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(CfP) CVPR 2025: 8th 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 8th Workshop and Competition on Affective & Behavior Analysis in-the-wild (ABAW)<https://affective-behavior-analysis-in-the-wild.github.io/8th/> 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: * Valence-Arousal Estimation Challenge * Expression Recognition Challenge * Action Unit Detection Challenge * Compound Expression Recognition Challenge * Emotional Mimicry Intensity Estimation Challenge * Ambivalence/Hesitancy (AH) Recognition Challenge The first 3 Challenges are based on an augmented version of the Aff-Wild2 database, which is an A/V 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 4th Challenge is based on C-EXPR-DB, which is an A/V in-the-wild database and in total consists of 400 videos of around 200K frames; each frame is annotated in terms of compound expressions. The 5th Challenge is based on the Hume-Vidmimic2 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. The last Challenge is based on the Behavioural Ambivalence/Hesitancy dataset, which is an A/V dataset of 630 videos of 5 hours duration of around 430K frames; it contains annotations in terms of presence and absence of ambivalence/hesitancy. 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. More information about the Competition can be found here<https://affective-behavior-analysis-in-the-wild.github.io/8th/#clients>. 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(a)qmul.ac.uk<mailto:d.kollias@qmul.ac.uk> Kind Regards, Dimitrios Kollias, on behalf of the organising committee ======================================================================== Dr Dimitrios Kollias, PhD, FHEA, M-IEEE, M-BMVA, M-AAAI, M-TCPAMI, AM-IAPR Lecturer (Assistant Professor) in Artificial Intelligence Member of Centre for Multimodal AI Affiliate Member of Centre for Human Centred Computing Member of Multimedia and Vision Group Member of Queen Mary Computer Vision Group Associate Member of Centre for Advanced Robotics Academic Fellow of Digital Environment Research Institute School of EECS Queen Mary University of London ========================================================================

1 month, 2 weeks

OPRC online talk 12th Feb

by Catriona.Havard

Dear all It seems the mail list stripped all the info from my previous email - hopefully this should work The first Open Psychology Research Centre (OPRC) online lecture of 2025 will be delivered by Louise Newbigging on the 12th from 7pm to 8pm. Details of the first talk are below, if you want to find out more and attend please register here.<https://events.teams.microsoft.com/event/f0b69663-f4a4-4a5b-baac-3879f4f5aa…> [A blue and yellow text on a blue background Description automatically generated] Do get in touch if you still have problems and want to register. All the best, Trina [Logo Description automatically generated] [cid:image003.png@01DB6730.CCEBACD0] [rule.png] Professor Catriona Havard Co-Director of the Open Psychology Research Centre (OPRC)<https://www.open.ac.uk/centres/psychology/> t: +44 (0) 1908 654554 | e: catriona.havard(a)open.ac.uk<mailto:catriona.havard@open.ac.uk> | w: www.open.ac.uk<http://www.open.ac.uk/>/people/ch22572 a: School of Psychology and Counselling, Faculty of Arts and Social Sciences The Open University, Walton Hall, Milton Keynes MK7 6AA [Icon Description automatically generated]<https://www.facebook.com/theopenuniversity/>[Icon Description automatically generated]<https://www.instagram.com/theopenuniversity/> [Icon Description automatically generated] <https://www.linkedin.com/school/6128/> [Icon Description automatically generated] <https://twitter.com/OpenUniversity> [When Face Recognition Goes Wrong]<https://www.taylorfrancis.com/books/mono/10.4324/9781003177128/face-recogni…>

