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• Conference paper

  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

• 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)

• 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 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)

• 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)

• 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
  299 Downloads (Pure)

• 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

• Relationship detection based on object semantic inference and attention mechanisms

  Zhang, L., Zhang, S., Shen, P., Zhu, G., Shah, S. A. A. & Bennamoun, M., 5 Jun 2019, ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval. USA: Association for Computing Machinery (ACM), p. 68-72 5 p. (ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval).

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

  Open Access

  • Semantics
  • Image understanding
  • Genes
  2 Citations (Scopus)

• 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
  11 Citations (Scopus)

• 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)

• 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
  11 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)

• 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)

• 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)

• 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)

• 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)

• 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)

• 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

• 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)
• Edited book/Anthology

  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)
• Entry for encyclopedia/dictionary

  Feature selection for 2D and 3D face recognition

  Bennamoun, M., Guo, Y. & Sohel, F., 15 Jun 2015, Wiley encyclopedia of electrical and electronics engineering. Kurzman, B. (ed.). Hoboken, NJ: John Wiley & Sons

  Research output: Chapter in Book/Conference paper › Entry for encyclopedia/dictionary

  • Face recognition
  • Feature extraction
  • Virtual reality
  • Data acquisition
  • Fusion reactions
• Letter

  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)
• Other chapter contribution

  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
• Review article

  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)

• Machine learning in heart failure: Ready for prime time

  Awan, S. E., Sohel, F., Sanfilippo, F. M., Bennamoun, M. & Dwivedi, G., 1 Mar 2018, In : Current Opinion in Cardiology. 33, 2, p. 190-195 6 p.

  Research output: Contribution to journal › Review article

  • Machine Learning
  • Deep Learning
  • Heart Failure
  • Big Data
  • Cost Savings
  16 Citations (Scopus)

• 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