Facial expression recognition via learning deep sparse autoencodersNianyin Zeng, Baoye Song, Weibo Liu, Yurong Li, Abdullah M. Dobaie2017-09-07articleNeurocomputing489 citationsclosedNo readable copy stored yet — this record is metadata only.Emotion and Mood RecognitionFace recognition and analysisFace and Expression RecognitionAbstractNo abstract was published for this record.Citations in this libraryStored only when both papers are in the corpus — 489 citations exist upstream.References1971Constants across cultures in the face and emotion.2010The Extended Cohn-Kanade Dataset (CK+): A complete dataset for action unit and emotion-specified expression2008A Survey of Affect Recognition Methods: Audio, Visual, and Spontaneous Expressions2003Facial expression recognition from video sequences: temporal and static modelingCited by2018Emotion recognition using deep learning approach from audio–visual emotional big data2021Adaptively Learning Facial Expression Representation via C-F Labels and Distillation2019A Review on Automatic Facial Expression Recognition Systems Assisted by Multimodal Sensor Data2023A comprehensive survey on deep facial expression recognition: challenges, applications, and future guidelines2020Pyramid With Super Resolution for In-the-Wild Facial Expression Recognition2020Deep convolution network based emotion analysis towards mental health care2023Understanding Deep Learning Techniques for Recognition of Human Emotions Using Facial Expressions: A Comprehensive Survey2022Facial Emotion Recognition Using Conventional Machine Learning and Deep Learning Methods: Current Achievements, Analysis and Remaining Challenges