1 citations · 1 across the 5 of their papers we have counts for
5 papers
USP-Mamba: Unmixing-Derived Spectral and Structural Prompting for Hyperspectral Image Super-Resolution
Shi Chen, Jie Zhang, Yicong Zhou
Hyperspectral image super-resolution aims to reconstruct high-resolution imagery while preserving dense spectral information. Recently, Mamba-based models have shown promising pote…
Voronoi-guided Bilateral 2D Gaussian Splatting for Arbitrary-Scale Hyperspectral Image Super-Resolution
Jie Zhang, Jinkun You, Shi Chen +2
Most existing hyperspectral image super-resolution methods require modifications for different scales, limiting their flexibility in arbitrary-scale reconstruction. 2D Gaussian spl…
Towards Generalized Multimodal Homography Estimation
Jinkun You, Jiaxin Cheng, Jie Zhang +1
Supervised and unsupervised homography estimation methods depend on image pairs tailored to specific modalities to achieve high accuracy. However, their performance deteriorates su…
Dense Cross-Scale Image Alignment With Fully Spatial Correlation and Just Noticeable Difference Guidance
Jinkun You, Jiaxue Li, Jie Zhang +1
Existing unsupervised image alignment methods exhibit limited accuracy and high computational complexity. To address these challenges, we propose a dense cross-scale image alignmen…
Multiview Transformer: Rethinking Spatial Information in Hyperspectral Image Classification
Jie Zhang, Yongshan Zhang, Yicong Zhou
Identifying the land cover category for each pixel in a hyperspectral image (HSI) relies on spectral and spatial information. An HSI cuboid with a specific patch size is utilized t…