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…
PolarNet: Single-Minima Neural Network for Modeling Lyapunov Functions
Yuan Zhong, Jiaxin Cheng, Hefu Ye +1
Learning control strategies with provable stability guarantees continues to be a challenging problem. In this work, we examine a family of training-time behaviors exhibited by exis…
Voronoi-guided Bilateral 2D Gaussian Splatting for Arbitrary-Scale Hyperspectral Image Super-Resolution
Jie Zhang, Jinkun You, Shi Chen +1
Most existing hyperspectral image super-resolution methods require modifications for different scales, limiting their flexibility in arbitrary-scale reconstruction. 2D Gaussian spl…
MEMO: Human-like Crisp Edge Detection Using Masked Edge Prediction
Jiaxin Cheng, Yue Wu, Yicong Zhou
Learning-based edge detection models trained with cross-entropy loss often suffer from thick edge predictions, which deviate from the crisp, single-pixel annotations typically prov…
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…