Key papers

• Fs-diff: Semantic Guidance And Clarity-aware Simultaneous Multimodal Image Fusion And Super-resolution (2025)
  Yuchan Jie, Yushen Xu, Xiaosong Li, et al.
  8.95
• Task-generalized Adaptive Cross-domain Learning For Multimodal Image Fusion (2025)
  Mengyu Wang, Zhenyu Liu, Kun Li, et al.
  6.47
• Multimodal Fusion SLAM With Fourier Attention (2025)
  Youjie Zhou, Guofeng Mei, Yiming Wang, et al.
  5.22
• Multi-Modal Semantic Segmentation of Electrolyzer Components for Sustainable Hydrogen Technologies: A Dual-Branch Deep Learning Approach (2026)
  Wasimul Karim et al.
  5.01
• UnDA: Unpaired Domain Alignment for Cross-Modal Knowledge Transfer in Medical Imaging (2026)
  Rafsan Jany et al.
  5.01
• RGBX-DiffusionDet: A Framework for Multi-Modal RGB-X Object Detection Using DiffusionDet (2025)
  Eliraz Orfaig et al.
  4.93
• Multimodal Sam-adapter For Semantic Segmentation (2025)
  Iacopo Curti, Pierluigi Zama Ramirez, Alioscia Petrelli, et al.
  4.68
• Unimrseg: Unified Modality-relax Segmentation Via Hierarchical Self-supervised Compensation (2025)
  Xiaoqi Zhao, Youwei Pang, Chenyang Yu, et al.
  4.63
• Lasfnet: A Lightweight Attention-guided Self-modulation Feature Fusion Network For Multimodal Object Detection (2025)
  Lei Hao, Lina Xu, Chang Liu, et al.
  4.48
• MGML: A Plug-and-play Meta-guided Multi-modal Learning Framework For Incomplete Multimodal Brain Tumor Segmentation (2025)
  Yulong Zou, Bo Liu, Cun-Jing Zheng, et al.
  4.47
• ScratNet: A Swin-Based Multi-Scale Dilated Network with Precision Refinement for Semiconductor Scratch Segmentation (2026)
  Sachin Ranjan et al.
  4.39
• M2P-AD: Memory-to-Prototype Learning with Boundary-aware Score Refinement for 3D Anomaly Detection (2026)
  Seyoung Jeong et al.
  4.39
• Multi-Modal Attention for Automated Disaster Damage Assessment Using Remote Sensing Imagery and Deep Learning (2026)
  Tewodros Syum Gebre et al.
  4.33
• Fusion-E2Pulse: A Multimodal Event-RGB Fusion Network for Non-contact Pulse Wave Reconstruction (2026)
  Qian Feng et al.
  4.33
• Heterogeneous and Adept Snapshot Distillation for 3D Semantic Segmentation (2026)
  Xiaopei Wu et al.
  4.33
• MSNN-LINet: Cross-Modal Learning via Continuous Linear Integration (2026)
  Gabriel Clinger
  4.33
• UASTrack: A Unified Adaptive Selection Framework with Modality-Customization in Single Object Tracking (2025)
  He Wang et al.
  4.25
• Irdfusion: Iterative Relation-map Difference Guided Feature Fusion For Multispectral Object Detection (2025)
  Jifeng Shen, Haibo Zhan, Xin Zuo, et al.
  4.22
• A Multimodal Feature Distillation with Mamba-Transformer Network for Brain Tumor Segmentation with Incomplete Modalities (2024)
  Ming Kang et al.
  4.13
• Bridging Modalities: Joint Synthesis and Registration Framework for Aligning Diffusion MRI with T1-Weighted Images (2026)
  Xiaofan Wang et al.
  3.92
• Few-Medoids: An Embarrassingly Simple Coreset Selection Method for Few-Shot Knowledge Distillation (2026)
  Cemil-Andrei Dilmac et al.
  3.51
• UMSS: Towards Unsupervised Multi-modal Semantic Segmentation (2026)
  Haitian Zhang et al.
  3.51
• FUSE: Frequency-domain Unification and Spectral Energy Alignment for Multi-modal Object Re-Identification (2026)
  Xuanhao Qi et al.
  3.45
• CMDS-AD: Cross-Modal Dual-Stream Decoupling for Few-Shot Anomaly Detection (2026)
  Junhao Cai et al.
  3.45
• CMTFormer: Marrying Transformer with Hierarchical Information Interaction for RGB-Event Object Detection (2026)
  Yu Li et al.
  3.45
• AnyMatch: Supercharging Universal Multi-Modal Image Matching with Large-Scale Single-View Images (2026)
  Meng Yang et al.
  3.45
• Bridgenet: A Unified Multimodal Framework For Bridging 2D And 3D Industrial Anomaly Detection (2025)
  An Xiang, Zixuan Huang, Xitong Gao, et al.
  3.05
• Enhancing Synthetic CT From CBCT Via Multimodal Fusion And End-to-end Registration (2025)
  Maximilian Tschuchnig, Lukas Lamminger, Philipp Steininger, et al.
  2.93
• Bi-directional Self-registration For Misaligned Infrared-visible Image Fusion (2025)
  Timing Li, Bing Cao, Pengfei Zhu, et al.
