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Publications: Sohel, Ferdous

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Number of items: 174.

2022

Shermin, T., Teng, S.W., Sohel, F., Murshed, M. and Lu, G. (2022) Integrated generalized zero-shot learning for fine-grained classification. Pattern Recognition, 122 . Art. 108246.

2021

Shermin, T., Lu, G., Teng, S.W., Murshed, M. and Sohel, F. (2021) Adversarial network with multiple classifiers for open set domain adaptation. IEEE Transactions on Multimedia, 23 . pp. 2732-2744.

Wang, X., Cai, M., Sohel, F., Sang, N. and Chang, Z. (2021) Adversarial point cloud perturbations against 3D object detection in autonomous driving systems. Neurocomputing, 466 . pp. 27-36.

Studiawan, H. and Sohel, F. (2021) Anomaly detection in a forensic timeline with deep autoencoders. Journal of Information Security and Applications, 63 . Art. 103002.

Xu, L., Xue, H., Bennamoun, M., Boussaid, F. and Sohel, F. (2021) Atrous convolutional feature network for weakly supervised semantic segmentation. Neurocomputing, 421 . pp. 115-126.

Awan, S.E., Bennamoun, M., Sohel, F., Sanfilippo, F. and Dwivedi, G. (2021) Imputation of missing data with class imbalance using conditional generative adversarial networks. Neurocomputing, 453 . pp. 164-171.

Lu, J., Wang, L., Bennamoun, M., Ward, I., An, S., Sohel, F., Chow, B.J.W., Dwivedi, G. and Sanfilippo, F.M. (2021) Machine learning risk prediction model for acute coronary syndrome and death from use of non-steroidal anti-inflammatory drugs in administrative data. Scientific Reports, 11 (1). Art. 18314.

Owaidah, A.A., Olaru, D., Bennamoun, M., Sohel, F. and Khan, R.N. (2021) Modelling mass crowd using discrete event simulation: A case study of integrated tawaf and sayee rituals during Hajj. IEEE Access, 9 . pp. 79424-79448.

Wang, Z., Wang, X., Sohel, F. and Liao, Y. (2021) PD-Net: Point Dropping Network for Flexible Adversarial Example Generation with Lo Regularization. In: International Joint Conference on Neural Networks (IJCNN) 2021, 18 - 22 July 2021, Shenzhen, China

Muzahid, A.A.M., Wanggen, W., Sohel, F., Bennamoun, M., Hou, L. and Ullah, H. (2021) Progressive conditional GAN-based augmentation for 3D object recognition. Neurocomputing, 460 . pp. 20-30.

Nadeem, U., Shah, S.A.A., Bennamoun, M., Togneri, R. and Sohel, F. (2021) Real time surveillance for low resolution and limited data scenarios: An image set classification approach. Information Sciences, 580 . pp. 578-597.

Hossain, M.T., Teng, S.W., Sohel, F. and Lu, G. (2021) Robust image classification using a Low-Pass activation function and DCT augmentation. IEEE Access, 9 . pp. 86460-86474.

Hossain, Md.Z., Sohel, F., Shiratuddin, M.F., Laga, H.ORCID: 0000-0002-4758-7510 and Bennamoun, M. (2021) Text to image synthesis for improved image captioning. IEEE Access, 9 . pp. 64918-64928.

Hasan, A.S.M.M., Sohel, F., Diepeveen, D.ORCID: 0000-0002-1535-8019, Laga, H.ORCID: 0000-0002-4758-7510 and Jones, M.G.K.ORCID: 0000-0001-5002-0227 (2021) A survey of deep learning techniques for weed detection from images. Computers and Electronics in Agriculture, 184 . Article 106067.

2020

Lu, J., Dwivedi, G., Sanfilippo, F., Bennamoun, M., Hung, J., Briffa, T., Sohel, F., Hutchens, R., Stewart, J., Chow, B. and McQuillan, B. (2020) 230 Machine learning models for predicting ischemic stroke and major bleeding risk in patients with atrial fibrillation. Heart, Lung and Circulation . In Press.

Muzahid, A.A.M., Wan, W., Sohel, F., Khan, N.U., Cervantes Villagomez, O.D. and Ullah, H. (2020) 3D Object classification using a volumetric deep neural network: An efficient Octree Guided Auxiliary Learning approach. IEEE Access, 8 . pp. 23802-23816.

Studiawan, H., Sohel, F. and Payne, C. (2020) Anomaly detection in operating system logs with deep Learning-based sentiment analysis. IEEE Transactions on Dependable and Secure Computing, 18 (5). pp. 2136-2148.

Studiawan, H., Sohel, F. and Payne, C. (2020) Automatic event log abstraction to support forensic investigation. In: ACSW '20: Australasian Computer Science Week 2020, 3 - 7 February 2020, Swinburne University of Technology, Melbourne

Mahmood, A., Ospina, A.G., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Fisher, R.B. and Kendrick, G.A. (2020) Automatic hierarchical classification of kelps using deep residual features. Sensors, 20 (2). Article 447.

Muzahid, A.A.M., Wan, W., Sohel, F., Wu, L. and Hou, L. (2020) CurveNet: Curvature-based multitask learning deep networks for 3D object recognition. IEEE/CAA Journal of Automatica Sinica, 8 (6). pp. 1177-1187.

Chen, Y., Sohel, F., Shah, S.A.A. and Ding, S. (2020) Deep Boltzmann machine for corrosion classification using eddy current pulsed thermography. Optik, 219 . Art. 164828.

