:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Xia, Tian, Ma, Zihan, Wang, Xinlong, Liu, Qing, He, Xiaowei, Liu, Tianming, Ren, Yudan
Format:	Preprint
Published:	2025
Subjects:	Computer Vision and Pattern Recognition
Online Access:	https://arxiv.org/abs/2510.19332
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

FPED: A Functional-Network Prior-Guided Mixture-of-Experts Framework for Interpretable Brain Decoding
by: Ren, Yudan, et al.
Published: (2026)

Uncovering Brain-Like Hierarchical Patterns in Vision-Language Models through fMRI-Based Neural Encoding
by: Ren, Yudan, et al.
Published: (2025)

HyNeuralMap: Hyperbolic Mapping of Visual Semantics to Neural Hierarchies
by: Ma, Zihan, et al.
Published: (2026)

LayerFusion: Harmonized Multi-Layer Text-to-Image Generation with Generative Priors
by: Dalva, Yusuf, et al.
Published: (2024)

BrainGuard: Privacy-Preserving Multisubject Image Reconstructions from Brain Activities
by: Tian, Zhibo, et al.
Published: (2025)

Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation
by: Liu, Hong, et al.
Published: (2026)

Bridging Brain Connectomes and Clinical Reports for Early Alzheimer's Disease Diagnosis
by: Zhang, Jing, et al.
Published: (2025)

Brain Decodes Deep Nets
by: Yang, Huzheng, et al.
Published: (2023)

Image-to-Brain Signal Generation for Visual Prosthesis with CLIP Guided Multimodal Diffusion Models
by: Xu, Ganxi, et al.
Published: (2025)

Achieving Fine-grained Cross-modal Understanding through Brain-inspired Hierarchical Representation Learning
by: You, Weihang, et al.
Published: (2026)

Neural Functional Alignment Space: Brain-Referenced Representation of Artificial Neural Networks
by: Yan, Ruiyu, et al.
Published: (2026)

UMBRAE: Unified Multimodal Brain Decoding
by: Xia, Weihao, et al.
Published: (2024)

UniBrain: A Unified Model for Cross-Subject Brain Decoding
by: Wang, Zicheng, et al.
Published: (2024)

Brain-ID: Learning Contrast-agnostic Anatomical Representations for Brain Imaging
by: Liu, Peirong, et al.
Published: (2023)

Fusion from Decomposition: A Self-Supervised Approach for Image Fusion and Beyond
by: Liang, Pengwei, et al.
Published: (2024)

Diffusion Feedback Helps CLIP See Better
by: Wang, Wenxuan, et al.
Published: (2024)

Multigranular Evaluation for Brain Visual Decoding
by: Xia, Weihao, et al.
Published: (2025)

CLIP-MUSED: CLIP-Guided Multi-Subject Visual Neural Information Semantic Decoding
by: Zhou, Qiongyi, et al.
Published: (2024)

Psychometry: An Omnifit Model for Image Reconstruction from Human Brain Activity
by: Quan, Ruijie, et al.
Published: (2024)

Wills Aligner: Multi-Subject Collaborative Brain Visual Decoding
by: Bao, Guangyin, et al.
Published: (2024)

The CLIP Model is Secretly an Image-to-Prompt Converter
by: Ding, Yuxuan, et al.
Published: (2023)

CLIP-BEVFormer: Enhancing Multi-View Image-Based BEV Detector with Ground Truth Flow
by: Pan, Chenbin, et al.
Published: (2024)

Multi-Atlas Brain Network Classification through Consistency Distillation and Complementary Information Fusion
by: Xu, Jiaxing, et al.
Published: (2024)

MindBridge: A Cross-Subject Brain Decoding Framework
by: Wang, Shizun, et al.
Published: (2024)

DeCLIP: Decoupled Prompting for CLIP-based Multi-Label Class-Incremental Learning
by: Du, Kaile, et al.
Published: (2025)

Brain-Adapter: Enhancing Neurological Disorder Analysis with Adapter-Tuning Multimodal Large Language Models
by: Zhang, Jing, et al.
Published: (2025)

Brain Inspired Adaptive Memory Dual-Net for Few-Shot Image Classification
by: Di, Kexin, et al.
Published: (2025)

BrainPrompt: Multi-Level Brain Prompt Enhancement for Neurological Condition Identification
by: Xu, Jiaxing, et al.
Published: (2025)

ViEEG: Hierarchical Visual Neural Representation for EEG Brain Decoding
by: Liu, Minxu, et al.
Published: (2025)

EVA-CLIP-18B: Scaling CLIP to 18 Billion Parameters
by: Sun, Quan, et al.
Published: (2024)

Uni-Encoder Meets Multi-Encoders: Representation Before Fusion for Brain Tumor Segmentation with Missing Modalities
by: Song, Peibo, et al.
Published: (2026)

Frequency-Aware Ensemble Learning for BraTS 2025 Pediatric Brain Tumor Segmentation
by: Yi, Yuxiao, et al.
Published: (2025)

A Survey on fMRI-based Brain Decoding for Reconstructing Multimodal Stimuli
by: Liu, Pengyu, et al.
Published: (2025)

Human-Aligned Image Models Improve Visual Decoding from the Brain
by: Rajabi, Nona, et al.
Published: (2025)

BrainSegDMlF: A Dynamic Fusion-enhanced SAM for Brain Lesion Segmentation
by: Wang, Hongming, et al.
Published: (2025)

CDUL: CLIP-Driven Unsupervised Learning for Multi-Label Image Classification
by: Abdelfattah, Rabab, et al.
Published: (2023)

Brain Foundation Models with Hypergraph Dynamic Adapter for Brain Disease Analysis
by: Deng, Zhongying, et al.
Published: (2025)

A Modality-agnostic Multi-task Foundation Model for Human Brain Imaging
by: Liu, Peirong, et al.
Published: (2025)

$\textrm{A}^{\textrm{2}}$RNet: Adversarial Attack Resilient Network for Robust Infrared and Visible Image Fusion
by: Li, Jiawei, et al.
Published: (2024)

CineBrain: A Large-Scale Multi-Modal Brain Dataset During Naturalistic Audiovisual Narrative Processing
by: Gao, Jianxiong, et al.
Published: (2025)