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Muhammad Saqib
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Cited by
Year
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
2022017
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
1382021
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
932019
A comprehensive overview of large language models
H Naveed, AU Khan, S Qiu, M Saqib, S Anwar, M Usman, N Barnes, ...
arXiv preprint arXiv:2307.06435, 2023
912023
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
372019
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
372016
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
312017
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
302018
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
272021
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
272018
Crowd and traffic monitoring apparatus and method
E Felemban, AA Sheikh, M Saqib
US Patent App. 14/799,723, 2017
272017
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
212017
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
192022
Vehicle speed estimation using wireless sensor network
M Saqib, SD Khan, SM Basalamah
INFOCOMP 2011 First International Conference on Advanced Communications and …, 2011
182011
A survey on object instance segmentation
R Sharma, M Saqib, CT Lin, M Blumenstein
SN Computer Science 3 (6), 499, 2022
162022
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
162020
Traffic control system using wireless sensor network
M Saqib, C Lee
2010 The 12th International Conference on Advanced Communication Technology …, 2010
162010
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
112023
Counting of moving people in the video using neural network system
M Arif, M Saqib, S Basalamah, A Naeem
Life Science Journal 9 (3), 1384-1392, 2012
112012
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
92021
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Articles 1–20