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• Conference paper

  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 Shape and Color Cues for Textured 3D Object Recognition

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA). USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1614-1619

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

• 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)

• Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition

  Zhang, L., Zhu, G., Shen, P., Song, J., Shah, S. & Bennamoun, M., 1 Aug 2017, Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition. IEEE, Institute of Electrical and Electronics Engineers, p. 3120-3128

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

  • Gesture recognition
  • Neural networks
  • Long short-term memory
  • Experiments
  64 Citations (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.

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

• Linear Regression-based Classifier for audio visual person identification

  Alam, M., Togneri, R., Sohel, F., Bennamoun, M. & Naseem, I., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. United States: IEEE, Institute of Electrical and Electronics Engineers, p. 5pp

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

• Model-free segmentation and grasp selection of unknown stacked objects

  Asif, U., Bennamoun, M. & Sohel, F., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8693 LNCS. p. 659-674

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

• Modelling Sentence Generation from Sum of Word Embedding Vectors as a Mixed Integer Programming Problem

  White, L., Togneri, R., Liu, W. & Bennamoun, M., 30 Jan 2017, Proceedings of the 16th IEEE International Conference on Data Mining Workshops. Baeza-Yates, R. & Zhou, Z-H. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 770-777 8 p. 7836744

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

  • Integer programming
  2 Citations (Scopus)

• 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

• Nose tip detection and tracking in 3D video sequences

  Peng, X. & Bennamoun, M., 2011, Proceedings of the International Conference on Computer Graphics Theory and Applications (GRAPP 2011). Portugal: SciTe Press, Vol. 1. p. 13-22

  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

• Partial fingerprint reconstruction with improved smooth extension

  Zhou, W., Hu, J., Petersen, I. & Bennamoun, M., 2013, Network and System Security. Lopez, J. & Sandhu, R. (eds.). USA: Springer, Vol. 7873 LNCS. p. 756 - 762

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

  10 Downloads (Pure)

• PCA for Improving the Performance of XCSR in Classification of High Dimensional Problems

  Behdad, M., French, T., Barone, L. & Bennamoun, M., 2011, Proceedings of the 13th Annual Conference Companion on Genetic and Evolutionary Computation. New York, NY, USA: Association for Computing Machinery (ACM), Vol. -. p. 361-368

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

• Performance Evaluation of 2D to 3D Fingerprint Recognition

  Zhou, W., Petersen, I., Hu, J., Wang, S. & Bennamoun, M., 2013, Proceedings of the 2013 6th International Congress on Image and Signal Processing CISP 2013. Online: IEEE, Institute of Electrical and Electronics Engineers, Vol. 3. p. 1736-1741

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

• Performance evaluation of 3D local surface descriptors for low and high resolution range image registration

  Shah, S. A. A., Bennamoun, M. & Boussaïd, F., 2014, 2014 International Conference on Digital Image Computing: Techniques and Applications (DICTA). IEEE, Institute of Electrical and Electronics Engineers, Vol. N/A. p. 1-7

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

  • Image registration
  • Sensors
  • Costs
  • Experiments
  12 Citations (Scopus)

• Persistence-based Interest Point Detection for 3D Deformable Surface

  Wang, X., Sohel, F., Bennamoun, M., Guo, Y. & Lei, H., 2017, Proceedings of the 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications . Claudio, A. P., Bechmann, D. & Braz, J. (eds.). Portugal: Scitepress, Vol. 1. p. 58-69

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

  Open Access

  File

  • Hot Temperature
  • Detectors
  303 Downloads (Pure)

• Real-time Pose Estimation of Rigid Objects using RGB-D Imagery

  Asif, U., Bennamoun, M. & Sohel, F., 2013, Proceedings of the 2013 IEEE 8th Conference on Industrial Electronics and Applications (ICIEA). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 1692-1699

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

• 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
  11 Citations (Scopus)

• Reverse training: An efficient approach for image set classification

  Hayat, M., Bennamoun, M. & An, S., 2014, Computer Vision – ECCV 2014. ECCV 2014. Lecture Notes in Computer Science. Switzerland: Springer, Vol. 8694 LNCS. p. 784-799

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

  • Classifiers
  • Object recognition
  • Face recognition
  • Set theory
  • Experiments
  15 Citations (Scopus)

  11 Downloads (Pure)

• Robust Pose Invariant Shape-based Hand Recognition

  El-Sallam, A., Sohel, F. & Bennamoun, M., 2011, Proceeding of the 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA). Singapore: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 281-286

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

  • Palmprint recognition
  • Independent component analysis
  • Fusion reactions
  • Feature extraction
  • Color
  11 Citations (Scopus)

• RoPS: A local feature descriptor for 3D rigid objects based on rotational projection statistics

  Guo, Y., Sohel, F., Bennamoun, M., Wan, J. & Lu, M., 2013, 2013 1st International Conference on Communications, Signal Processing and Their Applications, ICCSPA 2013. USA: IEEE, Institute of Electrical and Electronics Engineers, p. 1-6

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

• Semi-supervised neighborhood preserving discriminant embedding: A semi-supervised subspace learning algorithm

  Mehdizadeh, M., Macnish, C., Khan, N. & Bennamoun, M., 2011, Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics). Germany: Springer, Vol. 6494 LNCS. p. 199-212

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

• Spatial Shape Error Concealment Utilising Image Texture

  Sohel, F., Bennamoun, M. & Hahn, M., 2011, The Proceedings of the 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA). Singapore: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 265-270

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

  • Image texture
  • Image matching
  • Independent component analysis
  • Metadata
  2 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

• Supervised particle filter for tracking 2D human pose in monocular video

  Sedai, S., Huynh, D. & Bennamoun, M., 2011, 2011 IEEE Workshop on Applications of Computer Vision (WACV 2011) . United States: IEEE, Institute of Electrical and Electronics Engineers, Vol. 1. p. 367-373

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

• TriSI: A distinctive local surface descriptor for 3D modeling and object recognition

  Guo, Y., Sohel, F., Bennamoun, M., Lu, M. & Wan, J., 2013, GRAPP & IVAPP 2013: Proceedings of the International Conference on Computer Graphics Theory and Applications and International Conference on Information Visualization Theory and Applications. Spain: Scitepress, Vol. 1. p. 86-93

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

  47 Citations (Scopus)

• Upper Body Detection in Unconstrained Still Images

  Wong, W., Huynh, D. & Bennamoun, M., 2011, 2011 6TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS (ICIEA). USA: IEEE, Institute of Electrical and Electronics Engineers, Vol. Single. p. 287-292

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

  • Detectors
  • Electric fuses
  • Computer vision
  • Lighting

• VP-FLMS: A Novel Variable Power Fractional LMS Algorithm

  Khan, S., Usman, M., Naseem, I., Togneri, R. & Bennamoun, M., Jul 2017, ICUFN 2017 - 9th International Conference on Ubiquitous and Future Networks. Jang, Y. M., Reali, G., Toh, C. K., Segall, Z. & Fujii, T. (eds.). IEEE, Institute of Electrical and Electronics Engineers, p. 290-295 6 p. 7993796

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

  • Channel estimation
  • Experiments
  9 Citations (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
• 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
  12 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
• Chapter

  3D Face Surface Analysis and Recognition Based on Facial Surface Features

  Al-Osaimi, F. R. M. & Bennamoun, M., 2013, 3D Face Modeling, Analysis and Recognition. Daoudi, M., Srivastava, A. & Veltkamp, R. (eds.). Australia: John Wiley & Sons, Vol. nil. p. 39-76

  Research output: Chapter in Book/Conference paper › Chapter
  2 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)

• 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)