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• RGB-D Image-Based Object Detection: From Traditional Methods to Deep Learning Techniques

  Ward, I. R., Laga, H. & Bennamoun, M., 27 Oct 2019, RGB-D Image Analysis and Processing. Rosin, P. L., Lai, Y-K., Shao, L. & Liu, Y. (eds.). Netherlands: Springer, p. 169-201 33 p. (Advances in Computer Vision and Pattern Recognition).

  Research output: Chapter in Book/Conference paper › Chapter

  • Object detection
  • Deep learning
  • Computer vision
  • Availability
  • Learning algorithms

• 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)

• RoPS: A local feature descriptor for 3D rigid objects based on rotational projection statistics

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6

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

• Rotational Projection Statistics for 3D Local Surface Description and Object Recognition

  Guo, Y., Sohel, F., Bennamoun, M., Lu, M. & Wan, J., 2013, In : International Journal of Computer Vision. 105, 1, p. 63-86

  Research output: Contribution to journal › Article
  327 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

• 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)

• 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)

• Simultaneous dense scene reconstruction and Object Labeling

  Asif, U., Bennamoun, M. & Sohel, F., 2016, 2016 IEEE International Conference on Robotics and Automation (ICRA). Kragic, D. & Okamura, A. (eds.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 2255-2262 8 p. 7487374

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

  • Labeling
  • Sensors
  • Experiments
  8 Citations (Scopus)

• Single image dehazing using deep neural networks

  Hodges, C., Bennamoun, M. & Rahmani, H., 1 Dec 2019, In : Pattern Recognition Letters. 128, p. 70-77 8 p.

  Research output: Contribution to journal › Article

  • Deep neural networks
  • Deep learning
  • Network performance
  • Network architecture
  • Computer vision
  9 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

• 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)

• 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

• 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)

• 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)

• Three-dimensional image registration as a tool for forensic odontology: A preliminary investigation

  Abduo, J. & Bennamoun, M., 2013, In : American Journal of Forensic Medicine and Pathology. 34, 3, p. 260-266

  Research output: Contribution to journal › Article
  14 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

• 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
  1 Citation (Scopus)

• 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
  81 Citations (Scopus)

• TriSI: A distinctive local surface descriptor for 3D modeling and object recognition

  Guo, Y., Sohel, F., Bennamoun, M., Lu, M. & Wan, J., 2013, GRAPP & IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications. Spain: Scitepress, Vol. 1. p. 86-93

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

  47 Citations (Scopus)

• Unsupervised segmentation of unknown objects in complex environments

  Asif, U., Bennamoun, M. & Sohel, F., Jun 2016, In : Autonomous Robots. 40, 5, p. 805-829

  Research output: Contribution to journal › Article
  10 Citations (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

• 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

• Visual Speech Feature Representations: Recent Advances

  Sui, C., Bennamoun, M. & Togneri, R., 2016, Advances in Face Detection and Facial Image Analysis. Kawulok, M., Celebi, E. & Smolka, B. (eds.). USA: Springer US, p. 377-396 20 p.

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

• 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