7 citations · 10 across the 6 of their papers we have counts for
7 papers
Cross-view Localization and Synthesis -- Datasets, Challenges and Opportunities
Ningli Xu, Rongjun Qin
Cross-view localization and synthesis are two fundamental tasks in cross-view visual understanding, which deals with cross-view datasets: overhead (satellite or aerial) and ground-…
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…
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…
Skyeyes: Ground Roaming using Aerial View Images
Zhiyuan Gao, Wenbin Teng, Gonglin Chen +5
Integrating aerial imagery-based scene generation into applications like autonomous driving and gaming enhances realism in 3D environments, but challenges remain in creating detail…
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…
Large-scale DSM registration via motion averaging
Ningli Xu, Rongjun Qin
Generating wide-area digital surface models (DSMs) requires registering a large number of individual, and partially overlapped DSMs. This presents a challenging problem for a typic…
Multi-tiling Neural Radiance Field (NeRF) -- Geometric Assessment on Large-scale Aerial Datasets
Ningli Xu, Rongjun Qin, Debao Huang +1
Neural Radiance Fields (NeRF) offer the potential to benefit 3D reconstruction tasks, including aerial photogrammetry. However, the scalability and accuracy of the inferred geometr…