A Riemannian Network for SPD Matrix Learning

15 August 2016

Luc Van Gool

Papers citing "A Riemannian Network for SPD Matrix Learning"

45 / 45 papers shown

Title
A probabilistic view on Riemannian machine learning models for SPD matrices Thibault de Surrel Florian Yger Fabien Lotte Sylvain Chevallier 29 0 0 05 May 2025
SPD Learning for Covariance-Based Neuroimaging Analysis: Perspectives, Methods, and Challenges Ce Ju Reinmar J. Kobler Antoine Collas M. Kawanabe Cuntai Guan Bertrand Thirion 48 0 0 26 Apr 2025
Wrapped Gaussian on the manifold of Symmetric Positive Definite Matrices Thibault de Surrel Fabien Lotte Sylvain Chevallier Florian Yger 67 0 0 03 Feb 2025
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 Xiao Wu J. Kittler 39 0 0 16 Nov 2024
A Riemannian Framework for Learning Reduced-order Lagrangian Dynamics Katharina Friedl Noémie Jaquier Jens Lundell Tamim Asfour Danica Kragic AI4CE 31 0 0 24 Oct 2024
Schur's Positive-Definite Network: Deep Learning in the SPD cone with structure Can Pouliquen Mathurin Massias Titouan Vayer 38 0 0 13 Jun 2024
Manifold GCN: Diffusion-based Convolutional Neural Network for Manifold-valued Graphs M. Hanik Gabriele Steidl C. V. Tycowicz GNN MedIm 41 3 0 25 Jan 2024
SPDGAN: A Generative Adversarial Network based on SPD Manifold Learning for Automatic Image Colorization Youssef Mourchid M. Donias Y. Berthoumieu Mohamed Najim GAN 40 1 0 21 Dec 2023
Two-stream Multi-level Dynamic Point Transformer for Two-person Interaction Recognition Yao Liu Gangfeng Cui Jiahui Luo Xiaojun Chang L. Yao ViT 3DPC 16 5 0 22 Jul 2023
R-Mixup: Riemannian Mixup for Biological Networks Xuan Kan Zimu Li Hejie Cui Yue Yu Ran Xu Shaojun Yu Zilong Zhang Ying Guo Carl Yang 38 6 0 05 Jun 2023
Differential geometry with extreme eigenvalues in the positive semidefinite cone Cyrus Mostajeran Nathael Da Costa Graham W. Van Goffrier R. Sepulchre 27 4 0 14 Apr 2023
A Survey of Geometric Optimization for Deep Learning: From Euclidean Space to Riemannian Manifold Yanhong Fei Xian Wei Yingjie Liu Zhengyu Li Mingsong Chen 28 6 0 16 Feb 2023
SPD domain-specific batch normalization to crack interpretable unsupervised domain adaptation in EEG Reinmar J. Kobler J. Hirayama Qibin Zhao M. Kawanabe 19 53 0 02 Jun 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 30 3 0 30 May 2022
Fully-Connected Network on Noncompact Symmetric Space and Ridgelet Transform based on Helgason-Fourier Analysis Sho Sonoda Isao Ishikawa Masahiro Ikeda 21 15 0 03 Mar 2022
O-ViT: Orthogonal Vision Transformer Yanhong Fei Yingjie Liu Xian Wei Mingsong Chen ViT 13 8 0 28 Jan 2022
Deep Optimal Transport for Domain Adaptation on SPD Manifolds Ce Ju Cuntai Guan 48 3 0 15 Jan 2022
Deep Efficient Continuous Manifold Learning for Time Series Modeling Seungwoo Jeong Wonjun Ko A. Mulyadi Heung-Il Suk AI4TS 29 8 0 03 Dec 2021
GeomNet: A Neural Network Based on Riemannian Geometries of SPD Matrix Space and Cholesky Space for 3D Skeleton-Based Interaction Recognition X. Nguyen 3DH 21 33 0 25 Nov 2021
Grassmannian learning mutual subspace method for image set recognition L. S. Souza Naoya Sogi B. Gatto Takumi Kobayashi Kazuhiro Fukui 24 11 0 08 Nov 2021
Vector-valued Distance and Gyrocalculus on the Space of Symmetric Positive Definite Matrices F. López Beatrice Pozzetti Steve J. Trettel Michael Strube Anna Wienhard 39 17 0 26 Oct 2021
