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MSA-ITEI: A Novel Method for Multimodal Analysis of Social Media Stickers

Year: 2025

Type: conference-paper

Source: IEEE International Conference on Acoustics Speech and Signal Processing

DOI: 10.1109/icassp49660.2025.10889424

Authors: Yuanchen Shi, Fang Kong

Institution: Soochow University

Language: English

Topic: Multimodal Machine Learning Applications

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

Open Access status: closed

Funders: Ministry of Education, National Natural Science Foundation of China

OpenAlex ID: W4408354475

FWCI:

Cites: 27

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Related to: 10