AVEC 2017: Real-life Depression, and Affect Recognition Workshop and Challenge
By Fabien Ringeval, Björn Schuller, Michel François Valstar, Jonathan Gratch, R. Cowie, Stefan Scherer, S. Mozgai, Nicholas Cummins, Maximilian Schmitt, Maja Pantic. AVEC@ACM Multimedia, 2017
361 citations recorded by the source corpus.
Subfields: Experimental and Cognitive Psychology, Social Psychology
View Paper: https://www.semanticscholar.org/paper/c4e606b70396508b59c977871953a33c2569e5af
How researchers see this paper
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In Experimental and Cognitive Psychology
- Stefanos P. Zafeiriou
- Dimitrios Kollias
- Maja Pantic
- Björn Schuller
- Michel François Valstar
- Mihalis A. Nicolaou
- Guoying Zhao
- Weihong Deng
In Social Psychology
- Maja Pantic
- Björn Schuller
- Mohammad Soleymani
- Guoying Zhao
- Michel François Valstar
- Stefanos P. Zafeiriou
- Dimitrios Kollias
- Fabien Ringeval
Citations in the corpus
- Deep Facial Expression Recognition: A Survey (2018, background): “For example, participants in the EmotiW challenges and Audio Video Emotion Challenges (AVEC) [240], [241] considered the audio model to be the second most important element and employed various fusion techniques for multimodal FER.”
- Expression, Affect, Action Unit Recognition: Aff-Wild2, Multi-Task Learning and ArcFace (2019, methodology): “Evaluation Metrics CCC, defined in eq.3 is used for VA estimation, as it has been the evaluation criterion in all related Challenges [20, 34].”
- Automated assessment of psychiatric disorders using speech: A systematic review (2019, methodology): “More studies have been carried out in MDD, PTSD, and bipolar disorder thanks to open-access research data sets provided by AVEC competitions 60-64 and the DAIC data set.”
- AVEC 2019 Workshop and Challenge: State-of-Mind, Detecting Depression with AI, and Cross-Cultural Affect Recognition (2019, methodology): “mator (EWE)-based approach that was used in the last two editions of AVEC [47, 51].”
- Multimodal Continuous Emotion Recognition with Data Augmentation Using Recurrent Neural Networks (2018, methodology): “The AVEC explores the influence of physiological modality in AVEC 2015 [8] and AVEC 2016 [9], then introduces textual modality in AVEC 2017 [10].”
- Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2018, methodology): “One such example is the Audio/Visual Emotion Challenges (AVEC) series [42, 43, 55, 57,58] which started in 2011.”