AVEC 2014: 3D Dimensional Affect and Depression Recognition Challenge
By Michel François Valstar, Björn Schuller, Kirsty Smith, Timur R. Almaev, Florian Eyben, Jarek Krajewski, R. Cowie, Maja Pantic. AVEC '14, 2014
543 citations recorded by the source corpus.
Subfields: Cognitive Neuroscience, Experimental and Cognitive Psychology
View Paper: https://www.semanticscholar.org/paper/e6d850a9e31799460a3c71c4addfbcd106755630
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Cognitive Neuroscience
- Ali Mollahosseini
- Louis-philippe Morency
- Athanasios Papaioannou
- Björn Schuller
- Mohammad H. Mahoor
- Mihalis A. Nicolaou
- Irene Kotsia
- Guoying Zhao
In Experimental and Cognitive Psychology
- Louis-philippe Morency
- Amir Zadeh
- Stefanos P. Zafeiriou
- Dimitrios Kollias
- Soujanya Poria
- Björn Schuller
- Behzad Hasani
- Ali Mollahosseini
Citations in the corpus
- AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild (2017, background): “Audio-Visual Emotion recognition Challenge (AVEC) series of competitions [36], [37], [38], [39], [40], [41] pro-”
- Annual Research Review: Digital health interventions for children and young people with mental health problems – a systematic and meta‐review (2017, background): “Developments in virtual reality, artificial intelligence and machine learning are creating ‘virtual human’ agents that, in the next generation of DHIs, could act as automated, interactive coaches to support personalised delivery of DHIs (Valstar et al., 2014).”
- Aff-Wild: Valence and Arousal ‘In-the-Wild’ Challenge (2017, background): “Nevertheless, AVEC uses only data captured in controlled conditions and under very specific scenarios.”
- A review of depression and suicide risk assessment using speech analysis (2015, background): “Many participants in AVEC 2014 found the freeform data offered greater predictor performance over the read passage (Gupta et al., 2014; Pérez et al., 2014; Senoussaoui et al., 2014; Sidorov and Minker, 2014; Valstar et al., 2014).”
- MOSI: Multimodal Corpus of Sentiment Intensity and Subjectivity Analysis in Online Opinion Videos (2016, background): “More recently, many challenges have been organized focusing on the recognition of emotions using audio and visual cues (Dhall et al., 2014; Valstar et al., 2014), which brings the participation of many teams from around the world.”
- Deep Affect Prediction in-the-Wild: Aff-Wild Database and Challenge, Deep Architectures, and Beyond (2018, background): “One such example is the Au-dio/Visual Emotion Challenges (AVEC) series [43, 44, 55, 57,58] which started in 2011.”