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• Chapter

  Computer Vision for Human-Machine Interaction

  Ke, Q., Liu, J., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 2018, Computer Vision for Assistive Healthcare. Marco, L. & Farinella, G. M. (eds.). Academic Press, p. 127-145

  Research output: Chapter in Book/Conference paper › Chapter

  • Gesture recognition
  • Computer vision
  • Deep learning
  • User interfaces
  • Neural networks
  14 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 for driverless vehicles

  Hodges, C., An, S., Rahmani, H. & Bennamoun, M., 1 Jan 2019, Smart Innovation, Systems and Technologies. Springer Science + Business Media, Vol. 136. p. 83-99 17 p. (Smart Innovation, Systems and Technologies; vol. 136).

  Research output: Chapter in Book/Conference paper › Chapter

  • Deep Learning
  • Autonomous Vehicles
  • Deep learning
  • Automation
  • Autonomous vehicles
  2 Citations (Scopus)

• Deep learning for marine species recognition

  Xu, L., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 1 Jan 2019, Handbook of Deep Learning Applications. Bales, V. E., Roy, S. S., Sharma, D. & Samui, P. (eds.). USA: Springer Science + Business Media, p. 129-145 17 p. (Smart Innovation, Systems and Technologies; vol. 136).

  Research output: Chapter in Book/Conference paper › Chapter

  • Deep Learning
  • Deep learning
  • Computer Vision
  • Computer vision
  • Plankton
  6 Citations (Scopus)

• Deep learning for scene understanding

  Nadeem, U., Shah, S. A. A., Sohel, F., Togneri, R. & Bennamoun, M., 19 Mar 2019, Handbook of deep learning applications. Balas, V. E., Roy, S. S., Sharma, D. & Samui, P. (eds.). Cham: Springer, p. 21-51 27 p. (Smart Innovation, Systems and Technologies; vol. 136).

  Research output: Chapter in Book/Conference paper › Chapter

  • Deep learning
  • Computer vision
  • Neural networks
  • Network architecture
  • Computer hardware
  2 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

• 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

• 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
• Book

  3D Shape Analysis: Fundamentals, Theory, and Applications

  Laga, H., Guo, Y., Tabia, H., Fisher, R. & Bennamoun, M., 2019, Wiley-Blackwell. 368 p.

  Research output: Book/Report › Book

• A Guide to Convolutional Neural Networks for Computer Vision

  Khan, S., Rahmani, H., Shah, S. A. A. & Bennamoun, M., 2018, Morgan & Claypool Publishers. 207 p. (Synthesis Lectures on Computer Vision; vol. 8, no. 1)

  Research output: Book/Report › Book

  • Computer vision
  • Neural networks
  • Image classification
  • Sports medicine
  • Network layers

• Neural Representations of Natural Language

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, 1 ed. Austria: Springer. 122 p. (Studies in Computational Intelligence; vol. 783)

  Research output: Book/Report › Book

  • Neural networks
  • Recurrent neural networks
  • Byproducts
• Article

  3-D face recognition using curvelet local features

  Elaiwat, S., Bennamoun, M., Boussaïd, F. & El-Sallam, A., Feb 2014, In : IEEE Signal Processing Letters. 21, 2, p. 172-175 4 p.

  Research output: Contribution to journal › Article

  • Face Recognition
  • Curvelet
  • Local Features
  • Facial Expression
  • 3D
  41 Citations (Scopus)

• 3D object recognition in cluttered scenes with local surface features: A survey

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M. & Wan, J., 1 Nov 2014, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 36, 11, p. 2270-2287 18 p.

