19 citations · 21 across the 5 of their papers we have counts for
5 papers
Residual Optimal Transport-Based Experts Collaboration Towards Modality-Aware Infrared-Visible Object Detection
Yue Zhao, Hua Yu, Yukun Zhao +6
Infrared-visible object detection (IVOD) integrates complementary evidence from visible and infrared sensors for reliable perception in challenging scenes. In practice, sensors may…
A Spatial-Spectral-Frequency Interactive Network for Multimodal Remote Sensing Classification
Hao Liu, Yunhao Gao, Wei Li +3
Deep learning-based methods have achieved significant success in remote sensing Earth observation data analysis. Numerous feature fusion techniques address multimodal remote sensin…
Balanced Diffusion-Guided Fusion for Multimodal Remote Sensing Classification
Hao Liu, Yongjie Zheng, Yuhan Kang +3
Deep learning-based techniques for the analysis of multimodal remote sensing data have become popular due to their ability to effectively integrate complementary spatial, spectral,…
Enhancing Hyperspectral Images via Diffusion Model and Group-Autoencoder Super-resolution Network
Zhaoyang Wang, Dongyang Li, Mingyang Zhang +2
Existing hyperspectral image (HSI) super-resolution (SR) methods struggle to effectively capture the complex spectral-spatial relationships and low-level details, while diffusion m…
Diffusion Model Based Visual Compensation Guidance and Visual Difference Analysis for No-Reference Image Quality Assessment
Zhaoyang Wang, Bo Hu, Mingyang Zhang +4
Existing free-energy guided No-Reference Image Quality Assessment (NR-IQA) methods still suffer from finding a balance between learning feature information at the pixel level of th…