26 citations · 44 across the 18 of their papers we have counts for
20 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…
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…
Exploring Emotion Expression Recognition in Older Adults Interacting with a Virtual Coach
Cristina Palmero, Mikel deVelasco, Mohamed Amine Hmani +18
The EMPATHIC project aimed to design an emotionally expressive virtual coach capable of engaging healthy seniors to improve well-being and promote independent aging. One of the cor…
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…
Towards Self-Supervised Gaze Estimation
Arya Farkhondeh, Cristina Palmero, Simone Scardapane +1
Recent joint embedding-based self-supervised methods have surpassed standard supervised approaches on various image recognition tasks such as image classification. These self-super…
Dyadformer: A Multi-modal Transformer for Long-Range Modeling of Dyadic Interactions
David Curto, Albert Clapés, Javier Selva +8
Personality computing has become an emerging topic in computer vision, due to the wide range of applications it can be used for. However, most works on the topic have focused on an…
Context-Aware Personality Inference in Dyadic Scenarios: Introducing the UDIVA Dataset
Cristina Palmero, Javier Selva, Sorina Smeureanu +8
This paper introduces UDIVA, a new non-acted dataset of face-to-face dyadic interactions, where interlocutors perform competitive and collaborative tasks with different behavior el…
Person Perception Biases Exposed: Revisiting the First Impressions Dataset
Julio C. S. Jacques Junior, Agata Lapedriza, Cristina Palmero +2
This work revisits the ChaLearn First Impressions database, annotated for personality perception using pairwise comparisons via crowdsourcing. We analyse for the first time the ori…
OpenEDS2020: Open Eyes Dataset
Cristina Palmero, Abhishek Sharma, Karsten Behrendt +3
We present the second edition of OpenEDS dataset, OpenEDS2020, a novel dataset of eye-image sequences captured at a frame rate of 100 Hz under controlled illumination, using a virt…
On the Effect of Observed Subject Biases in Apparent Personality Analysis from Audio-visual Signals
Ricardo Darío Pérez Principi, Cristina Palmero, Julio C. S. Jacques Junior +1
Personality perception is implicitly biased due to many subjective factors, such as cultural, social, contextual, gender and appearance. Approaches developed for automatic personal…
Recurrent CNN for 3D Gaze Estimation using Appearance and Shape Cues
Cristina Palmero, Javier Selva, Mohammad Ali Bagheri +1
Gaze behavior is an important non-verbal cue in social signal processing and human-computer interaction. In this paper, we tackle the problem of person- and head pose-independent 3…