Dear All,

Please find below the invitation to contribute to the 3rd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the IEEE International Conference on Computer Vision and Pattern Recognition (CVPR), 2022.

 
(1): The Competition is split into four Challenges, which are based on Aff-Wild2 database (or a static version of it), which is the first comprehensive benchmark annotated for different affective tasks (dimensional and categorical ones). The four Challenges are:

  • Valence-Arousal Estimation Challenge
  • Expression Classification Challenge
  • Action Unit Detection Challenge
  • Multi-Task-Learning Challenge

Aff-Wild2 is an audiovisual in-the-wild database of 564 videos of around 2.8M frames.

Participants are invited to participate in at least one of these Challenges.
There will be one winner per Challenge; the top-3 performing teams of each Challenge will have to contribute paper(s) describing their approach, methodology and results to our Workshop; the accepted papers will be part of the CVPR 2022 proceedings; all other teams are also encouraged to submit paper(s) describing their solutions and final results; the accepted papers will be part of the CVPR 2022 proceedings.

More information about the Competition can be found here.


Important Dates:

  • Call for participation announced, team registration begins, data available:       

20 January, 2022

  • Final submission deadline:

16 March, 2022

  • Winners Announcement:      

18 March, 2022

  • Final paper submission deadline:                       
 

25 March, 2022

  • Review decisions sent to authors; Notification of acceptance:                     
 

 1 April, 2022

  • Camera ready version deadline:                                                                   
 

 8 April, 2022



Chairs:

Dimitrios Kollias, Queen Mary University of London, UK                                     

Stefanos Zafeiriou, Imperial College London, UK                              

Viktoriia Sharmanska, University of Sussex, UK                                

Elnar Hajiyev,  Realeyes  - Emotional Intelligence    





(2): The Workshop solicits contributions on the recent progress of recognition, analysis, generation and modelling of face, body, and gesture, while embracing the most advanced systems available for face and gesture analysis, particularly, in-the-wild (i.e., in unconstrained environments) and across modalities like face to voice. In parallel, this Workshop will solicit contributions towards building fair models that perform well on all subgroups and improve in-the-wild generalisation.

 

Original high-quality contributions, including:

 

- databases or

- surveys and comparative studies or

- Artificial Intelligence / Machine Learning / Deep Learning / AutoML / (Data-driven or physics-based) Generative

Modelling Methodologies (either Uni-Modal or Multi-Modal; Uni-Task or Multi-Task ones)

 

are solicited on the following topics:

 

i) "in-the-wild" facial expression or micro-expression analysis,

ii) "in-the-wild" facial action unit detection,

iii) "in-the-wild" valence-arousal estimation,

iv) "in-the-wild" physiological-based (e.g.,EEG, EDA) affect analysis,

v) domain adaptation for affect recognition in the previous 4 cases

vi) "in-the-wild" face recognition, detection or tracking,

vii) "in-the-wild" body recognition, detection or tracking,

viii) "in-the-wild" gesture recognition or detection,

ix) "in-the-wild" pose estimation or tracking,

x) "in-the-wild" activity recognition or tracking,

xi) "in-the-wild" lip reading and voice understanding,

xii) "in-the-wild" face and body characterization (e.g., behavioral understanding),

xiii) "in-the-wild" characteristic analysis (e.g., gait, age, gender, ethnicity recognition),

xiv) "in-the-wild" group understanding via social cues (e.g., kinship, non-blood relationships, personality) 

xv) subgroup distribution shift analysis in affect recognition

xvi) subgroup distribution shift analysis in face and body behaviour

xvii) subgroup distribution shift analysis in characteristic analysis

 

Accepted workshop papers will appear at CVPR 2022 proceedings.



Important Dates:


Paper Submission Deadline:                                                          25 March, 2022

Review decisions sent to authors; Notification of acceptance:      1 April, 2022

Camera ready version                                                                    8 April, 2022
 



Chairs:

Dimitrios Kollias, Queen Mary University of London, UK                                     

Stefanos Zafeiriou, Imperial College London, UK                              

Viktoriia Sharmanska, University of Sussex, UK                                

Elnar Hajiyev,  Realeyes  - Emotional Intelligence    

 



In case of any queries, please contact d.kollias@qmul.ac.uk




Kind Regards,

Dimitrios Kollias,
on behalf of the organising committee





Kind Regards,

Dimitris



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Dr Dimitrios Kollias

Lecturer (equivalent to Assistant Professor) in Artificial Intelligence

School of EECS

Queen Mary University of London

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