1 month, 3 weeks

When face recognition goes wrong

by Catriona.Havard

Dear all Sorry for the blatant self-promotion, but I thought some of you might be interested in my new book 'When face recognition goes wrong' which came out this month. I've attached a flyer with a discount code and you can also request an inspection copy from here https://www.taylorfrancis.com/books/mono/10.4324/9781003177128/face-recogni… All the best, Trina [Logo Description automatically generated] [cid:image002.png@01DB246A.4F33CDD0] [rule.png] Professor Catriona Havard Co-Director of the Open Psychology Research Centre (OPRC)<https://www.open.ac.uk/centres/psychology/> t: +44 (0) 1908 654554 | e: catriona.havard(a)open.ac.uk<mailto:catriona.havard@open.ac.uk> | w: www.open.ac.uk<http://www.open.ac.uk/>/people/ch22572 a: School of Psychology and Counselling, Faculty of Arts and Social Sciences The Open University, Walton Hall, Milton Keynes MK7 6AA [Icon Description automatically generated]<https://www.facebook.com/theopenuniversity/>[Icon Description automatically generated]<https://www.instagram.com/theopenuniversity/> [Icon Description automatically generated] <https://www.linkedin.com/school/6128/> [Icon Description automatically generated] <https://twitter.com/OpenUniversity> [When Face Recognition Goes Wrong]<https://www.taylorfrancis.com/books/mono/10.4324/9781003177128/face-recogni…>

1 month, 3 weeks

Final call for paper deadline 8th Sep : ICPR 2024 2nd Workshop Fairness in Biometric Systems

by ABHIJIT DAS

*Final Call for Papers (**no more extension**)* I*CPR 2024: 2nd Workshop on- Call for Papers Fairness in Biometric Systems* Biometric systems have spread worldwide and therefore have been increasingly involved in critical decision-making processes, including finances, public security, and forensics. Despite their increasing impact on everybody’s daily life, many biometric solutions perform highly divergent for different groups of individuals, as previous works have shown. Consequently, the recognition performance of such systems is significantly impacted by demographic and non-demographic attributes of users. This brings to the fore discriminatory and unfair treatment of users of such systems. At the same time, several political regulations, such as Article 7 of the Universal Declaration of Human Rights and Article 71 of the General Data Protection Regulation (GDPR), have highlighted the importance of the right to non-discrimination. These political efforts show the pertinent need for analyzing and mitigating equability concerns in biometric systems. Given the increasing impact on everybody’s daily life, as well as the associated social interest, research on fairness in biometric solutions is urgently needed. This includes • Developing and analyzing biometric datasets • Proposing metrics related to equability in biometrics • Demographic and non-demographic factors in biometric systems • Investigating and mitigating equability concerns in biometric algorithms including o Identity verification and identification o Soft-biometric attribute estimation o Presentation attack detection o Template protection o Biometric image generation o Quality assessment *Important Dates* -------------------------------- Full Paper Submission: September 8, 2024 Acceptance Notice: September 20, 2024 Camera-Ready Paper: September 24, 2024 Workshop: December 01, 2024

6 months, 1 week

Deadline extended to 1st Sep : ICPR 2024 2nd Workshop Fairness in Biometric Systems

by ABHIJIT DAS

*Call for Papers* I*CPR 2024: 2nd Workshop on- Call for Papers Fairness in Biometric Systems* Biometric systems have spread worldwide and therefore have been increasingly involved in critical decision-making processes, including finances, public security, and forensics. Despite their increasing impact on everybody’s daily life, many biometric solutions perform highly divergent for different groups of individuals, as previous works have shown. Consequently, the recognition performance of such systems is significantly impacted by demographic and non-demographic attributes of users. This brings to the fore discriminatory and unfair treatment of users of such systems. At the same time, several political regulations, such as Article 7 of the Universal Declaration of Human Rights and Article 71 of the General Data Protection Regulation (GDPR), have highlighted the importance of the right to non-discrimination. These political efforts show the pertinent need for analyzing and mitigating equability concerns in biometric systems. Given the increasing impact on everybody’s daily life, as well as the associated social interest, research on fairness in biometric solutions is urgently needed. This includes • Developing and analyzing biometric datasets • Proposing metrics related to equability in biometrics • Demographic and non-demographic factors in biometric systems • Investigating and mitigating equability concerns in biometric algorithms including o Identity verification and identification o Soft-biometric attribute estimation o Presentation attack detection o Template protection o Biometric image generation o Quality assessment *Important Dates* -------------------------------- Full Paper Submission: September 1, 2024 Acceptance Notice: September 20, 2024 Camera-Ready Paper: September 24, 2024 Workshop: December 01, 2024 Best regards Abhijit ------------------ --------------------- ---- -------------------- *Prof.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR <https://appcair.com/applied-ai-faculty.html> Machine Intelligence Group <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home>Assistant Professor. Dept. of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus. Contact no: +914066303744 (O) Web: https://sites.google.com/site/dasabhijit2048/home *▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄*

