Dear All, Please find below the invitation to contribute to the 2nd Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW) to be held in conjunction with the International Conference on Computer Vision (ICCV) 2021. (1): The Competition is split into three Challenges-Tracks, which are based on the same database, Aff-Wild2, which is the first comprehensive benchmark for the three affect recognition tasks in-the-wild: * dimensional affect recognition (valence and arousal estimation) * categorical affect classification (seven basic expression classification) * facial action unit detection Aff-Wild2 is an audiovisual in-the-wild database of 564 videos of around 2.8M frames. Participants are invited to participate in one or more of these Challenges. There will be one winner per Challenge-Track; the winners are expected to contribute a paper describing their approach, methodology and results; the accepted winning papers will be part of the ICCV 2021 proceedings; all other teams are also able to submit a paper describing their solutions and final results; the accepted papers will be part of the ICCV 2021 proceedings. For more information about the challenge, see here<https://ibug.doc.ic.ac.uk/resources/iccv-2021-2nd-abaw/>. Important Dates: * Call for participation announced, team registration begins, data available: 12 May, 2021 * Final submission deadline: 10 July, 2021 * Winners Announcement: 11 July, 2021 * Final paper submission deadline: 21 July, 2021 * Review decisions sent to authors; Notification of acceptance: 10 August, 2021 * Camera ready version deadline: 17 August, 2021 Chairs: Dimitrios Kollias, University of Greenwich, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Middlesex University London, 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. 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 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) Accepted papers will appear at ICCV 2021 proceedings. Important Dates: Paper Submission Deadline: 21 July, 2021 Review decisions sent to authors; Notification of acceptance: 10 August, 2021 Camera ready version 17 August, 2021 Accepted workshop papers will appear at ICCV 2021 proceedings. Chairs: Dimitrios Kollias, University of Greenwich, UK Stefanos Zafeiriou, Imperial College London, UK Irene Kotsia, Middlesex University London, UK Elnar Hajiyev, Realeyes - Emotional Intelligence In case of any queries, please contact D.Kollias(a)greenwich.ac.uk Kind Regards, Dimitrios Kollias, on behalf of the organising committee =================================================== Dr Dimitrios Kollias Senior Lecturer in Computer Science (Artificial Intelligence) School of Computing and Mathematical Sciences University of Greenwich ==================================================== University of Greenwich, a charity and company limited by guarantee, registered in England (reg no. 986729). Registered Office: Old Royal Naval College, Park Row, Greenwich SE10 9LS.