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2018

Response to "Ghost Numbers"

Hayat, M., Bennamoun, M. & An, S., 1 Oct 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 10, 1 p., 8454023.

Research output: Contribution to journalReview article

2017
4 Citations (Scopus)

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

Face recognition
Neural networks
Lighting
Chemical activation
Testing
9 Citations (Scopus)
Fusion reactions
Human robot interaction
Optical flows
Long short-term memory
2019

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

Pixels
2016
3 Citations (Scopus)

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

Glossaries
Fusion reactions
Inverse problems
2019
1 Citation (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

Computer vision
Plankton
Fish
Image analysis
Image quality
2016
9 Citations (Scopus)
Mobile phones
Identification (control systems)
Image recognition
Bayesian networks
Support vector machines
219 Citations (Scopus)
11 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

Shot noise
Object recognition
Computational efficiency
Industry
2017
33 Citations (Scopus)

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

Sensors
2019
1 Citation (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

Pipelines
Neural networks
Long short-term memory
2 Citations (Scopus)

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

Least Mean Square
Q-calculus
Stochastic Gradient
Learning Rate
Gradient Algorithm

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

Local Features
Descriptors
Projection
Point Cloud
Noise Robustness
2018
4 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

Fluorescence
Neural networks
Principal component analysis
Chemical activation
2016
31 Citations (Scopus)
10 Downloads (Pure)

A spatio-temporal RBM-based model for facial expression recognition

Elaiwat, S., Bennamoun, M. & Boussaid, F., Jan 2016, In : Pattern Recognition. 49, p. 152-161

Research output: Contribution to journalArticle

Interfaces (computer)
Labels
Experiments
2019

A simple approach for 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

Research output: Chapter in Book/Conference paperConference paper

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

2018

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

Neural networks
Recurrent neural networks
Byproducts
4 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

Color vision
Image segmentation
Color
2017
9 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

Image reconstruction
Linear regression
2018

Three-dimensional scanning for measurement of bulk density in gravelly soils

Scanlan, C. A., Rahmani, H., Bowles, R. & Bennamoun, M., 1 Sep 2018, In : Soil Use and Management. 34, 3, p. 380-387 8 p.

Research output: Contribution to journalArticle

Open Access
gravelly soils
void
casts (medical)
bulk density
Scanning
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

Heart Failure
Learning
Medication Adherence
Cost Savings
Machine Learning
2016
12 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

coral reefs
annotations
Reefs
ecosystems
learning
2 Citations (Scopus)

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

Hamming distance
Experiments
Hot Temperature
2018
4 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

Gesture recognition
Fusion reactions
Convolution
Long short-term memory
Neural networks
2019

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

Cosmetics
Learning systems
Fillers
2016
42 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

Object recognition
Face recognition
Learning
Lie groups
Facial Expression
2019
1 Citation (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

Computer vision
Neural networks
Network architecture
Hardware
Deep learning
2017
127 Citations (Scopus)

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
Trajectories
Neural networks
2018
18 Citations (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

Neural networks
Recurrent neural networks
2019
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

Fusion reactions
Fluorescence
Reefs
Aquatic ecosystems
Lighting

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

Computer vision
Availability
Learning algorithms
Learning systems
Robotics

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

Automation
Computer vision
Learning systems
Industry
Productivity

Word sense representations

White, L., Togneri, R., Liu, W. & Bennamoun, M., 1 Jan 2019, Studies in Computational Intelligence. Springer-Verlag Wien, Vol. 783. p. 73-92 20 p. (Studies in Computational Intelligence; vol. 783).

Research output: Chapter in Book/Conference paperChapter

2016
3 Citations (Scopus)

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

Hot Temperature
Geometry
2019

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

2017
5 Citations (Scopus)

A robust variable step size fractional least mean square (RVSS-FLMS) algorithm

Khan, S., Usman, M., Naseem, I., Togneri, R. & Bennamoun, M., 2017, Proceedings - 2017 IEEE 13th International Colloquium on Signal Processing and its Applications, CSPA 2017. Taib, M. N. (ed.). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8064914

Research output: Chapter in Book/Conference paperConference paper

Identification (control systems)
system identification
Experiments
evaluation
2018
7 Citations (Scopus)

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

RBF Neural Network
Gradient Descent
Radial Basis Function Neural Network
Fractional
Neural networks
2017
11 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

30 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

Object recognition
Image registration
MATLAB
Tensors
Computational complexity
2019
2 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

Gesture recognition
Neural networks
Hinges
Network architecture
Long short-term memory
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

Information retrieval
Semantics
Neural networks
Data storage equipment
Memory Model
2016
43 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

Face recognition
Statistics
Availability
2019

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
Semantics
Image understanding
Genes
6 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

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

Biometrics
Face recognition
Mobile phones
Deep neural networks
2018
6 Citations (Scopus)
Antifreeze Proteins
Peptides
Proteins
Protein
Prediction
2016
4 Citations (Scopus)
2017

FLMF: Fractional Least Mean Fourth Algorithm for Channel Estimation in non-Gaussian Environment

Khan, S., Ahmed, N., Malik, M. A., Naseem, I., Togneri, R. & Bennamoun, M., 14 Dec 2017, 2017 International Conference on Information and Communication Technology Convergence. USA: Wiley-IEEE Press, p. 466-470 5 p. (International Conference on Information and Communication Technology Convergence).

Research output: Chapter in Book/Conference paperConference paper

2019
1 Citation (Scopus)

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

Network performance
Network architecture
Computer vision
Deep learning
Deep neural networks
2016
14 Citations (Scopus)

An RGB-D based image set classification for robust face recognition from Kinect data

Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 1 Jan 2016, In : Neurocomputing. 171, p. 889-900

Research output: Contribution to journalArticle

Face recognition
Lie groups
Set theory
Facial Expression
Covariance matrix