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8th ABAW 2025 : 8th Workshop and Competition on Affective & Behavior Analysis in-the-wild @ CVPR 2025 | |||||||||||||||
Link: https://affective-behavior-analysis-in-the-wild.github.io/8th | |||||||||||||||
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Call For Papers | |||||||||||||||
Dear Colleagues,
Please find below the invitation to contribute to the 8th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the IEEE Computer Vision and Pattern Recognition Conference (CVPR), 2025. (1): The Competition is split into the below six Challenges: i) Valence-Arousal Estimation Challenge ii) Expression Recognition Challenge iii) Action Unit Detection Challenge iv) Compound Expression Recognition Challenge v) Emotional Mimicry Intensity Estimation Challenge vi) Ambivalence/Hesitancy (AH) Recognition Challenge The first 3 Challenges are based on an augmented version of the Aff-Wild2 database; the 4th Challenge is based on C-EXPR-DB; the 5th Challenge is based on the Hume-Vidmimic2 dataset; the last Challenge is based on the Behavioural Ambivalence/Hesitancy dataset. 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 2025 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 2025 proceedings. Important Dates: - Call for participation announced, team registration begins, data available: 22 January, 2025 - Final submission deadline: 12 March, 2025 - Winners Announcement: 17 March, 2025 - Final paper submission deadline: 21 March, 2025 - Review decisions sent to authors; Notification of acceptance: 3 April, 2025 - Camera ready version deadline: 7 April, 2025 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Panagiotis Tzirakis, Hume AI Alan Cowen, Hume AI Eric Granger, École de technologie supérieure, Canada Marco Pedersoli, École de technologie supérieure, Canada Simon Bacon, Concordia University, Canada (2): The Workshop solicits contributions on cutting-edge advancements in analyzing, generating, modeling, and understanding human affect and behavior across multiple modalities, including facial expressions, body movements, gestures and speech. A special emphasis is placed on the integration of state-of-the-art systems designed for in-the-wild analysis, enabling research and applications in unconstrained environments. 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 CVPR 2025 proceedings. Important Dates: - Paper Submission Deadline: 21 March, 2025 - Review decisions sent to authors; Notification of acceptance: 3 April, 2025 - Camera ready version 7 April, 2025 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Cogitat Ltd, UK Panagiotis Tzirakis, Hume AI Alan Cowen, Hume AI Eric Granger, École de technologie supérieure, Canada Marco Pedersoli, École de technologie supérieure, Canada Simon Bacon, Concordia University, Canada In case of any queries, please contact d.kollias@qmul.ac.uk |
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