3 papers
cs.CV2026
Deep learning enables urban change profiling through alignment of historical maps
Sidi Wu, Yizi Chen, Maurizio Gribaudi +4
Prior to modern Earth observation technologies, historical maps provide a unique record of long-term urban transformation and offer a lens on the evolving identity of cities. Howev…
cs.IR2025
Geospatial Question Answering on Historical Maps Using Spatio-Temporal Knowledge Graphs and Large Language Models
Ziyi Liu, Sidi Wu, Lorenz Hurni
Recent advances have enabled the extraction of vectorized features from digital historical maps. To fully leverage this information, however, the extracted features must be organiz…
cs.CV2025
Generative AI in Map-Making: A Technical Exploration and Its Implications for Cartographers
Claudio Affolter, Sidi Wu, Yizi Chen +1
Traditional map-making relies heavily on Geographic Information Systems (GIS), requiring domain expertise and being time-consuming, especially for repetitive tasks. Recent advances…