  Research output: Contribution to journal › Article

  • 3D Object Recognition
  • Object recognition
  • Local Features
  • Occlusion
  • Clutter
  355 Citations (Scopus)

  12 Downloads (Pure)

• 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 confidence-based late fusion framework for audio-visual biometric identification

  Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 15 Jan 2015, In : Pattern Recognition Letters. 52, p. 65-71

  Research output: Contribution to journal › Article

  Open Access

  File

  • Biometrics
  • Fusion reactions
  • Experiments
  21 Citations (Scopus)

  422 Downloads (Pure)

• A Curvelet-based approach for textured 3D face recognition

  Elaiwat, S., Bennamoun, M., Boussaïd, F. & El-Sallam Abd, A., Apr 2015, In : Pattern Recognition. 48, 4, p. 1235-1246

  Research output: Contribution to journal › Article

  • Face recognition
  • Frequency bands
  • Textures
  • Lighting
  • Detectors
  45 Citations (Scopus)

  11 Downloads (Pure)

• A Fractional Gradient Descent-Based RBF Neural Network

  Khan, S., Naseem, I., Malik, M. A., Togneri, R. & Bennamoun, M., Dec 2018, In : Circuits, Systems and Signal Processing. 37, 12, p. 5311-5332 22 p.

  Research output: Contribution to journal › Article

  • RBF Neural Network
  • Radial Basis Function Neural Network
  • Gradient Descent
  • Fractional
  • Neural networks
  17 Citations (Scopus)

• A Gaussian process guided particle filter for tracking 3d human pose in video

  Sedai, S., Bennamoun, M. & Huynh, D., 2013, In : IEEE Transactions on Image Processing. 22, 11, p. 4286-4300

  Research output: Contribution to journal › Article

  • Gaussian distribution
  • Supervised learning
  • Annealing
  • Experiments
  23 Citations (Scopus)

  10 Downloads (Pure)

• A high-performance spectral-spatial residual network for hyperspectral image classification with small training data

  Khotimah, W. N., Bennamoun, M., Boussaid, F., Sohel, F. & Edwards, D., Oct 2020, In : Remote Sensing. 12, 19, 3137.

  Research output: Contribution to journal › Article

  Open Access

  • image classification
  • normalization
  • spatial data
  • state of the art
  • speed

• A low-cost implementation of a 360° vision distributed aperture system

  Peng, X., Bennamoun, M., Wang, Q., Ma, Q. & Xu, Z., 2015, In : IEEE Transactions on Circuits and Systems for Video Technology. 25, 2, p. 225-238

  Research output: Contribution to journal › Article

  • Cameras
  • Costs
  • Computer hardware
  • Personal computers
  • Graphics processing unit
  3 Citations (Scopus)

• A Multi-modal, Discriminative and Spatially Invariant CNN for RGB-D Object Labeling

  Asif, U., Bennamoun, M. & Sohel, F., 1 Sep 2018, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 40, 9, p. 2051-2065

  Research output: Contribution to journal › Article

  • Labeling
  • Object
  • Neural networks
  • Invariant
  • Image classification
  17 Citations (Scopus)

• An accurate and robust range image registration algorithm for 3D object modeling

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., Aug 2014, In : IEEE Transactions on Multimedia. 16, 5, p. 1377-1390

  Research output: Contribution to journal › Article

  • Image registration
  • Seed
  • Statistics
  • Set theory
  95 Citations (Scopus)

• An automatic framework for textured 3D video-based facial expression recognition

  Hayat, M. & Bennamoun, M., Jul 2014, In : IEEE Transactions on Affective Computing. 5, 3, p. 301-313

  Research output: Contribution to journal › Article

  • Hilbert spaces
  • Clustering algorithms
  • Fusion reactions
  29 Citations (Scopus)

  10 Downloads (Pure)

• An efficient 3D face recognition approach based on the fusion of novel local low-level features

  Lei, Y., Bennamoun, M. & El-Sallam Abd, A., 2013, In : Pattern Recognition. 46, 1, p. 24-37

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

• An efficient 3D face recognition approach using local geometrical signatures

  Lei, Y., Bennamoun, M., Hayat, M. & Guo, Y., Feb 2014, In : Pattern Recognition. 47, 2, p. 509-524 16 p.

