On the promises and challenges of multimodal foundation models for geographical, environmental, agricultural, and urban planning applications C Tan, Q Cao, Y Li, J Zhang, X Yang, H Zhao, Z Wu, Z Liu, H Yang, N Wu, ... arXiv preprint arXiv:2312.17016, 2023 | 19 | 2023 |
Torchspatial: A location encoding framework and benchmark for spatial representation learning N Wu, Q Cao, Z Wang, Z Liu, Y Qi, J Zhang, J Ni, X Yao, H Ma, L Mu, ... arXiv preprint arXiv:2406.15658, 2024 | 9 | 2024 |
TorchSpatial: A Python Package for Spatial Representation Learning and Geo-Aware Model Development Q Cao, N Wu, Z Wang, Z Liu, Y Qi, J Zhang, J Ni, X Yao, H Ma, L Mu, ... Proceedings of the 3rd ACM SIGSPATIAL International Workshop on Spatial Big …, 2024 | | 2024 |