| A comprehensive overview of large language models H Naveed, AU Khan, S Qiu, M Saqib, S Anwar, M Usman, N Akhtar, ... arXiv preprint arXiv:2307.06435, 2023 | 700 | 2023 |
| A study on detecting drones using deep convolutional neural networks M Saqib, SD Khan, N Sharma, M Blumenstein 2017 14th IEEE international conference on advanced video and signal based …, 2017 | 231 | 2017 |
| Drone-vs-bird detection challenge at IEEE AVSS2021 A Coluccia, A Fascista, A Schumann, L Sommer, A Dimou, D Zarpalas, ... 2021 17th IEEE International Conference on Advanced Video and Signal Based …, 2021 | 181 | 2021 |
| Drone detection in long-range surveillance videos M Nalamati, A Kapoor, M Saqib, N Sharma, M Blumenstein 2019 16th IEEE international conference on advanced video and signal based …, 2019 | 125 | 2019 |
| A survey on object instance segmentation R Sharma, M Saqib, CT Lin, M Blumenstein SN Computer Science 3 (6), 499, 2022 | 44 | 2022 |
| Crowd counting in low-resolution crowded scenes using region-based deep convolutional neural networks M Saqib, SD Khan, N Sharma, M Blumenstein IEEE Access 7, 35317-35329, 2019 | 43 | 2019 |
| Texture-based feature mining for crowd density estimation: A study M Saqib, SD Khan, M Blumenstein 2016 International Conference on Image and Vision Computing New Zealand …, 2016 | 42 | 2016 |
| VisDrone-CC2021: the vision meets drone crowd counting challenge results Z Liu, Z He, L Wang, W Wang, Y Yuan, D Zhang, J Zhang, P Zhu, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 35 | 2021 |
| Real-time drone surveillance and population estimation of marine animals from aerial imagery M Saqib, SD Khan, N Sharma, P Scully-Power, P Butcher, A Colefax, ... 2018 International conference on image and vision computing New Zealand …, 2018 | 33 | 2018 |
| Person head detection in multiple scales using deep convolutional neural networks M Saqib, SD Khan, N Sharma, M Blumenstein 2018 International Joint Conference on Neural Networks (IJCNN), 1-7, 2018 | 32 | 2018 |
| Extracting descriptive motion information from crowd scenes M Saqib, SD Khan, N Sharma, M Blumenstein 2017 International Conference on Image and Vision Computing New Zealand …, 2017 | 32 | 2017 |
| Crowd and traffic monitoring apparatus and method E Felemban, AA Sheikh, M Saqib US Patent App. 14/799,723, 2017 | 32 | 2017 |
| Automated monitoring in maritime video surveillance system M Nalamati, N Sharma, M Saqib, M Blumenstein 2020 35th International Conference on Image and Vision Computing New Zealand …, 2020 | 24 | 2020 |
| Detecting dominant motion patterns in crowds of pedestrians M Saqib, SD Khan, M Blumenstein Eighth International Conference on Graphic and Image Processing (ICGIP 2016 …, 2017 | 21 | 2017 |
| Traffic control system using wireless sensor network M Saqib, C Lee 2010 The 12th International Conference on Advanced Communication Technology …, 2010 | 21 | 2010 |
| COVID-19 detection from radiographs: Is deep learning able to handle the crisis? M Saqib, A Anwar, S Anwar, L Petersson, N Sharma, M Blumenstein Signals 3 (2), 296-312, 2022 | 19 | 2022 |
| Container shipment demand forecasting in the Australian shipping industry: A case study of Asia–Oceania trade lane A Ubaid, F Hussain, M Saqib Journal of Marine Science and Engineering 9 (9), 968, 2021 | 19 | 2021 |
| Vehicle speed estimation using wireless sensor network M Saqib, SD Khan, SM Basalamah INFOCOMP 2011 First International Conference on Advanced Communications and …, 2011 | 17 | 2011 |
| Detecting severity of diabetic retinopathy from fundus images using ensembled transformers C Adak, T Karkera, S Chattopadhyay, M Saqib arXiv preprint arXiv:2301.00973, 2023 | 16 | 2023 |
| Image aesthetic assessment: a comparative study of hand-crafted & deep learning models A Anwar, S Kanwal, M Tahir, M Saqib, M Uzair, MKI Rahmani, H Ullah IEEE Access 10, 101770-101789, 2022 | 14* | 2022 |
Nabin SharmaAssociate Professor, University of Technology Sydney, Sydney, Australia確認したメール アドレス: uts.edu.au