  Research output: Contribution to journal › Article

  • Face recognition
  • Experiments
  • Computational efficiency
  • Principal component analysis
  • Support vector machines
  75 Citations (Scopus)

  10 Downloads (Pure)

• An Improved Colour-to-Grey Method Using Image Segmentation and the Colour Difference Model for Colour Vision Deficiency

  Zhang, L., Xu, Q., Zhu, G., Song, J., Zhang, X., Shen, P., Wei, W., Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : IET Image Processing. 12, 3, p. 314 – 319 6 p.

  Research output: Contribution to journal › Article

  • Color vision
  • Image segmentation
  • Color
  10 Citations (Scopus)

• An Integrated Framework for 3-D Modeling, Object Detection, and Pose Estimation From Point-Clouds

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M. & Wan, J., Mar 2015, In : IEEE Transactions on Instrumentation and Measurement. 64, 3, p. 683-693 11 p.

  Research output: Contribution to journal › Article

  • 3D modeling
  • Object detection
  • clutter
  • computer vision
  • occlusion
  44 Citations (Scopus)

• A novel 3D vorticity based approach for automatic registration of low resolution range images

  Shah, S. A. A., Bennamoun, M. & Boussaid, F., Sep 2015, In : Pattern Recognition. 48, 9, p. 2859-2871

  Research output: Contribution to journal › Article

  Open Access

  File

  • Vorticity
  • Image registration
  21 Citations (Scopus)

  443 Downloads (Pure)

• 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 novel information theoretic approach to gene selection for cancer classification using microarray data

  Naseem, I., Togneri, R. & Bennamoun, M., 2015, In : Current Bioinformatics. 10, 4, p. 431-440

  Research output: Contribution to journal › Article

  • Cancer Classification
  • Gene Selection
  • Microarray Data
  • Microarrays
  • Neoplasm Genes

• A novel local surface feature for 3D object recognition under clutter and occlusion

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 1 Feb 2015, In : Information Sciences. 293, p. 196-213

  Research output: Contribution to journal › Article

  Open Access

  File

  • 3D Object Recognition
  • Occlusion
  • Clutter
  • Object recognition
  • Recognition Algorithm
  77 Citations (Scopus)

  471 Downloads (Pure)

• A review of Recent Advances in 3D ear and Expression Invariant Face Biometrics

  Islam, S., Bennamoun, M., Owens, R. & Davies, R., 2012, In : ACM Computing Surveys. 44, 3, p. 1-40 14.

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

  12 Downloads (Pure)

• A Survey on Deep Learning Techniques for Stereo-based Depth Estimation

  Laga, H., Jospin, L. V., Boussaid, F. & Bennamoun, M., 22 Oct 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. p. 1-1 28 p.

  Research output: Contribution to journal › Article

  • Depth Estimation
  • Deep learning
  • Learning
  • Community
  • Stereo Matching

• A Unified Framework for Brain Segmentation in MR Images

  Yazdani, S., Yusof, R., Karimian, A., Riazi, A. H. & Bennamoun, M., 2015, In : Computational and Mathematical Methods in Medicine. 2015, p. 829893

  Research output: Contribution to journal › Article

  8 Citations (Scopus)

• Automated segmentation of gravel particles from depth images of gravel-soil mixtures

  Rahmani, H., Scanlan, C., Nadeem, U., Bennamoun, M. & Bowles, R., Jul 2019, In : Computers & Geosciences. 128, p. 1-10 10 p.

  Research output: Contribution to journal › Article

  Open Access
  3 Citations (Scopus)

• Automatic detection of western rock lobster using synthetic data

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R. & Kendrick, G., 1 Jul 2020, In : ICES Journal of Marine Science. 77, 4, p. 1308-1317 10 p.

  Research output: Contribution to journal › Article

  • automatic detection
  • lobster
  • lobsters
  • rocks
  • rock
  3 Citations (Scopus)

• Automatic hierarchical classification of kelps using deep residual features

  Mahmood, A., Ospina, A. G., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Fisher, R. B. & Kendrick, G. A., 2 Jan 2020, In : Sensors (Switzerland). 20, 2, 447.

