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Author

  • Mohammed Bennamoun
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

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

2017

Learning deep structured network for weakly supervised change detection

Khan, S. H., He, X., Porikli, F., Bennamoun, M., Sohel, F. & Togneri, R., 25 Aug 2017, 2017 International Joint Conference on Artificial Intelligence. Sierra, C. (ed.). Australia: International Joint Conferences on Artificial Intelligence, p. 2008-2015

Research output: Chapter in Book/Conference paperConference paper

14 Citations (Scopus)
2013

Performance Evaluation of 2D to 3D Fingerprint Recognition

Zhou, W., Petersen, I., Hu, J., Wang, S. & Bennamoun, M., 2013, Proceedings of the 2013 6th International Congress on Image and Signal Processing CISP 2013. Online: IEEE, Institute of Electrical and Electronics Engineers, Vol. 3. p. 1736-1741

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)
2012

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)
2014
2019

Bi-SAN-CAP: Bi-Directional Self-Attention for Image Captioning

Hossain, M. Z., Sohel, F., Shiratuddin, M. F., Laga, H. & Bennamoun, M., 1 Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8946003. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

Research output: Chapter in Book/Conference paperConference paper

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

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

2015

Discriminative feature learning for efficient RGB-D object recognition

Asif, U., Bennamoun, M. & Sohel, F., 2015, IEEE International Conference on Intelligent Robots and Systems. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015. p. 272-279

Research output: Chapter in Book/Conference paperConference paper

8 Citations (Scopus)
2016

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

2 Citations (Scopus)
2013

A Lip Extraction Algorithm Using Region-based ACM With Automatic Contour Initialization

Sui, C., Bennamoun, M., Togneri, R. & Haque, S., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 275-280

Research output: Chapter in Book/Conference paperConference paper

8 Citations (Scopus)
2015

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

2 Citations (Scopus)

Separating objects and clutter in indoor scenes

Khan, S. H., He, X., Bannamoun, M., Sohel, F. & Togneri, R., 2015, IEEE Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, Vol. 07-12-June-2015. p. 4603-4611

Research output: Chapter in Book/Conference paperConference paper

15 Citations (Scopus)

Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees

Asif, U., Bennamoun, M. & Sohel, F., 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-June. p. 1295-1302

Research output: Chapter in Book/Conference paperConference paper

22 Citations (Scopus)
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

Deep learning for driverless vehicles

Hodges, C., An, S., Rahmani, H. & Bennamoun, M., 1 Jan 2019, Smart Innovation, Systems and Technologies. Springer Science + Business Media, Vol. 136. p. 83-99 17 p. (Smart Innovation, Systems and Technologies; vol. 136).

Research output: Chapter in Book/Conference paperChapter

2 Citations (Scopus)
2012

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

2016

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

2 Citations (Scopus)
2015

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

2 Citations (Scopus)
2013

Message from CIT2013 Chairs

Chen, J., Cao, J., Abawajy, J. H., Mauri, J. L., Bennamoun, M., Gościński, A. M., Blumenstein, M., Wei, D. & Yang, L. T., 2013, In : Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013. p. xxiii

Research output: Contribution to journalLetter

Partial fingerprint reconstruction with improved smooth extension

Zhou, W., Hu, J., Petersen, I. & Bennamoun, M., 2013, Network and System Security. Lopez, J. & Sandhu, R. (eds.). USA: Springer, Vol. 7873 LNCS. p. 756 - 762

Research output: Chapter in Book/Conference paperConference paper

4 Citations (Scopus)
10 Downloads (Pure)
2014

Reverse training: An efficient approach for image set classification

Hayat, M., Bennamoun, M. & An, S., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8694 LNCS. p. 784-799

Research output: Chapter in Book/Conference paperConference paper

15 Citations (Scopus)
11 Downloads (Pure)
2011

Sparse Representation for View - Based Face Recognition

Naseem, I., Togneri, R. & Bennamoun, M., 2011, Advances in Face Image Analysis: Techniques and Technologies. Zhang, Y-J. (ed.). United States: IGI Global, p. 164-177

Research output: Chapter in Book/Conference paperChapter

2016

Simultaneous dense scene reconstruction and Object Labeling

Asif, U., Bennamoun, M. & Sohel, F., 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA). Kragic, D. & Okamura, A. (eds.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2255-2262 8 p. 7487374

