[visionlist] [IEEE IJCB 2023]: Call for Special Session Papers - Extended deadline to 31 July 2023

Vitomir Struc vitomir.struc at fe.uni-lj.si
Mon Jul 24 05:52:35 -04 2023

*** Call for Special Sessions Papers ***
IEEE International Joint Conference on Biometrics (IJCB 2023)

The IJCB 2023 technical program will highlight a selected and limited 
number of Special Sessions in order to complement the regular program 
with new or emerging topics of particular interest to the Biometrics 
community. You are invited to submit your works to the following special 
sessions that are selected and now open for submission:

*** Special Sessions ***

1. Synthetic data in Biometrics
Description: In recent years, the field of biometrics has witnessed 
remarkable progress across different modalities, including facial 
images, fingerprints, iris scans, and behavioral biometrics. However, 
the development of accurate and robust biometric systems heavily relies 
on large-scale, diverse, and annotated datasets. Gathering such 
datasets, especially when dealing with sensitive personal information, 
can be challenging due to privacy concerns, legal constraints, and 
limited access to large-scale real-world data. The IJCB 2023 special 
session on »Synthetic data in Biometrics« will explore the emerging 
field of synthetic data for biometrics and its potential to 
revolutionize the development, evaluation, and deployment of biometric 
systems. Synthetic data, generated through advanced machine learning 
models, offers a promising solution to address the limitations of 
real-world data collection. By synthesizing artificial biometric 
samples, researchers can create large-scale (annotated) datasets that 
exhibit diverse variations and can be used for training and testing of 
biometric models, all while respecting privacy constraints.

Organizers: Fadi Boutros (Fraunhofer IGD), Nasir Memon (NYU), Vitomir 
Štruc (University of Ljubljana), Andreas Uhl (Salzburg University)
Website: https://lmi.fe.uni-lj.si/en/synthetic-data-in-biometrics/

2. 3D Biometrics with Monocular Vision
Description: In recent times digital biometrics is of immense importance 
in all spheres of life. Mostly the advances are in the direction of 3D 
biometrics and the face is the body part that is used mostly. Though 
face biometrics is one of the most used forms after fingerprint right 
now, it is also open to many kinds of presentation attack instruments. 
Presentation attack instruments are mainly videos, photographs or masks 
and many times expert

impersonators with prosthetic makeup. The 3D face biometrics is 
sometimes strengthened with the ear, and in many cases, the ear alone is 
sufficient for the recognition of individuals. The ear is agnostic of 
expressions and thus easy to recognize but forging a plastic-based ear 
is also a lot easier than face. 3D ear recognition mitigates the effect 
to a considerable extent. 3D vascular biometrics and palm-based 
biometrics have recently gained steam. Thus in many forms of human 
biometrics, 3D information is crucial. But the need for sophisticated 
and expensive hardware components works as a deterrent to its widespread 
adoption. To record and promote this area of this research we plan to 
host this special session. We invite practitioners, researchers, and 
engineers from biometrics, signal processing, computer vision, and 
machine learning fields to contribute their expertise to uplift the 

Organizers: Abhijit Das (BITS Pilani), Aritra Mukherjee (BITS Pilani), 
Xiangyu Zhu (CAS)
Website: https://sites.google.com/hyderabad.bits-pilani.ac.in/3dbmv/home

3. Long-Range Biometrics Challenges
Description: The next frontier in long-range biometrics, including 
biometric identification, is the recognition from long-range and 
elevated platforms. Specifically, developing a biometric system capable 
of accurate and reliable verification, recognition, and identification 
of persons at long distances and from elevated platforms across 
challenging capture conditions. We are requesting papers from all 
researchers working on these challenges.

Organizers: Ioannis Kakadiaris (University of Houston), Yi Yao (SRI 

4. Recent Advances in Detecting Manipulation Attacks on Biometric 
Systems (ADMA-2023)
Description: Manipulated attacks in biometrics via modified 
images/videos and other material-based techniques such as presentation 
attacks and deep fakes have become a tremendous threat to the security 
world owing to increasingly realistic spoofing methods. Hence, such 
manipulations have

triggered the need for research attention towards robust and reliable 
methods for detecting biometric manipulation attacks. The recent 
inclusion of manipulation/generation methods such as auto-encoder and 
generative adversarial network approaches combined with accurate 
localization and perceptual learning objectives added an extra challenge 
to such manipulation detection tasks. Due to this, the performance of 
existing state-of-the-art manipulation detection methods significantly 
degrades in unknown scenarios. Apart from this, real-time processing, 
manipulation on low-quality medium, limited availability of data, and 
inclusion of these manipulation detection techniques for forensic 
investigation are yet to be widely explored. Hence, this special session 
aims to profile recent developments and push the border of the digital 
manipulation detection technique on biometric systems. We invite 
practitioners, researchers, and engineers from biometrics, signal 
processing, material science, mathematics, computer vision, and machine 
learning to contribute their expertise to underpin the highlighted 
challenges. Further, this special session promotes cross-disciplinary 
research by inviting the partitioner in the field of psychology where 
one can perform the human observer (or super-recognizer) analysis to 
detect attacks.

Organizers: Abhijit Das (BITS Pilani), Meiling Fang (Fraunhofer IGD), 
Raghavendra Ramachandra (NTNU)
Website: https://sites.google.com/view/ss-adma-2023/home

*** Submissions ***

The submission will be part of the IJCB CMT submission website: 
https://cmt3.research.microsoft.com/IJCB2023. There is a special track 
for special sessions. When submitting papers, the authors will have to 
choose a specific special session as a subject area. The link to CMT as 
well as paper submission instructions and guidelines can be found on the 
website of the conference: 

*** Important dates ***

Paper submission deadline: July 31, 2023
Decision notification: August 14, 2023
Camera-ready: August 21, 2023

Prof. Vitomir Struc, PhD
Laboratory for Machine Intelligence
Faculty of Electrical Engineering
University of Ljubljana, Slovenija
URL: https://lmi.fe.uni-lj.si/en/vitomir-struc/

VP Technical Activities, IEEE Biometrics Council
General Co-Chair: IEEE International Joint Conference on Biometrics (IJCB 2023), https://ijcb2023.ieee-biometrics.org
Program Co-Chair: IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024), https://fg2024.ieee-biometrics.org/

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