Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Pemasiri, Akila"'
This study introduces a new framework for 3D person re-identification (re-ID) that leverages readily available high-resolution texture data in 3D reconstruction to improve the performance and explainability of the person re-ID task. We propose a meth
Externí odkaz:
http://arxiv.org/abs/2410.00348
Autor:
Pemasiri, Akila, Huang, Zi, Williams, Fraser, Goan, Ethan, Denman, Simon, Martin, Terrence, Fookes, Clinton
This paper addresses a critical preliminary step in radar signal processing: detecting the presence of a radar signal and robustly estimating its bandwidth. Existing methods which are largely statistical feature-based approaches face challenges in el
Externí odkaz:
http://arxiv.org/abs/2402.19073
Radio signal recognition is a crucial function in electronic warfare. Precise identification and localisation of radar pulse activities are required by electronic warfare systems to produce effective countermeasures. Despite the importance of these t
Externí odkaz:
http://arxiv.org/abs/2312.09489
Radio signal recognition is a crucial task in both civilian and military applications, as accurate and timely identification of unknown signals is an essential part of spectrum management and electronic warfare. The majority of research in this field
Externí odkaz:
http://arxiv.org/abs/2306.13105
Autor:
Dayarathna, Thisun, Muthukumarana, Thamidu, Rathnayaka, Yasiru, Denman, Simon, de Silva, Chathura, Pemasiri, Akila, Ahmedt-Aristizabal, David
Publikováno v:
Expert Systems with Applications, Volume 213, Part C, 1 March 2023, 119139
Recently, in-bed human pose estimation has attracted the interest of researchers due to its relevance to a wide range of healthcare applications. Compared to the general problem of human pose estimation, in-bed pose estimation has several inherent ch
Externí odkaz:
http://arxiv.org/abs/2202.10704
This work addresses hand mesh recovery from a single RGB image. In contrast to most of the existing approaches where the parametric hand models are employed as the prior, we show that the hand mesh can be learned directly from the input image. We pro
Externí odkaz:
http://arxiv.org/abs/2101.11239
Autor:
Dayarathna, Thisun, Muthukumarana, Thamidu, Rathnayaka, Yasiru, Denman, Simon, de Silva, Chathura, Pemasiri, Akila, Ahmedt-Aristizabal, David
Publikováno v:
In Expert Systems With Applications 1 March 2023 213 Part C
Establishing semantic correspondence across images when the objects in the images have undergone complex deformations remains a challenging task in the field of computer vision. In this paper, we propose a hierarchical method to tackle this problem b
Externí odkaz:
http://arxiv.org/abs/1806.03560
Image patch matching, which is the process of identifying corresponding patches across images, has been used as a subroutine for many computer vision and image processing tasks. State -of-the-art patch matching techniques take image patches as input
Externí odkaz:
http://arxiv.org/abs/1806.03556
Publikováno v:
In Computer Vision and Image Understanding January 2021 202