1 citations · 1 across the 3 of their papers we have counts for
3 papers
cs.CV2025
Deep learning for 3D point cloud processing -- from approaches, tasks to its implications on urban and environmental applications
Zhenxin Zhang, Zhihua Xu, Yuwei Cao +5
Point cloud processing as a fundamental task in the field of geomatics and computer vision, has been supporting tasks and applications at different scales from air to ground, inclu…
cs.CV2025★ 1 cited
Satellite to GroundScape -- Large-scale Consistent Ground View Generation from Satellite Views
Ningli Xu, Rongjun Qin
Generating consistent ground-view images from satellite imagery is challenging, primarily due to the large discrepancies in viewing angles and resolution between satellite and grou…
cs.CV2024
Geospecific View Generation -- Geometry-Context Aware High-resolution Ground View Inference from Satellite Views
Ningli Xu, Rongjun Qin
Predicting realistic ground views from satellite imagery in urban scenes is a challenging task due to the significant view gaps between satellite and ground-view images. We propose…