3 papers
cs.CV2026
MindCine: Multimodal EEG-to-Video Reconstruction with Large-Scale Pretrained Models
Tian-Yi Zhou, Xuan-Hao Liu, Bao-Liang Lu +1
Reconstructing human dynamic visual perception from electroencephalography (EEG) signals is of great research significance since EEG's non-invasiveness and high temporal resolution…
cs.MM2025
MindCross: Fast New Subject Adaptation with Limited Data for Cross-subject Video Reconstruction from Brain Signals
Xuan-Hao Liu, Yan-Kai Liu, Tianyi Zhou +2
Reconstructing video from brain signals is an important brain decoding task. Existing brain decoding frameworks are primarily built on a subject-dependent paradigm, which requires…
eess.SP2025
mixEEG: Enhancing EEG Federated Learning for Cross-subject EEG Classification with Tailored mixup
Xuan-Hao Liu, Bao-Liang Lu, Wei-Long Zheng
The cross-subject electroencephalography (EEG) classification exhibits great challenges due to the diversity of cognitive processes and physiological structures between different s…