Rui Wang

According to our database, Rui Wang authored at least 31 papers between 2018 and 2026.

Collaborative distances:

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

2026

GrFormer: A novel Transformer on Grassmann manifold for infrared and visible image fusion.

Huan Kang, Hui Li, Xiaojun Wu, Tianyang Xu, Rui Wang, Chunyang Cheng, Josef Kittler

Inf. Fusion, 2026

2025

Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry.

Rui Wang, Shaocheng Jin, Ziheng Chen, Xiaoqing Luo, Xiao-Jun Wu

CoRR, April, 2025

Structural Topology Refinement Network for Skeleton-Based Action Recognition.

Rui Wang, Jiayao Jin, Ziheng Chen, Cong Wu, Xiao-Jun Wu, Nicu Sebe

IEEE Trans. Instrum. Meas., 2025

Hierarchical feature transformation attack: Generate transferable adversarial examples for face recognition.

Yuanbo Li, Cong Hu, Rui Wang, Xiaojun Wu

Appl. Soft Comput., 2025

R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration.

Yang Hua, Tianyang Xu, Xiaoning Song, Zhenhua Feng, Rui Wang, Wenjie Zhang, Xiaojun Wu

Proceedings of the AAAI-25, Sponsored by the Association for the Advancement of Artificial Intelligence, February 25, 2025

2024

SPD Manifold Deep Metric Learning for Image Set Classification.

Rui Wang, Xiaojun Wu, Ziheng Chen, Cong Hu, Josef Kittler

IEEE Trans. Neural Networks Learn. Syst., July, 2024

Deep Metric Learning on the SPD Manifold for Image Set Classification.

Rui Wang, Xiaojun Wu, Tianyang Xu, Cong Hu, Josef Kittler

IEEE Trans. Circuits Syst. Video Technol., February, 2024

Manifold-based multi-graph embedding for semi-supervised classification.

Cong Hu, Jiang-Tao Song, Jia-Sheng Chen, Rui Wang, Xiao-Jun Wu

Pattern Recognit. Lett., 2024

SPDFusion: An Infrared and Visible Image Fusion Network Based on a Non-Euclidean Representation of Riemannian Manifolds.

Huan Kang, Hui Li, Tianyang Xu, Rui Wang, Xiaojun Wu, Josef Kittler

CoRR, 2024

RMLR: Extending Multinomial Logistic Regression into General Geometries.

Ziheng Chen, Yue Song, Rui Wang, Xiaojun Wu, Nicu Sebe

Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024

A Riemannian Residual Learning Mechanism for SPD Network.

Zhenyu Cai, Rui Wang, Tianyang Xu, Xiaojun Wu, Josef Kittler

Proceedings of the International Joint Conference on Neural Networks, 2024

A Grassmannian Manifold Self-Attention Network for Signal Classification.

Rui Wang, Chen Hu, Ziheng Chen, Xiao-Jun Wu, Xiaoning Song

Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, 2024

2023

U-SPDNet: An SPD manifold learning-based neural network for visual classification.

Rui Wang, Xiaojun Wu, Tianyang Xu, Cong Hu, Josef Kittler

Neural Networks, April, 2023

Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification.

Ziheng Chen, Tianyang Xu, Xiaojun Wu, Rui Wang, Josef Kittler

IEEE Trans. Big Data, February, 2023

Riemannian Self-Attention Mechanism for SPD Networks.

Rui Wang, Xiao-Jun Wu, Hui Li, Josef Kittler

CoRR, 2023

Riemannian Local Mechanism for SPD Neural Networks.

Ziheng Chen, Tianyang Xu, Xiao-Jun Wu, Rui Wang, Zhiwu Huang, Josef Kittler

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification.

Rui Wang, Xiaojun Wu, Josef Kittler

IEEE Trans. Neural Networks Learn. Syst., 2022

Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning.

Rui Wang, Xiaojun Wu, Kai-Xuan Chen, Josef Kittler

IEEE Trans. Big Data, 2022

Geometry-Aware Graph Embedding Projection Metric Learning for Image Set Classification.

Rui Wang, Xiaojun Wu, Zhen Liu, Josef Kittler

IEEE Trans. Cogn. Dev. Syst., 2022

Learning a discriminative SPD manifold neural network for image set classification.

Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

Neural Networks, 2022

DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification.

Rui Wang, Xiao-Jun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

CoRR, 2022

MSNet: A Deep Multi-scale Submanifold Network for Visual Classification.

Ziheng Chen, Xiao-Jun Wu, Tianyang Xu, Rui Wang, Zhiwu Huang, Josef Kittler

CoRR, 2022

Collaborative Representation for SPD Matrices with Application to Image-Set Classification.

Li Chu, Rui Wang, Xiao-Jun Wu

CoRR, 2022

DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning.

Rui Wang, Xiaojun Wu, Ziheng Chen, Tianyang Xu, Josef Kittler

Proceedings of the Computer Vision - ACCV 2022, 2022

2021

Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features.

Rui Wang, Xiao-Jun Wu, Josef Kittler

IEEE Trans. Multim., 2021

2020

GrasNet: A Simple Grassmannian Network for Image Set Classification.

Rui Wang, Xiao-Jun Wu

Neural Process. Lett., 2020

2019

Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning.

Rui Wang, Xiaojun Wu, Josef Kittler

CoRR, 2019

More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation.

Kai-Xuan Chen, Xiao-Jun Wu, Jie-Yi Ren, Rui Wang, Josef Kittler

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

2018

Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification.

Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler

CoRR, 2018

Multiple Manifolds Metric Learning with Application to Image Set Classification.

Rui Wang, Xiao-Jun Wu, Kai-Xuan Chen, Josef Kittler

Proceedings of the 24th International Conference on Pattern Recognition, 2018

Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification.

Kai-Xuan Chen, Xiao-Jun Wu, Rui Wang, Josef Kittler

Proceedings of the 24th International Conference on Pattern Recognition, 2018