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• WEmbSim: A Simple yet Effective Metric for Image Captioning

  Sharif, N., White, L., Bennamoun, M., Liu, W. & Shah, S. A. A., 30 Nov 2020, Digital Image Computing: Techniques and Applications, 2020 (DICTA 2020). USA: IEEE, Institute of Electrical and Electronics Engineers

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

  • SPICE

• 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)

• Vision to Language: Methods, Metrics and Datasets

  Sharif, N., Nadeem, U., Shah, S. A. A., Bennamoun, M. & Liu, W., 2020, Machine Learning Paradigms: Advances in Deep Learning-based Technological Applications. Tsihrintzis, G. A. & Jain, L. C. (eds.). Cham: Springer International Publishing, p. 9-62 54 p. (Learning and Analytics in Intelligent Systems; vol. 18).

  Research output: Chapter in Book/Conference paper › Chapter

  • Deep learning
  • Artificial intelligence
  • Object recognition
  • Speech recognition
  • Computer vision

• Upper Body Detection in Unconstrained Still Images

  Wong, W., Huynh, D. & Bennamoun, M., 2011, 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 287-292

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

  • Detectors
  • Electric fuses
  • Computer vision
  • Lighting

• Trends in computer-aided manufacturing in prosthodontics: A review of the available streams

  Abduo, J., Lyons, K. M. & Bennamoun, M., 2014, In : International Journal of Dentistry. 2014, p. 1-15

  Research output: Contribution to journal › Article

  Open Access

  • Computer-Aided Design
  • Prosthodontics
  • Prostheses and Implants
  • Bite Force
  • Technology
  84 Citations (Scopus)

• Towards a fully automatic markerless motion analysis system for the estimation of body joint kinematics with application to sport analysis

  El-Sallam, A., Bennamoun, M., Honda, K. E., Lyttle, A. & Alderson, J., 2015, Proceedings of the 10th International Conference on Computer Graphics Theory and Applications. Germany: Scitepress, p. 58-69

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

  • Motion analysis
  • Sports
  • Kinematics
  • Constrained optimization
  • Video cameras
  1 Citation (Scopus)

• Topology-learnable graph convolution for skeleton-based action recognition

  Zhu, G., Zhang, L., Li, H., Shen, P., Shah, S. A. A. & Bennamoun, M., Jul 2020, In : Pattern Recognition Letters. 135, p. 286-292 7 p.

  Research output: Contribution to journal › Article

  • Convolution
  • Topology
  • Fusion reactions
  • Deep learning
  • Set theory
  4 Citations (Scopus)

• Three-dimensional scanning for measurement of bulk density in gravelly soils

  Scanlan, C. A., Rahmani, H., Bowles, R. & Bennamoun, M., 1 Sep 2018, In : Soil Use and Management. 34, 3, p. 380-387 8 p.

  Research output: Contribution to journal › Article

  Open Access

  • gravelly soils
  • bulk density
  • casts (medical)
  • void
  • Soils
  1 Citation (Scopus)

• The most discriminant subbands for face recognition: A novel information-theoretic framework

  Alim, A., Naseem, I., Togneri, R. & Bennamoun, M., 1 Sep 2018, In : International Journal of Wavelets, Multiresolution and Information Processing. 16, 5, 1850040.

  Research output: Contribution to journal › Article

  • Face Recognition
  • Discriminant
  • Face recognition
  • Face
  • Framework
  1 Citation (Scopus)

• Supervised particle filter for tracking 2D human pose in monocular video

  Sedai, S., Huynh, D. & Bennamoun, M., 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV 2011) . United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 367-373

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

• Structure-Feature based Graph Self-adaptive Pooling

  Zhang, L., Wang, X., Li, H., Zhu, G., Shen, P., Li, P., Lu, X., Shah, S. A. A. & Bennamoun, M., 20 Apr 2020, The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020. Association for Computing Machinery (ACM), p. 3098-3104 7 p. (The Web Conference 2020 - Proceedings of the World Wide Web Conference, WWW 2020).

