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

MSNet: A Deep Multi-scale Submanifold Network for Visual Classification. - Ziheng Chen 001; 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 001; 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 001; Tianyang Xu; Josef Kittler (Neural Networks, 2022)

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

Adaptive Riemannian Metrics on SPD Manifolds. - Ziheng Chen 001; Tianyang Xu; Zhiwu Huang; Yue Song; Xiao-Jun Wu 001; Nicu Sebe (CoRR, 2023)

Riemannian Multiclass Logistics Regression for SPD Neural Networks. - Ziheng Chen 001; Yue Song; Gaowen Liu; Ramana Rao Kompella; Xiaojun Wu 001; Nicu Sebe (CoRR, 2023)

Scalable Affine Multi-view Subspace Clustering. - Wanrong Yu; Xiao-Jun Wu 001; Tianyang Xu; Ziheng Chen 001; Josef Kittler (Neural Process. Lett., 2023)

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

Riemannian Multinomial Logistics Regression for SPD Neural Networks. - Ziheng Chen 001; Yue Song; Gaowen Liu; Ramana Rao Kompella; Xiao-Jun Wu 001; Nicu Sebe (CVPR, 2024)

A Lie Group Approach to Riemannian Batch Normalization. - Ziheng Chen 001; Yue Song; Yunmei Liu; Nicu Sebe (ICLR, 2024)

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

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

Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds. - Ziheng Chen 001; Yue Song; Xiao-Jun Wu 001; Nicu Sebe (CoRR, 2024)

Adaptive Log-Euclidean Metrics for SPD Matrix Learning. - Ziheng Chen 001; Yue Song; Tianyang Xu; Zhiwu Huang; Xiaojun Wu 001; Nicu Sebe (IEEE Trans. Image Process., 2024)

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

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

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry. - Ziheng Chen 001; Yue Song; Xiaojun Wu 001; Gaowen Liu; Nicu Sebe (ICLR, 2025)

Gyrogroup Batch Normalization. - Ziheng Chen 001; Yue Song; Xiaojun Wu 001; Nicu Sebe (ICLR, 2025)

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