Wang, X., Bennamoun, M., Sohel, F. and Lei, H. (2020) Diffusion geometry derived keypoints and local descriptors for 3D deformable shape analysis. Journal of Circuits, Systems and Computers, 30 (1). Art. 2150016.

Khotimah, W.N., Bennamoun, M., Boussaid, F., Sohel, F. and Edwards, D. (2020) A High-Performance Spectral-Spatial Residual Network for Hyperspectral Image Classification with Small Training Data. Remote Sensing, 12 (19). Art. 3137.

Xia, X., Togneri, R., Sohel, F., Zhao, Y. and Huang, D. (2020) Multi-Task learning for acoustic event detection using event and frame position information. IEEE Transactions on Multimedia, 22 (3). pp. 569-578.

Studiawan, H. and Sohel, F. (2020) Performance evaluation of anomaly detection in imbalanced system log data. In: 2020 Fourth World Conference on Smart Trends in Systems, Security and Sustainability (WorldS4), 27 - 28 July 2020, London, UK

Nugaliyadde, A., Wong, K.W., Parry, J., Sohel, F., Laga, H.ORCID: 0000-0002-4758-7510, Somaratne, U.V., Yeomans, C. and Foster, O. (2020) RCNN for region of interest detection in whole slide images. In: Yang, H., Pasupa, K., Chi-Sing Leung, A., Kwok, J.T., Chan, J.H. and King, I., (eds.) Neural Information Processing. Springer, Cham, pp. 625-632.

Mahmood, A., Bennamoun, M., An, S., Sohel, F. and Boussaid, F. (2020) ResFeats: Residual network based features for underwater image classification. Image and Vision Computing, 93 . Art. 103811.

Xu, L., Bennamoun, M., Boussaid, F. and Sohel, F. (2020) Scale-Aware feature network for weakly supervised semantic segmentation. IEEE Access, 8 . pp. 75957-75967.

Studiawan, H., Sohel, F. and Payne, C. (2020) Sentiment analysis in a forensic timeline with deep learning. IEEE Access, 8 . pp. 60664-60675.

Xia, X., Togneri, R., Sohel, F., Zhao, Y. and Huang, D. (2020) Sound event detection using multiple optimized kernels. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 28 . pp. 1745-1754.

Khotimah, W.N., Bennamoun, M., Boussaid, F., Sohel, F. and Edwards, D. (2020) A high-performance spectral-spatial residual network for hyperspectral image classification with small training data. Remote Sensing, 12 (19). Article 3137.

Lanzo, J.A., Valentine, A., Sohel, F., Yapp, A.Y.T., Muparadzi, K.C. and Abdelmalek, M. (2020) A review of the uses of virtual reality in engineering education. Computer Applications in Engineering Education . Early View.

2019

Hossain, M.Z., Sohel, F., Shiratuddin, M.F., Laga, H.ORCID: 0000-0002-4758-7510 and Bennamoun, M. (2019) Attention-Based image captioning using DenseNet features. In: 26th International Conference, ICONIP 2019, 12 - 15 December 2019, Sydney, NSW

Studiawan, H., Payne, C. and Sohel, F. (2019) Automatic Graph-Based clustering for security logs. In: Barolli, L., Takizawa, M., Xhafa, F. and Enokido, T., (eds.) Primate Life Histories, Sex Roles, and Adaptability. Springer, pp. 914-926.

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. and Beyan, C. (2019) Automatic detection of Western rock lobster using synthetic data. ICES Journal of Marine Science, 77 (4). pp. 1308-1317.

Hossain, M.Z., Sohel, F., Shiratuddin, M.F., Laga, H.ORCID: 0000-0002-4758-7510 and Bennamoun, M. (2019) Bi-SAN-CAP: Bi-Directional Self-Attention for Image Captioning. In: Digital Image Computing: Techniques and Applications (DICTA) 2019, 2 - 4 December 2019, Hyatt Regency Perth, Australia

Jan, Y., Sohel, F., Shiratuddin, M.F. and Wong, K.W. (2019) Body detection in spectator crowd images using partial heads. Lecture Notes in Computer Science, 11854 . pp. 65-77.

Xu, L., Bennamoun, M., Boussaid, F., An, S. and Sohel, F. (2019) Coral classification using DenseNet and Cross-modality transfer learning. In: International Joint Conference on Neural Networks (IJCNN) 2019, 14 - 19 July 2019, Budapest, Hungary

Nadeem, U., Bennamoun, M., Sohel, F. and Togneri, R. (2019) Deep fusion net for coral classification in fluorescence and reflectance images. In: Digital Image Computing: Techniques and Applications (DICTA) 2019, 2 - 4 December 2019, Hyatt Regency Perth, Australia

Xu, L., Bennamoun, M., An, S., Sohel, F. and Boussaid, F. (2019) Deep learning for marine species recognition. In: Balas, V.E., Roy, S.S., Sharma, D. and Samui, P., (eds.) Advances in Computational Intelligence. Springer, pp. 129-145.

Nadeem, U., Shah, S.A.A., Sohel, F., Togneri, R. and Bennamoun, M. (2019) Deep learning for scene understanding. In: Balas, V., Roy, S., Sharma, D. and Samui, P., (eds.) Advances in Computational Intelligence. Springer, pp. 21-51.

Rezaei, M., Rezaeian, M., Derhami, V., Sohel, F. and Bennamoun, M. (2019) Deep learning-based 3D local feature descriptor from Mercator projections. Computer Aided Geometric Design, 74 .

