Dear Colleagues, Please find below the invitation to contribute to the 9th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW<https://affective-behavior-analysis-in-the-wild.github.io/9th/>) to be held in conjunction with the International Conference on Computer Vision (ICCV), 2025. (1): The Competition is split into the below three Challenges: * Valence-Arousal Estimation Challenge * Compound Expression Recognition Challenge * Fine-Grained Violence Detection Challenge The first Challenge is based on an augmented version of the Aff-Wild2 database; the 2nd Challenge is based on the C-EXPR-DB database; and the 3rd Challenge is based on the DVD Database. More details can be found here<https://affective-behavior-analysis-in-the-wild.github.io/9th>. All accepted papers from the Competition will be part of the ICCV 2025 proceedings. Important Dates: Call for Participation Announced, Team Registration Begins, Data Available: 3 June, 2025 Final Submission Deadline: 3 July, 2025 Winners Announcement: 5 July, 2025 Final Paper Submission Deadline: 8 July, 2025 Review Decisions Sent to Authors / Notification of Acceptance: 12 August, 2025 Camera-Ready Version Deadline: 18 August, 2025 (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) 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 All accepted papers from the Workshop will be part of the ICCV 2025 proceedings. Important Dates: Paper Submission Deadline: 8 July, 2025 Review Decisions Sent to Authors / Notification of Acceptance: 12 August, 2025 Camera-Ready Version Deadline: 18 August, 2025 General Chair: Dimitrios Kollias (Queen Mary University London) Program Chairs: Stefanos Zafeiriou (Imperial College London) Irene Kotsia (Cogitat Ltd) Greg Slabaugh (Queen Mary University London) In case of any queries about the Competition or the Workshop, please contact d.kollias@qmul.ac.uk<mailto:d.kollias@qmul.ac.uk> Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, FHEA, M-IEEE, M-BMVA, M-AAAI, M-TCPAMI, AM-IAPR Lecturer (Assistant Professor) in Artificial Intelligence Member of Centre for Multimodal AI Affiliate Member of Centre for Human Centred Computing Member of Multimedia and Vision Group Member of Queen Mary Computer Vision Group Associate Member of Centre for Advanced Robotics Academic Fellow of Digital Environment Research Institute School of EECS Queen Mary University of London ========================================================================