[visionlist] [Synthetic Data for Face and Gesture]: Deadline extended to March 25, 2024 - held in conjunction with IEEE FG 2024

Vitomir Štruc vitomir.struc at fe.uni-lj.si
Mon Mar 18 04:46:40 -04 2024


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1st International Workshop on Synthetic Data for Face and Gesture 
Analysis (SD-FGA 2024)
Held in the scope of IEEE FG 2024
27 or 31 May 2024 (TBD), Istanbul, Turkey
https://sites.google.com/view/sd-fga2024/

Paper submission (extended to): 25 March 2024, 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 models for face and gesture synthesis
+ Label generation for synthetic data
+ Information leakage in synthetics data
+ Data factories for training biometric (detection, landmarking, 
recognition) models
+ Synthetic data for data augmentation
+ Data synthesis for bias mitigation and fairness
+ Quality assessment for synthetic data
+ Synthetic data for privacy protection
+ Novel applications of synthetic data
+ New synthetic datasets and performance benchmarks
+ Applications of synthetic data, e.g., deepfakes, virtual try-on, face 
and gesture editing


*** 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 2024 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/SDFGA2024

*** Dates ***
Workshops will be held on May 27th and May 31st, 2024. The final date of 
the workshop will decided at a later date.


*** Important Dates ***

Paper submission (extended to): 25 March 2024 (11:59pm Pacific)
Notifications to authors:     15 April 2024


For more information, visit: https://sites.google.com/view/sd-fga2024/

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

Program Co-Chair: IEEE International Conference on Automatic Face and Gesture Recognition (FG 2024), https://fg2024.ieee-biometrics.org/
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)
Tutorial Co-Chair: IEEE/CVF Computer Vision and Pattern Recognition (CVPR 2024): https://cvpr.thecvf.com/




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