• The University of Western Australia (M002), 35 Stirling Highway,

    6009 Perth

    Australia

  • 211 Citations
  • 9 h-Index
20102019
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Research Output 2010 2019

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

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

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

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
2018

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
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
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

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
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

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

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

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
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
7 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
23 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
21 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

Gesture recognition
Neural networks
Experiments
2016
14 Citations (Scopus)
10 Downloads (Pure)
Object recognition
Datasets
Vorticity
Detectors
Open Access
Rejuvenation
Cosmetics
Medicine
Outcome Assessment (Health Care)
X Ray Computed Tomography
38 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
509 Downloads (Pure)

Surface representations and automatic feature learning for 3D object recognition

Shah, S. A. A., Jan 2016, (Unpublished)

Research output: ThesisDoctoral Thesis

File
Object recognition
Image registration
Invariance
Vorticity
Evolutionary algorithms
2015
17 Citations (Scopus)
172 Downloads (Pure)
Open Access
File
Vorticity
Image registration
8 Citations (Scopus)

A novel algorithm for efficient depth segmentation using low resolution (Kinect) images

Shah, S. A., Bennamoun, M. & Boussaid, F., 2015, IEEE Conference on Industrial Electronics and Applications. Online: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 603-607

Research output: Chapter in Book/Conference paperConference paper

Automatic 3D Face Landmark Localization Based on 3D Vector Field Analysis

Shah, S. A. A., Bennamoun, M. & Boussaid, F., 2015, 2015 International Conference on Image and Vision Computing New Zealand (IVCNZ). Auckland, NZ: Wiley-IEEE Press

Research output: Chapter in Book/Conference paperConference paper

Face recognition
Animation
2014
11 Citations (Scopus)

Performance evaluation of 3D local surface descriptors for low and high resolution range image registration

Shah, S. A. A., Bennamoun, M. & Boussaïd, F., 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1-7

Research output: Chapter in Book/Conference paperConference paper

Image registration
Sensors
Costs
Experiments
2013
17 Citations (Scopus)

3D-Div: A novel local surface descriptor for feature matching and pairwise range image registration

Shah, S. A., Bennamoun, M., Boussaid, F. & El-Sallam Abd, A., 2013, Proceedings of 20th IEEE International Conference on Image Processing (ICIP), 2013. Australia: IEEE, Institute of Electrical and Electronics Engineers, Vol. nil. p. 2934-2938

Research output: Chapter in Book/Conference paperConference paper

16 Citations (Scopus)

A Novel Local Surface Description for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes

Shah, S. A., Bennamoun, M., Boussaid, F. & El-Sallam Abd, A., 2013, Proceedings of the 2013 IEEE International Conference on Computer Vision Workshops (ICCVW),. Australia: IEEE, Institute of Electrical and Electronics Engineers, Vol. nil. p. 638-643

Research output: Chapter in Book/Conference paperConference paper

9 Citations (Scopus)

Automatic object detection using objectness measure

Shah, S. A. A., Bennamoun, M., Boussaid, F. & El-Sallam, A., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 6pp

Research output: Chapter in Book/Conference paperConference paper

2010
10 Citations (Scopus)

Quantification and visualization of MRI cartilage of the knee: A simplified approach

Shah, S. A., Yahya, K. M., Mubashar, G. & Bais, A., 2010, Proceedings 2010 6th International Conference on Emerging Technologies (ICET). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. -. p. 175-180

Research output: Chapter in Book/Conference paperConference paper

3 Citations (Scopus)

Real Time Image Registration Based on Feature Tracking using a Digital Signal Processor

Manzoor, M. A., Farooq, M., Ali Shah, S. A., Shah, S. A., Ullah, S., Bais, A., Hassan, G. M. & Yahya, K., 2010, Proceedings 2010 6th International Conference on Emerging Technologies (ICET). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. -. p. 155-158

Research output: Chapter in Book/Conference paperConference paper