Shermin, T., Teng, S.W., Murshed, M., Lu, G., Sohel, F. and Paul, M. (2019) Enhanced transfer learning with ImageNet trained classification layer. Lecture Notes in Computer Science, 11854 . pp. 142-155.

Nugaliyadde, A., Wong, K.W., Sohel, F. and Xie, H. (2019) Enhancing semantic word representations by embedding deep word relationships. In: 11th International Conference on Computer and Automation Engineering, 23 - 25 February 2019, Perth, Western Australia

Awan, S.E., Bennamoun, M., Sohel, F., Sanfilippo, F.M., Chow, B.J. and Dwivedi, G. (2019) Feature selection and transformation by machine learning reduce variable numbers and improve prediction for heart failure readmission or death. PLoS ONE, 14 (6).

Ke, Q., Liu, J., Bennamoun, M., Rahmani, H., An, S., Sohel, F. and Boussaid, F. (2019) Global regularizer and temporal-aware cross-entropy for skeleton-based early action recognition. In: Jawahar, C., Li, H., Mori, G. and Schindler, K., (eds.) Computer Vision – ACCV 2018. Springer, pp. 729-745.

Somaratne, U.V., Wong, K.W., Parry, J., Sohel, F., Wang, X.ORCID: 0000-0002-1557-8265 and Laga, H.ORCID: 0000-0002-4758-7510 (2019) Improving follicular lymphoma identification using the class of interest for transfer learning. In: Digital Image Computing: Techniques and Applications (DICTA) 2019, 2 - 4 December 2019, Hyatt Regency Perth, Australia

Nugaliyadde, A., Sohel, F., Wong, K.W. and Xie, Hong (2019) Language modeling through Long-Term memory network. In: International Joint Conference on Neural Networks (IJCNN) 2019, 14 - 19 July 2019, Budapest, Hungary

Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. and Boussaid, F. (2019) Learning latent global network for Skeleton-based action prediction. IEEE Transactions on Image Processing, 29 . pp. 959-970.

Nadeem, U., Bennamoun, M., Sohel, F. and Togneri, R. (2019) Learning-Based confidence estimation for Multi-modal classifier fusion. Lecture Notes in Computer Science, 11954 . pp. 299-312.

Jan, Y., Sohel, F., Shiratuddin, M.F. and Wong, K.W. (2019) MON: Multiple Output Neurons. In: 26th International Conference, ICONIP 2019, 12 - 15 December 2019, Sydney, NSW

Awan, S.E., Bennamoun, M., Sohel, F., Sanfilippo, F.M. and Dwivedi, G. (2019) Machine learning-based prediction of heart failure readmission or death: Implications of choosing the right model and the right metrics. ESC Heart Failure, 6 (2). pp. 428-435.

Owaidah, A., Olaru, D., Bennamoun, M., Sohel, F. and Khan, N. (2019) Review of modelling and simulating crowds at mass gathering events: Hajj as a case study. Journal of Artificial Societies and Social Simulation, 22 (2).

Xia, X., Togneri, R., Sohel, F., Zhao, Y. and Huang, D. (2019) A Survey: Neural Network-Based Deep Learning for Acoustic Event Detection. Circuits, Systems, and Signal Processing, 38 (8). pp. 3433-3353.

Jan, Y., Sohel, F., Shiratuddin, M.F. and Wong, K.W. (2019) WNet: Joint multiple head detection and head pose estimation from a spectator crowd image. Lecture Notes in Computer Science, 11367 . pp. 484-493.

Hossain, MD.Z., Sohel, F., Shiratuddin, M.F. and Laga, H.ORCID: 0000-0002-4758-7510 (2019) A comprehensive survey of deep learning for image captioning. ACM Computing Surveys, 51 (6). Article No. 118.

Xu, L., Bennamoun, M., Boussaid, F., An, S. and Sohel, F. (2019) An improved approach to weakly supervised semantic segmentation. In: IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2019, 12 - 17 May 2019, Brighton, United Kingdom

Studiawan, H., Sohel, F. and Payne, C. (2019) A survey on forensic investigation of operating system logs. Digital Investigation, 29 . pp. 1-20.

2018

Abidin, S., Togneri, R. and Sohel, F. (2018) Acoustic scene classification using joint time-frequency image-based feature representations. In: 15th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) 2018, 27 - 30 November 2017, Auckland, New Zealand

Studiawan, H., Sohel, F. and Payne, C. (2018) Automatic log parser to support forensic analysis. In: 16th Australian Digital Forensics Conference, 4 - 5 December 2018, Edith Cowan, Joondalup

Xia, X., Togneri, R., Sohel, F. and Huang, D. (2018) Auxiliary classifier generative adversarial network with soft labels in imbalanced acoustic event detection. IEEE Transactions on Multimedia, 21 (6). pp. 1359-1371.

Lian, X., Bennamoun, M., An, S., Sohel, F. and Boussaid, F. (2018) Classification of corals in reflectance and fluorescence images using convolutional neural network representations. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 15 - 20 April 2018, Calgary, Alberta, Canada

Ke, Q., Liu, J., Bennamoun, M., An, S., Sohel, F. and Boussaid, F. (2018) Computer vision for human-machine interaction. In: Marco, L. and Farinella, G.M., (eds.) Computer Vision for Assistive Healthcare. Academic Press, pp. 127-145.

