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• 2017

  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)

• 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 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
  225 Citations (Scopus)

• 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 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)

• Cost-Sensitive Learning of Deep Feature Representations From Imbalanced Data

  Khan, S. H., Hayat, M., Bennamoun, M., Sohel, F. A. & Togneri, R., 17 Aug 2017, In : IEEE Transactions on Neural Networks and Learning Systems. 29, 8, p. 3573-3587

  Research output: Contribution to journal › Article

  • Costs
  • Classifiers
  • Deep neural networks
  • Image classification
  • Object detection
  174 Citations (Scopus)

• Deep feature learning for dummies: A simple auto-encoder training method using Particle Swarm Optimisation

  Sui, C., Bennamoun, M. & Togneri, R., 15 Jul 2017, In : Pattern Recognition Letters. 94, p. 75-80 6 p.

  Research output: Contribution to journal › Article

  • Deep learning
  • Particle swarm optimization (PSO)
  • Feature extraction
  • Speech recognition
  8 Citations (Scopus)

• Deep Learning for Coral Classification

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R., 2017, Handbook of Neural Computation. Samui, P., Roy, S. S. & Balas, V. E. (eds.). London: Academic Press, p. 383-401

  Research output: Chapter in Book/Conference paper › Chapter

  14 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
  37 Citations (Scopus)

• Deep neural networks for mobile person recognition with audio-visual signals

  Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., Sep 2017, Mobile Biometrics. Guo, G. & Wechsler, H. (eds.). London: The Institution of Engineering and Technology, p. 97-129 (IET Book Series on Advances in Biometrics).

  Research output: Chapter in Book/Conference paper › Chapter

  • Deep neural networks
  • Biometrics
  • Cellular telephones
  • Face recognition

• Discriminative feature learning and region consistency activation for robust scene labeling

  Li, Y., Sohel, F., Bennamoun, M. & Lei, H., 21 Jun 2017, In : Neurocomputing. 243, p. 174-186 13 p.

  Research output: Contribution to journal › Article

  • Labeling
  • Chemical activation
  • Learning
  • Generalization (Psychology)
  • Labels

• ECMSRC: A sparse learning approach for the prediction of extracellular matrix proteins

  Naseem, I., Khan, S., Togneri, R. & Bennamoun, M., 1 Aug 2017, In : Current Bioinformatics. 12, 4, p. 361-368 8 p.

  Research output: Contribution to journal › Article

  • Extracellular Matrix Proteins
  • Protein
  • Proteins
  • Learning
  • Extracellular Matrix
  18 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)

• Empowering Simple Binary Classifiers for Image Set Based Face Recognition

  Hayat, M., Khan, S. H. & Bennamoun, M., 1 Jul 2017, In : International Journal of Computer Vision. 123, 3, p. 479-498 20 p.

  Research output: Contribution to journal › Article

  • Face recognition
  • Classifiers
  • Object recognition
  • Security systems
  • Cameras
  16 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

• Forest Change Detection in Incomplete Satellite Images With Deep Neural Networks

  Khan, S. H., He, X., Porikli, F. & Bennamoun, M., Sep 2017, In : IEEE Transactions on Geoscience and Remote Sensing. 55, 9, p. 5407 - 5423

  Research output: Contribution to journal › Article

  • Deep neural networks
  • satellite image
  • Satellites
  • detection
  • Monitoring
  45 Citations (Scopus)

• Keypoints-based surface representation for 3D modeling and 3D object recognition

  Shah, S. A. A., Bennamoun, M. & Boussaid, F., 1 Apr 2017, In : Pattern Recognition. 64, p. 29-38 10 p.

  Research output: Contribution to journal › Article

  • 3D modeling
  • Object recognition
  • Image registration
  • Tensors
  • MATLAB
  35 Citations (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
  50 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

  15 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
  64 Citations (Scopus)

• Leveraging Structural Context Models and Ranking Score Fusion for Human Interaction Prediction

  Ke, Q., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 29 Nov 2017, In : IEEE Transactions on Multimedia.

  Research output: Contribution to journal › Article

  • Fusion reactions
  • Long short-term memory
  • Human robot interaction
  • Optical flows
  17 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
  2 Citations (Scopus)

• NSCT-based fusion method for forward-looking sonar image mosaic

  Zhang, J., Sohel, F., Bennamoun, M., Bian, H. & An, S., 1 Oct 2017, In : IET Radar, Sonar and Navigation. 11, 10, p. 1512-1522 11 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Sonar
  • Image fusion
  • Pixels
  • Experiments
  4 Citations (Scopus)

  320 Downloads (Pure)

• 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
  302 Downloads (Pure)

• RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests

  Asif, U., Bennamoun, M. & Sohel, F., Jun 2017, In : IEEE Transactions on Robotics. 33, 3, p. 547-564

  Research output: Contribution to journal › Article

  Open Access

  File

  • Object recognition
  • Convolution
  • Labels
  • Robotics
  • Uncertainty
  49 Citations (Scopus)

  882 Downloads (Pure)

• Scale space clustering evolution for salient region detection on 3D deformable shapes

  Wang, X., Sohel, F., Bennamoun, M., Guo, Y. & Lei, H., 1 Nov 2017, In : Pattern Recognition. 71, p. 414-427 14 p.

