5 citations · 6 across the 8 of their papers we have counts for
8 papers
Tree-Structured Vector Quantization For Efficient And Progressive Image Compression
Xinkun Wang, Tianyi Xu, Qingyu Luo +4
Vector-quantization based image compression has achieved strong rate--distortion performance, yet most of them still produce a separate compressed representation for each target bi…
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…