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• 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)

• 3-D face recognition using curvelet local features

  Elaiwat, S., Bennamoun, M., Boussaïd, F. & El-Sallam, A., Feb 2014, In : IEEE Signal Processing Letters. 21, 2, p. 172-175 4 p.

  Research output: Contribution to journal › Article

  • Face Recognition
  • Curvelet
  • Local Features
  • Facial Expression
  • 3D
  41 Citations (Scopus)

• 3D object recognition in cluttered scenes with local surface features: A survey

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M. & Wan, J., 1 Nov 2014, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 36, 11, p. 2270-2287 18 p.

  Research output: Contribution to journal › Article

  • 3D Object Recognition
  • Object recognition
  • Local Features
  • Occlusion
  • Clutter
  355 Citations (Scopus)

  12 Downloads (Pure)

• 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 Cascade Gray-Stereo Visual Feature Extraction Method For Visual and Audio-Visual Speech Recognition

  Sui, C., Togneri, R. & Bennamoun, M., Jun 2017, In : Speech Communication. 90, p. 26-38 13 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Audiovisual Speech
  • Feature Extraction
  • Speech Recognition
  • Cascade
  • Vision
  7 Citations (Scopus)

  245 Downloads (Pure)

• A confidence-based late fusion framework for audio-visual biometric identification

  Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 15 Jan 2015, In : Pattern Recognition Letters. 52, p. 65-71

  Research output: Contribution to journal › Article

  Open Access

  File

  • Biometrics
  • Fusion reactions
  • Experiments
  21 Citations (Scopus)

  422 Downloads (Pure)

• A Curvelet-based approach for textured 3D face recognition

  Elaiwat, S., Bennamoun, M., Boussaïd, F. & El-Sallam Abd, A., Apr 2015, In : Pattern Recognition. 48, 4, p. 1235-1246

  Research output: Contribution to journal › Article

  • Face recognition
  • Frequency bands
  • Textures
  • Lighting
  • Detectors
  45 Citations (Scopus)

  11 Downloads (Pure)

• 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 Fractional Gradient Descent-Based RBF Neural Network

  Khan, S., Naseem, I., Malik, M. A., Togneri, R. & Bennamoun, M., Dec 2018, In : Circuits, Systems and Signal Processing. 37, 12, p. 5311-5332 22 p.

  Research output: Contribution to journal › Article

  • RBF Neural Network
  • Radial Basis Function Neural Network
  • Gradient Descent
  • Fractional
  • Neural networks
  17 Citations (Scopus)

• 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

• A high-performance spectral-spatial residual network for hyperspectral image classification with small training data

  Khotimah, W. N., Bennamoun, M., Boussaid, F., Sohel, F. & Edwards, D., Oct 2020, In : Remote Sensing. 12, 19, 3137.

  Research output: Contribution to journal › Article

  Open Access

  • image classification
  • normalization
  • spatial data
  • state of the art
  • speed

• A low-cost implementation of a 360° vision distributed aperture system

  Peng, X., Bennamoun, M., Wang, Q., Ma, Q. & Xu, Z., 2015, In : IEEE Transactions on Circuits and Systems for Video Technology. 25, 2, p. 225-238

  Research output: Contribution to journal › Article

  • Cameras
  • Costs
  • Computer hardware
  • Personal computers
  • Graphics processing unit
  3 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 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)

• A Multi-modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling

  Asif, U., Bennamoun, M. & Sohel, F., 1 Sep 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 9, p. 2051-2065

  Research output: Contribution to journal › Article

  • Labeling
  • Object
  • Neural networks
  • Invariant
  • Image classification
  17 Citations (Scopus)

• An accurate and robust range image registration algorithm for 3D object modeling

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., Aug 2014, In : IEEE Transactions on Multimedia. 16, 5, p. 1377-1390

  Research output: Contribution to journal › Article

  • Image registration
  • Seed
  • Statistics
  • Set theory
  95 Citations (Scopus)

• An automatic framework for textured 3D video-based facial expression recognition

  Hayat, M. & Bennamoun, M., Jul 2014, In : IEEE Transactions on Affective Computing. 5, 3, p. 301-313

  Research output: Contribution to journal › Article

  • Hilbert spaces
  • Clustering algorithms
  • Fusion reactions
  29 Citations (Scopus)

  10 Downloads (Pure)

• An efficient 3D face recognition approach using local geometrical signatures

  Lei, Y., Bennamoun, M., Hayat, M. & Guo, Y., Feb 2014, In : Pattern Recognition. 47, 2, p. 509-524 16 p.

  Research output: Contribution to journal › Article

  • Face recognition
  • Experiments
  • Computational efficiency
  • Principal component analysis
  • Support vector machines
  75 Citations (Scopus)

  10 Downloads (Pure)

• 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 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)

• 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
  10 Citations (Scopus)

• An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M. & Wan, J., Mar 2015, In : IEEE Transactions on Instrumentation and Measurement. 64, 3, p. 683-693 11 p.

