arXiv Computer Vision
Deep Models, Shallow Alignment: Uncovering the Granularity Mismatch in Neural Decoding
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Versatile Framework with Semantic and Structural guidance for Image Reconstruction from Brain Activity
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ProCA: Progressive Contrastive Alignment for Robust EEG Visual Decoding
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Task-guided cross-subject latent alignment: a multi-encoder-decoder VAE
arXiv:2606. 15989v1 Announce Type: cross Abstract: Aligning neural activity across subjects offers the promise of discovering shared computational principles and generalizable decoders.
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SEED: Towards More Accurate Semantic Evaluation for Visual Brain Decoding
arXiv:2503. 06437v3 Announce Type: replace-cross Abstract: We present SEED (Semantic Evaluation for Visual Brain Decoding), a novel metric for evaluating the semantic decoding performance of visual brain decoding models.
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STEAM:ASpatio-TEmporal Alignment Mixture-of-Experts Model with Hierarchical Pre-training for EEG Decoding
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Decoupling Semantics from Distortions: Multi-Scale Two-Stream Vision-Language Alignment for AI-Generated Image Quality Assessment
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