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• Article

  Learning Latent Global Network for Skeleton-based Action Prediction

  Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2 Sep 2019, In : IEEE Transactions on Image Processing. p. 959-970

  Research output: Contribution to journal › Article

  • Lighting
  7 Citations (Scopus)

• 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 journal › Article

  Open Access
  2 Citations (Scopus)

• Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics

  Awan, S. E., Bennamoun, M., Sohel, F., Sanfilippo, F. M. & Dwivedi, G., 1 Apr 2019, In : ESC Heart Failure. 6, 2, p. 428-435 8 p.

  Research output: Contribution to journal › Article

  Open Access

  • Machine Learning
  • Area Under Curve
  • Heart Failure
  • Neural Networks (Computer)
  • Sensitivity and Specificity
  9 Citations (Scopus)

• Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats

  Hassan, T., Shafay, M., Akçay, S., Khan, S., Bennamoun, M., Damiani, E. & Werghi, N., 2 Nov 2020, In : Sensors (Switzerland). 20, 22, p. 1-25 25 p., 6450.

  Research output: Contribution to journal › Article

  Open Access

  • baggage
  • Transfer (Psychology)
  • learning
  • Tensors
  • shot

• Multibiometric human recognition using 3D ear and face features

  Islam, S., Davies, R., Bennamoun, M., Owens, R. & Mian, A., Mar 2013, In : Pattern Recognition. 46, 3, p. 613-627

  Research output: Contribution to journal › Article

  • Biometrics
  • Fusion reactions
  25 Citations (Scopus)

• Nature-inspired techniques in the context of fraud detection

  Behdad, M., Barone, L., Bennamoun, M. & French, T., 2012, In : IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews. 42, 6, p. 1273 - 1290

  Research output: Contribution to journal › Article
  38 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 journal › Article
  24 Citations (Scopus)

• On principal component analysis for high-dimensional XCSR

  Behdad, M., French, T., Barone, L. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 129-138

  Research output: Contribution to journal › Article
  5 Citations (Scopus)

• Ontology Learning from Text: A look back and into the future

  Wong, W. Y., Liu, W. & Bennamoun, M., 2012, In : ACM Computing Surveys. 44, 4, p. 1-36

  Research output: Contribution to journal › Article
  220 Citations (Scopus)

• On XCSR for electronic fraud detection

  Behdad, M., Barone, L., French, T. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 139-150

  Research output: Contribution to journal › Article
  11 Citations (Scopus)

• Orthogonal Deep Models as Defense against Black-Box Attacks

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : IEEE Access. 8, p. 119744-119757 14 p., 9129688.

  Research output: Contribution to journal › Article

  Open Access

  • Deep learning
  • Computer vision

• Performance evaluation of large 3D fingerprint databases

  Zhou, W., Hu, J., Wang, S., Petersen, I. & Bennamoun, M., 2014, In : Electronics Letters. 50, 15, p. 1060-1061

  Research output: Contribution to journal › Article

  • Biometrics
  • Sensors
  • Experiments
  7 Citations (Scopus)

• Precision of Digital Prosthodontic Planning for Oral Rehabilitation

  Abduo, J., Bennamoun, M., Tennant, M. & Mcgeachie, J., 2014, In : British Journal of Applied Science & Technology. 4, 27, p. 3915-3929

  Research output: Contribution to journal › Article

• RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions

  Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 2018, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15, 1, p. 244-250

  Research output: Contribution to journal › Article

  • Antifreeze Proteins
  • prednylidene
  • Peptides
  • Protein
  • Proteins
  9 Citations (Scopus)

• Redundancy and Attention in Convolutional LSTM for Gesture Recognition

  Zhu, G., Zhang, L., Yang, L., Mei, L., Shah, S. A. A., Bennamoun, M. & Shen, P., Apr 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 4, p. 1323-1335 13 p., 8750878.

  Research output: Contribution to journal › Article

  • Long short-term memory
  • Gesture recognition
  • Redundancy
  • Convolution
  • Fusion reactions
  3 Citations (Scopus)

• ResFeats: Residual network based features for underwater image classification

  Mahmood, A., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 1 Nov 2019, In : Image and Vision Computing. 103811.

