CVPR 11
- GeoChat Grounded Large Vision-Language Model for Remote Sensing
- S2MAE A Spatial-Spectral Pretraining Foundation Model for Spectral Remote Sensing Data
- Rethinking Transformers Pre-training for Multi-Spectral Satellite Imagery
- GeoLLM-Engine A Realistic Environment for Building Geospatial Copilots
- Bridging Remote Sensors with Multisensor Geospatial Foundation Models
- SkySense A Multi-Modal Remote Sensing Foundation Model Towards Universal Interpretation for Earth Observation Imagery
- Change-Aware Sampling and Contrastive Learning for Satellite Images
- Self-Supervised Material and Texture Representation Learning for Remote Sensing Tasks
- Seasonal ContrastUnsupervised Pre-Training from Uncurated Remote Sensing Data
- Self-Supervised Learning of Remote Sensing Scene Representations Using Contrastive Multiview Coding
- Functional Map of the World