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  • Mohammed Bennamoun

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

31 Citations (Scopus)

Label Universal Targeted Attack

Akhtar, N., Jalwana, M. A. A. K., Bennamoun, M. & Mian, A., 27 May 2019, In : arXiv preprint. 15 p.

Research output: Contribution to journalArticle

File
28 Downloads (Pure)

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

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

43 Citations (Scopus)

Learning-based Composite Metrics for Improved Caption Evaluation

Sharif, N., Bennamoun, M., White, L. R. & Shah, S., 2018, Proceedings of ACL 2018, Student Research Workshop. Australia: Association for Computational Linguistics, p. 14-20

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)

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

1 Citation (Scopus)

Learning Clip Representations for Skeleton-based 3D Action Recognition

Ke, Q., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., Jun 2018, In : IEEE Transactions on Image Processing. 27, 6, p. 2842-2855

Research output: Contribution to journalArticle

31 Citations (Scopus)

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

13 Citations (Scopus)

Learning Latent Global Network for Skeleton-based Action Prediction

Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2 Sep 2019, In : IEEE Transactions on Image Processing. p. 959-970

Research output: Contribution to journalArticle

4 Citations (Scopus)

Learning non-linear reconstruction models for image set classification

Hayat, M., Bennamoun, M. & An, S., 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1915-1922

Research output: Chapter in Book/Conference paperConference paper

52 Citations (Scopus)

Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition

Zhang, L., Zhu, G., Shen, P., Song, J., Shah, S. & Bennamoun, M., 1 Aug 2017, Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 3120-3128

Research output: Chapter in Book/Conference paperConference paper

13 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

10 Citations (Scopus)

Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines

Sui, C., Bennamoun, M. & Togneri, R., 2015, 2015 IEEE International Conference on Computer Vision (ICCV). Chile: IEEE, Institute of Electrical and Electronics Engineers, p. 154-162

Research output: Chapter in Book/Conference paperConference paper

16 Citations (Scopus)

Machine Learning Approaches for Prediction of Facial Rejuvenation Using Real and Synthetic Data

Shah, S. A. A., Bennamoun, M. & Molton, M. K., 2019, In : IEEE Access. 7, p. 23779-23787 9 p.

Research output: Contribution to journalArticle

Open Access
2 Citations (Scopus)
Open Access
3 Citations (Scopus)

Machine learning in heart failure: Ready for prime time

Awan, S. E., Sohel, F., Sanfilippo, F. M., Bennamoun, M. & Dwivedi, G., 1 Mar 2018, In : Current Opinion in Cardiology. 33, 2, p. 190-195 6 p.

Research output: Contribution to journalReview article

12 Citations (Scopus)

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

Model-free segmentation and grasp selection of unknown stacked objects

Asif, U., Bennamoun, M. & Sohel, F., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8693 LNCS. p. 659-674

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)

Modelling Sentence Generation from Sum of Word Embedding Vectors as a Mixed Integer Programming Problem

White, L., Togneri, R., Liu, W. & Bennamoun, M., 30 Jan 2017, Proceedings of the 16th IEEE International Conference on Data Mining Workshops. Baeza-Yates, R. & Zhou, Z-H. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 770-777 8 p. 7836744

Research output: Chapter in Book/Conference paperConference paper

2 Citations (Scopus)

Multibiometric human recognition using 3D ear and face features

Islam, S., Davies, R., Bennamoun, M., Owens, R. & Mian, A., Mar 2013, In : Pattern Recognition. 46, 3, p. 613-627

Research output: Contribution to journalArticle

23 Citations (Scopus)

Nature-inspired techniques in the context of fraud detection

Behdad, M., Barone, L., Bennamoun, M. & French, T., 2012, In : IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews. 42, 6, p. 1273 - 1290

Research output: Contribution to journalArticle

34 Citations (Scopus)

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

NNEval: Neural Network based Evaluation Metric for Image Captioning

Sharif, N., White, L. R., Bennamoun, M. & Shah, S., 2018, ECCV. Springer, p. 39-55

Research output: Chapter in Book/Conference paperConference paper

Open Access

NormalNet: A voxel-based CNN for 3D object classification and retrieval

Wang, C., Cheng, M., Sohel, F., Bennamoun, M. & Li, J., 5 Jan 2019, In : Neurocomputing. 323, p. 139-147 9 p.

