[iva] (CfP) ECCV 2022: 4th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)

[Dimitrios Kollias]

Dear Colleagues,

Please find below the invitation to contribute to the 4th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the European Conference on Computer Vision (ECCV), 2022.


(1): The Competition is split into two Challenges, which are based on Aff-Wild2 database (an audiovisual in-the-wild database of 564 videos of around 2.8M frames), which is the first comprehensive benchmark annotated for different affective tasks (dimensional and categorical ones). The two Challenges are:


  *
Multi-Task-Learning Challenge   (three tasks are considered: i) valence-arousal estimation, ii) expression recognition and iii) action unit detection; a static version of Aff-Wild2 database is used)
  *   Learning from Synthetic Data Challenge  (the task considered is basic expression recognition; the data used are generated from Aff-Wild2)

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 ECCV 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 ECCV 2022 proceedings.

More information about the Competition can be found here<https://ibug.doc.ic.ac.uk/resources/eccv-2023-4th-abaw/>.


Important Dates:


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

18 May, 2022

  *   Final submission deadline:

20 July, 2022

  *   Winners Announcement:

22 July, 2022

  *   Final paper submission deadline:



27 July, 2022

  *   Review decisions sent to authors; Notification of acceptance:



 17 August, 2022

  *   Camera ready version deadline:



 22 August, 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) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for the afore mentioned cases

xvi) subgroup distribution shift analysis in affect recognition

xvii) subgroup distribution shift analysis in face and body behaviour

xviii) subgroup distribution shift analysis in characteristic analysis



Accepted workshop papers will appear at ECCV 2022 proceedings.


Important Dates:


Paper Submission Deadline:                                                          27 July, 2022

Review decisions sent to authors; Notification of acceptance:      17 August, 2022

Camera ready version                                                                    22 August, 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 at qmul.ac.uk<mailto:d.kollias at qmul.ac.uk>




Kind Regards,
Dimitrios Kollias,
on behalf of the organising committee



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Dr Dimitrios Kollias, PhD, MIEEE, FHEA

Lecturer (Assistant Professor) in Artificial Intelligence

Member of Multimedia and Vision (MMV) research group

Member of Queen Mary Computer Vision Group

Associate Member of Centre for Advanced Robotics (ARQ)
Academic Fellow of Digital Environment Research Institute (DERI)

School of EECS

Queen Mary University of London

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