Search
Search Results
-
Face De-identification: Safeguarding Identities in the Digital Era
This book provides state-of-the-art Face De-Identification techniques and privacy protection methods, while highlighting the challenges faced in...
-
Multi-channel attribute preservation for face de-identification
The advancement of computer vision and surveillance devices has underscored the significance of safeguarding privacy in facial images and videos,...
-
ATFS: A deep learning framework for angle transformation and face swap** of face de-identification
This paper proposes an effective framework for improving angle transformation and face replacement. This ATFS framework aims to solve the image...
-
Manipulable, reversible and diversified de-identification via face identity disentanglement
Face de-identification has always been a focal point in privacy-preserving research. Most existing de-identification methods focus only on the...
-
I Got Your Emotion: Emotion Preserving Face De-identification Using Injection-Based Generative Adversarial Networks
Traditional visual information concealing methods involve blurring or pixelating the face, which can obscure emotional expression and lead to...
-
L-GAN: landmark-based generative adversarial network for efficient face de-identification
A large amount of high-quality data are collected through autonomous vehicles, CCTVs, guidance service robots, and web map services (Google Street...
-
Zero-Shot Face Swap** with De-identification Adversarial Learning
In this paper, we propose a Zero-shot Face Swap** Network (ZFSNet) to swap novel identities where no training data is available, which is very...
-
A Systematical Solution for Face De-identification
With the identity information in face data more closely related to personal credit and property security, people pay increasing attention to the...
-
Gait transformation network for gait de-identification with pose preservation
Gait and face are the two major biometric features that need to be de-identified to preserve the privacy of an individual and conceal his/her...
-
Deep Learning Models for Automatic De-identification of Clinical Text
In health care, clinical narratives play an essential part in the diagnosis and treatment of patients. In recent times, many organizations have...
-
Face Detection
Face detection is the first step of most face-related applications such as face recognition, face tracking, facial expression recognition, facial...
-
High similarity controllable face anonymization based on dynamic identity perception
In the meta-universe scenario, with the development of personalized social networks, interactive behaviors such as uploading and sharing personal and...
-
ARTPHIL: Reversible De-identification of Free Text Using an Integrated Model
Organisations that collect and maintain individual data face the challenge of preserving privacy and security when using, archiving, or sharing these...
-
Digital competence among 1st and 4th year primary education undergraduate students: a comparative study of face-to-face and on-line teaching
Digital competence (DC) has become a key element for future teachers in the effort to guarantee a high-quality education system that responds to the...
-
Preserving Privacy of Face and Facial Expression in Computer Vision Data Collected in Learning Environments
Learners’ affective states are analyzed using their facial expressions obtained from image/video data. Deep learning architectures are the...
-
A Systematic Survey of Architectural Approaches and Trade-Offs in Data De-identification
Data de-identification refers to the process of removing or hiding the direct and indirect (quasi-)identifiers from data elements through...
-
An improved face recognition with T2FSN based noise reduction in unconstrained environment
Face recognition is a significant biometric system employed to determine a person’s identity from digital images. The application of a face...
-
Face Recognition Research and Development
Face recognition aims to identify or verify the identity of a person through his or her face images or videos. It is one of the most important...
-
Robust 3D face recognition in unconstrained environment using distance based ternary search siamese network
Face recognition has recently become most important and popular in biometrics and computer vision applications. Nowadays, 3D face recognition...
-
Mobilenetv3: a deep learning technique for human face expressions identification
One of the most cutting-edge methods for understanding a person’s current psychological state is emotion recognition. Due to the nature of emotional...
