2 citations · 2 across the 6 of their papers we have counts for
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LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift
Haozhe Si, Yuxuan Wan, Yuqing Wang +2
Modeling hyperspectral imagery (HSI) across different sensors presents a fundamental challenge due to variations in wavelength coverage, band sampling, and channel dimensionality.…
ChronoEarth-492K: A Large Scale and Long Horizon Spatiotemporal Hyperspectral Earth Observation Dataset and Benchmark
Haozhe Si, Yuxuan Wan, Yuqing Wang +2
Hyperspectral imaging (HSI) provides dense spectral information for the Earth's surface, enabling material-level understanding of land cover and ecosystem dynamics. Despite recent…
Towards Scalable Foundation Model for Multi-modal and Hyperspectral Geospatial Data
Haozhe Si, Yuxuan Wan, Minh Do +3
Geospatial raster data, such as that collected by satellite-based imaging systems at different times and spectral bands, hold immense potential for enabling a wide range of high-im…
Enhancing Compositional Generalization via Compositional Feature Alignment
Haoxiang Wang, Haozhe Si, Huajie Shao +1
Real-world applications of machine learning models often confront data distribution shifts, wherein discrepancies exist between the training and test data distributions. In the com…