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Linear optimal transport subspaces for point set classification

Linear optimal transport subspaces for point set classification

15 March 2024
M. Shifat-E.-Rabbi
Naqib Sad Pathan
Shiying Li
Zhuang Yan
A. Rubaiyat
Gustavo K. Rohde
ArXivPDFHTML

Papers citing "Linear optimal transport subspaces for point set classification"

14 / 14 papers shown
Title
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face
  Recognition
Local Sliced-Wasserstein Feature Sets for Illumination-invariant Face Recognition
Zhuang Yan
Shiying Li
M. Shifat-E.-Rabbi
Xuwang Yin
A. Rubaiyat
Gustavo K. Rohde
CVBM
46
8
0
22 Feb 2022
Invariance encoding in sliced-Wasserstein space for image classification
  with limited training data
Invariance encoding in sliced-Wasserstein space for image classification with limited training data
M. Shifat-E.-Rabbi
Yan Zhuang
Shiying Li
A. Rubaiyat
Xuwang Yin
Gustavo K. Rohde
70
9
0
09 Jan 2022
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
SLOSH: Set LOcality Sensitive Hashing via Sliced-Wasserstein Embeddings
Yuzhe Lu
Xinran Liu
Andrea Soltoggio
Soheil Kolouri
50
8
0
11 Dec 2021
Linear Optimal Transport Embedding: Provable Wasserstein classification
  for certain rigid transformations and perturbations
Linear Optimal Transport Embedding: Provable Wasserstein classification for certain rigid transformations and perturbations
Caroline Moosmüller
A. Cloninger
OT
119
44
0
20 Aug 2020
Partitioning signal classes using transport transforms for data analysis
  and machine learning
Partitioning signal classes using transport transforms for data analysis and machine learning
Akram Aldroubi
Shiying Li
Gustavo K. Rohde
20
19
0
08 Aug 2020
Deep CNNs Meet Global Covariance Pooling: Better Representation and
  Generalization
Deep CNNs Meet Global Covariance Pooling: Better Representation and Generalization
Qilong Wang
Jiangtao Xie
W. Zuo
Lei Zhang
P. Li
60
99
0
15 Apr 2019
Dynamic Graph CNN for Learning on Point Clouds
Dynamic Graph CNN for Learning on Point Clouds
Yue Wang
Yongbin Sun
Ziwei Liu
Sanjay E. Sarma
M. Bronstein
Justin Solomon
GNN
3DPC
257
6,144
0
24 Jan 2018
PointCNN: Convolution On $\mathcal{X}$-Transformed Points
PointCNN: Convolution On X\mathcal{X}X-Transformed Points
Yangyan Li
Rui Bu
Mingchao Sun
Wei Wu
Xinhan Di
Baoquan Chen
3DPC
228
2,443
0
23 Jan 2018
Defense against Adversarial Attacks Using High-Level Representation
  Guided Denoiser
Defense against Adversarial Attacks Using High-Level Representation Guided Denoiser
Fangzhou Liao
Ming Liang
Yinpeng Dong
Tianyu Pang
Xiaolin Hu
Jun Zhu
83
886
0
08 Dec 2017
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
VoxelNet: End-to-End Learning for Point Cloud Based 3D Object Detection
Yin Zhou
Oncel Tuzel
3DPC
107
3,722
0
17 Nov 2017
Fine-tuning CNN Image Retrieval with No Human Annotation
Fine-tuning CNN Image Retrieval with No Human Annotation
Filip Radenovic
Giorgos Tolias
Ondřej Chum
84
1,302
0
03 Nov 2017
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 Guibas
3DH
3DPC
3DV
PINN
484
14,309
0
02 Dec 2016
Multi-View 3D Object Detection Network for Autonomous Driving
Multi-View 3D Object Detection Network for Autonomous Driving
Xiaozhi Chen
Huimin Ma
Ji Wan
Bo Li
Tian Xia
3DPC
184
2,772
0
23 Nov 2016
ShapeNet: An Information-Rich 3D Model Repository
ShapeNet: An Information-Rich 3D Model Repository
Angel X. Chang
Thomas Funkhouser
Leonidas Guibas
Pat Hanrahan
Qi-Xing Huang
...
Shuran Song
Hao Su
Jianxiong Xiao
L. Yi
Feng Yu
3DV
162
5,524
0
09 Dec 2015
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