Xia, X., Togneri, R., Sohel, F. and Huang, D. (2018) Confidence based acoustic event detection. In: 2018 IEEE International Conference on Acoustics, Speech and Signal Processing, 15 - 20 April 2018, Calgary, Alberta, Canada

Mathai, N., Shiratuddin, M.F., Sohel, F. and Wang, X.ORCID: 0000-0002-1557-8265 (2018) Consumer perceptions in the adoption of the electronic health records in Australia: A pilot study. In: 29th Australasian Conference on Information Systems, 3 - 5 December 2018, UTS, Sydney

Mahmood, A., Bennamoun, M., An, S., Sohel, F.A., Boussaid, F., Hovey, R., Kendrick, G.A. and Fisher, R.B. (2018) Deep image representations for coral image classification. IEEE Journal of Oceanic Engineering, 44 (1). pp. 121-131.

Awan, S., Bennamoun, M., Sohel, F., Shah, S.A.A., Rankin, J., Sanfilippo, F. and Dwivedi, G. (2018) Developing and testing a New Machine-Learning Method to identify patients with heart failure who are at risk of 30-Day readmission or mortality. Heart, Lung and Circulation, 27 . S91.

An, S., Boussaid, F., Bennamoun, M. and Sohel, F. (2018) Exploiting layerwise convexity of rectifier networks with sign constrained weights. Neural Networks, 105 . pp. 419-430.

Primorac, R., Togneri, R., Bennamoun, M. and Sohel, F. (2018) Generalized joint sparse representation for multimodal biometric fusion of heterogeneous features. In: IEEE International Workshop on Information Forensics and Security (WIFS) 2018, 11 - 13 December 2018, Hong Kong

Ke, Q., Bennamoun, M., Rahmani, H., An, S., Sohel, F. and Boussaid, F. (2018) Identity adaptation for person re-identification. IEEE Access, 6 . pp. 48147-48155.

Ke, Q., Bennamoun, M., An, S., Sohel, F. and Boussaid, F. (2018) Learning clip representations for Skeleton-based 3D action recognition. IEEE Transactions on Image Processing, 27 (6). pp. 2842-2855.

Abidin, S., Xia, X., Togneri, R. and Sohel, F. (2018) Local binary pattern with random forest for acoustic scene classification. In: IEEE International Conference on Multimedia and Expo (ICME) 2018, 23 - 27 July 2018, San Diego, CA

Wang, C., Cheng, M., Sohel, F., Bennamoun, M. and Li, J. (2018) NormalNet: A voxel-based CNN for 3D object classification and retrieval. Neurocomputing, 323 . pp. 139-147.

Xia, X., Togneri, R., Sohel, F. and Huang, D. (2018) Random forest classification based acoustic event detection utilizing contextual-information and bottleneck features. Pattern Recognition, 81 . pp. 1-13.

Nadeem, U., Shah, S.A.A., Bennamoun, M., Togneri, R. and Sohel, F. (2018) Real Time Surveillance for Low Resolution and Limited-Data Scenarios: An Image Set Classification Approach. arXiv, 1803.09470 .

Abidin, S., Togneri, R. and Sohel, F. (2018) Spectro-Temporal analysis using local binary pattern variants for acoustic scene classification. IEEE/ACM Transactions on Audio, Speech, and Language Processing, 26 (11). pp. 2112-2121.

2017

Wang, X.ORCID: 0000-0002-1557-8265, Sohel, F., Bennamoun, M., Guo, Y. and Lei, H. (2017) Scale space clustering evolution for salient region detection on 3D deformable shapes. Pattern Recognition Letters, 71 . pp. 414-427.

Studiawan, H., Payne, C. and Sohel, F. (2017) Graph clustering and anomaly detection of access control log for forensic purposes. Digital Investigation, 21 . pp. 76-87.

Khan, S.H., Hayat, M., Bennamoun, M., Sohel, F.A. and Togneri, R. (2017) Cost-Sensitive learning of deep feature representations from imbalanced data. IEEE Transactions on Neural Networks and Learning Systems, 29 (8). pp. 3573-3587.

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. and Fisher, R.B. (2017) Deep learning for coral classification. In: Samui, P., Roy, S.S. and Balas, V., (eds.) Handbook of Neural Computation. Academic Press, pp. 383-401.

Alam, M.R., Bennamoun, M., Togneri, R. and Sohel, F. (2017) Deep neural networks for mobile person recognition with audio-visual signals. In: Guo, G. and Wechsler, H., (eds.) Mobile Biometrics. IET Digital Library, pp. 97-129.

Li, Y., Sohel, F., Bennamoun, M. and Lei, H. (2017) Discriminative feature learning and region consistency activation for robust scene labeling. Neurocomputing, 243 . pp. 174-186.

Shah, S.A.A., Nadeem, U., Bennamoun, M., Sohel, F. and Togneri, R. (2017) Efficient image set classification using linear regression based image reconstruction. In: IEEE Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) 2017, 21 - 26 July 2017, Honolulu, HI, USA

Shah, S.A.A., Nadeem, U., Bennamoun, M., Sohel, F. and Togneri, R. (2017) Efficient image set classification using linear regression based image reconstruction. arXiv, 1701.02485 .

Abidin, S., Togneri, R. and Sohel, F. (2017) Enhanced LBP texture features from time frequency representations for acoustic scene classification. In: 2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) 2017, 5 - 9 March 2017, New Orleans, LA, USA

Xia, X., Togneri, R., Sohel, F. and Huang, D. (2017) Frame-Wise dynamic threshold based polyphonic acoustic event detection. In: INTERSPEECH 2017, 20 - 24 August 2017, Stockholm, Sweden

Ke, Q., Bennamoun, M., An, S., Sohel, F. and Boussaid, F. (2017) Leveraging structural context models and ranking score fusion for human interaction prediction. IEEE Transactions on Multimedia, 20 (7). pp. 1712-1723.

