Publications

• Google Scholar Citations

Book

   S Khan, H Rahmani, Syed Afaq Ali Shah, M Bennamoun."A Guide  to Convolutional Neural Networks for Computer Vision",  Synthesis Lectures on Computer Vision, Morgan & Claypool Publishers, 2018. [Book]

Book Chapter

1. N. Sharif, U. Nadeem, Syed Afaq Ali Shah, M. Bennamoun, W Lui, " Vision to Language: Methods, Metrics and Datasets", Machine Learning Paradigms (Learning and Analytics in Intelligent Systems book series), 2020. 

2. U. Nadeem, Syed Afaq Ali Shah, F. Sohel, R. Togneri, and M. Bennamoun, “Deep learning for scene understanding,” Handbook of Deep Learning Applications, (Eds) Valentina Balas, Sanjiban Sekhar Roy, Dharmendra Sharma and Pijush Samui, Springer, 2018.

PhD Thesis

   Syed Afaq Ali Shah, "Surface Representations and Automatic Feature Learning for 3D Object Recognition" 2016. [PDF]

Papers on arXiv

1. Z Khalifa, Syed Afaq Ali Shah, "A large scale multi-view RGBD visual affordance learning dataset ", arXiv 2022. [PDF] [Dataset]

2. G Zhu, L Zhang, Y Jiang, Y Dang, H Hou, P Shen, M Feng, X Zhao, Q Miao,  Syed Afaq Ali Shah, M Bennamoun, "Scene Graph Generation: A Comprehensive Survey", arXiv 2022. [PDF]

3. N Mirnateghi, Syed Afaq Ali Shah, M Bennamoun, "Deep Bayesian Image Set Classification: A Defence Approach against Adversarial Attacks", arXiv 2021. [PDF]

4. J Li, G Zhu, C Hua, M Feng, B Bennamoun, P Li, X Lu, J Song, P Shen, X Xu, L Mei, L Zhang, Syed Afaq Ali Shah, M Bennamoun "A Systematic Collection of Medical Image Datasets for Deep Learning", arXiv 2021. [PDF]

5. L Zhang, J Li, P Li, X Lu, P Shen, G Zhu, Syed Afaq Ali Shah, M Bennamoun, K Qian, BW Schuller, "MeDaS: An open-source platform as service to help break the walls between medicine and informatics", arXiv 2020. [PDF]

6. U Nadeem, Syed Afaq Ali Shah, M Bennamoun, F Sohel, R Togneri, "Image Set Classification for Low Resolution Surveillance", arXiv 2018. [PDF]

7. Syed Afaq Ali Shah, U Nadeem, M Bennamoun, F Sohel, R Togneri, "Efficient Image Set Classification using Linear regression based Image reconstruction", arXiv 2017. Published @ CVPRW 2017. [PDF]

Journal Papers

1. K S Bughio, D M. Cook, Syed Afaq Ali Shah, "Developing a Novel Ontology for Cybersecurity in IoMT-Enabled Remote Patient Monitoring". Sensors 2024 (Accepted).

2. J Li, G Zhu, C Hua, M Feng, B Bennamoun, P Li, X Lu, J Song, P Shen, X Xu, L Mei, L Zhang, Syed Afaq Ali Shah, M Bennamoun "A Systematic Collection of Medical Image Datasets for Deep Learning". ACM Computing Surveys 2023.

3. G Ye, J Song, M Feng, G Zhu, P Shen, L Zhang, Syed Afaq Ali Shah, M Bennamoun, "Position and structure-aware graph learning". Neurocomputing 2023.

4. Syed Afaq Ali Shah, W Deng, M A Cheema, A Bais, "CommuNety: A Deep Learning System for the Prediction of Cohesive Social Communities", Multimedia Tools and Applications 2022 [PDF].

5. M Imtiaz, Syed Afaq Ali Shah, Z u Rehman, "A Review of Arthritis Diagnosis Techniques in Artificial Intelligence Era: Current Trends and Research Challenges", Neuroscience Informatics - 2022 [PDF].

6. D Ayris, M Imtiaz, K Horbury, B Williams, M Blackney, C See, Syed Afaq Ali Shah, "Novel Deep Learning Approach to Model and Predict the spread of COVID-19", Intelligent Systems with Applications - 2022. [PDF] [Code]

7. Syed Afaq Ali Shah, H Luo, PD Pickupana, A Ekeze, F Sohel, H Laga, C Li, B Paynter, P Wang, "Automatic and Fast Classification of Barley Grains from Images: A Deep Learning Approach", Smart Agricultural Technology - 2022.

8. U Nadeem, Syed Afaq Ali Shah, M Bennamoun, F Sohel, R Togneri, "Real Time Surveillance for Low Resolution and Limited Data Scenarios: An Image Set Classification Approach", Information Sciences 2021.

