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  • Mohammed Bennamoun

A Three Dimensional Imaging-based Framework for Planning Maxillomandibular Advancement Surgery for the Treatment of Obstructive Sleep Apnoea

Islam, S. M. S., Lucey, A. D., Cisonni, J., Goonewardene, M., Bennamoun, M., Farella, M. & Abduo, J., 2013, Proceedings 2013 4th World Congress on Software Engineering (WCSE 2013). USA: CPS, p. 301-306

Research output: Chapter in Book/Conference paperConference paper

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)

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

7 Citations (Scopus)

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
2 Citations (Scopus)

Automatic 3D Face Landmark Localization Based on 3D Vector Field Analysis

Shah, S. A. A., Bennamoun, M. & Boussaid, F., 2015, 2015 International Conference on Image and Vision Computing New Zealand (IVCNZ). Auckland, NZ: Wiley-IEEE Press

Research output: Chapter in Book/Conference paperConference paper

Automatic annotation of coral reefs using deep learning

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R. B., 28 Nov 2016, OCEANS 2016 MTS/IEEE Monterey, OCE 2016. Zande, J. & Kirkwood, B. (eds.). IEEE, Institute of Electrical and Electronics Engineers, 7761105

Research output: Chapter in Book/Conference paperConference paper

16 Citations (Scopus)

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)

Automatic object detection using objectness measure

Shah, S. A. A., Bennamoun, M., Boussaid, F. & El-Sallam, A., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 6pp

Research output: Chapter in Book/Conference paperConference paper

10 Citations (Scopus)

Automatic shadow detection and removal from a single image

Khan, S. H., Bennamoun, M., Sohel, F. & Togneri, R., 1 Mar 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 3, p. 431-446 16 p.

Research output: Contribution to journalArticle

Open Access
File
103 Citations (Scopus)
626 Downloads (Pure)

Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis

Wang, X., Sohel, F., Bennamoun, M. & Lei, H., 2016, Pacific-Rim Symposium on Image and Video Technology. Bräunl, T., McCane, B., Rivera, M. & Yu, X. (eds.). USA: Springer, p. 751-761 11 p. (Lecture Notes in Computer Science ; vol. 9431).

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)

Biometric security for mobile computing

Hu, J., Bhagavatula, V., Bennamoun, M. & Toh, K-A., 2011, In : Security and Communication Networks. 4, 5, p. 483-486

Research output: Contribution to journalLetter

2 Citations (Scopus)

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

Classification of corals in reflectance and fluorescence images using convolutional neural network representations

Xu, L., Bennamoun, M., An, S., Sohe, F. & Boussaid, F., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2018-April. p. 1493-1497 5 p. 8462574

Research output: Chapter in Book/Conference paperConference paper

4 Citations (Scopus)

Clustering of Video Patches on Grassmannian Manifold for Facial Expression Recognition from 3D Videos

Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 83-88

Research output: Chapter in Book/Conference paperConference paper

10 Citations (Scopus)

Color vision deficiency datasets & recoloring evaluation using GANs

Li, H., Zhang, L., Zhang, X., Zhang, M., Zhu, G., Shen, P., Li, P., Bennamoun, M. & Shah, S. A. A., 28 Jul 2020, In : Multimedia Tools and Applications.

Research output: Contribution to journalArticle

Computer Vision for Human-Machine Interaction

Ke, Q., Liu, J., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 2018, Computer Vision for Assistive Healthcare. Marco, L. & Farinella, G. M. (eds.). Academic Press, p. 127-145

Research output: Chapter in Book/Conference paperChapter

7 Citations (Scopus)

Constructing specialised corpora through analysing domain representativeness of websites

Wong, W., Liu, W. & Bennamoun, M., 2011, In : Language Resources and Evaluation. 45, 2, p. 209-241

Research output: Contribution to journalArticle

3 Citations (Scopus)

Continuous Gesture Segmentation and Recognition using 3DCNN and Convolutional LSTM

Zhu, G., Zhang, L., Shen, P., Song, J., Shah, S. A. A. & Bennamoun, M., Apr 2019, In : IEEE Transactions on Multimedia. p. 1011-1021

Research output: Contribution to journalArticle

7 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

4 Citations (Scopus)

Coral classification using densenet and cross-modality transfer learning

Xu, L., Bennamoun, M., Boussaid, F., An, S. & Sohel, F., 2019, International Joint Conference on Neural Networks (IJCNN) . USA: IEEE, Institute of Electrical and Electronics Engineers

Research output: Chapter in Book/Conference paperConference paper

Coral classification with hybrid feature representations

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R., 2016, 2016 IEEE International Conference on Image Processing . Karam, L. (ed.). USA: Wiley-IEEE Press, p. 519-523 5 p.