  2.87
• Murrenet: Modeling Holistic Multimodal Interactions Between Histopathology And Genomic Profiles For Survival Prediction (2025)
  Mingxin Liu, Chengfei Cai, Jun Li, et al.
  2.87
• Semi-supervised Multi-modal Medical Image Segmentation For Complex Situations (2025)
  Dongdong Meng, Sheng Li, Hao Wu, et al.
  2.87
• Crossray3d: Geometry And Distribution Guidance For Efficient Multimodal 3D Detection (2025)
  Huiming Yang, Wenzhuo Liu, Yicheng Qiao, et al.
  2.87
• Graph-based Uncertainty Modeling And Multimodal Fusion For Salient Object Detection (2025)
  Yuqi Xiong, Wuzhen Shi, Yang Wen, et al.
  2.13
• Diffpixelformer: Differential Pixel-aware Transformer For RGB-D Indoor Scene Segmentation (2025)
  Yan Gong, Jianli Lu, Yongsheng Gao, et al.
  1.98
• PI-NAIM: Path-integrated Neural Adaptive Imputation Model (2025)
  Afifa Khaled, Ebrahim Hamid Sumiea
  1.98
• Response-Aware Multimodal Learning for Post-Treatment Visual Acuity Forecasting (2026)
  Phuoc-Nguyen Bui et al.
  1.94
• Harmonized Tabular-Image Fusion via Gradient-Aligned Alternating Learning (2026)
  Longfei Huang and Yang Yang
  1.83
• Modulate-and-Map: Crossmodal Feature Mapping with Cross-View Modulation for 3D Anomaly Detection (2026)
  Alex Costanzino et al.
  1.83
• CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation (2026)
  Zelin Zhang et al.
  1.83
• SGANet: Semantic and Geometric Alignment for Multimodal Multi-view Anomaly Detection (2026)
  Letian Bai et al.
  1.83
• CRFT: Consistent-Recurrent Feature Flow Transformer for Cross-Modal Image Registration (2026)
  Xuecong Liu et al.
  1.83
• M-IDoL: Information Decomposition for Modality-Specific and Diverse Representation Learning in Medical Foundation Model (2026)
  Yihang Liu and Ying Wen and Jiaxiong Yang and Longzhen Yang and Lianghua He and Heng Tao Shen
  1.83
• SGMA: Semantic-Guided Modality-Aware Segmentation for Remote Sensing with Incomplete Multimodal Data (2026)
  Lekang Wen et al.
  1.78
• Cross-Modal Mapping and Dual-Branch Reconstruction for 2D-3D Multimodal Industrial Anomaly Detection (2026)
  Radia Daci et al.
  1.78
• Federated Modality-specific Encoders and Partially Personalized Fusion Decoder for Multimodal Brain Tumor Segmentation (2026)
  Hong Liu et al.
  1.78
• RTFDNet: Fusion-Decoupling for Robust RGB-T Segmentation (2026)
  Kunyu Tan and Mingjian Liang
  1.78
• Exploring Modality-Aware Fusion and Decoupled Temporal Propagation for Multi-Modal Object Tracking (2026)
  Shilei Wang et al.
  1.78
• TriFusion-SR: Joint Tri-Modal Medical Image Fusion and SR (2026)
  Fayaz Ali Dharejo et al.
  1.78
• GLEAM: A Multimodal Imaging Dataset and HAMM for Glaucoma Classification (2026)
  Jiao Wang et al.
  1.78
• Make it SING: Analyzing Semantic Invariants in Classifiers (2026)
  Harel Yadid et al.
  1.78
• Parameter-Efficient Modality-Balanced Symmetric Fusion for Multimodal Remote Sensing Semantic Segmentation (2026)
  Haocheng Li et al.
  1.78
• Disentangle-then-Align: Non-Iterative Hybrid Multimodal Image Registration via Cross-Scale Feature Disentanglement (2026)
  Chunlei Zhang et al.
  1.78
• CFCML: A Coarse-to-Fine Crossmodal Learning Framework For Disease Diagnosis Using Multimodal Images and Tabular Data (2026)
  Tianling Liu and Hongying Liu and Fanhua Shang and Lequan Yu and Tong Han and Liang Wan
  1.78
• Weakly supervised multimodal segmentation of acoustic borehole images with depth-aware cross-attention (2026)
  Jose Luis Lima de Jesus Silva
  1.78
• Group3D: MLLM-Driven Semantic Grouping for Open-Vocabulary 3D Object Detection (2026)
  Youbin Kim et al.
  1.78
• Colon-Bench: An Agentic Workflow for Scalable Dense Lesion Annotation in Full-Procedure Colonoscopy Videos (2026)
  Abdullah Hamdi et al.
  1.78
• Quasi-multimodal-based pathophysiological feature learning for retinal disease diagnosis (2026)
  Lu Zhang et al.
  1.72
• DCER: Dual-Stage Compression and Energy-Based Reconstruction (2026)
  Yiwen Wang et al.
  1.72
• A Unified Framework for Multimodal Image Reconstruction and Synthesis using Denoising Diffusion Models (2026)
  Weijie Gan et al.
  1.72
• NutVLM: A Self-Adaptive Defense Framework against Full-Dimension Attacks for Vision Language Models in Autonomous Driving (2026)
  Xiaoxu Peng et al.
  1.72