Face-research-list April 2023

face-research-list@lists.stir.ac.uk

3 participants
6 discussions

(CfP) CVPR 2023: 5th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)

by Dimitrios Kollias

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 ========================================================================

7 months, 2 weeks

note on bias, ability and the lack of correlation between match and mismatch

by Peter Hancock

Dear colleagues, I've written a short note relating to a simulation I ran to clarify my muddy thinking about the effects of bias (towards match or mismatch) in face matching experiments and the way that principal components analysis separates match and mismatch items into different components. I can't see it making a published paper but I figure others may find it useful, so I've put it up on psyarxiv: https://psyarxiv.com/f2a9j Bottom line: when participants vary in bias and ability independently, PCA tends to separate match and mismatch trials, especially after varimax rotation. The (not very elegant) matlab simulation code is on OSF, linked from the paper. Comments welcome, to me rather than the whole list. 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

1 year, 6 months

📣 ONE DAY REMAINING 📣 Social AI CDT: Call for PhD Scholarship Applications 2023 [Final Call]

by SOCIAL CDT

1 year, 8 months

📣 ONE WEEK REMAINING 📣 Social AI CDT: Call for PhD Scholarship Applications 2023

by SOCIAL CDT

1 year, 8 months

📣 TWO WEEKS REMAINING 📣 Social AI CDT: Call for PhD Scholarship Applications 2023

by SOCIAL CDT

1 year, 8 months

Two postdoctoral positions at NYU Abu Dhabi (Center for Brain and Health)

by Olivia Cheung

The Center of Brain and Health at New York University Abu Dhabi seeks to recruit two postdoctoral associates for two projects: 1) a project on the mechanisms underlying rapid perception and cognition, and 2) a project on the neural mechanisms underlying interactions of visual and conceptual systems. *Project 1: Mechanisms underlying rapid perception and cognition* *(PI: Prof. David Melcher, Perception and Active Cognition Laboratory)* Attention, perception, working memory and other aspects of cognition are limited by time constraints that are linked to the temporal scales of neural activity. On the one hand, we can find general principles linking ongoing brain rhythms to the temporal unfolding of thought, from the sampling rate of sensory perception to the maintenance of active representations in memory. However, there are also large individual differences in processing speed within the healthy adult population, across the developmental lifespan, and when considering clinical and neurological patient groups. The successful applicant will drive a fascinating project on the neural correlates of these individual and clinical differences in speed of information processing. *Project 2: Neural mechanisms underlying interactions of visual and conceptual systems* *(PI: Prof. Olivia Cheung, Objects And Knowledge Laboratory)* High-level vision, which involves transforming visual inputs into meaningful concepts such as faces, words, animals, human-made objects, and scenes, is essential for humans to understand and interact with their environment. This process relies on a cortical network that supports perception, learning, memory, and prediction. The study of high-level vision provides a window into how learning and experience impact the human brain. The successful applicant will lead a project investigating the complex nature of semantic associations and image statistics on category selectivity, using machine learning and multivariate pattern analysis techniques. To distinguish the cortical networks and behavioral markers that are common across categories or unique to specific categories, the project involves characterizing the similarities and differences in the processing of multiple categories in healthy and clinical populations. The positions are funded for two years with the possibility of renewal. Required expertise includes strong knowledge of cognitive neuroscience and expertise in at least one of the neuroimaging methodologies involved in the project (fMRI, EEG or MEG). For a competitive application at the postdoctoral level, candidates should demonstrate experience in leading neuroimaging studies, as shown by publications in international scientific journals. The successful candidates will work in a multidisciplinary Center environment with world-class research infrastructure, consisting of PhD-level scientists, graduate students and undergraduate students. The terms of employment are extremely competitive and include housing and educational subsidies for children. Applications will be accepted immediately and candidates will be considered until the positions are filled. For more information and to apply via Interfolio: https://apply.interfolio.com/120844 (Project 1) https://apply.interfolio.com/122830 (Project 2)

1 year, 8 months

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Face-research-list April 2023