19 citations · 22 across the 7 of their papers we have counts for
7 papers
Electrically-injected room-temperature waveguide polariton laser
Hassen Souissi, Valentin Develay, Maksym Gromovyi +14
Exciton-polariton lasers are coherent light sources which do not require the population inversion (transparency) condition to be fulfilled. They have been conceptualized at the end…
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…
Bayesian Layer Graph Convolutioanl Network for Hyperspetral Image Classification
Mingyang Zhang, Ziqi Di, Maoguo Gong +3
In recent years, research on hyperspectral image (HSI) classification has continuous progress on introducing deep network models, and recently the graph convolutional network (GCN)…
Towards Consistency and Complementarity: A Multiview Graph Information Bottleneck Approach
Xiaolong Fan, Maoguo Gong, Yue Wu +3
The empirical studies of Graph Neural Networks (GNNs) broadly take the original node feature and adjacency relationship as singleview input, ignoring the rich information of multip…