9. P Li, Z Xue, L Zhang, X Lu, G Zhu, P Shen, Syed Afaq Ali Shah, M Bennamoun, "Multi-modal Co-Learning for Liver Segmentation on PET-CT Images", IEEE Transactions on Medical Imaging (TMI) 2021. 

10. Lubna, N Mufti, Syed Afaq Ali Shah, "Automatic Number Plate Recognition: A Detailed Survey of Relevant Algorithms", Sensors 2021. 

11. L Zhang, Z Fan, J Li, G Zhu, P Li, X Yuan, P Shen, Syed Afaq Ali Shah, M Bennamoun, T Hua, W Wei, "U-net based analysis of MRI for Alzheimer's disease diagnosis", Neural Computing and Applications 2021. 

12. Z Zen, T Wang, F Ma, L Zhang, P Shen, Syed Afaq Ali Shah, M Bennamoun, "Probability-based Framework to Fuse Temporal Consistency and Semantic Information for Background Segmentation", IEEE Transactions on Multimedia 2021. 

13. P Li, X Kong, J Li, G Zhu, X Lu, P Shen, Syed Afaq Ali Shah, M Bennamoun, T Hua, "A Dataset of Pulmonary Lesions with Multiple-Level Attributes and Fine Contours" , Frontiers Digital Health 2021. 

14. L Zhang, J Li, G Lu, P Shen, M Bennamoun, Syed Afaq Ali Shah, Q Miao, G Zhu, P Li, and X Lu, "Analysis and Variants of Broad Learning Systems", IEEE Transactions on Systems, Man and Cybernetics: Systems 2020.

15. G Zhu, L Zhang, H Li, P Shen, Syed  Afaq Ali Shah, M Bennamoun, "Topology-learnable Graph Convolution for Skeleton-based Action Recognition". Pattern Recognition Letter 2020.

16. H Li, L Zhang, X Zhang, M Zhang, G Zhu, P Shen, P Li, M Bennamoun, Syed Afaq Ali Shah, "Color Vision Deficiency Datasets & Recoloring Evaluation using GANs", Multimedia Tools and Applications 2020. 

17. L Zhang, J Zhang, P Shen, P Li, X Lu, H Zhang, Syed Afaq Ali Shah, M Bennamoun, "Block Level Skip Connections across Cascaded V-Net for Multi-organ Segmentation", IEEE Transactions on Medical Imaging (TMI) 2020.

18. Y Chen, F Sohel, Syed Afaq Ali Shah, S Ding, "Deep Boltzmann machine for corrosion classification using eddy current pulsed thermography", Optik 2020. 

19. N Sharif, L While, M Bennamoun, W Lui, Syed Afaq Ali Shah,"LCEval: Learned Composite Metric for Caption Evaluation", International Journal of Computer Vision (IJCV) 2019. 

20. G Zhu, L Zhang, L Yang, L Mei, Syed Afaq Ali Shah, M Bennamoun, P Shen, "Redundancy and Attention in Convolutional LSTM for Gesture Recognition", IEEE Transactions on Neural Networks and Learning Systems (TNNLS) 2019. 

21. Syed Afaq Ali Shah, M Bennamoun, M Molton, "Machine Learning Approaches for Prediction of Facial Rejuvenation using Real and Synthetic Data", IEEE Access 2019. [PDF] 

22. G Zhu, L Zhang, P Shen, J Song, Syed Afaq Ali Shah, M Bennamoun, "Continuous Gesture Segmentation and Recognition using 3DCNN and Convolutional LSTM", IEEE Transactions on Multimedia (TMM) 2018. 

23. L Zhang, L Wang, X Zhang, P Shen, M Bennamoun, G Zhu, Syed Afaq Ali Shah, J Suang, "Semantic Scene Completion with Dense CRF from a Single Depth Image", Neurocomputing 2018. 

24. L Zhang, H Li, P Shen, G Zhu, J Song, Syed Afaq Ali Shah, M Bennamoun, L Zhang, "Improving semantic image segmentation with a probabilistic superpixel-based dense conditional random field", IEEE Access 2018. [Impact Factor: 3.244] - [PDF]

25. Syed Afaq Ali Shah, M Bennamoun, F Boussaid, "Evolutionary Feature Learning for 3D Object recognition", IEEE Access 2017. [Impact Factor: 3.244] - [PDF]

26. L Zhang, Q Xu, GM Zhu, J Song, X Zhang, P Shen, W Wei, Syed Afaq Ali Shah, M Bennamoun, "An Improved Colour-to-Grey Method Using Image Segmentation and the Colour Difference Model for Colour Vision Deficiency", IET Image Processing 2017. [Impact Factor: 1.044]  

