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• Generalized joint sparse representation for multimodal biometric fusion of heterogeneous features

  Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 30 Jan 2019, 2018 IEEE International Workshop on Information Forensics and Security (WIFS). USA: IEEE, Institute of Electrical and Electronics Engineers, 8630775

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

  • Biometrics
  • Fusion reactions
  • Experiments
  1 Citation (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

• Geometric Distortion Measurement for Shape Coding: A Contemporary Review

  Sohel, F., Karmakar, G. C., Dooley, L. S. & Bennamoun, M., 2011, In : ACM Computing Surveys. 43, 4, p. 1-22

  Research output: Contribution to journal › Article

  • Coding
  • Rate-distortion
  • Review
  • Metric
  • Measurement Techniques
  7 Citations (Scopus)

• Geometry Driven Semantic Labeling of Indoor Scenes

  Khan, S., Bennamoun, M., Sohel, F. & Togneri, R., 2014, European Conference on Computer Vision. Online: Springer, Vol. 8689 LNCS. p. 679-694

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

• Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition

  Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Schindler, K. & Jawahar, C. V. (eds.). Springer-Verlag Berlin, p. 729-745 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11364 LNCS).

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

  Open Access

  • Action Recognition
  • Cross-entropy
  • Skeleton
  • Labels
  • Entropy
  3 Citations (Scopus)

• Guest Editors' Introduction to the Special Issue on RGB-D Vision: Methods and Applications

  Bennamoun, M., Guo, Y., Tombari, F., Youcef-Toumi, K. & Nishino, K., 1 Oct 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 10, p. 2329-2332 4 p., 9185968.

  Research output: Contribution to journal › Editorial

  Open Access

• 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)

• Illumination normalization of facial images by reversing the process of image formation

  Al-Osaimi, F. R., Bennamoun, M. & Mian, A., Nov 2011, In : Machine Vision and Applications. 22, 6, p. 899-911

  Research output: Contribution to journal › Article

  • Lighting
  • Image processing
  • Light sources
  • Face recognition
  • Color
  13 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 Image-Based Localization with Deep Learning: The Impact of the Loss Function

  Ward, I. R., Jalwana, M. A. A. K. & Bennamoun, M., 2020, Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. Dabrowski, J. J., Rahman, A. & Paul, M. (eds.). Springer Link, p. 111-124 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11994 LNCS).

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

  • Loss Function
  • Deep learning
  • Learning
  • Term
  • Regression

• 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

• Integrating Geometrical Context for Semantic Labeling of Indoor Scenes using RGBD Images

  Khan, S., Bennamoun, M., Sohel, F., Togneri, R. & Naseem, I., Mar 2016, In : International Journal of Computer Vision. 117, 1, p. 1-20

  Research output: Contribution to journal › Article

  Open Access

  File

  • Labeling
  • Semantics
  • Pixels
  • Geometry
  • Labels
  17 Citations (Scopus)

  484 Downloads (Pure)

• Integrating Shape and Color Cues for Textured 3D Object Recognition

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1614-1619

  Research output: Chapter in Book/Conference paper › Conference paper
  7 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)

• 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

• Iris recognition using class-specific dictionaries

  Naseem, I., Aleem, A., Togneri, R. & Bennamoun, M., Aug 2016, In : Computers and Electrical Engineering. 62, p. 178-193 16 p.

  Research output: Contribution to journal › Article

  • Glossaries
  • Fusion reactions
  • Inverse problems
  5 Citations (Scopus)

• Iterative deep learning for image set based face and object recognition

  Shah, S. A., Bennamoun, M. & Boussaid, F., 22 Jan 2016, In : Neurocomputing. 174, Part B, p. 866-874

  Research output: Contribution to journal › Article

  • Deep Learning
  • Facial Recognition
  • Object recognition
  • Deep learning
  • Face recognition
  48 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)

• Label Universal Targeted Attack

  Akhtar, N., Jalwana, M. A. A. K., Bennamoun, M. & Mian, A., 27 May 2019, arXiv preprint 15 p.

  Research output: Contribution to specialist publication › Article

  File

  • Labels
  186 Downloads (Pure)

• LCEval: Learned Composite Metric for Caption Evaluation

  Sharif, N., White, L., Bennamoun, M., Liu, W. & Shah, S. A. A., Oct 2019, In : International Journal of Computer Vision. 127, 10, p. 1586-1610

  Research output: Contribution to journal › Article

  • Linguistics
  • Neural networks
  • Composite materials

• 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-Based Confidence Estimation for Multi-modal Classifier Fusion

  Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., 15 Dec 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings: part II. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Australia: Springer, p. 299-312 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11954 LNCS).