Awan, S.E., Sohel, F., Sanfilippo, F.M., Bennamoun, M. and Dwivedi, G. (2017) Machine learning in heart failure. Current Opinion in Cardiology, 33 (2). pp. 190-195.

Nugaliyadde, A., Wong, K.W., Sohel, F. and Xie, H. (2017) Multi-level search of a knowledge base for semantic parsing. Lecture Notes in Computer Science, 10607 . pp. 44-53.

Asif, U., Bennamoun, M. and Sohel, F. (2017) A Multi-modal, discriminative and spatially invariant CNN for RGB-D object labeling. IEEE Transactions on Pattern Analysis and Machine Intelligence, 40 (9). pp. 2051-2065.

Zhang, J., Sohel, F., Bennamoun, M., Bian, H. and An, S. (2017) NSCT-based fusion method for forward-looking sonar image mosaic. IET Radar, Sonar & Navigation, 11 (10). pp. 1512-1522.

Wang, X.ORCID: 0000-0002-1557-8265, Sohel, F., Bennamoun, M., Guo, Y. and Lei, H. (2017) Persistence-based interest point detection for 3d deformable surface. In: 12th International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) 2017, 27 February - 1 March 2017, Porto, Portugal

Asif, U., Bennamoun, M. and Sohel, F.A. (2017) RGB-D Object Recognition and Grasp Detection Using Hierarchical Cascaded Forests. IEEE Transactions on Robotics, 33 (3). pp. 547-564.

Xia, X., Togneri, R., Sohel, F. and Huang, D. (2017) Random forest classification based acoustic event detection. In: IEEE International Conference on Multimedia and Expo (ICME) 2017, 10 - 14 July 2017, Hong Kong, China

Xia, X., Togneri, R., Sohel, F. and Huang, D. (2017) Random forest regression based acoustic event detection with bottleneck features. In: IEEE International Conference on Multimedia and Expo (ICME) 2017, 10 - 14 July 201, Hong Kong, China

Nugaliyadde, A., Wong, K.W., Sohel, F. and Xie, H. (2017) Reinforced memory network for question answering. Lecture Notes in Computer Science, 10635 . pp. 482-490.

Mahmood, A., Bennamoun, M., An, S. and Sohel, F. (2017) Resfeats: Residual network based features for image classification. In: IEEE International Conference on Image Processing (ICIP) 2017, 17-20 Sept. 2017, Beijing, China

Ke, Q., An, S., Bennamoun, M., Sohel, F. and Boussaid, F. (2017) SkeletonNet: Mining Deep Part Features for 3-D Action Recognition. IEEE Signal Processing Letters, 24 (6). pp. 731-735.

Ke, Q., Bennamoun, M., An, S., Sohel, F. and Boussaid, F. (2017) A new representation of skeleton sequences for 3D action recognition. In: 2017 IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 21 - 26 July 2017, Honolulu, HI

Shiratuddin, M.F., Rai, S., Krishnan, G.M., Newton, M., Wang, X.ORCID: 0000-0002-1557-8265, Sohel, F., Blacker, D. and Byrnes, M. (2017) A usability evaluation of Neuromender's upper limb game-based rehabilitation system for stroke survivors. In: IEEE 5th International Conference on Serious Games and Applications for Health (SeGAH) 2017, 2 - 4 April 2017, Perth, Western Australia pp. 1-8.

2016

Primorac, R., Togneri, R., Bennamoun, M. and Sohel, F. (2016) Audio-visual biometric recognition via joint sparse representations. In: 2016 23rd International Conference on Pattern Recognition (ICPR), 4-8 Dec. 2016 pp. 3031-3035.

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. and Fisher, R.B. (2016) Automatic annotation of coral reefs using deep learning. In: OCEANS 2016 MTS/IEEE Monterey, 19 - 23 September 2016, Monterey, CA

Mahmood, A., Bennamoun, M., An, S., Sohel, F., Boussaid, F., Hovey, R., Kendrick, G. and Fisher, R.B. (2016) Coral classification with hybrid feature representations. In: IEEE International Conference on Image Processing (ICIP) 2016, 25 - 28 September 2016, Phoenix, Arizona

Guo, Y., Lei, Y., Liu, L., Wang, Y., Bennamoun, M. and Sohel, F. (2016) EI3D: Expression-invariant 3D face recognition based on feature and shape matching. Pattern Recognition Letters, 83 (1). pp. 403-412.

Zhang, J., Sohel, F., Bian, H., Bennamoun, M. and An, S. (2016) Forward-looking sonar image registration using polar transform. In: OCEANS 2016 MTS/IEEE Monterey, 19 - 23 September 2016, Monterey, CA

Ke, Q., Bennamoun, M., An, S., Boussaid, F. and Sohel, F. (2016) Human interaction prediction using deep temporal features. Lecture Notes in Computer Science, 9914 . pp. 403-414.

Khan, S.H., Hayat, M., Bennamoun, M., Togneri, R. and Sohel, F.A. (2016) A discriminative representation of convolutional features for indoor scene recognition. IEEE Transactions on Image Processing, 25 (7). pp. 3372-3383.

Alam, M., Bennamoun, M., Togneri, R. and Sohel, F. (2016) A joint Deep Boltzmann Machine (jDBM) model for person identification using mobile phone data. IEEE Transactions on Multimedia, 19 (2). pp. 317-326.

2015

Khan, S., Bennamoun, M., Sohel, F. and Togneri, R. (2015) Automatic shadow detection and removal from a single image. IEEE Transactions on Pattern Analysis and Machine Intelligence, 38 (3). pp. 431-446.

