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 …
Position bias mitigation: A knowledge-aware graph model for emotion cause extraction
The Emotion Cause Extraction (ECE)} task aims to identify clauses which contain emotion-
evoking information for a particular emotion expressed in text. We observe that a widely …
evoking information for a particular emotion expressed in text. We observe that a widely …
Building a large scale dataset for image emotion recognition: The fine print and the benchmark
Psychological research results have confirmed that people can have different emotional
reactions to different visual stimuli. Several papers have been published on the problem of …
reactions to different visual stimuli. Several papers have been published on the problem of …
Context-and sentiment-aware networks for emotion recognition in conversation
Emotion recognition in conversation (ERC) has promising potential in many fields, such as
recommendation systems, man–machine interaction, and medical care. In contrast to other …
recommendation systems, man–machine interaction, and medical care. In contrast to other …
Speaker-invariant adversarial domain adaptation for emotion recognition
Automatic emotion recognition methods are sensitive to the variations across different
datasets and their performance drops when evaluated across corpora. We can apply …
datasets and their performance drops when evaluated across corpora. We can apply …
Joint multi-level attentional model for emotion detection and emotion-cause pair extraction
Emotion detection (ED) and emotion-cause pair extraction (ECPE) have drawn extensive
research interests due to their wide applications in real-world scenarios. However, existing …
research interests due to their wide applications in real-world scenarios. However, existing …
From independent prediction to reordered prediction: Integrating relative position and global label information to emotion cause identification
Emotion cause identification aims at identifying the potential causes that lead to a certain
emotion expression in text. Several techniques including rule based methods and traditional …
emotion expression in text. Several techniques including rule based methods and traditional …
Two-stream aural-visual affect analysis in the wild
Human affect recognition is an essential part of natural human-computer interaction.
However, current methods are still in their infancy, especially for in-the-wild data. In this …
However, current methods are still in their infancy, especially for in-the-wild data. In this …
Two birds with one stone: Knowledge-embedded temporal convolutional transformer for depression detection and emotion recognition
W Zheng, L Yan, FY Wang - IEEE Transactions on Affective …, 2023 - ieeexplore.ieee.org
Depression is a critical problem in modern society that affects an estimated 350 million
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
people worldwide, causing feelings of sadness and a lack of interest and pleasure …
Multimodal emotion recognition with high-level speech and text features
Automatic emotion recognition is one of the central concerns of the Human-Computer
Interaction field as it can bridge the gap between humans and machines. Current works train …
Interaction field as it can bridge the gap between humans and machines. Current works train …