3 papers
eess.IV2024
WaveDiffUR: A diffusion SDE-based solver for ultra magnification super-resolution in remote sensing images
Yue Shi, Liangxiu Han, Darren Dancy +1
Deep neural networks have recently achieved significant advancements in remote sensing superresolu-tion (SR). However, most existing methods are limited to low magnification rates…
cs.CV2024
A Novel Spike Transformer Network for Depth Estimation from Event Cameras via Cross-modality Knowledge Distillation
Xin Zhang, Liangxiu Han, Tam Sobeih +2
Depth estimation is a critical task in computer vision, with applications in autonomous navigation, robotics, and augmented reality. Event cameras, which encode temporal changes in…
cs.CV2020
A Biologically Interpretable Two-stage Deep Neural Network (BIT-DNN) For Vegetation Recognition From Hyperspectral Imagery
Yue Shi, Liangxiu Han, Wenjiang Huang +4
Spectral-spatial based deep learning models have recently proven to be effective in hyperspectral image (HSI) classification for various earth monitoring applications such as land…