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FRIEDA: Benchmarking Multi-Step Cartographic Reasoning in Vision-Language Models
Jiyoon Pyo, Yuankun Jiao, Dongwon Jung +11
Cartographic reasoning is the skill of interpreting geographic relationships by aligning legends, map scales, compass directions, map texts, and geometries across one or more map i…
TiCLS : Tightly Coupled Language Text Spotter
Leeje Jang, Yijun Lin, Yao-Yi Chiang +1
Scene text spotting aims to detect and recognize text in real-world images, where instances are often short, fragmented, or visually ambiguous. Existing methods primarily rely on v…
LIGHT: Multi-Modal Text Linking on Historical Maps
Yijun Lin, Rhett Olson, Junhan Wu +2
Text on historical maps provides valuable information for studies in history, economics, geography, and other related fields. Unlike structured or semi-structured documents, text o…
DIGMAPPER: A Modular System for Automated Geologic Map Digitization
Weiwei Duan, Michael P. Gerlek, Steven N. Minton +8
Historical geologic maps contain rich geospatial information, such as rock units, faults, folds, and bedding planes, that is critical for assessing mineral resources essential to r…
Fine-Scale Soil Mapping in Alaska with Multimodal Machine Learning
Yijun Lin, Theresa Chen, Colby Brungard +6
Fine-scale soil mapping in Alaska, traditionally relying on fieldwork and localized simulations, remains a critical yet underdeveloped task, despite the region's ecological importa…
Hyper-Local Deformable Transformers for Text Spotting on Historical Maps
Yijun Lin, Yao-Yi Chiang
Text on historical maps contains valuable information providing georeferenced historical, political, and cultural contexts. However, text extraction from historical maps is challen…