604 citations · 624 across the 8 of their papers we have counts for
8 papers
Rethinking Multimodal Sentiment Analysis: A High-Accuracy, Simplified Fusion Architecture
Nischal Mandal, Yang Li
Multimodal sentiment analysis, a pivotal task in affective computing, seeks to understand human emotions by integrating cues from language, audio, and visual signals. While many re…
SDFE-LV: A Large-Scale, Multi-Source, and Unconstrained Database for Spotting Dynamic Facial Expressions in Long Videos
Xiaolin Xu, Yuan Zong, Wenming Zheng +4
In this paper, we present a large-scale, multi-source, and unconstrained database called SDFE-LV for spotting the onset and offset frames of a complete dynamic facial expression fr…
GMSS: Graph-Based Multi-Task Self-Supervised Learning for EEG Emotion Recognition
Yang Li, Ji Chen, Fu Li +7
Previous electroencephalogram (EEG) emotion recognition relies on single-task learning, which may lead to overfitting and learned emotion features lacking generalization. In this p…
Progressive Graph Convolution Network for EEG Emotion Recognition
Yijin Zhou, Fu Li, Yang Li +6
Studies in the area of neuroscience have revealed the relationship between emotional patterns and brain functional regions, demonstrating that dynamic relationships between differe…
A Novel Transferability Attention Neural Network Model for EEG Emotion Recognition
Yang Li, Boxun Fu, Fu Li +2
The existed methods for electroencephalograph (EEG) emotion recognition always train the models based on all the EEG samples indistinguishably. However, some of the source (trainin…
Tensor graph convolutional neural network
Tong Zhang, Wenming Zheng, Zhen Cui +1
In this paper, we propose a novel tensor graph convolutional neural network (TGCNN) to conduct convolution on factorizable graphs, for which here two types of problems are focused,…
Spatial-Temporal Recurrent Neural Network for Emotion Recognition
Tong Zhang, Wenming Zheng, Zhen Cui +2
Emotion analysis is a crucial problem to endow artifact machines with real intelligence in many large potential applications. As external appearances of human emotions, electroence…
Recurrent Regression for Face Recognition
Yang Li, Wenming Zheng, Zhen Cui
To address the sequential changes of images including poses, in this paper we propose a recurrent regression neural network(RRNN) framework to unify two classic tasks of cross-pose…