5 citations · 6 across the 8 of their papers we have counts for
8 papers
Tree-VQ: Progressive Image Compression from Pretrained Vector Quantizers
Xinkun Wang, Tianyi Xu, Qingyu Luo +4
Progressive image compression requires a single embedded representation whose received prefixes can be decoded without re-encoding the source. Modern vector-quantized (VQ) image mo…
Spatio-Temporal Progressive Attention Model for EEG Classification in Rapid Serial Visual Presentation Task
Yang Li, Wei Liu, Tianzhi Feng +6
As a type of multi-dimensional sequential data, the spatial and temporal dependencies of electroencephalogram (EEG) signals should be further investigated. Thus, in this paper, we…
Adaptive Progressive Attention Graph Neural Network for EEG Emotion Recognition
Tianzhi Feng, Chennan Wu, Yi Niu +5
In recent years, numerous neuroscientific studies demonstrate that specific areas of the brain are connected to human emotional responses, with these regions exhibiting variability…
Retinex-guided Channel-grouping based Patch Swap for Arbitrary Style Transfer
Chang Liu, Yi Niu, Mingming Ma +2
The basic principle of the patch-matching based style transfer is to substitute the patches of the content image feature maps by the closest patches from the style image feature ma…
EEG-based Emotion Style Transfer Network for Cross-dataset Emotion Recognition
Yijin Zhou, Fu Li, Yang Li +5
As the key to realizing aBCIs, EEG emotion recognition has been widely studied by many researchers. Previous methods have performed well for intra-subject EEG emotion recognition.…
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…