Overview

Multimodal fusion studies how to combine inputs such as images, text, audio, medical scans, sensor streams, and structured records so models can use their complementary information. Common approaches include early or late fusion, cross-attention and contrastive alignment, and adaptive gates or mixtures of experts that weight modalities by task, sample, or estimated reliability. Methods are tested across settings such as BraTS medical segmentation, CMU-MOSI and CMU-MOSEI sentiment analysis, RGB-thermal detection, and clinical prediction, with growing attention to missing, noisy, or misaligned inputs. A central open tension is that additional modalities can help when they add useful evidence, but can also introduce noise or let a dominant modality suppress weaker ones; robust gains and generalization beyond benchmark conditions remain difficult to establish.

Latest papers

CardsList

771 papers73 papers in the last four weeks, down 12% on the four weeks before. 0.4% of all new papers.

  1. VCP-DCN: Beyond Visual Concealed Property via Depth Collaborative Network for Camouflaged Object Detection

    Jul 30, 2026Songsong Duan, Xi Yang, Nannan WangCross-Modal AlignmentMultimodal Fusion

  2. Semantic-Aligned Structural Abstraction for Multimodal Sentiment Analysis

    Jul 30, 2026Wei Chen, Junkai Li, Tongguan Wang +4Multimodal Large Language ModelsMultimodal Classification

  3. DS@GT ARC at MEDIQA-CORE-Task-1 2026: Trimodal Model Fusion with Task-Specific Gates for Brain Tumor Subtype Classification

    Jul 30, 2026Hoang Thanh Thanh Truong, Charles R. ClarkMultimodal ClassificationBrain Tumor Classification

  4. TIER-MoE: Trust-Informed Expert Routing via Conditional Modality Risk for Multimodal Fusion in Biomedical Classification

    Jul 29, 2026Yu Chang, Anzhe Cheng, Chenwei Wu +7Sparse Mixture-of-ExpertsMultimodal Classification

  5. Multimodal fusion of visual and morphometric features for avian bone classification

    Jul 29, 2026Nevio Dubbini, Lisa Yeomans, Marco Pavia +4Multimodal ClassificationMultimodal Fusion

  6. Where Detectors Fail: Closing the Tail-Domain Gap with Expert-Guided Mutual Distillation

    Jul 29, 2026Xuan Feng, Guihong Liu, Tianlong Gu +5Fake News DetectionDomain Generalization

  7. PhysAgent: A Multi-Agent Framework for Reliable Remote Heart Rate Estimation

    Jul 29, 2026Yehui Yang, Bo Zhao, Junzhe Cao +4Remote PhotoplethysmographyHeart Rate Estimation

  8. Registration-Grounded Spectral Fusion for Unregistered WLI/NBI Endoscopic Lesion Segmentation

    Jul 29, 2026Pengyu Jie, Wanquan Liu, Rui He +5Cross-Modality Medical Image SegmentationMulti-Source Image Fusion

  9. DynaBridge: Dynamic Summary-Guided Cross-Task Multimodal Fusion for DASS-Structured Mental Health Assessment

    Jul 28, 2026Shiyu Teng, Haichen Yu, Jiaqing Liu +6Medical DiagnosisDepression Severity Estimation

  10. Less is More: Modality-Decoupling for General AIGC Audio-Video Detection

    Jul 28, 2026Jielun Peng, Yabin Wang, Yaqi Li +3Audio Deepfake DetectionMultimodal Fusion

  11. Balanced Soft mixture-of-expert model for Glaucoma Detection

    Jul 28, 2026Sai Venkatesh Chilukoti, Krishna Rauniyar, Min Shi +1Multimodal ClassificationMixture-of-Experts Models

  12. ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding

    Jul 27, 2026Hangjie Yuan, Yichen Qian, Zhiwei Tang +21Medical Report GenerationMedical VQA

  13. Spatio-Temporal Conditional Denoising Transformer for Modality-Missing RGBT Tracking

    Jul 27, 2026Andong Lu, Ziyi Zha, Jiandong Jin +4Missing-Modality LearningMultimodal Robustness