Research output: Contribution to journalArticle

16 Citations (Scopus)

Nose tip detection and tracking in 3D video sequences

Peng, X. & Bennamoun, M., 2011, Proceedings of the International Conference on Computer Graphics Theory and Applications (GRAPP 2011). Portugal: SciTe Press, Vol. 1. p. 13-22

Research output: Chapter in Book/Conference paperConference paper

Novel low level local features for 3D expression invariant face recognition

Hayat, M., Bennamoun, M., Lei, Y. & El-Sallam Abd, A., 2012, 12th International Conference on Control, Automation, Robotics & Vision. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 194-198

Research output: Chapter in Book/Conference paperConference paper

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

NSCT-based fusion method for forward-looking sonar image mosaic

Zhang, J., Sohel, F., Bennamoun, M., Bian, H. & An, S., 1 Oct 2017, In : IET Radar, Sonar and Navigation. 11, 10, p. 1512-1522 11 p.

Research output: Contribution to journalArticle

Open Access
File
4 Citations (Scopus)
273 Downloads (Pure)

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

5 Citations (Scopus)

Ontology Learning and Knowledge Discovery Using The Web: Challenges and Recent Advances

Wong, W., Liu, W. & Bennamoun, M., 2011, - ed. USA: IGI Global.

Research output: Book/ReportEdited book/Anthology

3 Citations (Scopus)

Ontology Learning from Text: A look back and into the future

Wong, W. Y., Liu, W. & Bennamoun, M., 2012, In : ACM Computing Surveys. 44, 4, p. 1-36

Research output: Contribution to journalArticle

204 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

11 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

2 Citations (Scopus)

Partial fingerprint indexing: a combination of local and reconstructed global features

Zhou, W., Hu, J., Wang, S., Petersen, I. & Bennamoun, M., 2015, In : CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. N/A, p. 1-18

Research output: Contribution to journalArticle

5 Citations (Scopus)

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)

PCA for Improving the Performance of XCSR in Classification of High Dimensional Problems

Behdad, M., French, T., Barone, L. & Bennamoun, M., 2011, Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation. New York, NY, USA: Association for Computing Machinery (ACM), Vol. -. p. 361-368

Research output: Chapter in Book/Conference paperConference paper

3 Citations (Scopus)

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)

Performance Evaluation of 3D Local Feature Descriptors

Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. & Zhang, J., 2015, Computer Vision -- ACCV 2014. USA: Springer, Vol. LNCS 9004. p. 1-17

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)

Performance evaluation of 3D local surface descriptors for low and high resolution range image registration

Shah, S. A. A., Bennamoun, M. & Boussaïd, F., 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1-7

Research output: Chapter in Book/Conference paperConference paper

12 Citations (Scopus)

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

6 Citations (Scopus)

Persistence-based Interest Point Detection for 3D Deformable Surface

Wang, X., Sohel, F., Bennamoun, M., Guo, Y. & Lei, H., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . Claudio, A. P., Bechmann, D. & Braz, J. (eds.). Portugal: Scitepress, Vol. 1. p. 58-69

Research output: Chapter in Book/Conference paperConference paper

Open Access
File
278 Downloads (Pure)

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

5 Citations (Scopus)
8 Citations (Scopus)

Real-time Pose Estimation of Rigid Objects using RGB-D Imagery

Asif, U., Bennamoun, M. & Sohel, F., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1692-1699

Research output: Chapter in Book/Conference paperConference paper

11 Citations (Scopus)

Redundancy and Attention in Convolutional LSTM for Gesture Recognition

Zhu, G., Zhang, L., Yang, L., Mei, L., Shah, S. A. A., Bennamoun, M. & Shen, P., Apr 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 4, p. 1323-1335 13 p., 8750878.

Research output: Contribution to journalArticle

1 Citation (Scopus)

Reflective Field for Pixel-Level Tasks

Zhang, L., Kong, X., Shen, P., Zhu, G., Shah, S., Bennamoun, M. & Song, J., 10 Oct 2018, Reflective Field for Pixel-Level Tasks. IEEE, Institute of Electrical and Electronics Engineers, p. 529-534

Research output: Chapter in Book/Conference paperConference paper

Relationship detection based on object semantic inference and attention mechanisms

Zhang, L., Zhang, S., Shen, P., Zhu, G., Shah, S. A. A. & Bennamoun, M., 5 Jun 2019, ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval. USA: Association for Computing Machinery (ACM), p. 68-72 5 p. (ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval).

Research output: Chapter in Book/Conference paperConference paper

Open Access

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

3 Citations (Scopus)