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July 2023

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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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Three tenured positions in Computational Social Interaction Research @ U Glasgow, Scotland
by Rachael Jack 27 Jul '23

27 Jul '23

Dear colleagues *Please share; excuse any cross-posting* We are delighted to announce three full-time *tenured* positions in the Centre for Social, Cognitive and Affective Neuroscience (cSCAN), School of Psychology & Neuroscience, University of Glasgow, Scotland. cSCAN members operate in a research-rich capacity, with teaching-rich staff leading in the innovation and delivery of education. * Full Professor/Associate Prof (Senior Lecturer)/Assistant Prof (Lecturer) * Assistant Prof (Lecturer) We are seeking interdisciplinary researchers with internationally competitive research using innovative approaches to the computational modelling of social perception, cognition, interaction, and/or communication, with a focus on dynamic signalling, dyadic interactions, and/or dialogue in human-human and/or human-agent interactions. * Research Fellow We are seeking a researcher who will make a leading contribution to develop social interaction and communication technologies, including technologies to generate 3D dynamic human social signals, such as facial expressions, body movements, and voices, multimodal signals and dyadic interactions, plus 3D scenes and other socially related multimodal signals, the use and development of AI-related technologies to support these developments. See our Nature Careers listing: https://www.nature.com/naturecareers/job/12803261/professor-senior-lecturer… and Twitter post: https://twitter.com/UofG_cSCAN/status/1683499306479755276?s=20 Closing date: 31 October 2023 Questions? Get in touch! Prof. Rachael E. Jack, Ph.D. Professor of Computational Social Cognition School of Psychology & Neuroscience University of Glasgow Scotland, G12 8QB +44 (0) 141 330 5087 [cid:11880D74-6D34-4656-B001-CB0A0540DFA1]

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