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20212026
most citedLearning Multi-dimensional Edge Feature-based AU Relation Graph for Facial Action Unit Recognition

149 citations · 183 across the 17 of their papers we have counts for

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Showing 2023Show all

5 papers · 1 filter

eess.AS2023

Joint Prediction of Audio Event and Annoyance Rating in an Urban Soundscape by Hierarchical Graph Representation Learning

Yuanbo Hou, Siyang Song, Cheng Luo +6

Sound events in daily life carry rich information about the objective world. The composition of these sounds affects the mood of people in a soundscape. Most previous approaches on…

cs.CV2023

MRecGen: Multimodal Appropriate Reaction Generator

Jiaqi Xu, Cheng Luo, Weicheng Xie +5

Verbal and non-verbal human reaction generation is a challenging task, as different reactions could be appropriate for responding to the same behaviour. This paper proposes the fir…

cs.CV2023★ 1 cited

REACT2023: the first Multi-modal Multiple Appropriate Facial Reaction Generation Challenge

Siyang Song, Micol Spitale, Cheng Luo +8

The Multi-modal Multiple Appropriate Facial Reaction Generation Challenge (REACT2023) is the first competition event focused on evaluating multimedia processing and machine learnin…

cs.CV2023★ 2 cited

ReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions

Cheng Luo, Siyang Song, Weicheng Xie +4

In dyadic interaction, predicting the listener's facial reactions is challenging as different reactions could be appropriate in response to the same speaker's behaviour. Previous a…

cs.CV2023★ 5 cited

Spatio-Temporal AU Relational Graph Representation Learning For Facial Action Units Detection

Zihan Wang, Siyang Song, Cheng Luo +4

This paper presents our Facial Action Units (AUs) detection submission to the fifth Affective Behavior Analysis in-the-wild Competition (ABAW). Our approach consists of three main…