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Author

  • Mohammed Bennamoun
2020
Open Access

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)

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

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

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

Orthogonal Deep Models as Defense against Black-Box Attacks

Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : IEEE Access. 8, p. 119744-119757 14 p., 9129688.

Research output: Contribution to journalArticle

Open Access

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

2 Citations (Scopus)

Structure-Feature based Graph Self-adaptive Pooling

Zhang, L., Wang, X., Li, H., Zhu, G., Shen, P., Li, P., Lu, X., Shah, S. A. A. & Bennamoun, M., 20 Apr 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery (ACM), p. 3098-3104 7 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

Research output: Chapter in Book/Conference paperConference paper

Open Access

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

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

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

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

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

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
3 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

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

8 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

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

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 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)

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

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)

Faster R-CNN Based Deep Learning for Seagrass Detection from Underwater Digital Images

Moniruzzaman, M., Islam, S. M. S., Lavery, P. & Bennamoun, M., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8946048. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

Research output: Chapter in Book/Conference paperConference paper

Open Access
3 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)

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)

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
98 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-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 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)

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)

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)

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

5 Citations (Scopus)

Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study

Owaidah, A., Olaru, D., Bennamoun, M., Sohel, F. & Khan, N., 31 Mar 2019, In : JASSS. 22, 2, 36 p., 9.

Research output: Contribution to journalArticle

Open Access
1 Citation (Scopus)

RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniques

Ward, I. R., Laga, H. & Bennamoun, M., 27 Oct 2019, RGB-D Image Analysis and Processing. Rosin, P. L., Lai, Y-K., Shao, L. & Liu, Y. (eds.). Netherlands: Springer, p. 169-201 33 p. (Advances in Computer Vision and Pattern Recognition).

Research output: Chapter in Book/Conference paperChapter

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

7 Citations (Scopus)
2018

A Fractional Gradient Descent-Based RBF Neural Network

Khan, S., Naseem, I., Malik, M. A., Togneri, R. & Bennamoun, M., Dec 2018, In : Circuits, Systems and Signal Processing. 37, 12, p. 5311-5332 22 p.

Research output: Contribution to journalArticle

12 Citations (Scopus)

A Guide to Convolutional Neural Networks for Computer Vision

Khan, S., Rahmani, H., Shah, S. A. A. & Bennamoun, M., 2018, Morgan & Claypool Publishers. 207 p. (Synthesis Lectures on Computer Vision; vol. 8, no. 1)

Research output: Book/ReportBook

14 Citations (Scopus)

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

10 Citations (Scopus)

Application of Artificial Intelligence in Coronary Computed Tomography Angiography

Selvarajah, A., Bennamoun, M., Playford, D., Chow, B. J. W. & Dwivedi, G., 1 Jun 2018, In : Current Cardiovascular Imaging Reports. 11, 6, 12.

Research output: Contribution to journalReview article

3 Citations (Scopus)

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

10 Citations (Scopus)

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

5 Citations (Scopus)

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

11 Citations (Scopus)