The 6th affective behavior analysis in-the-wild (abaw) competition

D Kollias, P Tzirakis, A Cowen… - Proceedings of the …, 2024 - openaccess.thecvf.com
This paper describes the 6th Affective Behavior Analysis in-the-wild (ABAW) Competition
which is part of the respective Workshop held in conjunction with IEEE CVPR 2024. The 6th …

Muse 2023 challenge: Multimodal prediction of mimicked emotions, cross-cultural humour, and personalised recognition of affects

S Amiriparian, L Christ, A König, A Cowen… - Proceedings of the 31st …, 2023 - dl.acm.org
The 4th Multimodal Sentiment Analysis Challenge (MuSe) focuses on Multimodal Prediction
of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects …

Efficient feature extraction and late fusion strategy for audiovisual emotional mimicry intensity estimation

J Yu, W Zhu, J Zhu, Z Cai, G Zhao… - Proceedings of the …, 2024 - openaccess.thecvf.com
In this paper, we present the solution to the Emotional Mimicry Intensity (EMI) Estimation
challenge, which is part of 6th Affective Behavior Analysis in-the-wild (ABAW) 2024. The EMI …

Exploring the power of cross-contextual large language model in mimic emotion prediction

G Yi, Y Yang, Y Pan, Y Cao, J Yao, X Lv, C Fan… - Proceedings of the 4th …, 2023 - dl.acm.org
utilize multimodal data to predict the intensity of three emotional categories. In our work, we
discovered that integrating multiple dimensions, modalities, and levels enhances the …

The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition

S Amiriparian, L Christ, A Kathan, M Gerczuk… - Proceedings of the 5th …, 2024 - dl.acm.org
The Multimodal Sentiment Analysis Challenge (MuSe) 2024 addresses two contemporary
multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge …

MMT-GD: Multi-Modal Transformer with Graph Distillation for Cross-Cultural Humor Detection

J Yu, W Zhu, J Zhu, X Shen, J Sun, J Liang - Proceedings of the 4th on …, 2023 - dl.acm.org
In this paper, we present a solution for the Cross-Cultural Humor Detection (MuSe-Humor)
sub-challenge, which is part of the Multimodal Sentiment Analys Challenge (MuSe) 2023 …

COLD fusion: Calibrated and ordinal latent distribution fusion for uncertainty-aware multimodal emotion recognition

MK Tellamekala, S Amiriparian… - … on Pattern Analysis …, 2023 - ieeexplore.ieee.org
Automatically recognising apparent emotions from face and voice is hard, in part because of
various sources of uncertainty, including in the input data and the labels used in a machine …

Humor Detection System for MuSE 2023: Contextual Modeling, Pesudo Labelling, and Post-smoothing

M Xu, S Chen, Z Lian, B Liu - Proceedings of the 4th on Multimodal …, 2023 - dl.acm.org
Humor detection has emerged as an active research area within the field of artificial
intelligence. Over the past few decades, it has made remarkable progress with the …

Language-guided Multi-modal Emotional Mimicry Intensity Estimation

F Qiu, W Zhang, C Liu, L Li, H Du… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Emotional Mimicry Intensity (EMI) estimation aims to identify the intensity of mimicry
exhibited by individuals in response to observed emotions. The challenge in EMI estimation …

Temporal-aware Multimodal Feature Fusion for Sentiment Analysis

Q Li, S Tang, F Zhang, R Wang, Y Xu, Z Zhao… - Proceedings of the 4th …, 2023 - dl.acm.org
In this paper, we present a solution to the MuSe-Personalisation sub-challenge in the
Multimodal Sentiment Analysis Challenge 2023. The task of MuSe-Personalisation aims to …