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
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*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
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