PhD Student in Foundation Models for Earth Observation
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Hello, I’m a first-year Ph.D. student at the Geomatics Lab at KU Leuven and the Division of Geoinformatics at KTH Royal Institute of Technology, under the joint supervision of Prof. Andrea Nascetti, Prof. Maarten Vergauwen, and Prof. Yifang Ban.
I previously earned my master’s degree in Geomatics from ETH Zurich, where I was advised by Prof. Konrad Schindler. Prior to that, I completed my bachelor’s in Geographic Information Science at Southeast University.
I’m interested in generative models and self-supervised learning, especially in their application to satellite remote sensing imagery.
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
European Conference on Computer Vision (ECCV) 2024
*paper / project page / code*
PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models
Valerio Marsocci *, **Yuru Jia ***, Georges Le Bellier, David Kerekes, Liang Zeng, Sebastian Hafner, Sebastian Gerard, Eric Brune, Ritu Yadav, Ali Shibli, Heng Fang, Yifang Ban, Maarten Vergauwen, Nicolas Audebert, Andrea Nascetti
(* equal contribution)
arXiv pre-print
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
arXiv pre-print
*paper / project page / code*
DeFlow: Self-supervised 3D Motion Estimation of Debris Flow
Liyuan Zhu, Yuru Jia, Shengyu Huang, Nicholas Meyer, Andreas Wieser, Konrad Schindler, Jordan Aaron
CVPR Workshop 2023 (Best Paper Award)
*paper / project page / code*
