Transformer has emerged in speech emotion recognition (SER) at present.
...
In this paper, we propose a novel deep transfer learning method called d...
Spectrogram is commonly used as the input feature of deep neural network...
This paper focuses on the research of cross-database micro-expression
re...
Micro-expression recognition (MER) has attracted lots of
researchers' at...
Correctly perceiving micro-expression is difficult since micro-expressio...
Recently, facial expression recognition (FER) in the wild has gained a l...
Cross-database micro-expression recognition (CDMER) is one of recently
e...
Cross-database non-frontal expression recognition is a very meaningful b...
Visual relationship detection can bridge the gap between computer vision...
In this paper, we propose a novel tensor graph convolutional neural netw...
Variations of human body skeletons may be considered as dynamic graphs, ...
The motion analysis of human skeletons is crucial for human action
recog...
In this paper, we investigate the cross-database micro-expression recogn...
Symmetric positive definite (SPD) matrices (e.g., covariances, graph
Lap...
Emotion analysis is a crucial problem to endow artifact machines with re...