… recognizing facial expression remains a challenging task. This paper describes a novel
approach towards facial expression recognition … Networks (CNN) on the face recognition problem…

… 3D-CNN and ConvLSTM for facial expression recognition in … 3D-CNN and ConvLSTM for
facial expression recognition in … consists of a face detector, a landmark detector for facial image …

… for use in the facial expressions recognition from a single image frame. The hybrid features
use a … To test the effectiveness and performance of the proposed hybrid CNN-SIFT features …

… a hybrid design for facial expression recognition combining … Convolutional Neural Network
(CNN) structures providing better … facial expression recognition where the emotion expressed …

… test for the learning of the CNN-based facial expression recognition. For the training of the
proposed CNN-based facial expression recognition from facial motion flow, we trained the …

… This study describes a hybrid method for recognising facial expressions that combines pre-…
different techniques for facial expression recognition and compare them. Because CNN’s …

… a new method of facial expression recognition in video sequences via a hybrid deep learning
… ) We propose a hybrid deep learning model, comprising a spatial CNN network, a temporal …

… Network (CNN) based techniques have achieved great success in computer vision tasks …
face authentication, facial expression recognition, object detection, object recognition etc. …

… accuracy than CNN models. Researchers, however, have not explored this hybrid model in
… Section III provides the design methodology and architecture of our proposed hybrid CNN-…

… a hybrid CNN with dense SIFT aggregator for expression … extract the hybrid feature for facial
expression recognition. The … of facial landmark points and extract more discriminative facial …