Scholar
Yuru Jia
Google Scholar ID: 62c9GI0AAAAJ
KU Leuven, KTH
Citations & Impact
Citations
93
H-index
3
i10-index
2
Publications
7
Co-authors
7
list available
Contact
Publications
Resume (English only)
Academic Achievements
- - Paper 'Can Generative Geospatial Diffusion Models Excel as Discriminative Geospatial Foundation Models?' accepted by ICCV 2025
- - Paper 'DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control' accepted by ECCV 2024
- - Preprint of 'PANGAEA: A Global and Inclusive Benchmark for Geospatial Foundation Models' released
- - Paper 'COP-GEN-Beta: Unified Generative Modelling of COPernicus Imagery Thumbnails' accepted by CVPR Workshop 2025
- - Paper 'DeFlow: Self-supervised 3D Motion Estimation of Debris Flow' received Best Paper Award at CVPR 2023 Photogrammetric Computer Vision Workshop
- - Received Culmann Prize (Outstanding Master's Thesis) from ETH Zurich in 2024
- - Received Best Paper Award at CVPR Photogrammetric Computer Vision Workshop in 2023
- - Recipient of ETHz Excellence Scholarship (Half Scholarship) in 2021
- - National Scholarship Recipient from Southeast University in 2019
Research Experience
- - Student Researcher at Google
- - Attended ICCV 2025 in Hawaii
- - Attended AI + Environment Summit in Zurich
- - Gave a hands-on tutorial at ESA-NASA International Workshop in ESA-ESRIN, Frascati, Italy
- - Attended ECCV 2024 in Milan
- - Attended SSL4EO workshop in Copenhagen
Education
- - Ph.D.: Geomatics Lab at KU Leuven and Division of Geoinformatics at KTH Royal Institute of Technology (ongoing), Advisors: Prof. Andrea Nascetti, Prof. Maarten Vergauwen, and Prof. Yifang Ban
- - M.Sc.: Geomatics, ETH Zurich, Advisor: Prof. Konrad Schindler
- - B.Sc.: Geographic Information Science, Southeast University
Background
- Research Interests: Computer Vision & Geospatial AI; Bio: Second-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.
Miscellany
- Personal Interests: Not mentioned
