Ziheng Chen

According to our database, Ziheng Chen authored at least 20 papers between 2022 and 2025.

Collaborative distances:

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

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

Gyrogroup Batch Normalization.

Ziheng Chen, Yue Song, Xiaojun Wu, Nicu Sebe

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

Understanding Matrix Function Normalizations in Covariance Pooling through the Lens of Riemannian Geometry.

Ziheng Chen, Yue Song, Xiaojun Wu, Gaowen Liu, Nicu Sebe

Proceedings of the Thirteenth International Conference on Learning Representations, 2025

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

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

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Adaptive Log-Euclidean Metrics for SPD Matrix Learning.

Ziheng Chen, Yue Song, Tianyang Xu, Zhiwu Huang, Xiaojun Wu, Nicu Sebe

IEEE Trans. Image Process., 2024

Product Geometries on Cholesky Manifolds with Applications to SPD Manifolds.

Ziheng Chen, Yue Song, Xiao-Jun Wu, Nicu Sebe

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 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

A Lie Group Approach to Riemannian Batch Normalization.

Ziheng Chen, Yue Song, Yunmei Liu, Nicu Sebe

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Riemannian Multinomial Logistics Regression for SPD Neural Networks.

Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiao-Jun Wu, Nicu Sebe

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

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

Scalable Affine Multi-view Subspace Clustering.

Wanrong Yu, Xiao-Jun Wu, Tianyang Xu, Ziheng Chen, Josef Kittler

Neural Process. Lett., 2023

Riemannian Multiclass Logistics Regression for SPD Neural Networks.

Ziheng Chen, Yue Song, Gaowen Liu, Ramana Rao Kompella, Xiaojun Wu, Nicu Sebe

CoRR, 2023

Adaptive Riemannian Metrics on SPD Manifolds.

Ziheng Chen, Tianyang Xu, Zhiwu Huang, Yue Song, Xiao-Jun Wu, Nicu Sebe

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

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

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