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Bending Graphs: Hierarchical Shape Matching using Gated Optimal
  Transport

Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport

3 February 2022
Mahdi Saleh
Shun-cheng Wu
Luca Cosmo
Nassir Navab
Benjamin Busam
F. Tombari
ArXivPDFHTML

Papers citing "Bending Graphs: Hierarchical Shape Matching using Gated Optimal Transport"

24 / 24 papers shown
Title
Tree-Sliced Wasserstein Distance with Nonlinear Projection
Tree-Sliced Wasserstein Distance with Nonlinear Projection
T. Tran
Viet-Hoang Tran
Thanh T. Chu
Trang Pham
Laurent El Ghaoui
Tam Le
T. Nguyen
19
0
0
02 May 2025
Multiview Point Cloud Registration via Optimization in an Autoencoder Latent Space
Multiview Point Cloud Registration via Optimization in an Autoencoder Latent Space
Luc Vedrenne
S. Faisan
Denis Fortun
3DPC
59
0
0
30 Apr 2025
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Unsupervised Cross-Domain Image Retrieval via Prototypical Optimal Transport
Bin Li
Ye-ling Shi
Qian Yu
Jingya Wang
OT
35
1
0
31 Dec 2024
A Recipe for Geometry-Aware 3D Mesh Transformers
A Recipe for Geometry-Aware 3D Mesh Transformers
Mohammad Farazi
Yalin Wang
44
0
0
31 Oct 2024
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints
  on Deformable Shapes
SelfGeo: Self-supervised and Geodesic-consistent Estimation of Keypoints on Deformable Shapes
Mohammad Zohaib
Luca Cosmo
Alessio Del Bue
3DPC
21
0
0
05 Aug 2024
Physics-Encoded Graph Neural Networks for Deformation Prediction under
  Contact
Physics-Encoded Graph Neural Networks for Deformation Prediction under Contact
Mahdi Saleh
Michael Sommersperger
Nassir Navab
F. Tombari
AI4CE
17
3
0
05 Feb 2024
Deformable 3D Gaussian Splatting for Animatable Human Avatars
Deformable 3D Gaussian Splatting for Animatable Human Avatars
Hyunjun Jung
Nikolas Brasch
Jifei Song
Eduardo Pérez-Pellitero
Yiren Zhou
Zhihao Li
Nassir Navab
Benjamin Busam
3DGS
52
29
0
22 Dec 2023
Optimal Transport for Measures with Noisy Tree Metric
Optimal Transport for Measures with Noisy Tree Metric
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
20
4
0
20 Oct 2023
Few-Shot Object Detection via Synthetic Features with Optimal Transport
Few-Shot Object Detection via Synthetic Features with Optimal Transport
Anh-Khoa Nguyen Vu
Thanh-Toan Do
Vinh-Tiep Nguyen
Tam Le
M. Tran
Tam V. Nguyen
18
1
0
29 Aug 2023
Shape-Graph Matching Network (SGM-net): Registration for Statistical
  Shape Analysis
Shape-Graph Matching Network (SGM-net): Registration for Statistical Shape Analysis
Shenyuan Liang
Maurício Pamplona Segundo
Sathyanarayanan N. Aakur
Sudeep Sarkar
A. Srivastava
3DPC
14
1
0
14 Aug 2023
S3M: Scalable Statistical Shape Modeling through Unsupervised
  Correspondences
S3M: Scalable Statistical Shape Modeling through Unsupervised Correspondences
Lennart Bastian
Alexander Bauman
Emily Hoppe
Vincent Burgin
Ha Young Kim
Mahdi Saleh
Benjamin Busam
Nassir Navab
14
8
0
15 Apr 2023
CheckerPose: Progressive Dense Keypoint Localization for Object Pose
  Estimation with Graph Neural Network
CheckerPose: Progressive Dense Keypoint Localization for Object Pose Estimation with Graph Neural Network
Ruyi Lian
Haibin Ling
3DH
3DPC
11
12
0
29 Mar 2023
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Self-Supervised Learning for Multimodal Non-Rigid 3D Shape Matching
Dongliang Cao
Florian Bernard
3DPC
12
17
0
20 Mar 2023
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud
  Registration
Deep Graph-based Spatial Consistency for Robust Non-rigid Point Cloud Registration
Zheng Qin
Hao Yu
Changjian Wang
Yuxing Peng
Kaiping Xu
3DPC
13
12
0
17 Mar 2023
Rotation-Invariant Transformer for Point Cloud Matching
Rotation-Invariant Transformer for Point Cloud Matching
Hao Yu
Zheng Qin
Jiafan Hou
Mahdi Saleh
Dongsheng Li
Benjamin Busam
Slobodan Ilic
ViT
3DPC
16
66
0
14 Mar 2023
Scalable Unbalanced Sobolev Transport for Measures on a Graph
Scalable Unbalanced Sobolev Transport for Measures on a Graph
Tam Le
Truyen V. Nguyen
Kenji Fukumizu
OT
12
9
0
24 Feb 2023
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud
  Registration
RIGA: Rotation-Invariant and Globally-Aware Descriptors for Point Cloud Registration
Hao Yu
Jiafan Hou
Zheng Qin
Mahdi Saleh
I. Shugurov
Kai Wang
Benjamin Busam
Slobodan Ilic
36
39
0
27 Sep 2022
CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point
  Cloud Learning
CloudAttention: Efficient Multi-Scale Attention Scheme For 3D Point Cloud Learning
Mahdi Saleh
Yige Wang
Nassir Navab
Benjamin Busam
F. Tombari
3DPC
12
3
0
31 Jul 2022
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
MeshMAE: Masked Autoencoders for 3D Mesh Data Analysis
Yaqian Liang
Shanshan Zhao
Baosheng Yu
Jing Zhang
Fazhi He
ViT
14
36
0
20 Jul 2022
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges
M. Bronstein
Joan Bruna
Taco S. Cohen
Petar Velivcković
GNN
163
1,095
0
27 Apr 2021
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
FLOT: Scene Flow on Point Clouds Guided by Optimal Transport
Gilles Puy
Alexandre Boulch
Renaud Marlet
3DPC
OT
110
161
0
22 Jul 2020
3D-CODED : 3D Correspondences by Deep Deformation
3D-CODED : 3D Correspondences by Deep Deformation
Thibault Groueix
Matthew Fisher
Vladimir G. Kim
Bryan C. Russell
Mathieu Aubry
3DPC
3DV
115
325
0
13 Jun 2018
PointNet: Deep Learning on Point Sets for 3D Classification and
  Segmentation
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
C. Qi
Hao Su
Kaichun Mo
Leonidas J. Guibas
3DH
3DPC
3DV
PINN
210
13,886
0
02 Dec 2016
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
234
1,801
0
25 Nov 2016
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