AIMC Topic: Automated Facial Recognition

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Deep Coattention-Based Comparator for Relative Representation Learning in Person Re-Identification.

IEEE transactions on neural networks and learning systems Feb 4, 2021
Person re-identification (re-ID) favors discriminative representations over unseen shots to recognize identities in disjoint camera views. Effective methods are developed via pair-wise similarity learning to detect a fixed set of region features, whi...
Databases, Factual Reproducibility of Results Deep Learning Software Algorithms Attention Automated Facial Recognition Biometric Identification Image Processing, Computer-Assisted Benchmarking Neural Networks, Computer Artificial Intelligence Humans
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Face Hallucination With Finishing Touches.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Jan 14, 2021
Obtaining a high-quality frontal face image from a low-resolution (LR) non-frontal face image is primarily important for many facial analysis applications. However, mainstreams either focus on super-resolving near-frontal LR faces or frontalizing non...
Automated Facial Recognition Face Female Male Image Processing, Computer-Assisted Humans Machine Learning
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Generating photo-realistic training data to improve face recognition accuracy.

Neural networks : the official journal of the International Neural Network Society Nov 27, 2020
Face recognition has become a widely adopted biometric in forensics, security and law enforcement thanks to the high accuracy achieved by systems based on convolutional neural networks (CNNs). However, to achieve good performance, CNNs need to be tra...
Photography Facial Recognition Machine Learning Automated Facial Recognition Humans Neural Networks, Computer
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Robust facial landmark detection by cross-order cross-semantic deep network.

Neural networks : the official journal of the International Neural Network Society Nov 16, 2020
Recently, convolutional neural networks (CNNs)-based facial landmark detection methods have achieved great success. However, most of existing CNN-based facial landmark detection methods have not attempted to activate multiple correlated facial parts ...
Humans Semantics Face Semantic Web Neural Networks, Computer Automated Facial Recognition
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Lightweight and Resource-Constrained Learning Network for Face Recognition with Performance Optimization.

Sensors (Basel, Switzerland) Oct 27, 2020
Despite considerable progress in face recognition technology in recent years, deep learning (DL) and convolutional neural networks (CNN) have revealed commendable recognition effects with the advent of artificial intelligence and big data. FaceNet wa...
Deep Learning Automated Facial Recognition Head Neural Networks, Computer Artificial Intelligence Algorithms Humans
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A Novel Use of Artificial Intelligence to Examine Diversity and Hospital Performance.

The Journal of surgical research Oct 21, 2020
BACKGROUND: The US population is becoming more racially and ethnically diverse. Research suggests that cultural diversity within organizations can increase team potency and performance, yet this theory has not been explored in the field of surgery. F...
Gender Equity Gastroenterology Female Outcome Assessment, Health Care Hospital Departments Ethnicity Patient Satisfaction Humans United States Male Automated Facial Recognition Quality Assurance, Health Care Minority Groups Quality Indicators, Health Care Cultural Diversity Artificial Intelligence
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Development of a Robust Multi-Scale Featured Local Binary Pattern for Improved Facial Expression Recognition.

Sensors (Basel, Switzerland) Sep 21, 2020
Compelling facial expression recognition (FER) processes have been utilized in very successful fields like computer vision, robotics, artificial intelligence, and dynamic texture recognition. However, the FER's critical problem with traditional local...
Humans Algorithms Facial Expression Support Vector Machine Automated Facial Recognition
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FPGAN: Face de-identification method with generative adversarial networks for social robots.

Neural networks : the official journal of the International Neural Network Society Sep 20, 2020
In this paper, we propose a new face de-identification method based on generative adversarial network (GAN) to protect visual facial privacy, which is an end-to-end method (herein, FPGAN). First, we propose FPGAN and mathematically prove its converge...
Robotics Data Anonymization Automated Facial Recognition Humans Image Processing, Computer-Assisted
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Face and Body-Based Human Recognition by GAN-Based Blur Restoration.

Sensors (Basel, Switzerland) Sep 14, 2020
The long-distance recognition methods in indoor environments are commonly divided into two categories, namely face recognition and face and body recognition. Cameras are typically installed on ceilings for face recognition. Hence, it is difficult to ...
Biometric Identification Databases, Factual Image Processing, Computer-Assisted Automated Facial Recognition Humans Motion Neural Networks, Computer Face
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End-to-End Training for Compound Expression Recognition.

Sensors (Basel, Switzerland) Aug 21, 2020
For a long time, expressions have been something that human beings are proud of. That is an essential difference between us and machines. With the development of computers, we are more eager to develop communication between humans and machines, espec...
Facial Expression Automated Facial Recognition Face Humans Deep Learning Emotions
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