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• Review article

  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 journal › Review article

  • Artificial Intelligence
  • Computed Tomography Angiography
  • Myocardial Fractional Flow Reserve
  • Deep Learning
  • Automation
  3 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 journal › Review article

  • Machine Learning
  • Deep Learning
  • Heart Failure
  • Big Data
  • Cost Savings
  17 Citations (Scopus)

• 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 journal › Review article
• Letter

  Message from CIT2013 Chairs

  Chen, J., Cao, J., Abawajy, J. H., Mauri, J. L., Bennamoun, M., Gościński, A. M., Blumenstein, M., Wei, D. & Yang, L. T., 2013, In : Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013. p. xxiii

  Research output: Contribution to journal › Letter
• Entry for encyclopedia/dictionary

  Feature selection for 2D and 3D face recognition

  Bennamoun, M., Guo, Y. & Sohel, F., 15 Jun 2015, Wiley encyclopedia of electrical and electronics engineering. Kurzman, B. (ed.). Hoboken, NJ: John Wiley & Sons

  Research output: Chapter in Book/Conference paper › Entry for encyclopedia/dictionary

  • Face recognition
  • Feature extraction
  • Virtual reality
  • Data acquisition
  • Fusion reactions
• Conference paper

  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
  • Chemical activation
  • Lighting
  • Testing
  8 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
  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)

• A deep neural network for audio-visual person recognition

  Alam, M. R., Bennamoun, M., Togneri, R. & Sohel, F., 2015, Biometrics Theory, Applications and Systems (BTAS), 2015 IEEE 7th International Conference . USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1-6

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

  • Deep neural networks
  • Bayesian networks
  • Linear regression
  • Biometrics
  • Support vector machines
  6 Citations (Scopus)

• 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, 6 p. 8634657

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

  • Cosmetics
  • Fillers
  • Machine learning

• A Lip Extraction Algorithm Using Region-based ACM With Automatic Contour Initialization

  Sui, C., Bennamoun, M., Togneri, R. & Haque, S., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 275-280

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

• A Low Cost 3D Markerless System for the Reconstruction of Athletic Techniques

  El-Sallam Abd, A., Bennamoun, M., Sohel, F., Alderson, J., Lyttle, A. & Rossi, M., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). Unites States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 222-229

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

• A low cost visual hull based markerless system for the optimization of athletic techniques in outdoor environments

  El-Sallam, A., Bennamoun, M., Sohel, F., Alderson, J., Lyttle, A. & Warburton, T., 2013, GRAPP & IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications. Spain: Scitepress, Vol. 1. p. 49-59

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

  1 Citation (Scopus)

• A Model-based Approach to Speaker Identification using Class-specific Dictionaries

  Naseem, I., 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. 57-60

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

• A model-free approach for the segmentation of unknown objects

  Asif, U., Bennamoun, M. & Sohel, F., 2014, IEEE/RSJ International Conference on Intelligent Robots and Systems. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 4914-4921

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

• An efficient reliability estimation technique for audio-visual person identification

  Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA). United States: IEEE, Institute of Electrical and Electronics Engineers, p. 1631-1635

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

  Open Access

  • Trajectories
  • Neural networks
  226 Citations (Scopus)

• An Improved Approach to Weakly Supervised Semantic Segmentation

  Xu, L., Bennamoun, M., An, S., Boussaid, F. & Sohel, F., 2019, International Conference on Acoustics, Speech, and Signal Processing (ICASSP). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1897-1901 8682788

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

  • Semantics
  • Volatile organic compounds
  • Deep neural networks
  • Image segmentation
  • Labels
  2 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
  8 Citations (Scopus)

• A Novel Approach to Calculate Body Segments Inertial Parameters from DXA and 3D Scanners Data

  Mourao Rossi, M., El-Sallam Abd, A., Benjanuvatra, N., Lyttle, A., Blanksby, B. & Bennamoun, M., 2012, Proceedings of the 4th International Conference on Computational Methods (ICCM2012). Australia: ICCM, Vol. 1. p. 1-9

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

• 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
  18 Citations (Scopus)

• A robust variable step size fractional least mean square (RVSS-FLMS) algorithm

  Khan, S., Usman, M., Naseem, I., Togneri, R. & Bennamoun, M., 2017, Proceedings - 2017 IEEE 13th International Colloquium on Signal Processing and its Applications, CSPA 2017. Taib, M. N. (ed.). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8064914

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

  • Identification (control systems)
  • system identification
  • Experiments
  • evaluation
  7 Citations (Scopus)

• A structured template based 3D face recognition approach

  Lei, Y., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 27th Conference on Image and Vision Computing New Zealand. USA: Association for Computing Machinery (ACM), Vol. 1. p. 61-66

  Research output: Chapter in Book/Conference paper › Conference paper
  1 Citation (Scopus)

• A Three Dimensional Imaging-based Framework for Planning Maxillomandibular Advancement Surgery for the Treatment of Obstructive Sleep Apnoea

  Islam, S. M. S., Lucey, A. D., Cisonni, J., Goonewardene, M., Bennamoun, M., Farella, M. & Abduo, J., 2013, Proceedings 2013 4th World Congress on Software Engineering (WCSE 2013). USA: CPS, p. 301-306

  Research output: Chapter in Book/Conference paper › Conference paper
  1 Citation (Scopus)

