Emotiw 2020: Driver gaze, group emotion, student engagement and physiological signal based challenges
This paper introduces the Eighth Emotion Recognition in the Wild (EmotiW) challenge.
EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International …
EmotiW is a benchmarking effort run as a grand challenge of the 22nd ACM International …
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 …
Multimodal Sentiment Analysis Challenge 2023. The task of MuSe-Personalisation aims 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 …
X-aware: Context-aware human-environment attention fusion for driver gaze prediction in the wild
Reliable systems for automatic estimation of the driver's gaze are crucial for reducing the
number of traffic fatalities and for many emerging research areas aimed at developing …
number of traffic fatalities and for many emerging research areas aimed at developing …
Comparing biosignal and acoustic feature representation for continuous emotion recognition
Automatic recognition of human emotion has a wide range of applications. Human emotions
can be identified across different modalities, such as biosignal, speech, text, and mimics …
can be identified across different modalities, such as biosignal, speech, text, and mimics …
Multimodal sentiment analysis based on recurrent neural network and multimodal attention
Automatic estimation of emotional state has a wide application in human-computer
interaction. In this paper, we present our solutions for the MuSe-Stress and MuSe-Physio …
interaction. In this paper, we present our solutions for the MuSe-Stress and MuSe-Physio …
EVAC 2024–Empathic Virtual Agent Challenge: Appraisal-based Recognition of Affective States
As autonomous interactive agents become increasingly prevalent, it is crucial for these
virtual agents to understand and respond to both our verbal content and emotions, enabling …
virtual agents to understand and respond to both our verbal content and emotions, enabling …
Learning aligned audiovisual representations for multimodal sentiment analysis
C Ding, D Zong, B Li, K Zheng, D Zhou, J Li… - Proceedings of the 1st …, 2023 - dl.acm.org
In this paper, we present the solutions to the MER-SEMI subchallenge of Multimodal
Emotion Recognition Challenge (MER 2023). This subchallenge focuses on predicting …
Emotion Recognition Challenge (MER 2023). This subchallenge focuses on predicting …
Multi-modal stress recognition using temporal convolution and recurrent network with positional embedding
Chronic stress causes cancer, cardiovascular disease, depression, and diabetes, therefore,
it is profoundly harmful to physiologic and psychological health. Various works have …
it is profoundly harmful to physiologic and psychological health. Various works have …
Multimodal fusion with attention mechanism for trustworthiness prediction in car advertisements
In this paper, we present our approach to estimate the trustworthiness intensity, a kind of
affective state, in advertisements. Our method explored multi-modal (audio, video, text) …
affective state, in advertisements. Our method explored multi-modal (audio, video, text) …