Zobrazeno 1 - 10
of 364
pro vyhledávání: '"Bhutta, M."'
Deep learning-based image retrieval techniques for the loop closure detection demonstrate satisfactory performance. However, it is still challenging to achieve high-level performance based on previously trained models in different geographical region
Externí odkaz:
http://arxiv.org/abs/2201.03212
The presence of any type of defect on the glass screen of smart devices has a great impact on their quality. We present a robust semi-supervised learning framework for intelligent micro-scaled localization and classification of defects on a 16K pixel
Externí odkaz:
http://arxiv.org/abs/2010.00741
Publikováno v:
IEEE Transactions on Cybernetics, 2020
In this paper, we present a multi-agent framework for real-time large-scale 3D reconstruction applications. In SLAM, researchers usually build and update a 3D map after applying non-linear pose graph optimization techniques. Moreover, many multi-agen
Externí odkaz:
http://arxiv.org/abs/2009.13851
Publikováno v:
International Journal of Organizational Analysis, 2021, Vol. 30, Issue 6, pp. 1754-1770.
Externí odkaz:
http://www.emeraldinsight.com/doi/10.1108/IJOA-10-2020-2446
Autor:
Bhutta, M. Usman Maqbool, Liu, Ming
For both indoor and outdoor environments, we propose an efficient and novel method for different scales and sparse 3D point clouds registration that cannot be handled by the current popular ICP approaches. Our algorithm efficiently detects the scale
Externí odkaz:
http://arxiv.org/abs/1808.09693
Autor:
Ma, Han, Ma, Yixin, Jiao, Jianhao, Bhutta, M Usman Maqbool, Bocus, Mohammud Junaid, Wang, Lujia, Liu, Ming, Fan, Rui
Lane detection is very important for self-driving vehicles. In recent years, computer stereo vision has been prevalently used to enhance the accuracy of the lane detection systems. This paper mainly presents a multiple lane detection algorithm develo
Externí odkaz:
http://arxiv.org/abs/1808.09128
Autor:
Haider, Muhammad Husnain, Wang, Zhonglai, Khan, Abdullah Aman, Ali, Hub, Zheng, Hao, Usman, Shaban, Kumar, Rajesh, Bhutta, M. Usman Maqbool, Zhi, Pengpeng
Publikováno v:
In Journal of King Saud University - Computer and Information Sciences November 2022 34(10) Part B:9060-9070
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.
Autor:
Bhutta, M. Khurrum S., Muzaffar, Asif, Egilmez, Gokhan, Huq, Faizul, Malik, Muhammad Nasir, Warraich, Muhammad Akmal
Publikováno v:
In Sustainable Production and Consumption October 2021 28:1508-1521
Akademický článek
Tento výsledek nelze pro nepřihlášené uživatele zobrazit.
K zobrazení výsledku je třeba se přihlásit.
K zobrazení výsledku je třeba se přihlásit.