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A Review of Information Representation of User's Micro-Expressions
Zhishi guanli luntan, 2023 [Purpose/Significance] To analyze the current status and trends of research in the field of micro-expression recognition at home and abroad, and to provide a reference for the research on micro-expression information representation of
Liu Yang +4 more
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Micro-Expression Recognition Method Combining Transfer Learning and Separable 3D Convolution [PDF]
Jisuanji gongcheng, 2022 The existing automatic micro-expression recognition methods are limited in accuracy, and suffer from inadequate micro-expression samples.To address the problem, a micro-expression recognition method that combines transfer learning and a Separable 3D ...
LIANG Zhengyou, LIU Dezhi, SUN Yu
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Sparse MDMO: learning a discriminative feature for micro-expression recognition [PDF]
, 2021 Micro-expressions are the rapid movements of facial muscles that can be used to reveal concealed emotions. Recognizing them from video clips has a wide range of applications and receives increasing attention recently.
Lai, Yukun, Li, Bing-Jun, Liu, Yong-Jin
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A Novel Apex-Time Network for Cross-Dataset Micro-Expression Recognition [PDF]
, 2019 The automatic recognition of micro-expression has been boosted ever since the successful introduction of deep learning approaches. As researchers working on such topics are moving to learn from the nature of micro-expression, the practice of using deep ...
Bi, Tao +5 more
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Research Progress and Application Prospect of Facial Micro-Expression Analysis in Forensic Psychiatry [PDF]
Fayixue Zazhi, 2023 Research on facial micro-expression analysis has been going on for decades. Micro-expression can reflect the true emotions of individuals, and it has important application value in assisting auxiliary diagnosis and disease monitoring of mental disorders.
Wen LI, Hao-zhe LI, Chen CHEN, Wei-xiong CAI
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Frontiers in Neurorobotics, 2020 Microexpression is usually characterized by short duration and small action range, and the existing general expression recognition algorithms do not work well for microexpression.
Junli Gao +4 more
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Macro- and Micro-Expressions Facial Datasets: A Survey [PDF]
Sensors, 2022 Automatic facial expression recognition is essential for many potential applications. Thus, having a clear overview on existing datasets that have been investigated within the framework of face expression recognition is of paramount importance in designing and evaluating effective solutions, notably for neural networks-based training.
Hajer Guerdelli +4 more
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Associations between workplace emotional intelligence and micro expression recognition
Acta Psychologica, 2023 We investigated relationships between emotional intelligence, micro expression recognition and professional performance in two pre-registered cross-sectional studies.
Kasia Wezowski, Ian Penton-Voak
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Micro‐expression recognition by two‐stream difference network
IET Computer Vision, 2021 Facial micro‐expression is a superposition of micro‐expression features and identity information of a subject. For the problem of identity information interference in micro‐expression recognition, this study proposes a new method for facial micro ...
Hang Pan +4 more
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Recognising spontaneous facial micro-expressions [PDF]
2011 International Conference on Computer Vision, 2011 Facial micro-expressions are rapid involuntary facial expressions which reveal suppressed affect. To the best knowledge of the authors, there is no previous work that successfully recognises spontaneous facial micro-expressions. In this paper we show how a temporal interpolation model together with the first comprehensive spontaneous micro-expression ...
Zhao Guoying +3 more
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