Dear Colleagues,

Please find below the invitation to contribute to the 7th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the European Conference on Computer Vision (ECCV), 2024.


(1): The Competition is split into the below two Challenges:


A) 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)

B) Compound Expression Recognition Challenge (a part of C-EXPR-DB is used)

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 2024 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 2024 proceedings.



Important Dates:

- Call for participation announced, team registration begins, data available:
09 May 2024

- Final submission deadline:
18 July 2024

- Winners Announcement:
24 July 2024

- Final paper submission deadline:
29 July

- Notification of acceptance:
25 August

- Camera ready version deadline:
31 August



Chairs:

Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Irene Kotsia, Cogitat Ltd, UK
Abhinav Dhall, Flinders University, Australia
Shreya Ghosh, Curtin University, Australia



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

Original high-quality contributions, in terms of databases, surveys, studies, foundation models, techniques and methodologies (either uni-modal or multi-modal; uni-task or multi-task ones) are solicited on -but are not limited to- the following topics:
i) facial expression (basic, compound or other) or micro-expression analysis
ii) facial action unit detection
iii) valence-arousal estimation
iv) physiological-based (e.g.,EEG, EDA) affect analysis
v) face recognition, detection or tracking
vi) body recognition, detection or tracking
vii) gesture recognition or detection
viii) pose estimation or tracking
ix) activity recognition or tracking
x) lip reading and voice understanding
xi) face and body characterization (e.g., behavioral understanding)
xii) characteristic analysis (e.g., gait, age, gender, ethnicity recognition)
xiii) group understanding via social cues (e.g., kinship, non-blood relationships, personality)
xiv) video, action and event understanding
xv) digital human modeling
xvi) characteristic analysis (e.g., gait, age, gender, ethnicity recognition)
xvii) violence detection
xviii) autonomous driving
xix) domain adaptation, domain generalisation, few- or zero-shot learning for the above cases
xx) fairness, explainability, interpretability, trustworthiness, privacy-awareness, bias mitigation and/or subgroup distribution shift analysis for the above cases
xxi) editing, manipulation, image-to-image translation, style mixing, interpolation, inversion and semantic diffusion for all afore mentioned cases

Accepted workshop papers will appear at ECCV 2024 proceedings.


Important Dates:

- Paper Submission Deadline:
29 July 2024

- Review decisions sent to authors; Notification of acceptance:
25 August 2024

- Camera ready version
31 August 2024




Chairs:

Dimitrios Kollias, Queen Mary University of London, UK
Stefanos Zafeiriou, Imperial College London, UK
Irene Kotsia, Cogitat Ltd, UK
Abhinav Dhall, Flinders University, Australia
Shreya Ghosh, Curtin University, Australia



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