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Identity-aware convolutional neural networks for facial expression recognition

2017 Journal of Systems Engineering and Electronics  
To address such a challenge, and inspired by the recent success of deep identity network (DeepID-Net) for face identification, this paper proposes a novel deep learning based framework for recognising  ...  Facial expression recognition is a hot topic in computer vision, but it remains challenging due to the feature inconsistency caused by person-specific characteristics of facial expressions.  ...  Acknowledgement The authors would like to acknowledge CSC-IT Center for Science, Finland for generous computational resources, and the donations of Tesla K40 GPU from NVIDIA for supporting our academic  ... 
doi:10.21629/jsee.2017.04.18 fatcat:ze3vmxrelzfxfkvpmdymvxxavq

Racial Identity-Aware Facial Expression Recognition Using Deep Convolutional Neural Networks

Muhammad Sohail, Ghulam Ali, Javed Rashid, Israr Ahmad, Sultan H. Almotiri, Mohammed A. AlGhamdi, Arfan A. Nagra, Khalid Masood
2021 Applied Sciences  
In this research, a joint deep learning approach called racial identity aware deep convolution neural network is developed to recognize the multicultural facial expressions.  ...  Then, the racial identity aware network and racial identity network jointly learn the racial identity aware facial expressions.  ...  Convolution neural network (CNN) based models have been widely used for racial identity recognition and facial emotions recognition. Vo et al.  ... 
doi:10.3390/app12010088 fatcat:jx4yh4sgobbgnbup7nrx3qhdpm

2021 16TH IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)

2021 2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)  
Two-stream Gabor-AGraph Convolutional Networks for Facial Expression Recognition Shaoping Jiang; Xiangmin Xu; Fang Liu; Xiaofen Xing; Lin Wang 36.  ...  Exploiting Emotional Dependencies with Graph Convolutional Networks for Facial Expression Recognition Panagiotis Antoniadis; Panagiotis P Filntisis; Petros Maragos 47.  ... 
doi:10.1109/fg52635.2021.9667043 fatcat:q67llypbybbrbacdiyia6hs2pe

E2-Capsule Neural Networks for Facial Expression Recognition Using AU-Aware

Shan Cao, Yuqian Yao, Gaoyun An
2020 IET Image Processing  
In this study, one double enhanced capsule neural network (E2-Capsnet) that uses AU-aware attention for facial expression recognition (FER) is proposed.  ...  The first enhancement module is the convolutional neural network with AU-aware attention, which can focus on the active areas of the expression.  ...  So our proposed E2-Capsnet using AU-aware attention is likely to be effective for face recognition and facial AU detection.  ... 
doi:10.1049/iet-ipr.2020.0063 fatcat:xjjycm6yuvbxpndndzceiz55ne

Facial Expressions Recognition in Thermal Images based on Deep Learning Techniques

Yomna M. Elbarawy, Faculty of Science, Al-Azhar University, Cairo, Egypt, Neveen I. Ghali, Rania Salah El-Sayed
2019 International Journal of Image Graphics and Signal Processing  
This paper gives attention for exploring the human sentimental state in thermal images through Facial Expression Recognition (FER) by utilizing Convolutional Neural Network (CNN).  ...  Facial expressions are undoubtedly the best way to express human attitude which is crucial in social communications.  ...  Fig. 3 . 3 General convolutional neural network architecture. Fig. 4 .- 7 Fig. 5 . 475 Scheme for facial expression recognition system B.  ... 
doi:10.5815/ijigsp.2019.10.01 fatcat:fazv7lkmsbcdbfwwccz2k45yme

Detection and Localization of Facial Expression Manipulations [article]

Ghazal Mazaheri, Amit K. Roy-Chowdhury
2021 arXiv   pre-print
To address this problem, we propose a framework that is able to detect manipulations in facial expression using a close combination of facial expression recognition and image manipulation methods.  ...  With the addition of feature maps extracted from the facial expression recognition framework, our manipulation detector is able to localize the manipulated region.  ...  In the Facial Expression Recognition system, we pass an image X m i through the shared convolutional network Conv and an ensemble of B convolutional networks {E b } B b=1 to generate B different feature  ... 
arXiv:2103.08134v1 fatcat:hbhkuv6dibbgpnsor6mia5bepi

Facial Data Visualization for Improved Deep Learning Based Emotion Recognition

Lee, Seung Ho
2019 Journal of Information Science Theory and Practice  
A convolutional neural network (CNN) has been widely used in facial expression recognition (FER) because it can automatically learn discriminative appearance features from an expression image.  ...  Specifically, instead of an original expression image that contains facial appearance only, the expression image with facial geometry visualization is used as input to CNN.  ...  Fig. 3 . 3 Convolutional neural network model used in this paper. Fig. 4 . 4 Facial geometry visualizations for neutral image and expressive image.  ... 
doi:10.1633/jistap.2019.7.2.3 doaj:beee423994124f42953f01b16c6d7a2a fatcat:yzlqpqav2nfjdcvl6uc4siqyla

Facial Expression Analysis Based on High Dimensional Binary Features [chapter]

Samira Ebrahimi Kahou, Pierre Froumenty, Christopher Pal
2015 Lecture Notes in Computer Science  
Here, we examine the problem of expression recognition in static facial images.  ...  The approach yields state of the art performance at 96.8% accuracy for detecting facial expressions on the well known Cohn-Kanade plus (CK+) evaluation and 93.2% for smile detection on the GENKI dataset  ...  Acknowledgments We thank Yoshua Bengio and Pascal Vincent for helpful discussions. We also thank NSERC and Ubisoft for their support.  ... 
doi:10.1007/978-3-319-16181-5_10 fatcat:ig4vkqhhwff7hdpcniknd5ilte

