- Face-research-list - University of Stirling Mailing Lists

CALL FOR PHD STUDENTS: positions under Wipro WIN Research Fellowship
by ABHIJIT DAS 06 Apr '26

06 Apr '26

*Research Overview* The Wipro WIN Research Fellowship supports PhD enrolment at BITS Pilani to pursue cutting-edge research, drive technological innovation and enhance WIN’s competitive edge in smart technologies, sustainability, and cross-domain solutions. *Research Topic/ Project*: Sim2Real and Vision-Language-Action (VLA) Foundation Models for Robot Control and Factory Coordination *Fellowship Details* * Fellowship Amount: The fellowship will provide a stipend of INR 37,000/- + 27% HRA per month. Fellowship will be enhanced after completing 4 years. * Research scholars will receive domestic and international travel support and contingency funds for project work. *Eligibility Criteria*: B.Tech/M.Tech in the relevant field of CS/EE/ECE/other relevant. Experience in Python and PyTorch. Having exposure to robotics/ computer vision will be a plus. *Deadline:* till the position is available *How to apply:* Interested candidates with the above-mentioned qualifications and relevant experience can send their CV giving detailed information about the educational qualifications, research experience and published research papers, if any, to abhijit.das(a)hyderabad.bits-pilani.ac.in. Best regards Abhijit ------------------ --------------------- ---- -------------------- *Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR <https://appcair.com/applied-ai-faculty.html> Lead Investigator, Machine Intelligence Group <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> Assistant Professor. <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> H112, Dept. of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus. *Organising Chair:* 1st Workshop on Computer Vision for Biometrics, Identity and Behaviour (CV4BIB 2025) at ICCV 2025. *Competition Co-Chairs: *IEEE International Joint Conference on Biometrics (IJCB 2026) *Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML 2025) *Area chair: *23rd IEEE Winter Conference on Applications in Computer Vision (WACV 2026) *Contact no:* +914066303744 (O) *Website: *https://sites.google.com/site/dasabhijit2048/home *▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄* [image: Visit Hyderabad Campus]

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Invitation to collaborate on a Face Processing Symposium at the Joint ESCoP–CoPM 2026 Meeting, Hangzhou, China (Aug 31 - Sept 4, 2026)
by Jin Haiyang 28 Feb '26

28 Feb '26

Dear face researchers, I hope you are doing well. I am Haiyang Jin, a researcher working on face perception and cognition, currently based in Hangzhou, the host city of the upcoming Joint ESCoP–CoPM Meeting 2026 (31 August – 4 September 2026 in Hangzhou, China). This meeting is a joint conference of the European Society for Cognitive Psychology (ESCoP) and the Cognitive Processes and Modelling Division of the Chinese Psychological Society — bringing together cognitive researchers from Europe, China, and beyond. Conference website: https://www.escop-copm-2026.com/ More about Hangzhou: https://www.escop-copm-2026.com/cd_hz As face processing is a vibrant and cross-disciplinary area spanning perception, attention, memory, social cognition, and neurocognition, I am interested in reaching out to see whether there are researchers who would be interested in participating in (or co-organizing) a symposium on face processing at the ESCoP–CoPM meeting. Possible aims of the symposia could include • Bringing together work on face perception, face recognition, social signals, neural mechanisms, and/or computational models of face processing, • Highlighting cross-cultural perspectives or methodological advances, • Providing a platform for European and Chinese researchers to meet and share research within this domain. If you are planning to attend ESCoP–CoPM 2026 and would be interested in contributing to a face processing–related symposium (as speaker, chair, or discussant), please reply to this email by early March. I would be happy to coordinate a short planning call or email thread to prepare a symposium proposal together for submission before the deadline. Of course, if you have specific themes within face processing that you would like to propose, that is also very welcome. Looking forward to hearing from you and hopefully seeing many of you in Hangzhou! Best regards, Haiyang ———————————————————— 金海洋特聘副教授心理学系浙江理工大学浙江省杭州市钱塘区2号大街928号 Haiyang Jin Ph.D. Associate Professor (Honored Hired) Department of Psychology Zhejiang Sci-Tech University 928 No. 2 Street, Qiantang District Hangzhou, Zhejiang, China E-mail: haiyang.jin(a)outlook.com<mailto:haiyang.jin@outlook.com> Phone: (+86) 17280159066 Website: https://haiyangjin.github.io/ ORCID: https://orcid.org/0000-0003-3290-3901 Github: https://github.com/HaiyangJin Please do not feel obligated to reply to my email outside your normal working hours.

