Picture for Gan Huang

Gan Huang

NSSI-Net: Multi-Concept Generative Adversarial Network for Non-Suicidal Self-Injury Detection Using High-Dimensional EEG Signals in a Semi-Supervised Learning Framework

Add code
Oct 16, 2024
Viaarxiv icon

DuA: Dual Attentive Transformer in Long-Term Continuous EEG Emotion Analysis

Add code
Jul 30, 2024
Viaarxiv icon

NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding

Add code
Jul 30, 2024
Figure 1 for NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding
Figure 2 for NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding
Figure 3 for NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding
Figure 4 for NIS-SLAM: Neural Implicit Semantic RGB-D SLAM for 3D Consistent Scene Understanding
Viaarxiv icon

Vox-Fusion++: Voxel-based Neural Implicit Dense Tracking and Mapping with Multi-maps

Add code
Mar 19, 2024
Viaarxiv icon

RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments

Add code
Oct 23, 2023
Figure 1 for RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments
Figure 2 for RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments
Figure 3 for RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments
Figure 4 for RD-VIO: Robust Visual-Inertial Odometry for Mobile Augmented Reality in Dynamic Environments
Viaarxiv icon

Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition

Add code
Aug 13, 2023
Figure 1 for Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Figure 2 for Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Figure 3 for Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Figure 4 for Semi-Supervised Dual-Stream Self-Attentive Adversarial Graph Contrastive Learning for Cross-Subject EEG-based Emotion Recognition
Viaarxiv icon

EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition

Add code
Mar 27, 2023
Figure 1 for EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Figure 2 for EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Figure 3 for EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Figure 4 for EEGMatch: Learning with Incomplete Labels for Semi-Supervised EEG-based Cross-Subject Emotion Recognition
Viaarxiv icon

EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition

Add code
Feb 07, 2021
Figure 1 for EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
Figure 2 for EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
Figure 3 for EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
Figure 4 for EEGFuseNet: Hybrid Unsupervised Deep Feature Characterization and Fusion for High-Dimensional EEG with An Application to Emotion Recognition
Viaarxiv icon