16 citations · 16 across the 5 of their papers we have counts for
5 papers
DiCycleSB: Towards High-Quality Unsupervised Nighttime Visibility Enhancement via Schrödinger Bridge Transformer
Hanting Li, Xin Sun, Wei Ye +2
Light-effect contamination poses a significant challenge to nighttime visibility enhancement. Most methods suppress light effects by estimating and decomposing them through prior-d…
HarmoniDiff-RS: Training-Free Diffusion Harmonization for Satellite Image Composition
Xiaoqi Zhuang, Jefersson A. Dos Santos, Jungong Han
Satellite image composition plays a critical role in remote sensing applications such as data augmentation, disaste simulation, and urban planning. We propose HarmoniDiff-RS, a tra…
SAIGFormer: A Spatially-Adaptive Illumination-Guided Network for Low-Light Image Enhancement
Hanting Li, Fei Zhou, Xin Sun +3
Recent Transformer-based low-light enhancement methods have made promising progress in recovering global illumination. However, they still struggle with non-uniform lighting scenar…
Rethinking the Upsampling Layer in Hyperspectral Image Super Resolution
Haohan Shi, Fei Zhou, Xin Sun +1
Deep learning has achieved significant success in single hyperspectral image super-resolution (SHSR); however, the high spectral dimensionality leads to a heavy computational burde…
Semi-supervised Semantic Segmentation for Remote Sensing Images via Multi-scale Uncertainty Consistency and Cross-Teacher-Student Attention
Shanwen Wang, Xin Sun, Changrui Chen +2
Semi-supervised learning offers an appealing solution for remote sensing (RS) image segmentation to relieve the burden of labor-intensive pixel-level labeling. However, RS images p…