Find Research outputs

Search results

• Extracting deep bottleneck features for visual speech recognition

  Sui, C., Togneri, R. & Bennamoun, M., 2015, ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-August. p. 1518-1522

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

  • Speech recognition
  • Deep learning
  • Acoustics
  12 Citations (Scopus)

• Exploiting layerwise convexity of rectifier networks with sign constrained weights

  An, S., Boussaid, F., Bennamoun, M. & Sohel, F., 1 Sep 2018, In : Neural Networks. 105, p. 419-430 12 p.

  Research output: Contribution to journal › Article

  Open Access

  • Weights and Measures
  • Discriminant Analysis
  • Statistical Factor Analysis

• Evolutionary Feature Learning for 3D Object Recognition

  Shah, S. A. A., Bennamoun, M., Boussaid, F. & While, L., 2018, In : IEEE Access. 6, p. 2434-2444

  Research output: Contribution to journal › Article

  Open Access

  • Object recognition
  • Salix
  • Glossaries
  • Navigation
  • Robots
  7 Citations (Scopus)

• Evaluation of Spatiotemporal Detectors and Descriptors for Facial Expression Recognition

  Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 5th International Conference on Human System Interaction. Australia: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 43-47

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

• Evaluating Shape and Appearance Descriptors for 3D Human Pose Estimation

  Sedai, S., Bennamoun, M. & Huynh, D., 2011, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics & Applications. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 287-292

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

  4 Citations (Scopus)

• Empowering Simple Binary Classifiers for Image Set Based Face Recognition

  Hayat, M., Khan, S. H. & Bennamoun, M., 1 Jul 2017, In : International Journal of Computer Vision. 123, 3, p. 479-498 20 p.

  Research output: Contribution to journal › Article

  • Face recognition
  • Classifiers
  • Object recognition
  • Security systems
  • Cameras
  19 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)

• Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees

  Asif, U., Bennamoun, M. & Sohel, F., 2015, 2015 IEEE International Conference on Robotics and Automation (ICRA). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015-June. p. 1295-1302

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

  • Decision trees
  • Fusion reactions
  • Pixels
  • Classifiers
  • Sensors
  22 Citations (Scopus)

• Efficient Image Set Classification Using Linear Regression Based Image Reconstruction

  Shah, S. A. A., Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., 22 Aug 2017, Proceedings - 30th IEEE Conference on Computer Vision and Pattern Recognition Workshops, CVPRW 2017. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-July. p. 601-610 10 p. 8014822

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

  • Image reconstruction
  • Linear regression
  17 Citations (Scopus)

• Efficient finer-grained incremental processing with MapReduce for big data

  Zhang, L., Feng, Y., Shen, P., Zhu, G., Wei, W., Song, J., Ali Shah, S. A. & Bennamoun, M., 1 Mar 2018, In : Future Generation Computer Systems. 80, p. 102-111 10 p.

  Research output: Contribution to journal › Article

  • Distributed computer systems
  • Big data
  • Cluster computing
  • Information technology
  • Wear of materials
  3 Citations (Scopus)

• Efficient Detection of Pixel-Level Adversarial Attacks

  Shah, S. A. A., Bougre, M., Akhtar, N., Bennamoun, M. & Zhang, L., Oct 2020, 2020 IEEE International Conference on Image Processing, ICIP 2020 - Proceedings. United Arab Emirates: IEEE, Institute of Electrical and Electronics Engineers, p. 718-722 5 p. 9191084. (Proceedings - International Conference on Image Processing, ICIP; vol. 2020-October).

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

  • Pixels
  • Robotics
  • Object recognition
  • Deep learning
  • Chemical activation

• Efficient Detection and Recognition of 3D Ears

  Islam, S., Davies, R., Bennamoun, M. & Mian, A., 1 Apr 2011, In : International Journal of Computer Vision. 95, 1, p. 52-73

  Research output: Contribution to journal › Article

  Open Access

  File

  • Adaptive boosting
  • Detectors
  • Biometrics
  • Classifiers
  • Geometry
  62 Citations (Scopus)

  389 Downloads (Pure)

• 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
  2 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)

• 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
  19 Citations (Scopus)

• Discriminative feature learning for efficient RGB-D object recognition

  Asif, U., Bennamoun, M. & Sohel, F., 2015, IEEE International Conference on Intelligent Robots and Systems. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2015. p. 272-279

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

  • Object recognition
  • Sensors
  8 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

• Discrimination comparison between audio and visual features

  Sui, C., Togneri, R., Haque, S. & Bennamoun, M., 2012, 2012 Conference Record of the Forty Sixth Asilomar Conference on Signals, Systems and Computers (ASILOMAR 2012). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1609-1612

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

• 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
  1 Citation (Scopus)

• Developing and testing a new machine learning method to identify patients with heart failure who are at risk of 30-day readmission or mortality

  Awan, S. E., Bennamoun, M., Sanfilippo, F., Sohel, F., Shah, S., Rankin, J. & Dwivedi, G., 2018, In : Heart, Lung and Circulation.

  Research output: Contribution to journal › Abstract/Meeting Abstract

• 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
  123 Citations (Scopus)

  11 Downloads (Pure)

• 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

• Deep learning on underwater marine object detection: a survey

  Moniruzzaman, M., Islam, S. M. S., Bennamoun, M. & Lavery, P., 2017, International conference on advanced concepts for intelligent vision systems (ACIVS). Springer, Vol. 10617 LNCS. p. 150-160 11 p. (Lecture Notes in Computer Science ).

