| Human activity recognition via recognized body parts of human depth silhouettes for residents monitoring services at smart home A Jalal, N Sarif, JT Kim, TS Kim Indoor and built environment 22 (1), 271-279, 2013 | 200 | 2013 |
| Learning-based composite metrics for improved caption evaluation N Sharif, L White, M Bennamoun, SAA Shah Proceedings of ACL 2018, student research workshop, 14-20, 2018 | 26 | 2018 |
| NNEval: Neural network based evaluation metric for image captioning N Sharif, L White, M Bennamoun, SAA Shah Proceedings of the European Conference on Computer Vision (ECCV), 37-53, 2018 | 23 | 2018 |
| Quantitative analysis of state-of-the-art synchronizers: Clock domain crossing perspective N Sharif, N Ramzan, FK Lodhi, O Hasan, SR Hasan 2011 7th International Conference on Emerging Technologies, 1-6, 2011 | 16 | 2011 |
| Vision to language: Methods, metrics and datasets N Sharif, U Nadeem, SAA Shah, M Bennamoun, W Liu Machine Learning Paradigms: Advances in Deep Learning-based Technological …, 2020 | 12 | 2020 |
| Lceval: Learned composite metric for caption evaluation N Sharif, L White, M Bennamoun, W Liu, SAA Shah International Journal of Computer Vision 127, 1586-1610, 2019 | 11 | 2019 |
| Machine learning for abdominal aortic calcification assessment from bone density machine-derived lateral spine images N Sharif, SZ Gilani, D Suter, S Reid, P Szulc, D Kimelman, BA Monchka, ... EBioMedicine 94, 2023 | 7 | 2023 |
| Timing variation aware dynamic digital phase detector for low‐latency clock domain crossing FK Lodhi, SR Hasan, N Sharif, N Ramzan, O Hasan IET Circuits, Devices & Systems 8 (1), 58-64, 2014 | 4 | 2014 |
| Subicap: towards subword-informed image captioning N Sharif, M Bennamoun, W Liu, SAA Shah Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2021 | 3 | 2021 |
| WEmbSim: a simple yet effective metric for image captioning N Sharif, L White, M Bennamoun, W Liu, SAA Shah 2020 Digital Image Computing: Techniques and Applications (DICTA), 1-8, 2020 | 3 | 2020 |
| Machine‐Learning Assessed Abdominal Aortic Calcification is Associated with Long‐Term Fall and Fracture Risk in Community‐Dwelling Older Australian Women J Dalla Via, AK Gebre, C Smith, Z Gilani, D Suter, N Sharif, P Szulc, ... Journal of Bone and Mineral Research 38 (12), 1867-1876, 2023 | 2 | 2023 |
| Investigating Language Use by Polarised Groups on Twitter: A Case Study of the Bushfires Mehwish Nasim, Naeha Sharif, Bhandari Pranav, Derek Weber, Martin Wood ... 26th Australasian Document Computing Symposium, 2022 | 2 | 2022 |
| Leveraging Linguistically-aware object relations and NASNet for image captioning N Sharif, MAAK Jalwana, M Bennamoun, W Liu, SAA Shah 2020 35th International Conference on Image and Vision Computing New Zealand …, 2020 | 2 | 2020 |
| Show, attend and detect: towards fine-grained assessment of abdominal aortic calcification on vertebral fracture assessment scans SZ Gilani, N Sharif, D Suter, JT Schousboe, S Reid, WD Leslie, JR Lewis International Conference on Medical Image Computing and Computer-Assisted …, 2022 | 1 | 2022 |
| GuideNet: Learning Inter-Vertebral Guides in DXA Lateral Spine Images Z Ilyas, N Sharif, JT Schousboe, JR Lewis, D Suter, SZ Gilani 2021 Digital Image Computing: Techniques and Applications (DICTA), 01-07, 2021 | 1 | 2021 |
| Multimodal Neuroimaging Attention-Based architecture for Cognitive Decline Prediction J Vo, N Sharif, GM Hassan arXiv preprint arXiv:2401.06777, 2023 | | 2023 |
| Artificial Intelligence in the Image-Guided Care of Atrial Fibrillation Y Lyu, M Bennamoun, N Sharif, GYH Lip, G Dwivedi Life 13 (9), 1870, 2023 | | 2023 |
| Natural Language Description of Images N Sharif | | 2020 |
| Proceedings of the Student Research Workshop V Shwartz, J Tabassum, R Voigt The 56th Annual Meeting of the Association for Computational Linguistics, 2018 | | 2018 |
| Design of A Digital Phase Detector For Cross Clock Domains In MPSoC FK Lodhi, N Ramzan, N Sharif NUST-SEECS, 2011 | | 2011 |
Mohammed BennamounWinthrop Professor - University of Western Australia在 uwa.edu.au 的电子邮件经过验证