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(CfP) CVPR 2025: 8th Workshop and Competition on Affective Behavior Analysis in-the-wild (ABAW)
by Dimitrios Kollias 02 Feb '26

02 Feb '26

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

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CALL FOR PHD STUDENTS: 2 positions under Wipro WIN Research Fellowship
by ABHIJIT DAS 17 Jan '26

17 Jan '26

Research Overview The Wipro WIN Research Fellowship supports PhD enrolment at BITS Pilani to pursue cutting-edge research, drive technological innovation and enhance WIN’s competitive edge in smart technologies, sustainability, and cross-domain solutions. Research Topic/ Project 1: Sim2Real and Vision-Language-Action (VLA) Foundation Models for Robot Control and Factory Coordination Research Topic/ Project 2: Development of SIL Safety-Rated Vision-Based Autonomous Mobile Robot (AMR) Navigation Without LiDAR Fellowship Details Fellowship Amount: The fellowship will provide a stipend of INR 37,000/- + 27% HRA per month. Fellowship will be enhanced after completing 2 years. Research scholars will receive domestic and international travel support and contingency funds for project work. Eligibility Criteria: Experience in Python and Pytorch. Having exposure to robotics/ computer vision will be a plus. Deadline: till the position is available How to apply: Interested candidates with the above-mentioned qualifications and relevant experience can send their CV giving detailed information about the educational qualifications, research experience and published research papers, if any, to abhijit.das(a)hyderabad.bits-pilani.ac.in. Best regards Abhijit ------------------ --------------------- ---- -------------------- *Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR <https://appcair.com/applied-ai-faculty.html> Lead Investigator, Machine Intelligence Group <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> Assistant Professor. <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> H112, Dept. of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus. *Organising Chair:* 1st Workshop on Computer Vision for Biometrics, Identity and Behaviour (CV4BIB 2025) at ICCV 2025. *Competition Co-Chairs: *IEEE International Joint Conference on Biometrics (IJCB 2026) *Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML 2025) *Area chair: *23rd IEEE Winter Conference on Applications in Computer Vision (WACV 2026) *Contact no:* +914066303744 (O) *Website: *https://sites.google.com/site/dasabhijit2048/home *▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄* [image: Visit Hyderabad Campus]

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Fully funded PhD studentship at The University of Birmingham: Psychology w. Computer Science
by Melissa Colloff 14 Jan '26

