New trends in emotion recognition using image analysis by neural networks, a systematic review
Facial emotion recognition (FER) is a computer vision process aimed at detecting and
classifying human emotional expressions. FER systems are currently used in a vast range of …
classifying human emotional expressions. FER systems are currently used in a vast range of …
The muse 2023 multimodal sentiment analysis challenge: Mimicked emotions, cross-cultural humour, and personalisation
The Multimodal Sentiment Analysis Challenge (MuSe) 2023 is a set of shared tasks
addressing three different contemporary multimodal affect and sentiment analysis problems …
addressing three different contemporary multimodal affect and sentiment analysis problems …
Enhancing traditional museum fruition: current state and emerging tendencies
Galleries, libraries, archives, and museums are nowadays striving to implement innovative
approaches to adequately use and distribute the wealth of knowledge found in cultural …
approaches to adequately use and distribute the wealth of knowledge found in cultural …
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 …
challenge, which is part of 6th Affective Behavior Analysis in-the-wild (ABAW) 2024. The EMI …
Multi-modal Arousal and Valence Estimation under Noisy Conditions
Automatic emotion recognition has gained significant attention over the past two decades
due to the central role that emotions play in human communication. While multi-modal …
due to the central role that emotions play in human communication. While multi-modal …
Facial emotion recognition with inter-modality-attention-transformer-based self-supervised learning
Emotion recognition is a very challenging research field due to its complexity, as individual
differences in cognitive–emotional cues involve a wide variety of ways, including language …
differences in cognitive–emotional cues involve a wide variety of ways, including language …
The MuSe 2024 Multimodal Sentiment Analysis Challenge: Social Perception and Humor Recognition
The Multimodal Sentiment Analysis Challenge (MuSe) 2024 addresses two contemporary
multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge …
multimodal affect and sentiment analysis problems: In the Social Perception Sub-Challenge …
Multimodal Cross-Lingual Features and Weight Fusion for Cross-Cultural Humor Detection
H Xie, J Cui, Y Cao, J Chen, J Tao, C Fan… - Proceedings of the 4th …, 2023 - dl.acm.org
Sentiment analysis plays a crucial role in interpreting human interactions across different
modalities. This paper addresses the Cross-Cultural Multilingual Humour Detection Sub …
modalities. This paper addresses the Cross-Cultural Multilingual Humour Detection Sub …
Vit-dd: Multi-task vision transformer for semi-supervised driver distraction detection
Ensuring traffic safety and mitigating accidents in modern driving is of paramount
importance, and computer vision technologies have the potential to significantly contribute to …
importance, and computer vision technologies have the potential to significantly contribute to …
Multimodal Sentiment Analysis via Efficient Multimodal Transformer and Modality-Aware Adaptive Training Strategy
C Ding, D Zong, B Li, S Zhang, X Zhu, G Zhong… - Proceedings of the 4th …, 2023 - dl.acm.org
In this paper, we present the solution to the MuSe-Mimic subchallenge of the 4th Multimodal
Sentiment Analysis Challenge. This sub-challenge aims to predict the level of approval …
Sentiment Analysis Challenge. This sub-challenge aims to predict the level of approval …