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A Survey of Deep Facial Attribute Analysis
[article]
2019
arXiv
pre-print
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In this paper, we provide a comprehensive survey of deep facial attribute analysis from the perspectives of both estimation and manipulation. ...
First, we summarize a general pipeline that deep facial attribute analysis follows, which comprises two stages: data preprocessing and model construction. ...
In this paper, we conduct an in-depth survey of facial attribute analysis based on deep learning, including FAE and FAM. ...
arXiv:1812.10265v3
fatcat:tezgo2angvfefbttuoodnss6t4
A Survey of Deep Facial Attribute Analysis
2020
International Journal of Computer Vision
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In this paper, we provide a comprehensive survey of deep facial attribute analysis from the perspectives of both estimation and manipulation. ...
First, we summarize a general pipeline that deep facial attribute analysis follows, which comprises two stages: data preprocessing and model construction. ...
In this paper, we conduct an in-depth survey of facial attribute analysis based on deep learning, including FAE and FAM. ...
doi:10.1007/s11263-020-01308-z
fatcat:xmlukvd5qbenzkzjacefhcnope
Understanding Beauty via Deep Facial Features
[article]
2019
arXiv
pre-print
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We first deploy a deep convolutional neural network (CNN) to extract facial attributes, and then investigate correlations between these features and attractiveness on two large-scale datasets labelled ...
In this paper, we present a novel study on mining beauty semantics of facial attributes based on big data, with an attempt to objectively construct descriptions of beauty in a quantitative manner. ...
We propose a method and a novel perspective of beauty understanding via deep facial features, which allows us to analyze which facial attributes contribute positively or negatively to beauty perception ...
arXiv:1902.05380v2
fatcat:hzgfwuowqnaw5e2ixtioukuniy
AN OVERVIEW OF FACIAL ATTRIBUTE LEARNING
2021
Tạp chí Khoa học
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A typical CNN model for attribute learning Zhang et al. (2014) proposed PANDA (Pose Align Networks for Deep Attribution), a Deep CNN to classify attributes based on parts of the face image. ...
Using bounding boxes for face detection, authors used VGG-16 for analysis of facial attributes (eyeglasses, smiles, kisses) on the CelebA and LFWA datasets to achieve an average error comparable to the ...
doi:10.54607/hcmue.js.18.3.2896(2021)
fatcat:trplwbymprcwbencm7err3s7vm
Perception of Autism Spectrum Disorder Children by Envisaging Emotions from the Facial Images
2020
International Journal of Engineering and Advanced Technology
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In this paper a new methodology is proposed using optimized deep learning methods to predict ASD in children of age 1 to 10 years. ...
Facial expression can also be used in various fields like emotion recognition, market analysis, prediction neurological disorder percentage, psychological problems and so on. ...
CONCLUSION AND FUTURE WORK Present paper proposed a Deep Neural Network model with multi label classification to predict ASD/NoASD based on facial emotion in ASD and NoASD children. ...
doi:10.35940/ijeat.b1960.1210220
fatcat:3k5xypl3yrbotc7ycb6kk3ekji
Understanding Beauty via Deep Facial Features
2019
2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW)
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We propose a method and a novel perspective of beauty understanding via deep facial features, which allows us to analyze which facial attributes contribute positively or negatively to beauty perception ...
The sample modified facial attributes from left to right are small nose to big nose, male to female, no-makeup to makeup, and young to aged. ...
We further manipulate several facial attributes with a GAN based approach, and validate our findings with a large-scale user survey. ...
doi:10.1109/cvprw.2019.00034
dblp:conf/cvpr/LiuLPOKW19
fatcat:ivziqfodhbaf7ozsr25c7jbmre
Efficient Visual Recognition
2020
International Journal of Computer Vision
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Table 1 1 A brief summary of accepted papers "Efficiency" category
Paper title
Studied visual recognition problem
Survey
A survey to deep facial attribute analysis
Facial attribute analysis
Network ...
Learning hashing codes;
Surveys The paper "A Survey of Deep Facial Attribute Analysis", by Xin Zheng, Yanqing Guo, Huaibo Huang, Yi Li and Ran He, gives a comprehensive survey of deep facial attribute ...
doi:10.1007/s11263-020-01351-w
fatcat:mbcq6shmerbo5njayscgb3t4rq
Deep Learning-based Face Super-resolution: A Survey
2023
ACM Computing Surveys
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To date, few summaries of the studies on the deep learning-based FSR are available. In this survey, we present a comprehensive review of deep learning-based FSR methods in a systematic manner. ...
Second, we elaborate on the facial characteristics and popular datasets used in FSR. Third, we roughly categorize existing methods according to the utilization of facial characteristics. ...
