6 papers
GLEAM: Learning to Match and Explain in Cross-View Geo-Localization
Xudong Lu, Zhi Zheng, Yi Wan +11
Cross-View Geo-Localization (CVGL) focuses on identifying correspondences between images captured from distinct perspectives of the same geographical location. However, existing CV…
HIMOSA: Efficient Remote Sensing Image Super-Resolution with Hierarchical Mixture of Sparse Attention
Yi Liu, Yi Wan, Xinyi Liu +4
In remote sensing applications, such as disaster detection and response, real-time efficiency and model lightweighting are of critical importance. Consequently, existing remote sen…
ViewBridge:Revisiting Cross-View Localization from Image Matching
Panwang Xia, Qiong Wu, Lei Yu +11
Cross-view localization aims to estimate the 3-DoF pose of a ground-view image by aligning it with aerial or satellite imagery. Existing methods typically address this task through…
StereoINR: Cross-View Geometry Consistent Stereo Super Resolution with Implicit Neural Representation
Yi Liu, Xinyi Liu, Yi Wan +3
Stereo image super-resolution (SSR) aims to enhance high-resolution details by leveraging information from stereo image pairs. However, existing stereo super-resolution (SSR) upsam…
Cross-View Geo-Localization with Street-View and VHR Satellite Imagery in Decentrality Settings
Panwang Xia, Lei Yu, Yi Wan +12
Cross-View Geo-Localization tackles the challenge of image geo-localization in GNSS-denied environments, including disaster response scenarios, urban canyons, and dense forests, by…
Cross-View Image Set Geo-Localization
Qiong Wu, Panwang Xia, Lei Yu +7
Cross-view geo-localization (CVGL) has been widely applied in fields such as robotic navigation and augmented reality. Existing approaches primarily use single images or fixed-view…