ResearchTrend.AI
  • Papers
  • Communities
  • Events
  • Blog
  • Pricing
Papers
Communities
Social Events
Terms and Conditions
Pricing
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2025 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 1409.4349
  4. Cited By
On the optimality of shape and data representation in the spectral
  domain

On the optimality of shape and data representation in the spectral domain

15 September 2014
Y. Aflalo
H. Brezis
Ron Kimmel
ArXiv (abs)PDFHTML

Papers citing "On the optimality of shape and data representation in the spectral domain"

18 / 18 papers shown
Title
Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted
  Bases
Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases
M. Panine
Maxime Kirgo
M. Ovsjanikov
52
17
0
10 May 2022
Multiway Non-rigid Point Cloud Registration via Learned Functional Map
  Synchronization
Multiway Non-rigid Point Cloud Registration via Learned Functional Map Synchronization
Jiahui Huang
Tolga Birdal
Zan Gojcic
Leonidas Guibas
Shihui Hu
3DPC
62
36
0
25 Nov 2021
Generating Band-Limited Adversarial Surfaces Using Neural Networks
Generating Band-Limited Adversarial Surfaces Using Neural Networks
Roee Shlomo
Yevgeniy Men
I. Imanuel
AAMLGAN
18
0
0
14 Nov 2021
Universal Spectral Adversarial Attacks for Deformable Shapes
Universal Spectral Adversarial Attacks for Deformable Shapes
Arianna Rampini
Franco Pestarini
Luca Cosmo
Simone Melzi
Emanuele Rodolà
AAML
118
18
0
07 Apr 2021
Spectral Discovery of Jointly Smooth Features for Multimodal Data
Spectral Discovery of Jointly Smooth Features for Multimodal Data
Felix Dietrich
Or Yair
Rotem Mulayoff
Ronen Talmon
Ioannis G. Kevrekidis
96
8
0
09 Apr 2020
Bilateral Operators for Functional Maps
Bilateral Operators for Functional Maps
Gautam Pai
Mor Joseph-Rivlin
Ron Kimmel
26
1
0
30 Jul 2019
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral
  volumes
Cryo-EM reconstruction of continuous heterogeneity by Laplacian spectral volumes
Amit Moscovich
Amit Halevi
Joakim Andén
A. Singer
67
54
0
01 Jul 2019
Laplacian Spectral Basis Functions
Laplacian Spectral Basis Functions
Giuseppe Patané
36
9
0
10 Jun 2019
Self-supervised Learning of Dense Shape Correspondence
Self-supervised Learning of Dense Shape Correspondence
Oshri Halimi
Or Litany
Emanuele Rodolà
A. Bronstein
Ron Kimmel
3DPC
56
23
0
06 Dec 2018
Isospectralization, or how to hear shape, style, and correspondence
Isospectralization, or how to hear shape, style, and correspondence
Luca Cosmo
M. Panine
Arianna Rampini
M. Ovsjanikov
M. Bronstein
Emanuele Rodolà
74
50
0
28 Nov 2018
The steerable graph Laplacian and its application to filtering image
  data-sets
The steerable graph Laplacian and its application to filtering image data-sets
Boris Landa
Y. Shkolnisky
70
19
0
06 Feb 2018
Localized Manifold Harmonics for Spectral Shape Analysis
Localized Manifold Harmonics for Spectral Shape Analysis
Simone Melzi
Emanuele Rodolà
U. Castellani
M. Bronstein
74
60
0
09 Jul 2017
Sparse Approximation of 3D Meshes using the Spectral Geometry of the
  Hamiltonian Operator
Sparse Approximation of 3D Meshes using the Spectral Geometry of the Hamiltonian Operator
Yoni Choukroun
Gautam Pai
Ron Kimmel
57
9
0
07 Jul 2017
Deep Functional Maps: Structured Prediction for Dense Shape
  Correspondence
Deep Functional Maps: Structured Prediction for Dense Shape Correspondence
Or Litany
Tal Remez
Emanuele Rodolà
A. Bronstein
M. Bronstein
3DPC
171
289
0
27 Apr 2017
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel
  Density Estimation in the Product Space
Product Manifold Filter: Non-Rigid Shape Correspondence via Kernel Density Estimation in the Product Space
Matthias Vestner
R. Litman
Emanuele Rodolà
A. Bronstein
Daniel Cremers
88
131
0
03 Jan 2017
Hamiltonian operator for spectral shape analysis
Hamiltonian operator for spectral shape analysis
Yoni Choukroun
A. Shtern
A. Bronstein
Ron Kimmel
62
37
0
07 Nov 2016
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with
  Convolution Framelets
A Tale of Two Bases: Local-Nonlocal Regularization on Image Patches with Convolution Framelets
Rujie Yin
Tingran Gao
Yue M. Lu
Ingrid Daubechies
85
53
0
04 Jun 2016
Robust Principal Component Analysis on Graphs
Robust Principal Component Analysis on Graphs
N. Shahid
Vassilis Kalofolias
Xavier Bresson
M. Bronstein
P. Vandergheynst
92
116
0
23 Apr 2015
1