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• 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
• 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
• 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)
• Editorial

  Guest Editors' Introduction to the Special Issue on RGB-D Vision: Methods and Applications

  Bennamoun, M., Guo, Y., Tombari, F., Youcef-Toumi, K. & Nishino, K., 1 Oct 2020, In : IEEE Transactions on Pattern Analysis and Machine Intelligence. 42, 10, p. 2329-2332 4 p., 9185968.

  Research output: Contribution to journal › Editorial

  Open Access
• 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)
• Conference paper

  2D and 3D face recognition using convolutional neural network

  Hu, H., Shah, S. A. A., Bennamoun, M. & Molton, M., 19 Dec 2017, TENCON 2017 - 2017 IEEE Region 10 Conference. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-December. p. 133-138 6 p.

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

  • Face recognition
  • Neural networks
  • Chemical activation
  • Lighting
  • Testing
  8 Citations (Scopus)

• A benchmark 3D fingerprint database

  Zhou, W., Hu, J., Petersen, I. R., Wang, S. & Bennamoun, M., 2014, 2014 11th International Conference on Fuzzy Systems and Knowledge Discovery, FSKD 2014. IEEE, Institute of Electrical and Electronics Engineers, p. 935-940

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

  • Biometrics
  • Law enforcement
  11 Citations (Scopus)

• A Fully Automatic Framework for Prediction of 3D Facial Rejuvenation

  Shah, S. & Bennamoun, M., 4 Feb 2019, 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, 6 p. 8634657

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

  • Cosmetics
  • Fillers
  • Machine learning

• A model-free approach for the segmentation of unknown objects

  Asif, U., Bennamoun, M. & Sohel, F., 2014, IEEE/RSJ International Conference on Intelligent Robots and Systems. USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 4914-4921

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

• A new representation of skeleton sequences for 3D action recognition

  Ke, Q., Bennamoun, M., An, S., Sohel, F. & Boussaid, F., 2017, Proceedings: 30th IEEE Conference on Computer Vision and Pattern Recognition, CVPR 2017. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 4570-4579

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

  Open Access

  • Trajectories
  • Neural networks
  225 Citations (Scopus)

• An HMM-SVM-Based Automatic Image Annotation Approach

  Lei, Y., Wong, W., Liu, W. & Bennamoun, M., 2011, Computer Vision - ACCV 2010. Germany: Springer, Vol. 6495. p. 115-126

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

• An Improved Approach to Weakly Supervised Semantic Segmentation

  Xu, L., Bennamoun, M., An, S., Boussaid, F. & Sohel, F., 2019, International Conference on Acoustics, Speech, and Signal Processing (ICASSP). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1897-1901 8682788

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

  • Semantics
  • Volatile organic compounds
  • Deep neural networks
  • Image segmentation
  • Labels
  2 Citations (Scopus)

• A robust variable step size fractional least mean square (RVSS-FLMS) algorithm

  Khan, S., Usman, M., Naseem, I., Togneri, R. & Bennamoun, M., 2017, Proceedings - 2017 IEEE 13th International Colloquium on Signal Processing and its Applications, CSPA 2017. Taib, M. N. (ed.). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 8064914

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

  • Identification (control systems)
  • system identification
  • Experiments
  • evaluation
  7 Citations (Scopus)

• A Training-Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvenation

  Shah, S., Bennamoun, M. & Molton, M., 7 Feb 2019, 2018 International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, 8634685. (International Conference Image and Vision Computing New Zealand; vol. 2018-November).

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

  • Pixels

• 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)

• 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 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
  67 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)

• Bi-SAN-CAP: Bi-Directional Self-Attention for Image Captioning

  Hossain, M. Z., Sohel, F., Shiratuddin, M. F., Laga, H. & Bennamoun, M., 1 Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8946003. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Long short-term memory
  • Pipelines
  • Neural networks
  1 Citation (Scopus)

• 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)

• 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)

• Coral classification using densenet and cross-modality transfer learning

  Xu, L., Bennamoun, M., Boussaid, F., An, S. & Sohel, F., 2019, International Joint Conference on Neural Networks (IJCNN) . USA: IEEE, Institute of Electrical and Electronics Engineers

