2 citations · 2 across the 9 of their papers we have counts for
12 papers
ReTailor: A Residual Feature Tailoring Framework for Real-Time Cross-Sensor Pansharpening Adaptation
Jing-Ze Liang, Wei-Jie Xiao, Zi-Han Cao +3
Recent pansharpening models achieve strong fusion performance on trained sensors, yet often generalize poorly to unseen sensors. Existing cross-sensor adaptation is limited by targ…
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…
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…
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…
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…
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.…
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…
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…