6 months, 3 weeks

Submissions Open: APS Global Psychological Science Summit

by Rachael Jack

Dear colleagues The call for the APS Global Psychological Science Summit is now open! See below for details. Best [https://mcusercontent.com/9082cc31df19dd4e8c5bfb8e3/images/db40172b-4a84-c7…]<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> APS Global Psychological Science Summit | Virtual | October 23-24, 2024 We hope you’ve heard the exciting news - APS has opened the call for submissions for the inaugural APS Global Psychological Science Summit<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> taking place virtually on October 23-24, 2024. The summit will include plenary sessions, workshops, roundtable discussions, and an opportunity for your students to gain experience presenting their research. It will also be a great chance for you and your faculty colleagues to share your latest work with scientists from around the world. We’d also like to ask for your help in spreading the word about the Call for Submissions<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…>. Please forward this email to all students and colleagues who may be interested in submitting. See you online in October. Call for Submissions<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> Submit a standard poster, research proposal poster, or roundtable session by August 12, 2024. Standard Posters must only report data collection and analysis that has been completed by the time the submission is finalized. Research Proposal Posters should represent plans for a future empirical study. Data collection should not be complete. Roundtable Sessions are an opportunity for attendees to lead discussions on a particular topic with fellow attendees. Presenters can discuss empirical results, methods and tools, applications of psychological science, brainstorm a future research project, and more. [https://mcusercontent.com/9082cc31df19dd4e8c5bfb8e3/images/382ed94d-3886-72…]<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> Participation Assistance<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> [https://mcusercontent.com/9082cc31df19dd4e8c5bfb8e3/images/594a992b-98f5-87…]<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> Global Summit FAQs<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> [https://mcusercontent.com/9082cc31df19dd4e8c5bfb8e3/images/018d25a8-05bd-d4…]<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> Featured Speakers<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> APS Code of Conduct<https://psychologicalscience.us16.list-manage.com/track/click?u=9082cc31df1…> Copyright © 2024 Association for Psychological Science, All rights reserved. You're receiving this email because you're a member of the APS community Our mailing address: Association for Psychological Science 1800 Massachusetts Ave NW, Suite 402 Washington, DC 20036-1218 Add us to your address book<https://psychologicalscience.us16.list-manage.com/vcard?u=9082cc31df19dd4e8…> Want to change how you receive these emails? You can update your preferences<https://psychologicalscience.us16.list-manage.com/profile?u=9082cc31df19dd4…> or unsubscribe from this list<https://psychologicalscience.us16.list-manage.com/unsubscribe?u=9082cc31df1…>.