  Research output: Contribution to journal › Article

  Open Access

  • Kelp
  • seaweeds
  • margins
  • organisms
  • Biota
  4 Citations (Scopus)

• Color vision deficiency datasets & recoloring evaluation using GANs

  Li, H., Zhang, L., Zhang, X., Zhang, M., Zhu, G., Shen, P., Li, P., Bennamoun, M. & Shah, S. A. A., 1 Oct 2020, In : Multimedia Tools and Applications. 79, 37-38

  Research output: Contribution to journal › Article

  • Color vision
  • Color
  • Screening
  • Bicycles
  • Testing

• Continuous Gesture Segmentation and Recognition using 3DCNN and Convolutional LSTM

  Zhu, G., Zhang, L., Shen, P., Song, J., Shah, S. A. A. & Bennamoun, M., Apr 2019, In : IEEE Transactions on Multimedia. p. 1011-1021

  Research output: Contribution to journal › Article

  • Gesture recognition
  • Long short-term memory
  • Neural networks
  • Hinges
  • Network architecture
  10 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
  177 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 Image Representations for Coral Image Classification

  Mahmood, A., Bennamoun, M., An, S., Sohel, F. A., Boussaid, F., Hovey, R., Kendrick, G. A. & Fisher, R. B., 12 Jan 2018, In : IEEE Journal of Oceanic Engineering. 11 p.

  Research output: Contribution to journal › Article

  Open Access

  File

  • Reefs
  • Image classification
  • Autonomous underwater vehicles
  • Deep learning
  • Aquatic ecosystems
  16 Citations (Scopus)

  444 Downloads (Pure)

• Deep learning-based 3D local feature descriptor from Mercator projections

  Rezaei, M., Rezaeian, M., Derhami, V., Sohel, F. & Bennamoun, M., Oct 2019, In : Computer Aided Geometric Design. 74, 101771.

  Research output: Contribution to journal › Article

  • Local Features
  • Descriptors
  • Deep neural networks
  • Deep learning
  • Learning
  2 Citations (Scopus)

• Deep reconstruction models for image set classification

  Hayat, M., Bennamoun, M. & An, S., Apr 2015, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 37, 4, p. 713-727

  Research output: Contribution to journal › Article

  • Template
  • Video Surveillance
  • Face Recognition
  • Model
  • Boltzmann Machine
  121 Citations (Scopus)

  11 Downloads (Pure)

• Diffusion geometry derived keypoints and local descriptors for 3D deformable shape analysis

  Wang, X., Bennamoun, M., Sohel, F. & Lei, H., 2020, In : Journal of Circuits, Systems and Computers. 2150016X-1.

  Research output: Contribution to journal › Article

  • Geometry
  • Hot Temperature
  • Detectors
  • Mobile computing
  • Experiments
  2 Citations (Scopus)

• 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

• Discriminative fusion of shape and appearance features for human pose estimation

  Sedai, S., Bennamoun, M. & Huynh, D., 2013, In : Pattern Recognition. 46, 12, p. 3223-3237

  Research output: Contribution to journal › Article

  • Fusion reactions
  15 Citations (Scopus)

• 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)

• Effect of prosthodontic planning on intercuspal occlusal contacts: Comparison of digital and conventional planning

  Abduo, J. T. J., Bennamoun, M., Tennant, M. & Mcgeachie, J., 2015, In : Computers in Biology and Medicine. 60, p. 143-150

  Research output: Contribution to journal › Article

  • Prosthodontics
  • Waxes
  • Planning
  • Tooth
  • Arches
  1 Citation (Scopus)

• Effect of prosthodontic planning on lateral occlusion scheme: A comparison between conventional and digital planning

  Abduo, J., Bennamoun, M., Tennant, M. & Mcgeachie, J., 2015, In : Journal of Applied Oral Science. 23, 2, p. 196-205

  Research output: Contribution to journal › Article

  Open Access

  • Prosthodontics
  • Waxes
  • Tooth
  • Canidae
  • Angle Class I Malocclusion
  1 Citation (Scopus)