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cs.CV2026
CodeBind: Decoupled Representation Learning for Multimodal Alignment with Unified Compositional Codebook
Zeyu Chen, Jie Li, Kai Han
Multimodal representation alignment is pivotal for large language models and robotics. Traditional methods are often hindered by cross-modal information discrepancies and data scar…
cs.CV2025
DynaMind: Reconstructing Dynamic Visual Scenes from EEG by Aligning Temporal Dynamics and Multimodal Semantics to Guided Diffusion
Junxiang Liu, Junming Lin, Jiangtong Li +1
Reconstruction dynamic visual scenes from electroencephalography (EEG) signals remains a primary challenge in brain decoding, limited by the low spatial resolution of EEG, a tempor…