Cross-Modal Fusion

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Period ending 2026-09-21

15 new papers

A weekly snapshot of new work published in Cross-Modal Fusion.

Period ending 2026-09-14

3 new papers

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Fusion

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Multimodal Fusion

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Temporal Fusion Transformer

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Visible Image Fusion

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52 papersExplore

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Cross-Modal Fusion

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Feature Fusion

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36 papersExplore

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Infrared-Visible Image Fusion

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451 papers

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CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation
Apr 3, 2026Zelin Zhang, Kedi Li, Huiqi Liang +3Multimodal Fusion Cross-Modal Learning
MAVFusion: Efficient Infrared and Visible Video Fusion via Motion-Aware Sparse Interaction
Apr 2, 2026Xilai Li, Weijun Jiang, Xiaosong Li +5Visible Image Fusion Motion-Focused Representations
ExFusion: Efficient Transformer Training via Multi-Experts Fusion
Mar 30, 2026Jiacheng Ruan, Daize Dong, Xiaoye Qu +5Mixture-of-Experts Models Transformer Architectures
Context-specific Credibility-aware Multimodal Fusion with Conditional Probabilistic Circuits
Mar 27, 2026Pranuthi Tenali, Sahil Sidheekh, Saurabh Mathur +3Multimodal Fusion Uncertainty-Aware Fusion
COVTrack++: Learning Open-Vocabulary Multi-Object Tracking from Continuous Videos via a Synergistic Paradigm
Mar 25, 2026Zekun Qian, Wei Feng, Ruize Han +1Multi-Object Tracking Open-Vocabulary Object Detection
AgentFoX: LLM Agent-Guided Fusion with eXplainability for AI-Generated Image Detection
Mar 24, 2026Yangxin Yu, Yue Zhou, Bin Li +4Ai-Generated Image Detection Explainability
PolarAPP: Beyond Polarization Demosaicking for Polarimetric Applications
Mar 24, 2026Yidong Luo, Chenggong Li, Yunfeng Song +4Infrared-Visible Image Fusion Polarization
Rethinking Multimodal Fusion for Time Series: Text Modalities Need Constrained Fusion
Mar 23, 2026Seunghan Lee, Jun Seo, Jaehoon Lee +7Multimodal Fusion Time Series
EPOFusion: Exposure aware Progressive Optimization Method for Infrared and Visible Image Fusion
Mar 17, 2026Zhiwei Wang, Defeng He, Li Zhao +3Visible Image Fusion Infrared
Tactile Modality Fusion for Vision-Language-Action Models
Mar 15, 2026Charlotte Morissette, Amin Abyaneh, Wei-Di Chang +5Tactile World Model Vision-Language-Action Models
G-ZAP: A Generalizable Zero-Shot Framework for Arbitrary-Scale Pansharpening
Mar 15, 2026Zhiqi Yang, Shan Yin, Jingze Liang +1Visible Image Fusion Feature Pyramid Networks
Glass Segmentation with Fusion of Learned and General Visual Features
Mar 4, 2026Risto Ojala, Tristan Ellison, Mo ChenVision Foundation Models Fusion
Multimodal rumor detection enhanced by external evidence and forgery features
Jan 21, 2026Han Li, Hua SunMultimodal Fusion Forgeries
Attentive multilayer fusion for vision transformers
Jan 14, 2026Laure Ciernik, Marco Morik, Lukas Thede +4Self-Supervised Vision Transformers Vision Transformer
Evolutionary Physics-Informed Temporal Fusion for Lane-Change Intention Prediction
Dec 30, 2025Jiazhao Shi, Qiyang Xie, Ziyu Wang +7Autonomous Driving Temporal Fusion Transformer
Instant Expressive Gaussian Head Avatars at Over 100 FPS
Dec 18, 2025Kaiwen Jiang, Xueting Li, Seonwook Park +3Facial Animation Animatable 3D Human Avatars
FlowerDance: MeanFlow for Efficient and Refined 3D Dance Generation
Nov 26, 2025Kaixing Yang, Xulong Tang, Ziqiao Peng +4Duet 3D Object Understanding
