CTNet: Conversational transformer network for emotion recognition
Emotion recognition in conversation is a crucial topic for its widespread applications in the
field of human-computer interactions. Unlike vanilla emotion recognition of individual …
field of human-computer interactions. Unlike vanilla emotion recognition of individual …
AVEC 2019 workshop and challenge: state-of-mind, detecting depression with AI, and cross-cultural affect recognition
The Audio/Visual Emotion Challenge and Workshop (AVEC 2019)'State-of-Mind, Detecting
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Depression with AI, and Cross-cultural Affect Recognition'is the ninth competition event …
Missing modality imagination network for emotion recognition with uncertain missing modalities
Multimodal fusion has been proved to improve emotion recognition performance in previous
works. However, in real-world applications, we often encounter the problem of missing …
works. However, in real-world applications, we often encounter the problem of missing …
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 …
Multi-modal continuous dimensional emotion recognition using recurrent neural network and self-attention mechanism
Automatic perception and understanding of human emotion or sentiment has a wide range
of applications and has attracted increasing attention nowadays. The Multimodal Sentiment …
of applications and has attracted increasing attention nowadays. The Multimodal Sentiment …
An active learning paradigm for online audio-visual emotion recognition
I Kansizoglou, L Bampis… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The advancement of Human-Robot Interaction (HRI) drives research into the development of
advanced emotion identification architectures that fathom audio-visual (AV) modalities of …
advanced emotion identification architectures that fathom audio-visual (AV) modalities of …
Multi-resolution modulation-filtered cochleagram feature for LSTM-based dimensional emotion recognition from speech
Continuous dimensional emotion recognition from speech helps robots or virtual agents
capture the temporal dynamics of a speaker's emotional state in natural human–robot …
capture the temporal dynamics of a speaker's emotional state in natural human–robot …
Modeling emotion in complex stories: the Stanford Emotional Narratives Dataset
Human emotions unfold over time, and more affective computing research has to prioritize
capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli …
capturing this crucial component of real-world affect. Modeling dynamic emotional stimuli …
Facial affect recognition based on transformer encoder and audiovisual fusion for the abaw5 challenge
Z Zhang, L An, Z Cui, T Dong, Y Jiang, J Shi… - arXiv preprint arXiv …, 2023 - arxiv.org
In this paper, we present our solutions for the 5th Workshop and Competition on Affective
Behavior Analysis in-the-wild (ABAW), which includes four sub-challenges of Valence …
Behavior Analysis in-the-wild (ABAW), which includes four sub-challenges of Valence …
EmoBed: Strengthening monomodal emotion recognition via training with crossmodal emotion embeddings
Despite remarkable advances in emotion recognition, they are severely restrained from
either the essentially limited property of the employed single modality, or the synchronous …
either the essentially limited property of the employed single modality, or the synchronous …