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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
  19 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
• 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
  1 Citation (Scopus)
• Conference paper

  A 3D Audio-visual Corpus for Speech Recognition

  Sui, C., Haque, S., Togneri, R. & Bennamoun, M., 2012, Proceedings of the 14th Australasian International Conference on Speech Science and Technology. Australia: Australasian Speech Science and Technology Association Inc, Vol. 14. p. 125-128

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

• 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-based Approach to Speaker Identification using Class-specific Dictionaries

  Naseem, I., Togneri, R. & Bennamoun, M., 2012, Proceedings of the 14th Australasian International Conference on Speech Science and Technology. Australia: Australasian Speech Science and Technology Association Inc, Vol. 14. p. 57-60

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

• 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 Novel Approach to Calculate Body Segments Inertial Parameters from DXA and 3D Scanners Data

  Mourao Rossi, M., El-Sallam Abd, A., Benjanuvatra, N., Lyttle, A., Blanksby, B. & Bennamoun, M., 2012, Proceedings of the 4th International Conference on Computational Methods (ICCM2012). Australia: ICCM, Vol. 1. p. 1-9

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

• A structured template based 3D face recognition approach

  Lei, Y., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 27th Conference on Image and Vision Computing New Zealand. USA: Association for Computing Machinery (ACM), Vol. 1. p. 61-66

  Research output: Chapter in Book/Conference paper › Conference paper
  1 Citation (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
  2 Citations (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
  22 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)

• 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
  38 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)

• 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

• 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)

• 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

• 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)

• 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
  4 Citations (Scopus)

• 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
  6 Citations (Scopus)

• Freestyle swimming: an insight into propulsive and resistive mechanisms

  Honda, K. E., Keys, M., Lyttle, A., Alderson, J., Bennamoun, M. & El-Sallam Abd, A., 2012, ISBS - Conference Proceedings. Australia: International Society of Biomechanics in Sports, Vol. 1. p. 96-99

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

• Fully Automatic Face Recognition from 3D Videos

  Hayat, M., Bennamoun, M. & El-Sallam Abd, A., 2012, Proceedings of the 21st International Conference on Pattern Recognition. Japan: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1415-1418

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

  5 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

• 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
  23 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

• 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
  6 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)

• Leveraging Linguistically-aware Object Relations and NASNet for Image Captioning

  Sharif, N., Jalwana, M. A. A. K., Bennamoun, M., Liu, W. & Shah, S. A. A., 2020, 2020 35th International Conference on Image and Vision Computing New Zealand (IVCNZ). IEEE, Institute of Electrical and Electronics Engineers, p. 1-6 6 p. 9290719

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

  • Semantics
  • Experiments

• NNEval: Neural Network based Evaluation Metric for Image Captioning

  Sharif, N., White, L. R., Bennamoun, M. & Shah, S., 2018, ECCV. Springer, p. 39-55

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

  Open Access

  • Semantics
  • Neural networks
  • Linguistics
  • Experiments

• Novel low level local features for 3D expression invariant face recognition

  Hayat, M., Bennamoun, M., Lei, Y. & El-Sallam Abd, A., 2012, 12th International Conference on Control, Automation, Robotics & Vision. United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 194-198

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

• NovelPerspective: Identifying Point of View Characters

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 2018, Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics-System Demonstrations. Melbourne: Association for Computational Linguistics, Vol. 2. p. 7-12 6 p.

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

  Open Access

• Reflective Field for Pixel-Level Tasks

  Zhang, L., Kong, X., Shen, P., Zhu, G., Shah, S., Bennamoun, M. & Song, J., 10 Oct 2018, Reflective Field for Pixel-Level Tasks. IEEE, Institute of Electrical and Electronics Engineers, p. 529-534

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

  • Pixels
  • Volatile organic compounds
  • Semantics
  • Neural networks

• Relationship detection based on object semantic inference and attention mechanisms

  Zhang, L., Zhang, S., Shen, P., Zhu, G., Shah, S. A. A. & Bennamoun, M., 5 Jun 2019, ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval. USA: Association for Computing Machinery (ACM), p. 68-72 5 p. (ICMR 2019 - Proceedings of the 2019 ACM International Conference on Multimedia Retrieval).

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

  Open Access

  • Semantics
  • Image understanding
  • Genes
  2 Citations (Scopus)

• Resfeats: Residual network based features for image classification

  Mahmood, A., Bennamoun, M., An, S. & Sohel, F., 20 Feb 2018, 2017 IEEE International Conference on Image Processing (ICIP). China: Wiley-IEEE Press, p. 1597-1601

  Research output: Chapter in Book/Conference paper › Conference paper
  12 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)

• 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
  1 Citation (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

  • SPICE
• Conference article

  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)

• 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
  15 Citations (Scopus)

• Improving semantic image segmentation with a probabilistic superpixel-based fully connected CRF

  Zhang, L., Li, H., Zhu, G., Shen, P., Shah, S. A. & Bennamoun, M., 12 Mar 2018, In : IEEE Access. 6, p. 15297 - 15310

  Research output: Contribution to journal › Conference article

  • Superpixels
  • Image segmentation
  • Semantics
  • Pixels
  • Neural networks