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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, 8634657

Research output: Chapter in Book/Conference paperConference paper

Cosmetics
Learning systems
Fillers

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

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

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

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

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
Open Access
artificial intelligence
heart failure
Learning systems
Feature extraction
Heart Failure

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

Cross-entropy
Action Recognition
Skeleton
Labels
Entropy

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
1 Citation (Scopus)
Open Access
Area Under Curve
Heart Failure
Neural Networks (Computer)
Sensitivity and Specificity
Decision Trees
3 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

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
1 Citation (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

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
2018
4 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

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

Computer vision
Neural networks
Image classification
Sports medicine
Network layers
7 Citations (Scopus)
Labeling
Neural networks
Invariant
Image classification
Invariance
1 Citation (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

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

Artificial Intelligence
Myocardial Fractional Flow Reserve
Data Mining
Automation
Coronary Artery Disease
1 Citation (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
2 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
3 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

Gesture recognition
Computer vision
User interfaces
Neural networks
Communication
2 Citations (Scopus)
87 Downloads (Pure)

Deep Image Representations for Coral Image Classification

Mahmood, A., Bennamoun, M., An, S., Sohel, F. A., Boussaid, F., Hovey, R., Kendrick, G. A. & Fisher, R. B., 12 Jan 2018, In : IEEE Journal of Oceanic Engineering. 11 p.

Research output: Contribution to journalArticle

Open Access
File
Reefs
Image classification
Autonomous underwater vehicles
Remotely operated vehicles
Aquatic ecosystems

Efficient finer-grained incremental processing with MapReduce for big data

Zhang, L., Feng, Y., Shen, P., Zhu, G., Wei, W., Song, J., Ali Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : Future Generation Computer Systems. 80, p. 102-111 10 p.

Research output: Contribution to journalArticle

Distributed computer systems
Cluster computing
Processing
Information technology
Wear of materials
4 Citations (Scopus)

Evolutionary Feature Learning for 3D Object Recognition

Shah, S. A. A., Bennamoun, M., Boussaid, F. & While, L., 2018, In : IEEE Access. 6, p. 2434-2444

Research output: Contribution to journalArticle

Open Access
Object recognition
Salix
Glossaries
Navigation
Robots

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

Weights and Measures
Discriminant Analysis
Statistical Factor Analysis

Generalized joint sparse representation for multimodal biometric fusion of heterogeneous features

Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 2018.

Research output: Contribution to conferenceConference presentation/ephemera

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

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
Testing
Probability distributions
Identification (control systems)
Entropy
Cameras
7 Citations (Scopus)

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
Image segmentation
Semantics
Neural networks
Labels
Pixels

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

Image segmentation
Pixels
Semantics
Neural networks
Computational efficiency
2 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

Linguistics
Composite materials
Semantics
Image quality
6 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
5 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

Neural Representations of Natural Language

White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, Austria: Springer. 5 p. (Studies in Computational Intelligence)

Research output: Book/ReportBook

Neural networks
Recurrent neural networks
Byproducts

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

Semantics
Neural networks
Linguistics
Experiments

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

4 Citations (Scopus)
Antifreeze Proteins
Peptides
Proteins
Protein
Prediction

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

Pixels
Volatile organic compounds
Semantics
Neural networks
3 Citations (Scopus)

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

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

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

Semantics
Robots
Linear Programming
Linear programming
Computer vision
1 Citation (Scopus)
Face recognition
Face Recognition
Discriminant
Face
Wavelet Packet

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
2017
2 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
1 Citation (Scopus)
104 Downloads (Pure)

A Cascade Gray-Stereo Visual Feature Extraction Method For Visual and Audio-Visual Speech Recognition

Sui, C., Togneri, R. & Bennamoun, M., Jun 2017, In : Speech Communication. 90, p. 26-38 13 p.

Research output: Contribution to journalArticle

Open Access
File
Speech Recognition
Speech recognition
Feature Extraction
Cascade
Feature extraction
71 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
12 Citations (Scopus)

A Novel Adaptive Kernel for the RBF Neural Networks

Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 1 Apr 2017, In : Circuits, Systems, and Signal Processing. 36, 4, p. 1639-1653 15 p.

Research output: Contribution to journalArticle

RBF Neural Network
kernel
Neural networks
Electric fuses
Nonlinear systems