Multimodal Conversation Emotion Recognition Combining Multi- Level Attention and Multi-Stream Graph Neural Networks

被引：0
|
作者：
Feng, Hongqi [1 ]
Guo, Yongxiang [1 ]
Zhang, Denghui [2 ]
Yang, Xinli [2 ]
机构：
[1] School of Computer Science and Artificial Intelligence, Changzhou University, Jiangsu, Changzhou,213100, China
[2] College of Information Technology, Zhejiang Shuren University, Hangzhou,310000, China
来源：
Computer Engineering and Applications | 2024年 / 60卷 / 21期
关键词：
Graph neural networks;
D O I：
10.3778/j.issn.1002-8331.2307-0196
中图分类号：
学科分类号：
摘要：
引用
收藏
页码：154 / 163
相关论文
共 50 条
  • [21] Multi-Stream Interaction Networks for Human Action Recognition
    Wang, Haoran
    Yu, Baosheng
    Li, Jiaqi
    Zhang, Linlin
    Chen, Dongyue
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2022, 32 (05) : 3050 - 3060
  • [22] Action recognition method based on multi-stream attention-enhanced recursive graph convolution
    Wang, Huaijun
    Bai, Bingqian
    Li, Junhuai
    Ke, Hui
    Xiang, Wei
    APPLIED INTELLIGENCE, 2024, 54 (20) : 10133 - 10147
  • [23] A MULTI-STREAM NETWORK FOR MESH DENOISING VIA GRAPH NEURAL NETWORKS WITH GAUSSIAN CURVATURE
    Zhao, Zhibo
    Wu, Wenhui
    Liu, Hongjie
    Gong, Yuanhao
    2023 IEEE INTERNATIONAL CONFERENCE ON IMAGE PROCESSING, ICIP, 2023, : 1355 - 1359
  • [24] Multi-Stream General and Graph-Based Deep Neural Networks for Skeleton-Based Sign Language Recognition
    Miah, Abu Saleh Musa
    Hasan, Md. Al Mehedi
    Jang, Si-Woong
    Lee, Hyoun-Sup
    Shin, Jungpil
    ELECTRONICS, 2023, 12 (13)
  • [25] Combining Information from Multi-Stream Features Using Deep Neural Network in Speech Recognition
    Zhou, Pan
    Dai, Lirong
    Liu, Qingfeng
    Jiang, Hui
    PROCEEDINGS OF 2012 IEEE 11TH INTERNATIONAL CONFERENCE ON SIGNAL PROCESSING (ICSP) VOLS 1-3, 2012, : 557 - +
  • [26] Multi-Stream Deep Neural Networks for RGB-D Egocentric Action Recognition
    Tang, Yansong
    Wang, Zian
    Lu, Jiwen
    Feng, Jianjiang
    Zhou, Jie
    IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2019, 29 (10) : 3001 - 3015
  • [27] Bi-stream graph learning based multimodal fusion for emotion recognition in conversation
    Lu, Nannan
    Han, Zhiyuan
    Han, Min
    Qian, Jiansheng
    INFORMATION FUSION, 2024, 106
  • [28] Partially Occluded Skeleton Action Recognition Based on Multi-stream Fusion Graph Convolutional Networks
    Li, Dan
    Shi, Wuzhen
    ADVANCES IN COMPUTER GRAPHICS, CGI 2021, 2021, 13002 : 178 - 189
  • [29] Multimodal Emotion Recognition Using Compressed Graph Neural Networks
    Durkic, Tijana
    Simic, Nikola
    Bajovic, Sinisa Suzie Dragana
    Peric, Zoran
    Delic, Vladan
    SPEECH AND COMPUTER, SPECOM 2024, PT II, 2025, 15300 : 109 - 121
  • [30] Multi-stream Deep Networks for Vehicle Make and Model Recognition
    Besbes, Mohamed Dhia Elhak
    Kessentini, Yousri
    Tabia, Hedi
    PROCEEDINGS OF THE 15TH INTERNATIONAL JOINT CONFERENCE ON COMPUTER VISION, IMAGING AND COMPUTER GRAPHICS THEORY AND APPLICATIONS, VOL 5: VISAPP, 2020, : 413 - 419
12345