Hu Cui

According to our database, Hu Cui authored at least 10 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

MF-DETR: A Feature Fusion Network for SAR Ship Detection Based on Electromagnetic Scattering Features and Deep Features.

Wenqiang Hua, Ruizhe Wang, Chen Ding, Yizhuo Dong, Zhe Meng, Hu Cui

IEEE Trans. Aerosp. Electron. Syst., 2026

SasMamba: A Lightweight Structure-Aware Stride State Space Model for 3D Human Pose Estimation.

Hu Cui, Wenqiang Hua, Renjing Huang, Shurui Jia, Tessai Hayama

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2026

2025

Dstsa-gcn: Advancing skeleton-based gesture recognition with semantic-aware spatio-temporal topology modeling.

Hu Cui, Renjing Huang, Ruoyu Zhang, Tessai Hayama

Neurocomputing, 2025

Cross-Dataset Representation Learning for Unsupervised Deep Clustering in Human Activity Recognition.

Tomoya Takatsu, Tessai Hayama, Hu Cui

IEEE Access, 2025

HGMamba: Enhancing 3D Human Pose Estimation with a HyperGCN-Mamba Network.

Hu Cui, Tessai Hayama

Proceedings of the International Joint Conference on Neural Networks, 2025

2024

STSD: spatial-temporal semantic decomposition transformer for skeleton-based action recognition.

Hu Cui, Tessai Hayama

Multim. Syst., February, 2024

Joint-Partition Group Attention for skeleton-based action recognition.

Hu Cui, Tessai Hayama

Signal Process., 2024

2023

Automated Classification of Exercise Exertion Levels Based on Real-Time Wearable Physiological Signal Monitoring.

Aref Smiley, Ihor Havrylchuk, Te-Yi Tsai, Elena Zakashansky, Aileen S. Gabriel, Taulant Xhakli, Wanting Cui, Irena Parvanova, Hu Cui, Joseph Finkelstein

Proceedings of the Caring is Sharing - Exploiting the Value in Data for Health and Innovation - Proceedings of MIE 2023, Gothenburg, Sweden, 22, 2023

Exercise Exertion Levels Prediction Based on Real-Time Wearable Physiological Signal Monitoring.

Aref Smiley, Te-Yi Tsai, Elena Zakashansky, Aileen S. Gabriel, Taulant Xhakli, Wanting Cui, Xingyue Huo, Ihor Havrylchuk, Hu Cui, Joseph Finkelstein

Proceedings of the Healthcare Transformation with Informatics and Artificial Intelligence, 2023

2022

LGST-Drop: label-guided structural dropout for spatial-temporal convolutional neural networks.

Hu Cui, Renjing Huang, Ruoyu Zhang, Chuhua Huang

J. Electronic Imaging, 2022