AIMC Topic: Automated Facial Recognition

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A forensic evaluation method for DeepFake detection using DCNN-based facial similarity scores.

Forensic science international Jun 3, 2023
Detecting DeepFake videos has become a central task in modern multimedia forensics applications. This article presents a method to detect face swapped videos when the portrayed person in the video is known. We propose using a threshold classifier bas...
Humans Neural Networks, Computer Deep Learning Datasets as Topic Face Forensic Sciences Logistic Models Video Recording Automated Facial Recognition
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Internet of Things with Deep Learning-Based Face Recognition Approach for Authentication in Control Medical Systems.

Computational and mathematical methods in medicine Feb 12, 2022
Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role in many applications, including medical and healthcare systems. It can help users in this field get an advantage in terms of enhanced touchless authe...
Pattern Recognition, Automated SARS-CoV-2 Computer Security Deep Learning Algorithms Support Vector Machine Equipment Design Humans Databases, Factual Automated Facial Recognition COVID-19 Computer Simulation Internet of Things
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Effective Face Detector Based on YOLOv5 and Superresolution Reconstruction.

Computational and mathematical methods in medicine Nov 16, 2021
The application of face detection and recognition technology in security monitoring systems has made a huge contribution to public security. Face detection is an essential first step in many face analysis systems. In complex scenes, the accuracy of f...
Algorithms Security Measures Automated Facial Recognition Humans Deep Learning Face Neural Networks, Computer Computational Biology
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Class-Variant Margin Normalized Softmax Loss for Deep Face Recognition.

IEEE transactions on neural networks and learning systems Oct 5, 2021
In deep face recognition, the commonly used softmax loss and its newly proposed variations are not yet sufficiently effective to handle the class imbalance and softmax saturation issues during the training process while extracting discriminative feat...
Neural Networks, Computer Deep Learning Automated Facial Recognition Humans
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AAN-Face: Attention Augmented Networks for Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Sep 8, 2021
Convolutional neural networks are capable of extracting powerful representations for face recognition. However, they tend to suffer from poor generalization due to imbalanced data distributions where a small number of classes are over-represented (e....
Automated Facial Recognition Face Masks Humans COVID-19 Neural Networks, Computer Image Processing, Computer-Assisted
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Structure-Coherent Deep Feature Learning for Robust Face Alignment.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jun 2, 2021
In this paper, we propose a structure-coherent deep feature learning method for face alignment. Unlike most existing face alignment methods which overlook the facial structure cues, we explicitly exploit the relation among facial landmarks to make th...
Anatomic Landmarks Humans Automated Facial Recognition Databases, Factual Face Deep Learning
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Unintentional consequences of artificial intelligence in dermatology for patients with skin of colour.

Clinical and experimental dermatology May 31, 2021
Dermatology Automated Facial Recognition United Kingdom Artificial Intelligence Algorithms Skin Pigmentation Racism Humans
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Adaptive Weighting of Handcrafted Feature Losses for Facial Expression Recognition.

IEEE transactions on cybernetics Apr 15, 2021
Due to the importance of facial expressions in human-machine interaction, a number of handcrafted features and deep neural networks have been developed for facial expression recognition. While a few studies have shown the similarity between the handc...
Middle Aged Deep Learning Automated Facial Recognition Face Young Adult Adult Male Algorithms Female Humans
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Iterative Dynamic Generic Learning for Face Recognition From a Contaminated Single-Sample Per Person.

IEEE transactions on neural networks and learning systems Apr 2, 2021
This article focuses on a new and practical problem in single-sample per person face recognition (SSPP FR), i.e., SSPP FR with a contaminated biometric enrolment database (SSPP-ce FR), where the SSPP-based enrolment database is contaminated by nuisan...
Humans Feedback Machine Learning Neural Networks, Computer Biometric Identification Algorithms Deep Learning Biometry Artificial Intelligence Databases, Factual Automated Facial Recognition
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CapsField: Light Field-Based Face and Expression Recognition in the Wild Using Capsule Routing.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Feb 5, 2021
Light field (LF) cameras provide rich spatio-angular visual representations by sensing the visual scene from multiple perspectives and have recently emerged as a promising technology to boost the performance of human-machine systems such as biometric...
Automated Facial Recognition Information Storage and Retrieval Face Facial Expression Male Deep Learning Image Processing, Computer-Assisted Humans Female
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