  Research output: Contribution to journal › Article

  • Aquatic ecosystems
  • Deep neural networks
  • Image classification
  • Imaging systems
  • Deep learning
  7 Citations (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 journal › Article

  Open Access
  2 Citations (Scopus)

• Robust regression for face recognition

  Naseem, I., Togneri, R. & Bennamoun, M., 2012, In : Pattern Recognition. 45, 1, p. 104-118

  Research output: Contribution to journal › Article

  • Linear regression
  • Face recognition
  • Lighting
  • Pixels
  • Speckle
  102 Citations (Scopus)

• Rotational Projection Statistics for 3D Local Surface Description and Object Recognition

  Guo, Y., Sohel, F., Bennamoun, M., Lu, M. & Wan, J., 2013, In : International Journal of Computer Vision. 105, 1, p. 63-86

  Research output: Contribution to journal › Article
  318 Citations (Scopus)

• Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation

  Xu, L., Bennamoun, M., Boussaid, F. & Sohel, F., 21 Apr 2020, In : IEEE Access. 8, p. 75957-75967 11 p., 9075085.

  Research output: Contribution to journal › Article

  Open Access

  • Semantics
  • Volatile organic compounds
  • Image classification
  • Convolution
  • Image segmentation

• 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
  • Datasets
  • Linear programming
  7 Citations (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 journal › Article

  • Deep neural networks
  • Deep learning
  • Network performance
  • Network architecture
  • Computer vision
  9 Citations (Scopus)

• Sliding-Window Designs for Vertex-based Shape Coding

  Sohel, F., Karmakar, G. C., Dooley, L. S. & Bennamoun, M., 2012, In : IEEE Transactions on Multimedia. 14, 3, p. 683-692

  Research output: Contribution to journal › Article

  7 Citations (Scopus)

• Spatially optimized data-level fusion of texture and shape for face recognition

  Al-Osaimi, F. R., Bennamoun, M. & Mian, A., 11 Aug 2012, In : IEEE Transactions on Image Processing. 21, 2, p. 859-872

  Research output: Contribution to journal › Article

  • Face recognition
  • Fusion reactions
  • Textures
  • Lighting
  • Pixels
  44 Citations (Scopus)

• The most discriminant subbands for face recognition: A novel information-theoretic framework

  Alim, A., Naseem, I., Togneri, R. & Bennamoun, M., 1 Sep 2018, In : International Journal of Wavelets, Multiresolution and Information Processing. 16, 5, 1850040.

  Research output: Contribution to journal › Article

  • Face Recognition
  • Discriminant
  • Face recognition
  • Face
  • Framework
  1 Citation (Scopus)

• Three-dimensional image registration as a tool for forensic odontology: A preliminary investigation

  Abduo, J. & Bennamoun, M., 2013, In : American Journal of Forensic Medicine and Pathology. 34, 3, p. 260-266

  Research output: Contribution to journal › Article
  14 Citations (Scopus)

• 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 journal › Article

  Open Access

  • gravelly soils
  • bulk density
  • casts (medical)
  • void
  • Soils

• Topology-learnable graph convolution for skeleton-based action recognition

  Zhu, G., Zhang, L., Li, H., Shen, P., Shah, S. A. A. & Bennamoun, M., Jul 2020, In : Pattern Recognition Letters. 135, p. 286-292 7 p.

  Research output: Contribution to journal › Article

  • Convolution
  • Topology
  • Fusion reactions
  • Deep learning
  • Set theory

• Trends in computer-aided manufacturing in prosthodontics: A review of the available streams

  Abduo, J., Lyons, K. M. & Bennamoun, M., 2014, In : International Journal of Dentistry. 2014, p. 1-15

  Research output: Contribution to journal › Article

  Open Access

  • Computer-Aided Design
  • Prosthodontics
  • Prostheses and Implants
  • Bite Force
  • Technology
  79 Citations (Scopus)

• Unsupervised segmentation of unknown objects in complex environments

  Asif, U., Bennamoun, M. & Sohel, F., Jun 2016, In : Autonomous Robots. 40, 5, p. 805-829

  Research output: Contribution to journal › Article
  10 Citations (Scopus)
• Book

