多模态大模型

A Context-aware Attention and Graph Neural Network-based Multimodal Framework for Misogyny Detection

Mohammad Zia Ur Rehman, Sufyaan Zahoor, Areeb Manzoor, Musharaf Maqbool, Nagendra Kumar

机构 * Department of Computer Science and Engineering（计算机科学与工程系） ； Indian Institute of Technology Indore（印度理工学院印德分校） ； Department of Computer Science and Engineering, National Institute of Technology Srinagar（计算机科学与工程系，印度国立技术学院斯里 Nagar分校） 纠错

专题命中 其他多模态 ：multimodal(title,abstract)；分类 cs.CV、cs.AI

Comments Published in Information Processing & Management

A Generative Imputation Method for Multimodal Alzheimer's Disease Diagnosis

Reihaneh Hassanzadeh, Anees Abrol, Hamid Reza Hassanzadeh, Vince D. Calhoun

机构 * School of Electrical and Computer Engineering, Georgia Institute of Technology, Atlanta, GA, USA（电气与计算机工程学院，佐治亚理工学院，亚特兰大，GA，USA） ； Courtesy Faculty Appointment, College of Pharmacy, University of Florida, Gainesville, FL, USA（佛罗里达大学药学院荣誉教职） 纠错

专题命中 其他多模态 ：multimodal(title,abstract)

DSS-Prompt: Dynamic-Static Synergistic Prompting for Few-Shot Class-Incremental Learning

Linpu He, Yanan Li, Bingze Li, Elvis Han Cui, Donghui Wang

机构 * Department of Computer Science and Technology, Zhejiang University（浙江大学计算机科学与技术系） ； Research Center for Frontier Fundamental Studies, Zhejiang Lab（浙江实验室前沿基础研究中心） ； Department of Neurology, University of California, Irvine（加州大学伊市医学院神经科） 纠错

专题命中 其他多模态 ：multi-modal(abstract)；分类 cs.CV

Comments Accepted to ACMMM 2025

See the Forest and the Trees: A Synergistic Reasoning Framework for Knowledge-Based Visual Question Answering

Junjie Wang, Yunhan Tang, Yijie Wang, Zhihao Yuan, Huan Wang, Yangfan He, Bin Li

专题命中 其他多模态 ：multimodal(abstract)；分类 cs.CV

Comments We are withdrawing this preprint because it is undergoing a major revision and restructuring. We feel that the current version does not convey our core contributions and methodology with sufficient clarity and accuracy

User-Intent-Driven Semantic Communication via Adaptive Deep Understanding

Peigen Ye, Jingpu Duan, Hongyang Du, Yulan Guo

机构 * Sun Yat-sen University（中山大学） ； Pengcheng Laboratory（鹏城实验室） ； The University of Hong Kong（香港大学） 纠错

专题命中 其他多模态 ：multi-modal(abstract)；分类 cs.AI

Comments 300 *^_^* IEEE Globecom 2025

Importance Corrected Neural JKO Sampling

Johannes Hertrich, Robert Gruhlke

机构 * University College London（伦敦大学学院） 纠错

专题命中 其他多模态 ：multimodal(abstract)

Comments Accepted at ICML 2025