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

  • Fluorescence
  • Image classification
  1 Citation (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)

• 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)

• Deep Fusion Net for Coral Classification in Fluorescence and Reflectance Images

  Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8945925. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Fluorescence
  • Fusion reactions
  • Reefs
  • Aquatic ecosystems
  • Lighting
  1 Citation (Scopus)

• 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
  37 Citations (Scopus)

• Direct Image to Point Cloud Descriptors Matching for 6-DOF Camera Localization in Dense 3D Point Clouds

  Nadeem, U., Jalwana, M. A. A. K., Bennamoun, M., Togneri, R. & Sohel, F., 1 Jan 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Australia: Springer, p. 222-234 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11954 LNCS).

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

  • Point Cloud
  • Camera
  • Descriptors
  • Cameras
  • Query

• 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 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)

• 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)

• Faster R-CNN Based Deep Learning for Seagrass Detection from Underwater Digital Images

  Moniruzzaman, M., Islam, S. M. S., Lavery, P. & Bennamoun, M., Dec 2019, 2019 Digital Image Computing: Techniques and Applications, DICTA 2019. IEEE, Institute of Electrical and Electronics Engineers, 8946048. (2019 Digital Image Computing: Techniques and Applications, DICTA 2019).

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

  • Object detection
  • Deep learning
  • Detectors
  • Pipelines
  3 Citations (Scopus)

• Fingerprint indexing based on combination of novel minutiae triplet features

  Zhou, W., Hu, J., Wang, S., Petersen, I. R. & Bennamoun, M., 2014, Lecture Notes in Computer Science: Network and System Security. Au, M. H., Carminati, B. & Kuo, C-C. J. (eds.). Springer International Publishing Switzerland, Vol. 8792. p. 377-388

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

  • Experiments
  10 Citations (Scopus)

• FLMF: Fractional Least Mean Fourth Algorithm for Channel Estimation in non-Gaussian Environment

  Khan, S., Ahmed, N., Malik, M. A., Naseem, I., Togneri, R. & Bennamoun, M., 14 Dec 2017, 2017 International Conference on Information and Communication Technology Convergence. USA: Wiley-IEEE Press, p. 466-470 5 p. (International Conference on Information and Communication Technology Convergence).

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

• Forward-looking sonar image registration using polar transform

  Zhang, J., Sohel, F., Bian, H., Bennamoun, M. & An, S., 28 Nov 2016, OCEANS 2016 MTS/IEEE Monterey, OCE 2016. IEEE, Institute of Electrical and Electronics Engineers, 7761052

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

  • sonar
  • image registration
  • Sonar
  • Image registration
  • transform
  4 Citations (Scopus)

• Generalized joint sparse representation for multimodal biometric fusion of heterogeneous features

  Primorac, R., Togneri, R., Bennamoun, M. & Sohel, F., 30 Jan 2019, 2018 IEEE International Workshop on Information Forensics and Security (WIFS). USA: IEEE, Institute of Electrical and Electronics Engineers, 8630775

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

  • Biometrics
  • Fusion reactions
  • Experiments
  1 Citation (Scopus)

• Generating bags of words from the sums of their word embeddings

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 1 Jan 2018, Computational Linguistics and Intelligent Text Processing - 17th International Conference, CICLing 2016, Revised Selected Papers. Gelbukh, A. (ed.). Austria: Springer-Verlag Wien, p. 91-102 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9623 LNCS).

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

  • Information retrieval
  • Semantics
  • Data storage equipment
  • Neural networks
  • Meaning

• Generating Bags of Words from the Sums of their Word Embeddings

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 2016, International Conference on Intelligent Text Processing and Computational Linguistics (CICLing 2016). p. 1-12

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

• Geometry Driven Semantic Labeling of Indoor Scenes

  Khan, S., Bennamoun, M., Sohel, F. & Togneri, R., 2014, European Conference on Computer Vision. Online: Springer, Vol. 8689 LNCS. p. 679-694

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

• Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition

  Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. & Boussaid, F., 2019, Computer Vision – ACCV 2018 - 14th Asian Conference on Computer Vision, Revised Selected Papers. Mori, G., Li, H., Schindler, K. & Jawahar, C. V. (eds.). Springer-Verlag Berlin, p. 729-745 17 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11364 LNCS).

