2 citations · 2 across the 5 of their papers we have counts for
5 papers
CoFusion: Multispectral and Hyperspectral Image Fusion via Spectral Coordinate Attention
Baisong Li
Multispectral and Hyperspectral Image Fusion (MHIF) aims to reconstruct high-resolution images by integrating low-resolution hyperspectral images (LRHSI) and high-resolution multis…
PIF-Net: Ill-Posed Prior Guided Multispectral and Hyperspectral Image Fusion via Invertible Mamba and Fusion-Aware LoRA
Baisong Li, Xingwang Wang, Haixiao Xu
The goal of multispectral and hyperspectral image fusion (MHIF) is to generate high-quality images that simultaneously possess rich spectral information and fine spatial details. H…
HSRMamba: Efficient Wavelet Stripe State Space Model for Hyperspectral Image Super-Resolution
Baisong Li, Xingwang Wang, Haixiao Xu
Single hyperspectral image super-resolution (SHSR) aims to restore high-resolution images from low-resolution hyperspectral images. Recently, the Visual Mamba model has achieved an…
HSR-KAN: Efficient Hyperspectral Image Super-Resolution via Kolmogorov-Arnold Networks
Baisong Li, Xingwang Wang, Haixiao Xu
Hyperspectral images (HSIs) have great potential in various visual tasks due to their rich spectral information. However, obtaining high-resolution hyperspectral images remains cha…
AWEQ: Post-Training Quantization with Activation-Weight Equalization for Large Language Models
Baisong Li, Xingwang Wang, Haixiao Xu
Large language models(LLMs) exhibit excellent performance across a variety of tasks, but they come with significant computational and storage costs. Quantizing these models is an e…