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  • Mohammed Bennamoun

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, 8634657

Research output: Chapter in Book/Conference paperConference paper

2018

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

2016

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

3 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)
2019

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

2016

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

42 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

20 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)
2017

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

2018

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

Semantic scene completion with dense CRF from a single depth image

Zhang, L., Wang, L., Zhang, X., Shen, P., Bennamoun, M., Zhu, G., Shah, S. A. A. & Song, J., 27 Nov 2018, In : Neurocomputing. 318, p. 182-195 14 p.

Research output: Contribution to journalArticle

4 Citations (Scopus)
2019

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

1 Citation (Scopus)

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

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)
2018

Exploiting layerwise convexity of rectifier networks with sign constrained weights

An, S., Boussaid, F., Bennamoun, M. & Sohel, F., 1 Sep 2018, In : Neural Networks. 105, p. 419-430 12 p.

Research output: Contribution to journalArticle

2019

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

1 Citation (Scopus)
2018
10 Citations (Scopus)
2019
Open Access
1 Citation (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

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)
2018

Resfeats: Residual network based features for image classification

Mahmood, A., Bennamoun, M., An, S. & Sohel, F., 20 Feb 2018, 2017 IEEE International Conference on Image Processing (ICIP). China: Wiley-IEEE Press, p. 1597-1601

Research output: Chapter in Book/Conference paperConference paper

8 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

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

2018

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

6 Citations (Scopus)
2019

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)

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

Single image dehazing using deep neural networks

Hodges, C., Bennamoun, M. & Rahmani, H., 1 Dec 2019, In : Pattern Recognition Letters. 128, p. 70-77 8 p.

Research output: Contribution to journalArticle

2 Citations (Scopus)
2020

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)
2018

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
10 Citations (Scopus)
2017
6 Citations (Scopus)
2019

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

2 Citations (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

2016

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
96 Citations (Scopus)
594 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

240 Citations (Scopus)
11 Downloads (Pure)
2017

Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

Khan, S. H., He, X., Porikli, F. & Bennamoun, M., Sep 2017, In : IEEE Transactions on Geoscience and Remote Sensing. 55, 9, p. 5407 - 5423

Research output: Contribution to journalArticle

32 Citations (Scopus)
2019

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)
2017

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
157 Citations (Scopus)
2018

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

6 Citations (Scopus)
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

12 Citations (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

7 Citations (Scopus)
2016

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

31 Citations (Scopus)

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

13 Citations (Scopus)
2017

RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests

Asif, U., Bennamoun, M. & Sohel, F., Jun 2017, In : IEEE Transactions on Robotics. 33, 3, p. 547-564

Research output: Contribution to journalArticle

Open Access
File
37 Citations (Scopus)
692 Downloads (Pure)
2018

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)
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

31 Citations (Scopus)
2018

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

2017

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

6 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

16 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)