Wang, X., Sohel, F., Bennamoun, M. and Lei, H. (2015) Binary descriptor based on heat diffusion for Non-rigid shape analysis. Lecture Notes in Computer Science, 9431 . pp. 751-761.

An, S., Hayat, M., Khan, S., Bennamoun, M., Boussaid, F. and Sohel, F. (2015) Contractive rectifier networks for nonlinear maximum margin classification. In: International Conference on Computer Vision (ICCV) 2015, 13 - 16 December 2015, Santiago, Chile

Alam, M., Bennamoun, M., Togneri, R. and Sohel, F. (2015) Deep Boltzmann machines for i-Vector based audio-visual person identification. Lecture Notes in Computer Science, 9431 . pp. 631-641.

Asif, U., Bennamoun, M. and Sohel, F. (2015) Discriminative feature learning for efficient RGB-D object recognition. In: 2015 IEEE/RSJ International Conference on Intelligent Robots and Systems, 28 September - 2 October 2015, Hamburg, Germany

Asif, U., Bennamoun, M. and Sohel, F. (2015) Efficient RGB-D object categorization using cascaded ensembles of randomized decision trees. In: 2015 IEEE International Conference on Robotics and Automation (ICRA), 26-30 May 2015, Seattle, Washington pp. 1295-1302.

Li, Y., Sohel, F., Bennamoun, M. and Lei, H. (2015) Heterogeneous Multi-column ConvNets with a fusion framework for object recognition. In: IEEE Winter Conference on Applications of Computer Vision (WACV) 2015, 5-9 Jan. 2015, Waikoloa, HI pp. 773-780.

Khan, S.H., Bennamoun, M., Sohel, F., Togneri, R. and Naseem, I. (2015) Integrating geometrical context for semantic labeling of indoor scenes using RGBD images. International Journal of Computer Vision, 117 (1). pp. 1-20.

Li, Y., Sohel, F., Bennamoun, M. and Lei, H. (2015) Outdoor scene labelling with learned features and region consistency activation. In: IEEE International Conference on Image Processing (ICIP) 2015, 27 - 30 September 2015, Quebec, Canada

Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. and Zhang, J. (2015) Performance evaluation of 3D local feature descriptors. Lecture Notes in Computer Science, 9004 . pp. 178-194.

Khan, S., He, X., Bennamoun, M., Togneri, R. and Sohel, F. (2015) Separating objects and clutter in indoor scenes. In: Computer Vision (CVPR) 2015, 8 - 10 June 2015, Boston, MA

An, S., Ke, Q., Bennamoun, M., Boussaid, F. and Sohel, F. (2015) Sign constrained rectifier networks with applications to pattern decompositions. Lecture Notes in Computer Science, 9284 . pp. 546-559.

Asif, U., Bennamoun, M. and Sohel, F. (2015) Unsupervised segmentation of unknown objects in complex environments. Autonomous Robots, 40 (5). pp. 805-829.

Guo, Y., Bennamoun, M., Sohel, F., Lu, M., Wan, J. and Kwok, N.M. (2015) A comprehensive performance evaluation of 3D local feature descriptors. International Journal of Computer Vision, 116 (1). pp. 66-89.

Alam, M.R., Bennamoun, M., Togneri, R. and Sohel, F. (2015) A confidence-based late fusion framework for audio-visual biometric identification. Pattern Recognition Letters, 52 . pp. 65-71.

Alam, M., Bennamoun, M., Togneri, R. and Sohel, F. (2015) A deep neural network for audio-visual person recognition. In: IEEE Seventh International Conference on Biometrics: Theory, Applications and Systems (BTAS 2015), 8 - 11 September 2015, Buffalo, NY

Guo, Y., Bennamoun, M., Sohel, F., Lu, M. and Wan, J. (2015) An integrated framework for 3-D modeling, object detection, and pose estimation from point-clouds. IEEE Transactions on Instrumentation and Measurement, 64 (3). pp. 683-693.

Guo, Y., Sohel, F., Bennamoun, M., Wan, J. and Lu, M. (2015) A novel local surface feature for 3D object recognition under clutter and occlusion. Information Sciences, 293 . pp. 196-213.

2014

Khan, S.H., Bennamoun, M., Sohel, F. and Togneri, R. (2014) Automatic feature learning for robust shadow detection. In: IEEE Conference on Computer Vision and Pattern Recognition (CVPR) 2014, 23 - 28 June 2014, Columbus, OH pp. 1939-1946.

Alam, M., Bennamoun, M., Togneri, R. and Sohel, F. (2014) Confidence-based Rank-level fusion for Audio-visual person identification system. In: 3rd International Conference on Pattern Recognition Applications and Methods (ICPRAM 2014), 6 - 8 March 2014, ESEO, Angers, Loire Valley, France

Khan, S.H., Bennamoun, M., Sohel, F. and Togneri, R. (2014) Geometry driven semantic labeling of indoor scenes. Lecture Notes in Computer Science, 8689 . pp. 679-694.

Asif, U., Bennamoun, M. and Sohel, F. (2014) Model-Free segmentation and grasp selection of unknown stacked objects. Lecture Notes in Computer Science, 8693 . pp. 659-674.

An, S., Boussaid, F., Bennamoun, M. and Sohel, F. (2014) Quantitative error analysis of bilateral filtering. IEEE Signal Processing Letters, 22 (2). pp. 202-206.

