Search
Search Results
-
StyleFace: Towards Identity-Disentangled Face Generation on Megapixels
Identity swap** and de-identification are two essential applications of identity-disentangled face image generation. Although sharing a similar...
-
Reducing Bias in Face Recognition
In this chapter, we estimate the demographic bias in FR (Face Recognition) algorithms and introduce two methods to mitigate the demographic impact on...
-
A deep dive into enhancing sharing of naturalistic driving data through face deidentification
Human factors research in transportation relies on naturalistic driving studies (NDS) which collect real-world data from drivers on actual roads. NDS...
-
CSDG-FAS: Closed-Space Domain Generalization for Face Anti-spoofing
Domain generalization based Face Anti-spoofing (FAS) aims to enhance its ability to work in unseen domains. Existing methods endeavor to extract a...
-
Does face restoration improve face verification?
Methods for face verification works reasonably well on face images with standardized (frontal) face positions and good spatial resolution. However...
-
Suspect face retrieval system using multicriteria decision process and deep learning
The identification and apprehending of suspects by law enforcement authorities rely heavily on facial sketches. The sketch artist creates sketches...
-
Single sample face recognition using deep learning: a survey
Face recognition has become popular in the last few decades among researchers across the globe due to its applicability in several domains. This...
-
FRNet: Improving Face De-occlusion via Feature Reconstruction
Face de-occlusion is essential to improve the accuracy of face-related tasks. However, most existing methods only focus on single occlusion...
-
Face presentation attack detection performances of facial regions with multi-block LBP features
Biometric recognition systems are frequently used in daily life although they are vulnerable to attacks. Today, especially the increasing use of face...
-
Privacy preservation through facial de-identification with simultaneous emotion preservation
Due to the availability of low-cost internet and other data transmission media, a high volume of multimedia data get shared very quickly. Often, the...
-
Structural similarity-based Bi-representation through true noise level for noise-robust face super-resolution
In today’s real-world scenarios’ of computer vision applications, enhancing low-resolution (LR) facial images corrupted with unwanted noise effects...
-
Privacy protection framework for face recognition in edge-based Internet of Things
Edge computing (EC) gets the Internet of Things (IoT)-based face recognition systems out of trouble caused by limited storage and computing resources...
-
Privacy Sensitive Large-Margin Model for Face De-Identification
There is an increasing concern of face privacy protection along with the wide application of big media data and social networks due to free online...
-
A two-phase approach for expression invariant 3D face recognition using fine-tuned VGG-16 and 3D-SIFT descriptors
Expression invariant 3D face recognition systems have many computer vision applications such as human-computer interaction. Most 3D face recognition...
-
A comprehensive survey on techniques to handle face identity threats: challenges and opportunities
The human face is considered the prime entity in recognizing a person’s identity in our society. Henceforth, the importance of face recognition...
-
Understanding videos with face recognition: a complete pipeline and applications
When browsing or studying a video corpus, particularly relevant information consists in knowing who are the people appearing in the scenes. In this...
-
KDFAS: Multi-stage Knowledge Distillation Vision Transformer for Face Anti-spoofing
With the commercial application of face recognition systems, face anti-spoofing has been studied extensively to enhance security in recent years. In...
-
A novel machine learning and face recognition technique for fake accounts detection system on cyber social networks
Online Social Networks (OSN) such as Facebook, Instagram, Twitter, and others have seen rapid growth in recent years. Such applications provide...
-
Enhancement of Human Face Mask Detection Performance by Using Ensemble Learning Models
Given the prevalence of worldwide pandemics, the need of adhering to appropriate mask use becomes more paramount. Therefore, the importance of...
-
Embedded AutoEncoders: A Novel Framework for Face De-identification
Recent advances in deep learning and big data have greatly promoted the development of image recognition technology. In the meantime, however, it...