(CfP) ECCV 2026: 11th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)

Dear Colleagues,

Please find below the invitation to contribute to the<https://affective-behavior-analysis-in-the-wild.github.io/11th> <https://affective-behavior-analysis-in-the-wild.github.io/11th> 11<https://affective-behavior-analysis-in-the-wild.github.io/11th>th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW)<https://affective-behavior-analysis-in-the-wild.github.io/11th> to be held in conjunction with European Conference on Computer Vision (ECCV), 2026.


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

  *
Multi-Task Learning Challenge
  *
Ambivalence/Hesitancy (AH) Video Recognition Challenge

The first Challenge is based on a static version of the Aff-Wild2 database; the second is based on the BAH dataset. More details can be found here<https://affective-behavior-analysis-in-the-wild.github.io/11th>.

All accepted papers from the Competition will be part of the ECCV 2026 proceedings.



Important Dates:

Team registration begins:                                                               25 May, 2026

Final submission deadline:                                                            16 July, 2026

Winners Announcement:                                                               18 July, 2026

Paper Submission Deadline:                                                         20 July, 2026

Review decisions sent to authors; Notification of acceptance:     10 August, 2026

Camera ready version                                                                  15 August, 2026




(2): The Workshop is a premier platform highlighting the latest advancements in multimodal analysis, generation, modeling, and understanding of human affect and behavior in real-world, unconstrained environments.

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) behaviour-aware, affective and social robotics

xviii) human-robot interaction, collaboration and communication

xix) robot perception of human affect, behaviour, intention, attention and social signals

xx) embodied AI agents, assistive robots and socially interactive robots

xxi) violence detection

xxii) autonomous driving

xxiii) domain adaptation, domain generalisation, few- or zero-shot learning for the above cases

xxiv) fairness, explainability, interpretability, trustworthiness, privacy-awareness, bias mitigation and/or subgroup distribution shift analysis for the above cases

xxv) 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 2026 proceedings.


Important Dates:

Paper Submission Deadline:                                                          20 July, 2026

Review decisions sent to authors; Notification of acceptance:      10 August, 2026

Camera ready version                                                                    15 August, 2026



General Chair:
Dimitrios Kollias (Queen Mary University of London, UK)


Program Chairs:
Stefanos Zafeiriou (Imperial College London, UK)

Irene Kotsia (Cogitat Ltd, UK)

Eric Granger (École de technologie supérieure, Canada)

Marco Pedersoli (École de technologie supérieure, Canada)

Simon Bacon (Concordia University, Canada)

Oya Celiktutan (King’s College London, UK)


In case of any queries, please contact [email protected]<mailto:[email protected]>



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



========================================================================

Dr Dimitrios Kollias, PhD, FHEA, M-IEEE, M-BMVA, M-AAAI, M-ACM, M-TCPAMI, AM-IAPR

Associate Professor in Multimodal AI, School of EECS, Queen Mary University of London

Program Director, MSc in Machine Learning for Visual Data Analytics


Affiliations:

Centres:   Multimodal AI | Fundamentals of AI & Computational Theory |

                 Human Centred Computing | Predictive in vitro Models | Advanced Robotics

Groups:    Multimedia & Vision | Computer Vision

Institutes:  Digital Environment Research Institute | Early Life Research Institute

ITP registry Steering Committee Member
SPRITE+ Expert Fellow

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