244 citations · 360 across the 13 of their papers we have counts for
15 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,…
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…
THERADIA WoZ: An Ecological Corpus for Appraisal-based Affect Research in Healthcare
Hippolyte Fournier, Sina Alisamir, Safaa Azzakhnini +14
We present THERADIA WoZ, an ecological corpus designed for audiovisual research on affect in healthcare. Two groups of senior individuals, consisting of 52 healthy participants and…
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…
Can GPT models Follow Human Summarization Guidelines? A Study for Targeted Communication Goals
Yongxin Zhou, Fabien Ringeval, François Portet
This study investigates the ability of GPT models (ChatGPT, GPT-4 and GPT-4o) to generate dialogue summaries that adhere to human guidelines. Our evaluation involved experimenting…
LeBenchmark 2.0: a Standardized, Replicable and Enhanced Framework for Self-supervised Representations of French Speech
Titouan Parcollet, Ha Nguyen, Solene Evain +19
Self-supervised learning (SSL) is at the origin of unprecedented improvements in many different domains including computer vision and natural language processing. Speech processing…
PSentScore: Evaluating Sentiment Polarity in Dialogue Summarization
Yongxin Zhou, Fabien Ringeval, François Portet
Automatic dialogue summarization is a well-established task with the goal of distilling the most crucial information from human conversations into concise textual summaries. Howeve…
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…
Cross-domain Voice Activity Detection with Self-Supervised Representations
Sina Alisamir, Fabien Ringeval, Francois Portet
Voice Activity Detection (VAD) aims at detecting speech segments on an audio signal, which is a necessary first step for many today's speech based applications. Current state-of-th…
Dynamic Time-Alignment of Dimensional Annotations of Emotion using Recurrent Neural Networks
Sina Alisamir, Fabien Ringeval, Francois Portet
Most automatic emotion recognition systems exploit time-continuous annotations of emotion to provide fine-grained descriptions of spontaneous expressions as observed in real-life i…
Effectiveness of French Language Models on Abstractive Dialogue Summarization Task
Yongxin Zhou, François Portet, Fabien Ringeval
Pre-trained language models have established the state-of-the-art on various natural language processing tasks, including dialogue summarization, which allows the reader to quickly…
LeBenchmark: A Reproducible Framework for Assessing Self-Supervised Representation Learning from Speech
Solene Evain, Ha Nguyen, Hang Le +15
Self-Supervised Learning (SSL) using huge unlabeled data has been successfully explored for image and natural language processing. Recent works also investigated SSL from speech. T…
AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition
Fabien Ringeval, Björn Schuller, Michel Valstar +14
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aime…
SEWA DB: A Rich Database for Audio-Visual Emotion and Sentiment Research in the Wild
Jean Kossaifi, Robert Walecki, Yannis Panagakis +10
Natural human-computer interaction and audio-visual human behaviour sensing systems, which would achieve robust performance in-the-wild are more needed than ever as digital devices…
AVEC 2016 - Depression, Mood, and Emotion Recognition Workshop and Challenge
Michel Valstar, Jonathan Gratch, Bjorn Schuller +7
The Audio/Visual Emotion Challenge and Workshop (AVEC 2016) "Depression, Mood and Emotion" will be the sixth competition event aimed at comparison of multimedia processing and mach…