Research Output per year
Research Output 2010 2019
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
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. 2934-2938Research 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, 8634657Research output: Chapter in Book/Conference paper › Conference paper
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
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
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. 2859-2871Research output: Contribution to journal › Article
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. 603-607Research output: Chapter in Book/Conference paper › Conference paper
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. 1-15Research output: Contribution to journal › Article
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. 638-643Research 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
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
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 PressResearch output: Chapter in Book/Conference paper › Conference paper
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. 6ppResearch 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. 1011-1021Research output: Contribution to journal › Article
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
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
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. 8014822Research output: Chapter in Book/Conference paper › Conference paper
Evolutionary Feature Learning for 3D Object Recognition
Shah, S. A. A., Bennamoun, M., Boussaid, F. & While, L., 2018, In : IEEE Access. 6, p. 2434-2444Research output: Contribution to journal › Article
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
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 - 15310Research output: Contribution to journal › Conference article
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
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. 866-874Research output: Contribution to journal › Article
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
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. 1586-1610Research output: Contribution to journal › Article
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. 14-20Research output: Chapter in Book/Conference paper › Conference paper
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. 3120-3128Research output: Chapter in Book/Conference paper › Conference paper
NNEval: Neural Network based Evaluation Metric for Image Captioning
Sharif, N., White, L. R., Bennamoun, M. & Shah, S., 2018, ECCV. Springer, p. 39-55Research output: Chapter in Book/Conference paper › Conference paper
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. 1-7Research output: Chapter in Book/Conference paper › Conference paper
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. 175-180Research output: Chapter in Book/Conference paper › Conference paper
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. 155-158Research 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. 529-534Research output: Chapter in Book/Conference paper › Conference paper
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
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
Surface representations and automatic feature learning for 3D object recognition
Shah, S. A. A., Jan 2016, (Unpublished)Research output: Thesis › Doctoral Thesis