Spatio-Temporal Graph Complementary Scattering Networks Angelo Feraudo Siheng Chen Ya Zhang 20 2 0 23 Oct 2021
Transductive Few-Shot Classification on the Oblique Manifold Guodong Qi Huimin Yu Zhaohui Lu Shuzhao Li 19 45 0 09 Aug 2021
HAN: An Efficient Hierarchical Self-Attention Network for Skeleton-Based Gesture Recognition Jianbo Liu Ying Wang Shiming Xiang Chunhong Pan 38 12 0 25 Jun 2021
On Riemannian Optimization over Positive Definite Matrices with the Bures-Wasserstein Geometry Andi Han Bamdev Mishra Pratik Jawanpuria Junbin Gao 24 38 0 01 Jun 2021
Skeleton-based Hand-Gesture Recognition with Lightweight Graph Convolutional Networks H. Sahbi 3DH GNN 18 3 0 09 Apr 2021
Flow-based Generative Models for Learning Manifold to Manifold Mappings Xingjian Zhen Rudrasis Chakraborty Liu Yang Vikas Singh DRL MedIm 31 9 0 18 Dec 2020
Divide-and-Conquer Adversarial Learning for High-Resolution Image and Video Enhancement Zhiwu Huang D. Paudel Guanju Li Jiqing Wu Radu Timofte Luc Van Gool 30 4 0 23 Oct 2019
Multiple Riemannian Manifold-valued Descriptors based Image Set Classification with Multi-Kernel Metric Learning Rui Wang Xiaojun Wu J. Kittler 19 30 0 06 Aug 2019
Dependency-aware Attention Control for Unconstrained Face Recognition with Image Sets Xiaofeng Liu B. Kumar Chao Yang Qingming Tang J. You CVBM 23 42 0 05 Jul 2019
Sliced Wasserstein Generative Models Jiqing Wu Zhiwu Huang Dinesh Acharya Wen Li Janine Thoma D. Paudel Luc Van Gool DiffM 30 125 0 10 Apr 2019
Part-based Graph Convolutional Network for Action Recognition Kalpit C. Thakkar P. J. Narayanan 3DH GNN 39 165 0 13 Sep 2018
A Simple Riemannian Manifold Network for Image Set Classification Rui Wang Xiaojun Wu J. Kittler 13 3 0 27 May 2018
Covariance Pooling For Facial Expression Recognition Dinesh Acharya Zhiwu Huang D. Paudel Luc Van Gool CVBM 27 149 0 13 May 2018
Eigendecomposition-free Training of Deep Networks with Zero Eigenvalue-based Losses Zheng Dang K. M. Yi Yinlin Hu Fei Wang Pascal Fua Mathieu Salzmann 29 48 0 21 Mar 2018
Spatio-Temporal Graph Convolution for Skeleton Based Action Recognition Chaolong Li Zhen Cui Wenming Zheng Chunyan Xu Jian Yang 30 172 0 27 Feb 2018
Manifold-valued Image Generation with Wasserstein Generative Adversarial Nets Zhiwu Huang Jiqing Wu Luc Van Gool GAN 50 4 0 05 Dec 2017
Learning a Robust Representation via a Deep Network on Symmetric Positive Definite Manifolds Zhi Gao Yuwei Wu Xingyuan Bu Yunde Jia 36 32 0 17 Nov 2017
Action-Attending Graphic Neural Network Chaolong Li Zhen Cui Wenming Zheng Chunyan Xu Rongrong Ji Jian Yang 33 50 0 17 Nov 2017
Learning Discriminative Alpha-Beta-divergence for Positive Definite Matrices (Extended Version) A. Cherian P. Stanitsas Mehrtash Harandi V. Morellas Nikolaos Papanikolopoulos 23 2 0 05 Aug 2017
Second-order Temporal Pooling for Action Recognition A. Cherian Stephen Gould EgoV 11 29 0 23 Apr 2017
Second-order Convolutional Neural Networks Kaicheng Yu Mathieu Salzmann 24 51 0 20 Mar 2017
Deep Learning on Lie Groups for Skeleton-based Action Recognition Zhiwu Huang Chengde Wan Thomas Probst Luc Van Gool 3DH 30 277 0 18 Dec 2016
Generalized BackPropagation, Étude De Cas: Orthogonality Mehrtash Harandi Basura Fernando 10 62 0 17 Nov 2016
Building Deep Networks on Grassmann Manifolds Zhiwu Huang Jiqing Wu Luc Van Gool 21 160 0 17 Nov 2016