Syed Afaq Shah

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 paper › Conference paper

Face recognition

Neural networks

Lighting

Chemical activation

Testing

18 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 paper › Conference paper

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 paper › Conference paper

Cosmetics

Learning systems

Fillers

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/Report › Book

Computer vision

Neural networks

Image classification

Sports medicine

Network layers

2 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 journal › Article

Color vision

Image segmentation

Color

17 Citations (Scopus)

198 Downloads (Pure)

A novel 3D vorticity based approach for automatic registration of low resolution range images

Shah, S. A. A., Bennamoun, M. & Boussaid, F., Sep 2015, In : Pattern Recognition. 48, 9, p. 2859-2871

Research output: Contribution to journal › Article

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 paper › Conference paper

14 Citations (Scopus)

10 Downloads (Pure)

A novel feature representation for automatic 3D object recognition in cluttered scenes

Shah, S. A. A., Bennamoun, M. & Boussaid, F., 12 Sep 2016, In : Neurocomputing. 205, p. 1-15

Research output: Contribution to journal › Article

Object recognition

Datasets

Vorticity

Detectors

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 paper › Conference paper

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 paper › Conference paper

Pixels

2 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 journal › Conference article

Gesture recognition

Fusion reactions

Convolution

Long short-term memory

Neural networks

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 paper › Conference paper

Face recognition

Animation

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 paper › Conference 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 journal › Article

Gesture recognition

Neural networks

Hinges

Network architecture

Long short-term memory

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 paper › Chapter

Computer vision

Neural networks

Network architecture

Hardware

Deep learning

Developing and testing a new machine learning method to identify patients with heart failure who are at risk of 30-day readmission or mortality

Awan, S. E., Bennamoun, M., Sanfilippo, F., Sohel, F., Shah, S., Rankin, J. & Dwivedi, G., 2018, In : Heart, Lung and Circulation.

Research output: Contribution to journal › Abstract/Meeting Abstract

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 journal › Article

Distributed computer systems

Cluster computing

Processing

Information technology

Wear of materials

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 paper › Conference paper

Image reconstruction

Linear regression

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 journal › Article

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 journal › Article

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 journal › Conference article

Image segmentation

Pixels

Semantics

Neural networks

Computational efficiency

Improving the Face of Cosmetic Medicine: An Automatic Three-dimensional Analysis System for Facial Rejuvenation

Molton, M., Shah, S. A. & Bennamoun, M., 2016, In : Journal of Aesthetic & Reconstructive Surgery . 2, 2, 6 p., 12.

Research output: Contribution to journal › Article

Open Access

Rejuvenation

Cosmetics

Medicine

Outcome Assessment (Health Care)

X Ray Computed Tomography

39 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 journal › Article

Object recognition

Face recognition

Learning

Lie groups

Facial Expression

24 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 journal › Article

Object recognition

Image registration

MATLAB

Tensors

Computational complexity

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 journal › Article

Linguistics

Neural networks

Composite materials

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 paper › Conference paper

Linguistics

Composite materials

Semantics

Image quality

26 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 paper › Conference paper

Gesture recognition

Neural networks

Experiments

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 paper › Conference paper

Open Access

Semantics

Neural networks

Linguistics

Experiments

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 paper › Conference paper

Image registration

Sensors

Costs

Experiments

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 paper › Conference 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 paper › Conference paper

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 paper › Conference paper

Pixels

Volatile organic compounds

Semantics

Neural networks

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 paper › Conference paper

Open Access

Semantics

Image understanding

Genes

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 journal › Article

Semantics

Robots

Linear Programming

Linear programming

Computer vision

526 Downloads (Pure)

Surface representations and automatic feature learning for 3D object recognition

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

Research output: Thesis › Doctoral Thesis

File

Object recognition

Image registration

Invariance

Vorticity

Evolutionary algorithms