[visionlist] [Synthetic Data for Face and Gesture]: Call for Papers - held in conjunction with IEEE FG 2025

[Vitomir Štruc]

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2nd International Workshop on Synthetic Data for Face and Gesture 
Analysis (SD-FGA 2025)
Held in the scope of IEEE FG 2025
26 or 30 May 2025 (TBD), Clearwater, Florida, USA
https://sites.google.com/view/sd-fga-2025/home

Paper submission: 9 April 2025, 11:59pm PST
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*** Call for Papers ***
Recent advancements in generative models within the realms of computer 
vision and artificial intelligence have revolutionized the way 
researchers approach data-driven tasks. The advent of sophisticated 
generative models, such as GANs (Generative Adversarial Networks), VAEs 
(Variational Autoencoders), or more recently diffusion models, has 
empowered practitioners to create synthetic data that closely mirrors 
real-world scenarios. These models enable the generation of 
high-fidelity images and sequences, laying the foundation for 
groundbreaking applications in face and gesture analysis. The 
significance of these generative models lies in their ability to produce 
synthetic data that is remarkably realistic, thereby mitigating 
challenges associated with data scarcity and privacy concerns. As a 
result, the utilization of synthetic data has become increasingly 
prevalent in various research domains, offering a versatile and ethical 
alternative for training and testing machine learning algorithms.

This workshop aims to delve into the diverse applications of synthetic 
data in the realm of face and gesture analysis. Participants will 
explore how synthetic datasets have been instrumental in training facial 
recognition systems, enhancing emotion detection models, and refining 
gesture recognition algorithms. The workshop will showcase exemplary use 
cases where the integration of synthetic data has not only overcome data 
limitations but has also fostered the development of more robust and 
accurate models. As researchers increasingly recognize the potential of 
synthetic datasets in shaping the future of computer vision and machine 
learning, there arises a demand for a collaborative platform where ideas 
can be exchanged, methodologies shared, and challenges addressed. This 
workshop aims to bridge the gap between theoretical knowledge and 
practical implementation, fostering a community of experts and 
enthusiasts dedicated to advancing the frontiers of synthetic data in 
face and gesture analysis.

Topics of interest include, but are not limited to:
+ Novel generative techniques for producing realistic face and gesture data
+ Innovative approaches for labeling and annotating synthetic data
+ Methods for preventing data leakage in synthetic datasets
+ Development of synthetic data pipelines for biometrics
+ Techniques for using synthetic data to enrich and augment existing 
datasets
+ Synthetic data as a tool for bias reduction and promoting fairness in 
face and gesture analysis
+ Criteria and methodologies for assessing the quality of synthetic 
datasets
+ Privacy-focused synthetic data generation for sensitive applications
+ New applications for synthetic data in areas like augmented reality, 
animation, and virtual environments
+ Comparative performance benchmarks and quality assessments of 
synthetic datasets


*** Paper format and submission ***

-- Format --
Submitted papers may not be accepted or under review elsewhere. 
Submissions may be up to 8 pages (+ an unlimited number of references) 
in the same format as the main IEEE FG 2025 papers. Accepted papers will 
be submitted for inclusion into IEEE Xplore and published as part of the 
same proceedings as the main FG conference papers.

Paper submissions are accepted through 
https://cmt3.research.microsoft.com/SDFGA2025

*** Dates ***
Workshops will be held on 26 May or 30 May, 2025. The final date of the 
workshop will decided at a later date.


*** Important Dates ***

Paper submission: 9 April 2025 (11:59pm Pacific)
Notifications to authors:     25 April 2025


For more information, visit: https://sites.google.com/view/sd-fga-2025/home

-- 
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
Supervisory Board Member: European Association for Biometrics (EAB)
Secretary of IAPR Technical Committee on Biometrics (TC4)

Program Co-Chair: IEEE International Workshop on Information Forensics and Security (WIFS 2024), https://wifs2024.uniroma3.it/
Program Co-Chair: IEEE Winter Conference on Applications in Computer Vision (WACV 2025)
Program Co-Chair: IEEE/IAPR International Joint Conference on Biometrics (IJCB 2025)