6 papers
CroBIM-U: Uncertainty-Driven Referring Remote Sensing Image Segmentation
Yuzhe Sun, Zhe Dong, Haochen Jiang +2
Referring remote sensing image segmentation aims to localize specific targets described by natural language within complex overhead imagery. However, due to extreme scale variation…
MFAF: An EVA02-Based Multi-scale Frequency Attention Fusion Method for Cross-View Geo-Localization
YiTong Liu, TianZhu Liu, YanFeng GU
Cross-view geo-localization aims to determine the geographical location of a query image by matching it against a gallery of images. This task is challenging due to the significant…
DiffRIS: Enhancing Referring Remote Sensing Image Segmentation with Pre-trained Text-to-Image Diffusion Models
Zhe Dong, Yuzhe Sun, Tianzhu Liu +1
Referring remote sensing image segmentation (RRSIS) enables the precise delineation of regions within remote sensing imagery through natural language descriptions, serving critical…
Zoom-Refine: Boosting High-Resolution Multimodal Understanding via Localized Zoom and Self-Refinement
Xuan Yu, Dayan Guan, Yanfeng Gu
Multimodal Large Language Models (MLLM) often struggle to interpret high-resolution images accurately, where fine-grained details are crucial for complex visual understanding. We i…
EarthMapper: Visual Autoregressive Models for Controllable Bidirectional Satellite-Map Translation
Zhe Dong, Yuzhe Sun, Tianzhu Liu +2
Satellite imagery and maps, as two fundamental data modalities in remote sensing, offer direct observations of the Earth's surface and human-interpretable geographic abstractions,…
An Enhanced Classification Method Based on Adaptive Multi-Scale Fusion for Long-tailed Multispectral Point Clouds
TianZhu Liu, BangYan Hu, YanFeng Gu +2
Multispectral point cloud (MPC) captures 3D spatial-spectral information from the observed scene, which can be used for scene understanding and has a wide range of applications. Ho…