17 citations · 20 across the 12 of their papers we have counts for
14 papers · 1 filter
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,…
SneakPeek: Future-Guided Instructional Streaming Video Generation
Cheeun Hong, German Barquero, Fadime Sener +6
Instructional video generation is an emerging task that aims to synthesize coherent demonstrations of procedural activities from textual descriptions. Such capability has broad imp…
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…
Seamless Human Motion Composition with Blended Positional Encodings
German Barquero, Sergio Escalera, Cristina Palmero
Conditional human motion generation is an important topic with many applications in virtual reality, gaming, and robotics. While prior works have focused on generating motion guide…
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…
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…
BeLFusion: Latent Diffusion for Behavior-Driven Human Motion Prediction
German Barquero, Sergio Escalera, Cristina Palmero
Stochastic human motion prediction (HMP) has generally been tackled with generative adversarial networks and variational autoencoders. Most prior works aim at predicting highly div…
Comparison of Spatio-Temporal Models for Human Motion and Pose Forecasting in Face-to-Face Interaction Scenarios
German Barquero, Johnny Núñez, Zhen Xu +4
Human behavior forecasting during human-human interactions is of utmost importance to provide robotic or virtual agents with social intelligence. This problem is especially challen…
Didn't see that coming: a survey on non-verbal social human behavior forecasting
German Barquero, Johnny Núñez, Sergio Escalera +4
Non-verbal social human behavior forecasting has increasingly attracted the interest of the research community in recent years. Its direct applications to human-robot interaction a…
Rank-based verification for long-term face tracking in crowded scenes
Germán Barquero, Isabelle Hupont, Carles Fernández
Most current multi-object trackers focus on short-term tracking, and are based on deep and complex systems that often cannot operate in real-time, making them impractical for video…
Long-Term Face Tracking for Crowded Video-Surveillance Scenarios
Germán Barquero, Carles Fernández, Isabelle Hupont
Most current multi-object trackers focus on short-term tracking, and are based on deep and complex systems that do not operate in real-time, often making them impractical for video…