  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/Report › Book

• 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

• 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/Report › Book

  • Neural networks
  • Recurrent neural networks
  • Byproducts
• Chapter

  3D Face Surface Analysis and Recognition Based on Facial Surface Features

  Al-Osaimi, F. R. M. & Bennamoun, M., 2013, 3D Face Modeling, Analysis and Recognition. Daoudi, M., Srivastava, A. & Veltkamp, R. (eds.). Australia: John Wiley & Sons, Vol. nil. p. 39-76

  Research output: Chapter in Book/Conference paper › Chapter
  2 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 paper › Chapter

  • Gesture recognition
  • Computer vision
  • Deep learning
  • User interfaces
  • Neural networks
  14 Citations (Scopus)

• 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 paper › Chapter

  • Deep Learning
  • Autonomous Vehicles
  • Deep learning
  • Automation
  • Autonomous vehicles
  2 Citations (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 paper › Chapter

  • Deep Learning
  • Deep learning
  • Computer Vision
  • Computer vision
  • Plankton
  6 Citations (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

  • Deep learning
  • Computer vision
  • Neural networks
  • Network architecture
  • Computer hardware
  2 Citations (Scopus)

• 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 paper › Chapter

  • Object detection
  • Deep learning
  • Computer vision
  • Availability
  • Learning algorithms

• Vision to Language: Methods, Metrics and Datasets

  Sharif, N., Nadeem, U., Shah, S. A. A., Bennamoun, M. & Liu, W., 2020, Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications. Tsihrintzis, G. A. & Jain, L. C. (eds.). Cham: Springer International Publishing, p. 9-62 54 p. (Learning and Analytics in Intelligent Systems; vol. 18).

  Research output: Chapter in Book/Conference paper › Chapter

  • Deep learning
  • Artificial intelligence
  • Object recognition
  • Speech recognition
  • Computer vision

• Visual Speech Feature Representations: Recent Advances

  Sui, C., Bennamoun, M. & Togneri, R., 2016, Advances in Face Detection and Facial Image Analysis. Kawulok, M., Celebi, E. & Smolka, B. (eds.). USA: Springer US, p. 377-396 20 p.

  Research output: Chapter in Book/Conference paper › Chapter
  2 Citations (Scopus)
• Conference article

  Attack to Explain Deep Representation

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 9540-9549 10 p., 9156888.

  Research output: Contribution to journal › Conference article

  • Labels
  • Classifiers
  • Deep learning
  • Casting
  • Demonstrations
  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 journal › Conference article

  • Long short-term memory
  • Gesture recognition
  • Fusion reactions
  • Convolution
  • Neural networks
  12 Citations (Scopus)

• 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

  • Superpixels
  • Image segmentation
  • Semantics
  • Pixels
  • Neural networks
• 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. 2934-2938

  Research output: Chapter in Book/Conference paper › Conference paper
  21 Citations (Scopus)

• 3D face identification using Curvelet transform

  Elaiwat, S., Boussaid, F., Bennamoun, M. & 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
  2 Citations (Scopus)

• 3D Free form Object Recognition Using Rotational Projection Statistics

  Guo, Y., Bennamoun, M., Sohel, F., Wan, J. & Lu, M., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1-8

  Research output: Chapter in Book/Conference paper › Conference paper
  22 Citations (Scopus)

  10 Downloads (Pure)

• 3D Human Pose Tracking using Gaussian Process Regression and Particle Filter applied to gait analysis of Parkinson's Disease patients

  Sedai, S., Bennamoun, M., Huynh, D., El-Sallam, A., Foo, S., Alderson, J. & Lind, C., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA). New Jersey, USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. n/a. p. 1636-1642

  Research output: Chapter in Book/Conference paper › Conference paper
  6 Citations (Scopus)

• A 3D Audio-visual Corpus for Speech Recognition

  Sui, C., Haque, S., Togneri, R. & Bennamoun, M., 2012, Proceedings of the 14th Australasian International Conference on Speech Science and Technology. Australia: Australasian Speech Science and Technology Association Inc, Vol. 14. p. 125-128

  Research output: Chapter in Book/Conference paper › Conference paper

• A benchmark 3D fingerprint database

  Zhou, W., Hu, J., Petersen, I. R., Wang, S. & Bennamoun, M., 2014, 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014. IEEE, Institute of Electrical and Electronics Engineers, p. 935-940

  Research output: Chapter in Book/Conference paper › Conference paper

  • Biometrics
  • Law enforcement
  11 Citations (Scopus)