activity
20202023
most citedThe MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

42 citations · 62 across the 8 of their papers we have counts for

collaborators

9 papers

cs.LG2023★ 1 cited

The MuSe 2023 Multimodal Sentiment Analysis Challenge: Mimicked Emotions, Cross-Cultural Humour, and Personalisation

Lukas Christ, Shahin Amiriparian, Alice Baird +10

The MuSe 2023 is a set of shared tasks addressing three different contemporary multimodal affect and sentiment analysis problems: In the Mimicked Emotions Sub-Challenge (MuSe-Mimic…

cs.SD2023★ 1 cited

The ACM Multimedia 2023 Computational Paralinguistics Challenge: Emotion Share & Requests

Björn W. Schuller, Anton Batliner, Shahin Amiriparian +10

The ACM Multimedia 2023 Computational Paralinguistics Challenge addresses two different problems for the first time in a research competition under well-defined conditions: In the…

cs.CV2023★ 1 cited

ABAW: Valence-Arousal Estimation, Expression Recognition, Action Unit Detection & Emotional Reaction Intensity Estimation Challenges

Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird +2

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 and Pattern…

eess.AS2022

Proceedings of the ACII Affective Vocal Bursts Workshop and Competition 2022 (A-VB): Understanding a critically understudied modality of emotional expression

Alice Baird, Panagiotis Tzirakis, Jeffrey A. Brooks +5

This is the Proceedings of the ACII Affective Vocal Bursts Workshop and Competition (A-VB). A-VB was a workshop-based challenge that introduces the problem of understanding emotion…

cs.LG2022★ 42 cited

The MuSe 2022 Multimodal Sentiment Analysis Challenge: Humor, Emotional Reactions, and Stress

Lukas Christ, Shahin Amiriparian, Alice Baird +9

The Multimodal Sentiment Analysis Challenge (MuSe) 2022 is dedicated to multimodal sentiment and emotion recognition. For this year's challenge, we feature three datasets: (i) the…

eess.AS2022★ 2 cited

The ACII 2022 Affective Vocal Bursts Workshop & Competition: Understanding a critically understudied modality of emotional expression

Alice Baird, Panagiotis Tzirakis, Jeffrey A. Brooks +5

The ACII Affective Vocal Bursts Workshop & Competition is focused on understanding multiple affective dimensions of vocal bursts: laughs, gasps, cries, screams, and many other non-…

eess.AS2022★ 7 cited

The ICML 2022 Expressive Vocalizations Workshop and Competition: Recognizing, Generating, and Personalizing Vocal Bursts

Alice Baird, Panagiotis Tzirakis, Gauthier Gidel +7

The ICML Expressive Vocalization (ExVo) Competition is focused on understanding and generating vocal bursts: laughs, gasps, cries, and other non-verbal vocalizations that are centr…

cs.CL2020

GoEmotions: A Dataset of Fine-Grained Emotions

Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko +3

Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior. Advancement in this area can b…

cs.CV2020★ 8 cited

EEV: A Large-Scale Dataset for Studying Evoked Expressions from Video

Jennifer J. Sun, Ting Liu, Alan S. Cowen +3

Videos can evoke a range of affective responses in viewers. The ability to predict evoked affect from a video, before viewers watch the video, can help in content creation and vide…