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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
  19 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
• Other chapter contribution

  Interdisciplinary learning for final year engineering projects: case studies

  Sohel, F., Thorne, C., Jegathesan, J. J., Sergeev, E. & Bennamoun, M., 2011, 22nd Annual Conference for the Australasian Association for Engineering Education. ACT, Australia: Engineers Australia, p. 498-504

  Research output: Chapter in Book/Conference paper › Other chapter contribution
• Letter

  Biometric security for mobile computing

  Hu, J., Bhagavatula, V., Bennamoun, M. & Toh, K-A., 2011, In : Security and Communication Networks. 4, 5, p. 483-486

  Research output: Contribution to journal › Letter
  2 Citations (Scopus)
• 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
• Edited book/Anthology

  Ontology Learning and Knowledge Discovery Using The Web: Challenges and Recent Advances

  Wong, W., Liu, W. & Bennamoun, M., 2011, - ed. USA: IGI Global.

  Research output: Book/Report › Edited book/Anthology
  3 Citations (Scopus)
• 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
  10 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 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
  7 Citations (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 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
  260 Citations (Scopus)

• An HMM-SVM-Based Automatic Image Annotation Approach

  Lei, Y., Wong, W., Liu, W. & Bennamoun, M., 2011, Computer Vision - ACCV 2010. Germany: Springer, Vol. 6495. p. 115-126

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

• 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)

• 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)

• 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
  5 Citations (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
  42 Citations (Scopus)

• 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)

• Evaluating Shape and Appearance Descriptors for 3D Human Pose Estimation

  Sedai, S., Bennamoun, M. & Huynh, D., 2011, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics & Applications. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 287-292

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

  4 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
  13 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

• Freestyle swimming: an insight into propulsive and resistive mechanisms

  Honda, K. E., Keys, M., Lyttle, A., Alderson, J., Bennamoun, M. & El-Sallam Abd, A., 2012, ISBS - Conference Proceedings. Australia: International Society of Biomechanics in Sports, Vol. 1. p. 96-99

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

• Fully Automatic Face Recognition from 3D Videos

  Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 21st International Conference on Pattern Recognition. Japan: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1415-1418

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

  5 Citations (Scopus)

• Generating bags of words from the sums of their word embeddings

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 1 Jan 2018, Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Revised Selected Papers. Gelbukh, A. (ed.). Austria: Springer-Verlag Wien, p. 91-102 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9623 LNCS).

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

  • Information retrieval
  • Semantics
  • Data storage equipment
  • Neural networks
  • Meaning

• Heterogeneous multi-column ConvNets with a fusion framework for object recognition

  Li, Y., Sohel, F., Bennamoun, M. & Lei, H., 2015, 2015 IEEE Winter Conference on Applications of Computer Vision. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 773-780

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

  • Object recognition
  • Fusion reactions
  • Optical character recognition
  2 Citations (Scopus)

• How can deep rectifier networks achieve linear separability and preserve distances?

  An, S., Boussaid, F. & Bennamoun, M., 2015, Proceedings of The 32nd International Conference on Machine Learning. International Machine Learning Society, Vol. 37. p. 514-523

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

  • Linear networks
  • Classifiers
  • Neural networks
  10 Citations (Scopus)

  10 Downloads (Pure)

• How Well Sentence Embeddings Capture Meaning

  White, L. R., Togneri, R., Liu, W. & Bennamoun, M., 2015, Proceedings of the 20th Australasian Document Computing Symposium. USA: Association for Computing Machinery (ACM), Vol. N/A. p. 1-8

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

• Integrating Visual Classifier Ensemble with Term Extraction for Automatic Image Annotation

  Lei, Y. J., Wong, W., Bennamoun, M. & Liu, W., 2011, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA). Beijing, China: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1959-1965

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

  • Image annotation
  • Classifiers
  • Support vector machines
  1 Citation (Scopus)

• Learning Action Recognition Model from Depth and Skeleton Videos

  Rahmani, H. & Bennamoun, M., 22 Dec 2017, Proceedings of the 2017 IEEE International Conference on Computer Vision, ICCV 2017. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-October. p. 5833-5842 10 p. 8237883

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

  • Sensors
  53 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
  6 Citations (Scopus)

• Learning deep structured network for weakly supervised change detection

  Khan, S. H., He, X., Porikli, F., Bennamoun, M., Sohel, F. & Togneri, R., 25 Aug 2017, 2017 International Joint Conference on Artificial Intelligence. Sierra, C. (ed.). Australia: International Joint Conferences on Artificial Intelligence, p. 2008-2015

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

  16 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
  • Long short-term memory
  • Experiments
  70 Citations (Scopus)

• Listening with Your Eyes: Towards a Practical Visual Speech Recognition System Using Deep Boltzmann Machines

  Sui, C., Bennamoun, M. & Togneri, R., 2015, 2015 IEEE International Conference on Computer Vision (ICCV). Chile: IEEE, Institute of Electrical and Electronics Engineers, p. 154-162

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

• Modelling Sentence Generation from Sum of Word Embedding Vectors as a Mixed Integer Programming Problem

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 30 Jan 2017, Proceedings of the 16th IEEE International Conference on Data Mining Workshops. Baeza-Yates, R. & Zhou, Z-H. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 770-777 8 p. 7836744

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

  • Integer programming
  3 Citations (Scopus)

• 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

• Nose tip detection and tracking in 3D video sequences

  Peng, X. & Bennamoun, M., 2011, Proceedings of the International Conference on Computer Graphics Theory and Applications (GRAPP 2011). Portugal: SciTe Press, Vol. 1. p. 13-22

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

• Novel low level local features for 3D expression invariant face recognition

  Hayat, M., Bennamoun, M., Lei, Y. & El-Sallam Abd, A., 2012, 12th International Conference on Control, Automation, Robotics & Vision. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 194-198

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

• NovelPerspective: Identifying Point of View Characters

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations. Melbourne: Association for Computational Linguistics, Vol. 2. p. 7-12 6 p.

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

  Open Access

• Outdoor scene labelling with learned features and region consistency activation

  Li, Y., Sohel, F., Bennamoun, M. & Lei, H., 2015, Proceedings - International Conference on Image Processing, ICIP. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-December. p. 1374-1378

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

  • Labeling
  • Chemical activation
  • Labels
  • Neural networks
  2 Citations (Scopus)

• PCA for Improving the Performance of XCSR in Classification of High Dimensional Problems

  Behdad, M., French, T., Barone, L. & Bennamoun, M., 2011, Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation. New York, NY, USA: Association for Computing Machinery (ACM), Vol. -. p. 361-368

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

• Performance Evaluation of 3D Local Feature Descriptors

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. & Zhang, J., 2015, Computer Vision -- ACCV 2014. USA: Springer, Vol. LNCS 9004. p. 1-17

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

  5 Citations (Scopus)

• Persistence-based Interest Point Detection for 3D Deformable Surface

  Wang, X., Sohel, F., Bennamoun, M., Guo, Y. & Lei, H., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . Claudio, A. P., Bechmann, D. & Braz, J. (eds.). Portugal: Scitepress, Vol. 1. p. 58-69

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

  Open Access

  File

  • Hot Temperature
  • Detectors
  313 Downloads (Pure)