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Deeper cascaded peak-piloted network for weak expression recognition · Study

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ArticleDeeper cascaded peak-piloted network for weak expression recognition

Zhenbo Yu2017

Article2017

Deeper cascaded peak-piloted network for weak expression recognition

Zhenbo Yu · Qinshan Liu · Guangcan Liu

80 citations·0/0 files stored·The Visual Computer

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Emotion and Mood Recognition Face recognition and analysis Face and Expression Recognition

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References

2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression 2015Joint Fine-Tuning in Deep Neural Networks for Facial Expression Recognition 2005Recognizing Facial Expression: Machine Learning and Application to Spontaneous Behavior 2015Image based Static Facial Expression Recognition with Multiple Deep Network Learning 2016Video-based emotion recognition using CNN-RNN and C3D hybrid networks 2015A Main Directional Mean Optical Flow Feature for Spontaneous Micro-Expression Recognition 2015Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis 2016Peak-Piloted Deep Network for Facial Expression Recognition

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2020Fine-Grained Facial Expression Recognition in the Wild 2019Facial emotion detection using modified eyemap–mouthmap algorithm on an enhanced image and classification with tensorflow

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2018Spatio-temporal convolutional features with nested LSTM for facial expression recognitionarticle · 8 shared references 2019Deep convolutional BiLSTM fusion network for facial expression recognitionarticle · 8 shared references 2024Advances in Facial Expression Recognition: A Survey of Methods, Benchmarks, Models, and Datasetsarticle · 6 shared references 2020Deep Joint Spatiotemporal Network (DJSTN) for Efficient Facial Expression Recognitionarticle · 6 shared references 2018Multi-cue fusion for emotion recognition in the wildarticle · 6 shared references 2021Facial Expression Recognition: A Review of Trends and Techniquesarticle · 6 shared references

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Year2017

Typearticle

Published2017-09-22

VenueThe Visual Computer

ISSN-L0178-2789

Languageen

Citations80

Files0 public / 0

ShelfEmotion and Mood Recognition

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doi10.1007/s00371-017-1443-0

openalex_workW2760073239

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