most citedCrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation

2 citations · 3 across the 5 of their papers we have counts for

collaborators

5 papers

cs.CV2026

CrossEarth-SAR: A SAR-Centric and Billion-Scale Geospatial Foundation Model for Domain Generalizable Semantic Segmentation

Ziqi Ye, Ziyang Gong, Ning Liao +10

Synthetic Aperture Radar (SAR) enables global, all-weather earth observation. However, owing to diverse imaging mechanisms, domain shifts across sensors and regions severely hinder…

cs.RO2026

ACE-Brain-0: Spatial Intelligence as a Shared Scaffold for Universal Embodiments

Ziyang Gong, Zehang Luo, Anke Tang +21

Universal embodied intelligence demands robust generalization across heterogeneous embodiments, such as autonomous driving, robotics, and unmanned aerial vehicles (UAVs). However,…

cs.CV2024★ 2 cited

CrossEarth: Geospatial Vision Foundation Model for Domain Generalizable Remote Sensing Semantic Segmentation

Ziyang Gong, Zhixiang Wei, Di Wang +13

The field of Remote Sensing Domain Generalization (RSDG) has emerged as a critical and valuable research frontier, focusing on developing models that generalize effectively across…

cs.IR2024

Multi-Grained Query-Guided Set Prediction Network for Grounded Multimodal Named Entity Recognition

Jielong Tang, Zhenxing Wang, Ziyang Gong +3

Grounded Multimodal Named Entity Recognition (GMNER) is an emerging information extraction (IE) task, aiming to simultaneously extract entity spans, types, and corresponding visual…

cs.CV2024★ 1 cited

CoDA: Instructive Chain-of-Domain Adaptation with Severity-Aware Visual Prompt Tuning

Ziyang Gong, Fuhao Li, Yupeng Deng +4

Unsupervised Domain Adaptation (UDA) aims to adapt models from labeled source domains to unlabeled target domains. When adapting to adverse scenes, existing UDA methods fail to per…