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

  Open Access

  • Action Recognition
  • Cross-entropy
  • Skeleton
  • Labels
  • Entropy
  3 Citations (Scopus)

• Heat Propagation Contours for 3D Non-rigid Shape Analysis

  Wang, X., Sohel, F., Bennamoun, M. & Lei, H., 2016, 2016 IEEE Winter Conference on Applications of Computer Vision (WACV). Hoogs, A. & Davis, L. (eds.). United States: IEEE, Institute of Electrical and Electronics Engineers, 7 p. 7477648

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

  • Hot Temperature
  • Geometry
  4 Citations (Scopus)

• Human interaction prediction using deep temporal features

  Ke, Q., Bennamoun, M., An, S., Boussaid, F. & Sohel, F., 2016, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Hua, G. & Jegou, H. (eds.). Springer-Verlag London Ltd., Vol. 9914 LNCS. p. 403-414 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 9914 LNCS).

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

  • Human
  • Prediction
  • Interaction
  • Image coding
  • Image Coding
  22 Citations (Scopus)

• Improving Image-Based Localization with Deep Learning: The Impact of the Loss Function

  Ward, I. R., Jalwana, M. A. A. K. & Bennamoun, M., 2020, Image and Video Technology - PSIVT 2019 International Workshops, Revised Selected Papers. Dabrowski, J. J., Rahman, A. & Paul, M. (eds.). Springer Link, p. 111-124 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11994 LNCS).

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

  • Loss Function
  • Deep learning
  • Learning
  • Term
  • Regression

• Integrating Visual Classifier Ensemble with Term Extraction for Automatic Image Annotation

  Lei, Y. J., Wong, W., Bennamoun, M. & Liu, W., 2011, Proceedings of the 2011 6th IEEE Conference on Industrial Electronics and Applications (ICIEA). Beijing, China: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1959-1965

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

  • Image annotation
  • Classifiers
  • Support vector machines
  1 Citation (Scopus)

• Learning Action Recognition Model from Depth and Skeleton Videos

  Rahmani, H. & Bennamoun, M., 22 Dec 2017, Proceedings of the 2017 IEEE International Conference on Computer Vision, ICCV 2017. IEEE, Institute of Electrical and Electronics Engineers, Vol. 2017-October. p. 5833-5842 10 p. 8237883

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

  • Sensors
  50 Citations (Scopus)

• Learning-based Composite Metrics for Improved Caption Evaluation

  Sharif, N., Bennamoun, M., White, L. R. & Shah, S., 2018, Proceedings of ACL 2018, Student Research Workshop. Australia: Association for Computational Linguistics, p. 14-20

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

  • Linguistics
  • Composite materials
  • Semantics
  • Image quality
  5 Citations (Scopus)

• Learning-Based Confidence Estimation for Multi-modal Classifier Fusion

  Nadeem, U., Bennamoun, M., Sohel, F. & Togneri, R., 15 Dec 2019, Neural Information Processing - 26th International Conference, ICONIP 2019, Proceedings: part II. Gedeon, T., Wong, K. W. & Lee, M. (eds.). Australia: Springer, p. 299-312 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11954 LNCS).

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

  • Classifier Fusion
  • Confidence
  • Learning
  • Fusion reactions
  • Classifiers
  1 Citation (Scopus)

• Learning deep structured network for weakly supervised change detection

  Khan, S. H., He, X., Porikli, F., Bennamoun, M., Sohel, F. & Togneri, R., 25 Aug 2017, 2017 International Joint Conference on Artificial Intelligence. Sierra, C. (ed.). Australia: International Joint Conferences on Artificial Intelligence, p. 2008-2015

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

  15 Citations (Scopus)

• Learning non-linear reconstruction models for image set classification

  Hayat, M., Bennamoun, M. & An, S., 2014, 2014 IEEE Conference on Computer Vision and Pattern Recognition. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1915-1922

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

  • Face recognition
  • Deep learning
  58 Citations (Scopus)