activity
20232026
most citedReactFace: Online Multiple Appropriate Facial Reaction Generation in Dyadic Interactions

2 citations · 3 across the 4 of their papers we have counts for

collaborators

5 papers

cs.CV2026

REACT 2026: The Fourth Multiple Appropriate Facial Reaction Generation Challenge: Personalised MAFRG and Appropriate EEG Reaction Prediction

Siyang Song, Micol Spitale, Zijian Wu +11

In dyadic interactions, various human facial reactions could be appropriate for responding to each human speaker behaviour. Following the successful organisation of the REACT 2023,…

cs.CV2025

REACT 2025: the Third Multiple Appropriate Facial Reaction Generation Challenge

Siyang Song, Micol Spitale, Xiangyu Kong +12

In dyadic interactions, a broad spectrum of human facial reactions might be appropriate for responding to each human speaker behaviour. Following the successful organisation of the…

cs.LG2024★ 1 cited

Graph in Graph Neural Network

Jiongshu Wang, Jing Yang, Jiankang Deng +2

Existing Graph Neural Networks (GNNs) are limited to process graphs each of whose vertices is represented by a vector or a single value, limited their representing capability to de…

cs.CV2024

REACT 2024: the Second Multiple Appropriate Facial Reaction Generation Challenge

Siyang Song, Micol Spitale, Cheng Luo +9

In dyadic interactions, humans communicate their intentions and state of mind using verbal and non-verbal cues, where multiple different facial reactions might be appropriate in re…

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…