17 citations · 32 across the 6 of their papers we have counts for
6 papers
A Lightweight Domain Adversarial Neural Network Based on Knowledge Distillation for EEG-based Cross-subject Emotion Recognition
Zhe Wang, Yongxiong Wang, Jiapeng Zhang +2
Individual differences of Electroencephalogram (EEG) could cause the domain shift which would significantly degrade the performance of cross-subject strategy. The domain adversaria…
STILN: A Novel Spatial-Temporal Information Learning Network for EEG-based Emotion Recognition
Yiheng Tang, Yongxiong Wang, Xiaoli Zhang +1
The spatial correlations and the temporal contexts are indispensable in Electroencephalogram (EEG)-based emotion recognition. However, the learning of complex spatial correlations…
Temporal-spatial Representation Learning Transformer for EEG-based Emotion Recognition
Zhe Wang, Yongxiong Wang, Chuanfei Hu +2
Both the temporal dynamics and spatial correlations of Electroencephalogram (EEG), which contain discriminative emotion information, are essential for the emotion recognition. Howe…
Towards Trustworthy Multi-label Sewer Defect Classification via Evidential Deep Learning
Chenyang Zhao, Chuanfei Hu, Hang Shao +2
An automatic vision-based sewer inspection plays a key role of sewage system in a modern city. Recent advances focus on utilizing deep learning model to realize the sewer inspectio…
ASD: Towards Attribute Spatial Decomposition for Prior-Free Facial Attribute Recognition
Chuanfei Hu, Hang Shao, Bo Dong +2
Representing the spatial properties of facial attributes is a vital challenge for facial attribute recognition (FAR). Recent advances have achieved the reliable performances for FA…
Towards Accurate Camouflaged Object Detection with Mixture Convolution and Interactive Fusion
Geng Chen, Xinrui Chen, Bo Dong +6
Camouflaged object detection (COD), which aims to identify the objects that conceal themselves into the surroundings, has recently drawn increasing research efforts in the field of…