7 citations · 39 across the 35 of their papers we have counts for
6 papers · 1 filter
Deep Imbalanced Learning for Multimodal Emotion Recognition in Conversations
Tao Meng, Yuntao Shou, Wei Ai +2
The main task of Multimodal Emotion Recognition in Conversations (MERC) is to identify the emotions in modalities, e.g., text, audio, image and video, which is a significant develo…
Adversarial Representation with Intra-Modal and Inter-Modal Graph Contrastive Learning for Multimodal Emotion Recognition
Yuntao Shou, Tao Meng, Wei Ai +2
With the release of increasing open-source emotion recognition datasets on social media platforms and the rapid development of computing resources, multimodal emotion recognition t…
DER-GCN: Dialogue and Event Relation-Aware Graph Convolutional Neural Network for Multimodal Dialogue Emotion Recognition
Wei Ai, Yuntao Shou, Tao Meng +2
With the continuous development of deep learning (DL), the task of multimodal dialogue emotion recognition (MDER) has recently received extensive research attention, which is also…
A Comprehensive Survey on Multi-modal Conversational Emotion Recognition with Deep Learning
Yuntao Shou, Tao Meng, Wei Ai +3
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 scene.…
Graph Information Bottleneck for Remote Sensing Segmentation
Yuntao Shou, Wei Ai, Tao Meng +1
Remote sensing segmentation has a wide range of applications in environmental protection, and urban change detection, etc. Despite the success of deep learning-based remote sensing…
CILF-CIAE: CLIP-driven Image-Language Fusion for Correcting Inverse Age Estimation
Yuntao Shou, Wei Ai, Tao Meng +2
The age estimation task aims to predict the age of an individual by analyzing facial features in an image. The development of age estimation can improve the efficiency and accuracy…