The nature and neurobiology of fear and anxiety: State of the science and opportunities for accelerating discovery
Fear and anxiety play a central role in mammalian life, and there is considerable interest in
clarifying their nature, identifying their biological underpinnings, and determining their …
clarifying their nature, identifying their biological underpinnings, and determining their …
Abaw: Valence-arousal estimation, expression recognition, action unit detection & emotional reaction intensity estimation challenges
Abstract The fifth Affective Behavior Analysis in-the-wild (ABAW) Competition is part of the
respective ABAW Workshop which will be held in conjunction with IEEE Computer Vision …
respective ABAW Workshop which will be held in conjunction with IEEE Computer Vision …
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 …
Muse 2023 challenge: Multimodal prediction of mimicked emotions, cross-cultural humour, and personalised recognition of affects
The 4th Multimodal Sentiment Analysis Challenge (MuSe) focuses on Multimodal Prediction
of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects …
of Mimicked Emotions, Cross-Cultural Humour, and Personalised Recognition of Affects …
Multimodal feature extraction and fusion for emotional reaction intensity estimation and expression classification in videos with transformers
In this paper, we present our advanced solutions to the two sub-challenges of Affective
Behavior Analysis in the wild (ABAW) 2023: the Emotional Reaction Intensity (ERI) …
Behavior Analysis in the wild (ABAW) 2023: the Emotional Reaction Intensity (ERI) …
Beyond Deep Learning: Charting the Next Frontiers of Affective Computing
Affective computing (AC), like most other areas of computational research, has benefited
tremendously from advances in deep learning (DL). These advances have opened up new …
tremendously from advances in deep learning (DL). These advances have opened up new …
Towards Multimodal Prediction of Spontaneous Humor: A Novel Dataset and First Results
Humor is a substantial element of human social behavior, affect, and cognition. Its automatic
understanding can facilitate a more naturalistic human-AI interaction. Current methods of …
understanding can facilitate a more naturalistic human-AI interaction. Current methods of …
Modality-invariant temporal representation learning for multimodal sentiment classification
Multimodal sentiment classification is a notable research field that aims to refine sentimental
information and classify the sentiment tendency from sequential multimodal data. Most …
information and classify the sentiment tendency from sequential multimodal data. Most …
Muse 2022 challenge: Multimodal humour, emotional reactions, and stress
The 3rd Multimodal Sentiment Analysis Challenge (MuSe) focuses on multimodal affective
computing. The workshop is held in conjunction with ACM Multimedia'22. Three datasets are …
computing. The workshop is held in conjunction with ACM Multimedia'22. Three datasets are …
Facernet: a facial expression intensity estimation network
This paper presents our approach for Facial Expression Intensity Estimation from videos. It
includes two components: i) a representation extractor network that extracts various emotion …
includes two components: i) a representation extractor network that extracts various emotion …