7 months, 3 weeks

Call for Papers: ICPR 2024 2nd Workshop Fairness in Biometric Systems

by ABHIJIT DAS

*Call for Papers* I*CPR 2024: 2nd Workshop on Fairness in Biometric Systems* Biometric systems have spread worldwide and therefore have been increasingly involved in critical decision-making processes, including finances, public security, and forensics. Despite their increasing impact on everybody’s daily life, many biometric solutions perform highly divergent for different groups of individuals, as previous works have shown. Consequently, the recognition performance of such systems is significantly impacted by demographic and non-demographic attributes of users. This brings to the fore discriminatory and unfair treatment of users of such systems. At the same time, several political regulations, such as Article 7 of the Universal Declaration of Human Rights and Article 71 of the General Data Protection Regulation (GDPR), have highlighted the importance of the right to non-discrimination. These political efforts show the pertinent need for analyzing and mitigating equability concerns in biometric systems. Given the increasing impact on everybody’s daily life, as well as the associated social interest, research on fairness in biometric solutions is urgently needed. This includes • Developing and analyzing biometric datasets • Proposing metrics related to equability in biometrics • Demographic and non-demographic factors in biometric systems • Investigating and mitigating equability concerns in biometric algorithms including o Identity verification and identification o Soft-biometric attribute estimation o Presentation attack detection o Template protection o Biometric image generation o Quality assessment Important Dates Workshop: December 01, 2024 Full Paper Submission: August 12, 2024 Acceptance Notice: September 20, 2024 Camera-Ready Paper: September 24, 2024

8 months

Postdoctoral position at NYU Abu Dhabi (High-level vision)

by Olivia Cheung

A postdoctoral researcher position is available at the Objects and Knowledge Laboratory, headed by Dr. Olivia Cheung, at NYU Abu Dhabi ( https://www.oliviacheunglab.org). The postdoctoral researcher will carry out experiments on high-level vision (e.g., object, face, letter, scene recognition) in humans using behavioral, fMRI, and computational methods. Potential research projects include, but are not limited to, investigations of the influences of experience and conceptual knowledge on visual recognition. Apply here: https://apply.interfolio.com/145342 Applicants must have a Ph.D. in Psychology, Cognitive Neuroscience, Cognitive Science, or a related field, and should possess strong programming skills (e.g., R, Matlab or Python) and a strong publication record in topics of high-level vision. Prior experience with fMRI, computational, or psychophysical techniques is highly preferred. Initial appointment is for two years, with the possibility of renewal. The start date is flexible, and the position is available from August 15, 2024. The Objects and Knowledge Laboratory is part of the rapidly growing expertise in Cognitive Neuroscience at NYU Abu Dhabi. The lab has access to the state-of-the-art neuroimaging and behavioral facilities (including MRI, MEG, EEG, eyetracking). For consideration, applicants should submit a cover letter, curriculum vita, statement of research interests, the expected date of availability, and at least 2 letters of recommendation here <https://apply.interfolio.com/145342>. Informal inquiries regarding the position, university, or area, are encouraged. If you have any questions, please email Dr. Olivia Cheung (olivia.cheung(a)nyu.edu). Applications will be accepted immediately, and candidates will be considered until the position is filled. The terms of employment are very competitive, including relocation and housing costs, and other benefits among which educational subsidies for children. The NYU Abu Dhabi campus is located on Saadiyat Island (Abu Dhabi’s cultural hub), minutes away from the white sand beaches as well as the world class entertainment, big city and nature activities that have made the area one of the top ten tourist destinations in the world. More information about living in Abu Dhabi can be found here: https://nyuad.nyu.edu/en/campus-life/living-in-abu-dhabi.html *About NYUAD:* NYU Abu Dhabi is a degree-granting research university with a fully integrated liberal arts and science undergraduate program in the Arts, Sciences, Social Sciences, Humanities, and Engineering. NYU Abu Dhabi, NYU New York, and NYU Shanghai, form the backbone of NYU’s global network university, an interconnected network of portal campuses and academic centers across six continents that enable seamless international mobility of students and faculty in their pursuit of academic and scholarly activity. This global university represents a transformative shift in higher education, one in which the intellectual and creative endeavors of academia are shaped and examined through an international and multicultural perspective. As a major intellectual hub at the crossroads of the Arab world, NYU Abu Dhabi serves as a center for scholarly thought, advanced research, knowledge creation, and sharing, through its academic, research, and creative activities.

