| On computational modeling of visual saliency: Examining what’s right, and what’s left NDB Bruce, C Wloka, N Frosst, S Rahman, JK Tsotsos Vision research 116, 95-112, 2015 | 68 | 2015 |
| A Unified Approach for Conventional Zero-Shot, Generalized Zero-Shot, and Few-Shot Learning S Rahman, S Khan, F Porikli IEEE Transactions on Image Processing 27 (11), 5652-5667, 2018 | 55 | 2018 |
| Zero-shot object detection: Learning to simultaneously recognize and localize novel concepts S Rahman, S Khan, F Porikli Asian Conference on Computer Vision, 547-563, 2018 | 54 | 2018 |
| Curvelet texture based face recognition using principal component analysis S Rahman, SM Naim, A Al Farooq, MM Islam 2010 13th International Conference on Computer and Information Technology …, 2010 | 16 | 2010 |
| Performance of PCA Based Semi-supervised Learning in Face Recognition Using MPEG-7 Edge Histogram Descriptor S Rahman, SM Naim, AA Farooq, MM Islam Journal of Multimedia 6 (5), 404-415, 2011 | 15 | 2011 |
| LDA based paper currency recognition system using edge histogram descriptor S Rahman, P Banik, S Naha 2014 17th International Conference on Computer and Information Technology …, 2014 | 14 | 2014 |
| Polarity Loss for Zero-shot Object Detection S Rahman, S Khan, N Barnes arXiv preprint arXiv:1811.08982, 2018 | 13 | 2018 |
| Performance of mpeg-7 edge histogram descriptor in face recognition using principal component analysis S Rahman, SM Naim, A Al Farooq, MM Islam 2010 13th International Conference on Computer and Information Technology …, 2010 | 12 | 2010 |
| Visual saliency prediction and evaluation across different perceptual tasks S Rahman, N Bruce PloS one 10 (9), e0138053, 2015 | 10 | 2015 |
| Sparse coding in early visual representation: From specific properties to general principles NDB Bruce, S Rahman, D Carrier Neurocomputing 171, 1085-1098, 2016 | 9 | 2016 |
| Saliency, scale and information: Towards a unifying theory S Rahman, N Bruce Advances in Neural Information Processing Systems, 2188-2196, 2015 | 9 | 2015 |
| Transductive Learning for Zero-Shot Object Detection S Rahman, S Khan, N Barnes Proceedings of the IEEE International Conference on Computer Vision, 6082-6091, 2019 | 8 | 2019 |
| Zero-shot learning of 3d point cloud objects A Cheraghian, S Rahman, L Petersson 2019 16th International Conference on Machine Vision Applications (MVA), 1-6, 2019 | 7 | 2019 |
| An automated approach for localizing retinal blood vessels in confocal scanning laser ophthalmoscopy fundus images R Kromer, R Shafin, S Boelefahr, M Klemm Journal of medical and biological engineering 36 (4), 485-494, 2016 | 6 | 2016 |
| Factors underlying inter-observer agreement in gaze patterns: Predictive modelling and analysis S Rahman, NDB Bruce Proceedings of the Ninth Biennial ACM Symposium on Eye Tracking Research …, 2016 | 6 | 2016 |
| Combination of Gabor and curvelet texture features for face recognition using principal component analysis S Rahman, SM Naim, AA Farooq, M Islam Int. J. Comput. Electr. Eng 4, 2012 | 6 | 2012 |
| Deep Multiple Instance Learning for Zero-shot Image Tagging S Rahman, S Khan Asian Conference on Computer Vision, 530-546, 2018 | 5 | 2018 |
| Weakly supervised object localization and segmentation in videos M Rochan, S Rahman, NDB Bruce, Y Wang Image and Vision Computing 56, 1-12, 2016 | 5 | 2016 |
| Examining visual saliency prediction in naturalistic scenes S Rahman, M Rochan, Y Wang, NDB Bruce 2014 IEEE International Conference on Image Processing (ICIP), 4082-4086, 2014 | 5 | 2014 |
| Segmenting objects in weakly labeled videos M Rochan, S Rahman, NDB Bruce, Y Wang 2014 Canadian Conference on Computer and Robot Vision, 119-126, 2014 | 5 | 2014 |
Salman KhanInception Institute of AI; Australian National UniversityVerified email at anu.edu.au
