVSS-FLMS) algorithm

Khan, S., Usman, M., Naseem, I., Togneri, R. & Bennamoun, M., 2017, Proceedings - 2017 IEEE 13th International Colloquium on Signal Processing and its Applications, CSPA 2017. Taib, M. N. (ed.). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8064914

Research output: Chapter in Book/Conference paperConference paper

6 Citations (Scopus)

A semantic RBM-based model for image set classification

Elaiwat, S., Bennamoun, M. & Boussaid, F., 12 Sep 2016, In : Neurocomputing. 205, p. 507-518

Research output: Contribution to journalArticle

8 Citations (Scopus)

A spatial layout and scale invariant feature representation for indoor scene classification

Hayat, M., Khan, S. H., Bennamoun, M. & An, S., Oct 2016, In : IEEE Transactions on Image Processing. 25, 10, p. 4829-4841

Research output: Contribution to journalArticle

Open Access
File
26 Citations (Scopus)
442 Downloads (Pure)

A spatio-temporal RBM-based model for facial expression recognition

Elaiwat, S., Bennamoun, M. & Boussaid, F., Jan 2016, In : Pattern Recognition. 49, p. 152-161

Research output: Contribution to journalArticle

36 Citations (Scopus)
10 Downloads (Pure)

A structured template based 3D face recognition approach

Lei, Y., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 27th Conference on Image and Vision Computing New Zealand. USA: Association for Computing Machinery (ACM), Vol. 1. p. 61-66

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

A Training-Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvenation

Shah, S., Bennamoun, M. & Molton, M., 7 Feb 2019, 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, 8634685. (International Conference Image and Vision Computing New Zealand; vol. 2018-November).

Research output: Chapter in Book/Conference paperConference paper

A training-free nose tip detection method from face range images

Peng, X., Bennamoun, M. & Mian, A., Mar 2011, In : Pattern Recognition. 44, 3, p. 544-558

Research output: Contribution to journalArticle

38 Citations (Scopus)
9 Downloads (Pure)

Attention in Convolutional LSTM for Gesture Recognition

Shah, S., Bennamoun, M. & Zhang, L., 1 Oct 2018, In : Advances in Neural Information Processing Systems.

Research output: Contribution to journalConference article

9 Citations (Scopus)

A Two-Phase Weighted Collaborative Representation for 3D partial face recognition with single sample

Lei, Y., Guo, Y., Hayat, M., Bennamoun, M. & Zhou, X., 2016, In : Pattern Recognition. 52, p. 218-237 20 p.

Research output: Contribution to journalArticle

51 Citations (Scopus)

Audio-Visual Biometric Recognition Via Joint Sparse Representations

Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 2016, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR). Bayro-Corrochano, E. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3026-3030

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)
12 Downloads (Pure)