Imperial College London
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ProfessorBjoernSchuller

Faculty of Engineering, Department of Computing

Professor of Artificial Intelligence
 
 
 
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Contact

 

+44 (0)20 7594 8357bjoern.schuller Website

 
 
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Location

 

574Huxley BuildingSouth Kensington Campus

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Summary

 

Publications

Citation

BibTex format

@article{Ringeval:2019:10.1145/3347320.3357688,
author = {Ringeval, F and Schuller, B and Valstar, M and Cummins, N and Cowie, R and Tavabi, L and Schmitt, M and Alisamir, S and Amiriparian, S and Eva-Maria, Messner and Song, S and Liu, S and Zhao, Z and Mallol-Ragolta, A and Ren, Z and Soleymani, M and Pantic, M},
doi = {10.1145/3347320.3357688},
journal = {AVEC 2019 - Proceedings of the 9th International Audio/Visual Emotion Challenge and Workshop, co-located with MM 2019},
pages = {3--12},
title = {AVEC 2019 workshop and challenge: State-of-mind, detecting depression with ai, and cross-cultural affect recognition},
url = {http://dx.doi.org/10.1145/3347320.3357688},
year = {2019}
}
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RIS format (EndNote, RefMan)

TY  - JOUR
AB  - The Audio/Visual Emotion Challenge and Workshop (AVEC 2019) "State-of-Mind, Detecting Depression with AI, and Cross-cultural Affect Recognition" is the ninth competition event aimed at the comparison of multimedia processing and machine learning methods for automatic audiovisual health and emotion analysis, with all participants competing strictly under the same conditions. The goal of the Challenge is to provide a common benchmark test set for multimodal information processing and to bring together the health and emotion recognition communities, as well as the audiovisual processing communities, to compare the relative merits of various approaches to health and emotion recognition from real-life data. This paper presents the major novelties introduced this year, the challenge guidelines, the data used, and the performance of the baseline systems on the three proposed tasks: state-of-mind recognition, depression assessment with AI, and cross-cultural affect sensing, respectively.
AU  - Ringeval,F
AU  - Schuller,B
AU  - Valstar,M
AU  - Cummins,N
AU  - Cowie,R
AU  - Tavabi,L
AU  - Schmitt,M
AU  - Alisamir,S
AU  - Amiriparian,S
AU  - Eva-Maria,Messner
AU  - Song,S
AU  - Liu,S
AU  - Zhao,Z
AU  - Mallol-Ragolta,A
AU  - Ren,Z
AU  - Soleymani,M
AU  - Pantic,M
DO  - 10.1145/3347320.3357688
EP  - 12
PY  - 2019///
SP  - 3
TI  - AVEC 2019 workshop and challenge: State-of-mind, detecting depression with ai, and cross-cultural affect recognition
T2  - AVEC 2019 - Proceedings of the 9th International Audio/Visual Emotion Challenge and Workshop, co-located with MM 2019
UR  - http://dx.doi.org/10.1145/3347320.3357688
ER  -
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