| Deep learning for 3d point clouds: A survey Y Guo, H Wang, Q Hu, H Liu, L Liu, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 43 (12), 4338 …, 2020 | 1969 | 2020 |
| Linear regression for face recognition I Naseem, R Togneri, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 32 (11), 2106 …, 2010 | 1194 | 2010 |
| Cost-sensitive learning of deep feature representations from imbalanced data SH Khan, M Hayat, M Bennamoun, FA Sohel, R Togneri IEEE transactions on neural networks and learning systems 29 (8), 3573-3587, 2017 | 1080 | 2017 |
| A new representation of skeleton sequences for 3d action recognition Q Ke, M Bennamoun, S An, F Sohel, F Boussaid Proceedings of the IEEE conference on computer vision and pattern …, 2017 | 997 | 2017 |
| A Guide to Convolutional Neural Networks for Computer Vision S Khan, H Rahmani, SAA Shah, M Bennamoun Synthesis Lectures on Computer Vision 8 (1), 1-207, 2018 | 929 | 2018 |
| Hands-on Bayesian neural networks—A tutorial for deep learning users LV Jospin, H Laga, F Boussaid, W Buntine, M Bennamoun IEEE Computational Intelligence Magazine 17 (2), 29-48, 2022 | 759 | 2022 |
| Three-dimensional model-based object recognition and segmentation in cluttered scenes AS Mian, M Bennamoun, R Owens IEEE transactions on pattern analysis and machine intelligence 28 (10), 1584 …, 2006 | 751 | 2006 |
| Rotational projection statistics for 3D local surface description and object recognition Y Guo, F Sohel, M Bennamoun, M Lu, J Wan International journal of computer vision 105, 63-86, 2013 | 731 | 2013 |
| 3D Object Recognition in Cluttered Scenes with Local Surface Features: A Survey Y Guo, M Bennamoun, F Sohel, M Lu, J Wan PAMI- IEEE Trans. on Pattern Analysis and Machine Intelligence, 1-1, 2014 | 707 | 2014 |
| A Comprehensive Performance Evaluation of 3D Local Feature Descriptors Y Guo, M Bennamoun, F Sohel, M Lu, J Wan, NM Kwok IJCV-International Journal of Computer Vision, 1-24, 2015 | 661 | 2015 |
| An efficient multimodal 2D-3D hybrid approach to automatic face recognition A Mian, M Bennamoun, R Owens IEEE transactions on pattern analysis and machine intelligence 29 (11), 1927 …, 2007 | 623 | 2007 |
| Ontology learning from text: A look back and into the future W Wong, W Liu, M Bennamoun ACM computing surveys (CSUR) 44 (4), 1-36, 2012 | 596 | 2012 |
| On the repeatability and quality of keypoints for local feature-based 3d object retrieval from cluttered scenes A Mian, M Bennamoun, R Owens International Journal of Computer Vision 89, 348-361, 2010 | 525 | 2010 |
| Human action recognition from various data modalities: A review Z Sun, Q Ke, H Rahmani, M Bennamoun, G Wang, J Liu IEEE transactions on pattern analysis and machine intelligence 45 (3), 3200-3225, 2022 | 521 | 2022 |
| Trends in computer‐aided manufacturing in prosthodontics: a review of the available streams J Abduo, K Lyons, M Bennamoun International journal of dentistry 2014 (1), 783948, 2014 | 495 | 2014 |
| Training spiking neural networks using lessons from deep learning JK Eshraghian, M Ward, EO Neftci, X Wang, G Lenz, G Dwivedi, ... Proceedings of the IEEE, 2023 | 459 | 2023 |
| Image-based 3D object reconstruction: State-of-the-art and trends in the deep learning era XF Han, H Laga, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 43 (5), 1578-1604, 2019 | 454 | 2019 |
| Keypoint detection and local feature matching for textured 3D face recognition AS Mian, M Bennamoun, R Owens International Journal of Computer Vision 79, 1-12, 2008 | 317 | 2008 |
| A survey on deep learning techniques for stereo-based depth estimation H Laga, LV Jospin, F Boussaid, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 44 (4), 1738-1764, 2020 | 302 | 2020 |
| Biometrics recognition using deep learning: A survey S Minaee, A Abdolrashidi, H Su, M Bennamoun, D Zhang Artificial Intelligence Review 56 (8), 8647-8695, 2023 | 286 | 2023 |
Ferdous SohelMurdoch UniversityVerified email at murdoch.edu.au
