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Rethinking the compositionality of point clouds through regularization
  in the hyperbolic space

Rethinking the compositionality of point clouds through regularization in the hyperbolic space

21 September 2022
Antonio Montanaro
D. Valsesia
E. Magli
    3DPC
ArXivPDFHTML

Papers citing "Rethinking the compositionality of point clouds through regularization in the hyperbolic space"

5 / 5 papers shown
Title
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Understanding Hyperbolic Metric Learning through Hard Negative Sampling
Yun Yue
Fangzhou Lin
Guanyi Mou
Ziming Zhang
SSL
12
1
0
23 Apr 2024
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot
  Learning
GPr-Net: Geometric Prototypical Network for Point Cloud Few-Shot Learning
Tejas Anvekar
Dena Bazazian
3DPC
6
8
0
12 Apr 2023
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Walk in the Cloud: Learning Curves for Point Clouds Shape Analysis
Tiange Xiang
Chaoyi Zhang
Yang Song
Jianhui Yu
Weidong (Tom) Cai
3DPC
130
230
0
04 May 2021
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Point-GNN: Graph Neural Network for 3D Object Detection in a Point Cloud
Weijing Shi
Ragunathan
R. Rajkumar
3DPC
128
615
0
02 Mar 2020
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
1