8 months, 3 weeks

[Applications now open!] 2 x EPSRC PhD Studentships on CS+Psych projects @ UofGlasgow

by Rachael Jack

Dear all We’re excited to announce 2 x EPSRC-funded PhD Scholarships on CS+Psych projects hosted in the School of Psychology and Neuroscience in collaboration with the School of Computing Science at the University of Glasgow. Please share widely Deadline: 17 June Project 1: The unconscious effect of physical beauty in human social interactions The aim of the project is to investigate how "physical beauty" can bias the outcomes of social decisions (e.g. job interviews). To do this, we aim to create an algorithm able to transform the "physical beauty" of participants in real time and use that algorithm during negotiations to see how it influences social outcomes and non-verbal behavior. We are searching for a multidisciplinary candidate that is interested in real-time computer vision (e.g. voice/face transformation and analysis) as well as social cognition (e.g., social interactions, non-verbal data analysis, social biases). Project description: https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/pab… Project team members: Pablo Arias Sarah (primary supervisor), Alessandro Vinciarelli (co-supervisor), Mathieu Chollet (co-supervisor) Questions? Contact: pablo.arias(a)glasgow.ac.uk<mailto:pablo.arias@glasgow.ac.uk> Project 2: HIGH-FIDELITY 3D FACIAL RECONSTRUCTION FOR SOCIAL SIGNAL UNDERSTANDING Human faces convey a wealth of rich social and emotional information—for example, facial expressions often convey our internal emotion states while the shape, colour, and texture of faces can betray our age, sex, and ethnicity. As a highly salient source of social information, human faces are integral to shaping social communication and interactions. The faces in the video can be viewed as a temporal sequence of facial images with intrinsic dynamic changes. Establishing correlations between faces in different frames is important for tracking and reconstructing faces from videos. Jointly modelling fine facial geometry and appearance in a data-driven manner enables the model to learn the relationship between a single 2D face image and the corresponding 3D face model and thus reconstruct its high-quality 3D face model by leveraging the high capacity of deep neural networks. This project is to investigate computational methods for high-fidelity 3D facial tracking on videos for social signal analysis in social interaction scenarios. It involves developing computational models for reconstruction of 3D facial details capturing geometric facial expression changes and analysing social signals. Project description: https://www.gla.ac.uk/postgraduate/doctoraltraining/mvls-epsrc/projects/hui… Project team members: Hui Yu (primary supervisor), Rachael Jack (co-supervisor), Tanaya Guha (co-supervisor) Question? Contact : Hui.Yu(a)glasgow.ac.uk<mailto:Hui.Yu@glasgow.ac.uk> 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 [MOSAIC_small_white.tiff]