Therefore, to recover facial images with a much clearer facial structure, researchers begin to develop priorguided FSR methods. Deep Learning-based Face Super-resolution: A Survey 13:13 Fig. 5 . ...
doi:10.1145/3485132
fatcat:gxaod3eqs5gkbmtow3k4jrrpvy
Role of Group Level Affect to Find the Most Influential Person in Images
[chapter]
2019
Landolt-Börnstein - Group III Condensed Matter
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In order to identify "Most Influential Person", we proposed a DNN based Multiple Instance Learning (Deep MIL) method which takes deep facial features as input. ...
In order to identify the main visual cues for "Most Influential Person", we conducted a user survey. ...
We use group affect for choosing the same number of faces across images for further analysis because in the survey result people mention emotion attributes for choosing a particular face (for example ' ...
doi:10.1007/978-3-030-11012-3_39
fatcat:hvn3khpyyzaxzcqzqjd2l6qa6u
Deep Personality Trait Recognition: A Survey
2022
Frontiers in Psychology
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Motivated by the great success of deep learning methods in various tasks, a variety of deep neural networks have increasingly been employed to learn high-level feature representations for automatic personality ...
This paper systematically presents a comprehensive survey on existing personality trait recognition methods from a computational perspective. ...
In this work, our contributions can be summarized as follows: (1) We provide an up-to-date literature survey on deep personality trait analysis from a perspective of both single modality and multiple modalities ...
doi:10.3389/fpsyg.2022.839619
pmid:35645923
pmcid:PMC9136483
fatcat:5eh2ohzjwff5jb4yjn6rzrw5ye
Cloud-Based Facial Expression Recognition System for Customer Satisfaction in Distribution Sectors
2020
Innovative Computing Information and Control Express Letters, Part B: Applications
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The survey method can, however, be expensive, in terms of man power and time, and it is difficult to grasp customer complaints in real time. ...
In this matter, it is essential how to measure the customer satisfaction, but the traditional methods, like the survey method, are still widely used in the distribution process. ...
In this paper, we propose a system architecture that can automate the existing passive satisfaction survey method by using image analysis method based on deep learning. ...
doi:10.24507/icicelb.11.02.173
fatcat:lj6aibkfc5dnjh2ios3tb23xyu
Deep Learning-based Face Super-Resolution: A Survey
[article]
2021
arXiv
pre-print
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To date, few summaries of the studies on the deep learning-based FSR are available. In this survey, we present a comprehensive review of deep learning-based FSR methods in a systematic manner. ...
Second, we elaborate on the facial characteristics and popular datasets used in FSR. Third, we roughly categorize existing methods according to the utilization of facial characteristics. ...
We also compare the performance of state-of-the-arts and give some deep analysis. ...
arXiv:2101.03749v2
fatcat:q56d2mpn4rfyzmi5fo36d2ecja
Anatomizing Bias in Facial Analysis
2022
PROCEEDINGS OF THE THIRTIETH AAAI CONFERENCE ON ARTIFICIAL INTELLIGENCE AND THE TWENTY-EIGHTH INNOVATIVE APPLICATIONS OF ARTIFICIAL INTELLIGENCE CONFERENCE
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Existing facial analysis systems have been shown to yield biased results against certain demographic subgroups. ...
We also discuss open challenges in the field of biased facial analysis. ...
This research presents a systematic survey of bias in facial analysis tasks as opposed to the broader topic of biometrics addressed in (Drozdowski et al. 2020) . ...
doi:10.1609/aaai.v36i11.21500
fatcat:lbuwkwaganfkxlzy55ir5lyngi
Deep CNN and Deep GAN in Computational Visual Perception-Driven Image Analysis
2021
Complexity
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In-depth analysis of deep generative adversarial network applications, namely, image-to-image translation, image denoising, face aging, and facial attribute editing, is done. ...
The survey explores various deep learning techniques adapted to solve computer vision problems using deep convolutional neural networks and deep generative adversarial networks. ...
Face Aging and Facial Attribute Editing. Deep GANbased methods have been proposed to alter facial attributes to anticipate a person's future look. ...
doi:10.1155/2021/5541134
fatcat:xluxbl7kojbvxpjq5u726d3djm
2021 Index IEEE Transactions on Affective Computing Vol. 12
2022
IEEE Transactions on Affective Computing
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Departments and other items may also be covered if they have been judged to have archival value. The Author Index contains the primary entry for each item, listed under the first author's name. ...
2021 707-721 Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction. viduals and Groups. ...
., +, TAFFC April -June 2021 377-390 Bio-Inspired Deep Attribute Learning Towards Facial Aesthetic Prediction. Xu, M., +, TAFFC Jan. ...
doi:10.1109/taffc.2021.3132546
fatcat:qjxf4chxybaelmyrlnhiesanai
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