4 papers
GeoEdit: Local Frames for Fast, Training-Free On-Manifold Editing in Diffusion Models
Yiming Zhang, Sitong Liu, Ke Li +3
Diffusion models are a leading paradigm for data generation, but training-free editing typically re-runs the full denoising trajectory for every edit strength, making iterative ref…
A Dual-Branch Local-Global Framework for Cross-Resolution Land Cover Mapping
Peng Gao, Ke Li, Di Wang +4
Cross-resolution land cover mapping aims to produce high-resolution semantic predictions from coarse or low-resolution supervision, yet the severe resolution mismatch makes effecti…
Enhancing Cross-View Geo-Localization Generalization via Global-Local Consistency and Geometric Equivariance
Xiaowei Wang, Di Wang, Ke Li +6
Cross-view geo-localization (CVGL) aims to match images of the same location captured from drastically different viewpoints. Despite recent progress, existing methods still face tw…
RSVG-ZeroOV: Exploring a Training-Free Framework for Zero-Shot Open-Vocabulary Visual Grounding in Remote Sensing Images
Ke Li, Di Wang, Ting Wang +6
Remote sensing visual grounding (RSVG) aims to localize objects in remote sensing images based on free-form natural language expressions. Existing approaches are typically constrai…