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A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM
[article]
2020
arXiv
pre-print
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To address these problems, we design a multi-stream convolutional neural network (MSCNN) for ME recognition in this paper. ...
Micro-expression (ME) recognition plays a crucial role in a wide range of applications, particularly in public security and psychotherapy. ...
CONCLUSION In this paper, we propose a MSCNN for ME recognition using optical flow and EVM. ...
arXiv:2011.03756v2
fatcat:5ey2zm4e65hmvg7xdblgcre2zi
Multi-scale joint feature network for micro-expression recognition
2021
Computational Visual Media
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Therefore, we propose a multi-scale joint feature network based on optical flow images for micro-expression recognition. ...
The optical flow image is then fed into the multi-scale joint network for feature extraction and classification. ...
Instead, we use features in different layers in a single convolutional neural network, and propose a multi-scale joint feature network based on optical flow images. ...
doi:10.1007/s41095-021-0217-9
fatcat:msu6qc6oxrdjvccqwdt2xhdsyy
Deep Learning for Micro-expression Recognition: A Survey
[article]
2021
arXiv
pre-print
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In this survey, we provide a comprehensive review of deep micro-expression recognition (MER), including datasets, deep MER pipeline, and the bench-marking of most influential methods. ...
Recently, with the success of deep learning (DL) in various fields, neural networks have received increasing interests in MER. ...
DEEP NETWORKS FOR MER Convolutional Neural Networks (CNNs) have shown excellent performances for various computer vision tasks, such as action recognition [155] and facial expression recognition [18 ...
arXiv:2107.02823v4
fatcat:w2bqbvxw4zbc7jjnqmx2gmh5aa
Meta-MMFNet: Meta-Learning Based Multi-Model Fusion Network for Micro-Expression Recognition
2022
ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)
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for micro-expression classification. ...
Despite its wide applications in criminal investigations and clinical communications with patients suffering from autism, automatic micro-expression recognition remains a challenging problem because of ...
ACKNOWLEDGMENTS Jordi Gonzàlez acknowledges the support by the Spanish Ministry of Economy and Competitiveness (MINECO) and the European Regional Development Fund (ERDF) under Project PID2020-120311RB-I00 ...
doi:10.1145/3539576
fatcat:77cqybz7abh6ffqgcweb5xgsmy
Spatiotemporal Recurrent Convolutional Networks for Recognizing Spontaneous Micro-expressions
[article]
2019
arXiv
pre-print
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To exploit the merits of deep learning, we propose a novel deep recurrent convolutional networks based micro-expression recognition approach, capturing the spatial-temporal deformations of micro-expression ...
Specifically, the proposed deep model is constituted of several recurrent convolutional layers for extracting visual features and a classificatory layer for recognition. ...
., spatiotemporal recurrent convolutional networks) for recognizing micro-expressions. ...
arXiv:1901.04656v1
fatcat:ult7ygvlyvfopnehjjwb7e4rce
Video-based Facial Micro-Expression Analysis: A Survey of Datasets, Features and Algorithms
[article]
2022
arXiv
pre-print
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We then perform a unified comparison of representative methods on CAS(ME)2 for spotting, and on MMEW and SAMM for recognition, respectively. ...
Accordingly, in this survey paper, we first highlight the key differences between macro- and micro-expressions, then use these differences to guide our research survey of video-based micro-expression analysis ...
Their optical flow features are input into DTSCNN, which is a two-stream network containing 3D convolution and pooling units. ...
arXiv:2201.12728v1
fatcat:h2l3ypvdmnaabe6w7jsdzxyhvu
Motion magnification multi-feature relation network for facial microexpression recognition
2022
Complex & Intelligent Systems
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On CASME II datasets, MMFRN outperforms the traditional recognition methods and other neural networks. ...
Also, a motion magnification multi-feature relation network (MMFRN) combining video motion amplification and two feature relation modules was proposed. ...
Acknowledgements We would like to thank Professor Yutang Ye and all the staff at MOEMIL Laboratory for their help in this study. Author contributions JZ, BY, and XD conceived the original method. ...
doi:10.1007/s40747-022-00680-2
fatcat:rdypoba2qra4zloxkwdfnyl2ni
Massively Parallel Amplitude-Only Fourier Neural Network
[article]
2020
arXiv
pre-print
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We exemplary realize a convolutional neural network (CNN) performing classification tasks on 2-Megapixel large matrices at 10 kHz rates, which latency-outperforms current GPU and phase-based display technology ...
