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. 1812.01082
  4. Cited By
ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike
  Local Tangent Space Estimation

ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation

3 December 2018
Zhiyu Sun
Ethan Rooke
Jerome Charton
Yusen He
Jia Lu
Stephen Seung-Yeob Baek
ArXivPDFHTML

Papers citing "ZerNet: Convolutional Neural Networks on Arbitrary Surfaces via Zernike Local Tangent Space Estimation"

7 / 7 papers shown
Title
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering
MomentsNeRF: Leveraging Orthogonal Moments for Few-Shot Neural Rendering
Ahmad AlMughrabi
Ricardo Marques
P. Radeva
44
0
0
02 Jul 2024
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and
  Localization
Noise-to-Norm Reconstruction for Industrial Anomaly Detection and Localization
Shiqi Deng
Zhiyu Sun
Ruiyan Zhuang
Jun Gong
39
5
0
06 Jul 2023
Challenges and opportunities for machine learning in multiscale
  computational modeling
Challenges and opportunities for machine learning in multiscale computational modeling
Phong C. H. Nguyen
Joseph B. Choi
H. Udaykumar
Stephen Seung-Yeob Baek
AI4CE
22
8
0
22 Mar 2023
CNNs on Surfaces using Rotation-Equivariant Features
CNNs on Surfaces using Rotation-Equivariant Features
R. Wiersma
E. Eisemann
Klaus Hildebrandt
15
69
0
02 Jun 2020
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric
  graphs
Gauge Equivariant Mesh CNNs: Anisotropic convolutions on geometric graphs
P. D. Haan
Maurice Weiler
Taco S. Cohen
Max Welling
100
127
0
11 Mar 2020
Geometric deep learning on graphs and manifolds using mixture model CNNs
Geometric deep learning on graphs and manifolds using mixture model CNNs
Federico Monti
Davide Boscaini
Jonathan Masci
Emanuele Rodolà
Jan Svoboda
M. Bronstein
GNN
251
1,811
0
25 Nov 2016
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
247
3,236
0
24 Nov 2016
1