Research output: Chapter in Book/Conference paperConference paper

8 Citations (Scopus)
2013

3D-Div: A novel local surface descriptor for feature matching and pairwise range image registration

Shah, S. A., Bennamoun, M., Boussaid, F. & El-Sallam Abd, A., 2013, Proceedings of 20th IEEE International Conference on Image Processing (ICIP), 2013. Australia: IEEE, Institute of Electrical and Electronics Engineers, Vol. nil. p. 2934-2938

Research output: Chapter in Book/Conference paperConference paper

20 Citations (Scopus)
2015

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

4 Citations (Scopus)
2013

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

17 Citations (Scopus)
2019

Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition

Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Schindler, K. & Jawahar, C. V. (eds.). Springer-Verlag Berlin, p. 729-745 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11364 LNCS).

Research output: Chapter in Book/Conference paperConference paper

Open Access
3 Citations (Scopus)
2017

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

7 Citations (Scopus)
2011

Geometric Distortion Measurement for Shape Coding: A Contemporary Review

Sohel, F., Karmakar, G. C., Dooley, L. S. & Bennamoun, M., 2011, In : ACM Computing Surveys. 43, 4, p. 1-22

Research output: Contribution to journalArticle

7 Citations (Scopus)
2012

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)
2014

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)
2016

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)
2019

LCEval: Learned Composite Metric for Caption Evaluation

Sharif, N., White, L., Bennamoun, M., Liu, W. & Shah, S. A. A., Oct 2019, In : International Journal of Computer Vision. 127, 10, p. 1586-1610

Research output: Contribution to journalArticle

2016
17 Citations (Scopus)
10 Downloads (Pure)
2017
7 Citations (Scopus)
2019

ResFeats: Residual network based features for underwater image classification

Mahmood, A., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 1 Nov 2019, In : Image and Vision Computing. 103811.

Research output: Contribution to journalArticle

4 Citations (Scopus)
2016
5 Citations (Scopus)
2015

A Unified Framework for Brain Segmentation in MR Images

Yazdani, S., Yusof, R., Karimian, A., Riazi, A. H. & Bennamoun, M., 2015, In : Computational and Mathematical Methods in Medicine. 2015, p. 829893

Research output: Contribution to journalArticle

8 Citations (Scopus)
2019

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

4 Citations (Scopus)

Deep learning-based 3D local feature descriptor from Mercator projections

Rezaei, M., Rezaeian, M., Derhami, V., Sohel, F. & Bennamoun, M., Oct 2019, In : Computer Aided Geometric Design. 74, 101771.

Research output: Contribution to journalArticle

1 Citation (Scopus)
2015
1 Citation (Scopus)
2014

Performance evaluation of large 3D fingerprint databases

Zhou, W., Hu, J., Wang, S., Petersen, I. & Bennamoun, M., 2014, In : Electronics Letters. 50, 15, p. 1060-1061

Research output: Contribution to journalArticle

7 Citations (Scopus)
2017

ECMSRC: A sparse learning approach for the prediction of extracellular matrix proteins

Naseem, I., Khan, S., Togneri, R. & Bennamoun, M., 1 Aug 2017, In : Current Bioinformatics. 12, 4, p. 361-368 8 p.

Research output: Contribution to journalArticle

18 Citations (Scopus)
2020

Automatic hierarchical classification of kelps using deep residual features

Mahmood, A., Ospina, A. G., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Fisher, R. B. & Kendrick, G. A., 2 Jan 2020, In : Sensors (Switzerland). 20, 2, 447.

Research output: Contribution to journalArticle

Open Access
2 Citations (Scopus)

Topology-learnable graph convolution for skeleton-based action recognition

Zhu, G., Zhang, L., Li, H., Shen, P., Shah, S. A. A. & Bennamoun, M., Jul 2020, In : Pattern Recognition Letters. 135, p. 286-292 7 p.

Research output: Contribution to journalArticle

2012

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

101 Citations (Scopus)
2014

Trends in computer-aided manufacturing in prosthodontics: A review of the available streams

Abduo, J., Lyons, K. M. & Bennamoun, M., 2014, In : International Journal of Dentistry. 2014, p. 1-15

Research output: Contribution to journalArticle

Open Access
70 Citations (Scopus)
2017

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

33 Citations (Scopus)