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

• SkeletonNet: Mining Deep Part Features for 3-D Action Recognition

  Ke, Q., An, S., Bennamoun, M., Sohel, F. & Boussaid, F., 2017, In : IEEE Signal Processing Letters. p. 731-735

  Research output: Contribution to journal › Article

  Open Access

  File

  • Action Recognition
  • Mining
  • Skeleton
  • 3D
  • Deep learning
  81 Citations (Scopus)

  752 Downloads (Pure)

• VP-FLMS: A Novel Variable Power Fractional LMS Algorithm

  Khan, S., Usman, M., Naseem, I., Togneri, R. & Bennamoun, M., Jul 2017, ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks. Jang, Y. M., Reali, G., Toh, C. K., Segall, Z. & Fujii, T. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 290-295 6 p. 7993796

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

  • Channel estimation
  • Experiments
  9 Citations (Scopus)
• 2016

  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
  281 Citations (Scopus)

  11 Downloads (Pure)

• 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
  47 Citations (Scopus)

• 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
  13 Citations (Scopus)

• 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)

• 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
  18 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)

  494 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
  43 Citations (Scopus)

  10 Downloads (Pure)

• 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
  53 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)

• 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 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
  113 Citations (Scopus)

  650 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)

• Coral classification with hybrid feature representations

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R., 2016, 2016 IEEE International Conference on Image Processing . Karam, L. (ed.). USA: Wiley-IEEE Press, p. 519-523 5 p.

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

  • Reefs
  • Textures
  • Pixels
  • Color
  36 Citations (Scopus)

• Deep Boltzmann Machines for i-Vector Based Audio-Visual Person Identification

  Alam, M. R., Bennamoun, M., Togneri, R. & Sohel, F., 2016, Image and Video Technology, PSIVT 2015. Bräunl, T., McCane, B., Rivera, M. & Yu, X. (eds.). USA: Springer-Verlag London Ltd., Vol. 9431. p. 631-641 11 p. (Lecture Notes in Computer Science).

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

  • Backpropagation
  • Classifiers
  • Experiments
  3 Citations (Scopus)

• EI3D: Expression-invariant 3D face recognition based on feature and shape matching

  Guo, Y., Lei, Y., Liu, L., Wang, Y., Bennamoun, M. & Sohel, F., 1 Nov 2016, In : Pattern Recognition Letters. 83, p. 403-412

  Research output: Contribution to journal › Article

  • Face recognition
  • Invariance
  19 Citations (Scopus)

• Forward-looking sonar image registration using polar transform

  Zhang, J., Sohel, F., Bian, H., Bennamoun, M. & An, S., 28 Nov 2016, OCEANS 2016 MTS/IEEE Monterey, OCE 2016. IEEE, Institute of Electrical and Electronics Engineers, 7761052

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

  • sonar
  • image registration
  • Sonar
  • Image registration
  • transform
  4 Citations (Scopus)

• Generating Bags of Words from the Sums of their Word Embeddings

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 2016, International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016). p. 1-12

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

• Heat Propagation Contours for 3D Non-rigid Shape Analysis

  Wang, X., Sohel, F., Bennamoun, M. & Lei, H., 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). Hoogs, A. & Davis, L. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, 7 p. 7477648

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

  • Hot Temperature
  • Geometry
  4 Citations (Scopus)

• Human interaction prediction using deep temporal features

  Ke, Q., Bennamoun, M., An, S., Boussaid, F. & Sohel, F., 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Hua, G. & Jegou, H. (eds.). Springer-Verlag London Ltd., Vol. 9914 LNCS. p. 403-414 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9914 LNCS).

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

  • Human
  • Prediction
  • Interaction
  • Image coding
  • Image Coding
  22 Citations (Scopus)

• Impact of digital prosthodontic planning on dental esthetics: Biometric analysis of esthetic parameters

  Abduo, J., Bennamoun, M., Tennant, M. & McGeachie, J. K., Jan 2016, In : Journal of Prosthetic Dentistry. 115, 1, p. 57-64 8 p.

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

• Improving the Face of Cosmetic Medicine: An Automatic Three-dimensional Analysis System for Facial Rejuvenation

  Molton, M., Shah, S. A. & Bennamoun, M., 2016, In : Journal of Aesthetic & Reconstructive Surgery . 2, 2, 6 p., 12.

  Research output: Contribution to journal › Article

  Open Access

  • Rejuvenation
  • Medicine
  • Outcome Assessment (Health Care)
  • Three-Dimensional Imaging
  • X Ray Computed Tomography