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

  Open Access

  • Topology
  • Agglomeration
  1 Citation (Scopus)

• Spatial Shape Error Concealment Utilising Image Texture

  Sohel, F., Bennamoun, M. & Hahn, M., 2011, The Proceedings of the 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA). Singapore: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 265-270

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

  • Image texture
  • Image matching
  • Independent component analysis
  • Metadata
  2 Citations (Scopus)

• Spatially optimized data-level fusion of texture and shape for face recognition

  Al-Osaimi, F. R., Bennamoun, M. & Mian, A., 11 Aug 2012, In : IEEE Transactions on Image Processing. 21, 2, p. 859-872

  Research output: Contribution to journal › Article

  • Face recognition
  • Fusion reactions
  • Textures
  • Lighting
  • Pixels
  46 Citations (Scopus)

• Sparse Representation for View - Based Face Recognition

  Naseem, I., Togneri, R. & Bennamoun, M., 2011, Advances in Face Image Analysis: Techniques and Technologies. Zhang, Y-J. (ed.). United States: IGI Global, p. 164-177

  Research output: Chapter in Book/Conference paper › Chapter

• Sliding-Window Designs for Vertex-based Shape Coding

  Sohel, F., Karmakar, G. C., Dooley, L. S. & Bennamoun, M., 2012, In : IEEE Transactions on Multimedia. 14, 3, p. 683-692

  Research output: Contribution to journal › Article

  7 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
  86 Citations (Scopus)

  814 Downloads (Pure)

• Similarity Based Block Sparse Subset Selection for Video Summarization

  Ma, M., Mei, S., Wan, S., Wang, Z., Feng, D. D. & Bennamoun, M., 14 Dec 2020, In : IEEE Transactions on Circuits and Systems for Video Technology.

  Research output: Contribution to journal › Article

  • Deep learning
  • Set theory
  • Vector spaces

• Sign Constrained Rectifier Networks with Applications to Pattern Decompositions

  An, S., Ke, Q., Bennamoun, M., Boussaid, F. & Sohel, F., 2015, Machine Learning and Knowledge Discovery in Databases. Appice, A., Rodrigues, P. P., Costa, V. S., Soares, C., Gama, J. & Jorge, A. (eds.). Switzerland: Springer, Vol. Part 1. p. 546-559

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

• Separating objects and clutter in indoor scenes

  Khan, S. H., He, X., Bannamoun, M., Sohel, F. & Togneri, R., 2015, IEEE Conference on Computer Vision and Pattern Recognition. IEEE, Institute of Electrical and Electronics Engineers, Vol. 07-12-June-2015. p. 4603-4611

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

  • Labeling
  • Linear programming
  • Lighting
  15 Citations (Scopus)

• Semi-supervised neighborhood preserving discriminant embedding: A semi-supervised subspace learning algorithm

  Mehdizadeh, M., Macnish, C., Khan, N. & Bennamoun, M., 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Germany: Springer, Vol. 6494 LNCS. p. 199-212

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

• Semantic scene completion with dense CRF from a single depth image

  Zhang, L., Wang, L., Zhang, X., Shen, P., Bennamoun, M., Zhu, G., Shah, S. A. A. & Song, J., 27 Nov 2018, In : Neurocomputing. 318, p. 182-195 14 p.

  Research output: Contribution to journal › Article

  • Semantics
  • Robots
  • Linear Programming
  • Datasets
  • Linear programming
  7 Citations (Scopus)

• 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
  10 Citations (Scopus)

• Scale-Aware Feature Network for Weakly Supervised Semantic Segmentation

  Xu, L., Bennamoun, M., Boussaid, F. & Sohel, F., 21 Apr 2020, In : IEEE Access. 8, p. 75957-75967 11 p., 9075085.

  Research output: Contribution to journal › Article

  Open Access

  • Semantics
  • Volatile organic compounds
  • Image classification
  • Convolution
  • Image segmentation

• Robust regression for face recognition

  Naseem, I., Togneri, R. & Bennamoun, M., 2012, In : Pattern Recognition. 45, 1, p. 104-118

  Research output: Contribution to journal › Article

  • Linear regression
  • Face recognition
  • Lighting
  • Pixels
  • Speckle
  103 Citations (Scopus)

• Robust Pose Invariant Shape-based Hand Recognition

  El-Sallam, A., Sohel, F. & Bennamoun, M., 2011, Proceeding of the 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA). Singapore: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 281-286

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

  • Palmprint recognition
  • Independent component analysis
  • Fusion reactions
  • Feature extraction
  • Color
  12 Citations (Scopus)

• 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
  55 Citations (Scopus)

  948 Downloads (Pure)

• Reverse training: An efficient approach for image set classification

  Hayat, M., Bennamoun, M. & An, S., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8694 LNCS. p. 784-799

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

  • Classifiers
  • Object recognition
  • Face recognition
  • Set theory
  • Experiments
  15 Citations (Scopus)

  11 Downloads (Pure)

• 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

• Resfeats: Residual network based features for image classification

  Mahmood, A., Bennamoun, M., An, S. & Sohel, F., 20 Feb 2018, 2017 IEEE International Conference on Image Processing (ICIP). China: Wiley-IEEE Press, p. 1597-1601

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

• ResFeats: Residual network based features for underwater image classification

  Mahmood, A., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., Jan 2020, In : Image and Vision Computing. 93, 103811.

