Yuru Jia

According to our database, Yuru Jia authored at least 8 papers between 2023 and 2025.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2025

Earth-Adapter: Bridge the Geospatial Domain Gaps with Mixture of Frequency Adaptation.

Xiaoxing Hu, Ziyang Gong, Yupei Wang, Yuru Jia, Gen Luo, Xue Yang

CoRR, April, 2025

Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?

Yuru Jia, Valerio Marsocci, Ziyang Gong, Xue Yang, Maarten Vergauwen, Andrea Nascetti

CoRR, March, 2025

COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails.

Miguel Espinosa, Valerio Marsocci, Yuru Jia, Elliot Crowley, Mikolaj Czerkawski

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

2024

PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models.

Valerio Marsocci, Yuru Jia, Georges Le Bellier, Dávid Kerekes, Liang Zeng, Sebastian Hafner, Sebastian Gerard, Eric Brune, Ritu Yadav, Ali Shibli, Heng Fang, Yifang Ban, Maarten Vergauwen, Nicolas Audebert, Andrea Nascetti

CoRR, 2024

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

Ziyang Gong, Zhixiang Wei, Di Wang, Xianzheng Ma, Hongruixuan Chen, Yuru Jia, Yupeng Deng, Zhenming Ji, Xiangwei Zhu, Naoto Yokoya, Jing Zhang, Bo Du, Liangpei Zhang

CoRR, 2024

Innovative optimal risk and economic management of a hybrid electric/hydrogen refueling station with water electrolyze and steam methane reform technologies for hydrogen supply.

Xiaoyang Li, Zhenyang Lyu, Yuru Jia, Xiaofei Deng

Comput. Chem. Eng., 2024

DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control.

Yuru Jia, Lukas Hoyer, Shengyu Huang, Tianfu Wang, Luc Van Gool, Konrad Schindler, Anton Obukhov

Proceedings of the Computer Vision - ECCV 2024, 2024

2023

DeFlow: Self-supervised 3D Motion Estimation of Debris Flow.

Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023