Extracting Cadastral Boundaries from UAV Images Using Fully Convolutional Networks. - Xue Xia 001; Mila Koeva; Claudio Persello (IGARSS, 2019)

Deep Fully Convolutional Networks for Cadastral Boundary Detection from UAV Images. - Xue Xia 001; Claudio Persello; Mila Koeva (Remote. Sens., 2019)

Contrastive Pretraining for Railway Detection: Unveiling Historical Maps with Transformers. - Xue Xia 001; Chenjing Jiao; Lorenz Hurni (GeoAI@SIGSPATIAL, 2023)

Video Instance Segmentation is All You Need for Linking Geographic Entities from Historical Maps. - Xue Xia 001; Tao Zhang; Lorenz Hurni (IGARSS, 2024)

Vectorizing historical maps with topological consistency: A hybrid approach using transformers and contour-based instance segmentation. - Xue Xia 001; Tao Zhang; Magnus Heitzler; Lorenz Hurni (Int. J. Appl. Earth Obs. Geoinformation, 2024)

Probabilistic road classification in historical maps using synthetic data and deep learning. - Dominik J. Mühlematter; Sebastian Schweizer; Chenjing Jiao; Xue Xia 001; Magnus Heitzler; Lorenz Hurni (CoRR, 2024)

MapSAM: Adapting Segment Anything Model for Automated Feature Detection in Historical Maps. - Xue Xia 001; Daiwei Zhang; Wenxuan Song; Wei Huang; Lorenz Hurni (CoRR, 2024)

Self-supervised Video Instance Segmentation Can Boost Geographic Entity Alignment in Historical Maps. - Xue Xia 001; Randall Balestriero; Tao Zhang; Lorenz Hurni (CoRR, 2024)