AVEC 2018 workshop and challenge: Bipolar disorder and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2018)" Bipolar disorder, and
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
cross-cultural affect recognition''is the eighth competition event aimed at the comparison of …
AFEW-VA database for valence and arousal estimation in-the-wild
Continuous dimensional models of human affect, such as those based on valence and
arousal, have been shown to be more accurate in describing a broad range of spontaneous …
arousal, have been shown to be more accurate in describing a broad range of spontaneous …
An image-based deep spectrum feature representation for the recognition of emotional speech
The outputs of the higher layers of deep pre-trained convolutional neural networks (CNNs)
have consistently been shown to provide a rich representation of an image for use in …
have consistently been shown to provide a rich representation of an image for use in …
Multimodal multi-task learning for dimensional and continuous emotion recognition
Automatic emotion recognition is a challenging task which can make great impact on
improving natural human computer interactions. In this paper, we present our effort for the …
improving natural human computer interactions. In this paper, we present our effort for the …
Transformer encoder with multi-modal multi-head attention for continuous affect recognition
Continuous affect recognition is becoming an increasingly attractive research topic in
affective computing. Previous works mainly focused on modelling the temporal dependency …
affective computing. Previous works mainly focused on modelling the temporal dependency …
Audio–visual fusion for emotion recognition in the valence–arousal space using joint cross-attention
Automatic emotion recognition (ER) has recently gained much interest due to its potential in
many real-world applications. In this context, multimodal approaches have been shown to …
many real-world applications. In this context, multimodal approaches have been shown to …
Cross attentional audio-visual fusion for dimensional emotion recognition
Multimodal analysis has recently drawn much interest in affective computing, since it can
improve the overall accuracy of emotion recognition over isolated uni-modal approaches …
improve the overall accuracy of emotion recognition over isolated uni-modal approaches …
Multi-modal audio, video and physiological sensor learning for continuous emotion prediction
The automatic determination of emotional state from multimedia content is an inherently
challenging problem with a broad range of applications including biomedical diagnostics …
challenging problem with a broad range of applications including biomedical diagnostics …
Semi-supervised multi-modal emotion recognition with cross-modal distribution matching
Automatic emotion recognition is an active research topic with wide range of applications.
Due to the high manual annotation cost and inevitable label ambiguity, the development of …
Due to the high manual annotation cost and inevitable label ambiguity, the development of …
Multimodal fusion with deep neural networks for audio-video emotion recognition
This paper presents a novel deep neural network (DNN) for multimodal fusion of audio,
video and text modalities for emotion recognition. The proposed DNN architecture has …
video and text modalities for emotion recognition. The proposed DNN architecture has …