6 papers
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,…
Enhancing Personality Recognition by Comparing the Predictive Power of Traits, Facets, and Nuances
Amir Ansari, Jana Subirana, Bruna Silva +3
Personality is a complex, hierarchical construct typically assessed through item-level questionnaires aggregated into broad trait scores. Personality recognition models aim to infe…
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…
From Sparse Signal to Smooth Motion: Real-Time Motion Generation with Rolling Prediction Models
German Barquero, Nadine Bertsch, Manojkumar Marramreddy +8
In extended reality (XR), generating full-body motion of the users is important to understand their actions, drive their virtual avatars for social interaction, and convey a realis…
MixerMDM: Learnable Composition of Human Motion Diffusion Models
Pablo Ruiz-Ponce, German Barquero, Cristina Palmero +2
Generating human motion guided by conditions such as textual descriptions is challenging due to the need for datasets with pairs of high-quality motion and their corresponding cond…
in2IN: Leveraging individual Information to Generate Human INteractions
Pablo Ruiz Ponce, German Barquero, Cristina Palmero +2
Generating human-human motion interactions conditioned on textual descriptions is a very useful application in many areas such as robotics, gaming, animation, and the metaverse. Al…