• 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

• 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

  • Animation
  • Face recognition
  1 Citation (Scopus)

• Automatic Feature Learning for Robust Shadow Detection

  Khan, S. H., Bennamoun, M., Sohel, F. & Togneri, R., 2014, IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1939-1946

  Research output: Chapter in Book/Conference paper › Conference paper
  68 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
  10 Citations (Scopus)

• Bi-SAN-CAP: Bi-Directional Self-Attention for Image Captioning

  Hossain, M. Z., Sohel, F., Shiratuddin, M. F., Laga, H. & Bennamoun, M., 1 Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8946003. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Long short-term memory
  • Pipelines
  • Neural networks
  1 Citation (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 paper › Conference paper

  • Fluorescence
  • Neural networks
  • Principal component analysis
  • Chemical activation
  5 Citations (Scopus)

• Clustering of Video Patches on Grassmannian Manifold for Facial Expression Recognition from 3D Videos

  Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2013, 2013 IEEE Workshop on Applications of Computer Vision (WACV). United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 83-88

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

• Confidence-based rank-level fusion for audio-visual person identification system

  Alam, M. R., Bennamoun, M., Togneri, R. & Sohel, F., 2014, Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods. Scitepress, Vol. -. p. 608-615

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

• Contractive Rectifier Networks for Nonlinear Maximum Margin Classification

  An, S., Hayat, M., Khan, S. H., Bennamoun, M., Boussaid, F. & Sohel, F., 2015, 2015 IEEE International Conference on Computer Vision (ICCV). Chile: IEEE, Institute of Electrical and Electronics Engineers, p. 2515-2523

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

• Coral classification using densenet and cross-modality transfer learning

  Xu, L., Bennamoun, M., Boussaid, F., An, S. & Sohel, F., 2019, International Joint Conference on Neural Networks (IJCNN) . USA: IEEE, Institute of Electrical and Electronics Engineers

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

  • Fluorescence
  • Image classification
  1 Citation (Scopus)

• Deep Fusion Net for Coral Classification in Fluorescence and Reflectance Images

  Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8945925. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Fluorescence
  • Fusion reactions
  • Reefs
  • Aquatic ecosystems
  • Lighting
  1 Citation (Scopus)

• Deep learning on underwater marine object detection: a survey

  Moniruzzaman, M., Islam, S. M. S., Bennamoun, M. & Lavery, P., 2017, International conference on advanced concepts for intelligent vision systems (ACIVS). Springer, Vol. 10617 LNCS. p. 150-160 11 p. (Lecture Notes in Computer Science ).

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

  • Object detection
  • Deep learning
  • Deep neural networks
  • Monitoring
  • Ecosystems
  37 Citations (Scopus)

• Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds

  Nadeem, U., Jalwana, M. A. A. K., Bennamoun, M., Togneri, R. & Sohel, F., 1 Jan 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Australia: Springer, p. 222-234 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11954 LNCS).

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

  • Point Cloud
  • Camera
  • Descriptors
  • Cameras
  • Query

• Discrimination comparison between audio and visual features

  Sui, C., Togneri, R., Haque, S. & Bennamoun, M., 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2012). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1609-1612

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

• Discriminative feature learning for efficient RGB-D object recognition

  Asif, U., Bennamoun, M. & Sohel, F., 2015, IEEE International Conference on Intelligent Robots and Systems. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015. p. 272-279

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

  • Object recognition
  • Sensors
  8 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
  17 Citations (Scopus)

• Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees

  Asif, U., Bennamoun, M. & Sohel, F., 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-June. p. 1295-1302

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

  • Decision trees
  • Fusion reactions
  • Pixels
  • Classifiers
  • Sensors
  22 Citations (Scopus)

• Evaluation of Spatiotemporal Detectors and Descriptors for Facial Expression Recognition

  Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 5th International Conference on Human System Interaction. Australia: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 43-47

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

• Extracting deep bottleneck features for visual speech recognition

  Sui, C., Togneri, R. & Bennamoun, M., 2015, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-August. p. 1518-1522

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

  • Speech recognition
  • Deep learning
  • Acoustics
  12 Citations (Scopus)

• Faster R-CNN Based Deep Learning for Seagrass Detection from Underwater Digital Images

  Moniruzzaman, M., Islam, S. M. S., Lavery, P. & Bennamoun, M., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8946048. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Object detection
  • Deep learning
  • Detectors
  • Pipelines
  3 Citations (Scopus)

• Fingerprint indexing based on combination of novel minutiae triplet features

  Zhou, W., Hu, J., Wang, S., Petersen, I. R. & Bennamoun, M., 2014, Lecture Notes in Computer Science: Network and System Security. Au, M. H., Carminati, B. & Kuo, C-C. J. (eds.). Springer International Publishing Switzerland, Vol. 8792. p. 377-388

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

  • Experiments
  10 Citations (Scopus)

• FLMF: Fractional Least Mean Fourth Algorithm for Channel Estimation in non-Gaussian Environment

  Khan, S., Ahmed, N., Malik, M. A., Naseem, I., Togneri, R. & Bennamoun, M., 14 Dec 2017, 2017 International Conference on Information and Communication Technology Convergence. USA: Wiley-IEEE Press, p. 466-470 5 p. (International Conference on Information and Communication Technology Convergence).

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