14 Jan '26

Hi Everyone, I’m getting in touch as we're recruiting two PhD students for two fully-funded four year Centre-UB studentships<https://www.centre-ub.org/> at the University of Birmingham<https://www.birmingham.ac.uk/>. I’ve included the details below. If you know anyone who might be interested, I’d be very grateful if you could share this with them. Alternatively, would you be able to forward the information more broadly to students on your UG or Master’s courses? Many thanks in advance, and please let me know if you have any questions. Best wishes, Melissa Human-Aligned Super-Resolution for Facial Identification: Behavioural Evaluation, Bias Analysis, and Explainable AI – with VisionMetric Ltd Project supervised by Dr Melissa Colloff<https://www.birmingham.ac.uk/staff/profiles/psychology/colloff-melissa> <https://www.birmingham.ac.uk/staff/profiles/psychology/colloff-melissa> (Psychology), Professor Howard Bowman<https://www.birmingham.ac.uk/staff/profiles/psychology/bowman-howard> (Computer Science & Psychology) and Professor Heather Flowe<https://www.birmingham.ac.uk/staff/profiles/psychology/flowe-heather> (Psychology) together with Dr Stuart Gibson from VisionMetric Ltd<https://visionmetric.com/>. Application deadline: Tuesday February 17th 2026, 5pm Projects now available to view on the Centre-UB website: https://www.centre-ub.org/studentships/new-opportunities/ Background CCTV footage is a predominant and crucial source of evidence in policing, with an estimated 21 million cameras operating in the UK. Yet more than 80% of real-world footage is too poor in quality to support reliable person identification. This severely limits investigative success and leaves offenders unidentified. Generative AI–based super-resolution (SR) technologies—such as VisionMetric’s iREVEAL—promise transformative gains by enhancing low-quality facial images. However, there is little scientific evidence on whether these tools improve human accuracy, how they affect machine recognition, and whether they introduce demographic biases. This interdisciplinary PhD (Psychology w. Computer Science) will investigate how generative AI–based super-resolution (SR) technologies influence human and machine-based facial identification. The PhD will combine behavioural experiments, machine learning, and explainable-AI methods to answer questions: 1. Do SR techniques improve human face identification accuracy? 2. How do SR-enhanced images affect machine-based facial recognition, and where do human and machine decisions diverge? 3. Do SR methods perform equitably across demographic groups? 4. Can SR models be improved using human perceptual insights? This project provides extensive interdisciplinary training from subject experts and industry, including in behavioural experimental design and statistical modelling; computer vision and AI techniques; explainable AI and human–machine comparison methods; and responsible innovation. The student will work closely with VisionMetric<https://visionmetric.com/>, which is a leading SME supplying facial software to police forces in over 30 countries. Two placements at VisionMetric will provide hands-on experience with AI development pipelines and product development. This is an exceptional opportunity to build a skillset spanning psychology, AI, fairness, and forensic technology, positioning the candidate for careers in academia, applied behavioural science, AI research, technology, or policy. The project addresses both the societal risks and potential benefits of AI in high-stakes environments. Candidate We are looking for a highly talented and dedicated student with a 1st class or 2:1 undergraduate degree in Psychology, Cognitive Science, Computer Science, Neuroscience, Data Science, or a related field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Applicants with an interest in human perception, AI ethics, or forensic science are especially encouraged. Interviews for this studentship are expected to take place on 16th March 2026. To apply for this studentship, please submit your application using this link<https://app.geckoform.com/public/#/modern/21FO00gwt7o1i40093m7p30d6e>: https://app.geckoform.com/public/#/modern/21FO00gwt7o1i40093m7p30d6e Further details on the application process can be found here, should applicants request them: https://www.centre-ub.org/studentships/application-process/ Informal enquiries about the project prior to application can be directed to Dr Melissa Colloff (m.colloff(a)bham.ac.uk) ———————————————— Enhanced Eyewitness ID: Predicting and Optimising ID Accuracy Through Behavioural Analysis – with Promat Project supervised by Prof Heather Flowe (Psychology), Dr Jizheng Wan (Computer Science), and Dr Melissa Colloff (Psychology) together with Mr Matt Whitwam from Promat.<http://promaps.software/Identification-Parade.aspx> Application deadline: Tuesday February 17th 2026, 5pm Projects now available to view on the Centre-UB website: https://www.centre-ub.org/studentships/new-opportunities/ Background Accurate eyewitness identification is critical for criminal investigations and public safety. Yet, despite major advances in psychological science, police lineup procedures have changed little in over a century. Most forces still rely on static photographs, and methods that struggle to capture the conditions under which crimes actually occur, such as poor lighting, variable viewpoints, and the use of disguises. This interdisciplinary PhD offers an exciting opportunity to help modernise eyewitness identification by combining cognitive psychology, immersive technology, and artificial intelligence. The project will test participant witnesses using a mock witness paradigm. Witnesses will be able to adjust lighting, toggle disguise features, and control viewing angle during lineups, creating a memory-congruent identification environment. The project will examine whether these reinstatement opportunities improve accuracy relative to standard, non-adaptive lineups, and how witnesses naturally explore faces under these conditions. A core innovation of the project is the integration of behavioural data with AI. The student will analyse eye movements, exploration patterns, and verbal reports to develop computational models that predict identification reliability. They will learn to design interpretable, legally robust AI systems, including attention-based deep learning models and reinforcement learning approaches that adapt lineup presentation in real time based on witness behaviour. A defining feature of the project is close collaboration with Promat, the leading provider of police lineup software in the UK. Through this partnership, the student will gain first-hand experience working with real operational systems, understanding industry constraints, and contributing to research with direct pathways to deployment in policing practice. Joint supervision from Psychology and Computer Science will ensure strong interdisciplinary support while bridging academic research and industry innovation. Candidate We are looking for a highly talented and dedicated PhD student with a 1st class or 2:1 degree in the field of Psychology, Cognitive Science, Computer Science, Neuroscience, Data Science, or an allied field. An MSc degree in a relevant area is desirable though not necessary. Experience in coding (e.g., Python/R/Matlab) and experience in behavioural experimentation, statistics, or machine learning is desirable but full training will be provided. Interviews for this studentship are expected to take place on 20th March 2026. To apply for this studentship, please submit your application using this link<https://app.geckoform.com/public/#/modern/21FO00gwt7o1i40093m7p30d6e>: https://app.geckoform.com/public/#/modern/21FO00gwt7o1i40093m7p30d6e Informal enquiries about the project prior to application can be directed to Professor Heather Flowe (h.flowe(a)bham.ac.uk) Dr Melissa Colloff (she/her) Associate Professor of Forensic Psychology University of Birmingham School of Psychology B15 2TT Edgbaston, Birmingham, B15 2TT, UK office: 324, 52 Pritchatts Road. phone: +44 (0)121 4144925 email: m.colloff(a)bham.ac.uk<mailto:m.colloff@bham.ac.uk> www.birmingham.ac.uk<http://www.birmingham.ac.uk> Lab Website<https://www.appliedmemorylab.co.uk/> / Lab LinkedIn<https://www.linkedin.com/company/applied-memory-labs/> Personal Website<https://www.melissacolloff.com/> / Personal LinkedIn<https://www.linkedin.com/in/melissa-colloff-a5363a58/> I work full-time, but my non-working day is Wednesday. I work flexibly and sometimes send emails at odd times. Please do not feel obliged to reply to this email outside of your normal working hours. [University of Birmingham logo]

