MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding 事件

MindAlign: Bridging EEG, Vision, and Language for Zero-Shot Visual Decoding arXiv:2605.24523v1 Announce Type: cross Abstract: Visual decoding from brain signals is a key challenge at the intersection of computer vision and neuroscience, requiring methods that bridge neural representations and computational models of vision. We introduce a tri-modal contrastive framework for EEG-based visual decoding that aligns EEG, visual, and textual representations within a unified latent space. Our approach