Building Deep Networks on Grassmann Manifolds

Building Deep Networks on Grassmann Manifolds

17 November 2016

Luc Van Gool

Papers citing "Building Deep Networks on Grassmann Manifolds"

19 / 19 papers shown

Title
Geometric sparsification in recurrent neural networks Wyatt Mackey Ioannis Schizas Jared Deighton David L. Boothe, Jr. Vasileios Maroulas 33 0 0 10 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
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
Grassmann Manifold Flows for Stable Shape Generation Ryoma Yataka Kazuki Hirashima Masashi Shiraishi 27 1 0 05 Nov 2022
Embedding Graphs on Grassmann Manifold Bingxin Zhou Xuebin Zheng Yu Guang Wang Ming Li Junbin Gao 30 3 0 30 May 2022
Heterogeneous manifolds for curvature-aware graph embedding Francesco Di Giovanni Giulia Luise M. Bronstein 72 23 0 02 Feb 2022
O-ViT: Orthogonal Vision Transformer Yanhong Fei Yingjie Liu Xian Wei Mingsong Chen ViT 13 8 0 28 Jan 2022
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
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
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
Graph-Preserving Grid Layout: A Simple Graph Drawing Method for Graph Classification using CNNs Yecheng Lyu Xinming Huang Ziming Zhang 29 0 0 26 Sep 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
McTorch, a manifold optimization library for deep learning Mayank Meghwanshi Pratik Jawanpuria Anoop Kunchukuttan Hiroyuki Kasai Bamdev Mishra AI4CE 28 41 0 03 Oct 2018
A Simple Riemannian Manifold Network for Image Set Classification Rui Wang Xiaojun Wu J. Kittler 13 3 0 27 May 2018
Dimensionality Reduction on Grassmannian via Riemannian Optimization: A Generalized Perspective Tianci Liu Zelin Shi Yunpeng Liu 17 0 0 17 Nov 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