Training this optical convolutional layer on image classification tasks and utilizing it in a hybrid optical-electronic CNN, shows classification accuracy of 98% (MNIST) and 54% (CIFAR-10). ...
As a proof-of-principle demonstration, we constructed a Neural Network which uses, as convolutional layer, the electro-optical convolutional engine for classifying handwritten digits (MNIST) and colour ...
arXiv:2008.05853v2
fatcat:jghonjlavna4xa72xvbxtbcjhy
A Review on Facial Micro-Expressions Analysis: Datasets, Features and Metrics
[article]
2018
arXiv
pre-print
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Micro-expression has shorter duration than macro-expression, which makes it more challenging for human and machine. ...
The aim of this paper is to provide the insights of automatic micro-expressions and recommendations for future research. ...
Xiaolan Fu of The Institute of Psychology, Chinese Academy of Sciences for offering CASME II micro-expression database for this research. ...
arXiv:1805.02397v1
fatcat:m2swuwmxp5hvlgsbzp6hnelse4
A Systematic Review on Affective Computing: Emotion Models, Databases, and Recent Advances
[article]
2022
arXiv
pre-print
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Firstly, we introduce two typical emotion models followed by commonly used databases for affective computing. ...
., emotion recognition and sentiment analysis). ...
Except for the efficient network architectures with attention networks or loss functions [271] , there is a fast and light manifold convolutional neural network (FLM-CNN) based on the multi-scale encoding ...
arXiv:2203.06935v3
fatcat:h4t3omkzjvcejn2kpvxns7n2qe
Program
2021
2021 IEEE International Conference on Consumer Electronics-Taiwan (ICCE-TW)
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with neural network algorithm in a free space optical (FSO) channel. ...
Science and Technology, Taiwan)
Words are used to express the meaning that an expressor wants to express, and when humans use
words to express themselves, they must have a purpose for expressing ...
doi:10.1109/icce-tw52618.2021.9602919
fatcat:aetmvxb7hfah7iuucbamos2wgu
Program
2021
2021 National Conference on Communications (NCC)
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Nonetheless, not every problem can and should be solved using deep neural networks (DNNs). ...
The streaming codes discussed here may be viewed at the packet level as convolutional codes, but which are yet built out of scalar block codes by employing a diagonal-embedding technique. ...
The classification is performed using a neural network that is designed with only convolutional layers. ...
doi:10.1109/ncc52529.2021.9530194
fatcat:ahdw5ezvtrh4nb47l2qeos3dwq
Camera Measurement of Physiological Vital Signs
[article]
2021
arXiv
pre-print
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This paper presents a comprehensive survey of camera measurement of physiological vital signs, describing they vital signs that can be measured and the computational techniques for doing so. ...
Building on advances in optics, machine learning, computer vision and medicine these techniques have progressed significantly since the invention of digital cameras. ...
I would also like to thank Wenjin Wang and Sander Stuijk for co-organizing the Computer Vision for Physiological Measurement (CVPM) workshops which have helped to consolidate the research community around ...
arXiv:2111.11547v1
fatcat:47l2buzxg5ht5lhrqsuszjha6a
Advanced Photonic and Electronic Systems WILGA 2017
2017
International Journal of Electronics and Telecommunications
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WILGA annual symposium on advanced photonic and electronic systems has been organized by young scientist for young scientists since two decades. ...
Wilga is a very good digest of Ph.D. works carried out at technical universities in electronics and photonics, as well as information sciences throughout Poland and some neighboring countries. ...
Different analytic methods are used including convolutional neural networks. ...
doi:10.1515/eletel-2017-0060
fatcat:uaiab4wmcjb33ao32d7q4tcucq
Communicating Using Spatial Mode Multiplexing: Potentials, Challenges and Perspectives
[article]
2019
arXiv
pre-print
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Using space as a new dimension for communication systems has been recently suggested as a versatile technique to address future bandwidth issues. ...
We review the potentials of harnessing the space as an additional degree of freedom for communication applications including free space optics, optical fiber installation, underwater wireless optical links ...
CNN Convolutional Neural Network CSI Channel State Information DFT Discrete Fourier Transform DGD Differential Group Delay DMD Digital Micro-mirror Device DMG Differential Modal Gain DMGD Differential ...
arXiv:1808.02462v3
fatcat:ug65t42cd5d7fnxikx3mouydoa
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