FG-2020 Workshop "Affect Recognition in-the-wild: Uni/Multi-Modal Analysis & VA-AU-Expression Challenges"


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The Workshop: Affect Recognition in-the-wild: Uni/Multi-Modal Analysis & VA-AU-Expression Challenges, will be held in conjunction with the IEEE International Conference on Automatic Face and Gesture Recognition (FG) 2020, in Buenos Aires, Argentina, 18-22 May 2020.


For any requests or enquiries, please contact: dimitrios.kollias15@imperial.ac.uk 




Stefanos Zafeiriou, Imperial College London, UK                                s.zafeiriou@imperial.ac.uk

Dimitrios Kollias, Imperial College London, UK                                   dimitrios.kollias15@imperial.ac.uk          

Attila Schulc,  Realeyes  - Emotional Intelligence                                attila.schulc@realeyesit.com   



This workshop aims at advancing the state-of-the-art in the problem of analysis of human affective behavior in-the-wild. Representing human emotions has been a basic topic of research. The most frequently used emotion representation is the categorical one, including the seven basic categories, i.e., Anger, Disgust, Fear, Happiness, Sadness, Surprise and Neutral. Discrete emotion representation can also be described in terms of the Facial Action Coding System model, in which all possible facial actions are described in terms of Action Units (AUs). Finally, the dimensional model of affect has been proposed as a means to distinguish between subtly different displays of affect and encode small changes in the intensity of each emotion on a continuous scale. The 2-D Valence and Arousal Space (VA-Space) is the most usual dimensional emotion representation; valence shows how positive or negative an emotional state is, whilst arousal shows how passive or active it is.

The workshop is composed of the following: At first, it contains three Challenges, which are based, for the first time, on the same database; these target (i) dimensional affect recognition (in terms of valence and arousal), (ii) categorical affect classification (in terms of the seven basic emotions) and (iii) facial action unit detection, in -the-wild. These Challenges will produce a significant step forward when compared to previous events. In particular, they use the Aff-Wild2, the first comprehensive benchmark for all three affect recognition tasks in-the-wild. In addition, the Workshop does not only focus on the three Challenges. It will solicit any original paper on databases, benchmarks and technical contributions related to affect recognition, using audio, visual or other modalities (e.g., EEG), in unconstrained conditions. Either uni-modal, or multi-modal approaches will be considered. It would be of particular interest to see methodologies that study detection of action units based on audio data.


Call for participation: 

In summary, the proposed Workshop on affect recognition:

  •  includes 3 Challenges on:
         i) Valence-Arousal estimation,
         ii) Action Unit detection and
         iii) 7 Basic Expression classification;
  • welcomes contributions in the following topics:
       (a) databases for spontaneous and naturalistic:
               i) facial expression or micro-expression analysis, or
               ii) facial action unit detection, or
              iii) valence-arousal estimation, ”in the-wild”.
       (b) methodologies for:
               i) facial expression or micro-expression analysis, or
               ii) facial action unit detection, or
              iii) valence-arousal estimation, ”in the wild”;
     The methodologies can use uni-modal or multi-modal information (e.g., visual, audio data, hand and body gestures, EEG, EDA)
       (c) methodologies for action unit prediction from audio (e.g., using Aff-Wild2, which is an audiovisual database)
       (d) domain-adaptation techniques for the above described behavior tasks (either using Aff-Wild2, or any other database, or combination of databases).


Accepted workshop papers will appear at IEEE FG 2020 proceedings.


Important Dates: 

  • Paper Submission Deadline:          
1 February, 2020
  • Decisions to Authors:
14 February, 2020
  • Camera ready version:
28 February, 2020




Sumbission Information

More details will follow. To be announced



Program Committee

More details will follow. To be announced



The Affective Behavior Analysis in-the-wild Challenge has been generously supported by: 
Imperial College London
Realeyes - Emotional Intelligence