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of 15
pro vyhledávání: '"Muhammad Habib Mahmood"'
Publikováno v:
Machine Vision and Applications, 2023, vol. 34, art. núm. 2
Articles publicats (D-ATC)
DUGiDocs – Universitat de Girona
instname
Articles publicats (D-ATC)
DUGiDocs – Universitat de Girona
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Motion cue is pivotal in moving object analysis, which is the root for motion segmentation and detection. These preprocessing tasks are building blocks for several applications such as recognition, matching and estimation. To devise a robust algorith
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff590ae82e834de8daec6134c4efc987
http://hdl.handle.net/10256/22118
http://hdl.handle.net/10256/22118
Autor:
Waqar Tanveer, Muhammad Habib Mahmood
Publikováno v:
INISTA
Most of the researchers are targeting the problem of person re-identification with supervised learning. Person re-identification problem requires a lot of pairwise manually annotated training data for each camera. This approach becomes impractical fo
Autor:
Muhammad Habib Mahmood, Samia Azrab
Publikováno v:
2021 International Conference on Digital Futures and Transformative Technologies (ICoDT2).
Feature learning has always been a critical and most important problem in the field of computer vision. Most of the research community is addressing the problem of feature learning using supervised learning which requires a lot of manually annotated
Publikováno v:
Biomedical Signal Processing and Control. 71:103212
The paper focuses on the detection of mitosis in breast cancer. Detection methods in vogue rely heavily on visual inspection and assessment of histology images by trained pathologists, so the validation of results is a time-consuming process. Even ac
Autor:
Rehan Nawaz, Muhammad Habib Mahmood, Rabbaya Akhtar, Ijaz Mansoor Qureshi, Muhammad Awais Shahid
Publikováno v:
International Journal of Electrical Power & Energy Systems. 130:106819
Smart Grid is the seamless integration of advance digital communication network, state of the art control technologies, and power system infrastructure working together as an entity to ensure the reliability, sustainability, and stability of the powe
Autor:
Muhammad Habib Mahmood, Muhammad Awais Rehman, Muhammad Adeel Ijaz, Mughees Ahmed, Mafaz Ahmad, Muhammad Ahmed Raza
Publikováno v:
2019 International Conference on Electrical, Communication, and Computer Engineering (ICECCE).
In any domain of computer vision it is good to have a high quality stabilized video but in many practical applications such as UAVs and Mobile Videos, it is difficult to get such videos. To work in these scenarios, it is best to stabilize the video f
Publikováno v:
Proceedings of the 1st International Conference on Smart Innovation, Ergonomics and Applied Human Factors (SEAHF) ISBN: 9783030229634
The cyber-attacks in smart grid can be so vulnerable and has the potential to damage the complete power network as well as the utilities of the consumers that are connected to that power network. Blind false data is injected into the communication ne
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::18e28f6a6f5be2fb6438909a56c43a44
https://doi.org/10.1007/978-3-030-22964-1_26
https://doi.org/10.1007/978-3-030-22964-1_26
Publikováno v:
2018 International Conference on Power Generation Systems and Renewable Energy Technologies (PGSRET).
In modern power systems, everything has become advanced technologically. Many devices have been employed for sensing, measurement and the control of the power network. There is a two-way communication between supplier and the consumers. All these thi
Publikováno v:
2018 5th International Multi-Topic ICT Conference (IMTIC).
In the presence of excessive data, the rejection of outliers in data interpretation has gained a lot of importance. In this context, the original Random Sample Consensus (RANSAC) algorithm and lately, its variants have been a hot topic of interest fo
Autor:
Muhammad Habib, Mahmood
Publikováno v:
TDX (Tesis Doctorals en Xarxa)
DUGiDocs – Universitat de Girona
instname
DUGiDocs – Universitat de Girona
instname
Motion segmentation refers to the process of separating regions and trajectories from a video sequence into coherent subsets of space and time. In this thesis, we created a new multifaceted motion segmentation dataset enclosing real-life long and sho
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=RECOLECTA___::7a5f552f7cc089499579baaed6784395
http://hdl.handle.net/10256/17021
http://hdl.handle.net/10256/17021