27. L Zhang, Y Feng, P Shen, G Zhu, J Song, Syed Afaq Ali Shah, M Bennamoun, "Efficient Finger Grained Incremental Processing with MapReduce For  Big Data", Future Generation Computer Systems (FGCS) 2017. [Impact Factor: 3.997]  

28. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "Keypoint-based Surface Representation for 3D Modeling and 3D Object recognition", Pattern Recognition 2016. [Impact Factor: 4.582] 

29. M Molton, Syed Afaq Ali Shah, Mohammed Bennamoun, "Improving the Face of Cosmetic Medicine - An Automatic Three-Dimensional Analysis System for Facial Rejuvenation", Journal of Aesthetic and Reconstructive Surgery 2016. [PDF]

30. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "A Novel Feature Representation for Automatic 3D Object Recognition in Cluttered Scenes", Neurocomputing 2015. [Impact Factor: 3.317]

31. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "Iterative Deep Learning for Image Set based Face and Object Recognition", Neurocomputing 2015. [Impact Factor: 3.317] 

32. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "A Novel 3D Vorticity based approach for automatic registration of low resolution range images", Pattern Recognition 2015. [Impact Factor: 4.582, Ranked: A*] [PDF]

Conference Papers

1. N Wang, G Zhu, H Li, L Zhang, Syed Afaq Ali Shah, M Bennamoun, "Language Model Guided Interpretable Video Action Reasoning", CVPR 2024.

2. S Bughio, D M Cook, Syed Afaq Ali Shah, "Novel Knowledge Graph-Based Modeling for Vulnerability Detection in the Internet of Medical Things", ACIIDS (16th Asian Conference on Intelligent Information and Database Systems) 2024. 

3. J. Gu, M. Jiang, H. Li, X. Lu, G. Zhu, Syed Afaq Ali Shah, L. Zhang, and M. Bennamoun."UE4-NeRF: Neural Radiance Field for Real-Time Rendering of Large-Scale Scene", NeurIPS2023.

4. Syed Afaq Ali Shah, Z Khalifa, "Hierarchical Transformer for Visual Affordance Understanding using a Large Scale Dataset", IROS 2023 (Best Robotics Conference).

5. H Mahmood, A Iqbal, S M S Islam, Syed Afaq Shah,"3D brain registration with intensity shift robustness", ICIP2023.

6. Z Khalifa, Syed Afaq Ali Shah, "A Large-scale multi-view RGBD visual affordance learning dataset", ICIP 2023.

7. G Edwards, N Subianto, D Englund, N Coughran, Z Milton, N Mirnateghi, Syed Afaq Ali Shah, "The Role of Machine Learning in Game Development Domain - A Review of Current Trends and Future Directions", DICTA 2021.

8. N Sharif, M Bennamoun, W Liu, Syed Afaq Ali Shah, "SubICap: Towards Subword-informed Image Captioning", WACV 2021.

9. N Sharif, A Jalwana, M Bennamoun, W Liu, Syed Afaq Ali Shah, "Leveraging Linguistically-aware Object Relations and NASNet for Image Captioning", IVCNZ 2020.

10. N Sharif, M Bennamoun, W Liu, Syed Afaq Ali Shah, "WEmbSim: A Simple yet Effective Metric for Image Captioning", DICTA 2020.

11. N Sharif, M Bennamoun, W Liu, Syed Afaq Ali Shah, "WEmbSim: A Simple yet Effective Metric for Image Captioning", WiCV (ECCV) 2020.

12. Syed Afaq Ali Shah, M Bougre, N Akhtar, M Bennamoun, L Zhang"Efficient Detection of Pixel-Level Adversarial Attacks",  IEEE International Conference on Image Processing (ICIP) 2020. 

13. L Zhang, X Wang, H Li, G Zhu, P Shen, P Li, X Lu, Syed Afaq Ali Shah, M Bennamoun,"Structure-Feature based Graph Self-adapting Pooling", The Web Conference, WWW 2020.

14. L Zhang, Y Liu, H Xiao, L Yang, G Zhu, Syed Afaq Ali Shah, M Bennamoun, P Shen,"Efficient Scene Text Detection with Textual Attention Tower", 45th International Conference on Acoustics, Speech, and Signal Processing ICASSP 2020.  

15. Syed Afaq Ali Shah, "Spatial Hierarchical Analysis Deep Neural Network for RGB-D Object Recognition",  The 9th Pacific-Rim Symposium on Image and Video Technology (PSIVT) 2019.

16. L Zhang, S Zhang, P Shen, G Zhu, Syed Afaq Ali Shah and M Bennamoun, "Relationship Detection Based on Object Semantic Inference and Attention Mechanisms",  ACM International Conference on Multimedia Retrieval (ICMR) 2019.