Research output: Chapter in Book/Conference paperConference paper

33 Citations (Scopus)

Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

Khan, S. H., Hayat, M., Bennamoun, M., Sohel, F. A. & Togneri, R., 17 Aug 2017, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3573-3587

Research output: Contribution to journalArticle

137 Citations (Scopus)

Deep Boltzmann Machines for i-Vector Based Audio-Visual Person Identification

Alam, M. R., Bennamoun, M., Togneri, R. & Sohel, F., 2016, Image and Video Technology, PSIVT 2015. Bräunl, T., McCane, B., Rivera, M. & Yu, X. (eds.). USA: Springer-Verlag London Ltd., Vol. 9431. p. 631-641 11 p. (Lecture Notes in Computer Science).

Research output: Chapter in Book/Conference paperConference paper

3 Citations (Scopus)
7 Citations (Scopus)

Deep Fusion Net for Coral Classification in Fluorescence and Reflectance Images

Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8945925. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

Research output: Chapter in Book/Conference paperConference paper

Deep Image Representations for Coral Image Classification

Mahmood, A., Bennamoun, M., An, S., Sohel, F. A., Boussaid, F., Hovey, R., Kendrick, G. A. & Fisher, R. B., 12 Jan 2018, In : IEEE Journal of Oceanic Engineering. 11 p.

Research output: Contribution to journalArticle

Open Access
File
12 Citations (Scopus)
340 Downloads (Pure)

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)

Deep Learning for Coral Classification

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R., 2017, Handbook of Neural Computation. Samui, P., Roy, S. S. & Balas, V. E. (eds.). London: Academic Press, p. 383-401

Research output: Chapter in Book/Conference paperChapter

9 Citations (Scopus)

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)

Deep learning for marine species recognition

Xu, L., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 1 Jan 2019, Handbook of Deep Learning Applications. Bales, V. E., Roy, S. S., Sharma, D. & Samui, P. (eds.). USA: Springer Science + Business Media, p. 129-145 17 p. (Smart Innovation, Systems and Technologies; vol. 136).

Research output: Chapter in Book/Conference paperChapter

4 Citations (Scopus)

Deep learning for scene understanding

Nadeem, U., Shah, S. A. A., Sohel, F., Togneri, R. & Bennamoun, M., 19 Mar 2019, Handbook of deep learning applications. Balas, V. E., Roy, S. S., Sharma, D. & Samui, P. (eds.). Cham: Springer, p. 21-51 27 p. (Smart Innovation, Systems and Technologies; vol. 136).

Research output: Chapter in Book/Conference paperChapter

2 Citations (Scopus)

Deep learning on underwater marine object detection: a survey

Moniruzzaman, M., Islam, S. M. S., Bennamoun, M. & Lavery, P., 2017, International conference on advanced concepts for intelligent vision systems (ACIVS). Springer, Vol. 10617 LNCS. p. 150-160 11 p. (Lecture Notes in Computer Science ).

Research output: Chapter in Book/Conference paperConference paper

32 Citations (Scopus)

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

Deep reconstruction models for image set classification

Hayat, M., Bennamoun, M. & An, S., Apr 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 4, p. 713-727

Research output: Contribution to journalArticle

114 Citations (Scopus)
11 Downloads (Pure)

Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds

Nadeem, U., Jalwana, M. A. A. K., Bennamoun, M., Togneri, R. & Sohel, F., 1 Jan 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Australia: Springer, p. 222-234 13 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

Discrimination comparison between audio and visual features

Sui, C., Togneri, R., Haque, S. & Bennamoun, M., 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2012). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1609-1612

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)

Discriminative feature learning and region consistency activation for robust scene labeling

Li, Y., Sohel, F., Bennamoun, M. & Lei, H., 21 Jun 2017, In : Neurocomputing. 243, p. 174-186 13 p.

Research output: Contribution to journalArticle

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)

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

15 Citations (Scopus)

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)
1 Citation (Scopus)
Open Access
1 Citation (Scopus)

Efficient Detection and Recognition of 3D Ears

Islam, S., Davies, R., Bennamoun, M. & Mian, A., 1 Apr 2011, In : International Journal of Computer Vision. 95, 1, p. 52-73

Research output: Contribution to journalArticle

Open Access
File
62 Citations (Scopus)
352 Downloads (Pure)

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

2 Citations (Scopus)

Efficient Image Set Classification Using Linear Regression Based Image Reconstruction

Shah, S. A. A., Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., 22 Aug 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-July. p. 601-610 10 p. 8014822

Research output: Chapter in Book/Conference paperConference paper

15 Citations (Scopus)