  Research output: Contribution to journal › Article

  • Aquatic ecosystems
  • Deep neural networks
  • Image classification
  • Imaging systems
  • Deep learning
  7 Citations (Scopus)

• Reflective Field for Pixel-Level Tasks

  Zhang, L., Kong, X., Shen, P., Zhu, G., Shah, S., Bennamoun, M. & Song, J., 10 Oct 2018, Reflective Field for Pixel-Level Tasks. IEEE, Institute of Electrical and Electronics Engineers, p. 529-534

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

  • Pixels
  • Volatile organic compounds
  • Semantics
  • Neural networks

• Redundancy and Attention in Convolutional LSTM for Gesture Recognition

  Zhu, G., Zhang, L., Yang, L., Mei, L., Shah, S. A. A., Bennamoun, M. & Shen, P., Apr 2020, In : IEEE Transactions on Neural Networks and Learning Systems. 31, 4, p. 1323-1335 13 p., 8750878.

  Research output: Contribution to journal › Article

  • Long short-term memory
  • Gesture recognition
  • Redundancy
  • Convolution
  • Fusion reactions
  3 Citations (Scopus)

• RAFP-Pred: Robust Prediction of Antifreeze Proteins using Localized Analysis of n-Peptide Compositions

  Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 2018, In : IEEE/ACM Transactions on Computational Biology and Bioinformatics. 15, 1, p. 244-250

  Research output: Contribution to journal › Article

  • Antifreeze Proteins
  • prednylidene
  • Peptides
  • Protein
  • Proteins
  10 Citations (Scopus)

• Quantitative error analysis of bilateral filtering

  An, S., Boussaïd, F., Bennamoun, M. & Sohel, F., 2015, In : IEEE Signal Processing Letters. 22, 2, p. 202-206

  Research output: Contribution to journal › Article

  • Quantitative Analysis
  • Filtering
  • Error Analysis
  • Error analysis
  • Interpolation
  5 Citations (Scopus)

• Precision of Digital Prosthodontic Planning for Oral Rehabilitation

  Abduo, J., Bennamoun, M., Tennant, M. & Mcgeachie, J., 2014, In : British Journal of Applied Science & Technology. 4, 27, p. 3915-3929

  Research output: Contribution to journal › Article

• 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)

• Performance evaluation of large 3D fingerprint databases

  Zhou, W., Hu, J., Wang, S., Petersen, I. & Bennamoun, M., 2014, In : Electronics Letters. 50, 15, p. 1060-1061

  Research output: Contribution to journal › Article

  • Biometrics
  • Sensors
  • Experiments
  8 Citations (Scopus)

• Performance evaluation of 3D local surface descriptors for low and high resolution range image registration

  Shah, S. A. A., Bennamoun, M. & Boussaïd, F., 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1-7

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

  • Image registration
  • Sensors
  • Costs
  • Experiments
  12 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)

• 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)

• Partial fingerprint indexing: a combination of local and reconstructed global features

  Zhou, W., Hu, J., Wang, S., Petersen, I. & Bennamoun, M., 2015, In : CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE. N/A, p. 1-18

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

• 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)

• Orthogonal Deep Models as Defense against Black-Box Attacks

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : IEEE Access. 8, p. 119744-119757 14 p., 9129688.

  Research output: Contribution to journal › Article

  Open Access

  • Deep learning
  • Computer vision

• On XCSR for electronic fraud detection

  Behdad, M., Barone, L., French, T. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 139-150

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

• Ontology Learning from Text: A look back and into the future

  Wong, W. Y., Liu, W. & Bennamoun, M., 2012, In : ACM Computing Surveys. 44, 4, p. 1-36

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

• 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)

• On principal component analysis for high-dimensional XCSR

  Behdad, M., French, T., Barone, L. & Bennamoun, M., 2012, In : Evolutionary Intelligence. 5, p. 129-138

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

  332 Downloads (Pure)

• 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

• 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