17. Syed Afaq Ali Shah, M Bennamoun, M Molton, "A Fully Automatic Framework for Prediction of 3D Facial Rejuvenation",  Image and Vision Computing New Zealand (IVCNZ) 2018. 

18. Syed Afaq Ali Shah, M Bennamoun, M Molton, "A Training-Free Mesh Upsampling and Morphing Technique for 3D Face Rejuvenation",  Image and Vision Computing New Zealand (IVCNZ) 2018. 

19. G Zhu, L Zhang, L Mei, P Shen, Syed Afaq Ali Shah, M Bennamoun,"Attention in Convolutional LSTM for Gesture Recognition", Thirty-second Conference on Neural Information Processing Systems (NIPS) 2018.

20. N Sharif, L While, M Bennamoun, Syed Afaq Ali Shah,"NNEval: Neural Network based Evaluation Metric for Image Captioning", European Conference on Computer Vision (ECCV) 2018. 

21. S Ejaz, G Dwivedi, F Sanfilippo. F Sohel, M Bennamoun, Syed Afaq Ali Shah, "Developing and testing a new machine learning method to identify patients with heart failure who are at risk of 30-day readmission or mortality", 66th Annual Scientific Meeting of the Cardiac Society of Australia and New Zealand (CSANZ) 2018.

22. N Sharif, L While, M Bennamoun, Syed Afaq Ali Shah,"Learning-based Composite Metrics for Improved Caption Evaluation", The 56th Annual Meeting of the Association for Computational Linguistics (ACL) SRW 2018.

23. L Zhang, X Kong, PShen, G Zhu, JSong, Syed Afaq Ali Shah, M Bennamoun, "Reflective Field for Pixel-Level Tasks", International Conference on Pattern Recognition (ICPR) 2018.

24. L Zhang, G Zhu, PShen, JSong, Syed Afaq Ali Shah, M Bennamoun, "Learning Spatiotemporal Features using 3DCNN and Convolutional LSTM for Gesture Recognition", IEEE International Conference on Computer Vision (ICCV) Workshop (2017 Chalearn Looking at People).

25. L Zhang, H Li, G Zhu, P Shen, J Song, Syed Afaq Ali Shah, M Bennamoun,"Improving semantic image segmentation with a probabilistic superpixel-based fully connected CRF", Chinese Conference on Computer Vision (CCCV) - 2017

26. H Hu, Syed Afaq Ali Shah, M Bennamoun, "2D and 3D Face Recognition using Convolutional Neural Networks", IEEE Region Ten Conference (TENCON) 2017

27. Syed Afaq Ali Shah, U. Nadeem, M. Bennamoun,  F. Sohel, R. Togneri, "Efficient Image Set Classification using Linear regression based Image reconstruction", IEEE International Conference on Computer Vision and Pattern Recognition (CVPR) Workshop 2017. [PDF]

28. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "Automatic 3D Face Landmark Localization based on 3D Vector Field Analysis", 30th International Conference on Image and Vision Computing New Zealand (IVCNZ) 2015.

29. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "A Novel Algorithm for Efficient Depth Segmentation Using Low Resolution (Kinect) Images", IEEE International Conference on Industrial Electronics and Applications (ICIEA) 2015. [ERA Ranking: A]  [PDF]

30. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "Performance Evaluation of 3D Local Surface Descriptors for Low and High Resolution Range Image Registration", IEEE Digital Image Computing: Techniques and Applications (DICTA) 2014.

31. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, "A Novel Local Surface Desription for Automatic 3D Object Recognition in Low Resolution Cluttered Scenes", IEEE International Conference on Computer Vision (ICCV) Workshop 2013.[PDF]  (Ranked among top 10 in Computer Vision: Google metrics)  

32. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, Amar A El-Sallam, "3D-DIV: A Novel Local Surface Descriptor for Feature Matching and Pairwise Range Image Registration", IEEE International Conference on Image Processing (ICIP) 2013. [PDF] (Ranked 2nd in Image Processing: Google metrics)  

33. Syed Afaq Ali Shah, Mohammed Bennamoun, Farid Boussaid, Amar A El-Sallam, "Automatic Object Detection using Objectness Measure", IEEE International Conference on Communication, Signal Processing and their Applications 2013. [PDF] [Code] (My most downloaded paper @academia)

34. Syed Afaq Ali Shah, Abdul Bais, Ghulam Mubashar Hassan, K.M. Yahya, "Quantification and Visualization of MRI Cartilage of the Knee: A Simplified Approach", IEEE International Conference on Emerging Technologies (ICET) 2010. [PDF]

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Ranking refers to the ERA rating by the ARC Excellence in Research for Australia (ERA) 2010 initiative (http://www.arc.gov.au/era/era_journal_list.htm)