5 papers
FSDBN: Foreground-Aware EEG-Visual Alignment via Dynamic Brain Networks
Yiheng Liu, Chuhang Zheng, Peiliang Gong +3
EEG-based visual decoding provides a non-invasive pathway for interpreting visual semantics. However, existing methods often overlook the perceptual asymmetry between foreground an…
Neural Visual Decoding via Cognitive guided Adaptive Blurring and Information Constrained Alignment
Fan Yin, Chuhang Zheng, Peiliang Gong +2
EEG-based visual decoding aims to establish a mapping between neural signals and visual semantics. However, it remains constrained by the dual challenges of severe information gran…
Multi-Level Bidirectional Biomimetic Learning for EEG-Based Visual Decoding
Jingtao Liu, Peiliang Gong, Chuhang Zheng +2
EEG-based visual neural decoding aims to align neural responses with visual stimuli for tasks such as image retrieval. However, limited paired data and a fundamental mismatch betwe…
ViEEG: Hierarchical Visual Neural Representation for EEG Brain Decoding
Minxu Liu, Donghai Guan, Chuhang Zheng +3
Understanding and decoding brain activity into visual representations is a fundamental challenge at the intersection of neuroscience and artificial intelligence. While EEG visual d…
HeLo: Heterogeneous Multi-Modal Fusion with Label Correlation for Emotion Distribution Learning
Chuhang Zheng, Chunwei Tian, Jie Wen +2
Multi-modal emotion recognition has garnered increasing attention as it plays a significant role in human-computer interaction (HCI) in recent years. Since different discrete emoti…