Imagen de Portada

Divide and Conquer: Decoupled Representation Alignment for Multimodal World Models

Fuente: arXiv

Guardado en:

Detalles Bibliográficos
Autores principales:	Xiao, Junyuan, Liang, Dingkang, Zhou, Xin, Ye, Yixuan, Su, Tongtong, Yi, Guangmo, Xia, Bin, Lyu, Qiang, Shi, Shurui, Huang, Jun, Si, Jianlou, Yang, Wenming
Formato:	Preprint
Publicado:	2026
Materias:	Computer Vision and Pattern Recognition
Acceso en línea:	Acceder al recurso
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Ejemplares similares

Divide-and-Conquer Decoupled Network for Cross-Domain Few-Shot Segmentation
por: Cong, Runmin, et al.
Publicado: (2025)

A Divide and Conquer Algorithm of Bayesian Density Estimation
por: Ya Su
Publicado: (2025)

Divide, Conquer and Unite: Hierarchical Style-Recalibrated Prototype Alignment for Federated Medical Segmentation
por: Zhao, Xingyue, et al.
Publicado: (2025)

Deformable Medical Image Registration with Effective Anatomical Structure Representation and Divide-and-Conquer Network
por: Ma, Xinke, et al.
Publicado: (2025)

Toward Effective Multimodal Graph Foundation Model: A Divide-and-Conquer Based Approach
por: Liu, Sicheng, et al.
Publicado: (2026)

Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large Language Models
por: Ye, Zhipeng, et al.
Publicado: (2026)

An Examination on the Effectiveness of Divide-and-Conquer Prompting in Large Language Models
por: Zhang, Yizhou, et al.
Publicado: (2024)

Hierarchical Divide-and-Conquer for Fine-Grained Alignment in LLM-Based Medical Evaluation
por: Zheng, Shunfan, et al.
Publicado: (2025)

MicroCinema: A Divide-and-Conquer Approach for Text-to-Video Generation
por: Wang, Yanhui, et al.
Publicado: (2023)

Accurate and Scalable Matrix Mechanisms via Divide and Conquer
por: He, Guanlin, et al.
Publicado: (2026)

Dividing and Conquering the Van Vleck Catastrophe
por: Simon, Sophia, et al.
Publicado: (2025)

Divide and Conquer: Heterogeneous Noise Integration for Diffusion-based Adversarial Purification
por: Pei, Gaozheng, et al.
Publicado: (2025)

Statistical Optimality of Divide and Conquer Kernel-based Functional Linear Regression
por: Liu, Jiading, et al.
Publicado: (2022)

Divide and Conquer: A Hybrid Strategy Defeats Multimodal Large Language Models
por: Mao, Yanxu, et al.
Publicado: (2024)

Single-Reset Divide & Conquer Imitation Learning
por: Chenu, Alexandre, et al.
Publicado: (2024)

A Divide-and-Conquer Approach to Persistent Homology
por: Li, Chenghui, et al.
Publicado: (2024)

Adaptive Divide and Conquer with Two Rounds of Communication
por: Kal, Niladri, et al.
Publicado: (2025)

Divide-and-Conquer Simulation of Open Quantum Systems
por: Azevedo, Thiago Melo D., et al.
Publicado: (2025)

Diffusion Generative Modelling for Divide-and-Conquer MCMC
por: Trojan, C., et al.
Publicado: (2024)

Divide and Conquer based Symbolic Vulnerability Detection
por: Scherb, Christopher, et al.
Publicado: (2024)

Qubit Mapping: The Adaptive Divide-and-Conquer Approach
por: Huang, Yunqi, et al.
Publicado: (2024)

Polarization Entrepreneurs: Dividing to Conquer in the Trump Era
por: Christoph H. Stefes, et al.
Publicado: (2026)

Measuring the Component of a Divide and Conquer Skeleton
por: M. Printista
Publicado: (2009)

Divide, Harmonize, Then Conquer It: Shooting Multi-Commodity Flow Problems with Multimodal Language Models
por: Yuan, Xinyu, et al.
Publicado: (2026)

Divide and Conquer: Multimodal Video Deepfake Detection via Cross-Modal Fusion and Localization
por: Li, Qingcao, et al.
Publicado: (2026)

Dynamic Dual Buffer with Divide-and-Conquer Strategy for Online Continual Learning
por: Dai, Congren, et al.
Publicado: (2025)

VSAL: A Vision Solver with Adaptive Layouts for Graph Property Detection
por: Xie, Jiahao, et al.
Publicado: (2026)

Advances in Set Function Learning: A Survey of Techniques and Applications
por: Xie, Jiahao, et al.
Publicado: (2025)

Automatically Generating UI Code from Screenshot: A Divide-and-Conquer-Based Approach
por: Wan, Yuxuan, et al.
Publicado: (2024)

DAC: 2D-3D Retrieval with Noisy Labels via Divide-and-Conquer Alignment and Correction
por: Gan, Chaofan, et al.
Publicado: (2024)

Transitive RL: Value Learning via Divide and Conquer
por: Park, Seohong, et al.
Publicado: (2025)

Structured Divide-and-Conquer for the Definite Generalized Eigenvalue Problem
por: Demmel, James, et al.
Publicado: (2025)

DC-Net: Divide-and-Conquer for Salient Object Detection
por: Zhu, Jiayi, et al.
Publicado: (2023)

Divide, Conquer, Combine Bayesian Decision Tree Sampling
por: Cochrane, Jodie A., et al.
Publicado: (2024)

Multidimensional Quantum Walks, Recursion, and Quantum Divide & Conquer
por: Jeffery, Stacey, et al.
Publicado: (2024)

Robust and Explainable Divide-and-Conquer Learning for Intrusion Detection
por: Zhou, Yan, et al.
Publicado: (2026)

Divide, Conquer and Verify: Improving Symbolic Execution Performance
por: Scherb, Christopher, et al.
Publicado: (2023)

DCA: Dividing and Conquering Amnesia in Incremental Object Detection
por: Zhang, Aoting, et al.
Publicado: (2025)

A Divide-Align-Conquer Strategy for Program Synthesis
por: Witt, Jonas, et al.
Publicado: (2023)

Control Large Language Models via Divide and Conquer
por: Li, Bingxuan, et al.
Publicado: (2024)