| 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 |
| Fast cross-validation algorithms for least squares support vector machine and kernel ridge regression S An, W Liu, S Venkatesh Pattern Recognition 40 (8), 2154-2162, 2007 | 367 | 2007 |
| Face recognition using kernel ridge regression S An, W Liu, S Venkatesh 2007 IEEE conference on computer vision and pattern recognition, 1-7, 2007 | 283 | 2007 |
| Learning clip representations for skeleton-based 3D action recognition Q Ke, M Bennamoun, S An, F Sohel, F Boussaid IEEE Transactions on Image Processing 27 (6), 2842-2855, 2018 | 275 | 2018 |
| Deep reconstruction models for image set classification M Hayat, M Bennamoun, S An IEEE transactions on pattern analysis and machine intelligence 37 (4), 713-727, 2014 | 199 | 2014 |
| Skeletonnet: Mining deep part features for 3-d action recognition Q Ke, S An, M Bennamoun, F Sohel, F Boussaid IEEE signal processing letters 24 (6), 731-735, 2017 | 193 | 2017 |
| Computer vision for human–machine interaction Q Ke, J Liu, M Bennamoun, S An, F Sohel, F Boussaid Computer vision for assistive healthcare, 127-145, 2018 | 107 | 2018 |
| Coral classification with hybrid feature representations A Mahmood, M Bennamoun, S An, F Sohel, F Boussaid, R Hovey, ... 2016 IEEE International Conference on Image Processing (ICIP), 519-523, 2016 | 102 | 2016 |
| A spatial layout and scale invariant feature representation for indoor scene classification M Hayat, SH Khan, M Bennamoun, S An IEEE Transactions on Image Processing 25 (10), 4829-4841, 2016 | 98 | 2016 |
| Learning non-linear reconstruction models for image set classification M Hayat, M Bennamoun, S An Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2014 | 96 | 2014 |
| Automatic annotation of coral reefs using deep learning A Mahmood, M Bennamoun, S An, F Sohel, F Boussaid, R Hovey, ... Oceans 2016 mts/IEEE monterey, 1-5, 2016 | 85 | 2016 |
| Efficient algorithms for subwindow search in object detection and localization S An, P Peursum, W Liu, S Venkatesh 2009 IEEE Conference on Computer Vision and Pattern Recognition, 264-271, 2009 | 82 | 2009 |
| Deep image representations for coral image classification A Mahmood, M Bennamoun, S An, FA Sohel, F Boussaid, R Hovey, ... IEEE Journal of Oceanic Engineering 44 (1), 121-131, 2018 | 73 | 2018 |
| Computer vision based target-free 3D vibration displacement measurement of structures Y Shao, L Li, J Li, S An, H Hao Engineering Structures 246, 113040, 2021 | 72 | 2021 |
| Resfeats: Residual network based features for image classification A Mahmood, M Bennamoun, S An, F Sohel 2017 IEEE international conference on image processing (ICIP), 1597-1601, 2017 | 67 | 2017 |
| Deep learning for coral classification A Mahmood, M Bennamoun, S An, F Sohel, F Boussaid, R Hovey, ... Handbook of neural computation, 383-401, 2017 | 65 | 2017 |
| Automatic hierarchical classification of kelps using deep residual features A Mahmood, AG Ospina, M Bennamoun, S An, F Sohel, F Boussaid, ... Sensors 20 (2), 447, 2020 | 63 | 2020 |
| Learning latent global network for skeleton-based action prediction Q Ke, M Bennamoun, H Rahmani, S An, F Sohel, F Boussaid IEEE Transactions on Image Processing 29, 959-970, 2019 | 63 | 2019 |
| Blind identification of FIR MIMO channels by decorrelating subchannels Y Hua, S An, Y Xiang IEEE Transactions on Signal Processing 51 (5), 1143-1155, 2003 | 63 | 2003 |
| Human interaction prediction using deep temporal features Q Ke, M Bennamoun, S An, F Boussaid, F Sohel Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016 | 62 | 2016 |
Mohammed BennamounWinthrop Professor - University of Western AustraliaVerified email at uwa.edu.au
