| Semantic-aware Knowledge Distillation for Few-Shot Class-Incremental Learning A Cheraghian, S Rahman, P Fang, SK Roy, L Petersson, M Harandi Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 279 | 2021 |
| 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 | 255 | 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 | 197 | 2018 |
| Improved visual-semantic alignment for zero-shot object detection S Rahman, S Khan, N Barnes Proceedings of the AAAI Conference on Artificial Intelligence 34 (07), 11932 …, 2020 | 144 | 2020 |
| 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 | 114 | 2015 |
| Synthesized Feature Based Few-Shot Class-Incremental Learning on a Mixture of Subspaces A Cheraghian, S Rahman, S Ramasinghe, P Fang, C Simon, L Petersson, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 106 | 2021 |
| Transductive learning for zero-shot object detection S Rahman, S Khan, N Barnes Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 102 | 2019 |
| Graph Convolutional Networks for Assessment of Physical Rehabilitation Exercises S Deb, MF Islam, S Rahman, S Rahman IEEE Transactions on Neural Systems and Rehabilitation Engineering 30, 410-419, 2022 | 86 | 2022 |
| Synthesizing the Unseen for Zero-shot Object Detection N Hayat, M Hayat, S Rahman, S Khan, SW Zamir, FS Khan Proceedings of the Asian Conference on Computer Vision, 2020 | 85 | 2020 |
| Transductive zero-shot learning for 3d point cloud classification A Cheraghian, S Rahman, D Campbell, L Petersson Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2020 | 84 | 2020 |
| 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 | 80 | 2019 |
| Zero-shot learning on 3d point cloud objects and beyond A Cheraghian, S Rahman, TF Chowdhury, D Campbell, L Petersson International Journal of Computer Vision, 1-21, 2022 | 78 | 2022 |
| Zero-shot object detection: Joint recognition and localization of novel concepts S Rahman, SH Khan, F Porikli International Journal of Computer Vision 128 (12), 2979-2999, 2020 | 68 | 2020 |
| Mitigating the Hubness Problem for Zero-Shot Learning of 3D Objects A Cheraghian, S Rahman, D Campbell, L Petersson The British Machine Vision Conference (BMVC), 2019 | 59 | 2019 |
| Polarity Loss for Zero-shot Object Detection S Rahman, S Khan, N Barnes arXiv preprint arXiv:1811.08982, 2018 | 58 | 2018 |
| Task-generalizable Adversarial Attack based on Perceptual Metric M Naseer, SH Khan, S Rahman, F Porikli arXiv preprint arXiv:1811.09020, 2018 | 57 | 2018 |
| Exemplar Guided Deep Neural Network for Spatial Transcriptomics Analysis of Gene Expression Prediction Y Yang, MZ Hossain, EA Stone, S Rahman Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 42 | 2023 |
| Spatial transcriptomics analysis of gene expression prediction using exemplar guided graph neural network Y Yang, MZ Hossain, E Stone, S Rahman Pattern Recognition 145, 109966, 2024 | 41 | 2024 |
| Continual Test-time Domain Adaptation via Dynamic Sample Selection Y Wang, J Hong, A Cheraghian, S Rahman, D Ahmedt-Aristizabal, ... Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 40 | 2024 |
| DeepVANet: a deep end-to-end network for multi-modal emotion recognition Y Zhang, MZ Hossain, S Rahman IFIP Conference on Human-Computer Interaction, 227-237, 2021 | 40 | 2021 |
Ali cheraghianSenior Scientist, Macquarie UniversityVerified email at mq.edu.au
