14 citations · 16 across the 12 of their papers we have counts for
12 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…
Spiking Variational Graph Representation Inference for Video Summarization
Wenrui Li, Wei Han, Liang-Jian Deng +2
With the rise of short video content, efficient video summarization techniques for extracting key information have become crucial. However, existing methods struggle to capture the…
Two-Stage Random Alternation Framework for One-Shot Pansharpening
Haorui Chen, Zeyu Ren, Jiaxuan Ren +4
Deep learning has substantially advanced pansharpening, achieving impressive fusion quality. However, a prevalent limitation is that conventional deep learning models, which typica…
CAT: A Conditional Adaptation Tailor for Efficient and Effective Instance-Specific Pansharpening on Real-World Data
Tianyu Xin, Jin-Liang Xiao, Zeyu Xia +2
Pansharpening is a crucial remote sensing technique that fuses low-resolution multispectral (LRMS) images with high-resolution panchromatic (PAN) images to generate high-resolution…
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…