9 months, 1 week

Stirling face workshop program

by Peter Hancock

A nearly final program for our workshop here, July 25-6th is now available. The posters are still a bit fluid: if you’d like to bring one, please let me know. In keeping with the workshop format, we’re allowing extended time for discussion after each set of talks To book attendance, which is free: https://faceresearch.stir.ac.uk/july-workshop/ Peter Program Thursday 25th July 9:00 Registration Session 1 Face representations 9:30 How the learning of unfamiliar faces is affected by their resemblance to familiar faces Katie L.H. Gray, Maddie Atkinson, Kay Ritchie, Peter Hancock 9:50 How Does Increased Familiarity Change Face Representation in Memory? Mintao Zhao, Isabelle Bülthoff 10:10 The contribution of distinctive features to cost-efficient facial representations Christel Devue and Mathieu Blondel 10:30 Discussion 10:50 Coffee break 11:30 Keynote 1: Meike Ramon: Unique traits, computational insights: studying Super-Recognizers for societal applications 12:30 Lunch Session 2: Decision making 13:30 Human computer teaming with low mismatch incidence, Anna Bobak, Melina Muller, Peter Hancock 13:50 Unfamiliar face matching and metacognitive efficiency Robin Kramer, Robert McIntosh 14:10 Distinct criterion placement for intermixed face matching tasks Kristen A. Baker, Markus Bindemann 14:30 Discussion 14:50 Break and posters 16:00 Keynote 2: Alice O’Toole: Dissecting Face Representations in Deep Neural Networks: Implications for Rethinking Neural Codes 17:00 Break 18:00 Public Lecture: Peter Hancock: Face recognition by humans and computers: criminal injustice? 19: 30 Dinner Friday 26th July Session 3: Factors affecting face recognition 9:30 Face masks and fake masks: Have we been underestimating the problem of face masks in face identity perception? Kay L Ritchie, Daniel J Carragher, Josh P Davis, Katie Read, Ryan E Jenkins, Eilidh Noyes, Katie LH Gray, Peter JB Hancock 9:50 Identification of masked faces: typical observers, super-recognisers, forensic examiners and algorithms. Eilidh Noyes, Reuben Moreton, Peter Hancock, Kay Ritchie, Sergio Castro Martinez, Katie Gray, and Josh Davis 10:10 Individual variation, socio-emotional functioning and face perception Karen Lander, Grace Talbot, Anastasia Murphy & Richard Brown 10:30 Discussion 10:50 Coffee Session 4: Identification of suspects 11:20 Identity Recognition of Composites Constructed of Unfamiliar Faces Charlie Frowd 11:40 Inverse caricature effects in eyewitness identification performance and deep learning models of face recognition Gaia Giampietro, Ryan McKay, Thora Bjornsdottir, Laura Mickes, Nicholas Furl 12:00 Implicit markers of concealed face recognition Ailsa Millen 12:20 Discussion 13:00 Workshop end Posters As good as it gets? Computer-enhanced recognition of single-view faces does not improve performance across matching or recognition tasks. Scott P Jones, Peter Hancock "They're just not my cup of tea": random preferences are more important than random effects in modelling facial attractiveness ratings. Thomas Hancock, Peter Hancock, Anthony Lee, Morgan Sidari, Amy Zhao, Brendan Zietsch Investigating the modulatory effects of emotional expressions on short-term face familiarity. Constantin-Iulian Chiță, Simon Paul Liversedge, Philipp Ruhnau Human-computer teaming with low quality images. Dan Carragher, Peter Hancock, David White Wisdom of the crowds, within and between individuals, Dan Carragher and Peter Hancock Islands of Expertise and face matching. Emily Cunningham, Anna Bobak, Peter Hancock Investigating Face Recognition Ability in Neurodiverse Individuals. Caelan Dow, Anna Bobak, Jud Lowes The Heterogeneity of Face Processing in Developmental Prosopagnosia from a Single Case Analysis Approach, Benjamin Armstrong, Anna Bobak, Jud Lowes The effects of age on face recognition. Zsofi Kovacs-Bodo, Stephen Langton, Peter Hancock & Anna Bobak Seeing through the lies: effectiveness of eye-tracking measures for the detection of concealed recognition of newly familiar faces and objects. Amir Shapira and Ailsa Millen 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 papers: Face masks and fake masks: the effect of real and superimposed masks on face matching with super-recognisers, typical observers, and algorithms https://rdcu.be/dxAIR Balanced Integration Score: A new way of classifying Developmental Prosopagnosia https://www.sciencedirect.com/science/article/abs/pii/S0010945224000054 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. Web: www.stir.ac.uk<http://www.stir.ac.uk/> [Facebook icon]<https://www.facebook.com/universityofstirling/>[Twitter icon]<https://twitter.com/StirUni>[LinkedIn icon]<https://www.linkedin.com/edu/university-of-stirling-12676>[Instagram icon]<https://www.instagram.com/universityofstirling/>[Youtbue icon]<https://www.youtube.com/user/UniversityOfStirling> [Banner]<https://www.stir.ac.uk/> ________________________________ Scotland’s University for Sporting Excellence The University of Stirling is a charity registered in Scotland, number SC 011159

9 months, 1 week

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