AI 大模型

多模态大模型

跨文本、图像、视频、音频等模态的大模型与学习方法。

2025-11-13 至 2025-11-13 共收录 5 篇信号源：cs.CV, cs.CL, cs.AI, cs.MM, eess.AS

1. 视频多模态 5 篇

2505.23990 2025-11-13 cs.AI 79%

Multi-RAG: A Multimodal Retrieval-Augmented Generation System for Adaptive Video Understanding

Mingyang Mao, Mariela M. Perez-Cabarcas, Utteja Kallakuri, Nicholas R. Waytowich, Xiaomin Lin, Tinoosh Mohsenin

机构 * Johns Hopkins Whiting School of Engineering（约翰霍普金斯大学惠廷工程学院）； DEVCOM Army Research Laboratory（国防部陆军研究实验室）

专题命中视频多模态：multimodal(title,abstract)；分类 cs.AI

2511.09342 2025-11-13 eess.SP 78%

A cross-modal pre-training framework with video data for improving performance and generalization of distributed acoustic sensing

Junyi Duan, Jiageng Chen, Zuyuan He

专题命中视频多模态：cross-modal(title,abstract)

2511.09137 2025-11-13 eess.SP 78%

xHAP: Cross-Modal Attention for Haptic Feedback Estimation in the Tactile Internet

Georgios Kokkinis, Alexandros Iosifidis, Qi Zhang

专题命中视频多模态：cross-modal(title,abstract)

Comments 12 pages, 13 figures, 3 tables, 2 algorithms

2507.03184 2025-11-13 eess.IV cs.CV 57%

EvRWKV: A Continuous Interactive RWKV Framework for Effective Event-Guided Low-Light Image Enhancement

Wenjie Cai, Qingguo Meng, Zhenyu Wang, Xingbo Dong, Zhe Jin

机构 * Anhui Provincial International Joint Research center for Advanced technology in Medical imaging（安徽省国际联合先进医学影像技术研究中心）； School of Artificial Intelligence（人工智能学院）； Anhui University（安徽大学）； State Key Laboratory of Opto-Electronic Information Acquisition and Protection Technology（光电信息采集与防护技术国家重点实验室）； Anhui Provincial Key Laboratory of Secure Artificial Intelligence（安徽省安全人工智能重点实验室）； Guangdong Laboratory of Artificial Intelligence and Digital Economy (SZ)（粤港澳大湾区人工智能与数字经济实验室（深圳））

专题命中视频多模态：cross-modal(abstract)；分类 cs.CV

2506.08892 2025-11-13 cs.HC cs.RO 50%

Help or Hindrance: Understanding the Impact of Robot Communication in Action Teams

Tauhid Tanjim, Jonathan St. George, Kevin Ching, Angelique Taylor

机构 * Department of Information Science at Cornell University（康奈尔大学信息科学系）； Weill Cornell Medicine, Cornell University（韦尔医学院，康奈尔大学）

专题命中视频多模态：multimodal(abstract)

Comments This is the author's original submitted version of the paper accepted to the 2025 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). \c{opyright} 2025 IEEE. Personal use of this material is permitted. For any other use, please contact IEEE

Journal ref 2025 34th IEEE International Conference on Robot and Human Interactive Communication RO-MAN pp. 1460-1465