BOFA: Bridge-Layer Orthogonal Low-Rank Fusion for CLIP-Based Class-Incremental Learning
Nov 14, 2025Lan Li, Tao Hu, Da-Wei Zhou +3Domain Incremental Learning In-Context Learning
DWFF-Net: A Multi-Scale Farmland System Habitat Identification Method with Adaptive Dynamic Weight Feature Fusion
Nov 11, 2025Kesong Zheng, Zhi Song, Peizhou Li +4Feature Fusion Dinov3
Phantom-Insight: Adaptive Multi-cue Fusion for Video Camouflaged Object Detection with Multimodal LLM
Sep 8, 2025Hua Zhang, Changjiang LuoCamouflaged Object Detection Video Object Segmentation
Endoscopic Depth Estimation Based on Deep Learning: A Survey
Jul 28, 2025Ke Niu, Zeyun Liu, Xue Feng +5Depth Estimation Deep Learning
MGDFIS: Multi-scale Global-detail Feature Integration Strategy for Small Object Detection
Jun 15, 2025Yuxiang Wang, Xuecheng Bai, Chuanzhi Xu +2Feature Pyramid Networks Feature Fusion
Clustering and Pruning in Causal Data Fusion
May 21, 2025Otto Tabell, Santtu Tikka, Juha KarvanenCausal Graph Identifiability
M4-SAR: A Multi-Resolution, Multi-Polarization, Multi-Scene, Multi-Source Dataset and Benchmark for optical-SAR Object Detection
May 16, 2025Chao Wang, Wei Lu, Xiang Li +2Synthetic Aperture Radar Object Detection
L2G-Map: Local-to-Global Mapping via Hierarchical Diffusion Refinement and Elliptical Bayesian Fusion
Mar 4, 2025Siyu Li, Xinying Hong, Fei Teng +5Lane-Level Map Generation Map
EPMF: Efficient Perception-aware Multi-sensor Fusion for 3D Semantic Segmentation
Jun 21, 2021Mingkui Tan, Zhuangwei Zhuang, Sitao Chen +4Multi-Sensor Fusion 3D Perception
HeteroPROMPT: A Real-time and Privacy-Preserving Heterogeneous Collaborative Perception Framework
Date pendingArmin Maleki, Hayder RadhaCollaborative Perception Fusion
Multi-Source Wasserstein Distributionally Robust Graph Learning
Date pendingChuansen Peng, Yifan Xia, Jinshan Zhong +1Graph Representation Learning Wasserstein Distance
Learning Intrinsic Water-Quality Dynamics with Rainfall for Data-Driven Forecasting
Date pendingZiqi Wang, Hailiang Zhao, Cheng Bao +3Fundamental Hydrological Principles Precipitation
Classical and quantum kernel fusion for two-sample testing
Date pendingYu Terada, Yugo Ogio, Ken Arai +2Quantum Kernels Two-Sample Testing
A2DINOv3: Rethinking Multi-Modal Object Detection via Socialized Collaboration
Date pendingJiekang Feng, Zhihe Fan, Yunqi Zhu +6Cross-Modal Fusion Cross-Modal Learning

Apr 3, 2026 · cs.CVJ/K move · Enter open · S save

CrossWeaver: Cross-modal Weaving for Arbitrary-Modality Semantic Segmentation

Zelin Zhang, Kedi Li, Huiqi Liang, Chuanzhi Xu+2

Multimodal semantic segmentation has shown great potential in leveraging complementary information across diverse sensing modalities. However, existing approaches often rely on carefully designed fusion strategies that either use modality-specific adaptations or rely on loosely coupled interactions, thereby limiting flexibility and resulting in less effective cross-modal coordination. Moreover, these methods often struggle to balance efficient information exchange with preserving the unique characteristics of each modality across different modality combinations. To address these challenges, we propose CrossWeaver, a simple yet effective multimodal fusion framework for arbitrary-modality semantic segmentation. Its core is a Modality Interaction Block (MIB), which enables selective and reliability-aware cross-modal interaction within the encoder, while a lightweight Seam-Aligned Fusion (SAF) module further aggregates the enhanced features. Extensive experiments on multiple multimodal semantic segmentation benchmarks demonstrate that our framework achieves state-of-the-art performance with minimal additional parameters and strong generalization to unseen modality combinations.

Multimodal Fusion Cross-Modal Learning Weave

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