3 citations · 3 across the 3 of their papers we have counts for
3 papers
cs.MM2022★ 3 cited
Robust-MSA: Understanding the Impact of Modality Noise on Multimodal Sentiment Analysis
Huisheng Mao, Baozheng Zhang, Hua Xu +2
Improving model robustness against potential modality noise, as an essential step for adapting multimodal models to real-world applications, has received increasing attention among…
cs.MM2022
Make Acoustic and Visual Cues Matter: CH-SIMS v2.0 Dataset and AV-Mixup Consistent Module
Yihe Liu, Ziqi Yuan, Huisheng Mao +7
Multimodal sentiment analysis (MSA), which supposes to improve text-based sentiment analysis with associated acoustic and visual modalities, is an emerging research area due to its…
cs.AI2022
M-SENA: An Integrated Platform for Multimodal Sentiment Analysis
Huisheng Mao, Ziqi Yuan, Hua Xu +3
M-SENA is an open-sourced platform for Multimodal Sentiment Analysis. It aims to facilitate advanced research by providing flexible toolkits, reliable benchmarks, and intuitive dem…