Find Research Outputs

Search in all content

Filters for Research Output

Search concepts
Selected filters

Publication Year

  • 2020
  • 2019
  • 2018
  • 2017
  • 2016
  • 2015
  • 2012
  • 2011

Author

  • Mohammed Bennamoun

Fully Automatic Face Recognition from 3D Videos

Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 21st International Conference on Pattern Recognition. Japan: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1415-1418

Research output: Chapter in Book/Conference paperConference paper

5 Citations (Scopus)

Generalized joint sparse representation for multimodal biometric fusion of heterogeneous features

Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 30 Jan 2019, 2018 IEEE International Workshop on Information Forensics and Security (WIFS). USA: IEEE, Institute of Electrical and Electronics Engineers, 8630775

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

Generating bags of words from the sums of their word embeddings

White, L., Togneri, R., Liu, W. & Bennamoun, M., 1 Jan 2018, Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Revised Selected Papers. Gelbukh, A. (ed.). Austria: Springer-Verlag Wien, p. 91-102 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9623 LNCS).

Research output: Chapter in Book/Conference paperConference paper

Generating Bags of Words from the Sums of their Word Embeddings

White, L., Togneri, R., Liu, W. & Bennamoun, M., 2016, International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016). p. 1-12

Research output: Chapter in Book/Conference paperConference paper

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)

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)

Guest Editors' Introduction to the Special Issue on RGB-D Vision: Methods and Applications

Bennamoun, M., Guo, Y., Tombari, F., Youcef-Toumi, K. & Nishino, K., 1 Oct 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 10, p. 2329-2332 4 p., 9185968.

Research output: Contribution to journalEditorial

Open Access

Heat Propagation Contours for 3D Non-rigid Shape Analysis

Wang, X., Sohel, F., Bennamoun, M. & Lei, H., 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). Hoogs, A. & Davis, L. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, 7 p. 7477648

Research output: Chapter in Book/Conference paperConference paper

3 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

2 Citations (Scopus)

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

10 Citations (Scopus)
10 Downloads (Pure)

How Well Sentence Embeddings Capture Meaning

White, L. R., Togneri, R., Liu, W. & Bennamoun, M., 2015, Proceedings of the 20th Australasian Document Computing Symposium. USA: Association for Computing Machinery (ACM), Vol. N/A. p. 1-8

Research output: Chapter in Book/Conference paperConference paper

15 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

21 Citations (Scopus)

Identity Adaptation for Person Re-identification

Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 30 Aug 2018, In : IEEE Access. 6, p. 48147-48155 8452946.

Research output: Contribution to journalArticle

Open Access

Illumination normalization of facial images by reversing the process of image formation

Al-Osaimi, F. R., Bennamoun, M. & Mian, A., Nov 2011, In : Machine Vision and Applications. 22, 6, p. 899-911

Research output: Contribution to journalArticle

13 Citations (Scopus)
5 Citations (Scopus)

Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function

Ward, I. R., Jalwana, M. A. A. K. & Bennamoun, M., 2020, Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. Dabrowski, J. J., Rahman, A. & Paul, M. (eds.). Springer Link, p. 111-124 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11994 LNCS).

Research output: Chapter in Book/Conference paperConference paper

Improving Semantic Image Segmentation with a Probabilistic Superpixel-Based Dense Conditional Random Field

Zhang, L., Li, H., Shen, P., Zhu, G., Song, J., Shah, S. A. A., Zhang, L. & Bennamoun, M., 9 Mar 2018, In : IEEE Access. 6, p. 15297-15310 14 p., 2169-3536.

Research output: Contribution to journalArticle

Open Access
13 Citations (Scopus)

Improving semantic image segmentation with a probabilistic superpixel-based fully connected CRF

Zhang, L., Li, H., Zhu, G., Shen, P., Shah, S. A. & Bennamoun, M., 12 Mar 2018, In : IEEE Access. 6, p. 15297 - 15310

Research output: Contribution to journalConference article

Open Access
1 Citation (Scopus)
Open Access
File
15 Citations (Scopus)
459 Downloads (Pure)

Integrating Visual Classifier Ensemble with Term Extraction for Automatic Image Annotation

Lei, Y. J., Wong, W., Bennamoun, M. & Liu, W., 2011, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA). Beijing, China: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1959-1965

Research output: Chapter in Book/Conference paperConference paper

1 Citation (Scopus)

Interdisciplinary learning for final year engineering projects: case studies

Sohel, F., Thorne, C., Jegathesan, J. J., Sergeev, E. & Bennamoun, M., 2011, 22nd Annual Conference for the Australasian Association for Engineering Education. ACT, Australia: Engineers Australia, p. 498-504

Research output: Chapter in Book/Conference paperOther chapter contribution

Iris recognition using class-specific dictionaries

Naseem, I., Aleem, A., Togneri, R. & Bennamoun, M., Aug 2016, In : Computers and Electrical Engineering. 62, p. 178-193 16 p.

Research output: Contribution to journalArticle

5 Citations (Scopus)

Iterative deep learning for image set based face and object recognition

Shah, S. A., Bennamoun, M. & Boussaid, F., 22 Jan 2016, In : Neurocomputing. 174, Part B, p. 866-874

Research output: Contribution to journalArticle

45 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

33 Citations (Scopus)

Label Universal Targeted Attack

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

Research output: Contribution to specialist publicationArticle

File
94 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

47 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

35 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

14 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

5 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

14 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

17 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
7 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

13 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)

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

35 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

19 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)
281 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)