Items where Author is "Sun, Yuxuan"
graph spatial alignment
Wang, Qingwang, Sun, Yuxuan, Shen, Tao, Al-Antary, Mohammad, Alasmary, Hisham and Waqas, Muhammad ORCID: https://orcid.org/0000-0003-0814-7544
(2025)
MGSANet: a multiscale graph spatial alignment network for weakly aligned RGB-thermal object detection.
IEEE Transactions on Geoscience and Remote Sensing, 64:5000318.
ISSN 0196-2892 (Print), 1558-0644 (Online)
(doi:10.1109/TGRS.2025.3647051)
image misalignment network
Wang, Qingwang, Sun, Yuxuan, Shen, Tao, Al-Antary, Mohammad, Alasmary, Hisham and Waqas, Muhammad ORCID: https://orcid.org/0000-0003-0814-7544
(2025)
MGSANet: a multiscale graph spatial alignment network for weakly aligned RGB-thermal object detection.
IEEE Transactions on Geoscience and Remote Sensing, 64:5000318.
ISSN 0196-2892 (Print), 1558-0644 (Online)
(doi:10.1109/TGRS.2025.3647051)
multiscale graph construction
Wang, Qingwang, Sun, Yuxuan, Shen, Tao, Al-Antary, Mohammad, Alasmary, Hisham and Waqas, Muhammad ORCID: https://orcid.org/0000-0003-0814-7544
(2025)
MGSANet: a multiscale graph spatial alignment network for weakly aligned RGB-thermal object detection.
IEEE Transactions on Geoscience and Remote Sensing, 64:5000318.
ISSN 0196-2892 (Print), 1558-0644 (Online)
(doi:10.1109/TGRS.2025.3647051)
RGB-Thermal benchmark dataset
Wang, Qingwang, Sun, Yuxuan, Shen, Tao, Al-Antary, Mohammad, Alasmary, Hisham and Waqas, Muhammad ORCID: https://orcid.org/0000-0003-0814-7544
(2025)
MGSANet: a multiscale graph spatial alignment network for weakly aligned RGB-thermal object detection.
IEEE Transactions on Geoscience and Remote Sensing, 64:5000318.
ISSN 0196-2892 (Print), 1558-0644 (Online)
(doi:10.1109/TGRS.2025.3647051)
RGB-Thermal object detection
Wang, Qingwang, Sun, Yuxuan, Shen, Tao, Al-Antary, Mohammad, Alasmary, Hisham and Waqas, Muhammad ORCID: https://orcid.org/0000-0003-0814-7544
(2025)
MGSANet: a multiscale graph spatial alignment network for weakly aligned RGB-thermal object detection.
IEEE Transactions on Geoscience and Remote Sensing, 64:5000318.
ISSN 0196-2892 (Print), 1558-0644 (Online)
(doi:10.1109/TGRS.2025.3647051)
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