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No-Name Face Conference
by Peter Hancock 04 Dec '25

04 Dec '25

I'm forwarding this to the list. Peter On Tue, Nov 18, 2025 at 11:03 AM Michael J. Bernstein <mjb70(a)psu.edu<mailto:mjb70@psu.edu>> wrote: Hi all, A few years ago, we organized the “No-Name Face Conference," held virtually in the summers of 2021 and 2022. The goal was to bring together scholars, young and old, to share research on topics related to faces. After an invigorating discussion in Lisbon with many of you, Josh, myself, and Balbir Singh hope to revive the conference for a third round (we can call it “quasi-biennial"). We're reaching out now to gauge interest for a June 2026 date for another virtual conference (held on Zoom). In the past, this event ran from 11 a.m. to 3 p.m. EST. The timing and duration (one or two days) will depend on the number of people who are interested as well as the time zones in which they live. We anticipate talks would be roughly thirty minutes long, and we’d want to reserve plenty of time for questions and discussion (though again, these plans might change based on interest). You are welcome to share this invitation with colleagues and students who may benefit from attending or presenting. This email list reflects names that are familiar and salient to us, but it is certainly not exhaustive. We’d love to include others. Complete this survey to gauge interest <https://cuboulder.qualtrics.com/jfe/form/SV_eqYlG2UNfDHEYjY> (no one will be committed to anything). Please respond by December 5. Michael, Josh, Balbir Peter Hancock (he/him) Emeritus 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: A Forensic Facial Examiner and Professional Team Advantage for Masked Face Identification https://onlinelibrary.wiley.com/doi/10.1002/acp.70092 This condition impacts every aspect of my life: A survey to understand the experience of living with developmental prosopagnosia https://journals.plos.org/plosone/article?id=10.1371/journal.pone.0322469 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

