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AffectNet: A Database for Facial Expression, Valence, and Arousal Computing in the Wild
Ali Mollahosseini, Behzad Hasani, Mohammad H. Mahoor
Automated affective computing in the wild setting is a challenging problem in computer vision. Existing annotated databases of facial expressions in the wild are small and mostly c…
Facial Affect Estimation in the Wild Using Deep Residual and Convolutional Networks
Behzad Hasani, Mohammad H. Mahoor
Automated affective computing in the wild is a challenging task in the field of computer vision. This paper presents three neural network-based methods proposed for the task of fac…
Facial Expression Recognition Using Enhanced Deep 3D Convolutional Neural Networks
Behzad Hasani, Mohammad H. Mahoor
Deep Neural Networks (DNNs) have shown to outperform traditional methods in various visual recognition tasks including Facial Expression Recognition (FER). In spite of efforts made…
Spatio-Temporal Facial Expression Recognition Using Convolutional Neural Networks and Conditional Random Fields
Behzad Hasani, Mohammad H. Mahoor
Automated Facial Expression Recognition (FER) has been a challenging task for decades. Many of the existing works use hand-crafted features such as LBP, HOG, LPQ, and Histogram of…