95 citations · 216 across the 13 of their papers we have counts for
13 papers
FCUS-rPPG: A Fast-Converging Unsupervised Framework for Remote Photoplethysmography via Gradient Oscillation Suppression
Jiajie Li, Yu Liu, Rencheng Song +2
Remote photoplethysmography (rPPG) enables non-contact extraction of blood volume pulse (BVP) signals using consumer-grade cameras. Recent unsupervised rPPG methods learn BVP repre…
Degradation-Robust Fusion: An Efficient Degradation-Aware Diffusion Framework for Multimodal Image Fusion in Arbitrary Degradation Scenarios
Yu Shi, Yu Liu, Zhong-Cheng Wu +3
Complex degradations like noise, blur, and low resolution are typical challenges in real world image fusion tasks, limiting the performance and practicality of existing methods. En…
EmoFeedback: Reinforcement of Continuous Emotional Image Generation via LVLM-based Reward and Textual Feedback
Kai Shu, Jingyang Jia, Gang Yang +3
Continuous emotional image content generation (C-EICG) is emerging rapidly due to its ability to produce images aligned with both user descriptions and continuous emotional values.…
Dual Graph Attention based Disentanglement Multiple Instance Learning for Brain Age Estimation
Fanzhe Yan, Gang Yang, Yu Li +2
Deep learning techniques have demonstrated great potential for accurately estimating brain age by analyzing Magnetic Resonance Imaging (MRI) data from healthy individuals. However,…
Data Augmentation for Seizure Prediction with Generative Diffusion Model
Kai Shu, Le Wu, Yuchang Zhao +3
Data augmentation (DA) can significantly strengthen the electroencephalogram (EEG)-based seizure prediction methods. However, existing DA approaches are just the linear transformat…
PanFlowNet: A Flow-Based Deep Network for Pan-sharpening
Gang Yang, Xiangyong Cao, Wenzhe Xiao +4
Pan-sharpening aims to generate a high-resolution multispectral (HRMS) image by integrating the spectral information of a low-resolution multispectral (LRMS) image with the texture…