Guo, Y., Sohel, F., Bennamoun, M., Wan, J. and Lu, M. (2014) An accurate and robust range image registration algorithm for 3D object modeling. IEEE Transactions on Multimedia, 16 (5). pp. 1377-1390.

2013

Guo, Y., Bennamoun, M., Sohel, F.A., Wan, J. and Lu, M. (2013) 3D free form object recognition using rotational projection statistics. In: IEEE Workshop on Applications of Computer Vision (WACV) 2013, 15 - 17 January 2013, Tampa, FL pp. 1-8.

Guo, Y., Sohel, F.A., Bennamoun, M., Wan, J. and Lu, M. (2013) Integrating shape and color cues for textured 3D object recognition. In: 8th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2013, 19 - 21 June 2013, Melbourne, VIC pp. 1614-1619.

Alam, M.R., Togneri, R., Sohel, F., Bennamoun, M. and Naseem, I. (2013) Linear regression-based classifier for audio visual person identification. In: 1st International Conference on Communications, Signal Processing, and their Applications (ICCSPA) 2013, 12-14 February 2013, Sharjah pp. 1-5.

Miraliakbari, A., Hahn, M., Engels, J., Sohel, F. and Bennamoun, M. (2013) Mobile geo-referenced thermal infra-red imagery recording for leakage detection in urban district heating networks,” Applied Geoinformatics for Society and Environment. In: Applied Geoinformatics for Society and Environment (AGSE) 2013, 16 - 19 December 2013, CEPT University, Ahmedabad

Asif, U., Bennamoun, M. and Sohel, F. (2013) Real-time pose estimation of rigid objects using RGB-D imagery. In: 8th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2013, 19 - 21 June 2013, Melbourne, VIC pp. 1692-1699.

Guo, Y., Sohel, F.A., Bennamoun, M., Wan, J. and Lu, M. (2013) RoPS: A local feature descriptor for 3D rigid objects based on rotational projection statistics. In: 1st International Communications Conference on Signal Processing, and their Applications (ICCSPA) 2013, 12-14 February 2013, Sharjah pp. 1-6.

Guo, Y., Sohel, F., Bennamoun, M., Lu, M. and Wan, J. (2013) Rotational projection statistics for 3D local surface description and object recognition. International Journal of Computer Vision, 105 (1). pp. 63-86.

Guo, Y., Sohel, F., Bennamoun, M., Lu, M. and Wan, J. (2013) TriSI: A distinctive local surface descriptor for 3D modeling and object recognition. In: 8th International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) 2013, 21 - 24 February 2013, Barcelona, Spain pp. 86-93.

Alam, M.R., Bennamoun, M., Togneri, R. and Sohel, F. (2013) An efficient reliability estimation technique for audio-visual person identification. In: 8th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2013, 19 - 21 June 2013, Melbourne, VIC pp. 1631-1635.

El-Sallam, A., Bennamoun, M., Sohel, F., Alderson, J., Lyttle, A. and Rossi, M. (2013) A low cost 3D markerless system for the reconstruction of athletic techniques. In: IEEE Workshop on Applications of Computer Vision (WACV) 2013, 15 - 17 January 2013, Tampa, FL pp. 222-229.

El-Sallam, A., Bennamoun, M., Sohel, F. and Alderson, J. (2013) A low cost visual hull based markerless system for the optimization of athletic techniques in outdoor environments. In: 8th International Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP) 2013, 21 - 24 February 2013, Barcelona, Spain

2012

Sohel, F.A., Karmakar, G.C., Dooley, L.S. and Bennamoun, M. (2012) Sliding-window designs for vertex-based shape coding. IEEE Transactions on Multimedia, 14 (3). pp. 683-692.

2011

Sohel, F., Karmakar, G.C., Dooley, L.S. and Bennamoun, M. (2011) Geometric distortion measurement for shape coding: A contemporary review. ACM Computing Surveys, 43 (4).

Sohel, F.A., Thorne, C., Jegathesan, J., Sergeev, E. and Bennamoun, M. (2011) Interdisciplinary learning for final year engineering projects: Case studies. In: Australasian Association for Engineering Education Conference 2011, 5 - 7 December 2011, Fremantle, Western Australia

El-Sallam, A., Sohel, F. and Bennamoun, M. (2011) Robust pose invariant shape-based hand recognition. In: 6th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2011, 21-23 June 2011, Beijing, China pp. 281-286.

Sohel, F., Bennamoun, M. and Hahn, M. (2011) Spatial shape error concealment utilising image texture. In: 6th IEEE Conference on Industrial Electronics and Applications (ICIEA) 2011, 21-23 June 2011, Beijing, China pp. 265-270.

2010

Sohel, F.A., Karmakar, G.C., Dooley, L.S. and Bennamoun, M. (2010) Bezier curve-based generic shape encoder. IET Image Processing, 4 (2). p. 92.

2009

Sohel, F.A. and Bennamoun, M. (2009) Image dependent spatial shape error concealment for multiple shapes. In: Fifth International Conference on Signal-Image Technology & Internet-Based Systems (SITIS) 2009, Nov. 29-Dec. 4 2009, Marrakech, Morocco pp. 164-171.

2008

Sohel, F.A. and Bennamoun, M. (2008) Distortion measurement using arc-length-parameterisation within a vertex-based shape coding framework. In: 11th International Conference on Computer and Information Technology (ICCIT) 2008., 24-27 December 2008, Khulna pp. 329-334.

Sohel, F.A., Karmakar, G.C. and Dooley, L.S. (2008) Dynamic Bezier curves for variable rate-distortion. Pattern Recognition, 41 (10). pp. 3153-3165.

