94 citations · 101 across the 21 of their papers we have counts for
9 papers · 1 filter
Fine-Grained Building Function Recognition from Street-View Images via Geometry-Aware Semi-Supervised Learning
Weijia Li, Jinhua Yu, Dairong Chen +5
In this work, we propose a geometry-aware semi-supervised framework for fine-grained building function recognition, utilizing geometric relationships among multi-source data to enh…
Evidential Graph Contrastive Alignment for Source-Free Blending-Target Domain Adaptation
Juepeng Zheng, Yibin Wen, Jinxiao Zhang +2
In this paper, we firstly tackle a more realistic Domain Adaptation (DA) setting: Source-Free Blending-Target Domain Adaptation (SF-BTDA), where we can not access to source domain…
A-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder
Lixian Zhang, Yi Zhao, Runmin Dong +10
Vast amounts of remote sensing (RS) data provide Earth observations across multiple dimensions, encompassing critical spatial, temporal, and spectral information which is essential…
FUSU: A Multi-temporal-source Land Use Change Segmentation Dataset for Fine-grained Urban Semantic Understanding
Shuai Yuan, Guancong Lin, Lixian Zhang +6
Fine urban change segmentation using multi-temporal remote sensing images is essential for understanding human-environment interactions in urban areas. Although there have been adv…
Global High Categorical Resolution Land Cover Mapping via Weak Supervision
Xin-Yi Tong, Runmin Dong, Xiao Xiang Zhu
Land cover information is indispensable for advancing the United Nations' sustainable development goals, and land cover mapping under a more detailed category system would signific…
Continual Test-Time Adaptation for Object Detection with Adaptive Monitoring and Randomized Restoration
Shilei Cao, Juepeng Zheng, Yan Liu +5
Real-world application models are commonly deployed in dynamic environments, where the target domain distribution undergoes temporal changes. Continual Test-Time Adaptation (CTTA)…
Decomposing weather forecasting into advection and convection with neural networks
Mengxuan Chen, Ziqi Yuan, Jinxiao Zhang +2
Operational weather forecasting models have advanced for decades on both the explicit numerical solvers and the empirical physical parameterization schemes. However, the involved h…
Building Bridges across Spatial and Temporal Resolutions: Reference-Based Super-Resolution via Change Priors and Conditional Diffusion Model
Runmin Dong, Shuai Yuan, Bin Luo +6
Reference-based super-resolution (RefSR) has the potential to build bridges across spatial and temporal resolutions of remote sensing images. However, existing RefSR methods are li…
DeepLight: Reconstructing High-Resolution Observations of Nighttime Light With Multi-Modal Remote Sensing Data
Lixian Zhang, Runmin Dong, Shuai Yuan +4
Nighttime light (NTL) remote sensing observation serves as a unique proxy for quantitatively assessing progress toward meeting a series of Sustainable Development Goals (SDGs), suc…