3 citations · 3 across the 6 of their papers we have counts for
6 papers
Towards Robust EEG Decoding Based on Riemannian Self-Attention
Shaocheng Jin, Tao Zhou, Rui Wang +4
Brain-Computer Interface (BCI) based on electroencephalography (EEG) enables direct interaction between the brain and external environments and has significant applications in assi…
Wasserstein-Aligned Hyperbolic Multi-View Clustering
Rui Wang, Yuting Jiang, Xiaoqing Luo +3
Multi-view clustering (MVC) aims to uncover the latent structure of multi-view data by learning view-common and view-specific information. Although recent studies have explored hyp…
Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry
Rui Wang, Shaocheng Jin, Ziheng Chen +2
Covariance matrices have proven highly effective across many scientific fields. Since these matrices lie within the Symmetric Positive Definite (SPD) manifold - a Riemannian space…
Capture Artifacts via Progressive Disentangling and Purifying Blended Identities for Deepfake Detection
Weijie Zhou, Xiaoqing Luo, Zhancheng Zhang +2
The Deepfake technology has raised serious concerns regarding privacy breaches and trust issues. To tackle these challenges, Deepfake detection technology has emerged. Current meth…
Infrared and visible image fusion based on Multi-State Contextual Hidden Markov Model
Xiaoqing Luo, Yuting Jiang, Anqi Wang +2
The traditional two-state hidden Markov model divides the high frequency coefficients only into two states (large and small states). Such scheme is prone to produce an inaccurate s…
A Joint Convolution Auto-encoder Network for Infrared and Visible Image Fusion
Zhancheng Zhang, Yuanhao Gao, Mengyu Xiong +2
Background: Leaning redundant and complementary relationships is a critical step in the human visual system. Inspired by the infrared cognition ability of crotalinae animals, we de…