84 citations · 114 across the 20 of their papers we have counts for
5 papers · 1 filter
Exploiting modality-invariant feature for robust multimodal emotion recognition with missing modalities
Haolin Zuo, Rui Liu, Jinming Zhao +2
Multimodal emotion recognition leverages complementary information across modalities to gain performance. However, we cannot guarantee that the data of all modalities are always pr…
Multi-Task Learning Framework for Emotion Recognition in-the-wild
Tenggan Zhang, Chuanhe Liu, Xiaolong Liu +7
This paper presents our system for the Multi-Task Learning (MTL) Challenge in the 4th Affective Behavior Analysis in-the-wild (ABAW) competition. We explore the research problems o…
Multi-modal Emotion Estimation for in-the-wild Videos
Liyu Meng, Yuchen Liu, Xiaolong Liu +5
In this paper, we briefly introduce our submission to the Valence-Arousal Estimation Challenge of the 3rd Affective Behavior Analysis in-the-wild (ABAW) competition. Our method uti…
MEmoBERT: Pre-training Model with Prompt-based Learning for Multimodal Emotion Recognition
Jinming Zhao, Ruichen Li, Qin Jin +2
Multimodal emotion recognition study is hindered by the lack of labelled corpora in terms of scale and diversity, due to the high annotation cost and label ambiguity. In this paper…
WenLan: Bridging Vision and Language by Large-Scale Multi-Modal Pre-Training
Yuqi Huo, Manli Zhang, Guangzhen Liu +32
Multi-modal pre-training models have been intensively explored to bridge vision and language in recent years. However, most of them explicitly model the cross-modal interaction bet…