42 citations · 62 across the 11 of their papers we have counts for
11 papers
A Knowledge-driven Adaptive Collaboration of LLMs for Enhancing Medical Decision-making
Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng +3
Medical decision-making often involves integrating knowledge from multiple clinical specialties, typically achieved through multidisciplinary teams. Inspired by this collaborative…
Exploring the Low-Pass Filtering Behavior in Image Super-Resolution
Haoyu Deng, Zijing Xu, Yule Duan +3
Deep neural networks for image super-resolution (ISR) have shown significant advantages over traditional approaches like the interpolation. However, they are often criticized as 'b…
Fourier-enhanced Implicit Neural Fusion Network for Multispectral and Hyperspectral Image Fusion
Yu-Jie Liang, Zihan Cao, Liang-Jian Deng +1
Recently, implicit neural representations (INR) have made significant strides in various vision-related domains, providing a novel solution for Multispectral and Hyperspectral Imag…
SSDiff: Spatial-spectral Integrated Diffusion Model for Remote Sensing Pansharpening
Yu Zhong, Xiao Wu, Liang-Jian Deng +1
Pansharpening is a significant image fusion technique that merges the spatial content and spectral characteristics of remote sensing images to generate high-resolution multispectra…
Neural Shrödinger Bridge Matching for Pansharpening
Zihan Cao, Xiao Wu, Liang-Jian Deng
Recent diffusion probabilistic models (DPM) in the field of pansharpening have been gradually gaining attention and have achieved state-of-the-art (SOTA) performance. In this paper…
Content-Adaptive Non-Local Convolution for Remote Sensing Pansharpening
Yule Duan, Xiao Wu, Haoyu Deng +1
Currently, machine learning-based methods for remote sensing pansharpening have progressed rapidly. However, existing pansharpening methods often do not fully exploit differentiati…
A Novel State Space Model with Local Enhancement and State Sharing for Image Fusion
Zihan Cao, Xiao Wu, Liang-Jian Deng +1
In image fusion tasks, images from different sources possess distinct characteristics. This has driven the development of numerous methods to explore better ways of fusing them whi…
CMT: Cross Modulation Transformer with Hybrid Loss for Pansharpening
Wen-Jie Shu, Hong-Xia Dou, Rui Wen +2
Pansharpening aims to enhance remote sensing image (RSI) quality by merging high-resolution panchromatic (PAN) with multispectral (MS) images. However, prior techniques struggled t…
DDRF: Denoising Diffusion Model for Remote Sensing Image Fusion
ZiHan Cao, ShiQi Cao, Xiao Wu +3
Denosing diffusion model, as a generative model, has received a lot of attention in the field of image generation recently, thanks to its powerful generation capability. However, d…
U2Net: A General Framework with Spatial-Spectral-Integrated Double U-Net for Image Fusion
Siran Peng, Chenhao Guo, Xiao Wu +1
In image fusion tasks, images obtained from different sources exhibit distinct properties. Consequently, treating them uniformly with a single-branch network can lead to inadequate…
SIT: A Bionic and Non-Linear Neuron for Spiking Neural Network
Cheng Jin, Rui-Jie Zhu, Xiao Wu +1
Spiking Neural Networks (SNNs) have piqued researchers' interest because of their capacity to process temporal information and low power consumption. However, current state-of-the-…