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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
  10 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
  362 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)

  255 Downloads (Pure)

• A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. & Kwok, N. M., Jan 2016, In : International Journal of Computer Vision. 116, 1, p. 66-89

  Research output: Contribution to journal › Article

  • Shot noise
  • 3D modeling
  • Object recognition
  • Computational efficiency
  • Industry
  284 Citations (Scopus)

  11 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)

  431 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
  46 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 Discriminative Representation of Convolutional Features for Indoor Scene Recognition

  Khan, S., Hayat, M., Bennamoun, M., Togneri, R. & Sohel, F. A., Jul 2016, In : IEEE Transactions on Image Processing. 25, 7, p. 3372-3383

  Research output: Contribution to journal › Article

  • Chemical activation
  • Object recognition
  • Neural networks
  49 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
  19 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 joint Deep Boltzmann Machine (jDBM) Model for Person Identification using Mobile Phone Data

  Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 5 Oct 2016, In : IEEE Transactions on Multimedia. 19, 2, p. 317-326

  Research output: Contribution to journal › Article

  • Cellular telephones
  • Image recognition
  • Bayesian networks
  • Chemical activation
  • Logistics
  14 Citations (Scopus)

• 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
  19 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
  96 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
  30 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
  77 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
  241 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
  46 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)

  466 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
  23 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 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. 1-15

  Research output: Contribution to journal › Article

  • Object recognition
  • Datasets
  • Vorticity
  • Detectors
  18 Citations (Scopus)

  10 Downloads (Pure)

• 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)

  487 Downloads (Pure)

• An RGB-D based image set classification for robust face recognition from Kinect data

  Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 1 Jan 2016, In : Neurocomputing. 171, p. 889-900

  Research output: Contribution to journal › Article

  • Facial Recognition
  • Lie groups
  • Face recognition
  • Set theory
  • Facial Expression
  19 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 semantic RBM-based model for image set classification

  Elaiwat, S., Bennamoun, M. & Boussaid, F., 12 Sep 2016, In : Neurocomputing. 205, p. 507-518

  Research output: Contribution to journal › Article

  • Semantics
  • Surface structure
  • Facial Recognition
  • Face recognition
  • Datasets
  8 Citations (Scopus)

• A spatial layout and scale invariant feature representation for indoor scene classification

  Hayat, M., Khan, S. H., Bennamoun, M. & An, S., Oct 2016, In : IEEE Transactions on Image Processing. 25, 10, p. 4829-4841

  Research output: Contribution to journal › Article

  Open Access

  File

  • Invariance
  • Sports
  • Network architecture
  • Chemical activation
  • Neural networks
  27 Citations (Scopus)

  502 Downloads (Pure)

• A spatio-temporal RBM-based model for facial expression recognition

  Elaiwat, S., Bennamoun, M. & Boussaid, F., Jan 2016, In : Pattern Recognition. 49, p. 152-161

  Research output: Contribution to journal › Article

  • Interfaces (computer)
  • Labels
  • Experiments
  45 Citations (Scopus)

  10 Downloads (Pure)

• 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)

• 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
  13 Citations (Scopus)

• A Two-Phase Weighted Collaborative Representation for 3D partial face recognition with single sample

  Lei, Y., Guo, Y., Hayat, M., Bennamoun, M. & Zhou, X., 2016, In : Pattern Recognition. 52, p. 218-237 20 p.

  Research output: Contribution to journal › Article

  • Face recognition
  • Statistics
  • Availability
  • Set theory
  55 Citations (Scopus)

• Audio-Visual Biometric Recognition Via Joint Sparse Representations

  Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 2016, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR). Bayro-Corrochano, E. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3026-3030

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

  • Biometrics
  • Identification (control systems)
  • Fusion reactions
  • Pixels
  1 Citation (Scopus)

  12 Downloads (Pure)

• 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 annotation of coral reefs using deep learning

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R. B., 28 Nov 2016, OCEANS 2016 MTS/IEEE Monterey, OCE 2016. Zande, J. & Kirkwood, B. (eds.). IEEE, Institute of Electrical and Electronics Engineers, 7761105

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

  • coral reefs
  • annotations
  • Reefs
  • ecosystems
  • Aquatic ecosystems
  20 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
  69 Citations (Scopus)

• Automatic shadow detection and removal from a single image

  Khan, S. H., Bennamoun, M., Sohel, F. & Togneri, R., 1 Mar 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 3, p. 431-446 16 p.

  Research output: Contribution to journal › Article

  Open Access

  File
  116 Citations (Scopus)

  667 Downloads (Pure)

• Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis

  Wang, X., Sohel, F., Bennamoun, M. & Lei, H., 2016, Pacific-Rim Symposium on Image and Video Technology. Bräunl, T., McCane, B., Rivera, M. & Yu, X. (eds.). USA: Springer, p. 751-761 11 p. (Lecture Notes in Computer Science ; vol. 9431).

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

  • Hamming distance
  • Hot Temperature
  • Experiments
  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)

• 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)