IEEE

Multi-Scale Hyperbolic Contrastive Learning for Cross-Subject EEG Emotion Recognition

Abstract: Electroencephalography (EEG) serves as a reliable and objective signal for affective computing applications. However, individual differences in EEG signals pose a significant challenge for ...
GitHub

Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution

This repository contains PyTorch implementation for Content-decoupled Contrastive Learning-based Implicit Degradation Modeling for Blind Image Super-Resolution (Accepted by IEEE TIP 2025).
GitHub

LcQi-mic/mod_imp

This is the Pytorch implement of our paper "A Unified Missing Modality Imputation Model with Inter-Modality Contrastive and Consistent Learning". It includes all materials necessary to reproduce our ...
IEEE

Multigranularity Information Fused Contrastive Learning With Multiview Clustering

Abstract: Contrastive multiview clustering (MVC) has emerged as a mainstream approach in MVC due to its superior representation learning capabilities. Traditional contrastive multiview learning ...