Multi-modal multi-cultural dimensional continues emotion recognition in dyadic interactions
Automatic emotion recognition is a challenging task which can make great impact on
improving natural human computer interactions. In this paper, we present our solutions for …
improving natural human computer interactions. In this paper, we present our solutions for …
Adversarial domain adaption for multi-cultural dimensional emotion recognition in dyadic interactions
Cross-cultural emotion recognition has been a challenging research problem in the affective
computing field. In this paper, we present our solutions for the Cross-cultural Emotion Sub …
computing field. In this paper, we present our solutions for the Cross-cultural Emotion Sub …
Multi-clue fusion for emotion recognition in the wild
In the past three years, Emotion Recognition in the Wild (EmotiW) Grand Challenge has
drawn more and more attention due to its huge potential applications. In the fourth …
drawn more and more attention due to its huge potential applications. In the fourth …
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 …
A comprehensive survey on multi-modal conversational emotion recognition with deep learning
Multi-modal conversation emotion recognition (MCER) aims to recognize and track the
speaker's emotional state using text, speech, and visual information in the conversation …
speaker's emotional state using text, speech, and visual information in the conversation …
M2fnet: Multi-modal fusion network for emotion recognition in conversation
V Chudasama, P Kar, A Gudmalwar… - Proceedings of the …, 2022 - openaccess.thecvf.com
Abstract Emotion Recognition in Conversations (ERC) is crucial in developing sympathetic
human-machine interaction. In conversational videos, emotion can be present in multiple …
human-machine interaction. In conversational videos, emotion can be present in multiple …
Multimodal continuous emotion recognition with data augmentation using recurrent neural networks
This paper presents our effects for Cross-cultural Emotion Sub-challenge in the Audio/Visual
Emotion Challenge (AVEC) 2018, whose goal is to predict the level of three emotional …
Emotion Challenge (AVEC) 2018, whose goal is to predict the level of three emotional …
Feature-level and model-level audiovisual fusion for emotion recognition in the wild
Emotion recognition plays an important role in human-computer interaction (HCI) and has
been extensively studied for decades. Although tremendous improvements have been …
been extensively studied for decades. Although tremendous improvements have been …
Multimodal emotion recognition using transfer learning from speaker recognition and bert-based models
Automatic emotion recognition plays a key role in computer-human interaction as it has the
potential to enrich the next-generation artificial intelligence with emotional intelligence. It …
potential to enrich the next-generation artificial intelligence with emotional intelligence. It …
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 …