3 citations · 5 across the 5 of their papers we have counts for
6 papers
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…
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…
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…
Quantum-Inspired Analysis of Neural Network Vulnerabilities: The Role of Conjugate Variables in System Attacks
Jun-Jie Zhang, Deyu Meng
Neural networks demonstrate inherent vulnerability to small, non-random perturbations, emerging as adversarial attacks. Such attacks, born from the gradient of the loss function re…
A New Learning Paradigm for Foundation Model-based Remote Sensing Change Detection
Kaiyu Li, Xiangyong Cao, Deyu Meng
Change detection (CD) is a critical task to observe and analyze dynamic processes of land cover. Although numerous deep learning-based CD models have performed excellently, their f…
Cross-Consistent Deep Unfolding Network for Adaptive All-In-One Video Restoration
Yuanshuo Cheng, Mingwen Shao, Yecong Wan +3
Existing Video Restoration (VR) methods always necessitate the individual deployment of models for each adverse weather to remove diverse adverse weather degradations, lacking the…