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A Multi-stream Convolutional Neural Network for Micro-expression Recognition Using Optical Flow and EVM [article]

Jinming Liu, Ke Li, Baolin Song, Li Zhao
2020 arXiv   pre-print
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

Xinyu Li, Guangshun Wei, Jie Wang, Yuanfeng Zhou
2021 Computational Visual Media  
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]

Yante Li, Jinsheng Wei, Yang Liu, Janne Kauttonen, Guoying Zhao
2021 arXiv   pre-print
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

Wenjuan Gong, Yue Zhang, Wei Wang, Peng Cheng, Jordi Gonzàlez
2022 ACM Transactions on Multimedia Computing, Communications, and Applications (TOMCCAP)  
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]

Zhaoqiang Xia, Xiaopeng Hong, Xingyu Gao, Xiaoyi Feng, Guoying Zhao
2019 arXiv   pre-print
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]

Xianye Ben and Yi Ren and Junping Zhang and Su-Jing Wang and Kidiyo Kpalma, Weixiao Meng, Yong-Jin Liu
2022 arXiv   pre-print
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

Jing Zhang, Boyun Yan, Xiaohui Du, Quanhao Guo, Ruqian Hao, Juanxiu Liu, Lin Liu, Guangming Ni, Xiechuan Weng, Yong Liu
2022 Complex & Intelligent Systems  
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]

Mario Miscuglio, Zibo Hu, Shurui Li, Jonathan George, Roberto Capanna, Philippe M. Bardet, Puneet Gupta, Volker J. Sorger
2020 arXiv   pre-print
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]

Walied Merghani and Adrian K. Davison and Moi Hoon Yap
2018 arXiv   pre-print
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]

Yan Wang, Wei Song, Wei Tao, Antonio Liotta, Dawei Yang, Xinlei Li, Shuyong Gao, Yixuan Sun, Weifeng Ge, Wei Zhang, Wenqiang Zhang
2022 arXiv   pre-print
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)  
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)  
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]

Daniel McDuff
2021 arXiv   pre-print
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

Ryszard S. Romaniuk
2017 International Journal of Electronics and Telecommunications  
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]

Abderrahmen Trichili, Ki-Hong Park, Mourad Zghal, Boon S. Ooi, Mohamed-Slim Alouini
2019 arXiv   pre-print
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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