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

  • Object detection
  • Deep learning
  • Deep neural networks
  • Monitoring
  • Ecosystems
  41 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 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
  17 Citations (Scopus)

  481 Downloads (Pure)

• 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 Boltzmann Machines for i-Vector Based Audio-Visual Person Identification

  Alam, M. R., Bennamoun, M., Togneri, R. & Sohel, F., 2016, Image and Video Technology, PSIVT 2015. Bräunl, T., McCane, B., Rivera, M. & Yu, X. (eds.). USA: Springer-Verlag London Ltd., Vol. 9431. p. 631-641 11 p. (Lecture Notes in Computer Science).

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

  • Backpropagation
  • Classifiers
  • Experiments
  3 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
  186 Citations (Scopus)

• Coral classification with hybrid feature representations

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R., 2016, 2016 IEEE International Conference on Image Processing . Karam, L. (ed.). USA: Wiley-IEEE Press, p. 519-523 5 p.

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

  • Reefs
  • Textures
  • Pixels
  • Color
  36 Citations (Scopus)

• Contractive Rectifier Networks for Nonlinear Maximum Margin Classification

  An, S., Hayat, M., Khan, S. H., Bennamoun, M., Boussaid, F. & Sohel, F., 2015, 2015 IEEE International Conference on Computer Vision (ICCV). Chile: IEEE, Institute of Electrical and Electronics Engineers, p. 2515-2523

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

• Constructing specialised corpora through analysing domain representativeness of websites

  Wong, W., Liu, W. & Bennamoun, M., 2011, In : Language Resources and Evaluation. 45, 2, p. 209-241

  Research output: Contribution to journal › Article

  • Specialized Corpora
  • Representativeness
  • Web Sites
  • search engine
  • website
  4 Citations (Scopus)

• Confidence-based rank-level fusion for audio-visual person identification system

  Alam, M. R., Bennamoun, M., Togneri, R. & Sohel, F., 2014, Proceedings of the 3rd International Conference on Pattern Recognition Applications and Methods. Scitepress, Vol. -. p. 608-615

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

• 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)

• 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

• Classification of corals in reflectance and fluorescence images using convolutional neural network representations

  Xu, L., Bennamoun, M., An, S., Sohe, F. & Boussaid, F., 10 Sep 2018, 2018 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2018 - Proceedings. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2018-April. p. 1493-1497 5 p. 8462574

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

  • Fluorescence
  • Neural networks
  • Principal component analysis
  • Chemical activation
  5 Citations (Scopus)

• 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)

• Binary Descriptor Based on Heat Diffusion for Non-rigid Shape Analysis

  Wang, X., Sohel, F., Bennamoun, M. & Lei, H., 2016, Pacific-Rim Symposium on Image and Video Technology. Bräunl, T., McCane, B., Rivera, M. & Yu, X. (eds.). USA: Springer, p. 751-761 11 p. (Lecture Notes in Computer Science ; vol. 9431).

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

  • Hamming distance
  • Hot Temperature
  • Experiments
  2 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
  115 Citations (Scopus)

  666 Downloads (Pure)

• 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 Feature Learning for Robust Shadow Detection

  Khan, S. H., Bennamoun, M., Sohel, F. & Togneri, R., 2014, IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1939-1946

  Research output: Chapter in Book/Conference paper › Conference paper
  69 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 annotation of coral reefs using deep learning

  Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. & Fisher, R. B., 28 Nov 2016, OCEANS 2016 MTS/IEEE Monterey, OCE 2016. Zande, J. & Kirkwood, B. (eds.). IEEE, Institute of Electrical and Electronics Engineers, 7761105

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

  • coral reefs
  • annotations
  • Reefs
  • ecosystems
  • Aquatic ecosystems
  20 Citations (Scopus)

• Automatic 3D Face Landmark Localization Based on 3D Vector Field Analysis

  Shah, S. A. A., Bennamoun, M. & Boussaid, F., 2015, 2015 International Conference on Image and Vision Computing New Zealand (IVCNZ). Auckland, NZ: Wiley-IEEE Press

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

  • Animation
  • Face recognition
  1 Citation (Scopus)

• 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)

• Audio-Visual Biometric Recognition Via Joint Sparse Representations

  Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 2016, Proceedings of the 23rd International Conference on Pattern Recognition (ICPR). Bayro-Corrochano, E. (ed.). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 3026-3030

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

  • Biometrics
  • Identification (control systems)
  • Fusion reactions
  • Pixels
  1 Citation (Scopus)

  12 Downloads (Pure)

• 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
  55 Citations (Scopus)

• Attention in Convolutional LSTM for Gesture Recognition

  Shah, S., Bennamoun, M. & Zhang, L., 1 Oct 2018, In : Advances in Neural Information Processing Systems.

  Research output: Contribution to journal › Conference article

  • Long short-term memory
  • Gesture recognition
  • Fusion reactions
  • Convolution
  • Neural networks
  13 Citations (Scopus)

• Attack to Explain Deep Representation

  Jalwana, M. A. A. K., Akhtar, N., Bennamoun, M. & Mian, A., 2020, In : Proceedings of the IEEE Computer Society Conference on Computer Vision and Pattern Recognition. p. 9540-9549 10 p., 9156888.

  Research output: Contribution to journal › Conference article

  • Labels
  • Classifiers
  • Deep learning
  • Casting
  • Demonstrations
  1 Citation (Scopus)

• A training-free nose tip detection method from face range images

  Peng, X., Bennamoun, M. & Mian, A., Mar 2011, In : Pattern Recognition. 44, 3, p. 544-558

  Research output: Contribution to journal › Article

  • Face recognition
  • Graphics processing unit
  • MATLAB
  • Pixels
  • Computer hardware
  39 Citations (Scopus)

  9 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