  14. Mutual Modality Trust with Lightweight Reconstruction Regularization for Fine-grained Tire Pattern Recognition

    Jul 27, 2026Jianning Yang, Jie Fang, Xinda Ma +3Fine-Grained Image ClassificationMultimodal Fusion

  15. Color Fundus Photography Analysis: Co-evolution of Data, Preprocessing, and Modeling toward Multimodal AI

    Jul 27, 2026Yu Li, Wengan He, Wenhui Xu +7Medical Imaging Foundation ModelsMedical Image Analysis

  16. DDVT: Dynamic Dual-level Vision Transformer Fusion Network for Answer Grounding in Visual Question Answering

    Jul 27, 2026Yue Zhang, Xiangyu Li, Wanshu Fan +2Visual Question AnsweringVision Transformer

  17. Do Visual Features Improve Other-Initiated Repair Detection? A Dyadic Multimodal Approach

    Jul 26, 2026Anh Ngo, Nicolas Rollet, Catherine Pelachaud +1Human-AI InteractionMultimodal Classification

  18. ConFusion: Continuous Fusion Space Learning for Fine-Grained Controllable Infrared and Visible Image Fusion

    Jul 26, 2026Guo Yurong, He Yufei, Li Yonghao +3Multi-Source Image FusionInfrared-Visible Image Fusion

  19. Multi-Modal Object Re-Identification with Prompt-S6 and Semantic-Aware Knowledge Guidance

    Jul 26, 2026Weixiang Zhou, Jiabei Zuo, Yuhao Wang +3Cross-Modal AlignmentMultimodal Fusion

  20. Bitcoin Price Direction Prediction via Regime-Aware Multi-Modal Fusion of Social Sentiment and Technical Features

    Jul 25, 2026Muhammad Abdullah HaroonQuantitative FinanceTime Series Classification

  21. Speech Signals Complement LLMs for Predicting Interpersonal Attraction in Speed Dating

    Jul 25, 2026Yuriko Kikuchi, Takato Hayashi, Ryusei Kimura +3Late FusionSpeech Processing

  22. Autoregressive EHR Foundation Models with Multimodal Inputs

    Jul 24, 2026Yuxuan Liu, Joshua Placidi, Jinpei Han +3Clinical Outcome PredictionMultimodal Token Compression

  23. Multimodal Surface EMG Hand Gesture Recognition Using Query-Based Transformers for Prosthetic Control

    Jul 24, 2026Federico Del Pup, Elisa Tentori, Manfredo AtzoriEMG-Based Gesture RecognitionHybrid CNN-Transformer Architectures

  24. Quality-Aware Multimodal Fusion Reveals Implicit Identity in Valence-Arousal Features

    Jul 23, 2026Jisu Kim, Benjamin S. RigganBiometric IdentificationValence-Arousal Modeling

  25. Advancing All-Weather Building Damage Mapping to the Instance Level: Outcomes and Insights from the 2026 Bright Challenge

    Jul 23, 2026Hongruixuan Chen, He Huang, Haifeng Wang +19Disaster Damage AssessmentBuilding Damage Assessment

  26. Adaptive Confidence-weighted Expansion for Trustworthy Multi-Omics Multimodal Fusion

    Jul 22, 2026Mohammad Raahemi, Ali Sekhavati, Alireza Maleki +1Probability CalibrationUncertainty Quantification

  27. Current Injection Spiking Neural Network for Infrared and Visible Image Fusion

    Jul 22, 2026Rui Zhao, Zhuoyuan Li, Wenrui Li +4Efficient Neural Network InferenceMulti-Source Image Fusion

  28. Advancing Multimodal Fusion on Heterogeneous Medical Data with Hybrid Geometry Attention

    Jul 21, 2026Joy Dhar, Manish Kumar Pandey, Nayyar Zaidi +4Cross-Modal Representation LearningCross-Modal Attention