Search Results for author: Alan Cowen

Found 8 papers, 5 papers with code

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

no code implementations2 Mar 2023 Dimitrios Kollias, Panagiotis Tzirakis, Alice Baird, Alan Cowen, Stefanos Zafeiriou

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 Recognition Conference (CVPR), 2023.

Action Unit Detection Arousal Estimation

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

3 code implementations7 Jul 2022 Alice Baird, Panagiotis Tzirakis, Jeffrey A. Brooks, Christopher B. Gregory, Björn Schuller, Anton Batliner, Dacher Keltner, Alan Cowen

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-linguistic vocalizations central to the expression of emotion and to human communication more generally.

A-VB Culture A-VB High +2

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

1 code implementation23 Jun 2022 Lukas Christ, Shahin Amiriparian, Alice Baird, Panagiotis Tzirakis, Alexander Kathan, Niklas Müller, Lukas Stappen, Eva-Maria Meßner, Andreas König, Alan Cowen, Erik Cambria, Björn W. Schuller

For this year's challenge, we feature three datasets: (i) the Passau Spontaneous Football Coach Humor (Passau-SFCH) dataset that contains audio-visual recordings of German football coaches, labelled for the presence of humour; (ii) the Hume-Reaction dataset in which reactions of individuals to emotional stimuli have been annotated with respect to seven emotional expression intensities, and (iii) the Ulm-Trier Social Stress Test (Ulm-TSST) dataset comprising of audio-visual data labelled with continuous emotion values (arousal and valence) of people in stressful dispositions.

Emotion Recognition Humor Detection +1

GoEmotions: A Dataset of Fine-Grained Emotions

8 code implementations ACL 2020 Dorottya Demszky, Dana Movshovitz-Attias, Jeongwoo Ko, Alan Cowen, Gaurav Nemade, Sujith Ravi

Understanding emotion expressed in language has a wide range of applications, from building empathetic chatbots to detecting harmful online behavior.

Emotion Classification Transfer Learning

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