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Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis · Study

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Deeply Learning Deformable Facial Action Parts Model for Dynamic Expression Analysis

Mengyi Liu, Shaoxin Li, Shiguang Shan, Ruiping Wang, Xilin Chen

2015-01-01otherLecture notes in computer science336 citationsclosed

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

Abstract

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Citations in this library

Stored only when both papers are in the corpus — 336 citations exist upstream.

References

2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression

2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions

2002Comprehensive database for facial expression analysis

2013Combining modality specific deep neural networks for emotion recognition in video

Cited by

2017Identity-Aware Convolutional Neural Network for Facial Expression Recognition

2016Peak-Piloted Deep Network for Facial Expression Recognition

2017Deep Pain: Exploiting Long Short-Term Memory Networks for Facial Expression Classification

2017Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks

2017Multi-Objective Based Spatio-Temporal Feature Representation Learning Robust to Expression Intensity Variations for Facial Expression Recognition

2017Video-based emotion recognition in the wild using deep transfer learning and score fusion

2018Facial Expression Recognition Using Hierarchical Features With Deep Comprehensive Multipatches Aggregation Convolutional Neural Networks

2019A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data

Details

Year2015

Typeother

VenueLecture notes in computer science

Languageen

Files0 public / 0

Identifiers

doi10.1007/978-3-319-16817-3_10

openalex_workW2198512331

Links

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