3 papers
cs.CV2026
Making Every Step Count: Spatio-Temporal Information Allocation for Imaging Inverse Problems
Yi Cao, Xiangyong Cao, Pei Liu +2
Flow-based generative models have emerged as powerful image priors for training-free inverse problem solving, capturing coherent semantics and fine-grained structure. Despite these…
cs.CV2025
SPECIAL: Zero-shot Hyperspectral Image Classification With CLIP
Li Pang, Jing Yao, Kaiyu Li +3
Hyperspectral image (HSI) classification aims to categorize each pixel in an HSI into a specific land cover class, which is crucial for applications such as remote sensing, environ…
eess.IV2024
Haar Nuclear Norms with Applications to Remote Sensing Imagery Restoration
Shuang Xu, Chang Yu, Jiangjun Peng +2
Remote sensing image restoration aims to reconstruct missing or corrupted areas within images. To date, low-rank based models have garnered significant interest in this field. This…