1st International Workshop on Synthetic Data for Face and Gesture Analysis
Held in conjunction with IEEE FG 2024
Istanbul, Turkey, May 27 or 31, 2024 (TBD)
1st International Workshop on
Synthetic Data for Face and Gesture Analysis (SD-FGA)
About the workshop
The SD-FGA workshop is organized within the scope of IEEE FG 2024 and all accepted and presented papers will be published within the main "IEEE FG 2024 Proceedings" that will appear on IEEE Xplore. The workshop will be held in Istanbul, Turkey, on either May 27 or May 31, 2024 (to be defined).
Motivation
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 submission
Submissions to SD-FGA can be up to 8-pages and with an unlimited number of references, similar to the main conference. For paper formatting, please follow the instructions posted on the main IEEE FG 2024. The paper templates are for convenience, posted here as well:
Kindly note that we are using a CMT instance for paper collection that is distinct from the CMT instance of the main conference. To submit your paper, use the following URL:
https://cmt3.research.microsoft.com/SDFGA2024
The reviewing process will be “double blind” and the submitted papers should, therefore, be appropriately anonymized not to reveal the authors or authors’ institutions. The final decisions will be rendered by the workshop organizers and will take into account the review content as well as the decision recommendations made by the Technical Program Committee members. Borderline paper will be discussed by the organizers.
Important Dates
Paper submission (extended to): March 25, 2024, 11:59pm PST
Notifications: April 15, 2024
Camera ready: April 22, 2024 (same as main conference)
Workshop dates: May 27 or 31 (To be defined by the main conference)
Invited Speakers
TBD
Organizers
Fadi Boutrus, Fraunhofer IGD, Germany
Naser Damer, Fraunhofer IGD, Germany
Deepak Kumar Jain, Dalian University of Technology, Dalian, China
Pourya Shamsolmoali, East China Normal University, Shanghai
Vitomir Štruc. University of Ljubljana, Slovenia
Supporters and Co-organizers
Technical Program Committee
Adam Czajka, University of Notre Dame, USA
Akshi Kumar, Goldsmiths University of London, UK
Anderson Rocha, University of Campinas, Brasil
Andreas Uhl, Salzburg University, Austria
Bo Peng, Institute of Automation, Chinese Academy of Sciences, China
Chenquan Gan, Chongqing University of Posts and Telecommunications, China
Darian Tomašević, University of Ljubljana, Slovenia
Jie, Zhang, ICT, Chinese Academy of Sciences, China
Mirko Marras, University of Cagliari, Italy
Patrick Flynn, University of Notre Dame, USA
Peter Peer, University of Ljubljana, Slovenia
Rama Chellappa, Johns Hopkins University, USA
Ruben Vera-Rodriguez, Universidad Autónoma de Madrid, Spain
Sandipan Banerjee, Samsung Research America, USA
Victor Sanchez, University of Warwick, UK
Zhang Zhang, Institute of Automation, Chinese Academy of Sciences, China
Zhen Jia, Institute of Automation, Chinese Academy of Sciences, China