LDFA: Latent diffusion face anonymization for self-driving applications
In order to protect vulnerable road users (VRUs), such as pedestrians or cyclists, it is
essential that intelligent transportation systems (ITS) accurately identify them. Therefore …
essential that intelligent transportation systems (ITS) accurately identify them. Therefore …
Computational facial analysis for rare Mendelian disorders
TC Hsieh, PM Krawitz - … Journal of Medical Genetics Part C …, 2023 - Wiley Online Library
With the advances in computer vision, computational facial analysis has become a powerful
and effective tool for diagnosing rare disorders. This technology, also called next‐generation …
and effective tool for diagnosing rare disorders. This technology, also called next‐generation …
[HTML][HTML] Face deidentification with controllable privacy protection
Privacy protection has become a crucial concern in today's digital age. Particularly sensitive
here are facial images, which typically not only reveal a person's identity, but also other …
here are facial images, which typically not only reveal a person's identity, but also other …
Diff-privacy: Diffusion-based face privacy protection
Privacy protection has become a top priority due to the widespread collection and misuse of
personal data. Anonymization and visual identity information hiding are two crucial tasks in …
personal data. Anonymization and visual identity information hiding are two crucial tasks in …
Does Image Anonymization Impact Computer Vision Training?
H Hukkelås, F Lindseth - … of the IEEE/CVF Conference on …, 2023 - openaccess.thecvf.com
Image anonymization is widely adapted in practice to comply with privacy regulations in
many regions. However, anonymization often degrades the quality of the data, reducing its …
many regions. However, anonymization often degrades the quality of the data, reducing its …
Physics Based Camera Privacy: Lens and Network Co-Design to the Rescue
M Dufraisse, M Carvalho… - Proceedings of the …, 2024 - openaccess.thecvf.com
The wide presence of cameras using automatic image processing has a positive impact on
smart cities and autonomous driving objectives but also poses privacy threats. In this context …
smart cities and autonomous driving objectives but also poses privacy threats. In this context …
Facial Identity Anonymization via Intrinsic and Extrinsic Attention Distraction
Z Kuang, X Yang, Y Shen, C Hu… - Proceedings of the IEEE …, 2024 - openaccess.thecvf.com
The unprecedented capture and application of face images raise increasing concerns on
anonymization to fight against privacy disclosure. Most existing methods may suffer from the …
anonymization to fight against privacy disclosure. Most existing methods may suffer from the …
Balancing Privacy and Accuracy: Exploring the Impact of Data Anonymization on Deep Learning Models in Computer Vision
JH Lee, SJ You - IEEE Access, 2024 - ieeexplore.ieee.org
Computer vision has become indispensable in various applications, including autonomous
driving, medical imaging, security and surveillance, robotics, and pattern recognition. In …
driving, medical imaging, security and surveillance, robotics, and pattern recognition. In …
Synthesizing anyone, anywhere, in any pose
H Hukkelås, F Lindseth - Proceedings of the IEEE/CVF …, 2024 - openaccess.thecvf.com
We address the task of in-the-wild human figure synthesis, where the primary goal is to
synthesize a full body given any region in any image. In-the-wild human figure synthesis has …
synthesize a full body given any region in any image. In-the-wild human figure synthesis has …
Ganonymization: A gan-based face anonymization framework for preserving emotional expressions
In recent years, the increasing availability of personal data has raised concerns regarding
privacy and security. One of the critical processes to address these concerns is data …
privacy and security. One of the critical processes to address these concerns is data …