Riemannian kernel based Nyström method for approximate infinite-dimensional covariance descriptors with application to image set classification. - Kai-Xuan Chen 001; Xiao-Jun Wu 001; Rui Wang 050; Josef Kittler (ICPR, 2018)

Multiple Manifolds Metric Learning with Application to Image Set Classification. - Rui Wang 050; Xiao-Jun Wu 001; Kai-Xuan Chen 001; Josef Kittler (ICPR, 2018)

Grassmannian Discriminant Maps (GDM) for Manifold Dimensionality Reduction with Application to Image Set Classification. - Rui Wang 050; Xiao-Jun Wu 001; Kai-Xuan Chen 001; Josef Kittler (CoRR, 2018)

More About Covariance Descriptors for Image Set Coding: Log-Euclidean Framework Based Kernel Matrix Representation. - Kai-Xuan Chen 001; Xiao-Jun Wu 001; Jie-Yi Ren; Rui Wang 050; Josef Kittler (ICCV Workshops, 2019)

Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning. - Rui Wang 050; Xiaojun Wu 001; Josef Kittler (CoRR, 2019)

GrasNet: A Simple Grassmannian Network for Image Set Classification. - Rui Wang 050; Xiao-Jun Wu 001 (Neural Process. Lett., 2020)

Graph Embedding Multi-Kernel Metric Learning for Image Set Classification With Grassmannian Manifold-Valued Features. - Rui Wang 050; Xiao-Jun Wu 001; Josef Kittler (IEEE Trans. Multim., 2021)

DreamNet: A Deep Riemannian Manifold Network for SPD Matrix Learning. - Rui Wang 050; Xiaojun Wu 001; Ziheng Chen; Tianyang Xu; Josef Kittler (ACCV (6), 2022)

Collaborative Representation for SPD Matrices with Application to Image-Set Classification. - Li Chu; Rui Wang 050; Xiao-Jun Wu 001 (CoRR, 2022)

MSNet: A Deep Multi-scale Submanifold Network for Visual Classification. - Ziheng Chen; Xiao-Jun Wu 001; Tianyang Xu; Rui Wang 050; Zhiwu Huang; Josef Kittler (CoRR, 2022)

DreamNet: A Deep Riemannian Network based on SPD Manifold Learning for Visual Classification. - Rui Wang 050; Xiao-Jun Wu 001; Ziheng Chen; Tianyang Xu; Josef Kittler (CoRR, 2022)

Learning a discriminative SPD manifold neural network for image set classification. - Rui Wang 050; Xiaojun Wu 001; Ziheng Chen; Tianyang Xu; Josef Kittler (Neural Networks, 2022)

Geometry-Aware Graph Embedding Projection Metric Learning for Image Set Classification. - Rui Wang 050; Xiaojun Wu 001; Zhen Liu 015; Josef Kittler (IEEE Trans. Cogn. Dev. Syst., 2022)

Multiple Riemannian Manifold-Valued Descriptors Based Image Set Classification With Multi-Kernel Metric Learning. - Rui Wang 050; Xiaojun Wu 001; Kai-Xuan Chen 001; Josef Kittler (IEEE Trans. Big Data, 2022)

SymNet: A Simple Symmetric Positive Definite Manifold Deep Learning Method for Image Set Classification. - Rui Wang 050; Xiaojun Wu 001; Josef Kittler (IEEE Trans. Neural Networks Learn. Syst., 2022)

Riemannian Local Mechanism for SPD Neural Networks. - Ziheng Chen; Tianyang Xu; Xiao-Jun Wu 001; Rui Wang 050; Zhiwu Huang; Josef Kittler (AAAI, 2023)

Riemannian Self-Attention Mechanism for SPD Networks. - Rui Wang 050; Xiao-Jun Wu 001; Hui Li 037; Josef Kittler (CoRR, 2023)

Hybrid Riemannian Graph-Embedding Metric Learning for Image Set Classification. - Ziheng Chen; Tianyang Xu; Xiaojun Wu 001; Rui Wang 050; Josef Kittler (IEEE Trans. Big Data, 2023)

U-SPDNet: An SPD manifold learning-based neural network for visual classification. - Rui Wang 050; Xiaojun Wu 001; Tianyang Xu; Cong Hu; Josef Kittler (Neural Networks, 2023)

A Grassmannian Manifold Self-Attention Network for Signal Classification. - Rui Wang 050; Chen Hu; Ziheng Chen; Xiao-Jun Wu 001; Xiaoning Song (IJCAI, 2024)

A Riemannian Residual Learning Mechanism for SPD Network. - Zhenyu Cai; Rui Wang 050; Tianyang Xu; Xiaojun Wu 001; Josef Kittler (IJCNN, 2024)

RMLR: Extending Multinomial Logistic Regression into General Geometries. - Ziheng Chen; Yue Song; Rui Wang 050; Xiaojun Wu 001; Nicu Sebe (NeurIPS, 2024)

SPDFusion: An Infrared and Visible Image Fusion Network Based on a Non-Euclidean Representation of Riemannian Manifolds. - Huan Kang; Hui Li 037; Tianyang Xu; Rui Wang 050; Xiaojun Wu 001; Josef Kittler (CoRR, 2024)

Manifold-based multi-graph embedding for semi-supervised classification. - Cong Hu; Jiang-Tao Song; Jia-Sheng Chen; Rui Wang 050; Xiao-Jun Wu 001 (Pattern Recognit. Lett., 2024)

Deep Metric Learning on the SPD Manifold for Image Set Classification. - Rui Wang 050; Xiaojun Wu 001; Tianyang Xu; Cong Hu; Josef Kittler (IEEE Trans. Circuits Syst. Video Technol., 2024)

SPD Manifold Deep Metric Learning for Image Set Classification. - Rui Wang 050; Xiaojun Wu 001; Ziheng Chen; Cong Hu; Josef Kittler (IEEE Trans. Neural Networks Learn. Syst., 2024)

R-DTI: Drug Target Interaction Prediction Based on Second-Order Relevance Exploration. - Yang Hua 002; Tianyang Xu; Xiaoning Song; Zhenhua Feng 001; Rui Wang 050; Wenjie Zhang; Xiaojun Wu 001 (AAAI, 2025)

Hierarchical feature transformation attack: Generate transferable adversarial examples for face recognition. - Yuanbo Li; Cong Hu; Rui Wang 050; Xiaojun Wu 001 (Appl. Soft Comput., 2025)

Structural Topology Refinement Network for Skeleton-Based Action Recognition. - Rui Wang 050; Jiayao Jin; Ziheng Chen; Cong Wu 006; Xiao-Jun Wu 001; Nicu Sebe (IEEE Trans. Instrum. Meas., 2025)

Learning to Normalize on the SPD Manifold under Bures-Wasserstein Geometry. - Rui Wang 050; Shaocheng Jin; Ziheng Chen; Xiaoqing Luo; Xiao-Jun Wu 001 (CoRR, 2025)

GrFormer: A novel Transformer on Grassmann manifold for infrared and visible image fusion. - Huan Kang; Hui Li 037; Xiaojun Wu 001; Tianyang Xu; Rui Wang 050; Chunyang Cheng; Josef Kittler (Inf. Fusion, 2026)