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社区首页 >专栏 >近几年Facial Expression Recognition相关文章

近几年Facial Expression Recognition相关文章

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修改2018-11-26 14:26:00
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修改2018-11-26 14:26:00
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文章被收录于专栏:阅读笔记

2018 年 CVPR

(1)Facial Expression Recognition by De-expression Residue Learning

(2)Joint Pose and Expression Modeling for Facial Expression Recognition

(3)A Compact Deep Learning Model for Robust Facial Expression Recognition

2017 年

(1)Identity-aware convolutional neural network for facial expression recognition (In Automatic Face & Gesture Recognition (FG 2017))

(2)Facenet2expnet: Regularizing a deep face recognition net for expression recognition(In Automatic Face & Gesture Recognition (FG 2017))

(3)Facial expression recognition with convolutional neural networks: Coping with few data and the training sample order. (Pattern Recognition)

2016 年

(1)Peak-piloted deep network for facial expression Recognition (ECCV)

(2)Lomo: Latent ordinal model for facial analysis in videos ( arXiv)

(3)How deep neural networks can improve emotion recognition on video data (ICIP)

(4)A deep neural network-driven feature learning method for multi-view facial expression recognition (TMM)

(5)Peak-piloted deep network for facial expression Recognition (ECCV)

2015 年

(1)Joint fine-tuning in deep neural networks for facial expression recognition (CVPR)

(2)Automatic 3d facial expression recognition using geometric scattering representation (In Automatic Face & Gesture Recognition (FG 2017))

(3)An efficient multimodal 2d+ 3d feature-based approach to automatic facial expression recognition. (Computer Vision and Image Understanding)

(4)Multi-view facial expressions recognition using local linear regression of sparse codes (In Computer Vision Winter Workshop Paul Wohlhart)

(5)Joint fine-tuning in deep neural networks for facial expression recognition (ICCV)

(6)Exemplar hidden markov models for classification of facial expressions in videos (CVPR)

2014 年

(1)Learning expressionlets on spatio-temporal manifold for dynamic facial expression recognition (CVPR)

(2)Facial expression recognition via a boosted deep belief network (CVPR)

(3)Supervised super-vector encoding for facial expression recognition

(4)Multi-view facial expression recognition based on group sparse reduced-rank regression (TAC)

(5)Learning expressionlets on spatio-temporal manifold for dynamic facial expression recognition (CVPR)

(6)Deeply learning deformable facial action parts model for dynamic expression analysis (In Asian Conference on Computer Vision)

2013 年

(1)Maximum margin gmm learning for facial expression recognition (FG)

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

原创声明:本文系作者授权腾讯云开发者社区发表,未经许可,不得转载。

如有侵权,请联系 cloudcommunity@tencent.com 删除。

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