10 papers
Fast Kernel-Space Diffusion for Remote Sensing Pansharpening
Hancong Jin, Zihan Cao, Liang-jian Deng +1
Pansharpening seeks to fuse high-resolution panchromatic (PAN) and low-resolution multispectral (LRMS) images into a single image with both fine spatial and rich spectral detail. D…
SelfAI: A self-directed framework for long-horizon scientific discovery
Xiao Wu, Ting-Zhu Huang, Liang-Jian Deng +9
Scientific discovery increasingly entails long-horizon exploration of complex hypothesis spaces, yet most existing approaches emphasize final performance while offering limited ins…
Hyperspectral Image Fusion with Spectral-Band and Fusion-Scale Agnosticism
Yu-Jie Liang, Zihan Cao, Liang-Jian Deng +2
Current deep learning models for Multispectral and Hyperspectral Image Fusion (MS/HS fusion) are typically designed for fixed spectral bands and spatial scales, which limits their…
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…
Taming Flow Matching with Unbalanced Optimal Transport into Fast Pansharpening
Zihan Cao, Yu Zhong, Liang-Jian Deng
Pansharpening, a pivotal task in remote sensing for fusing high-resolution panchromatic and multispectral imagery, has garnered significant research interest. Recent advancements e…
MMAIF: Multi-task and Multi-degradation All-in-One for Image Fusion with Language Guidance
Zihan Cao, Yu Zhong, Ziqi Wang +1
Image fusion, a fundamental low-level vision task, aims to integrate multiple image sequences into a single output while preserving as much information as possible from the input.…