Sohel, F.A., Karmakar, G.C. and Dooley, L.S. (2008) Image-dependent spatial shape-error concealment. In: 9th International Conference on Signal Processing (ICSP) 2008, 26-29 October 2008, Beijing, China pp. 753-756.

Sohel, F.A., Karmakar, G.C., Dooley, L.S. and Arkinstall, J.R. (2008) Quasi-Bezier curves integrating localised information. Pattern Recognition, 41 (2). pp. 531-542.

Sohel, F.A., Karmakar, G.C. and Dooley, L.S. (2008) Video coding for mobile communications. In: Karmakar, G. and Dooley, L.S., (eds.) Mobile Multimedia Communications. IGI Global, pp. 109-150.

2007

Sohel, F.A., Karmakar, G.C. and Dooley, L.S. (2007) Bezier Curve-Based character descriptor considering shape information. In: 6th IEEE/ACIS International Conference on Computer and Information Science (ICIS) 2007, 11-13 July 2007, Melbourne, Qld. pp. 212-216.

Sohel, F.A., Karmakar, G.C. and Dooley, L.S. (2007) Fast distortion measurement using Chord-Length parameterization within the Vertex-Based rate-distortion optimal shape coding framework. IEEE Signal Processing Letters, 14 (2). pp. 121-124.

Sohel, F.A., Dooley, L.S. and Karmakar, G.C. (2007) New dynamic enhancements to the Vertex-Based rate-distortion optimal shape coding framework. IEEE Transactions on Circuits and Systems for Video Technology, 17 (10). pp. 1408-1413.

2006

Sohel, F.A., Dooley, L.S. and Karmakar, G.C. (2006) Accurate distortion measurement for generic shape coding. Pattern Recognition Letters, 27 (2). pp. 133-142.

Sohel, F., Karmakar, G. and Dooley, L. (2006) Dynamic sliding window width selection strategies for Rate-distortion optimal Vertex-Based shape coding algorithms. In: 8th International Conference on Signal Processing, 16-20 Nov. 2006, Beijing, China

Sohel, F., Dooley, L. and Karmakar, G. (2006) Variable width admissible control point band for vertex based Operational-Rate-Distortion optimal shape coding algorithms. In: 2006 IEEE International Conference on Image Processing, 8 - 11 October 2006, Atlanta, Georgia pp. 2461-2464.

2005

Sohel, F.A., Karmakar, G.C., Dooley, L.C. and Arkinstall, J. (2005) Enhanced bezier curve models incorporating local information. In: IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '05), 18 - 23 March 2005, Philadelphia, PA pp. 253-256.

Sohel, F.A., Dooley, L.S. and Karmakar, G.C. (2005) A dynamic Bezier curve model. In: IEEE International Conference on Image Processing 2005, ICIP 2005, 11 - 14 September, Genova

Sohel, F.A., Karmakar, G.C. and Dooley, L.S. (2005) A generic shape descriptor using Bezier curves. In: International Conference on Information Technology: Coding and Computing (ITCC) 2005, 4 - 6 April 2005, Las Vegas, NV pp. 95-100.

Sohel, F.A., Karmakar, G.C. and Dooley, L.S. (2005) An improved shape descriptor using Bezier curves. Lecture Notes in Computer Science, 3776 . pp. 401-406.

Sohel, F., Dooley, L. and Karmakar, G. (2005) A novel Half-Way shifting Bezier curve model. In: IEEE Region 10 TENCON 2005, 21 - 24 November 2005, Melbourne, Qld. pp. 1-6.

2004

Sohel, F.A. and Rahman, C.M. (2004) Association rule mining in dynamic database using the concept of border sets. Asian Journal of Information Technology, 3 (7). pp. 508-515.

Sohel, F.A., Dooley, L.S. and Karmakar, G.C. (2004) A modified distortion measurement algorithm for shape coding. In: 3rd Workshop on Internet, Telecommunications and Signal Processing (WITSP '04), 20 - 22 December 2004, Adelaide, South Australia

2003

Sohel, F.A. and Rahman, C.M. (2003) Association rule mining in dynamic database using the concept of border sets. In: International Conference on Electrical, Electronics and Computer Engineering (ICEECE-03), 22 - 24 December 2003, Dhaka, Bangladesh

Sohel, F.A., Rahman, C.M. and Karmakar, G.C. (2003) Automatic video object segmentation from VOP. In: International Conference on Electrical, Electronics and Computer Engineering (ICEECE-03), 22 - 24 December 2003, Dhaka, Bangladesh

Sohel, F.A. and Amiruzzaman, M. (2003) Fingerprint authentication system using back-propagation. In: 6th International Conference on Computers and Information Technology (ICCIT-03), 26 - 28 December 2003, Dhaka, Bangladesh

Rahman, C.M., Sohel, F.A., Naushad, P. and Kamruzzaman, S.M. (2003) Text classification using the concepts of data mining association rules. In: International Conference on Information Technology: Prospects and Challenges in the 21st century, May 2003, Kathmandu, Nepal

Sohel, F.A. (2003) A new neural network with fuzzy technique: Disease diagnosis, A case study. In: 6th International Conference on Computers and Information Technology (ICCIT-03), 26 - 28 December 2003, Dhaka, Bangladesh

1999

Bennamoun, M., Sohel, F. and Guo, Y. (1999) Feature selection for 2D and 3D face recognition. In: Wiley Encyclopedia of Electrical and Electronics Engineering. John Wiley and Sons, Inc., pp. 1-28.

This list was generated on Thu Dec 2 12:25:38 2021 UTC.