2 citations · 4 across the 8 of their papers we have counts for
8 papers
LESSViT: Robust Hyperspectral Representation Learning under Spectral Configuration Shift
Haozhe Si, Yuxuan Wan, Yuqing Wang +3
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…
Moment Alignment: Unifying Gradient and Hessian Matching for Domain Generalization
Yuen Chen, Haozhe Si, Guojun Zhang +1
Domain generalization (DG) seeks to develop models that generalize well to unseen target domains, addressing the prevalent issue of distribution shifts in real-world applications.…
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…
Invariant-Feature Subspace Recovery: A New Class of Provable Domain Generalization Algorithms
Haoxiang Wang, Gargi Balasubramaniam, Haozhe Si +2
Domain generalization asks for models trained over a set of training environments to generalize well in unseen test environments. Recently, a series of algorithms such as Invariant…
Fully Self-Supervised Depth Estimation from Defocus Clue
Haozhe Si, Bin Zhao, Dong Wang +4
Depth-from-defocus (DFD), modeling the relationship between depth and defocus pattern in images, has demonstrated promising performance in depth estimation. Recently, several self-…
Provable Domain Generalization via Invariant-Feature Subspace Recovery
Haoxiang Wang, Haozhe Si, Bo Li +1
Domain generalization asks for models trained over a set of training environments to perform well in unseen test environments. Recently, a series of algorithms such as Invariant Ri…