| Linear regression for face recognition I Naseem, R Togneri, M Bennamoun IEEE transactions on pattern analysis and machine intelligence 32 (11), 2106 …, 2010 | 1110 | 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 | 662 | 2017 |
| 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 | 633 | 2006 |
| 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 | 632 | 2020 |
| 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 | 619 | 2017 |
| 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 | 601 | 2007 |
| 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 | 580 | 2014 |
| 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 (1), 63-86, 2013 | 534 | 2013 |
| 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 | 511 | 2012 |
| 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 | 482 | 2015 |
| 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 | 477 | 2018 |
| 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 (2), 348-361, 2010 | 463 | 2010 |
| Keypoint detection and local feature matching for textured 3D face recognition AS Mian, M Bennamoun, R Owens International Journal of Computer Vision 79 (1), 1-12, 2008 | 291 | 2008 |
| Trends in computer-aided manufacturing in prosthodontics: a review of the available streams J Abduo, K Lyons, M Bennamoun International journal of dentistry 2014, 2014 | 279 | 2014 |
| A novel representation and feature matching algorithm for automatic pairwise registration of range images AS Mian, M Bennamoun, RA Owens International Journal of Computer Vision 66 (1), 19-40, 2006 | 249 | 2006 |
| Optimal Gabor filters for textile flaw detection A Bodnarova, M Bennamoun, S Latham Pattern recognition 35 (12), 2973-2991, 2002 | 248 | 2002 |
| Automatic Shadow Detection and Removal from a Single Image S Khan, M Bennamoun, F Sohel, R Togneri PAMI: Pattern Analysis and Machine Intelligence, IEEE Transactions on, 2015 | 213 | 2015 |
| 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 | 179 | 2019 |
| Deep Reconstruction Models for Image Set Classification M Hayat, M Bennamoun, S An PAMI- IEEE Trans. on Pattern Analysis and Machine Intelligence (PAMI), 2014 | 174 | 2014 |
| Learning spatiotemporal features using 3dcnn and convolutional lstm for gesture recognition L Zhang, G Zhu, P Shen, J Song, S Afaq Shah, M Bennamoun Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 171 | 2017 |
Ferdous SohelMurdoch UniversityVerified email at murdoch.edu.au
