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• Abstract/Meeting Abstract

  Artificial intelligence methods for real-time pharmacovigilance monitoring to predict adverse cardiac events

  Lu, J., Bennamoun, M., Sohel, F., Dwivedi, G., An, S., Rankin, J. & Sanfilippo, F., 2019, In : Heart, Lung & Circulation.

  Research output: Contribution to journal › Abstract/Meeting Abstract
• Article

  A Comprehensive Performance Evaluation of 3D Local Feature Descriptors

  Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. & Kwok, N. M., Jan 2016, In : International Journal of Computer Vision. 116, 1, p. 66-89

  Research output: Contribution to journal › Article

  • Shot noise
  • 3D modeling
  • Object recognition
  • Computational efficiency
  • Industry
  295 Citations (Scopus)

  11 Downloads (Pure)

• A Discriminative Representation of Convolutional Features for Indoor Scene Recognition

  Khan, S., Hayat, M., Bennamoun, M., Togneri, R. & Sohel, F. A., Jul 2016, In : IEEE Transactions on Image Processing. 25, 7, p. 3372-3383

  Research output: Contribution to journal › Article

  • Chemical activation
  • Object recognition
  • Neural networks
  51 Citations (Scopus)

• 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 joint Deep Boltzmann Machine (jDBM) Model for Person Identification using Mobile Phone Data

  Alam, M., Bennamoun, M., Togneri, R. & Sohel, F., 5 Oct 2016, In : IEEE Transactions on Multimedia. 19, 2, p. 317-326

  Research output: Contribution to journal › Article

  • Cellular telephones
  • Image recognition
  • Bayesian networks
  • Chemical activation
  • Logistics
  15 Citations (Scopus)

• A novel feature representation for automatic 3D object recognition in cluttered scenes

  Shah, S. A. A., Bennamoun, M. & Boussaid, F., 12 Sep 2016, In : Neurocomputing. 205, p. 1-15

  Research output: Contribution to journal › Article

  • Object recognition
  • Datasets
  • Vorticity
  • Detectors
  18 Citations (Scopus)

  10 Downloads (Pure)

• An RGB-D based image set classification for robust face recognition from Kinect data

  Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 1 Jan 2016, In : Neurocomputing. 171, p. 889-900

  Research output: Contribution to journal › Article

  • Facial Recognition
  • Lie groups
  • Face recognition
  • Set theory
  • Facial Expression
  20 Citations (Scopus)

• 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 semantic RBM-based model for image set classification

  Elaiwat, S., Bennamoun, M. & Boussaid, F., 12 Sep 2016, In : Neurocomputing. 205, p. 507-518

  Research output: Contribution to journal › Article

  • Semantics
  • Surface structure
  • Facial Recognition
  • Face recognition
  • Datasets
  8 Citations (Scopus)

• A spatial layout and scale invariant feature representation for indoor scene classification

  Hayat, M., Khan, S. H., Bennamoun, M. & An, S., Oct 2016, In : IEEE Transactions on Image Processing. 25, 10, p. 4829-4841

  Research output: Contribution to journal › Article

  Open Access

  File

  • Invariance
  • Sports
  • Network architecture
  • Chemical activation
  • Neural networks
  27 Citations (Scopus)

  508 Downloads (Pure)

• A spatio-temporal RBM-based model for facial expression recognition

  Elaiwat, S., Bennamoun, M. & Boussaid, F., Jan 2016, In : Pattern Recognition. 49, p. 152-161

  Research output: Contribution to journal › Article

  • Interfaces (computer)
  • Labels
  • Experiments
  45 Citations (Scopus)

  10 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 Two-Phase Weighted Collaborative Representation for 3D partial face recognition with single sample

  Lei, Y., Guo, Y., Hayat, M., Bennamoun, M. & Zhou, X., 2016, In : Pattern Recognition. 52, p. 218-237 20 p.

  Research output: Contribution to journal › Article

  • Face recognition
  • Statistics
  • Availability
  • Set theory
  58 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
  5 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)

• Automatic shadow detection and removal from a single image

  Khan, S. H., Bennamoun, M., Sohel, F. & Togneri, R., 1 Mar 2016, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 38, 3, p. 431-446 16 p.

  Research output: Contribution to journal › Article

  Open Access

  File
  120 Citations (Scopus)

  680 Downloads (Pure)

• Block Level Skip Connections across Cascaded V-Net for Multi-Organ Segmentation

  Zhang, L., Zhang, J., Shen, P., Zhu, G., Li, P., Lu, X., Zhang, H., Shah, S. A. & Bennamoun, M., Sep 2020, In : IEEE Transactions on Medical Imaging. 39, 9, p. 2782-2793 12 p., 9006924.

  Research output: Contribution to journal › Article

  Open Access

  • Atlases
  • Esophagus
  • Datasets
  • Labeling
  • Crops
  2 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
  13 Citations (Scopus)

• 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)

• EI3D: Expression-invariant 3D face recognition based on feature and shape matching

  Guo, Y., Lei, Y., Liu, L., Wang, Y., Bennamoun, M. & Sohel, F., 1 Nov 2016, In : Pattern Recognition Letters. 83, p. 403-412

  Research output: Contribution to journal › Article

  • Face recognition
  • Invariance
  19 Citations (Scopus)

• Enhanced q-least Mean Square

  Sadiq, A., Khan, S., Naseem, I., Togneri, R. & Bennamoun, M., 26 Mar 2019, In : Circuits, Systems, and Signal Processing. 23 p.

  Research output: Contribution to journal › Article

  • Least Mean Square
  • Q-calculus
  • Learning Rate
  • Stochastic Gradient
  • Gradient Algorithm
  8 Citations (Scopus)

• Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death

  Awan, S. E., Bennamoun, M., Sohel, F., Sanfilippo, F. M., Chow, B. J. & Dwivedi, G., 26 Jun 2019, In : PLoS One. 14, 6, e0218760.

  Research output: Contribution to journal › Article

  Open Access

  • heart failure
  • artificial intelligence
  • Machine Learning
  • Feature extraction
  • Machine learning
  5 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
  6 Citations (Scopus)

• 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)

  578 Downloads (Pure)

• 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
  6 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
  50 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
  279 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
  1 Citation (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
  11 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
  13 Citations (Scopus)

• 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

• 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
  28 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)

• 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)

• 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

• 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)

• 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)

• Review of Modelling and Simulating Crowds at Mass Gathering Events: Hajj as a Case Study

  Owaidah, A., Olaru, D., Bennamoun, M., Sohel, F. & Khan, N., 31 Mar 2019, In : JASSS. 22, 2, 36 p., 9.

  Research output: Contribution to journal › Article

  Open Access
  3 Citations (Scopus)

• 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)

• 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

• 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

• 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
  10 Citations (Scopus)

• 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)

• 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)