Journal & Article

Theory & Methods

I/F
# Journal I/F

Information Fusion

PairHuman: A high-fidelity photographic dataset for customized dual-person generation Multi-view anchor subspace clustering via consensus-specific reconstruction GatedFusion-Net: Per-pixel modality weighting in a five-cue transformer for RGB-D-I-T-UV fusion Interval-valued matrix factorization and knowledge-guided clustering for trust-aware cross-domain recommendation systems PIFGSR: Pluggable framework for information fusion using generative artificial intelligence (GenAI) in recommender systems Adaptive probabilistic information fusion under concept drift: a generalized bayesian framework Enhancing structural condition assessment in steel pipelines via a WGAN-AAE data fusion methodology Robust multimodal sentiment analysis via double information bottleneck Anchor graph-guided dual-target alignment network for incomplete multi-view clustering Aggregate twice more efficiently: Dual feature aggregation transformer for medical image segmentation Context-aware and multi-view enhanced model for entity alignment Utilizing hierarchical efficacy regions of the human brain for treatment prediction through information fusion MPCL: Multimodal prompt learning for continual relation extraction with type-aware inter-modality alignment Bridging RGB-T image fusion and semantic segmentation via multi-task collaborative learning Consistency analysis of complex fuzzy preferences for two-stage group decision-making with risk perception of prospect theory Matrix mixer analysis for time series classification: Attention on tokenization GLUE3D: General language understanding evaluation for 3D point clouds The duality of generative AI and reinforcement learning in robotics: A review Fast fourier transform gated activation function (FFTGate) Rethinking domain-agnostic continual learning via frequency completeness learning Heterogeneous environment-aware multimodal recommendation with modality alignment MSSDF: Modality-shared self-supervised distillation for high-resolution multi-modal remote sensing image learning Federated learning based water streamflow forecasting via multi-sensor data fusion One model connects all graphs: Towards training one unified model for multi-domain graph pre-training using adaptive vector quantization DivineTree: All-in-one 3D tree modeling with diverse and fused visual guidance Exploring structured uncertainty for external prior-guided hyperspectral image fusion Self-attention and cross-modal attention for audio-visual zero-shot learning LGINet: Linguistic guided image diffusion model for tree species generation and identification from aerial imagery ConfShield: A dual-stage fusion framework for robust and privacy-enhancing federated learning in cloud environments ComCon: Complementary-contradictory regularization for multimodal knowledge graph completion PCF-LLM: scaling LLMs for multimodal understanding of structured scientific data in photonic crystal fiber sensors PreciseVideo: a dual-process framework for zero-shot text-to-video generation with quantitative content control GDCF-Net: A generative-discriminative contrastive fusion network for multi-class fault diagnosis of power transformer GEPFNet: A group equivariant feature extraction with parallel fusion neural network for solar photovoltaic fault classification Multimodal language models in agriculture: A tutorial and survey AMGNet: Adaptive multi-granularity decoupling network for multimodal sarcasm detection Multi-modal collaborative learning with vision foundation model prompt boosts 3D semi-supervised semantic segmentation PMFM-kdTransformer: An enhanced multi-modal fusion architecture leveraging knowledge distillation for intra-hour solar irradiance prediction MSIF-Convformer: a novel end-to-end fault diagnosis framework with multi-source sensors under strong noise Zonotopic set-membership state estimation for linear repetitive processes with multirate measurements under encoding-decoding mechanisms Robust fusion filtering for 2-D multi-sensor systems with measurement censoring and redundant channels A real-time surface defect detection model based on adaptive feature information selection and fusion MMME: A spontaneous multi-modal micro-expression dataset enabling visual-physiological fusion SaSAM: Scale-aware segmentation anything model for multimodal remote sensing images A review of fake news detection based on transfer learning D-RGCN: Software defect prediction based on dual directed dependency graph reconstruction Mitigating class imbalance in forest fire prediction with GAN-Augmented data fusion Diverse semantic representation learning based on vision-language models for zero-shot indoor scene recognition Bridging the gap between computer vision and bioelectrical signal analysis Refinement-Guided Critique Learning: A Framework for Training Critique Models