Facial Emotion Recognition using Convolutional Neural Networks [article]

Akash Saravanan, Gurudutt Perichetla, Dr. K. S. Gayathri
2019 arXiv   pre-print
Facial expression recognition is a topic of great interest in most fields from artificial intelligence and gaming to marketing and healthcare.  ...  A number of different models were experimented with, including decision trees and neural networks before arriving at a final Convolutional Neural Network (CNN) model.  ...  The model consists of two convolutional neural networks -the first is trained with facial expression databases whereas the second is a DeepID network used for learning identity features.  ... 
arXiv:1910.05602v1 fatcat:ygzxssxvm5eo3ajjk6s42e5yti

Pain expression assessment based on a locality and identity aware network

Xuwu Xin, Xiaowu Li, Shengfu Yang, Xiaoyan Lin, Xin Zheng
2021 IET Image Processing  
However, they always ignore the locality and individual differences of painful expression. Therefore, a locality and identity aware network (LIAN) for pain assessment is presented here.  ...  As for the individual differences, an identity aware module with a multi-task method is proposed to represent identity-related information to achieve identity-invariant pain assessment.  ...  Specifically, convolutional neural networks (CNNs) [14, 15] , recurrent convolutional neural network (RCNN) [16] , the combination of CNNs and recurrent neural networks (RNNs) [17] , and 3D CNNs [18  ... 
doi:10.1049/ipr2.12282 fatcat:d7ywlj2qcrad3pag5gzljgekva

Fusion of Machine Learning and Privacy Preserving for Secure Facial Expression Recognition

Asad Ullah, Jing Wang, M. Shahid Anwar, Arshad Ahmad, Shah Nazir, Habib Ullah Khan, Zesong Fei, Amir Anees
2021 Security and Communication Networks  
The interest in Facial Expression Recognition (FER) is increasing day by day due to its practical and potential applications, such as human physiological interaction diagnosis and mental disease detection  ...  Therefore, the proposed network is capable of spatial transformation due to the action unit aware mechanism and thus forwards the most desiring features for dynamic routing between capsules.  ...  Identity-Aware CNN (IACNN) proposed that by reducing the influence of identity-related information with the use of expression and identity-sensitive contrastive losses, the facial expression recognition  ... 
doi:10.1155/2021/6673992 fatcat:r27f6gh6k5d5raawzc4hhq2coe

Negative Emotions Sensitive Humanoid Robot with Attention-Enhanced Facial Expression Recognition Network

Rongrong Ni, Xiaofeng Liu, Yizhou Chen, Xu Zhou, Huili Cai, Loo Chu Kiong
2022 Intelligent Automation and Soft Computing  
Tong, “Identity-aware convolutional neural network for facial expression recognition,” in 2017 12th IEEE Int.  ...  Sciutti, “The FaceChannel: A light-weight deep neural network for facial expression recognition,” in 2020 15th IEEE Int.  ... 
doi:10.32604/iasc.2022.026813 fatcat:xqh3mo56izbqzbjfe7hlswmsua

An Separation of Different Facial Expression Recognition System

2019 VOLUME-8 ISSUE-10, AUGUST 2019, REGULAR ISSUE  
During preprocessing measures for picture recognition to remove only expression-specific characteristics from the face and prevent their issues with a convolution neural network.  ...  To enhance the recognition frequency of facial image recognition, feelings are chosen by the vibrant Bayesian network technique to depict the development of facial awareness in addition to various emotional  ...  We also express our gratitude to our teachers and mentors for guiding us throughout the work.  ... 
doi:10.35940/ijitee.f1090.0486s419 fatcat:ul7lybraljaalpbqjk42azkoai

Empirical Investigation of Multimodal Sensors in Novel Deep Facial Expression Recognition In-the-Wild

Asad Ullah, Jing Wang, M. Shahid Anwar, Taeg Keun Whangbo, Yaping Zhu, Giuseppe Quero
2021 Journal of Sensors  
The interest in the facial expression recognition (FER) is increasing day by day due to its practical and potential applications, such as human physiological interaction diagnosis and mental diseases detection  ...  Therefore, the proposed network is capable of spatial transformation due to action unit aware mechanism and thus forward most desiring features for dynamic routing between capsules.  ...  Identity-Aware CNN (IACNN) proposed that by reducing the influence of identity-related information with the use of expression and identity-sensitive contrastive losses, the facial expression recognition  ... 
doi:10.1155/2021/8893661 fatcat:xb37qfpxrjhc7e5bp2j4r4mzbe

Deep-Emotion: Facial Expression Recognition Using Attentional Convolutional Network

Shervin Minaee, Mehdi Minaei, Amirali Abdolrashidi
2021 Sensors  
In recent years, several works proposed an end-to-end framework for facial expression recognition using deep learning models.  ...  Facial expression recognition has been an active area of research over the past few decades, and it is still challenging due to the high intra-class variation.  ...  Acknowledgments: We express our gratitude to the people at University of Washington Graphics and Imaging Lab (GRAIL) for providing us with access to the FERG database.  ... 
doi:10.3390/s21093046 pmid:33925371 fatcat:awrun3leqrfcri5zneikh4v4rq
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