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Learning Invariant Riemannian Geometric Representations Using Deep Nets

Learning Invariant Riemannian Geometric Representations Using Deep Nets

30 August 2017
Suhas Lohit
P. Turaga
ArXivPDFHTML

Papers citing "Learning Invariant Riemannian Geometric Representations Using Deep Nets"

4 / 4 papers shown
Title
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
GeloVec: Higher Dimensional Geometric Smoothing for Coherent Visual Feature Extraction in Image Segmentation
Boris Kriuk
Matey Yordanov
35
0
0
02 May 2025
Deep Extrinsic Manifold Representation for Vision Tasks
Deep Extrinsic Manifold Representation for Vision Tasks
Tongtong Zhang
Xian Wei
Yuanxiang Li
56
0
0
31 Mar 2024
Temporal Transformer Networks: Joint Learning of Invariant and
  Discriminative Time Warping
Temporal Transformer Networks: Joint Learning of Invariant and Discriminative Time Warping
Suhas Lohit
Qiao Wang
P. Turaga
ViT
11
56
0
13 Jun 2019
Geometric deep learning: going beyond Euclidean data
Geometric deep learning: going beyond Euclidean data
M. Bronstein
Joan Bruna
Yann LeCun
Arthur Szlam
P. Vandergheynst
GNN
259
3,239
0
24 Nov 2016
1