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January 2024

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(CfP) CVPR 2023: 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)
by Dimitrios Kollias 11 May '24

11 May '24

Dear Colleagues, Please find below the invitation to contribute to the 5th 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), 2023. (1): The Competition is split into the below four Challenges: * Valence-Arousal Estimation Challenge * Expression Classification Challenge * Action Unit Detection Challenge * Emotional Reaction Intensity Estimation Challenge The first 3 Challenges are based on an augmented version of the Aff-Wild2 database, which is an audiovisual in-the-wild database of 594 videos of 584 subjects of around 3M frames; it contains annotations in terms of valence-arousal, expressions and action units. The last Challenge is based on the Hume-Reaction dataset, which is a multimodal dataset of about 75 hours of video recordings of 2222 subjects; it contains continuous annotations for the intensity of 7 emotional experiences. 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 2023 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 2023 proceedings. More information about the Competition can be found here<https://ibug.doc.ic.ac.uk/resources/cvpr-2023-5th-abaw/>. Important Dates: * Call for participation announced, team registration begins, data available: 13 January, 2023 * Final submission deadline: 18 March, 2023 * Winners Announcement: 19 March, 2023 * Final paper submission deadline: 24 March, 2023 * Review decisions sent to authors; Notification of acceptance: 3 April, 2023 * Camera ready version deadline: 8 April, 2023 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Panagiotis Tzirakis, Hume AI Alice Baird, Hume AI Alan Cowen, Hume AI (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. In parallel, this Workshop will solicit contributions towards building fair models that perform well on all subgroups and improve in-the-wild generalisation. 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; Uni-Task or Multi-Task 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) xv) subgroup distribution shift analysis in affect recognition xvi) subgroup distribution shift analysis in face and body behaviour xvii) subgroup distribution shift analysis in characteristic analysis Accepted workshop papers will appear at CVPR 2023 proceedings. Important Dates: Paper Submission Deadline: 24 March, 2023 Review decisions sent to authors; Notification of acceptance: 3 April, 2023 Camera ready version 8 April, 2023 Chairs: Dimitrios Kollias, Queen Mary University of London, UK Stefanos Zafeiriou, Imperial College London, UK Panagiotis Tzirakis, Hume AI Alice Baird, Hume AI Alan Cowen, Hume AI In case of any queries, please contact d.kollias(a)qmul.ac.uk<mailto:d.kollias@qmul.ac.uk> Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, MIEEE, FHEA Lecturer (Assistant Professor) in Artificial Intelligence Member of Multimedia and Vision (MMV) research group Member of Queen Mary Computer Vision Group Associate Member of Centre for Advanced Robotics (ARQ) Academic Fellow of Digital Environment Research Institute (DERI) School of EECS Queen Mary University of London ========================================================================

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Pareidolia in Trees
by Peter Hancock 16 Jan '24

16 Jan '24

Ron Senack is a photographer who has amassed a collection of pictures of apparent faces in trees. He has a set of 30 'face' images and 30 controls that he is happy to share with anyone interested in using them for research. He has a facebook page https://www.facebook.com/ronsfacesintrees and an osf page https://osf.io/md8kp/ through which you can get in contact with him. Peter Peter Hancock (he/him) Professor Psychology, School of Natural Sciences University of Stirling FK9 4LA, UK phone 01786 467675 http://rms.stir.ac.uk/converis-stirling/person/11587 @pjbhancock Latest paper: Simulated automated facial recognition systems as decision-aids in forensic face matching tasks.<https://psycnet.apa.org/record/2023-24366-001?doi=1> https://psycnet.apa.org/doiLanding?doi=10.1037%2Fxge0001310 My messages may arrive outside of the working day but this does not imply any expectation that you should reply outside of your normal working hours. If you wish to respond, please do so when convenient. ________________________________ Scotland's University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159

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