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Stirling face workshop program
by Peter Hancock 22 Sep '25

22 Sep '25

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

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Call for Papers – Attention, Perception, and Recognition of the Self
by Alejandro José Estudillo Hidalgo 09 Sep '25

09 Sep '25

Dear colleagues, Apologies for crossposting. We are pleased to share a Call for Papers <https://link.springer.com/journal/426/updates/27809368> ( https://link.springer.com/journal/426/updates/27809368) for a new article Collection in *Psychological Research* titled *“Attention, Perception, and Recognition of the Self.”* *Aim and Scope* Self-processing occupies a central role in psychological science, yet many foundational questions remain about its mechanisms. With the rise of experimental psychology and neuroscientific approaches, this field has seen remarkable growth—enhancing our understanding of how we attend to, perceive, and recognize ourselves, and the neural systems that support these functions. This Collection aims to foster interdisciplinary integration across perceptual, cognitive, developmental, cultural, biological, and evolutionary domains. We welcome submissions of cutting-edge research on self-processing, including: - Empirical studies - Review articles - Opinion papers - Registered reports - Registered replications (please refer to the journal’s updated guidelines for these formats) *Potential topics include, but are not limited to:* - Self-prioritization effects - Self-recognition - Self-related illusions (e.g., Rubber Hand Illusion, enfacement illusion) - Developmental and evolutionary origins of the self - Cultural and personality influences on self-processing *For inquiries or to discuss the suitability of a submission, please contact the Action Editors:* - Dr. Alejandro J. Estudillo – aestudillo(a)bournemouth.ac.uk - Professor Jie Sui – jie.sui(a)abdn.ac.uk - Dr. Jasmine Lee – jasminekarwye.lee(a)reading.edu.my - Dr. Guanmin Liu – liugm(a)tju.edu.cn We look forward to your contributions to this exciting Collection. Regards, Alex -- *La civilización nos ha liberado de ciertas condiciones aversivas del ambiente, pero ciertamente no nos ha liberado del ambiente mismo.(Skinner, 1971)*

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Call for papers: Recent Advances in Detecting Manipulation Attacks on Biometric Systems (ADMA-2025)
by ABHIJIT DAS 10 Jul '25

10 Jul '25

Submit your cutting-edge research on biometric manipulation detection to ADMA-2025 and contribute to advancing security against evolving threats. ADMA-2025 is organized as a Special Session at the 2025 International Joint Conference on Biomterics (IJCB), held in Oska, Japan between 8-11 September 2025. Accepted papers will be submitted for inclusion into IEEE Xplore, as part of IJCB proceedings. Paper submission deadline: July 10, 2025 More information: https://sites.google.com/view/ijcb-ss-adma-2025/home Organizers: Abhijit Das, Raghavendra Ramachandra, Naser Damer, Vitomir Štruc , Marija Ivanovska, Antitza Dantcheva Best regards Abhijit ------------------ --------------------- ---- -------------------- *Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR <https://appcair.com/applied-ai-faculty.html> Lead Investigator, Machine Intelligence Group <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> Assistant Professor. <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> H112, Dept. of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus. *Organising Chair:* 1st Workshop on Computer Vision for Biometrics, Identity and Behaviour (CV4BIB 2025) at ICCV 2025. *Competition Co-Chairs: *IEEE International Joint Conference on Biometrics (IJCB 2026) *Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML 2025) *Area chair: *23rd IEEE Winter Conference on Applications in Computer Vision (WACV 2026) *Contact no:* +914066303744 (O) *Website: *https://sites.google.com/site/dasabhijit2048/home *▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄* [image: Visit Hyderabad Campus]

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Deadline is extended to 1st July (EoD, AoE): Call for paper 1st Computer Vision for Biometrics, Identity & Behaviour (CV4BIOM) workshop at ICCV 2025
by ABHIJIT DAS 27 Jun '25