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

  • Classifier Fusion
  • Confidence
  • Learning
  • Fusion reactions
  • Classifiers
  1 Citation (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 Latent Global Network for Skeleton-based Action Prediction

  Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2 Sep 2019, In : IEEE Transactions on Image Processing. p. 959-970

  Research output: Contribution to journal › Article

  • Lighting
  7 Citations (Scopus)

• Learning non-linear reconstruction models for image set classification

  Hayat, M., Bennamoun, M. & An, S., 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1915-1922

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

  • Face recognition
  • Deep learning
  58 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 Linguistically-aware Object Relations and NASNet for Image Captioning

  Sharif, N., Jalwana, M. A. A. K., Bennamoun, M., Liu, W. & Shah, S. A. A., 2020, 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p.

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

• 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)

• Linear Regression-based Classifier for audio visual person identification

  Alam, M., Togneri, R., Sohel, F., Bennamoun, M. & Naseem, I., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 5pp

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

• Machine Learning Approaches for Prediction of Facial Rejuvenation Using Real and Synthetic Data

  Shah, S. A. A., Bennamoun, M. & Molton, M. K., 2019, In : IEEE Access. 7, p. 23779-23787 9 p.

  Research output: Contribution to journal › Article

  Open Access
  2 Citations (Scopus)

• Machine learning-based prediction of heart failure readmission or death: implications of choosing the right model and the right metrics

  Awan, S. E., Bennamoun, M., Sohel, F., Sanfilippo, F. M. & Dwivedi, G., 1 Apr 2019, In : ESC Heart Failure. 6, 2, p. 428-435 8 p.

  Research output: Contribution to journal › Article

  Open Access

  • Machine Learning
  • Area Under Curve
  • Heart Failure
  • Neural Networks (Computer)
  • Sensitivity and Specificity
  9 Citations (Scopus)

• Message from CIT2013 Chairs

  Chen, J., Cao, J., Abawajy, J. H., Mauri, J. L., Bennamoun, M., Gościński, A. M., Blumenstein, M., Wei, D. & Yang, L. T., 2013, In : Proceedings - 16th IEEE International Conference on Computational Science and Engineering, CSE 2013. p. xxiii

  Research output: Contribution to journal › Letter

• Meta-transfer learning driven tensor-shot detector for the autonomous localization and recognition of concealed baggage threats

  Hassan, T., Shafay, M., Akçay, S., Khan, S., Bennamoun, M., Damiani, E. & Werghi, N., 2 Nov 2020, In : Sensors (Switzerland). 20, 22, p. 1-25 25 p., 6450.

  Research output: Contribution to journal › Article

  Open Access

  • baggage
  • Transfer (Psychology)
  • learning
  • Tensors
  • shot

• Model-free segmentation and grasp selection of unknown stacked objects

  Asif, U., Bennamoun, M. & Sohel, F., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8693 LNCS. p. 659-674

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

• Multibiometric human recognition using 3D ear and face features

  Islam, S., Davies, R., Bennamoun, M., Owens, R. & Mian, A., Mar 2013, In : Pattern Recognition. 46, 3, p. 613-627

  Research output: Contribution to journal › Article

  • Biometrics
  • Fusion reactions
  25 Citations (Scopus)

• Nature-inspired techniques in the context of fraud detection

  Behdad, M., Barone, L., Bennamoun, M. & French, T., 2012, In : IEEE Transactions on Systems, Man and Cybernetics Part C: Applications and Reviews. 42, 6, p. 1273 - 1290

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

• NormalNet: A voxel-based CNN for 3D object classification and retrieval

  Wang, C., Cheng, M., Sohel, F., Bennamoun, M. & Li, J., 5 Jan 2019, In : Neurocomputing. 323, p. 139-147 9 p.

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

• 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

• 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)

  319 Downloads (Pure)

• 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)

• 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)

• 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
  220 Citations (Scopus)

• 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)

• 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

• Partial fingerprint reconstruction with improved smooth extension

  Zhou, W., Hu, J., Petersen, I. & Bennamoun, M., 2013, Network and System Security. Lopez, J. & Sandhu, R. (eds.). USA: Springer, Vol. 7873 LNCS. p. 756 - 762

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

  10 Downloads (Pure)

• 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 2D to 3D Fingerprint Recognition

  Zhou, W., Petersen, I., Hu, J., Wang, S. & Bennamoun, M., 2013, Proceedings of the 2013 6th International Congress on Image and Signal Processing CISP 2013. Online: IEEE, Institute of Electrical and Electronics Engineers, Vol. 3. p. 1736-1741

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