  Research output: Contribution to journal › Article

  • 3D modeling
  • Object detection
  • clutter
  • computer vision
  • occlusion
  45 Citations (Scopus)

• 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
  21 Citations (Scopus)

  443 Downloads (Pure)

• A Novel Adaptive Kernel for the RBF Neural Networks

  Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 1 Apr 2017, In : Circuits, Systems, and Signal Processing. 36, 4, p. 1639-1653 15 p.

  Research output: Contribution to journal › Article

  • RBF Neural Network
  • kernel
  • Neural networks
  • Electric fuses
  • Radial Basis Function Neural Network
  22 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 information theoretic approach to gene selection for cancer classification using microarray data

  Naseem, I., Togneri, R. & Bennamoun, M., 2015, In : Current Bioinformatics. 10, 4, p. 431-440

  Research output: Contribution to journal › Article

  • Cancer Classification
  • Gene Selection
  • Microarray Data
  • Microarrays
  • Neoplasm Genes

• A novel local surface feature for 3D object recognition under clutter and occlusion

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 1 Feb 2015, In : Information Sciences. 293, p. 196-213

  Research output: Contribution to journal › Article

  Open Access

  File

  • 3D Object Recognition
  • Occlusion
  • Clutter
  • Object recognition
  • Recognition Algorithm
  77 Citations (Scopus)

  471 Downloads (Pure)

• A pitfall in fingerprint bio-cryptographic key generation

  Zhang, P., Hu, J. K., Li, C., Bennamoun, M. & Bhagavatula, V., 2011, In : Computers & Security. 30, 5, p. 311-319

  Research output: Contribution to journal › Article

  • biometrics
  • Biometrics
  • Feature extraction
  • experiment
  • integrity
  34 Citations (Scopus)

• 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)

• A review of Recent Advances in 3D ear and Expression Invariant Face Biometrics

  Islam, S., Bennamoun, M., Owens, R. & Davies, R., 2012, In : ACM Computing Surveys. 44, 3, p. 1-40 14.

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

  12 Downloads (Pure)

• 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 Survey on Deep Learning Techniques for Stereo-based Depth Estimation

  Laga, H., Jospin, L. V., Boussaid, F. & Bennamoun, M., 22 Oct 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-1 28 p.

  Research output: Contribution to journal › Article

  • Depth Estimation
  • Deep learning
  • Learning
  • Community
  • Stereo Matching

• A training-free nose tip detection method from face range images

  Peng, X., Bennamoun, M. & Mian, A., Mar 2011, In : Pattern Recognition. 44, 3, p. 544-558

  Research output: Contribution to journal › Article

  • Face recognition
  • Graphics processing unit
  • MATLAB
  • Pixels
  • Computer hardware
  39 Citations (Scopus)

  9 Downloads (Pure)

• 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)

• A Unified Framework for Brain Segmentation in MR Images

  Yazdani, S., Yusof, R., Karimian, A., Riazi, A. H. & Bennamoun, M., 2015, In : Computational and Mathematical Methods in Medicine. 2015, p. 829893

  Research output: Contribution to journal › Article

  8 Citations (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)

• Automatic detection of western rock lobster using synthetic data

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R. & Kendrick, G., 1 Jul 2020, In : ICES Journal of Marine Science. 77, 4, p. 1308-1317 10 p.

  Research output: Contribution to journal › Article

  • automatic detection
  • lobster
  • lobsters
  • rocks
  • rock
  3 Citations (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 hierarchical classification of kelps using deep residual features

  Mahmood, A., Ospina, A. G., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Fisher, R. B. & Kendrick, G. A., 2 Jan 2020, In : Sensors (Switzerland). 20, 2, 447.

  Research output: Contribution to journal › Article

  Open Access

  • Kelp
  • seaweeds
  • margins
  • organisms
  • Biota
  4 Citations (Scopus)

• 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)

• 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)

• Color vision deficiency datasets & recoloring evaluation using GANs

  Li, H., Zhang, L., Zhang, X., Zhang, M., Zhu, G., Shen, P., Li, P., Bennamoun, M. & Shah, S. A. A., 1 Oct 2020, In : Multimedia Tools and Applications. 79, 37-38

  Research output: Contribution to journal › Article

  • Color vision
  • Color
  • Screening
  • Bicycles
  • Testing

• 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)

• 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)

• Constructing specialised corpora through analysing domain representativeness of websites

  Wong, W., Liu, W. & Bennamoun, M., 2011, In : Language Resources and Evaluation. 45, 2, p. 209-241

  Research output: Contribution to journal › Article

  • Specialized Corpora
  • Representativeness
  • Web Sites
  • search engine
  • website
  4 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)