27 Jun '25

We (Abhijit Das, Mayank Vatsa, Richa Singh, Arun Ross, Vitomir Štruc, Antitza Dantcheva, Ph.D. and Raghavendra Ramachandra) are organising the 1st Computer Vision for Biometrics, Identity & Behaviour (CV4BIOM) workshop at ICCV 2025. Submission deadline: *1 July 2025 (23:59 AoE), no further extension* Decision: 11 July 2025 Website: cv4biom.org Submission link: https://openreview.net/group?id=thecvf.com/ICCV/2025/Workshop/CV4BIOM Submission guideline: ICCV Author Guidelines <https://iccv.thecvf.com/Conferences/2025/AuthorGuidelines> All accepted papers in the workshops will be published in the ICCV workshop proceedings: ICCVW will only include works longer than 4 pages and up to 8 pages, not including references. ***********The best-reviewed paper from the workshop will be invited to submit extended work to the IEEE TBIOM SPECIAL ISSUE on Best Reviewed Papers from ICCV 2025 Biometrics.*************** Topics of interest, but not limited to: • Biometrics & Identity: Technologies, Applications, and Challenges: – Biometric Modalities and Sensors: Face, fingerprint, ear, eye (iris, retina), vein pat- terns, palm, gait, and emerging biometric traits. – Biometric Processing and Computation: Template generation, feature extraction, matching algorithms, and dataset baselines. – Multi-Biometrics and Fusion: Information fusion, normalization techniques, machine learning-based integration, and theoretical models. – Privacy, Security and Bias: Bias mitigation, privacy-preserving techniques, security assessments, and adversarial robustness in biometric systems. – Forensic and Law Enforcement Applications: Biometrics in forensics, crime investi- gation, and security assessment. – Biometrics in Technology and Industry: Mobile and wearable devices, banking, IoT, large-scale identity management, and biometric authentication standards. – Emerging Challenges and Ethical Considerations: Digital data forensics, biometric deepfakes, synthetic realities, ethical, social, and legal issues in biometric adoption. • Behavior Understanding & Applications: – Multimodal Behavior Modeling: Human and animal behavior analysis, social interac- tions, empathy, and emotional intelligence. – Generative and Machine Learning Approaches: Advanced learning models for be- havior prediction and synthesis. – Sensor Technologies and Data Fusion: Multisensory solutions, information fusion tech- niques, and integration for behavior analysis. – Datasets and Benchmarks: Standardized datasets and evaluation metrics for behavior recognition and prediction. – Attention and Perception Analysis: Visual attention, visual saliency, and cognitive modeling. – Assistive and Inclusive Technologies: Applications for the visually and hearing im- paired, sign language recognition, and assistive living solutions. – Personalized and Health-Centric Applications: Monitoring for aging populations, child development, and quality-of-life technologies. – Egocentric and First-Person Vision: Wearable vision-based applications for personal- ized assistance and behaviour tracking. Best regards Abhijit ------------------ --------------------- ---- -------------------- *Dr.** Abhijit Das, * PhD, SMIEEE, LMIUPRAI, Member APPCAIR <https://appcair.com/applied-ai-faculty.html> Lead Investigator, Machine Intelligence Group <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> Assistant Professor. <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> <https://sites.google.com/hyderabad.bits-pilani.ac.in/mig/home> H112, Dept. of Computer Science and Information Systems, BITS Pilani, Hyderabad Campus. *Organising Chair:* 1st Workshop on Computer Vision for Biometrics, Identity and Behaviour (CV4BIB 2025) at ICCV 2025. ICRA'2025 Satellite event at BITS Hyderabad *Competition Co-Chairs: *IEEE International Joint Conference on Biometrics (IJCB 2026) *Sponsorship** Co-Chairs: *6th Indian Symposium on Machine Learning (IndoML 2025) *Contact no:* +914066303744 (O) *Website: *https://sites.google.com/site/dasabhijit2048/home *▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄▄**▄▄▄▄▄▄▄▄▄▄▄▄* [image: Visit Hyderabad Campus]

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